What Is Google DeepMind? The AI Lab Behind Gemini and AlphaFold
Google DeepMind is Alphabet's AI research lab — the team behind AlphaGo, AlphaFold, and the Gemini model family. Here's what it is and how it formed.
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Google DeepMind is Alphabet's AI research lab — the team behind AlphaGo, AlphaFold, and the Gemini model family. Here's what it is and how it formed.
Read more →China's Moonshot AI released Kimi K3, a 2.8-trillion-parameter open model with a 1-million-token context window — a system the company calls the world's first open 3-trillion-class AI model.
Read more →Demis Hassabis called for a US-led, industry-funded body to test frontier AI models before release, arguing AGI is now only a few years away.
Read more →AI model collapse happens when generative models repeatedly train on AI-generated data, gradually erasing rare facts, minority voices, and diversity from their output.
Read more →PrismML has released Bonsai 27B, a 27-billion-parameter open-weight model compressed to under 4GB, small enough to run natively on a phone while keeping most of its reasoning ability.
Read more →Mira Murati's startup released Inkling, a 975-billion-parameter open-weight model built for developers to fine-tune and adapt, rather than to top leaderboards.
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Synthetic data — information generated by AI itself rather than collected from the real world — is quietly becoming a core ingredient in how AI models are trained.
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AI labs are offering researchers pay packages worth hundreds of millions of dollars. Here's why the fight for talent has gotten this extreme, and what it means for everyone else.
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AI models now help scientists find and design new drug candidates in weeks instead of years. Here's what AI drug discovery is and how it actually works.
Read more →Chai Discovery, an AI startup that designs antibodies and other molecules from scratch, raised a $400 million Series C led by Index Ventures at a $3.8 billion valuation.
Read more →Over 200 economists and AI researchers, including 16 Nobel laureates, signed a Stanford-organized statement warning that AI's economic impact could outpace society's ability to adapt.
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DeepSeek is the Chinese AI lab whose cheaply trained, open-weight models triggered Nvidia's biggest one-day stock drop and reshaped how the industry talks about AI costs.
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Generative AI creates new text, images, audio, and code by learning patterns in data, instead of just sorting or predicting like older AI systems. Here's how it actually works.
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RLHF is the training step that turns a raw language model into a helpful chatbot, using human rankings of its answers to teach it what a good response looks like.
Read more →Constitutional AI is Anthropic's method for training Claude to follow a written set of principles by critiquing its own answers, instead of relying mainly on human-labeled examples.
Read more →AI alignment is how developers make a model's behavior match human intent, not just its instructions. The same techniques used for safety can also be used to restrict what a model will say.
Read more →A paper honored at ICML 2026 argues that AI alignment techniques such as RLHF and Constitutional AI can double as tools for state censorship and political control.
Read more →The AI productivity paradox is the gap between how transformative AI seems and how little that shows up in official productivity statistics — a pattern economists first saw with computers.
Read more →When an AI claims to have proved a hard theorem, mathematicians don't just take its word for it. Here's how proof verification actually works, and why it matters.
Read more →OpenAI says its GPT-5.6 Sol Ultra model produced a proof of the 50-year-old Cycle Double Cover Conjecture in under an hour, but mathematicians warn full verification will take weeks.
Read more →Teleoperated humanoid robots completed two live surgeries in a UC San Diego trial, a Nature study shows — a preclinical step toward cheaper, more portable alternatives to today's surgical robots.
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