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Yi Tay@YiTayMLAI score46AIYi Tay says Gemini 3 Flash is out and is an outstanding model, with Flash alone competitive with the best GPT-5 models. Google DeepMind describes Gemini 3 Flash as offering frontier intelligence at a fraction of the cost, built for speed and scale.
Nano Banana 2.1@NanoBananaAI score4AINano Banana, Google's Gemini image account, posts a sample prompt for a traditional Christmas card featuring a couple in Christmas hats. The prompt specifies the text "Happy Christmas 2025" and a classical, friendly design in a winter wonderland setting.
Nano Banana 2.1@NanoBananaAI score14AINano Banana, the account owned by Google and Gemini, thanks @Arminn_Ai for inspiring a post showing 3D miniature isometric room images made with Nano Banana Pro. The post says users can upload their own photo to generate a personalized chibi-style figure in a cube-shaped room and offers to share the full prompt on request.
Nano Banana 2.1@NanoBananaAI score24AINano Banana, the account of Google's Gemini team, shares a prompt template for generating cute isometric 3D cube diorama lamps. The prompt specifies internal lighting, chibi figurine styling, matte PVC material, a neutral background in a dark room, many small details, and subtle dust and scratch textures.
Nano Banana 2.1@NanoBananaAI score4AINano Banana, Google's image model account, shares a prompt for a photo of a miniature chocolate shaped like a cartoon image shown as an advent window backdrop. The chocolate is held after being taken from a chocolate advent calendar.
AIARC Prize reports that the top Kaggle entry reached 24% on the ARC-AGI-2 private dataset at $0.20 per task, and that all winning solutions and papers are open source. The top verified commercial model, Opus 4.5 (Thinking, 64k), scored 37.6% at $2.20 per task, while a Poetiq refinement on Gemini 3 Pro reached 54% at $30 per task. The author argues that refinement loops are the main driver of 2025 progress, and says ARC-AGI-3 is planned for early 2026.
Why it matters: The post links 2025 competition results to a broader argument about refinement loops, showing how benchmark outcomes are being read as evidence of AI reasoning progress.
Quoc Le@quocleixAI score22AIGoogle's Deep Think was asked to design a fractal explosion in HTML, using extended thinking to plan recursion and aesthetics before writing code. The post presents the result as sophisticated digital art produced from a simple prompt.
Quoc Le@quocleixAI score62AIGoogle's Gemini 3 Deep Think mode is now available in the Gemini app for Ultra users. The post says it uses parallel thinking for difficult coding and scientific tasks and builds on technology that reached gold-medal level at the ICPC World Finals and IMO.
Quoc Le@quocleixAI score38AIQuoc Le announced that Google's Gemini team is recruiting for a new Singapore team focused on advanced reasoning and LLM reinforcement learning. The post invites exceptional engineers and researchers to join the team, which is led by Yi Tay and reports into Quoc Le's Mountain View group.
Yi Tay@YiTayMLAI score38AIYi Tay announced that Google DeepMind's Gemini team is starting a new research team in Singapore focused on advanced reasoning, LLM/RL, and improving frontier models such as Gemini and Gemini Deep Think. The team is led by Tay and reports to Quoc Le's broader team in Mountain View, which recently contributed to IMO and ICPC gold medal results with Gemini Deep Think. The team is starting small and is recruiting exceptionally capable engineers and researchers from the region and beyond.
Oriol Vinyals@OriolVinyalsMLAI score14AIGoogle DeepMind researcher Oriol Vinyals is traveling to Barcelona to receive a Doctor Honoris Causa from his alma mater, UPC. He also announced a Thursday master class titled "From AI to AGI: The Quest for True Intelligence," with registration details linked in the post.
Quoc Le@quocleixAI score34AIQuoc Le says Nano Banana Pro's text understanding is impressive, showing an infographic it created for the sequence-to-sequence paper from a single request. The post includes the generated image as its main evidence, with no figures on speed, pricing, or benchmarks.
Quoc Le@quocleixAI score34AIQuoc Le prompted Gemini 3 Deep Think to create a self-contained HTML analog film photography experience, and it produced a demo. The prompt required a viewfinder for uploaded images, adjustable settings, selectable film stocks that affect photo style, and a gallery of overlapping Polaroid-style prints that enlarge on hover.
Quoc Le@quocleixAI score38AIGoogle's Gemini 3 Deep Think (Preview) reaches 45.14% on ARC-AGI-2's semi-private eval at $77.16 per task. ARC Prize says this doubles the prior state of the art, with Gemini 3 Pro scoring 31.11% at $0.81 per task.
Quoc Le@quocleixAI score17AIQuoc Le reports that Gemini 3 autonomously identified the components of Neural Architecture Search with Reinforcement Learning, wrote p5.js code to animate it, and explained the concept clearly from a single prompt. He presents this as an informal example of the model's reasoning from internal knowledge, not a formal benchmark.
Quoc Le@quocleixAI score42AIGemini 3 has been released, with MathArena Apex rising from under 2% to 23.4% and ARC-AGI-2 reaching 31%. The post presents these jumps on hard benchmarks as a meaningful step forward in AI reasoning.
Aman Sanger@amanrsangerAI score38AIAman Sanger of Cursor says the team is hard at work on Composer 2. The post gives no features, benchmarks, or release timing, though it follows Cursor's $2.3B Series D raise and over $1B in annualized revenue.
AIARC Prize Foundation announced ARC Prize Verified, a program that certifies frontier model scores on the ARC-AGI benchmark using hidden test sets and adds a third-party academic panel to audit and open-source its testing process. Five AI labs, including Google and xAI, are sponsoring ARC-AGI-3 development, and the foundation says donations do not influence verification scoring. Models that pass verification will appear on the official leaderboard with a verification badge.