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Google releases Gemma 4 open models(deepmind.google)
1705 points by jeffmcjunkin | 450 comments
Google DeepMind product page announcing Gemma 4, a family of open models built from Gemini 3 research, with links to docs and Google AI Studio.
Can Demis Hassabis save Google?(bigtechnology.com)
105 points by laurex | 102 comments
Related stories
AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)
343 points by saikatsg | 242 comments
Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.
AI has access to a vastly larger working memory than the human brain(davidepiffer.com)
524 points by rzk | 452 comments
A Substack essay by Davide Piffer arguing that AI's edge over mathematicians comes from a vast symbolic working memory rather than superior reasoning.
Recent AI models struggled to match a human algorithmic innovation(epoch.ai)
85 points by merksittich | 64 comments
Epoch AI report by David Owen presenting InnovationEval, finding early evidence that AI models cannot yet automate AI R&D or match human algorithmic innovation.
Google is making private AI practical with homomorphic encryption(blog.google)
473 points by u1hcw9nx | 276 comments
Google Security blog post by Jeremy Kun on how Google is using homomorphic encryption to make privacy-preserving AI practical.
Google is winning on every AI front(thealgorithmicbridge.com)
847 points by vinhnx | 687 comments
A paid Algorithmic Bridge Substack post by Alberto Romero arguing that Google is ahead of OpenAI and Anthropic across every front of AI.
AI tools are spotting errors in research papers(nature.com)
555 points by kgwgk | 200 comments
Nature news article on a growing movement using AI and large language models to detect errors in research papers, sparked by a flawed black plastic utensils study.












