Jeff Dean @JeffDean
Co-founder & CEO of Discovery Loop. Former Chief Scientist, Google. Helped build many Google products, TPUs, Gemini, TensorFlow, MapReduce, Bigtable, ... discoveryloop.com Joined September 2017-
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Have a glimpse at this! Nice work, @AndrewDai and Elorian folks!
Spent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that. Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning
My AI security research lab AISLE discovered 500+ zero-days with CVEs across 100+ codebases in a year => ~1% of 2026's open-source CVEs globally from a single team! On hardened codebases like curl, we've repeatedly matched or outperformed frontier AI labs in zero-day discovery
@stanislavfort Nice work, @stanislavfort / AISLE! Finding and fixing vulnerabilities quickly is becoming ever more important!
@SumoTail @Khipu_AI @DeepIndaba @DiscoLoopAI Indeed. From a blog post I co-authored in 2018 announcing the establishment of our Google AI Research Center in Accra. blog.google/company-news/i…
I've been a personal supporter (through our family foundation) of @Khipu_AI & @DeepIndaba, which are fantastic events for AI researchers in Africa and South America. I've encouraged Google to support these in the past. Discovery Loop (@DiscoLoopAI) is thrilled to support!
For the last 10 years we've been raising funds to bring AI to Africa (@DeepIndaba) and South America (@Khipu_AI). The efforts have been very successful, but this year we are finding it hard to raise money. If you work for an AI company, please share the following with the right
@Khipu_AI @DeepIndaba @DiscoLoopAI As @NandoDF suggested, if you're at an AI company, please suggest to the appropriate person that these are worthwhile events for your company to sponsor.
Introducing DeepRSI, a new industry standard for measuring recursive self-improvement. On preexisting benchmarks, tasks are contributor-based and short-horizon (~12 hrs). In DeepRSI, we push agents to work 48 hours on ML tasks actually derived from ongoing proprietary research.
Wrapping up my first month at @DiscoLoopAI (am on leave from @PrincetonCS and @PrincetonPLI ). Excited to work on using AI to accelerate scientific discovery and solve important problems. My first startup experience, and with an incredible set of colleagues!
Announcing Discovery Loop! I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine
@prfsanjeevarora @DiscoLoopAI @PrincetonCS @PrincetonPLI Awesome to have you as a colleague!
@maithra_raghu Congrats on these very nice results!
We’re sharing new results showing that frontier AI models are able to outperform human experts on financial predictions for the first time. We built an environment for the challenging task of Earnings Predictions, finding that the most recent frontier models (Opus 5.5, Fable 5.1, Astra) with Samaya’s harness, meaningfully outperform expert consensus predictions on commonly reported earnings metrics such as company revenue, gross margin and more. We built this environment to have a “point-in-time” gate in the harness to ensure no information leakage, and created financial retrieval and data tools that would respect this gate and give the models access to the same information available to experts. We also adjusted for bias in expert consensus to create a hard, bias-corrected baseline, where outperformance has real signal. Only the most recent frontier AI models are able to beat this hard baseline, pointing to an important inflection point in AI capabilities in finance. Like with FrontierFinance, we see substantial headroom for further RL training in this environment — the models show large variations in error across different rollouts. We’re continuing research on using earnings prediction and other predictive tasks to post-train models to learn from their mistakes. Get in touch if you’d like to collaborate or try out an alpha version. Link to the full research below.
Proud to share that @phinity_ai is coming out of stealth today, announcing our seed fundraise and that we’ve reached 8-figures in annualized run rate. Chip design has been stuck in the 20th century for far too long. Now, for the first time in decades, a unique set of emerging factors is making it possible to fundamentally reinvent how chips are designed. At Phinity, we’re building toward fully autonomous chip design, with the goal of enabling custom silicon for thousands of emerging AI applications. Our team combines hardware experts, AI researchers, and infrastructure/EDA engineers to define a new way to design chips. We’re extremely grateful to @uncorkcap for leading our $5.2M seed, to @MoxxieVentures and angels including @JeffDean for joining the round, and to @pearvc for leading our pre-seed and backing us from the start. We’ve worked so, so hard to make this happen, and I’m proud to share our work publicly for the first time! You can read more about the announcement below. phinity.ai/blog/introduci… We’re hiring for ops and engineering roles. If you want to help build the future of chip design with us or are interested in learning more/partnering, please reach out to me or @sonyashijin .
Excited to finally share that @phinity_ai is now out of stealth! We're announcing our seed fundraise and that we’ve reached 8-figures in annualized run rate. We’re already working with some of the largest foundation model labs. Our mission is to build fully autonomous chip design so AI can help us search beyond the limits of human engineering and discover computational systems we would never find on our own. We’re fortunate to have the support of @uncorkcap, which led our $5.2M seed round, with participation from @Moxxie including @JeffDean, following our pre-seed led by @pearvc! It’s been an amazing few months, and I couldn’t be more grateful for the opportunity to build the future of chip design with such a talented team. You can read more about what we’re building and why in our full announcement. phinity.ai/blog/introduci… We’re hiring across all disciplines - if you’re interested in working with us, please reach out to me or @aadi_nash.
Very sorry to hear this news. 😥 I never had the chance to meet Margaret Hamilton, but her contributions to the flight software that got us to the moon are legendary. I love this image of her standing next to the printouts of the Apollo code.
We’ve lost an icon. Margaret Hamilton, a computer science pioneer best known for her work at MIT leading development of the flight software for the Apollo missions to the moon, has died at 90. Read about her legacy via MIT News: news.mit.edu/2026/margaret-…
@amnigos @CoughranBill @atomicworkhq Thanks for the coffee!
@docmilanfar @theNAEng Congrats on the well-deserved induction! The induction weekend was super fun because you get to meet so many interesting people across many fields!
@PaulYacoubian @siddharthaa7 @amnigos ? It is.
@ashwaniapex Having posted a similar badge + laptop photo recently (nice stickers!), I want to wish you all the best! It was a pleasure working with you over many years, and I'm certain you'll do amazing things in the future!
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NeurIPS Conference @NeurIPSConf
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