Jeff Dean
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Headlines · 4
- 17-year-old ex-Kimi researcher Nathan Chen reportedly joins Discovery Loop
On October 20 the anonymous account Arfur Grok, which tracks Silicon Valley AI talent moves, reported that 17-year-old researcher Chen Guangyu (Nathan Chen) had joined Discovery Loop, the startup founded by former Google researchers including Jeff Dean. Chen had announced on October 15 that he was leaving Moonshot AI, where he worked on the Kimi models, and he publicly denied speculation that he was joining Anthropic. Neither Chen nor Discovery Loop has confirmed the move, and Discovery Loop said it does not comment on personnel matters. Founded in August 2026 by four former Google researchers, Discovery Loop has released no public product and is reportedly seeking funding at about a $50 billion valuation, with the goal of using AI to propose hypotheses, design and run experiments and iterate on results.
InfoQ 中文 AI&大模型 · 🔥 0 - Ex-Anthropic, DeepMind researcher Yao Shunyu reportedly starts RSI firm at $2B valuation
Market reports dated Oct 13 say Yao Shunyu — a 29-year-old Tsinghua physics graduate and Stanford theoretical-physics PhD who worked on Claude and Gemini — has started a company in the RSI (recursive self-improvement) space to build customized models for enterprises, at a rumored valuation of about $2 billion with mostly overseas backers; the report is unconfirmed and no funding amount has been disclosed. Yao joined Anthropic in October 2024, contributing to agentic coding and tool-use research for Claude 3.7 and reinforcement-learning foundations for the Claude 4 family, and left partly over the company's China-related stance before joining Google DeepMind on Sept 29, 2025. The piece also surveys the crowded RSI field, including Tian Yuandong's Recursive Superintelligence, Jeff Dean's Discovery Loop, Sakana AI and China's Chaoyan Intelligence, noting there is no consensus on technical approach and that automated research may raise compute bills before it lowers them.
虎嗅 AI · 🔥 0 - DeepRSI debuts: Claude Fable 5.1 tops leaderboard, Kimi K3 third
Hillclimb, an AI startup backed by Jeff Dean, released the DeepRSI benchmark and its first results, testing models' recursive self-improvement ability on 15 tasks drawn from real machine learning research — covering training-recipe optimization, GPU kernel acceleration, estimator accuracy and vector search. Models ran for 48 hours without network access in a shared Pi Agent framework at maximum reasoning effort, proposing approaches, writing code, running experiments and iterating. Claude Fable 5.1 led with an Elo of 1548, ahead of GPT-6 Astra at 1232, while Moonshot AI's Kimi K3 placed third at 820 as the top open-weight model, ahead of Grok 4.7 and Gemini 3.8 Flash. The report notes the benchmark is still early: 15 tasks, five model configurations, two runs per model, with goals, environment and scoring still set by humans.
36氪 人工智能 · 🔥 0 - Hinton: humanity may have only a year or two to prepare AI oversight
In a 55-minute interview on 《Smart Girl Dumb Questions》 released October 6, Geoffrey Hinton argued that frontier AI should have to prove its safety to independent regulators before launch, much as drugs do, rather than self-certifying, and said the window for regulation and safety preparation may be very short. He rejected the “stop AI” framing, likening oversight to a steering wheel rather than a brake, gave high marks to Anthropic CEO Dario Amodei's “Pace the Frontier” proposal, and stressed that the hard part is accepting constraints when safety rules collide with funding and product timelines. He also described using GPT to revisit the wake-sleep algorithm he worked on 30 years ago, collapsing feedback loops from about a week to minutes while keeping problem selection and judgment with the researcher.
虎嗅 AI · 🔥 0
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