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YouTube • 11m
8 things you should know about AlphaEvolve DeepMind’s next-gen AI researcher: 1. Built with Gemini LLMs at its core 2. Evolves + evaluates ideas like a scientist 3. Cracked a 50-year-old math problem 4. Improved AI chip design at Google 5. Saved 0.7% compute across workloads 6. Combines reasoning + search + evolution 7. Outputs peer-review-quality solutions 8. A major step toward general-purpose scientific AI
Startups | AI | info... • 11m
Google DeepMind just dropped AlphaEvolve‼️ A Gemini powered coding agent that evolves algorithms and outperforms AlphaTensor. It delivers: — 23% matrix speedup — 32.5% GPU kernel boost — 0.7% global compute recovery Using Gemini Flash + Pro, it re
See MoreHey I am on Medial • 1y
Google is revolutionizing science with an AI “co-scientist” powered by Gemini, designed to assist researchers in generating hypotheses and research plans. This system analyzes scientific literature, extracts key information, and aids in experiment
See Morebuilding hatchup.ai • 1y
Kai Chen, a Canadian AI researcher at OpenAI who contributed significantly to the development of GPT-4.5, has been denied a U.S. green card despite living and working in the country for 12 years, according to OpenAI research scientist Noam Brown. The
See MoreBuilding JalSeva and... • 1y
How NVIDIA’s Blackwell platform and its role in transforming AI infrastructure 1. Open Compute Project Collaboration: NVIDIA is sharing components of its Blackwell platform with OCP, aiming to align its AI infrastructure with open and scalable stand
See MoreStudent of Computer ... • 8m
“AI in 2025 isn’t just smarter It’s alive with possibilities.” Robots that fold origami, AI that writes new algorithms never seen before, and digital agents that can work completely on their own… This isn’t science fiction anymore. Here are the 3 w
See MoreFounder | Agentic AI... • 1m
Something big is shifting in database architecture. And most people haven’t noticed yet. For years, databases followed the same assumption: storage and compute lived together. Scaling meant larger machines, careful capacity planning, and migrations
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