Phil Trubey
@PTrubey
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Looking for AI startups with fundamental technology.
San Diego, CA
Joined December 2012
My second podcast, thanks Royden for hosting, this time along with Scott Walter we discuss the wrongful termination lawsuit against Figure which alleges safety violations. Given Terminator movie fears, this is an important topic for this nascent industry.
🚨🤖What's really going on with the @Figure_robot lawsuit? @PTrubey & @GoingBallistic5 call this a warning shot for the humanoid industry. @adcock_brett When a head of safety documents concerns & is fired, it raises red flags. 👇🏽 https://t.co/utH6KI5xJm
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I’ve always wondered why AI researchers have never tried to replicate the way the human brain is organized. We have different cortical areas that are obviously specialized for different processing. Instead we try to shove everything into one model. What if we instead had 10-20
What does it mean to understand language? We argue that the brain’s core language system is limited, and that *deeply* understanding language requires EXPORTING information to other brain regions. w/ @neuranna @ev_fedorenko @Nancy_Kanwisher
https://t.co/6vvRGpkgE6 1/n🧵👇
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This is a significant change/development. Up until now, BD described Atlas as a “research platform”. Can’t wait to hear the details!
Hyundai committed to deploying tens of thousands of Atlases *and* helping us make a lot more for everyone else. Big updates in a few weeks.
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Web designers like @reijowrites bring powerful interactions to the web with one platform: Framer
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I guess the topic of the day is SpaceX going public in 2 years. I’ve always thought that instead of going public, they would spin off Starlink, and as it happens, 2 years is about the time it’ll take for handset manufacturers to support Starlink’s new direct to cell spectrum they
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Tesla is in another "lidar vs vision" debate, this time with their Optimus bot. Tesla infamously doesn't use lidar for vehicle self driving, something the chattering classes used as a rhetorical weapon against it. Two bot companies (Figure, Sunday) have palm cameras, but Tesla
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I am blown away that this is my recently highest reaching post. A 40 minute long ad-hoc summation of a PhD level paper? Are we awash with AI researchers in the world? Actually, after attending NeurIPS, I think the answer is YES, which bodes well for continual fast advancement.
This morning at NeurIPS, Rich Sutton reminded us that we need continual learning to reach AGI. This afternoon, Ali Behrouz presented a Google poster paper, Nested Learning, which provides new ideas on the path to continual learning. I recorded the 40 minute talk as it might be
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Here’s the full podcast. The part I liked the best starts at 1h19m where Jensen tells us the full NVIDIA origin story.
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OK, everyone MUST listen to the latest Joe Rogan podcast interview NVIDIA's founder/CEO Jensen Huang. The first half is mostly about AI's impact on society and future predictions, but at 1h28m we hear NVIDIA's origin story followed by how Jensen arrived in the US. Captivating.
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Waymo booth. Talked to a Waymo researcher yesterday, seems they still aren’t interested in doing end to end AI.
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Different energy level at Tesla booth and Waymo below, pics taken at the same time at NeurIPS. Helps that Tesla has a cool bot on display AND is offering FSD drives. Big miss for Waymo considering they will start San Diego service soon.
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@behrouz_ali I should have tagged you in the top post (go back to see it), I recorded your excellent talk about the paper.
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Full paper (more comprehensive than the abbreviated poster version):
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This morning at NeurIPS, Rich Sutton reminded us that we need continual learning to reach AGI. This afternoon, Ali Behrouz presented a Google poster paper, Nested Learning, which provides new ideas on the path to continual learning. I recorded the 40 minute talk as it might be
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Recently found out that Tesla's upcoming AI5 inference chip that will power Tesla's FSD in cars and Optimus is a much more ambitious chip than AI4 was. AI4 extensively used Samsung's SoC blocks like ARM CPU cores, SRAM, memory controllers, power management, while Tesla just
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30 agents. Cameras ordered off. @EricTrump recounts the moment the raid began. Watch the full interview.
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Rich Sutton gave a banger talk this morning at NeurIPS outlining an architecture for AGI. He started off reminding us what The Bitter Lesson was. Some people think the lesson is about scaling, but it isn’t really. The true Bitter Lesson is that a machine learning by itself is
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NeurIPS 2025 in San Diego is huge! Here’s the room for Rich Sutton’s keynote this morning.
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Daniel Kurek from Tesla just gave a talk about Tesla FSD and Optimus at NeurIPS. It was almost identical to Ashok's earlier talk a few weeks ago, but for me, easier to follow. Tesla believes their FSD model is a huge headstart for training Optimus. They are training Optimus
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