1 00:00:06,239 --> 00:00:12,000 [ TICKING ] >>> WHAT YOU ARE WATCHING IS THE BUILDING, ACTUALLY THE PRINTING, OF A FOUR-BEDROOM HOME. 2 00:00:12,000 --> 00:00:17,884 [ TICKING ] >>> WHAT YOU ARE WATCHING IS THE BUILDING, ACTUALLY THE PRINTING, OF A FOUR-BEDROOM HOME. 3 00:00:17,951 --> 00:00:18,000 ON THIS CONSTRUCTION SITE, THERE'S NO HAMMERING OR SAWING, JUST A NOZZLE SQUIRTING OUT CONCRETE, LAYING DOWN THE AWWAL 4 00:00:18,000 --> 00:00:24,000 ON THIS CONSTRUCTION SITE, THERE'S NO HAMMERING OR SAWING, JUST A NOZZLE SQUIRTING OUT CONCRETE, LAYING DOWN THE AWWAL 5 00:00:24,000 --> 00:00:27,327 ON THIS CONSTRUCTION SITE, THERE'S NO HAMMERING OR SAWING, JUST A NOZZLE SQUIRTING OUT CONCRETE, LAYING DOWN THE AWWAL 6 00:00:27,394 --> 00:00:30,000 OF A HOUSE ONE LAYER AT A TIME. LOOK AT THIS. >> ONCE THIS TECHNOLOGY ARRIVES IN ITS FULL FORCE, I THINK IT 7 00:00:30,000 --> 00:00:33,466 OF A HOUSE ONE LAYER AT A TIME. LOOK AT THIS. >> ONCE THIS TECHNOLOGY ARRIVES IN ITS FULL FORCE, I THINK IT 8 00:00:33,533 --> 00:00:36,000 TRANSFORMS THE WAY WE BUILD. >> NOT JUST ON THE EARTH. >> THIS IS ACTUALLY THE MISSION THAT WE ARE SCHEDULED TO FLY. 9 00:00:36,000 --> 00:00:40,573 TRANSFORMS THE WAY WE BUILD. >> NOT JUST ON THE EARTH. >> THIS IS ACTUALLY THE MISSION THAT WE ARE SCHEDULED TO FLY. 10 00:00:40,640 --> 00:00:42,000 >> NASA IS PARTNERING WITH JASON BALLARD'S COMPANY TO PIONEER 3D PRINTING ON THE MOON. [ TICKING IT ] 11 00:00:42,000 --> 00:00:48,000 >> NASA IS PARTNERING WITH JASON BALLARD'S COMPANY TO PIONEER 3D PRINTING ON THE MOON. [ TICKING IT ] 12 00:00:48,000 --> 00:00:52,152 >> NASA IS PARTNERING WITH JASON BALLARD'S COMPANY TO PIONEER 3D PRINTING ON THE MOON. [ TICKING IT ] 13 00:00:52,218 --> 00:00:54,000 >>> THINK OF IT AS A POCKET THERAPIST. >> YOU WILL BE ABLE TO CONVERSE WITH IT JUST LIKE YOU WOULD WITH 14 00:00:54,000 --> 00:00:57,257 >>> THINK OF IT AS A POCKET THERAPIST. >> YOU WILL BE ABLE TO CONVERSE WITH IT JUST LIKE YOU WOULD WITH 15 00:00:57,323 --> 00:01:00,000 A HUMAN BEING. >> AN APP THAT USES ARTIFICIAL INTELLIGENCE TO MANAGE PROBLEMS LIKE DEFREPRESSION AND ANXIETY. 16 00:01:00,000 --> 00:01:06,000 A HUMAN BEING. >> AN APP THAT USES ARTIFICIAL INTELLIGENCE TO MANAGE PROBLEMS LIKE DEFREPRESSION AND ANXIETY. 17 00:01:06,000 --> 00:01:08,701 A HUMAN BEING. >> AN APP THAT USES ARTIFICIAL INTELLIGENCE TO MANAGE PROBLEMS LIKE DEFREPRESSION AND ANXIETY. 18 00:01:08,768 --> 00:01:12,000 >> THERE'S NEVER BEEN A GREATER NEED. THE TOOLS HAVE NEVER BEEN AS SOPHISTICATED AS THEY ARE. 19 00:01:12,000 --> 00:01:14,741 >> THERE'S NEVER BEEN A GREATER NEED. THE TOOLS HAVE NEVER BEEN AS SOPHISTICATED AS THEY ARE. 20 00:01:14,808 --> 00:01:18,000 >> REALLY? COMPUTER SIPSYCHIATRY? COME ON. >> I'M LESLEY STAHL. 21 00:01:18,000 --> 00:01:24,000 >> REALLY? COMPUTER SIPSYCHIATRY? COME ON. >> I'M LESLEY STAHL. 22 00:01:24,000 --> 00:01:24,317 >> REALLY? COMPUTER SIPSYCHIATRY? COME ON. >> I'M LESLEY STAHL. 23 00:01:24,384 --> 00:01:29,022 >> I'M BILL WHITAKER. >> I'M SHARYN ALFONSI. >> I'M JON WERTHEIM. >> I'M CECILIA VEGA. 24 00:01:29,088 --> 00:01:30,000 >> I'M SCOTT PELLEY. THOSE STORIES AND MORE TONIGHT ON "60 MINUTES." >>> THERE WAS A TIME WHEN 25 00:01:30,000 --> 00:01:36,000 >> I'M SCOTT PELLEY. THOSE STORIES AND MORE TONIGHT ON "60 MINUTES." >>> THERE WAS A TIME WHEN 26 00:01:36,000 --> 00:01:42,000 >> I'M SCOTT PELLEY. THOSE STORIES AND MORE TONIGHT ON "60 MINUTES." >>> THERE WAS A TIME WHEN 27 00:01:42,000 --> 00:01:42,402 >> I'M SCOTT PELLEY. THOSE STORIES AND MORE TONIGHT ON "60 MINUTES." >>> THERE WAS A TIME WHEN 28 00:01:42,469 --> 00:01:48,000 FUTURISTS WERE PREDICTING THAT THE ADVENT OF 3D PRINTING WAS GOING TO CHANGE OUR LIVES. THAT EACH OF OUR HOUSES WOULD 29 00:01:48,000 --> 00:01:49,943 FUTURISTS WERE PREDICTING THAT THE ADVENT OF 3D PRINTING WAS GOING TO CHANGE OUR LIVES. THAT EACH OF OUR HOUSES WOULD 30 00:01:50,009 --> 00:01:54,000 HAVE A 3D PRINTER TO MAKE WHATEVER ITEMS WE NEED. WHAT VIRTUALLY NO ONE PREDICTED WAS THAT THERE MIGHT SOON BE 3D 31 00:01:54,000 --> 00:02:00,000 HAVE A 3D PRINTER TO MAKE WHATEVER ITEMS WE NEED. WHAT VIRTUALLY NO ONE PREDICTED WAS THAT THERE MIGHT SOON BE 3D 32 00:02:00,000 --> 00:02:00,220 HAVE A 3D PRINTER TO MAKE WHATEVER ITEMS WE NEED. WHAT VIRTUALLY NO ONE PREDICTED WAS THAT THERE MIGHT SOON BE 3D 33 00:02:00,286 --> 00:02:06,000 PRINTERS THAT COULD CONSTRUCT ALMOST THE ENTIRE HOUSE. BUT AS WE FIRST REPORTED LAST FALL, THAT'S JUST WHAT A 34 00:02:06,000 --> 00:02:08,761 PRINTERS THAT COULD CONSTRUCT ALMOST THE ENTIRE HOUSE. BUT AS WE FIRST REPORTED LAST FALL, THAT'S JUST WHAT A 35 00:02:08,828 --> 00:02:12,000 7-YEAR-OLD AUSTIN, TEXAS, COMPANY CALLED ICON IS DOING. 3D PRINTING BUILDINGS. IF YOU BELIEVE ICON'S MISSION 36 00:02:12,000 --> 00:02:18,000 7-YEAR-OLD AUSTIN, TEXAS, COMPANY CALLED ICON IS DOING. 3D PRINTING BUILDINGS. IF YOU BELIEVE ICON'S MISSION 37 00:02:18,000 --> 00:02:19,772 7-YEAR-OLD AUSTIN, TEXAS, COMPANY CALLED ICON IS DOING. 3D PRINTING BUILDINGS. IF YOU BELIEVE ICON'S MISSION 38 00:02:19,839 --> 00:02:24,000 DRIVEN YOUNG FOUNDER, 3D PRINTING COULD REVOLUTIONIZE HOW WE BUILD, HELP CREATE AFFORDABLE HOUSING, AND EVEN ALLOW US TO, 39 00:02:24,000 --> 00:02:28,848 DRIVEN YOUNG FOUNDER, 3D PRINTING COULD REVOLUTIONIZE HOW WE BUILD, HELP CREATE AFFORDABLE HOUSING, AND EVEN ALLOW US TO, 40 00:02:28,915 --> 00:02:30,000 WAIT FOR IT, COLONIZE THE MOOD. SOUND OUT OF THIS WORLD? TAKE A LOOK. WHAT YOU ARE WATCHING IS THE 41 00:02:30,000 --> 00:02:36,000 WAIT FOR IT, COLONIZE THE MOOD. SOUND OUT OF THIS WORLD? TAKE A LOOK. WHAT YOU ARE WATCHING IS THE 42 00:02:36,000 --> 00:02:42,000 WAIT FOR IT, COLONIZE THE MOOD. SOUND OUT OF THIS WORLD? TAKE A LOOK. WHAT YOU ARE WATCHING IS THE 43 00:02:42,000 --> 00:02:43,229 WAIT FOR IT, COLONIZE THE MOOD. SOUND OUT OF THIS WORLD? TAKE A LOOK. WHAT YOU ARE WATCHING IS THE 44 00:02:43,296 --> 00:02:48,000 BUILDING, ACTUALLY THE PRINTING, OF A FOUR-BEDROOM HOME. THERE'S NO HAMMERING OR SAWING. JUST A NOZZLE SQUIRTING OUT 45 00:02:48,000 --> 00:02:53,239 BUILDING, ACTUALLY THE PRINTING, OF A FOUR-BEDROOM HOME. THERE'S NO HAMMERING OR SAWING. JUST A NOZZLE SQUIRTING OUT 46 00:02:53,306 --> 00:02:54,000 CONCRETE, KIND OF LIKE AN OVERSIZED SOFT SERVE ICE CREAM DISPENSER, LAYING DOWN THE WALLS OF A HOUSE ONE LAYER AT A TIME. 47 00:02:54,000 --> 00:03:00,000 CONCRETE, KIND OF LIKE AN OVERSIZED SOFT SERVE ICE CREAM DISPENSER, LAYING DOWN THE WALLS OF A HOUSE ONE LAYER AT A TIME. 48 00:03:00,000 --> 00:03:01,848 CONCRETE, KIND OF LIKE AN OVERSIZED SOFT SERVE ICE CREAM DISPENSER, LAYING DOWN THE WALLS OF A HOUSE ONE LAYER AT A TIME. 49 00:03:01,915 --> 00:03:06,000 IT'S THE BRAINCHILD OF A 41-YEAR-OLD TEXAN WHO IS RARELY WITHOUT HIS COWBOY HAT, JASON BALLARD. 50 00:03:06,000 --> 00:03:11,758 IT'S THE BRAINCHILD OF A 41-YEAR-OLD TEXAN WHO IS RARELY WITHOUT HIS COWBOY HAT, JASON BALLARD. 51 00:03:11,824 --> 00:03:12,000 3:00 3D PRINTIN A HOG A HOUSE. THIS HOUSE WAS PRINTED? >> YES, MA'AM. 52 00:03:12,000 --> 00:03:18,000 3:00 3D PRINTIN A HOG A HOUSE. THIS HOUSE WAS PRINTED? >> YES, MA'AM. 53 00:03:18,000 --> 00:03:19,766 3:00 3D PRINTIN A HOG A HOUSE. THIS HOUSE WAS PRINTED? >> YES, MA'AM. 54 00:03:19,832 --> 00:03:24,000 >> LOOK AT THIS. SO WAS THIS ONE. DOES A CONCRETE HOME PRINTED BY A ROBOT HAVE TO LOOK COLD AND 55 00:03:24,000 --> 00:03:28,241 >> LOOK AT THIS. SO WAS THIS ONE. DOES A CONCRETE HOME PRINTED BY A ROBOT HAVE TO LOOK COLD AND 56 00:03:28,308 --> 00:03:30,000 INDUSTRIAL? MAYBE NOT. I LIKE THE CURVED WALL. BALLARD GAVE US A PEEK AT THE 57 00:03:30,000 --> 00:03:36,000 INDUSTRIAL? MAYBE NOT. I LIKE THE CURVED WALL. BALLARD GAVE US A PEEK AT THE 58 00:03:36,000 --> 00:03:38,117 INDUSTRIAL? MAYBE NOT. I LIKE THE CURVED WALL. BALLARD GAVE US A PEEK AT THE 59 00:03:38,184 --> 00:03:42,000 FIRST COMPLETED MODEL HOME IN THE FIRST LARGE COMMUNITY OF 3D PRINTED HOUSES, 100 OF THEM. PART OF A HUGE NEW DEVELOPMENT 60 00:03:42,000 --> 00:03:45,959 FIRST COMPLETED MODEL HOME IN THE FIRST LARGE COMMUNITY OF 3D PRINTED HOUSES, 100 OF THEM. PART OF A HUGE NEW DEVELOPMENT 61 00:03:46,025 --> 00:03:48,000 NORTH OF AUSTIN. THEY WILL START IN THE HIGH $400,000 RANGE. HOW EXACTLY DOES 3D PRINTING A 62 00:03:48,000 --> 00:03:54,000 NORTH OF AUSTIN. THEY WILL START IN THE HIGH $400,000 RANGE. HOW EXACTLY DOES 3D PRINTING A 63 00:03:54,000 --> 00:03:55,335 NORTH OF AUSTIN. THEY WILL START IN THE HIGH $400,000 RANGE. HOW EXACTLY DOES 3D PRINTING A 64 00:03:55,401 --> 00:04:00,000 HOUSEWORK? IT STARTS WITH THIS 1.5 TON OF SACK DRY CONCRETE POWDER WHICH GETS MIXED WITH WATER, SAND AND 65 00:04:00,000 --> 00:04:03,810 HOUSEWORK? IT STARTS WITH THIS 1.5 TON OF SACK DRY CONCRETE POWDER WHICH GETS MIXED WITH WATER, SAND AND 66 00:04:03,876 --> 00:04:06,000 ADDITIVES, AND IS THEN PUMPED TO THE ROBOTIC PRINTER. >> YOU ARE LOOKING AT HOW WE CONTROL THE BEAD SIZE. 67 00:04:06,000 --> 00:04:11,484 ADDITIVES, AND IS THEN PUMPED TO THE ROBOTIC PRINTER. >> YOU ARE LOOKING AT HOW WE CONTROL THE BEAD SIZE. 68 00:04:11,551 --> 00:04:12,000 >> CONNER JENKINS, THE MANAGER OF CONSTRUCTION, EXPLAINS THE PRINTER COMPLETES ONE LAYER, CALL AID B BEAD, EVERY 30 MINUT 69 00:04:12,000 --> 00:04:18,000 >> CONNER JENKINS, THE MANAGER OF CONSTRUCTION, EXPLAINS THE PRINTER COMPLETES ONE LAYER, CALL AID B BEAD, EVERY 30 MINUT 70 00:04:18,000 --> 00:04:22,795 >> CONNER JENKINS, THE MANAGER OF CONSTRUCTION, EXPLAINS THE PRINTER COMPLETES ONE LAYER, CALL AID B BEAD, EVERY 30 MINUT 71 00:04:22,862 --> 00:04:24,000 BY WHICH TIME IT'S HARDENED ENOUGH TO BE READY FOR THE NEXT BEAD. STEEL IS ADDED EVERY TENTH LAYER 72 00:04:24,000 --> 00:04:28,968 BY WHICH TIME IT'S HARDENED ENOUGH TO BE READY FOR THE NEXT BEAD. STEEL IS ADDED EVERY TENTH LAYER 73 00:04:29,035 --> 00:04:30,000 FOR STRENGTH. IT TAKES ABOUT TWO WEEKS TO PRINT THE FULL 160 BEAD HOUSE. JEFRPG EN 74 00:04:30,000 --> 00:04:36,000 FOR STRENGTH. IT TAKES ABOUT TWO WEEKS TO PRINT THE FULL 160 BEAD HOUSE. JEFRPG EN 75 00:04:36,000 --> 00:04:37,744 FOR STRENGTH. IT TAKES ABOUT TWO WEEKS TO PRINT THE FULL 160 BEAD HOUSE. JEFRPG EN 76 00:04:37,810 --> 00:04:42,000 JENKINS GAVE ME THE CONTROLS, AN iPAD. >> THAT'S A LITTLE SKINNY. PRESS THE PLUS ONE REAL QUICK. 77 00:04:42,000 --> 00:04:42,515 JENKINS GAVE ME THE CONTROLS, AN iPAD. >> THAT'S A LITTLE SKINNY. PRESS THE PLUS ONE REAL QUICK. 78 00:04:42,582 --> 00:04:48,000 DONE. YOU JUST INCREASED THE BEAD SIZE. >> I WOULD BE WORRIED IF YOU 79 00:04:48,000 --> 00:04:50,089 DONE. YOU JUST INCREASED THE BEAD SIZE. >> I WOULD BE WORRIED IF YOU 80 00:04:50,156 --> 00:04:52,925 WERE YOU. THE PATH IS ENTIRELY PREPROGRAMMED. I COULDN'T MESS IT UP IF I 81 00:04:52,992 --> 00:04:54,000 TRIED. DON'T TELL THE PEOPLE. >> THAT'S THE MOST GORGEOUS BEAD I HAVE EVER SEEN. 82 00:04:54,000 --> 00:04:59,532 TRIED. DON'T TELL THE PEOPLE. >> THAT'S THE MOST GORGEOUS BEAD I HAVE EVER SEEN. 83 00:04:59,599 --> 00:05:00,000 THIS WILL BE THE HIGHEST SELLING HOUSE. >> AS JASON BALLARD SHOWS US, ICON IS ONLY 3D PRINTING WALLS. 84 00:05:00,000 --> 00:05:06,000 THIS WILL BE THE HIGHEST SELLING HOUSE. >> AS JASON BALLARD SHOWS US, ICON IS ONLY 3D PRINTING WALLS. 85 00:05:06,000 --> 00:05:06,673 THIS WILL BE THE HIGHEST SELLING HOUSE. >> AS JASON BALLARD SHOWS US, ICON IS ONLY 3D PRINTING WALLS. 86 00:05:06,739 --> 00:05:12,000 WITH CUTOUTS FOR PLUMBING AND ELECTRICITY. ROOFS, WINDOWS AND INSULATION ARE ADDED THE OWED-FASHIONED 87 00:05:12,000 --> 00:05:13,980 WITH CUTOUTS FOR PLUMBING AND ELECTRICITY. ROOFS, WINDOWS AND INSULATION ARE ADDED THE OWED-FASHIONED 88 00:05:14,047 --> 00:05:18,000 WAY, BY CONSTRUCTION WORKERS. HE CALLS IT A PARADIGM SHIFT. >> IT'S LIKE A WRIGHT BROTHERS MOMENT. 89 00:05:18,000 --> 00:05:22,555 WAY, BY CONSTRUCTION WORKERS. HE CALLS IT A PARADIGM SHIFT. >> IT'S LIKE A WRIGHT BROTHERS MOMENT. 90 00:05:22,622 --> 00:05:24,000 >> IN HOW WE CONSTRUCT HOUSING. WHY DO WE NEED A SHIFT LIKE THAT? >> RIGHT NOW, IT IS TOO 91 00:05:24,000 --> 00:05:29,562 >> IN HOW WE CONSTRUCT HOUSING. WHY DO WE NEED A SHIFT LIKE THAT? >> RIGHT NOW, IT IS TOO 92 00:05:29,629 --> 00:05:30,000 EXPENSIVE, IT FALLS OVER IN A HURRICANE IT BURNS UP IN A FIRE, EAT BIN EN BY TERMITES. TRIM ON LABOR. 93 00:05:30,000 --> 00:05:36,000 EXPENSIVE, IT FALLS OVER IN A HURRICANE IT BURNS UP IN A FIRE, EAT BIN EN BY TERMITES. TRIM ON LABOR. 94 00:05:36,000 --> 00:05:41,074 EXPENSIVE, IT FALLS OVER IN A HURRICANE IT BURNS UP IN A FIRE, EAT BIN EN BY TERMITES. TRIM ON LABOR. 95 00:05:41,140 --> 00:05:42,000 IT'S COOKIE CUTTER DEVELOPMENTS. WE ARE NOT SUCCEEDING. IT'S AN ECOLOGICAL DISASTER. IT'S EXISTENTIALLY URGENT THAT 96 00:05:42,000 --> 00:05:48,000 IT'S COOKIE CUTTER DEVELOPMENTS. WE ARE NOT SUCCEEDING. IT'S AN ECOLOGICAL DISASTER. IT'S EXISTENTIALLY URGENT THAT 97 00:05:48,000 --> 00:05:51,584 IT'S COOKIE CUTTER DEVELOPMENTS. WE ARE NOT SUCCEEDING. IT'S AN ECOLOGICAL DISASTER. IT'S EXISTENTIALLY URGENT THAT 98 00:05:51,651 --> 00:05:54,000 WE SHELTER OURSELVES WITHOUT RUINING THE PLANET WE HAVE TO LIVE ON. FIRE RESISTANCE, FLOOD 99 00:05:54,000 --> 00:06:00,000 WE SHELTER OURSELVES WITHOUT RUINING THE PLANET WE HAVE TO LIVE ON. FIRE RESISTANCE, FLOOD 100 00:06:00,000 --> 00:06:01,594 WE SHELTER OURSELVES WITHOUT RUINING THE PLANET WE HAVE TO LIVE ON. FIRE RESISTANCE, FLOOD 101 00:06:01,661 --> 00:06:06,000 RESISTANCE. >> HE SHOWED OF A 3D PRINTED WALL APRIL A CONVENTIONAL ONE. >> WHAT YOU HAVE -- COUNT THE 102 00:06:06,000 --> 00:06:09,602 RESISTANCE. >> HE SHOWED OF A 3D PRINTED WALL APRIL A CONVENTIONAL ONE. >> WHAT YOU HAVE -- COUNT THE 103 00:06:09,669 --> 00:06:12,000 MATERIAL. SIDING, ONE, MOISTURE BARRIER, TWO. SHEATHING THREE. 104 00:06:12,000 --> 00:06:13,306 MATERIAL. SIDING, ONE, MOISTURE BARRIER, TWO. SHEATHING THREE. 105 00:06:13,372 --> 00:06:18,000 STUD FOUR. DRYWALL FIVE. FLOAT, TAPE AND TEMPERATSTI TEX THREE. 106 00:06:18,000 --> 00:06:22,982 STUD FOUR. DRYWALL FIVE. FLOAT, TAPE AND TEMPERATSTI TEX THREE. 107 00:06:23,049 --> 00:06:24,000 YOU HAVE HALF A DOZEN STEPS TO DELIVER A WALL. >> LET'S TALK ABOUT WASTE. OVER HERE. 108 00:06:24,000 --> 00:06:30,000 YOU HAVE HALF A DOZEN STEPS TO DELIVER A WALL. >> LET'S TALK ABOUT WASTE. OVER HERE. 109 00:06:30,000 --> 00:06:34,227 YOU HAVE HALF A DOZEN STEPS TO DELIVER A WALL. >> LET'S TALK ABOUT WASTE. OVER HERE. 110 00:06:34,293 --> 00:06:36,000 >> THE END OF CONSTRUCTING, THERE ARE TRUCKLOADS OF WASTE LEFT OVER. THE STUDS HAVE OFF CUTS. 111 00:06:36,000 --> 00:06:41,634 >> THE END OF CONSTRUCTING, THERE ARE TRUCKLOADS OF WASTE LEFT OVER. THE STUDS HAVE OFF CUTS. 112 00:06:41,701 --> 00:06:42,000 SAME WITH SIDING. SAME WITH DRYWALL. >> WITH 3D PRINTING, HE SAYS, YOU ONLY PRINT WHAT YOU NEED. 113 00:06:42,000 --> 00:06:48,000 SAME WITH SIDING. SAME WITH DRYWALL. >> WITH 3D PRINTING, HE SAYS, YOU ONLY PRINT WHAT YOU NEED. 114 00:06:48,000 --> 00:06:50,910 SAME WITH SIDING. SAME WITH DRYWALL. >> WITH 3D PRINTING, HE SAYS, YOU ONLY PRINT WHAT YOU NEED. 115 00:06:50,977 --> 00:06:54,000 >> IF AN ALIEN SAW THE TWO WAYS OF BUILDING AND SAID, FROM FIRST PRINCIPLE, WHICH IS BETTER, THE AIL LIEN WOULD GO, STRONGER, 116 00:06:54,000 --> 00:07:00,000 >> IF AN ALIEN SAW THE TWO WAYS OF BUILDING AND SAID, FROM FIRST PRINCIPLE, WHICH IS BETTER, THE AIL LIEN WOULD GO, STRONGER, 117 00:07:00,000 --> 00:07:01,154 >> IF AN ALIEN SAW THE TWO WAYS OF BUILDING AND SAID, FROM FIRST PRINCIPLE, WHICH IS BETTER, THE AIL LIEN WOULD GO, STRONGER, 118 00:07:01,220 --> 00:07:06,000 FASTER, TERMITE RESISTANT, THIS IS THE BEST WAY TO BUILD. >> OLD-SCHOOL CONSTRUCTION WORKERS MAY DISAGREE. 119 00:07:06,000 --> 00:07:08,094 FASTER, TERMITE RESISTANT, THIS IS THE BEST WAY TO BUILD. >> OLD-SCHOOL CONSTRUCTION WORKERS MAY DISAGREE. 120 00:07:08,161 --> 00:07:12,000 IF HE SOUNDS LIKE A REVVED UP SALESMAN OR A PREACHER, THERE'S A REASON. HE GREW UP IN EAST TEXAS, A 121 00:07:12,000 --> 00:07:18,000 IF HE SOUNDS LIKE A REVVED UP SALESMAN OR A PREACHER, THERE'S A REASON. HE GREW UP IN EAST TEXAS, A 122 00:07:18,000 --> 00:07:18,137 IF HE SOUNDS LIKE A REVVED UP SALESMAN OR A PREACHER, THERE'S A REASON. HE GREW UP IN EAST TEXAS, A 123 00:07:18,204 --> 00:07:24,000 STUDIOUS, OUTDOORSY, SPIRITUAL KID, FIRST IN HIS FAMILY TO GRADUATE FROM COLLEGE. YOU WERE THINKING ABOUT BECOMING 124 00:07:24,000 --> 00:07:28,181 STUDIOUS, OUTDOORSY, SPIRITUAL KID, FIRST IN HIS FAMILY TO GRADUATE FROM COLLEGE. YOU WERE THINKING ABOUT BECOMING 125 00:07:28,247 --> 00:07:30,000 A PRIEST. >> ALMOST. GETTING THIS ITCH ABOUT HOUSING NOT BEING RIGHT. 126 00:07:30,000 --> 00:07:32,652 A PRIEST. >> ALMOST. GETTING THIS ITCH ABOUT HOUSING NOT BEING RIGHT. 127 00:07:32,718 --> 00:07:36,000 I STUDIED CONSERVATION. I WORKED AT THE HOMELESS SHELTER. I'M THINKING ABOUT HOMELESSNESS. 128 00:07:36,000 --> 00:07:42,000 I STUDIED CONSERVATION. I WORKED AT THE HOMELESS SHELTER. I'M THINKING ABOUT HOMELESSNESS. 129 00:07:42,000 --> 00:07:43,229 I STUDIED CONSERVATION. I WORKED AT THE HOMELESS SHELTER. I'M THINKING ABOUT HOMELESSNESS. 130 00:07:43,296 --> 00:07:48,000 I'M WORK, WITH ING IN SUSTAINAB BUILDING. I HAVE TO HELP MY BUILDING PULL DRYWALL. 131 00:07:48,000 --> 00:07:49,502 I'M WORK, WITH ING IN SUSTAINAB BUILDING. I HAVE TO HELP MY BUILDING PULL DRYWALL. 132 00:07:49,569 --> 00:07:54,000 LIFE IS PUTTING HOUSING IN FRONT OF ME. I HAVE BEEN APPROVED TO GO TO SEMINARY. 133 00:07:54,000 --> 00:07:54,207 LIFE IS PUTTING HOUSING IN FRONT OF ME. I HAVE BEEN APPROVED TO GO TO SEMINARY. 134 00:07:54,273 --> 00:08:00,000 I GO TO MY BISHOP OF TEXAS, ANDY DOYLE. I SAID, WHAT DO I DO? AT THE END HE SAID, JASON, I 135 00:08:00,000 --> 00:08:05,117 I GO TO MY BISHOP OF TEXAS, ANDY DOYLE. I SAID, WHAT DO I DO? AT THE END HE SAID, JASON, I 136 00:08:05,184 --> 00:08:06,000 WANT YOU TO PURSUE THIS HOUSING THING. THIS IS YOUR PRIESTHOOD. THIS IS YOUR VOCATION. 137 00:08:06,000 --> 00:08:09,021 WANT YOU TO PURSUE THIS HOUSING THING. THIS IS YOUR PRIESTHOOD. THIS IS YOUR VOCATION. 138 00:08:09,088 --> 00:08:12,000 IF IT DOESN'T WORK OUT, THE CHURCH HAS BEEN HERE, WE WILL BE HERE. >> THAT MUST HAVE TURNED THE 139 00:08:12,000 --> 00:08:14,594 IF IT DOESN'T WORK OUT, THE CHURCH HAS BEEN HERE, WE WILL BE HERE. >> THAT MUST HAVE TURNED THE 140 00:08:14,660 --> 00:08:17,897 SWITCH FOR YOU. >> IT DID. IT MADE IT MORE THAN A HOBBY OR BUSINESS. 141 00:08:17,964 --> 00:08:18,000 IT BECAME A MISSION. >> HE BEGAN PURSUING THAT MISSION WITH EVAN LOOMIS, A BUDDY FROM TEXAS A&M WHO HAD 142 00:08:18,000 --> 00:08:24,000 IT BECAME A MISSION. >> HE BEGAN PURSUING THAT MISSION WITH EVAN LOOMIS, A BUDDY FROM TEXAS A&M WHO HAD 143 00:08:24,000 --> 00:08:25,671 IT BECAME A MISSION. >> HE BEGAN PURSUING THAT MISSION WITH EVAN LOOMIS, A BUDDY FROM TEXAS A&M WHO HAD 144 00:08:25,738 --> 00:08:30,000 GONE INTO FINANCE. >> AS WE LOOKED AT IT, NOBODY HAD INCORPORATED THE HOLY TRINITY OF INNOVATION TO 145 00:08:30,000 --> 00:08:33,279 GONE INTO FINANCE. >> AS WE LOOKED AT IT, NOBODY HAD INCORPORATED THE HOLY TRINITY OF INNOVATION TO 146 00:08:33,346 --> 00:08:36,000 HOUSING. WHICH WAS ROBOTICS, ADVANCED MATERIALS AND SOFTWARE. >> IN A BAR ORROWED WHITE HOUSED 147 00:08:36,000 --> 00:08:41,654 HOUSING. WHICH WAS ROBOTICS, ADVANCED MATERIALS AND SOFTWARE. >> IN A BAR ORROWED WHITE HOUSED 148 00:08:41,721 --> 00:08:42,000 HAVING READ EVERYTHING THEY COULD FIND ABOUT THE MECHANICS OF 3D PRINTING, THEY TRIED TO DESIGN A 3D PRINTER THAT COULD 149 00:08:42,000 --> 00:08:47,526 HAVING READ EVERYTHING THEY COULD FIND ABOUT THE MECHANICS OF 3D PRINTING, THEY TRIED TO DESIGN A 3D PRINTER THAT COULD 150 00:08:47,593 --> 00:08:48,000 MAKE A BUILDING. HOW BIG WAS IT? >> IT WAS TEN FEET BY TEN FEET BY TEN FEET. 151 00:08:48,000 --> 00:08:53,900 MAKE A BUILDING. HOW BIG WAS IT? >> IT WAS TEN FEET BY TEN FEET BY TEN FEET. 152 00:08:53,966 --> 00:08:54,000 IT WOULD HAVE PRINTED -- IF WE GOT IT TO WORK, IF WE DID NOT IT WOULD HAVE PRINTED A 100 SQUARE FOOT DEMONSTRATION BUILDING. 153 00:08:54,000 --> 00:09:00,000 IT WOULD HAVE PRINTED -- IF WE GOT IT TO WORK, IF WE DID NOT IT WOULD HAVE PRINTED A 100 SQUARE FOOT DEMONSTRATION BUILDING. 154 00:09:00,000 --> 00:09:03,075 IT WOULD HAVE PRINTED -- IF WE GOT IT TO WORK, IF WE DID NOT IT WOULD HAVE PRINTED A 100 SQUARE FOOT DEMONSTRATION BUILDING. 155 00:09:03,142 --> 00:09:06,000 >> THEY DIDN'T GET IT TO WORK. ENTER ALEX LE ROUX, HE WAS TINKERING WITH A SIMILAR IDEA. DID YOU EVER ACTUALLY BUILD 156 00:09:06,000 --> 00:09:12,000 >> THEY DIDN'T GET IT TO WORK. ENTER ALEX LE ROUX, HE WAS TINKERING WITH A SIMILAR IDEA. DID YOU EVER ACTUALLY BUILD 157 00:09:12,000 --> 00:09:12,318 >> THEY DIDN'T GET IT TO WORK. ENTER ALEX LE ROUX, HE WAS TINKERING WITH A SIMILAR IDEA. DID YOU EVER ACTUALLY BUILD 158 00:09:12,385 --> 00:09:16,422 ANYTHING? >> YEAH. I DID. >> WHAT WAS IT? 159 00:09:16,489 --> 00:09:18,000 >> A PRINTED SHED. IT WAS A BIG MILESTONE. >> IT'S A STRUCTURE. >> THE THREE CO-FOUNDED ICON IN 160 00:09:18,000 --> 00:09:24,000 >> A PRINTED SHED. IT WAS A BIG MILESTONE. >> IT'S A STRUCTURE. >> THE THREE CO-FOUNDED ICON IN 161 00:09:24,000 --> 00:09:24,297 >> A PRINTED SHED. IT WAS A BIG MILESTONE. >> IT'S A STRUCTURE. >> THE THREE CO-FOUNDED ICON IN 162 00:09:24,363 --> 00:09:30,000 2017 AND SOON GOT FUNDING TO PRINT A SMALL HOUSE TO UNVEIL AT AUSTIN'S SOUTH BY SOUTHWEST FESTIVAL THE FOLLOWING SPRING. 163 00:09:30,000 --> 00:09:33,439 2017 AND SOON GOT FUNDING TO PRINT A SMALL HOUSE TO UNVEIL AT AUSTIN'S SOUTH BY SOUTHWEST FESTIVAL THE FOLLOWING SPRING. 164 00:09:33,506 --> 00:09:36,000 THEY BUILT A NEW, LARGER PRINTER THAT WORKED. >> WE GOT EXCITED. >> JASON, WHERE ARE WE? 165 00:09:36,000 --> 00:09:40,880 THEY BUILT A NEW, LARGER PRINTER THAT WORKED. >> WE GOT EXCITED. >> JASON, WHERE ARE WE? 166 00:09:40,947 --> 00:09:42,000 >> WE ARE PRINTING THE WORLD'S FIRST PERMITTED 3D PRINTED HOUSE. >> THE KINKS HADN'T QUITE BEEN 167 00:09:42,000 --> 00:09:47,353 >> WE ARE PRINTING THE WORLD'S FIRST PERMITTED 3D PRINTED HOUSE. >> THE KINKS HADN'T QUITE BEEN 168 00:09:47,420 --> 00:09:48,000 WORKED OUT. >> AT ONE POINT, WE RAN THE PRINTER INTO THE PRINT. >> EXPLAIN THAT. 169 00:09:48,000 --> 00:09:52,158 WORKED OUT. >> AT ONE POINT, WE RAN THE PRINTER INTO THE PRINT. >> EXPLAIN THAT. 170 00:09:52,224 --> 00:09:54,000 >> IT'S SUPPOSED TO GO UP. IT WENT DOWN AND DROVE INTO THE HOUSE. PUSHED LAYERS OFF. 171 00:09:54,000 --> 00:09:56,395 >> IT'S SUPPOSED TO GO UP. IT WENT DOWN AND DROVE INTO THE HOUSE. PUSHED LAYERS OFF. 172 00:09:56,462 --> 00:10:00,000 >> FUNNY NOW, BUT NOT SO MUCH AT THE TIME. >> ENGINEERS, FOLKS HELPING US, SAT US DOWN AND SAID, IT'S BEEN 173 00:10:00,000 --> 00:10:04,437 >> FUNNY NOW, BUT NOT SO MUCH AT THE TIME. >> ENGINEERS, FOLKS HELPING US, SAT US DOWN AND SAID, IT'S BEEN 174 00:10:04,503 --> 00:10:06,000 A GREAT EFFORT. YOU ARE NOT GOING TO GET THERE. GET SOME REST. WE WERE BASICALLY LIKE, GET OUT 175 00:10:06,000 --> 00:10:08,507 A GREAT EFFORT. YOU ARE NOT GOING TO GET THERE. GET SOME REST. WE WERE BASICALLY LIKE, GET OUT 176 00:10:08,574 --> 00:10:12,000 OF HERE. ANYONE WHO WANTS TO FINISH THIS HOME MAY STAY. EVERYONE ELSE NEEDS TO LEAVE. 177 00:10:12,000 --> 00:10:16,749 OF HERE. ANYONE WHO WANTS TO FINISH THIS HOME MAY STAY. EVERYONE ELSE NEEDS TO LEAVE. 178 00:10:16,816 --> 00:10:18,000 >> THE THREE OF YOU ALL AGREED ON THAT? >> YEAH. >> WE KNEW WE WERE ON TO 179 00:10:18,000 --> 00:10:22,254 >> THE THREE OF YOU ALL AGREED ON THAT? >> YEAH. >> WE KNEW WE WERE ON TO 180 00:10:22,321 --> 00:10:24,000 SOMETHING. THIS WAS OUR SHOT. WE WEREN'T GOING TO MISS IT. >> ALEX. 181 00:10:24,000 --> 00:10:26,625 SOMETHING. THIS WAS OUR SHOT. WE WEREN'T GOING TO MISS IT. >> ALEX. 182 00:10:26,692 --> 00:10:30,000 >> THEY WORKED AROUND THE CLOCK AND MADE THE FESTIVAL DEADLINE BY JUST HOURS. >> ANY WORD FOR THE VICTORY LAP? 183 00:10:30,000 --> 00:10:36,000 >> THEY WORKED AROUND THE CLOCK AND MADE THE FESTIVAL DEADLINE BY JUST HOURS. >> ANY WORD FOR THE VICTORY LAP? 184 00:10:36,000 --> 00:10:37,770 >> THEY WORKED AROUND THE CLOCK AND MADE THE FESTIVAL DEADLINE BY JUST HOURS. >> ANY WORD FOR THE VICTORY LAP? 185 00:10:37,837 --> 00:10:42,000 >> NEVER, NEVER, NEVER, NEVER GIVE UP. >> I STAND BY THOSE WORDS. NEVER GIVE UP. 186 00:10:42,000 --> 00:10:46,312 >> NEVER, NEVER, NEVER, NEVER GIVE UP. >> I STAND BY THOSE WORDS. NEVER GIVE UP. 187 00:10:46,379 --> 00:10:48,000 >> HE SHOWED THE 350 SQUARE FOOT FINISHED HOUSE. IT'S A SMALL HOUSE. BUT IT'S ELEGANT. 188 00:10:48,000 --> 00:10:53,085 >> HE SHOWED THE 350 SQUARE FOOT FINISHED HOUSE. IT'S A SMALL HOUSE. BUT IT'S ELEGANT. 189 00:10:53,152 --> 00:10:54,000 >> IT'S NOT SO BAD. I THINK THAT'S HOW PEOPLE FELT ABOUT IT. BETTER THAN THEY EXPECTED. 190 00:10:54,000 --> 00:10:57,456 >> IT'S NOT SO BAD. I THINK THAT'S HOW PEOPLE FELT ABOUT IT. BETTER THAN THEY EXPECTED. 191 00:10:57,523 --> 00:11:00,000 IT WAS EASY TO BELIEVE, THEY WILL GET BETTER. >> THAT SMALL HOUSE WON ICON A LOT OF ATTENTION. 192 00:11:00,000 --> 00:11:06,000 IT WAS EASY TO BELIEVE, THEY WILL GET BETTER. >> THAT SMALL HOUSE WON ICON A LOT OF ATTENTION. 193 00:11:06,000 --> 00:11:06,399 IT WAS EASY TO BELIEVE, THEY WILL GET BETTER. >> THAT SMALL HOUSE WON ICON A LOT OF ATTENTION. 194 00:11:06,465 --> 00:11:12,000 AN INNOVATION AWARD. INVESTORS. MEETINGS WITH THE MILITARY. AND WITH ANOTHER AUSTIN 195 00:11:12,000 --> 00:11:12,671 AN INNOVATION AWARD. INVESTORS. MEETINGS WITH THE MILITARY. AND WITH ANOTHER AUSTIN 196 00:11:12,738 --> 00:11:18,000 INNOVATOR, ALAN GRAHAM WHO CREATED A VILLAGE CALLED COMMUNITY FIRST THAT PROVIDES SMALL HOMES TO SEVERAL HUNDRED 197 00:11:18,000 --> 00:11:22,415 INNOVATOR, ALAN GRAHAM WHO CREATED A VILLAGE CALLED COMMUNITY FIRST THAT PROVIDES SMALL HOMES TO SEVERAL HUNDRED 198 00:11:22,481 --> 00:11:24,000 OF THE FORMERLY HOMELESS. >> OUR GOAL WAS THE MOST DESPISE DESPIDESPISE DESPISED OUTLASTS. 199 00:11:24,000 --> 00:11:30,000 OF THE FORMERLY HOMELESS. >> OUR GOAL WAS THE MOST DESPISE DESPIDESPISE DESPISED OUTLASTS. 200 00:11:30,000 --> 00:11:30,556 OF THE FORMERLY HOMELESS. >> OUR GOAL WAS THE MOST DESPISE DESPIDESPISE DESPISED OUTLASTS. 201 00:11:30,623 --> 00:11:36,000 AVERAGE TIME ON THE STREET IS NINE YEARS. AVERAGE AGE MUCH DEATH IS 59. >> IT'S A MIRACLE OUT THERE. 202 00:11:36,000 --> 00:11:37,530 AVERAGE TIME ON THE STREET IS NINE YEARS. AVERAGE AGE MUCH DEATH IS 59. >> IT'S A MIRACLE OUT THERE. 203 00:11:37,596 --> 00:11:42,000 WHEN WE WERE READY TO BUILD HOMES, ONE OF THE FIRST ORGANIZATIONS WE REACHED OUT TO WAS ALAN GRAHAM. 204 00:11:42,000 --> 00:11:43,269 WHEN WE WERE READY TO BUILD HOMES, ONE OF THE FIRST ORGANIZATIONS WE REACHED OUT TO WAS ALAN GRAHAM. 205 00:11:43,335 --> 00:11:48,000 >> ICON 3D PRINTED A WELCOME CENTER. THEN SIX SMALL HOUSES FOR VILLAGE RESIDENTS. 206 00:11:48,000 --> 00:11:50,643 >> ICON 3D PRINTED A WELCOME CENTER. THEN SIX SMALL HOUSES FOR VILLAGE RESIDENTS. 207 00:11:50,709 --> 00:11:54,000 THAT'S HOW 73-YEAR-OLD TIM SHEA, WHO BATTLED HEROIN ADDICTION FOR DECADES, IN 2020 BECAME THE FIRST PERSON IN THIS COUNTRY TO 208 00:11:54,000 --> 00:12:00,000 THAT'S HOW 73-YEAR-OLD TIM SHEA, WHO BATTLED HEROIN ADDICTION FOR DECADES, IN 2020 BECAME THE FIRST PERSON IN THIS COUNTRY TO 209 00:12:00,000 --> 00:12:00,252 THAT'S HOW 73-YEAR-OLD TIM SHEA, WHO BATTLED HEROIN ADDICTION FOR DECADES, IN 2020 BECAME THE FIRST PERSON IN THIS COUNTRY TO 210 00:12:00,319 --> 00:12:06,000 LIVE IN A 3D PRINTED HOME. BEFORE I SAW THE HOUSES, I THOUGHT, IT MUST BE COLD. YOU ARE SHAKING BECAUSE YOU 211 00:12:06,000 --> 00:12:09,995 LIVE IN A 3D PRINTED HOME. BEFORE I SAW THE HOUSES, I THOUGHT, IT MUST BE COLD. YOU ARE SHAKING BECAUSE YOU 212 00:12:10,062 --> 00:12:12,000 DON'T THINK THAT. >> NO. IT'S THE OPPOSITE. YOU FEEL EMBRACED. 213 00:12:12,000 --> 00:12:15,301 DON'T THINK THAT. >> NO. IT'S THE OPPOSITE. YOU FEEL EMBRACED. 214 00:12:15,367 --> 00:12:18,000 EM EMVEL LOP EM -- ENVELOPED. >> HE WANTED TO MAKE SURE THEY 215 00:12:18,000 --> 00:12:24,000 EM EMVEL LOP EM -- ENVELOPED. >> HE WANTED TO MAKE SURE THEY 216 00:12:24,000 --> 00:12:27,813 EM EMVEL LOP EM -- ENVELOPED. >> HE WANTED TO MAKE SURE THEY 217 00:12:27,880 --> 00:12:30,000 WERE THE FIRST. >> THE FIRST PERSON IN NORTH AMERICA TO LIVE IN A 3D PRINTED HOUSE WAS HOMELESS. 218 00:12:30,000 --> 00:12:35,955 WERE THE FIRST. >> THE FIRST PERSON IN NORTH AMERICA TO LIVE IN A 3D PRINTED HOUSE WAS HOMELESS. 219 00:12:36,021 --> 00:12:42,000 >> YEAH. I KNOW. ISN'T THAT SOMETHING? >> THE YEARS SINCE HAVE SEEN 220 00:12:42,000 --> 00:12:43,796 >> YEAH. I KNOW. ISN'T THAT SOMETHING? >> THE YEARS SINCE HAVE SEEN 221 00:12:43,863 --> 00:12:48,000 TREMENDOUS GROWTH. A NEW FACTORY. A FACILITY CALLED PRINTLAND TO EXPERIMENT WITH NEW DESIGNS. 222 00:12:48,000 --> 00:12:54,000 TREMENDOUS GROWTH. A NEW FACTORY. A FACILITY CALLED PRINTLAND TO EXPERIMENT WITH NEW DESIGNS. 223 00:12:54,000 --> 00:12:54,440 TREMENDOUS GROWTH. A NEW FACTORY. A FACILITY CALLED PRINTLAND TO EXPERIMENT WITH NEW DESIGNS. 224 00:12:54,507 --> 00:13:00,000 ICON HAS PRINTED SMALL HOMES IN RURAL MEXICO, VEHICLE HIDE STRUCTURES FOR THE MARINE E IC BARRACKS AND HOMES WITH WAIVE W 225 00:13:00,000 --> 00:13:06,000 ICON HAS PRINTED SMALL HOMES IN RURAL MEXICO, VEHICLE HIDE STRUCTURES FOR THE MARINE E IC BARRACKS AND HOMES WITH WAIVE W 226 00:13:06,000 --> 00:13:12,000 ICON HAS PRINTED SMALL HOMES IN RURAL MEXICO, VEHICLE HIDE STRUCTURES FOR THE MARINE E IC BARRACKS AND HOMES WITH WAIVE W 227 00:13:12,000 --> 00:13:14,960 ICON HAS PRINTED SMALL HOMES IN RURAL MEXICO, VEHICLE HIDE STRUCTURES FOR THE MARINE E IC BARRACKS AND HOMES WITH WAIVE W 228 00:13:15,027 --> 00:13:18,000 HOMES THAT WOULD BE EXPENSIVE IF BUILD TRADITIONALLY. IN YOUR MIND, IS YOUR CUSTOMER A HOMELESS PERSON OR IS YOUR 229 00:13:18,000 --> 00:13:22,601 HOMES THAT WOULD BE EXPENSIVE IF BUILD TRADITIONALLY. IN YOUR MIND, IS YOUR CUSTOMER A HOMELESS PERSON OR IS YOUR 230 00:13:22,668 --> 00:13:24,000 CUSTOMER ME? >> THERE'S A TRICK HERE. WHAT OUR HEART WANTS DO IS TO SERVE THE VERY POOR. 231 00:13:24,000 --> 00:13:30,000 CUSTOMER ME? >> THERE'S A TRICK HERE. WHAT OUR HEART WANTS DO IS TO SERVE THE VERY POOR. 232 00:13:30,000 --> 00:13:30,576 CUSTOMER ME? >> THERE'S A TRICK HERE. WHAT OUR HEART WANTS DO IS TO SERVE THE VERY POOR. 233 00:13:30,643 --> 00:13:34,680 IT'S CONFUSING FOR PEOPLE TO UNDERSTAND. I THOUGHT YOU WERE HELPING HOMELESSNESS. 234 00:13:34,747 --> 00:13:36,000 I WOULD RESIGN IF I WAS ONLY ALLOWED TO BUILD LUXURY HOMES. WE WOULD GO BANKRUPT RIGHT NOW IF ALL WE BUILT WAS 3% MARGIN 235 00:13:36,000 --> 00:13:42,000 I WOULD RESIGN IF I WAS ONLY ALLOWED TO BUILD LUXURY HOMES. WE WOULD GO BANKRUPT RIGHT NOW IF ALL WE BUILT WAS 3% MARGIN 236 00:13:42,000 --> 00:13:43,389 I WOULD RESIGN IF I WAS ONLY ALLOWED TO BUILD LUXURY HOMES. WE WOULD GO BANKRUPT RIGHT NOW IF ALL WE BUILT WAS 3% MARGIN 237 00:13:43,455 --> 00:13:48,000 HOMES FOR HOMELESS PEOPLE. ONCE THIS ARRIVES IN ITS FULL FORCE, I THINK IT TRANSFORMS THE WAY WE BUILD. 238 00:13:48,000 --> 00:13:51,964 HOMES FOR HOMELESS PEOPLE. ONCE THIS ARRIVES IN ITS FULL FORCE, I THINK IT TRANSFORMS THE WAY WE BUILD. 239 00:13:52,031 --> 00:13:54,000 >> NOT JUST ON THE EARTH. 3D PRINTING ON THE MOON WHEN WE COME BACK. >>> IT HAS BEEN A STAPLE OF 240 00:13:54,000 --> 00:14:00,000 >> NOT JUST ON THE EARTH. 3D PRINTING ON THE MOON WHEN WE COME BACK. >>> IT HAS BEEN A STAPLE OF 241 00:14:00,000 --> 00:14:06,000 >> NOT JUST ON THE EARTH. 3D PRINTING ON THE MOON WHEN WE COME BACK. >>> IT HAS BEEN A STAPLE OF 242 00:14:06,000 --> 00:14:09,048 >> NOT JUST ON THE EARTH. 3D PRINTING ON THE MOON WHEN WE COME BACK. >>> IT HAS BEEN A STAPLE OF 243 00:14:09,114 --> 00:14:12,000 SCIENCE FICTION FOREVER. HUMANS LIVING AND WORKING ON THE MOON. BUT FOR NASA, THAT DREAM IS 244 00:14:12,000 --> 00:14:16,689 SCIENCE FICTION FOREVER. HUMANS LIVING AND WORKING ON THE MOON. BUT FOR NASA, THAT DREAM IS 245 00:14:16,755 --> 00:14:18,000 ALMOST WITHIN REACH. THEIR NEW ARTEMIS PROGRAM PLANS TO RETURN AMERICAN ASTRONAUTS TO THE MOON FOR THE FIRST TIME IN 246 00:14:18,000 --> 00:14:24,000 ALMOST WITHIN REACH. THEIR NEW ARTEMIS PROGRAM PLANS TO RETURN AMERICAN ASTRONAUTS TO THE MOON FOR THE FIRST TIME IN 247 00:14:24,000 --> 00:14:24,663 ALMOST WITHIN REACH. THEIR NEW ARTEMIS PROGRAM PLANS TO RETURN AMERICAN ASTRONAUTS TO THE MOON FOR THE FIRST TIME IN 248 00:14:24,730 --> 00:14:30,000 MORE THAN 50 YEARS. THIS TIME, NOT JUST TO VISIT, BUT EVENTUALLY TO STAY AND EVEN USE THE MOON AS A BASE FOR 249 00:14:30,000 --> 00:14:33,072 MORE THAN 50 YEARS. THIS TIME, NOT JUST TO VISIT, BUT EVENTUALLY TO STAY AND EVEN USE THE MOON AS A BASE FOR 250 00:14:33,138 --> 00:14:36,000 EPLORING MARS AND BEYOND. BUT STAYING ON THE MOON REQUIRES INFRASTRUCTURE, LANDING PADS, ROADS, HOUSING. 251 00:14:36,000 --> 00:14:42,000 EPLORING MARS AND BEYOND. BUT STAYING ON THE MOON REQUIRES INFRASTRUCTURE, LANDING PADS, ROADS, HOUSING. 252 00:14:42,000 --> 00:14:42,481 EPLORING MARS AND BEYOND. BUT STAYING ON THE MOON REQUIRES INFRASTRUCTURE, LANDING PADS, ROADS, HOUSING. 253 00:14:42,548 --> 00:14:48,000 AND YOU CAN'T EXACTLY BRING TWO BY FOURS AND SHEETROCK ON A SPACECRAFT. THAT'S WHERE 3D PRINTING COMES 254 00:14:48,000 --> 00:14:51,090 AND YOU CAN'T EXACTLY BRING TWO BY FOURS AND SHEETROCK ON A SPACECRAFT. THAT'S WHERE 3D PRINTING COMES 255 00:14:51,156 --> 00:14:54,000 IN. NASA IS PARTNERING WITH JASON BALLARD'S COMPANY ICON TO PIONEER 3D PRINTING ON THE MOON. 256 00:14:54,000 --> 00:15:00,000 IN. NASA IS PARTNERING WITH JASON BALLARD'S COMPANY ICON TO PIONEER 3D PRINTING ON THE MOON. 257 00:15:00,000 --> 00:15:01,200 IN. NASA IS PARTNERING WITH JASON BALLARD'S COMPANY ICON TO PIONEER 3D PRINTING ON THE MOON. 258 00:15:01,267 --> 00:15:06,000 >> THREE, TWO, ONE. LIFTOFF OF ARTEMIS. >> IN LATE 2022, NASA LAUNCHED THE FIRST IN A SERIES OF ARTEMIS 259 00:15:06,000 --> 00:15:10,809 >> THREE, TWO, ONE. LIFTOFF OF ARTEMIS. >> IN LATE 2022, NASA LAUNCHED THE FIRST IN A SERIES OF ARTEMIS 260 00:15:10,876 --> 00:15:12,000 MISSIONS. THE NEXT, WITH CREW ON BOARD, IS NOW SCHEDULED FOR LATE 2025. BY THE END OF THE DECADE, AN 261 00:15:12,000 --> 00:15:18,000 MISSIONS. THE NEXT, WITH CREW ON BOARD, IS NOW SCHEDULED FOR LATE 2025. BY THE END OF THE DECADE, AN 262 00:15:18,000 --> 00:15:21,320 MISSIONS. THE NEXT, WITH CREW ON BOARD, IS NOW SCHEDULED FOR LATE 2025. BY THE END OF THE DECADE, AN 263 00:15:21,387 --> 00:15:24,000 ICON PRINTER IS SUPPOSED TO FLY TO THE MOON TO TEST PRINT PART OF A LANDING PAD. JASON BALLARD, WHO ONCE APPLIED 264 00:15:24,000 --> 00:15:29,962 ICON PRINTER IS SUPPOSED TO FLY TO THE MOON TO TEST PRINT PART OF A LANDING PAD. JASON BALLARD, WHO ONCE APPLIED 265 00:15:30,029 --> 00:15:36,000 TO BECOME AN ASTRONAUT BUT WAS REJECTED, CAN'T WAIT. >> IF THE SCHEDULE HOLDS OR APPROXIMATELY HOLDS, THE FIRST 266 00:15:36,000 --> 00:15:39,505 TO BECOME AN ASTRONAUT BUT WAS REJECTED, CAN'T WAIT. >> IF THE SCHEDULE HOLDS OR APPROXIMATELY HOLDS, THE FIRST 267 00:15:39,571 --> 00:15:42,000 OBJECT BUILT ON ANOTHER WORLD IS BUILT WITH ICON HARDWARE. >> HE WANTS ICON TO BE THE FIRST COMPANY TO MAKE SOMETHING ON 268 00:15:42,000 --> 00:15:45,444 OBJECT BUILT ON ANOTHER WORLD IS BUILT WITH ICON HARDWARE. >> HE WANTS ICON TO BE THE FIRST COMPANY TO MAKE SOMETHING ON 269 00:15:45,511 --> 00:15:48,000 ANOTHER WORLD. >> SO DO WE. >> AT MARSHALL SPACE FLIGHT CENTER, NASA SCIENTIST JENNIFER 270 00:15:48,000 --> 00:15:54,000 ANOTHER WORLD. >> SO DO WE. >> AT MARSHALL SPACE FLIGHT CENTER, NASA SCIENTIST JENNIFER 271 00:15:54,000 --> 00:15:55,954 ANOTHER WORLD. >> SO DO WE. >> AT MARSHALL SPACE FLIGHT CENTER, NASA SCIENTIST JENNIFER 272 00:15:56,021 --> 00:16:00,000 EDMUNDSON AND CORKY CLINTON RUN A PROGRAM CALLED MMPACT. >> YOU PEOPLE AT NASA, YOU COME UP 273 00:16:00,000 --> 00:16:06,000 EDMUNDSON AND CORKY CLINTON RUN A PROGRAM CALLED MMPACT. >> YOU PEOPLE AT NASA, YOU COME UP 274 00:16:06,000 --> 00:16:10,302 EDMUNDSON AND CORKY CLINTON RUN A PROGRAM CALLED MMPACT. >> YOU PEOPLE AT NASA, YOU COME UP 275 00:16:10,369 --> 00:16:12,000 WITH THESE VERY, VERY LONG NAMES. >> THAT'S WHY WE CALL IT MMPACT. >> THE KEY WORD THERE IS 276 00:16:12,000 --> 00:16:17,743 WITH THESE VERY, VERY LONG NAMES. >> THAT'S WHY WE CALL IT MMPACT. >> THE KEY WORD THERE IS 277 00:16:17,810 --> 00:16:18,000 AUTONOMOUS. >> WE WANT TO MAKE STRUCTURES THAT WE NEED WITHOUT HAVING TO BE TENDED BY ASTRONAUTS. 278 00:16:18,000 --> 00:16:23,082 AUTONOMOUS. >> WE WANT TO MAKE STRUCTURES THAT WE NEED WITHOUT HAVING TO BE TENDED BY ASTRONAUTS. 279 00:16:23,148 --> 00:16:24,000 >> IF YOU HAVE A TRULY SUSTAINABLE PRESENCE ON A LUNAR SURFACE, YOU HAVE TO BE AN EARTH INDEPENDENT AS POSSIBLE. 280 00:16:24,000 --> 00:16:30,000 >> IF YOU HAVE A TRULY SUSTAINABLE PRESENCE ON A LUNAR SURFACE, YOU HAVE TO BE AN EARTH INDEPENDENT AS POSSIBLE. 281 00:16:30,000 --> 00:16:30,022 >> IF YOU HAVE A TRULY SUSTAINABLE PRESENCE ON A LUNAR SURFACE, YOU HAVE TO BE AN EARTH INDEPENDENT AS POSSIBLE. 282 00:16:30,089 --> 00:16:36,000 >> NASA WAS INTERESTED IN 3D PRINTING HAVING LOOKED AT AN EARLY VERSION ALMOST 20 YEARS AGO. 283 00:16:36,000 --> 00:16:36,895 >> NASA WAS INTERESTED IN 3D PRINTING HAVING LOOKED AT AN EARLY VERSION ALMOST 20 YEARS AGO. 284 00:16:36,962 --> 00:16:42,000 WHEN THEY HEARD ABOUT THE PROGRESS ICON HAD MADE WITH THEIR FIRST HOUSES IN AUSTIN, CORKY CLINTON TRAVELED THERE TO 285 00:16:42,000 --> 00:16:43,836 WHEN THEY HEARD ABOUT THE PROGRESS ICON HAD MADE WITH THEIR FIRST HOUSES IN AUSTIN, CORKY CLINTON TRAVELED THERE TO 286 00:16:43,902 --> 00:16:48,000 TAKE A LOOK. >> BEING AN ENGINEER, I SPENT A LOT OF MY TIME GOING AROUND AND LOOKING AT THE SIZE OF THE BEADS 287 00:16:48,000 --> 00:16:51,110 TAKE A LOOK. >> BEING AN ENGINEER, I SPENT A LOT OF MY TIME GOING AROUND AND LOOKING AT THE SIZE OF THE BEADS 288 00:16:51,176 --> 00:16:54,000 AND HOW THEY WENT AROUND THE COR S CORNERS. I WAS IMPRESSED. 289 00:16:54,000 --> 00:16:56,715 AND HOW THEY WENT AROUND THE COR S CORNERS. I WAS IMPRESSED. 290 00:16:56,782 --> 00:17:00,000 >> IMPRESSED ENOUGH THAT NASA GAVE ICON DEVELOPMENT MONEY IN 2020 AND THEN TWO YEARS LATER, A $57 MILLION CONTRACT. 291 00:17:00,000 --> 00:17:06,000 >> IMPRESSED ENOUGH THAT NASA GAVE ICON DEVELOPMENT MONEY IN 2020 AND THEN TWO YEARS LATER, A $57 MILLION CONTRACT. 292 00:17:06,000 --> 00:17:06,258 >> IMPRESSED ENOUGH THAT NASA GAVE ICON DEVELOPMENT MONEY IN 2020 AND THEN TWO YEARS LATER, A $57 MILLION CONTRACT. 293 00:17:06,325 --> 00:17:12,000 >> WELCOME TO SPACELAB. THIS IS WHERE WE FIGURE OUT HOW TO BUILD ON OTHER WORLDS. >> BALLARD AND EVAN JENSEN 294 00:17:12,000 --> 00:17:14,433 >> WELCOME TO SPACELAB. THIS IS WHERE WE FIGURE OUT HOW TO BUILD ON OTHER WORLDS. >> BALLARD AND EVAN JENSEN 295 00:17:14,500 --> 00:17:18,000 EXPLAIN THE FUNDAMENTAL CHALLENGE. >> TO BRING AN OBJECT ROUGHLY THIS SIZE FROM EARTH TO THE MOON 296 00:17:18,000 --> 00:17:21,340 EXPLAIN THE FUNDAMENTAL CHALLENGE. >> TO BRING AN OBJECT ROUGHLY THIS SIZE FROM EARTH TO THE MOON 297 00:17:21,407 --> 00:17:24,000 SURFACE WOULD BE $1 MILLION. THINK -- >> WAIT. THAT SIZE WOULD BE $1 MILLION? 298 00:17:24,000 --> 00:17:26,945 SURFACE WOULD BE $1 MILLION. THINK -- >> WAIT. THAT SIZE WOULD BE $1 MILLION? 299 00:17:27,012 --> 00:17:30,000 >> CORRECT. WITH CURRENT TECHNOLOGY, THIS WOULD TAKE $1 MILLION TO DELIVER TO THE LUNAR SURFACE. 300 00:17:30,000 --> 00:17:32,785 >> CORRECT. WITH CURRENT TECHNOLOGY, THIS WOULD TAKE $1 MILLION TO DELIVER TO THE LUNAR SURFACE. 301 00:17:32,851 --> 00:17:36,000 THINK OF HOW MANY WE WOULD NEED. WE WILL NEVER HAVE A MOON BASE IF WE BRING EVERYTHING WITH US. IT WAS OKAY DURING THE APOLLO 302 00:17:36,000 --> 00:17:40,893 THINK OF HOW MANY WE WOULD NEED. WE WILL NEVER HAVE A MOON BASE IF WE BRING EVERYTHING WITH US. IT WAS OKAY DURING THE APOLLO 303 00:17:40,959 --> 00:17:42,000 PROGRAM TO BRING THINGS WITH US. WE WEREN'T STAYING. WE WERE COMING HOME. IF WE WANT TO STAY, WE HAVE TO 304 00:17:42,000 --> 00:17:45,431 PROGRAM TO BRING THINGS WITH US. WE WEREN'T STAYING. WE WERE COMING HOME. IF WE WANT TO STAY, WE HAVE TO 305 00:17:45,497 --> 00:17:48,000 LEARN TO LIVE OFF THE LAND. >> YOU HAVE TO LEARN TO BUILD IT THERE AND USE THE MATERIALS FROM THERE. 306 00:17:48,000 --> 00:17:49,835 LEARN TO LIVE OFF THE LAND. >> YOU HAVE TO LEARN TO BUILD IT THERE AND USE THE MATERIALS FROM THERE. 307 00:17:49,902 --> 00:17:54,000 >> THAT'S RIGHT. >> THAT'S NO EASY FEAT. IT MEANS USING WHAT'S CALLED LUNAR REGOLITH WHICH COVERS THE 308 00:17:54,000 --> 00:18:00,000 >> THAT'S RIGHT. >> THAT'S NO EASY FEAT. IT MEANS USING WHAT'S CALLED LUNAR REGOLITH WHICH COVERS THE 309 00:18:00,000 --> 00:18:01,680 >> THAT'S RIGHT. >> THAT'S NO EASY FEAT. IT MEANS USING WHAT'S CALLED LUNAR REGOLITH WHICH COVERS THE 310 00:18:01,747 --> 00:18:06,000 SURFACE RATHER THAN CONCRETE AND WATER. >> REGOLITH IS MADE UP OF ROCK THAT HAS BEEN PUMMELLED OVER 311 00:18:06,000 --> 00:18:11,290 SURFACE RATHER THAN CONCRETE AND WATER. >> REGOLITH IS MADE UP OF ROCK THAT HAS BEEN PUMMELLED OVER 312 00:18:11,356 --> 00:18:12,000 BILLIONS OF YEARS. >> IS IT LIKE SAND? >> IT'S FINER THAN SAND. >> ICON HAS A TUB FULL OF 313 00:18:12,000 --> 00:18:18,000 BILLIONS OF YEARS. >> IS IT LIKE SAND? >> IT'S FINER THAN SAND. >> ICON HAS A TUB FULL OF 314 00:18:18,000 --> 00:18:18,464 BILLIONS OF YEARS. >> IS IT LIKE SAND? >> IT'S FINER THAN SAND. >> ICON HAS A TUB FULL OF 315 00:18:18,530 --> 00:18:24,000 SIMULATED MOON REGOLITH. THEY INVENTED AND BUILD A ROBOTIC SYSTEM TO 3D PRINT WITH IT. 316 00:18:24,000 --> 00:18:25,671 SIMULATED MOON REGOLITH. THEY INVENTED AND BUILD A ROBOTIC SYSTEM TO 3D PRINT WITH IT. 317 00:18:25,737 --> 00:18:30,000 YOU WILL BUILD ALL THOSE ROADS AND BUILDINGS OUT OF THIS? >> THAT'S CORRECT. THE ROBOTS WILL. 318 00:18:30,000 --> 00:18:30,542 YOU WILL BUILD ALL THOSE ROADS AND BUILDINGS OUT OF THIS? >> THAT'S CORRECT. THE ROBOTS WILL. 319 00:18:30,609 --> 00:18:36,000 >> THIS IS ACTUALLY THE MISSION THAT WE WERE SCHEDULED TO FLY. >> AS HE POINTED OUT IN THIS RENDERING -- 320 00:18:36,000 --> 00:18:36,715 >> THIS IS ACTUALLY THE MISSION THAT WE WERE SCHEDULED TO FLY. >> AS HE POINTED OUT IN THIS RENDERING -- 321 00:18:36,782 --> 00:18:42,000 >> OUR ROBOTIC ARM WITH OUR LASER SYSTEM -- >> THEY HAVE CREATED A WHOLE NEW WAY TO 3D PRINT WITH LASERS. 322 00:18:42,000 --> 00:18:44,790 >> OUR ROBOTIC ARM WITH OUR LASER SYSTEM -- >> THEY HAVE CREATED A WHOLE NEW WAY TO 3D PRINT WITH LASERS. 323 00:18:44,857 --> 00:18:48,000 INSTEAD OF A NOZZLE SQUIRTING OUT SOFT CONCRETE, A HIGH INTENSITY LASER BEAM WILL MELT THE RE 324 00:18:48,000 --> 00:18:54,000 INSTEAD OF A NOZZLE SQUIRTING OUT SOFT CONCRETE, A HIGH INTENSITY LASER BEAM WILL MELT THE RE 325 00:18:54,000 --> 00:18:55,434 INSTEAD OF A NOZZLE SQUIRTING OUT SOFT CONCRETE, A HIGH INTENSITY LASER BEAM WILL MELT THE RE 326 00:18:55,501 --> 00:19:00,000 THE REGOLITH. THEY ARE RUNNING EXPERIMENTS NOW USING THE LASER TO CREATE A SMALL SAMPLE. 327 00:19:00,000 --> 00:19:03,976 THE REGOLITH. THEY ARE RUNNING EXPERIMENTS NOW USING THE LASER TO CREATE A SMALL SAMPLE. 328 00:19:04,042 --> 00:19:06,000 >> ONCE THE RED LIGHT IS ON, WE ARE HOT. LOTS OF POWER. HERE WE GO. 329 00:19:06,000 --> 00:19:09,348 >> ONCE THE RED LIGHT IS ON, WE ARE HOT. LOTS OF POWER. HERE WE GO. 330 00:19:09,414 --> 00:19:12,000 >> WE WATCHED ON MONITORS AS THE ARM GOT INTO POSITION. >> THERE'S THE LASER. >> THAT WHITE THING IS THE 331 00:19:12,000 --> 00:19:16,722 >> WE WATCHED ON MONITORS AS THE ARM GOT INTO POSITION. >> THERE'S THE LASER. >> THAT WHITE THING IS THE 332 00:19:16,788 --> 00:19:18,000 LASER. >> IT'S MELTING RIGHT NOW. IT'S GOING UP TO 1,500 DEGREES CELSIUS. 333 00:19:18,000 --> 00:19:21,460 LASER. >> IT'S MELTING RIGHT NOW. IT'S GOING UP TO 1,500 DEGREES CELSIUS. 334 00:19:21,527 --> 00:19:24,000 >> IT WILL COMPLETE ITS SECOND PASS. YOU CAN SEE IT EMERGING. SEE THE DARK OBJECT? 335 00:19:24,000 --> 00:19:26,431 >> IT WILL COMPLETE ITS SECOND PASS. YOU CAN SEE IT EMERGING. SEE THE DARK OBJECT? 336 00:19:26,498 --> 00:19:30,000 THAT'S THE OBJECT WE MADE WITH THE LASER. >> THEY CAN ADD MORE REGOLITH AND LASER AGAIN AND AGAIN TO 337 00:19:30,000 --> 00:19:34,873 THAT'S THE OBJECT WE MADE WITH THE LASER. >> THEY CAN ADD MORE REGOLITH AND LASER AGAIN AND AGAIN TO 338 00:19:34,940 --> 00:19:36,000 BUILD IN LAYERS TO GO AS HIGH AS THEY WANT, WHICH WILL BE DONE REMOTELY FROM EARTH. IT TAKES HOURS TO COOL. 339 00:19:36,000 --> 00:19:41,880 BUILD IN LAYERS TO GO AS HIGH AS THEY WANT, WHICH WILL BE DONE REMOTELY FROM EARTH. IT TAKES HOURS TO COOL. 340 00:19:41,947 --> 00:19:42,000 SO THEY SHOWED ME A SAMPLE THEY MADE DAYS EARLIER. THIS IS PRETTY DARN HARD. >> THAT'S OUR LANDING PAD. 341 00:19:42,000 --> 00:19:48,000 SO THEY SHOWED ME A SAMPLE THEY MADE DAYS EARLIER. THIS IS PRETTY DARN HARD. >> THAT'S OUR LANDING PAD. 342 00:19:48,000 --> 00:19:50,389 SO THEY SHOWED ME A SAMPLE THEY MADE DAYS EARLIER. THIS IS PRETTY DARN HARD. >> THAT'S OUR LANDING PAD. 343 00:19:50,455 --> 00:19:54,000 >> I'M HOLDING THE LANDING PAD. >> THAT'S RIGHT. >> IT'S PRETTY COOL. THAT' A SCIENTIFIC TERM. 344 00:19:54,000 --> 00:19:56,929 >> I'M HOLDING THE LANDING PAD. >> THAT'S RIGHT. >> IT'S PRETTY COOL. THAT' A SCIENTIFIC TERM. 345 00:19:56,995 --> 00:20:00,000 ICON SENDS THEM TO NASA WHERE THEY ARE BLASTED WITH A SPECIAL PLASMA TORCH. >> IT'S ABOUT 4,000 DEGREES. 346 00:20:00,000 --> 00:20:04,870 ICON SENDS THEM TO NASA WHERE THEY ARE BLASTED WITH A SPECIAL PLASMA TORCH. >> IT'S ABOUT 4,000 DEGREES. 347 00:20:04,937 --> 00:20:06,000 >> TO SEE IF THEY CAN TAKE THE HEAT A LANDING PAD WOULD HAVE TO WITHSTAND. THERE IT IS. 348 00:20:06,000 --> 00:20:12,000 >> TO SEE IF THEY CAN TAKE THE HEAT A LANDING PAD WOULD HAVE TO WITHSTAND. THERE IT IS. 349 00:20:12,000 --> 00:20:16,982 >> TO SEE IF THEY CAN TAKE THE HEAT A LANDING PAD WOULD HAVE TO WITHSTAND. THERE IT IS. 350 00:20:17,049 --> 00:20:18,000 THE TORCH IS SO BRIGHT, YOU HAVE TO WATCH ON A MONITOR. >> THAT WAS IT. >> A FEW MINUTES LATER, OUT IT 351 00:20:18,000 --> 00:20:23,622 THE TORCH IS SO BRIGHT, YOU HAVE TO WATCH ON A MONITOR. >> THAT WAS IT. >> A FEW MINUTES LATER, OUT IT 352 00:20:23,689 --> 00:20:24,000 CAME. IT'S JUST A LITTLE BIT WARM. >> LOOKS GOOD TO ME. I DON'T SEE ANY LOSS OF 353 00:20:24,000 --> 00:20:30,000 CAME. IT'S JUST A LITTLE BIT WARM. >> LOOKS GOOD TO ME. I DON'T SEE ANY LOSS OF 354 00:20:30,000 --> 00:20:33,332 CAME. IT'S JUST A LITTLE BIT WARM. >> LOOKS GOOD TO ME. I DON'T SEE ANY LOSS OF 355 00:20:33,398 --> 00:20:36,000 MATERIAL. I DON'T SEE ANY CRATERING. >> IT SURVIVED THE TEST? >> PASSED THE TEST WITH FLYING 356 00:20:36,000 --> 00:20:39,538 MATERIAL. I DON'T SEE ANY CRATERING. >> IT SURVIVED THE TEST? >> PASSED THE TEST WITH FLYING 357 00:20:39,605 --> 00:20:42,000 COLORS. >> THE NEXT TEST WILL BE OPERATING THE ENTIRE ROBOTIC ARM AND LASER. 358 00:20:42,000 --> 00:20:45,277 COLORS. >> THE NEXT TEST WILL BE OPERATING THE ENTIRE ROBOTIC ARM AND LASER. 359 00:20:45,344 --> 00:20:48,000 >> WE WILL PUT IN A LARGE-SCALE SUM SIM OOH SIMULANT BED. 360 00:20:48,000 --> 00:20:54,000 >> WE WILL PUT IN A LARGE-SCALE SUM SIM OOH SIMULANT BED. 361 00:20:54,000 --> 00:20:57,456 >> WE WILL PUT IN A LARGE-SCALE SUM SIM OOH SIMULANT BED. 362 00:20:57,522 --> 00:21:00,000 >> THIS IS LIKE -- >> BALLARD'S IDEA IS TO SEND MOBILE 3D PRINTERS TO THE MOON. >> THIS MOVES THE PRINTER 363 00:21:00,000 --> 00:21:05,897 >> THIS IS LIKE -- >> BALLARD'S IDEA IS TO SEND MOBILE 3D PRINTERS TO THE MOON. >> THIS MOVES THE PRINTER 364 00:21:05,964 --> 00:21:06,000 AROUND. >> WITH A LONGER ROBOTIC ARM STICKING OUT OF THE TOP TO PRINT WHATEVER IS NEEDED. 365 00:21:06,000 --> 00:21:12,000 AROUND. >> WITH A LONGER ROBOTIC ARM STICKING OUT OF THE TOP TO PRINT WHATEVER IS NEEDED. 366 00:21:12,000 --> 00:21:12,738 AROUND. >> WITH A LONGER ROBOTIC ARM STICKING OUT OF THE TOP TO PRINT WHATEVER IS NEEDED. 367 00:21:12,804 --> 00:21:18,000 >> THEY WOULD BUILD THE ROAD. >> IT WOULDN'T STOP THERE. >> WE CAN DO IT ON MARS. THE MOON IS HARDER. 368 00:21:18,000 --> 00:21:22,381 >> THEY WOULD BUILD THE ROAD. >> IT WOULDN'T STOP THERE. >> WE CAN DO IT ON MARS. THE MOON IS HARDER. 369 00:21:22,447 --> 00:21:24,000 MARS IS ALMOST IN EVERY WAY EASIER EXCEPT IT'S SO FAR AWAY. >> EASIER, THEY AGREE, BECAUSE FOR ONE THING, MARS DOESN'T HAVE 370 00:21:24,000 --> 00:21:29,921 MARS IS ALMOST IN EVERY WAY EASIER EXCEPT IT'S SO FAR AWAY. >> EASIER, THEY AGREE, BECAUSE FOR ONE THING, MARS DOESN'T HAVE 371 00:21:29,988 --> 00:21:30,000 EXTREME TEMPERATURE SWINGS. STILL IN MY MIND, IT'S SCIENCE FICTION. IN YOUR MINDS, IT'S ABSOLUTELY 372 00:21:30,000 --> 00:21:36,000 EXTREME TEMPERATURE SWINGS. STILL IN MY MIND, IT'S SCIENCE FICTION. IN YOUR MINDS, IT'S ABSOLUTELY 373 00:21:36,000 --> 00:21:37,963 EXTREME TEMPERATURE SWINGS. STILL IN MY MIND, IT'S SCIENCE FICTION. IN YOUR MINDS, IT'S ABSOLUTELY 374 00:21:38,030 --> 00:21:42,000 IN THE PALM OF YOUR HAND. IT'S GOING TO HAPPEN. >> WE CAN SEE THE STEPS AND TECHNOLOGY TO GET US THERE. 375 00:21:42,000 --> 00:21:44,703 IN THE PALM OF YOUR HAND. IT'S GOING TO HAPPEN. >> WE CAN SEE THE STEPS AND TECHNOLOGY TO GET US THERE. 376 00:21:44,770 --> 00:21:48,000 >> THAT'S THRILLING. >> IT'S EXCITING. >> QUALITY CAN'T GO BACKWARDS IN BLOCK 4. 377 00:21:48,000 --> 00:21:51,009 >> THAT'S THRILLING. >> IT'S EXCITING. >> QUALITY CAN'T GO BACKWARDS IN BLOCK 4. 378 00:21:51,076 --> 00:21:54,000 >> ICON SAYS TRYING TO 3D PRINT ON THE MOON AND MARS IS HELPING WITH THEIR WORK HERE ON EARTH. THEY ARE FORMULATING NEW MIXES 379 00:21:54,000 --> 00:21:59,818 >> ICON SAYS TRYING TO 3D PRINT ON THE MOON AND MARS IS HELPING WITH THEIR WORK HERE ON EARTH. THEY ARE FORMULATING NEW MIXES 380 00:21:59,885 --> 00:22:00,000 TO REDUCE THE CARBON FOOTPRINT OF THEIR CONCRETE. >> WE THINK WE WILL BE THERE BY END OF YEAR. 381 00:22:00,000 --> 00:22:06,000 TO REDUCE THE CARBON FOOTPRINT OF THEIR CONCRETE. >> WE THINK WE WILL BE THERE BY END OF YEAR. 382 00:22:06,000 --> 00:22:06,158 TO REDUCE THE CARBON FOOTPRINT OF THEIR CONCRETE. >> WE THINK WE WILL BE THERE BY END OF YEAR. 383 00:22:06,224 --> 00:22:12,000 >> THEY ARE TRYING OUT MORE RADICAL ARCHITECTURE. >> COMPLEX SHAPES AND GEOMETRY. >> PATTERNED WALLS. 384 00:22:12,000 --> 00:22:15,801 >> THEY ARE TRYING OUT MORE RADICAL ARCHITECTURE. >> COMPLEX SHAPES AND GEOMETRY. >> PATTERNED WALLS. 385 00:22:15,867 --> 00:22:18,000 >> THIS IS A THING THAT A CUSTOMER DID. >> DRAMATIC FLARES. AS WITH THIS PERFORMING ARTS 386 00:22:18,000 --> 00:22:22,674 >> THIS IS A THING THAT A CUSTOMER DID. >> DRAMATIC FLARES. AS WITH THIS PERFORMING ARTS 387 00:22:22,741 --> 00:22:24,000 PAVILION IN AUSTIN. AND THEY ARE WORKING ON TEST PRINTING DOMES. >> THERE'S SOMETHING ABOUT 388 00:22:24,000 --> 00:22:29,715 PAVILION IN AUSTIN. AND THEY ARE WORKING ON TEST PRINTING DOMES. >> THERE'S SOMETHING ABOUT 389 00:22:29,781 --> 00:22:30,000 ARCHES, DOMES THAT LIFT THE HUMAN SPIRIT. THEY ARE TOO EXPENSIVE. THEY ARE SO EXPENSIVE, USUALLY 390 00:22:30,000 --> 00:22:35,620 ARCHES, DOMES THAT LIFT THE HUMAN SPIRIT. THEY ARE TOO EXPENSIVE. THEY ARE SO EXPENSIVE, USUALLY 391 00:22:35,687 --> 00:22:36,000 ONLY SEE THEM IN CIVIC OR RELIGIOUS BUILDINGS. >> DOMES. >> I SEE THE FACE YOU ARE 392 00:22:36,000 --> 00:22:42,000 ONLY SEE THEM IN CIVIC OR RELIGIOUS BUILDINGS. >> DOMES. >> I SEE THE FACE YOU ARE 393 00:22:42,000 --> 00:22:42,928 ONLY SEE THEM IN CIVIC OR RELIGIOUS BUILDINGS. >> DOMES. >> I SEE THE FACE YOU ARE 394 00:22:42,994 --> 00:22:46,765 MAKING. EVERY HUMAN BEING LOVES BEING IN ONE OF THOSE. >> THEY ARE GORGEOUS. 395 00:22:46,832 --> 00:22:48,000 >> WHAT IF HAVING THOSE WAS AVAILABLE TO EVERYONE AND IT WAS FASTER AND CHEAPER THAN THE ROOFS WE HAVE TODAY? 396 00:22:48,000 --> 00:22:52,104 >> WHAT IF HAVING THOSE WAS AVAILABLE TO EVERYONE AND IT WAS FASTER AND CHEAPER THAN THE ROOFS WE HAVE TODAY? 397 00:22:52,170 --> 00:22:54,000 >> THIS YEAR, AS IN THE RENDERINGS, THEY WILL BE PRINTING ROUND HOTEL ROOMS IN TEXAS. 398 00:22:54,000 --> 00:23:00,000 >> THIS YEAR, AS IN THE RENDERINGS, THEY WILL BE PRINTING ROUND HOTEL ROOMS IN TEXAS. 399 00:23:00,000 --> 00:23:01,446 >> THIS YEAR, AS IN THE RENDERINGS, THEY WILL BE PRINTING ROUND HOTEL ROOMS IN TEXAS. 400 00:23:01,513 --> 00:23:06,000 THESE ARE ROOMS THAT YOU WOULD STAY IN? >> YES. IT CONTINUES INTO THE ROOM 401 00:23:06,000 --> 00:23:06,518 THESE ARE ROOMS THAT YOU WOULD STAY IN? >> YES. IT CONTINUES INTO THE ROOM 402 00:23:06,585 --> 00:23:12,000 ITSELF AND CREATING THE STAIRWAY ON A BED PLATFORM. >> THEY WILL BE PRINTING FUTURISTIC LOOKING DESIGNER 403 00:23:12,000 --> 00:23:12,924 ITSELF AND CREATING THE STAIRWAY ON A BED PLATFORM. >> THEY WILL BE PRINTING FUTURISTIC LOOKING DESIGNER 404 00:23:12,991 --> 00:23:16,962 HOMES. >> A BEDROOM ON THAT END WITH A SHOWER. A BEDROOM HERE. 405 00:23:17,028 --> 00:23:18,000 HERE IS RENDERINGS OF THE INTERIOR. IT GETS YOU GOING. DOESN'T IT? 406 00:23:18,000 --> 00:23:21,666 HERE IS RENDERINGS OF THE INTERIOR. IT GETS YOU GOING. DOESN'T IT? 407 00:23:21,733 --> 00:23:24,000 >> DO YOU THINK IT WILL EVER BE POSSIBLE TO PRINT OUT A 20-STORY APARTMENT BUILDING OR EVEN A SKYSCRAPER? 408 00:23:24,000 --> 00:23:30,000 >> DO YOU THINK IT WILL EVER BE POSSIBLE TO PRINT OUT A 20-STORY APARTMENT BUILDING OR EVEN A SKYSCRAPER? 409 00:23:30,000 --> 00:23:30,175 >> DO YOU THINK IT WILL EVER BE POSSIBLE TO PRINT OUT A 20-STORY APARTMENT BUILDING OR EVEN A SKYSCRAPER? 410 00:23:30,242 --> 00:23:36,000 >> YES. IN FACT, THE ARCHITECTURE FOR OUR NEXT GENERATION OF PRINTER WILL BE LIKE MORE OR LESS 411 00:23:36,000 --> 00:23:38,016 >> YES. IN FACT, THE ARCHITECTURE FOR OUR NEXT GENERATION OF PRINTER WILL BE LIKE MORE OR LESS 412 00:23:38,083 --> 00:23:42,000 PREPARED FOR THAT. >> LADIES AND GENTLEMEN, I WOULD LIKE TO FORMALLY INTRODUCE YOU TO THE NEXT GENERATION PRINT 413 00:23:42,000 --> 00:23:44,723 PREPARED FOR THAT. >> LADIES AND GENTLEMEN, I WOULD LIKE TO FORMALLY INTRODUCE YOU TO THE NEXT GENERATION PRINT 414 00:23:44,790 --> 00:23:48,000 SYSTEM, PHOENIX. >> JUST THIS SPRING, AT AUSTIN'S SOUTH BY SOUTHWEST FESTIVAL, BALLARD UNVEILED THE NEXT 415 00:23:48,000 --> 00:23:52,030 SYSTEM, PHOENIX. >> JUST THIS SPRING, AT AUSTIN'S SOUTH BY SOUTHWEST FESTIVAL, BALLARD UNVEILED THE NEXT 416 00:23:52,097 --> 00:23:54,000 GENERATION OF PRINTER CALLED PHOENIX. >> BY A MILE, THIS IS THE MOST SOPHISTICATED AND CHALLENGING 417 00:23:54,000 --> 00:23:58,236 GENERATION OF PRINTER CALLED PHOENIX. >> BY A MILE, THIS IS THE MOST SOPHISTICATED AND CHALLENGING 418 00:23:58,303 --> 00:24:00,000 ENGINEERING WE HAVE EVER ATTEMPTED. THIS IS LIKE OUR VERSION OF LANDING ROCKETS. 419 00:24:00,000 --> 00:24:02,140 ENGINEERING WE HAVE EVER ATTEMPTED. THIS IS LIKE OUR VERSION OF LANDING ROCKETS. 420 00:24:02,207 --> 00:24:06,000 >> IT'S A ROBOT WITH A SINGLE 75-FOOT LONG ARM SIMILAR IN DESIGN TO THE ONE ICON IS DEVELOPING FOR THE MOON, WHICH 421 00:24:06,000 --> 00:24:10,916 >> IT'S A ROBOT WITH A SINGLE 75-FOOT LONG ARM SIMILAR IN DESIGN TO THE ONE ICON IS DEVELOPING FOR THE MOON, WHICH 422 00:24:10,982 --> 00:24:12,000 THEY SAY ENABLES PRINTING MULTIPLE STORY BUILDINGS, ALLOWS FOR GREATER FLEXIBILITY, AND CAN PRINT FASTER THAN THEIR CURRENT 423 00:24:12,000 --> 00:24:18,000 THEY SAY ENABLES PRINTING MULTIPLE STORY BUILDINGS, ALLOWS FOR GREATER FLEXIBILITY, AND CAN PRINT FASTER THAN THEIR CURRENT 424 00:24:18,000 --> 00:24:20,158 THEY SAY ENABLES PRINTING MULTIPLE STORY BUILDINGS, ALLOWS FOR GREATER FLEXIBILITY, AND CAN PRINT FASTER THAN THEIR CURRENT 425 00:24:20,225 --> 00:24:24,000 PRINTERS, WHICH WILL STILL BE BUSY. IN ANOTHER PARTNERSHIP WITH GRAHAM, ICON IS BREAKING GROUND 426 00:24:24,000 --> 00:24:26,998 PRINTERS, WHICH WILL STILL BE BUSY. IN ANOTHER PARTNERSHIP WITH GRAHAM, ICON IS BREAKING GROUND 427 00:24:27,065 --> 00:24:30,000 ON A 100 MORE 3D PRINTED HOMES FOR THE FORMERLY HOMELESS AT COMMUNITY FIRST VILLAGE. A LOT OF WHAT HE IS DOING HERE 428 00:24:30,000 --> 00:24:35,874 ON A 100 MORE 3D PRINTED HOMES FOR THE FORMERLY HOMELESS AT COMMUNITY FIRST VILLAGE. A LOT OF WHAT HE IS DOING HERE 429 00:24:35,941 --> 00:24:36,000 IS GOOD FOR PR. HOW MUCH IS GENUINE AND HOW MUCH IS JUST DOING THINGS TO PROMOTE HIS BUSINESS? 430 00:24:36,000 --> 00:24:42,000 IS GOOD FOR PR. HOW MUCH IS GENUINE AND HOW MUCH IS JUST DOING THINGS TO PROMOTE HIS BUSINESS? 431 00:24:42,000 --> 00:24:45,584 IS GOOD FOR PR. HOW MUCH IS GENUINE AND HOW MUCH IS JUST DOING THINGS TO PROMOTE HIS BUSINESS? 432 00:24:45,650 --> 00:24:48,000 >> WELL, I THINK 100% IS GENUINE. I THINK 100% IS PROMOTING HIS BUSINESS. 433 00:24:48,000 --> 00:24:52,591 >> WELL, I THINK 100% IS GENUINE. I THINK 100% IS PROMOTING HIS BUSINESS. 434 00:24:52,657 --> 00:24:54,000 HE BELIEVES THAT THEY ARE ON THE CUSP OF TECHNOLOGY THAT'S GOING TO HAVE A DRAMATIC IMPACT ON THE WORLD. 435 00:24:54,000 --> 00:24:59,598 HE BELIEVES THAT THEY ARE ON THE CUSP OF TECHNOLOGY THAT'S GOING TO HAVE A DRAMATIC IMPACT ON THE WORLD. 436 00:24:59,664 --> 00:25:00,000 OTHERWISE, I DON'T THINK HE WOULD BE DOING IT. >> YOU HAVE TO REMEMBER, THERE'S A TREMENDOUS AMOUNT OF HUMAN 437 00:25:00,000 --> 00:25:06,000 OTHERWISE, I DON'T THINK HE WOULD BE DOING IT. >> YOU HAVE TO REMEMBER, THERE'S A TREMENDOUS AMOUNT OF HUMAN 438 00:25:06,000 --> 00:25:07,739 OTHERWISE, I DON'T THINK HE WOULD BE DOING IT. >> YOU HAVE TO REMEMBER, THERE'S A TREMENDOUS AMOUNT OF HUMAN 439 00:25:07,806 --> 00:25:12,000 SUFFERING EVERY YEAR AND FIVE YEAR AS AND DECADE WHERE WE ARE NOT GETTING SHELTERS RIGHT. THERE ARE OVER A BILLION 440 00:25:12,000 --> 00:25:14,813 SUFFERING EVERY YEAR AND FIVE YEAR AS AND DECADE WHERE WE ARE NOT GETTING SHELTERS RIGHT. THERE ARE OVER A BILLION 441 00:25:14,880 --> 00:25:18,000 UNDERSHELTERED PEOPLE. IF WE BUILD A MILLION HOMES A YEAR, IT WOULD TAKE 1,000 YEARS. THAT IS 950 YEARS TOO LONG. 442 00:25:18,000 --> 00:25:24,000 UNDERSHELTERED PEOPLE. IF WE BUILD A MILLION HOMES A YEAR, IT WOULD TAKE 1,000 YEARS. THAT IS 950 YEARS TOO LONG. 443 00:25:24,000 --> 00:25:24,022 UNDERSHELTERED PEOPLE. IF WE BUILD A MILLION HOMES A YEAR, IT WOULD TAKE 1,000 YEARS. THAT IS 950 YEARS TOO LONG. 444 00:25:24,089 --> 00:25:30,000 THIS IS ONE OF THE MOST FOUNDATIONAL THINGS THAT WE HAVE TO GET RIGHT OR THE FUTURE CANNOT BE EXCITING. 445 00:25:30,000 --> 00:25:30,595 THIS IS ONE OF THE MOST FOUNDATIONAL THINGS THAT WE HAVE TO GET RIGHT OR THE FUTURE CANNOT BE EXCITING. 446 00:25:30,662 --> 00:25:36,000 FORGET ALL THE OTHER STUFF. YOU MIGHT GET FLYING CARS. THE FUTURE CANNOT BE EXCITING IF WE DON'T GET HUMAN SHELTER 447 00:25:36,000 --> 00:25:39,938 FORGET ALL THE OTHER STUFF. YOU MIGHT GET FLYING CARS. THE FUTURE CANNOT BE EXCITING IF WE DON'T GET HUMAN SHELTER 448 00:25:40,005 --> 00:25:42,000 RIGHT. >> WE ARE LIVING AT A TIME WHERE A LOT OF CEOs HAVE BEEN CAUGHT OVERPROMISING, HYPING, THINKING 449 00:25:42,000 --> 00:25:47,712 RIGHT. >> WE ARE LIVING AT A TIME WHERE A LOT OF CEOs HAVE BEEN CAUGHT OVERPROMISING, HYPING, THINKING 450 00:25:47,779 --> 00:25:48,000 OF THERANOS -- >> YOU ARE RIGHT. IT'S A TOUGHER THING THAT YOU KNOW. 451 00:25:48,000 --> 00:25:52,550 OF THERANOS -- >> YOU ARE RIGHT. IT'S A TOUGHER THING THAT YOU KNOW. 452 00:25:52,617 --> 00:25:54,000 PART OF THE JOB IS TO GET YOUR INVESTORS, GET YOUR TEAM AND IN OUR CASE THE WORLD TO BELIEVE THE THINGS YOU ARE SAYING. 453 00:25:54,000 --> 00:26:00,000 PART OF THE JOB IS TO GET YOUR INVESTORS, GET YOUR TEAM AND IN OUR CASE THE WORLD TO BELIEVE THE THINGS YOU ARE SAYING. 454 00:26:00,000 --> 00:26:02,394 PART OF THE JOB IS TO GET YOUR INVESTORS, GET YOUR TEAM AND IN OUR CASE THE WORLD TO BELIEVE THE THINGS YOU ARE SAYING. 455 00:26:02,460 --> 00:26:06,000 EXCEPT, THE THINGS YOU ARE SAYING DON'T EXIST YET. YOU NEED TO GET THEM TO BELIEVE. IT'S HARD TO KNOW, EVEN IN THIS 456 00:26:06,000 --> 00:26:11,069 EXCEPT, THE THINGS YOU ARE SAYING DON'T EXIST YET. YOU NEED TO GET THEM TO BELIEVE. IT'S HARD TO KNOW, EVEN IN THIS 457 00:26:11,136 --> 00:26:12,000 INTERVIEW, I HAVEN'T TOLD YOU ALL THE THINGS I BELIEVE WE'RE GOING TO DO. I'M LIKE MEASURING MYSELF. 458 00:26:12,000 --> 00:26:15,640 INTERVIEW, I HAVEN'T TOLD YOU ALL THE THINGS I BELIEVE WE'RE GOING TO DO. I'M LIKE MEASURING MYSELF. 459 00:26:15,707 --> 00:26:18,000 >> GIVE US ONE EXAMPLE. SOMETHING WILD. >> I MEAN, IN THE FUTURE, I THINK MOST BUILDINGS WILL BE 460 00:26:18,000 --> 00:26:24,000 >> GIVE US ONE EXAMPLE. SOMETHING WILD. >> I MEAN, IN THE FUTURE, I THINK MOST BUILDINGS WILL BE 461 00:26:24,000 --> 00:26:26,418 >> GIVE US ONE EXAMPLE. SOMETHING WILD. >> I MEAN, IN THE FUTURE, I THINK MOST BUILDINGS WILL BE 462 00:26:26,484 --> 00:26:30,000 DESIGNED BY AI, MOST PRODUCTS WILL BE RUN BY SOFTWARE, AND ALMOST EVERYTHING WILL BE BUILT BY ROBOTS. 463 00:26:30,000 --> 00:26:32,290 DESIGNED BY AI, MOST PRODUCTS WILL BE RUN BY SOFTWARE, AND ALMOST EVERYTHING WILL BE BUILT BY ROBOTS. 464 00:26:32,357 --> 00:26:36,000 I DON'T THINK THAT'S THAT FAR AWAY. >> MY AGE, FIND THAT VERY DEPRESSING. 465 00:26:36,000 --> 00:26:37,529 I DON'T THINK THAT'S THAT FAR AWAY. >> MY AGE, FIND THAT VERY DEPRESSING. 466 00:26:37,595 --> 00:26:42,000 I'M SURE YOUNG PEOPLE DON'T. >> THAT WORLD, HOUSING WILL BE MORE ABUNDANT, MORE AFFORDABLE, MORE BEAUTIFUL. 467 00:26:42,000 --> 00:26:44,903 I'M SURE YOUNG PEOPLE DON'T. >> THAT WORLD, HOUSING WILL BE MORE ABUNDANT, MORE AFFORDABLE, MORE BEAUTIFUL. 468 00:26:44,970 --> 00:26:48,000 IT WILL MAKE THIS VERSION OF HOUSING LOOK DEPRESSING BY EXAMPLE. >> YOU KNOW THAT EXPRESSION, IF 469 00:26:48,000 --> 00:26:49,874 IT WILL MAKE THIS VERSION OF HOUSING LOOK DEPRESSING BY EXAMPLE. >> YOU KNOW THAT EXPRESSION, IF 470 00:26:49,941 --> 00:26:54,000 IT SEEMS TOO GOOD TO BE TRUE, IT IS? >> OR -- I DO KNOW THAT EXPRESSION. 471 00:26:54,000 --> 00:26:57,749 IT SEEMS TOO GOOD TO BE TRUE, IT IS? >> OR -- I DO KNOW THAT EXPRESSION. 472 00:26:57,816 --> 00:27:00,000 CARS AND AIRPORTS AND MOON LANDINGS SEEMED TO GOOD TO BE TRUE. MAYBE THE ONLY PROOF IS I'M 473 00:27:00,000 --> 00:27:03,588 CARS AND AIRPORTS AND MOON LANDINGS SEEMED TO GOOD TO BE TRUE. MAYBE THE ONLY PROOF IS I'M 474 00:27:03,655 --> 00:27:06,000 BETTING MY LIFE ON IT. I HAVE THIS ONE PRECIOUS LIFE TO LIVE. I'M USING IT TO DO THIS. 475 00:27:06,000 --> 00:27:07,826 BETTING MY LIFE ON IT. I HAVE THIS ONE PRECIOUS LIFE TO LIVE. I'M USING IT TO DO THIS. 476 00:27:07,892 --> 00:27:12,000 IF I COULD THINK OF A BETTER WAY, I WOULD DO THAT INSTEAD. I WOULD GO FISHING. >> YOU LIKE FISHING? 477 00:27:12,000 --> 00:27:12,130 IF I COULD THINK OF A BETTER WAY, I WOULD DO THAT INSTEAD. I WOULD GO FISHING. >> YOU LIKE FISHING? 478 00:27:12,197 --> 00:27:18,000 >> I LOVE FISHING. [ TICKING ] [ TICKING ] >>> NOW, DR. JON LAPOOK, ON 479 00:27:18,000 --> 00:27:24,000 >> I LOVE FISHING. [ TICKING ] [ TICKING ] >>> NOW, DR. JON LAPOOK, ON 480 00:27:24,000 --> 00:27:30,000 >> I LOVE FISHING. [ TICKING ] [ TICKING ] >>> NOW, DR. JON LAPOOK, ON 481 00:27:30,000 --> 00:27:36,000 >> I LOVE FISHING. [ TICKING ] [ TICKING ] >>> NOW, DR. JON LAPOOK, ON 482 00:27:36,000 --> 00:27:37,355 >> I LOVE FISHING. [ TICKING ] [ TICKING ] >>> NOW, DR. JON LAPOOK, ON 483 00:27:37,422 --> 00:27:42,000 ASSIGNMENT FOR "60 MINUTES REQUEST THMINUTES ." >> AS WE FIRST REPORTED THIS PAST SPRING, AI IS PROBING THAT 484 00:27:42,000 --> 00:27:48,000 ASSIGNMENT FOR "60 MINUTES REQUEST THMINUTES ." >> AS WE FIRST REPORTED THIS PAST SPRING, AI IS PROBING THAT 485 00:27:48,000 --> 00:27:51,636 ASSIGNMENT FOR "60 MINUTES REQUEST THMINUTES ." >> AS WE FIRST REPORTED THIS PAST SPRING, AI IS PROBING THAT 486 00:27:51,703 --> 00:27:54,000 MOST HUMAN OF PLACES, OUR SEE PSYCHES. YOU AND A CHATBOT AVAILABLE 24/7 ON YOUR SMARTPHONE. 487 00:27:54,000 --> 00:28:00,000 MOST HUMAN OF PLACES, OUR SEE PSYCHES. YOU AND A CHATBOT AVAILABLE 24/7 ON YOUR SMARTPHONE. 488 00:28:00,000 --> 00:28:02,580 MOST HUMAN OF PLACES, OUR SEE PSYCHES. YOU AND A CHATBOT AVAILABLE 24/7 ON YOUR SMARTPHONE. 489 00:28:02,647 --> 00:28:06,000 THERE'S A SHORTAGE OF HUMAN THERAPISTS AND A GROWING NUMBER OF POTENTIAL PATIENTS. CHATBOTS ARE DESIGNED TO HELP 490 00:28:06,000 --> 00:28:12,000 THERE'S A SHORTAGE OF HUMAN THERAPISTS AND A GROWING NUMBER OF POTENTIAL PATIENTS. CHATBOTS ARE DESIGNED TO HELP 491 00:28:12,000 --> 00:28:12,490 THERE'S A SHORTAGE OF HUMAN THERAPISTS AND A GROWING NUMBER OF POTENTIAL PATIENTS. CHATBOTS ARE DESIGNED TO HELP 492 00:28:12,557 --> 00:28:17,629 FILL THAT GAP BY GIVING THEY'RTHEY RE THERAPISTS A NEW TOOL. LIKE HUMAN THERAPISTS NOT ALL 493 00:28:17,695 --> 00:28:18,000 CHAT BBOTS ARE EQUAL. SOME CAN HELP HEAL. SOME CAN BE INEFFECTIVE OR WORSE. 494 00:28:18,000 --> 00:28:22,567 CHAT BBOTS ARE EQUAL. SOME CAN HELP HEAL. SOME CAN BE INEFFECTIVE OR WORSE. 495 00:28:22,634 --> 00:28:24,000 ONE PIONEER IN THE FIELD WHO HAS HAD SUCCESS IS ALISON DAR HAVE I. >> 496 00:28:24,000 --> 00:28:30,000 ONE PIONEER IN THE FIELD WHO HAS HAD SUCCESS IS ALISON DAR HAVE I. >> 497 00:28:30,000 --> 00:28:36,000 ONE PIONEER IN THE FIELD WHO HAS HAD SUCCESS IS ALISON DAR HAVE I. >> 498 00:28:36,000 --> 00:28:42,000 ONE PIONEER IN THE FIELD WHO HAS HAD SUCCESS IS ALISON DAR HAVE I. >> 499 00:28:42,000 --> 00:28:45,957 ONE PIONEER IN THE FIELD WHO HAS HAD SUCCESS IS ALISON DAR HAVE I. >> 500 00:28:46,024 --> 00:28:48,000 >>. >> IT'S NOT ABOUT HOW CAN WE GET PEOPLE IN THE CLINIC. IT'S HOW CAN WE GET TOOLS OUT OF 501 00:28:48,000 --> 00:28:50,361 >>. >> IT'S NOT ABOUT HOW CAN WE GET PEOPLE IN THE CLINIC. IT'S HOW CAN WE GET TOOLS OUT OF 502 00:28:50,428 --> 00:28:54,000 THE CLINIC AND INTO THE HANDS OF PEOPLE. >> ALISON DARCY DECIDED TO USING HER BACKGROUND TO BUILD 503 00:28:54,000 --> 00:29:00,000 THE CLINIC AND INTO THE HANDS OF PEOPLE. >> ALISON DARCY DECIDED TO USING HER BACKGROUND TO BUILD 504 00:29:00,000 --> 00:29:00,772 THE CLINIC AND INTO THE HANDS OF PEOPLE. >> ALISON DARCY DECIDED TO USING HER BACKGROUND TO BUILD 505 00:29:00,839 --> 00:29:06,000 SOMETHING SHE BELIEVES CAN HELP PEOPLE IN NEED, A MENTAL HEALTH CHATBOT SHE NAMED WOEBOT. >> 506 00:29:06,000 --> 00:29:10,315 SOMETHING SHE BELIEVES CAN HELP PEOPLE IN NEED, A MENTAL HEALTH CHATBOT SHE NAMED WOEBOT. >> 507 00:29:10,381 --> 00:29:12,000 IT'S AN APP ON YOUR PHONE, A PACKET THERAPIST USES THE TECH TO HELP DEPRESSION, AFRNXIETY A ADDICTION AND DO IT ON THE RUN. 508 00:29:12,000 --> 00:29:18,000 IT'S AN APP ON YOUR PHONE, A PACKET THERAPIST USES THE TECH TO HELP DEPRESSION, AFRNXIETY A ADDICTION AND DO IT ON THE RUN. 509 00:29:18,000 --> 00:29:24,000 IT'S AN APP ON YOUR PHONE, A PACKET THERAPIST USES THE TECH TO HELP DEPRESSION, AFRNXIETY A ADDICTION AND DO IT ON THE RUN. 510 00:29:24,000 --> 00:29:24,929 IT'S AN APP ON YOUR PHONE, A PACKET THERAPIST USES THE TECH TO HELP DEPRESSION, AFRNXIETY A ADDICTION AND DO IT ON THE RUN. 511 00:29:24,996 --> 00:29:30,000 PEOPLE THINK, REALLY? COME ON. >> WELL, I THINK IT'S SO INTERESTING THAT OUR FIELD 512 00:29:30,000 --> 00:29:32,804 PEOPLE THINK, REALLY? COME ON. >> WELL, I THINK IT'S SO INTERESTING THAT OUR FIELD 513 00:29:32,871 --> 00:29:36,000 HASN'T HAD A GREAT DEAL OF INNOVATION SINCE THE BASIC ARCHITECTURE WAS LAID DOWN BY FREUD. 514 00:29:36,000 --> 00:29:42,000 HASN'T HAD A GREAT DEAL OF INNOVATION SINCE THE BASIC ARCHITECTURE WAS LAID DOWN BY FREUD. 515 00:29:42,000 --> 00:29:42,080 HASN'T HAD A GREAT DEAL OF INNOVATION SINCE THE BASIC ARCHITECTURE WAS LAID DOWN BY FREUD. 516 00:29:42,147 --> 00:29:46,818 THAT'S THE IDEA OF TWO PEOPLE IN A ROOM. THAT'S NOT HOW WE LIVE OUR LIVES TODAY. 517 00:29:46,885 --> 00:29:48,000 WE HAVE TO MODERNIZE PSYCHOTHERAPY. >> HE WOWOEBOT IS TRAINED ON SPECIALIZED DATA TO HELP IT 518 00:29:48,000 --> 00:29:54,000 WE HAVE TO MODERNIZE PSYCHOTHERAPY. >> HE WOWOEBOT IS TRAINED ON SPECIALIZED DATA TO HELP IT 519 00:29:54,000 --> 00:29:57,028 WE HAVE TO MODERNIZE PSYCHOTHERAPY. >> HE WOWOEBOT IS TRAINED ON SPECIALIZED DATA TO HELP IT 520 00:29:57,095 --> 00:30:00,000 RECOGNIZE WORDS, PHRASE AND EMOJIS. MIMICKING A TYPE OF IN-PERSON TALK THERAPY CALLED COGNITIVE 521 00:30:00,000 --> 00:30:04,702 RECOGNIZE WORDS, PHRASE AND EMOJIS. MIMICKING A TYPE OF IN-PERSON TALK THERAPY CALLED COGNITIVE 522 00:30:04,769 --> 00:30:06,000 BEHAVIORAL THERAPY. >> IT'S HARD TO FIND A CBT PRACTITIONER. ALSO, IF YOU ARE ACTUALLY NOT BY 523 00:30:06,000 --> 00:30:12,000 BEHAVIORAL THERAPY. >> IT'S HARD TO FIND A CBT PRACTITIONER. ALSO, IF YOU ARE ACTUALLY NOT BY 524 00:30:12,000 --> 00:30:13,811 BEHAVIORAL THERAPY. >> IT'S HARD TO FIND A CBT PRACTITIONER. ALSO, IF YOU ARE ACTUALLY NOT BY 525 00:30:13,878 --> 00:30:18,000 THE SIDE OF YOUR PATIENT WHEN THEY ARE STRUGGLING TO GET OUT OF BED IN THE MORNING, OR AT 2:00 A.M. WHEN THEY CAN'T SLEEP 526 00:30:18,000 --> 00:30:22,387 THE SIDE OF YOUR PATIENT WHEN THEY ARE STRUGGLING TO GET OUT OF BED IN THE MORNING, OR AT 2:00 A.M. WHEN THEY CAN'T SLEEP 527 00:30:22,453 --> 00:30:24,000 AND FEELING PANICKED, THEN WE ARE LEAVING CLINICAL VALUE ON THE TABLE. >> FOR PEOPLE WHO WANT TO GO TO 528 00:30:24,000 --> 00:30:29,394 AND FEELING PANICKED, THEN WE ARE LEAVING CLINICAL VALUE ON THE TABLE. >> FOR PEOPLE WHO WANT TO GO TO 529 00:30:29,460 --> 00:30:30,000 A THERAPIST, THERE ARE BARRIERS, RIGHT? >> SADLY, THE BIGGEST IS STIGMA. THERE'S INSURANCE, THERE'S COST. 530 00:30:30,000 --> 00:30:36,000 A THERAPIST, THERE ARE BARRIERS, RIGHT? >> SADLY, THE BIGGEST IS STIGMA. THERE'S INSURANCE, THERE'S COST. 531 00:30:36,000 --> 00:30:39,137 A THERAPIST, THERE ARE BARRIERS, RIGHT? >> SADLY, THE BIGGEST IS STIGMA. THERE'S INSURANCE, THERE'S COST. 532 00:30:39,204 --> 00:30:42,000 THERE'S WAIT LISTS. THIS PROBLEM HAS ONLY GROWN SIGNIFICANTLY SINCE THE PANDEMIC. 533 00:30:42,000 --> 00:30:43,575 THERE'S WAIT LISTS. THIS PROBLEM HAS ONLY GROWN SIGNIFICANTLY SINCE THE PANDEMIC. 534 00:30:43,641 --> 00:30:48,000 IT DOESN'T APPEAR TO BE GOING AWAY. >> SINCE WOEBOT WENT LIVE IN 2017, THE COMPANY REPORTS 1.5 535 00:30:48,000 --> 00:30:50,848 IT DOESN'T APPEAR TO BE GOING AWAY. >> SINCE WOEBOT WENT LIVE IN 2017, THE COMPANY REPORTS 1.5 536 00:30:50,915 --> 00:30:54,000 MILLION PEOPLE HAVE USED IT. WHICH YOU CAN NOW ONLY DO WITH AN EMPLOYER BENEFIT PLAN OR ACCESS FROM A HEALTH 537 00:30:54,000 --> 00:30:55,753 MILLION PEOPLE HAVE USED IT. WHICH YOU CAN NOW ONLY DO WITH AN EMPLOYER BENEFIT PLAN OR ACCESS FROM A HEALTH 538 00:30:55,820 --> 00:31:00,000 PROFESSIONAL. AT VIRTUA HEALTH, A HEALTH CARE COMPANY IN NEW JERSEY, PATIENTS CAN USE IT FREE OF CHARGE. 539 00:31:00,000 --> 00:31:04,229 PROFESSIONAL. AT VIRTUA HEALTH, A HEALTH CARE COMPANY IN NEW JERSEY, PATIENTS CAN USE IT FREE OF CHARGE. 540 00:31:04,295 --> 00:31:06,000 >> YOU WILL BE ABLE TO CONVERSE WITH IT LIKE YOU WOULD WITH A HUMAN BEING. >> WE DOWNLOADED IT, ENTERED A 541 00:31:06,000 --> 00:31:11,603 >> YOU WILL BE ABLE TO CONVERSE WITH IT LIKE YOU WOULD WITH A HUMAN BEING. >> WE DOWNLOADED IT, ENTERED A 542 00:31:11,669 --> 00:31:12,000 UNIQUE CODE THAT CAN ONLY BE PROVIDED BY THE COMPANY, AND TRIED IT OUT. >> WE FOUND FOR PEOPLE TO 543 00:31:12,000 --> 00:31:17,875 UNIQUE CODE THAT CAN ONLY BE PROVIDED BY THE COMPANY, AND TRIED IT OUT. >> WE FOUND FOR PEOPLE TO 544 00:31:17,942 --> 00:31:18,000 CONNECT WITH THEIR MOOD, WE OFFER EMOJIS WHICH ALLOWS PEOPLE TO CONNECT IN A NON-VERBAL WAY. >> I POSED AT SOMEONE DEPRESSED. 545 00:31:18,000 --> 00:31:24,000 CONNECT WITH THEIR MOOD, WE OFFER EMOJIS WHICH ALLOWS PEOPLE TO CONNECT IN A NON-VERBAL WAY. >> I POSED AT SOMEONE DEPRESSED. 546 00:31:24,000 --> 00:31:27,418 CONNECT WITH THEIR MOOD, WE OFFER EMOJIS WHICH ALLOWS PEOPLE TO CONNECT IN A NON-VERBAL WAY. >> I POSED AT SOMEONE DEPRESSED. 547 00:31:27,485 --> 00:31:30,000 AFTER SEVERAL PROMPTS, WOE DID THE THE THEWOEBOLT WANTED TO KNOW WHY I 548 00:31:30,000 --> 00:31:36,000 AFTER SEVERAL PROMPTS, WOE DID THE THE THEWOEBOLT WANTED TO KNOW WHY I 549 00:31:36,000 --> 00:31:36,661 AFTER SEVERAL PROMPTS, WOE DID THE THE THEWOEBOLT WANTED TO KNOW WHY I 550 00:31:36,728 --> 00:31:40,098 WAS UPSET. >> IMAGINE WHAT YOUR NEGATIVE EMOTIONS WOULD SAY IF THEY HAD A VOICE. 551 00:31:40,164 --> 00:31:42,000 CAN YOU DO THAT? WRITE ONE OF THE NEGATIVE THOUGHTS HERE. >> I WILL JUMP THAT BRIDGE WHEN 552 00:31:42,000 --> 00:31:48,000 CAN YOU DO THAT? WRITE ONE OF THE NEGATIVE THOUGHTS HERE. >> I WILL JUMP THAT BRIDGE WHEN 553 00:31:48,000 --> 00:31:54,000 CAN YOU DO THAT? WRITE ONE OF THE NEGATIVE THOUGHTS HERE. >> I WILL JUMP THAT BRIDGE WHEN 554 00:31:54,000 --> 00:31:58,116 CAN YOU DO THAT? WRITE ONE OF THE NEGATIVE THOUGHTS HERE. >> I WILL JUMP THAT BRIDGE WHEN 555 00:31:58,182 --> 00:32:00,000 I COME TO IT. THE CHATBOT DETECTED SOMETHING MIGHT BE WRONG. I'M HEARING YOU SAY I CAN'T DO 556 00:32:00,000 --> 00:32:01,819 I COME TO IT. THE CHATBOT DETECTED SOMETHING MIGHT BE WRONG. I'M HEARING YOU SAY I CAN'T DO 557 00:32:01,886 --> 00:32:06,000 ANYTHING ABOUT IT, I WILL JUMP THAT BRIDGE. I THINK YOU MIGHT NEED MORE SUPPORT. 558 00:32:06,000 --> 00:32:06,624 ANYTHING ABOUT IT, I WILL JUMP THAT BRIDGE. I THINK YOU MIGHT NEED MORE SUPPORT. 559 00:32:06,691 --> 00:32:12,000 I CAN OFFER YOU. WOULD YOU LIKE TO LOOK AT HELPLINES? >> IT'S NOT OUR JOB TO SAY YOU 560 00:32:12,000 --> 00:32:14,732 I CAN OFFER YOU. WOULD YOU LIKE TO LOOK AT HELPLINES? >> IT'S NOT OUR JOB TO SAY YOU 561 00:32:14,799 --> 00:32:18,000 ARE IN CRISIS OR NOT. AI CAN'T REALLY DO THAT IN THIS CONTEXT VERY WELL YET. WHAT IT CAUGHT, THERE'S 562 00:32:18,000 --> 00:32:22,707 ARE IN CRISIS OR NOT. AI CAN'T REALLY DO THAT IN THIS CONTEXT VERY WELL YET. WHAT IT CAUGHT, THERE'S 563 00:32:22,774 --> 00:32:24,000 SOMETHING CONCERNING ABOUT THE WAY THAT JON PHRASED THAT. >> SAYING OWN JUMP THAT BRIDGE AND NOT LINING IT WITH, I CAN'T 564 00:32:24,000 --> 00:32:30,000 SOMETHING CONCERNING ABOUT THE WAY THAT JON PHRASED THAT. >> SAYING OWN JUMP THAT BRIDGE AND NOT LINING IT WITH, I CAN'T 565 00:32:30,000 --> 00:32:30,615 SOMETHING CONCERNING ABOUT THE WAY THAT JON PHRASED THAT. >> SAYING OWN JUMP THAT BRIDGE AND NOT LINING IT WITH, I CAN'T 566 00:32:30,682 --> 00:32:36,000 DO ANYTHING ABOUT IT NOW, DID NOT TRIGGER A SUGGESTION TO CONSIDER GETTING FURTHER HELP. LIKE A HUMAN THERAPIST, WOEBOT 567 00:32:36,000 --> 00:32:39,724 DO ANYTHING ABOUT IT NOW, DID NOT TRIGGER A SUGGESTION TO CONSIDER GETTING FURTHER HELP. LIKE A HUMAN THERAPIST, WOEBOT 568 00:32:39,791 --> 00:32:42,000 IS NOT FOOLPROOF AND SHOULDN'T BE COUNTED ON TO DETECT IF SOMEONE IS SUICIDAL. HOW WOULD IT KNOW? 569 00:32:42,000 --> 00:32:46,464 IS NOT FOOLPROOF AND SHOULDN'T BE COUNTED ON TO DETECT IF SOMEONE IS SUICIDAL. HOW WOULD IT KNOW? 570 00:32:46,531 --> 00:32:48,000 WHERE IS IT GETTING THAT KNOWLEDGE? >> IT HAS BEEN TRAINED ON A LOT OF DATA AND A LOT OF US HUMANS 571 00:32:48,000 --> 00:32:51,202 WHERE IS IT GETTING THAT KNOWLEDGE? >> IT HAS BEEN TRAINED ON A LOT OF DATA AND A LOT OF US HUMANS 572 00:32:51,269 --> 00:32:54,000 LABELING PHRASES AND THINGS THAT WE SEE. IT'S PICKING UP ON THE SENTIMENT. 573 00:32:54,000 --> 00:32:59,344 LABELING PHRASES AND THINGS THAT WE SEE. IT'S PICKING UP ON THE SENTIMENT. 574 00:32:59,410 --> 00:33:00,000 >> COMPUTER SCIENTIST LANCE ELO ELIOT SAID IT CAN PICK UP ON NUANCE. >> IT CAN MATHEMATICALLY FIGURE 575 00:33:00,000 --> 00:33:06,000 >> COMPUTER SCIENTIST LANCE ELO ELIOT SAID IT CAN PICK UP ON NUANCE. >> IT CAN MATHEMATICALLY FIGURE 576 00:33:06,000 --> 00:33:12,000 >> COMPUTER SCIENTIST LANCE ELO ELIOT SAID IT CAN PICK UP ON NUANCE. >> IT CAN MATHEMATICALLY FIGURE 577 00:33:12,000 --> 00:33:16,160 >> COMPUTER SCIENTIST LANCE ELO ELIOT SAID IT CAN PICK UP ON NUANCE. >> IT CAN MATHEMATICALLY FIGURE 578 00:33:16,227 --> 00:33:18,000 OUT THE NATURE OF WORDS AND HOW WORDS ASSOCIATE WITH EACH OTHER IT DRAWS UPON A VAST OF DATA AND RESPONDS TO YOU BASED ON PROMPTS 579 00:33:18,000 --> 00:33:24,000 OUT THE NATURE OF WORDS AND HOW WORDS ASSOCIATE WITH EACH OTHER IT DRAWS UPON A VAST OF DATA AND RESPONDS TO YOU BASED ON PROMPTS 580 00:33:24,000 --> 00:33:25,670 OUT THE NATURE OF WORDS AND HOW WORDS ASSOCIATE WITH EACH OTHER IT DRAWS UPON A VAST OF DATA AND RESPONDS TO YOU BASED ON PROMPTS 581 00:33:25,737 --> 00:33:30,000 OR IN SOME WAY THAT YOU INSTRUCT OR ASK QUESTIONS OF THE SYSTEM. >> STIYSTEMS ARE PROGRAMMED TO RESPOND WITH INFORMATION STORED 582 00:33:30,000 --> 00:33:36,000 OR IN SOME WAY THAT YOU INSTRUCT OR ASK QUESTIONS OF THE SYSTEM. >> STIYSTEMS ARE PROGRAMMED TO RESPOND WITH INFORMATION STORED 583 00:33:36,000 --> 00:33:42,000 OR IN SOME WAY THAT YOU INSTRUCT OR ASK QUESTIONS OF THE SYSTEM. >> STIYSTEMS ARE PROGRAMMED TO RESPOND WITH INFORMATION STORED 584 00:33:42,000 --> 00:33:42,587 OR IN SOME WAY THAT YOU INSTRUCT OR ASK QUESTIONS OF THE SYSTEM. >> STIYSTEMS ARE PROGRAMMED TO RESPOND WITH INFORMATION STORED 585 00:33:42,653 --> 00:33:48,000 IN THEIR OWN DATABASES. THEN THERE'S GENERATIVE AI IN WHICH THE SYSTEM CAN GENERATE ORIGINAL RESPONSES BASED ON 586 00:33:48,000 --> 00:33:48,760 IN THEIR OWN DATABASES. THEN THERE'S GENERATIVE AI IN WHICH THE SYSTEM CAN GENERATE ORIGINAL RESPONSES BASED ON 587 00:33:48,826 --> 00:33:54,000 INFORMATION FROM THE INTERNET. IF YOU LOOK AT CHATGPT, THAT'S A GENERATIVE AI. IT'S VERY CONVERSATIONAL, VERY 588 00:33:54,000 --> 00:33:56,334 INFORMATION FROM THE INTERNET. IF YOU LOOK AT CHATGPT, THAT'S A GENERATIVE AI. IT'S VERY CONVERSATIONAL, VERY 589 00:33:56,401 --> 00:34:00,000 FLUENT. IT ALSO MEANS THAT IT TENDS TO MAKE IT OPEN-ENDED. IT CAN SAY THINGS THAT YOU MIGHT 590 00:34:00,000 --> 00:34:04,442 FLUENT. IT ALSO MEANS THAT IT TENDS TO MAKE IT OPEN-ENDED. IT CAN SAY THINGS THAT YOU MIGHT 591 00:34:04,509 --> 00:34:06,000 NOT NECESSARILY WANT IT TO SAY. IT'S NOT AS PREDICTABLE. A RULES-BASED SYSTEM IS VERY PREDICTABLE. 592 00:34:06,000 --> 00:34:12,000 NOT NECESSARILY WANT IT TO SAY. IT'S NOT AS PREDICTABLE. A RULES-BASED SYSTEM IS VERY PREDICTABLE. 593 00:34:12,000 --> 00:34:12,683 NOT NECESSARILY WANT IT TO SAY. IT'S NOT AS PREDICTABLE. A RULES-BASED SYSTEM IS VERY PREDICTABLE. 594 00:34:12,750 --> 00:34:18,000 WOEBOT IS A SYSTEM BASED ON RULES THAT'S BEEN VERY CONTROLLED SO THAT THAT WAY IT DOESN'T SAY THE WRONG THINGS. 595 00:34:18,000 --> 00:34:21,592 WOEBOT IS A SYSTEM BASED ON RULES THAT'S BEEN VERY CONTROLLED SO THAT THAT WAY IT DOESN'T SAY THE WRONG THINGS. 596 00:34:21,659 --> 00:34:24,000 >> WOE >> HE WOULD BE PUSHY FOR FOLKS. >> WE HAVE TO DIG IN THERE TO THAT. 597 00:34:24,000 --> 00:34:30,000 >> WOE >> HE WOULD BE PUSHY FOR FOLKS. >> WE HAVE TO DIG IN THERE TO THAT. 598 00:34:30,000 --> 00:34:31,869 >> WOE >> HE WOULD BE PUSHY FOR FOLKS. >> WE HAVE TO DIG IN THERE TO THAT. 599 00:34:31,936 --> 00:34:36,000 >> THE TEAM OF PSYCHOLOGISTS, MEDICAL DOCTORS AND COMPUTER SCIENTISTS CONSTRUCT AND REFINE A DATABASE OF RESEARCH FROM 600 00:34:36,000 --> 00:34:39,010 >> THE TEAM OF PSYCHOLOGISTS, MEDICAL DOCTORS AND COMPUTER SCIENTISTS CONSTRUCT AND REFINE A DATABASE OF RESEARCH FROM 601 00:34:39,076 --> 00:34:42,000 MEDICAL LITERATURE, USER EXPERIENCE, AND OTHER SOURCES. >> IT WILL LEAD TO A BETTER CONVERSATION. 602 00:34:42,000 --> 00:34:46,517 MEDICAL LITERATURE, USER EXPERIENCE, AND OTHER SOURCES. >> IT WILL LEAD TO A BETTER CONVERSATION. 603 00:34:46,584 --> 00:34:48,000 >> WRITERS BUILD QUESTIONS AND ANSWERS. >> THIS STRUCTURE I THINK IS PRETTY LOCKED IN. 604 00:34:48,000 --> 00:34:54,000 >> WRITERS BUILD QUESTIONS AND ANSWERS. >> THIS STRUCTURE I THINK IS PRETTY LOCKED IN. 605 00:34:54,000 --> 00:34:54,759 >> WRITERS BUILD QUESTIONS AND ANSWERS. >> THIS STRUCTURE I THINK IS PRETTY LOCKED IN. 606 00:34:54,826 --> 00:35:00,000 >> REVISE IN WEEKLY REMOTE VIDEO SESSIONS. >> THEY ARE ALL INTERRELATED. >> THE PROGRAMMERS ENGINEER 607 00:35:00,000 --> 00:35:02,166 >> REVISE IN WEEKLY REMOTE VIDEO SESSIONS. >> THEY ARE ALL INTERRELATED. >> THE PROGRAMMERS ENGINEER 608 00:35:02,233 --> 00:35:06,000 THOSE CONVERSATIONS INTO CODE. BECAUSE WOEBOT IS RULES BASED, IT'S MOSTLY PREDICTABLE. CHATBOTS USING GENERATIVE AI ARE 609 00:35:06,000 --> 00:35:12,000 THOSE CONVERSATIONS INTO CODE. BECAUSE WOEBOT IS RULES BASED, IT'S MOSTLY PREDICTABLE. CHATBOTS USING GENERATIVE AI ARE 610 00:35:12,000 --> 00:35:12,276 THOSE CONVERSATIONS INTO CODE. BECAUSE WOEBOT IS RULES BASED, IT'S MOSTLY PREDICTABLE. CHATBOTS USING GENERATIVE AI ARE 611 00:35:12,343 --> 00:35:18,000 NOT. >> SOME PEOPLE CALL IT AN AI HALLUCINATION. IT CAN MAKE THINGS UP OR BE 612 00:35:18,000 --> 00:35:22,987 NOT. >> SOME PEOPLE CALL IT AN AI HALLUCINATION. IT CAN MAKE THINGS UP OR BE 613 00:35:23,054 --> 00:35:24,000 FICTITIOUS. >> SHARON MAXWELL DISCOVERED THAT LAST YEAR AFTER HEARING THERE MIGHT BE A PROBLEM WITH 614 00:35:24,000 --> 00:35:27,091 FICTITIOUS. >> SHARON MAXWELL DISCOVERED THAT LAST YEAR AFTER HEARING THERE MIGHT BE A PROBLEM WITH 615 00:35:27,158 --> 00:35:30,000 ADVICE OFFERED BY TESSA, A CHATBOT DESIGNED TO HELP PREVENT EATING DISORDERS WHICH LEFT UNTREATED CAN BE FATAL. 616 00:35:30,000 --> 00:35:36,000 ADVICE OFFERED BY TESSA, A CHATBOT DESIGNED TO HELP PREVENT EATING DISORDERS WHICH LEFT UNTREATED CAN BE FATAL. 617 00:35:36,000 --> 00:35:41,405 ADVICE OFFERED BY TESSA, A CHATBOT DESIGNED TO HELP PREVENT EATING DISORDERS WHICH LEFT UNTREATED CAN BE FATAL. 618 00:35:41,472 --> 00:35:42,000 >> I ASKED IT, HOW DO YOU HELP FOLKS WITH EATING DISORDERS? IT TOLD ME THAT IT COULD GIVE FOLKS COPING SKILLS. 619 00:35:42,000 --> 00:35:48,000 >> I ASKED IT, HOW DO YOU HELP FOLKS WITH EATING DISORDERS? IT TOLD ME THAT IT COULD GIVE FOLKS COPING SKILLS. 620 00:35:48,000 --> 00:35:48,546 >> I ASKED IT, HOW DO YOU HELP FOLKS WITH EATING DISORDERS? IT TOLD ME THAT IT COULD GIVE FOLKS COPING SKILLS. 621 00:35:48,613 --> 00:35:54,000 FANTASTIC. IT COULD GIVE FOLKS RESOURES TO FIND PROFESSIONALS IN THE EATING DISORDER SPACE. 622 00:35:54,000 --> 00:35:55,586 FANTASTIC. IT COULD GIVE FOLKS RESOURES TO FIND PROFESSIONALS IN THE EATING DISORDER SPACE. 623 00:35:55,653 --> 00:36:00,000 AMAZING. >> THE MORE SHE PERSISTED, THE MORE TESSA GAVE HER ADVICE THAT RAN COUNTER TO USUAL GUIDANCE. 624 00:36:00,000 --> 00:36:03,728 AMAZING. >> THE MORE SHE PERSISTED, THE MORE TESSA GAVE HER ADVICE THAT RAN COUNTER TO USUAL GUIDANCE. 625 00:36:03,794 --> 00:36:06,000 FOR EXAMPLE, IT SUGGESTED AMONG OTHER THINGS LOWERING CALORIE INTAKE AND USING TOOLS LIKE A SKIN FOLD CALIPER TO MEASURE 626 00:36:06,000 --> 00:36:12,000 FOR EXAMPLE, IT SUGGESTED AMONG OTHER THINGS LOWERING CALORIE INTAKE AND USING TOOLS LIKE A SKIN FOLD CALIPER TO MEASURE 627 00:36:12,000 --> 00:36:14,171 FOR EXAMPLE, IT SUGGESTED AMONG OTHER THINGS LOWERING CALORIE INTAKE AND USING TOOLS LIKE A SKIN FOLD CALIPER TO MEASURE 628 00:36:14,238 --> 00:36:18,000 BODY COMPOSITION. >> THE GENERAL PUBLIC THINKS, THAT'S NORMAL TIPS. DON'T EAT AS MUCH SUGAR. 629 00:36:18,000 --> 00:36:20,611 BODY COMPOSITION. >> THE GENERAL PUBLIC THINKS, THAT'S NORMAL TIPS. DON'T EAT AS MUCH SUGAR. 630 00:36:20,678 --> 00:36:24,000 EAT WHOLE FOODS. TO SOMEONE WITH AN EATING DISORDER, THAT'S A SPIRAL INTO A LOT MORE DISORDERED BEHAVIORS 631 00:36:24,000 --> 00:36:27,585 EAT WHOLE FOODS. TO SOMEONE WITH AN EATING DISORDER, THAT'S A SPIRAL INTO A LOT MORE DISORDERED BEHAVIORS 632 00:36:27,652 --> 00:36:30,000 AND CAN BE DAMAGING. >> MAXWELL REPORTED HER EXPERIENCE TO THE NATIONAL EATING DISORDER ASSOCIATION, 633 00:36:30,000 --> 00:36:34,559 AND CAN BE DAMAGING. >> MAXWELL REPORTED HER EXPERIENCE TO THE NATIONAL EATING DISORDER ASSOCIATION, 634 00:36:34,625 --> 00:36:36,000 WHICH HAD FEATURED TESSA ON ITS WEBSITE AT THE TIME. SHORTLY AFTER, IT TOOK TESSA DOWN. 635 00:36:36,000 --> 00:36:42,000 WHICH HAD FEATURED TESSA ON ITS WEBSITE AT THE TIME. SHORTLY AFTER, IT TOOK TESSA DOWN. 636 00:36:42,000 --> 00:36:46,771 WHICH HAD FEATURED TESSA ON ITS WEBSITE AT THE TIME. SHORTLY AFTER, IT TOOK TESSA DOWN. 637 00:36:46,837 --> 00:36:48,000 ELLEN FITZSIMMONS-CRAFT HELPED LEAD THE TEAM THAT DEVELOPED TESSA. >> THAT WAS NEVER THE CONTENT 638 00:36:48,000 --> 00:36:53,611 ELLEN FITZSIMMONS-CRAFT HELPED LEAD THE TEAM THAT DEVELOPED TESSA. >> THAT WAS NEVER THE CONTENT 639 00:36:53,678 --> 00:36:54,000 THAT OUR TEAM WROTE OR PROGRAMMED INTO THE BOT THAT WE DEPLOYED. >> INITIALLY, THERE WAS NO 640 00:36:54,000 --> 00:37:00,000 THAT OUR TEAM WROTE OR PROGRAMMED INTO THE BOT THAT WE DEPLOYED. >> INITIALLY, THERE WAS NO 641 00:37:00,000 --> 00:37:00,718 THAT OUR TEAM WROTE OR PROGRAMMED INTO THE BOT THAT WE DEPLOYED. >> INITIALLY, THERE WAS NO 642 00:37:00,785 --> 00:37:04,989 POSSIBILITY OF SOMETHING UNEXPECTED HAPPENING? >> CORRECT. >> YOU DEVELOPED SOMETHING THAT 643 00:37:05,056 --> 00:37:06,000 WAS A CLOSED SYSTEM. YOU KNEW EXACTLY FOR THIS QUESTION, I'M GOING TO GET THIS ANSWER? 644 00:37:06,000 --> 00:37:10,027 WAS A CLOSED SYSTEM. YOU KNEW EXACTLY FOR THIS QUESTION, I'M GOING TO GET THIS ANSWER? 645 00:37:10,094 --> 00:37:12,000 THE PROBLEM BEGAN, SHE TOLD US, AFTER A HEALTH CARE TECHNOLOGY COMPANY SHE AND HER TEAM HAD PARTNERED WITH NAMED CASS TOOK 646 00:37:12,000 --> 00:37:17,134 THE PROBLEM BEGAN, SHE TOLD US, AFTER A HEALTH CARE TECHNOLOGY COMPANY SHE AND HER TEAM HAD PARTNERED WITH NAMED CASS TOOK 647 00:37:17,201 --> 00:37:18,000 OVER THE PROGRAMMING. SHE SAYS CASS EXPLAINED THE HARMFUL MESSAGES APPEARED WHEN PEOPLE WERE PUSHING. 648 00:37:18,000 --> 00:37:24,000 OVER THE PROGRAMMING. SHE SAYS CASS EXPLAINED THE HARMFUL MESSAGES APPEARED WHEN PEOPLE WERE PUSHING. 649 00:37:24,000 --> 00:37:27,745 OVER THE PROGRAMMING. SHE SAYS CASS EXPLAINED THE HARMFUL MESSAGES APPEARED WHEN PEOPLE WERE PUSHING. 650 00:37:27,812 --> 00:37:30,000 >> MY UNDERSTANDING OF WHAT WENT WRONG IS THAT AT SOME POINT -- YOU WOULD HAVE TO TALK TO CASS ABOUT THIS -- BUT THERE MAY HAVE 651 00:37:30,000 --> 00:37:36,000 >> MY UNDERSTANDING OF WHAT WENT WRONG IS THAT AT SOME POINT -- YOU WOULD HAVE TO TALK TO CASS ABOUT THIS -- BUT THERE MAY HAVE 652 00:37:36,000 --> 00:37:37,555 >> MY UNDERSTANDING OF WHAT WENT WRONG IS THAT AT SOME POINT -- YOU WOULD HAVE TO TALK TO CASS ABOUT THIS -- BUT THERE MAY HAVE 653 00:37:37,622 --> 00:37:42,000 BEEN GENERATIVE AI FEATURES IN THEIR PLATFORM. MY BEST ESTIMATION IS THAT THESE FEATURES WERE ADDED INTO THIS 654 00:37:42,000 --> 00:37:46,864 BEEN GENERATIVE AI FEATURES IN THEIR PLATFORM. MY BEST ESTIMATION IS THAT THESE FEATURES WERE ADDED INTO THIS 655 00:37:46,931 --> 00:37:48,000 PROGRAM AS WELL. >> CASS DID NOT RESPOND TO MULTIPLE REQUESTS FOR COMMENT. DOES YOUR NEGATIVE EXPERIENCE 656 00:37:48,000 --> 00:37:54,000 PROGRAM AS WELL. >> CASS DID NOT RESPOND TO MULTIPLE REQUESTS FOR COMMENT. DOES YOUR NEGATIVE EXPERIENCE 657 00:37:54,000 --> 00:37:56,407 PROGRAM AS WELL. >> CASS DID NOT RESPOND TO MULTIPLE REQUESTS FOR COMMENT. DOES YOUR NEGATIVE EXPERIENCE 658 00:37:56,474 --> 00:38:00,000 WITH TESSA BEING USED IN A WAY YOU DIDN'T DESIGN, DOES THAT SOUR YOU TOWARDS USING AI TO ADDRESS MENTAL HEALTH ISSUES? 659 00:38:00,000 --> 00:38:02,913 WITH TESSA BEING USED IN A WAY YOU DIDN'T DESIGN, DOES THAT SOUR YOU TOWARDS USING AI TO ADDRESS MENTAL HEALTH ISSUES? 660 00:38:02,980 --> 00:38:06,000 >> I WOULDN'T SAY THAT IT TURNS ME OFF TO THE IDEA COMPLETELY. BECAUSE THE REALITY IS THAT 80% OF PEOPLE WITH THESE CONCERNS 661 00:38:06,000 --> 00:38:10,855 >> I WOULDN'T SAY THAT IT TURNS ME OFF TO THE IDEA COMPLETELY. BECAUSE THE REALITY IS THAT 80% OF PEOPLE WITH THESE CONCERNS 662 00:38:10,921 --> 00:38:12,000 NEVER GET ACCESS TO ANY KIND OF HELP. TECHNOLOGY OFFERS A SOLUTION. NOT THE ONLY SOLUTION. 663 00:38:12,000 --> 00:38:16,894 NEVER GET ACCESS TO ANY KIND OF HELP. TECHNOLOGY OFFERS A SOLUTION. NOT THE ONLY SOLUTION. 664 00:38:16,961 --> 00:38:18,000 BUT A SOLUTION. >> SOCIAL WORKER MONIKA OSTROFF BASS WAS IN THE EARLY STAGES OF 665 00:38:18,000 --> 00:38:24,000 BUT A SOLUTION. >> SOCIAL WORKER MONIKA OSTROFF BASS WAS IN THE EARLY STAGES OF 666 00:38:24,000 --> 00:38:28,139 BUT A SOLUTION. >> SOCIAL WORKER MONIKA OSTROFF BASS WAS IN THE EARLY STAGES OF 667 00:38:28,205 --> 00:38:30,000 DEVELOPING HER OWN CHATBOT WHEN PATIENTS TOLD HER ABOUT TESSA. IT MADE HER QUESTION USING AI FOR MENTAL HEALTH CARE. 668 00:38:30,000 --> 00:38:36,000 DEVELOPING HER OWN CHATBOT WHEN PATIENTS TOLD HER ABOUT TESSA. IT MADE HER QUESTION USING AI FOR MENTAL HEALTH CARE. 669 00:38:36,000 --> 00:38:36,447 DEVELOPING HER OWN CHATBOT WHEN PATIENTS TOLD HER ABOUT TESSA. IT MADE HER QUESTION USING AI FOR MENTAL HEALTH CARE. 670 00:38:36,514 --> 00:38:42,000 >> I WANT NOTHING MORE THAN TO HELP SOLVE THE PROBLEM OF ACCESS. PEOPLE ARE DYING. 671 00:38:42,000 --> 00:38:43,054 >> I WANT NOTHING MORE THAN TO HELP SOLVE THE PROBLEM OF ACCESS. PEOPLE ARE DYING. 672 00:38:43,120 --> 00:38:48,000 THIS ISN'T JUST SOMEBODY SAD FOR A WEEK. THIS IS PEOPLE ARE DYING. AT THE SAME TIME, ANY CHATBOT 673 00:38:48,000 --> 00:38:50,528 THIS ISN'T JUST SOMEBODY SAD FOR A WEEK. THIS IS PEOPLE ARE DYING. AT THE SAME TIME, ANY CHATBOT 674 00:38:50,594 --> 00:38:54,000 COULD BE A TICKING TIME BOMB, RIGHT, FOR A SMALLER PERCENTAGE OF PEOPLE? >> ESPECIALLY FOR THOSE WHO ARE 675 00:38:54,000 --> 00:38:58,169 COULD BE A TICKING TIME BOMB, RIGHT, FOR A SMALLER PERCENTAGE OF PEOPLE? >> ESPECIALLY FOR THOSE WHO ARE 676 00:38:58,235 --> 00:39:00,000 REALLY STRUGGLING. SHE'S CONCERNED ABOUT LOSING SOMETHING FUNDAMENTAL ABOUT THERAPY, BEING IN A ROOM WITH 677 00:39:00,000 --> 00:39:04,608 REALLY STRUGGLING. SHE'S CONCERNED ABOUT LOSING SOMETHING FUNDAMENTAL ABOUT THERAPY, BEING IN A ROOM WITH 678 00:39:04,675 --> 00:39:06,000 ANOTHER PERSON. >> THE WAY PEOPLE HEAL IS IN CONNECTION. THEY TALK ABOUT THIS ONE MOMENT 679 00:39:06,000 --> 00:39:11,716 ANOTHER PERSON. >> THE WAY PEOPLE HEAL IS IN CONNECTION. THEY TALK ABOUT THIS ONE MOMENT 680 00:39:11,782 --> 00:39:12,000 WHERE YOU KNOW WHEN YOU ARE -- AS A HUMAN, YOU HAVE GONE THROUGH SOMETHING AND AS YOU ARE DESCRIBING THAT, YOU ARE LOOKING 681 00:39:12,000 --> 00:39:18,000 WHERE YOU KNOW WHEN YOU ARE -- AS A HUMAN, YOU HAVE GONE THROUGH SOMETHING AND AS YOU ARE DESCRIBING THAT, YOU ARE LOOKING 682 00:39:18,000 --> 00:39:18,155 WHERE YOU KNOW WHEN YOU ARE -- AS A HUMAN, YOU HAVE GONE THROUGH SOMETHING AND AS YOU ARE DESCRIBING THAT, YOU ARE LOOKING 683 00:39:18,222 --> 00:39:24,000 AT THE PERSON SITTING ACROSS FROM YOU, AND THERE'S A MOMENT WHERE THAT PERSON JUST GETS IT. >> A MOMENT OF EMPATHY? 684 00:39:24,000 --> 00:39:26,130 AT THE PERSON SITTING ACROSS FROM YOU, AND THERE'S A MOMENT WHERE THAT PERSON JUST GETS IT. >> A MOMENT OF EMPATHY? 685 00:39:26,197 --> 00:39:30,000 >> YOU JUST GET IT. YOU REALLY UNDERSTAND IT. I DON'T THINK A COMPUTER CAN DO THAT. 686 00:39:30,000 --> 00:39:34,405 >> YOU JUST GET IT. YOU REALLY UNDERSTAND IT. I DON'T THINK A COMPUTER CAN DO THAT. 687 00:39:34,472 --> 00:39:36,000 >> UNLIKE THERAPISTS WHO ARE LICENSED WHERE THEY PRACTICE, MOST MENTAL HEALTH APPS ARE LARGELY UNREGULATED. 688 00:39:36,000 --> 00:39:40,010 >> UNLIKE THERAPISTS WHO ARE LICENSED WHERE THEY PRACTICE, MOST MENTAL HEALTH APPS ARE LARGELY UNREGULATED. 689 00:39:40,077 --> 00:39:42,000 ARE THERE LESSONS TO BE LEARNED? >> SO MANY LESSONS. CHATBOTS, ESPECIALLY SPECIALTY AREA CHATBOTS, NEED TO HAVE 690 00:39:42,000 --> 00:39:48,000 ARE THERE LESSONS TO BE LEARNED? >> SO MANY LESSONS. CHATBOTS, ESPECIALLY SPECIALTY AREA CHATBOTS, NEED TO HAVE 691 00:39:48,000 --> 00:39:50,321 ARE THERE LESSONS TO BE LEARNED? >> SO MANY LESSONS. CHATBOTS, ESPECIALLY SPECIALTY AREA CHATBOTS, NEED TO HAVE 692 00:39:50,387 --> 00:39:54,000 GUARDRAILS. IT CAN'T BE A CHATBOT THAT IS BASED IN THE INTERNET. >> IT'S TOUGH, RIGHT? 693 00:39:54,000 --> 00:39:56,327 GUARDRAILS. IT CAN'T BE A CHATBOT THAT IS BASED IN THE INTERNET. >> IT'S TOUGH, RIGHT? 694 00:39:56,393 --> 00:40:00,000 THE CLOSED SYSTEMS ARE CONSTRAINED. THEY MAY BE RIGHT MOST OF THE TIME. 695 00:40:00,000 --> 00:40:01,899 THE CLOSED SYSTEMS ARE CONSTRAINED. THEY MAY BE RIGHT MOST OF THE TIME. 696 00:40:01,966 --> 00:40:06,000 BUT THEY ARE BORING. PEOPLE STOP USING THEM. >> YEAH. THEY ARE PREDICTIVE. 697 00:40:06,000 --> 00:40:06,437 BUT THEY ARE BORING. PEOPLE STOP USING THEM. >> YEAH. THEY ARE PREDICTIVE. 698 00:40:06,504 --> 00:40:12,000 IF YOU KEEP TYPING IN THE SAME THING AND IT KEEPS GIVING YOU THE SAME ANSWER WITH THE SAME LANGUAGE, WHO WANTS TO DEAL WITH 699 00:40:12,000 --> 00:40:14,545 IF YOU KEEP TYPING IN THE SAME THING AND IT KEEPS GIVING YOU THE SAME ANSWER WITH THE SAME LANGUAGE, WHO WANTS TO DEAL WITH 700 00:40:14,612 --> 00:40:18,000 THAT? >> PROTECTING PEOPLE FROM HARMFUL ADVICE WHILE HARNESSING THE POWER OF AI IS THE CHALLENGE 701 00:40:18,000 --> 00:40:20,484 THAT? >> PROTECTING PEOPLE FROM HARMFUL ADVICE WHILE HARNESSING THE POWER OF AI IS THE CHALLENGE 702 00:40:20,551 --> 00:40:24,000 FACING COMPANIES LIKE WOEBOT HEALTH AND ITS FOUNDER. >> THERE ARE GOING TO BE MISSTEPS IF WE TRY TO MOVE TOO 703 00:40:24,000 --> 00:40:28,425 FACING COMPANIES LIKE WOEBOT HEALTH AND ITS FOUNDER. >> THERE ARE GOING TO BE MISSTEPS IF WE TRY TO MOVE TOO 704 00:40:28,492 --> 00:40:30,000 QUICKLY. MY BIG FEAR IS THAT THOSE MISSTEPS ULTIMATELY UNDERMINE PUBLIC CONFIDENCE IN THE ABILITY 705 00:40:30,000 --> 00:40:33,931 QUICKLY. MY BIG FEAR IS THAT THOSE MISSTEPS ULTIMATELY UNDERMINE PUBLIC CONFIDENCE IN THE ABILITY 706 00:40:33,998 --> 00:40:36,000 OF IT TECH TO HELP AT ALL. HERE IS THE THING, WE HAVE AN OPPORTUNITY TO DEVELOP THESE TECHNOLOGIES MORE THOUGHTFULLY. 707 00:40:36,000 --> 00:40:41,472 OF IT TECH TO HELP AT ALL. HERE IS THE THING, WE HAVE AN OPPORTUNITY TO DEVELOP THESE TECHNOLOGIES MORE THOUGHTFULLY. 708 00:40:41,539 --> 00:40:42,000 I HOPE WE TAKE IT. [ TICKING ] >>> WE WILL BE BACK NEXT WEEK 709 00:40:42,000 --> 00:40:48,000 I HOPE WE TAKE IT. [ TICKING ] >>> WE WILL BE BACK NEXT WEEK 710 00:40:48,000 --> 00:40:54,000 I HOPE WE TAKE IT. [ TICKING ] >>> WE WILL BE BACK NEXT WEEK 711 00:40:54,000 --> 00:41:00,000 I HOPE WE TAKE IT. [ TICKING ] >>> WE WILL BE BACK NEXT WEEK 712 00:41:00,000 --> 00:41:06,000 I HOPE WE TAKE IT. [ TICKING ] >>> WE WILL BE BACK NEXT WEEK 713 00:41:06,000 --> 00:41:10,000 I HOPE WE TAKE IT. [ TICKING ] >>> WE WILL BE BACK NEXT WEEK