All tags
Topic: "test-time-adaptation"
new Gemini 3 Deep Think, Anthropic $30B @ $380B, GPT-5.3-Codex Spark, MiniMax M2.5
gemini-3-deep-think-v2 arc-agi-2 google-deepmind google geminiapp arcprize benchmarking reasoning test-time-adaptation fluid-intelligence scientific-computing engineering-workflows 3d-modeling cost-analysis demishassabis sundarpichai fchollet jeffdean oriolvinyalsml tulseedoshi
Google DeepMind is rolling out the upgraded Gemini 3 Deep Think V2 reasoning mode to Google AI Ultra subscribers and opening early access to the Vertex AI / Gemini API for select users. Key benchmark achievements include ARC-AGI-2 at 84.6%, Humanity’s Last Exam (HLE) at 48.4% without tools, and a Codeforces Elo of 3455, showcasing Olympiad-level performance in physics and chemistry. The mode emphasizes practical scientific and engineering applications such as error detection in math papers, physical system modeling, semiconductor optimization, and a sketch to CAD/STL pipeline for 3D printing. ARC benchmark creator François Chollet highlights the benchmark's role in advancing test-time adaptation and fluid intelligence, projecting human-AI parity around 2030. This rollout is framed as a productized, compute-heavy test-time mode rather than a lab demo, with cost disclosures for ARC tasks provided.