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#03 - Robotics + AI That Works: Peter Haas’ Roadmap to Abundance

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Manage episode 512544390 series 3692450
Content provided by James Wagenheim. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by James Wagenheim or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Peter is a Roboticist and a robotics consultant with Vairc, and as you will hear, he has a ton of experience and expertise across a wide range of disciplines in the field. He shares insight into what is happening on the bleeding edge of robotics and physical and artificial intelligence.

Peter traces a nonlinear path into robotics: early exposure building ultra-precise gyroscopes for NASA’s Gravity Probe B, a decade running an NGO supporting local infrastructure businesses in Haiti/Guatemala, then roles across lidar drones, Brown’s Humanity + Robotics Initiative, and statewide ecosystem building with MassRobotics and companies like Amazon Robotics and Boston Dynamics.

Thesis: we’re at an “Easter parade 1900 → 1913” inflection—robots will diffuse into everyday life like electricity and the Model T did, shifting from labs to streets, warehouses, homes, and services. Expect new institutions (e.g., robot operator licenses) and rapid infrastructure/policy catch-up.

Humanoids and autonomy: Haas counters Rodney Brooks’ skepticism, arguing we’re “moments” from AI capable enough to unlock practical humanoids and safer autonomy (cars included). Today’s transformer era may look like the “vacuum-tube ENIAC phase” in hindsight.

Near-term enabling tech: smaller, cheaper, privacy-respecting edge models with better interpretability/logging; explorations beyond transformers (e.g., biologically inspired “neuroethology,” connectome-guided architectures). These will sit inside apps/devices and support planning, decision-making, and on-device control.

“Extreme affordability”: much of the world’s next wave of robots will be built around ultra-low-cost compute (ESP32-class successors) and local manufacturing. As LLMs reduce hallucinations and accumulate practical know-how (energy, water, ag), they become catalysts for grassroots engineering and development.

Dystopia vs. abundance: the same tooling enables authoritarian surveillance (face/audio tracking, credit-score heat-maps) and weaponized platforms (wheeled shock bots, quadrupeds), potentially entrenching regimes for centuries; or it can deliver cheap goods, local food, routine surgeries, and higher global living standards. Which future arrives is a policy and culture choice, not a technical inevitability.

Autonomous weapons: swarming drones are coming to every military; norms and treaties should stigmatize fully autonomous “hunt and kill” systems akin to chemical weapons. The genie (open models, CAD, 3D printing) is out; defense must emphasize alignment and global guardrails before a World-War-I-style shock.

Political economy: as AI/robots outperform most human mental/physical tasks, societies may need transitional universal basic income (simple, dividend-style) to avoid a brittle, highly unequal order that demands coercion. Longer-term, a post-monetary “Star Trek” equilibrium is conceivable if we expand the pie and broaden participation. Taste, aesthetics, and human curation remain valuable cultural signals.

Civic aesthetics & the “Commonwealth”: investing in shared spaces and beauty (trees, clean streets, welcoming public realms) measurably improves safety, education, and economic prospects. Haas contrasts insular, security-maxed enclaves with places that cultivate common goods; the latter raise overall prosperity and resilience.

Model of hope: Gaviotas (Colombia) as a story of neutral, service-first institution-building—running a hospital open to all sides during conflict, seeding industry (pine resin), and unintentionally fostering rainforest regrowth under planted canopies. With AI/robotics, similar circular, ecological communities could scale—and show a path where technology and stewardship reinforce each other.

Bottom line: Robotics + AI are accelerating toward ubiquity, but outcomes hinge on taste, norms, and governance. If we pair extreme affordability and edge intelligence with human-centered aesthetics, pro-commons policy, and hard red lines on autonomous lethality, we can choose abundance over control—and build a future we actually like.

It was one of the best conversations I’ve ever had, and I hope you enjoy it.

And if you like this conversation, please hit the like button, subscribe, or find us on Patreon.

https://patreon.com/SmolDerPodcast

#aitrends #ai #claude #chatgpt #robotics

  continue reading

3 episodes

Artwork
iconShare
 
Manage episode 512544390 series 3692450
Content provided by James Wagenheim. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by James Wagenheim or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Peter is a Roboticist and a robotics consultant with Vairc, and as you will hear, he has a ton of experience and expertise across a wide range of disciplines in the field. He shares insight into what is happening on the bleeding edge of robotics and physical and artificial intelligence.

Peter traces a nonlinear path into robotics: early exposure building ultra-precise gyroscopes for NASA’s Gravity Probe B, a decade running an NGO supporting local infrastructure businesses in Haiti/Guatemala, then roles across lidar drones, Brown’s Humanity + Robotics Initiative, and statewide ecosystem building with MassRobotics and companies like Amazon Robotics and Boston Dynamics.

Thesis: we’re at an “Easter parade 1900 → 1913” inflection—robots will diffuse into everyday life like electricity and the Model T did, shifting from labs to streets, warehouses, homes, and services. Expect new institutions (e.g., robot operator licenses) and rapid infrastructure/policy catch-up.

Humanoids and autonomy: Haas counters Rodney Brooks’ skepticism, arguing we’re “moments” from AI capable enough to unlock practical humanoids and safer autonomy (cars included). Today’s transformer era may look like the “vacuum-tube ENIAC phase” in hindsight.

Near-term enabling tech: smaller, cheaper, privacy-respecting edge models with better interpretability/logging; explorations beyond transformers (e.g., biologically inspired “neuroethology,” connectome-guided architectures). These will sit inside apps/devices and support planning, decision-making, and on-device control.

“Extreme affordability”: much of the world’s next wave of robots will be built around ultra-low-cost compute (ESP32-class successors) and local manufacturing. As LLMs reduce hallucinations and accumulate practical know-how (energy, water, ag), they become catalysts for grassroots engineering and development.

Dystopia vs. abundance: the same tooling enables authoritarian surveillance (face/audio tracking, credit-score heat-maps) and weaponized platforms (wheeled shock bots, quadrupeds), potentially entrenching regimes for centuries; or it can deliver cheap goods, local food, routine surgeries, and higher global living standards. Which future arrives is a policy and culture choice, not a technical inevitability.

Autonomous weapons: swarming drones are coming to every military; norms and treaties should stigmatize fully autonomous “hunt and kill” systems akin to chemical weapons. The genie (open models, CAD, 3D printing) is out; defense must emphasize alignment and global guardrails before a World-War-I-style shock.

Political economy: as AI/robots outperform most human mental/physical tasks, societies may need transitional universal basic income (simple, dividend-style) to avoid a brittle, highly unequal order that demands coercion. Longer-term, a post-monetary “Star Trek” equilibrium is conceivable if we expand the pie and broaden participation. Taste, aesthetics, and human curation remain valuable cultural signals.

Civic aesthetics & the “Commonwealth”: investing in shared spaces and beauty (trees, clean streets, welcoming public realms) measurably improves safety, education, and economic prospects. Haas contrasts insular, security-maxed enclaves with places that cultivate common goods; the latter raise overall prosperity and resilience.

Model of hope: Gaviotas (Colombia) as a story of neutral, service-first institution-building—running a hospital open to all sides during conflict, seeding industry (pine resin), and unintentionally fostering rainforest regrowth under planted canopies. With AI/robotics, similar circular, ecological communities could scale—and show a path where technology and stewardship reinforce each other.

Bottom line: Robotics + AI are accelerating toward ubiquity, but outcomes hinge on taste, norms, and governance. If we pair extreme affordability and edge intelligence with human-centered aesthetics, pro-commons policy, and hard red lines on autonomous lethality, we can choose abundance over control—and build a future we actually like.

It was one of the best conversations I’ve ever had, and I hope you enjoy it.

And if you like this conversation, please hit the like button, subscribe, or find us on Patreon.

https://patreon.com/SmolDerPodcast

#aitrends #ai #claude #chatgpt #robotics

  continue reading

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