Amnon Shashua
@AmnonShashua
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AI Scientist | Tech Entrepreneur | CEO & President of @Mobileye
Israel
Joined January 2019
Deep reasoning is beyond the capabilities of today’s AI models. GPT5 shows some progress but overall the performance is a far cry to what is required to solve problems at expert level. Statements about models reaching PhD level should be taken with a measure of skepticism.
Are frontier AI models really capable of “PhD-level” reasoning? To answer this question, we introduce FormulaOne, a new reasoning benchmark of expert-level Dynamic Programming problems. We have curated a benchmark consisting of three tiers, in increasing complexity, which we call
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RT @shai_s_shwartz: 🧵 In our earlier threads, we explored what it means to learn to reason, why it’s hard, and why many current approaches….
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RT @shai_s_shwartz: 🧵 In our last thread, we talked about learning to reason-and how reasoning is fundamentally search under uncertainty.….
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We just released two papers from AAI describing recent work on our pursuit to build a “super-intelligent" AI that can match, and exceed, human level expertise in STEM. The first paper states that if we want to reach "super intelligence" then we must change the way we train our
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Interesting NYTimes piece on “mis-alignment” of conversational-AI (i.e., ChatGPT) making the point that optimizing for “engagement” yields destructive sycophantic behavior that “plays” with people's minds and elicits delusional behavior among “normal” people.
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An exciting milestone at Mentee Robotics! We’ve just released a teaser for the new @MenteeBot V3.0, a fully vertically integrated robot packed with cutting-edge innovations. It features custom-designed actuators that deliver three times more power than off-the-shelf alternatives,
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Shai Shalev-Shwartz talks about “foundation models for robots” leveraging unsupervised RL in a simulator followed by Sim2Real. Unlike autonomous driving, the amount and variety of tasks a robot can perform is open ended. Ideally one would like to verbalize a task (“instruct”).
1/ Chat applications are impressive because they can understand instructions or infer a task from just a few examples. At the Robotics conference today, I presented how humanoid robots can achieve a similar capability. A thread 👇.
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See below the CES press-conference about the latest status of autonomous driving as viewed from the perspective of @Mobileye. The theme was about what it would take to revolutionize transportation while leading into it through the classic machine learning precision/recall
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RT @MenteeBot: Excited to give the world a first glimpse into Menteebot ver 3, unveiled tonight for the first time at the NVIDIA CEO’s keyn….
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RT @shai_s_shwartz: Humanity’s greatest breakthroughs arise from profound expertise in focused domains. What does it take to build Artifici….
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The company AAI, founded a year ago, is still in stealth mode, but today we are doing a "partial unstealthing". A year and a half ago I gave a lecture at Reichman University about the latest status of large language models (LLMs). During the Q&A, Gil Kalai - a renowned
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We just published a scientific paper on the safety of autonomous vehicles. What makes this particular paper interesting is that there are non-obvious considerations that evolved over a number of years while building AVs for production. We started the “safety” journey back in
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Mobileye held today its first “Driving AI” day with a 2 hours detailed presentation by myself and Prof. Shai S. Shwartz, Mobileye’s CTO, going over some stealth developments to solve autonomy we have developed over the years. Just as a teaser, @Mobileye developed a transformer
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Deep and thoughtful talk by Prof. Lior Wolf, co-CEO of Mentee Robotics, on the fundamental AI technologies developed for the @MenteeBot. Among the various components, the Sim2Real tech really stands out. The deep-dive starts at min 20 of the talk.
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Another cool demo of @MenteeBot. The actual training of this demo was done on a simulator and with Sim2Real techniques that Mentee engineers have been perfecting over the last two years. The transfer to the real world was a matter of a few minutes. Training the robot to hold
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Another nice clip of @MenteeBot from Mentee Robotics. This is an end-to-end demo of a “follow me” task where the user instructs MenteeBot to perform all sorts of locomotion maneuvers. The instruction goes to a proprietary LLM that acts like an “agent” by breaking down the
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AI is moving very fast with two interesting data points on where the architecture is going. On one hand, chatGPT back in 11/2022 was an end-to-end (E2E) monolithic system where text comes in and text comes out, yet today chatGPT+ is a “compound AI system” (CAIS) comprising of
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