正在加载视频...

视频加载失败

How can we ensure robots using #foundationmodels, like LLMs, won’t “hallucinate” when executing tasks in complex, previously unseen environments? Our new SAFRON Advanced Research Concept seeks ideas to make sure #robots behave only as directed & intended.

11,052 次观看 • 1 年前 •via X (Twitter)

9 条评论

Jay Geis 的头像
Jay Geis1 年前

Instead of making Super Soldiers, this is what the wizards are doing. It's still cool, don't get me wrong, it just shatters my dreams of being the leader of Hero Team.

Christine 的头像
Christine1 年前

Unplug them. Now.

LPK 的头像
LPK1 年前

GIORDANO 😈🤬😡👿👺😡👹😈🤬

⁴² Ministère de la sécurité cognitive du Québec 的头像
⁴² Ministère de la sécurité cognitive du Québec1 年前

I'm pretty sure hallucination can be weaponize, You know, when it need to be parralel but not accurate due to legal restriction. Or pseudo hallucination made to mess with the human pareidolia "muscle" for stealthy harassement

CurbsideRX 的头像
CurbsideRX1 年前

Are (we) the robots?

StarDrive Engineering Company.LLC 的头像
StarDrive Engineering Company.LLC1 年前

Sharefacts1985yrD.O.D we build artfactial intelligence warp dimensional drive saucer spacecrafts with 300,000 hours teaching vocabulary with verbal skills and social interaction to see with video cameras and mathematics skills And science skills and capabilities run spacecraft

LPK 的头像
LPK1 年前

I'm being tortured by this AH and brother Jay Giordano these men r EVIL AS HELL MIND BRAIN CONTROL TORTURE LYNN ROTHCHILD TO YHE THE SEX TRAFFICKING POS

Bull Meechum 的头像
Bull Meechum1 年前

@trevorlanting @Quantum_Murray @dwavequantum REAL quantum annealing can help w/that Same tech that did this QBTS

No Such Project 的头像
No Such Project1 年前

SchizoBots

相关视频

Karol Hausman is the co-founder and CEO of Physical Intelligence, a robotics company building a general-purpose “AI brain for the physical world.” The company has raised more than $1 billion in funding to develop foundation models that allow robots to operate across many machines, environments, and tasks rather than being programmed for a single purpose. In our conversation, we explore: • The moment a lecture from Sergey Levine convinced him to abandon his PhD research direction and pivot fully to deep learning • The case for building a general “AI brain” for the physical world rather than a single specialized robot • The role of real-world data in training robots, the limits of simulation, and how deployment could create a powerful data flywheel • The unique challenges of physical intelligence and why robots must operate with far higher reliability than language models Thank you to the partners who make this possible - Brex: The intelligent finance platform: - Granola: The app that might actually make you love meetings: Timestamps (00:00) Intro (04:05) Karol’s early fascination with robots (18:21) Karol’s entry point to robotics and PhD program (25:49) Combining robotics with LLMs: The Taylor Swift demo (30:48) The 1970s SHRDLU AI experiment (39:40) How research shapes what Physical Intelligence builds (49:07) The return of reinforcement learning in robotics (1:00:00) NVIDIA’s simulation engines (1:07:31) Compensating for missing senses

Mario Gabriele 🦊

27,871 次观看 • 4 个月前