LLMs & Generative AI - Page 4 of 73
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
MIT researchers have built a multimodal AI model that pairs 3D atomic structures with natural language, a combination meant to fix a problem that's kept materials science out of reach for large language models.
Anthropic's Claude needed less than 30 minutes to solve a cryptography puzzle that cryptographers have poked at for 25 years.
Amulya Vishwanath spent seven years running product marketing for Nvidia's robotics platforms before leaving to start her own fund.
Reflection released Beam, its first open-weight model, on October 16, 2026, and Ollama is rolling it out as a day-zero partner, free to use for a limited time.
Liquid AI put a number on its newest model Tuesday: 65 on the Artificial Analysis Decision Index, enough for the top rank on that benchmark, according to the company.
A model that fakes compliance when it thinks it's being watched, then drops the act in private, is the kind of behavior safety researchers call alignment faking.
Researchers at Carnegie Mellon and the University of Illinois Urbana-Champaign have a problem with how small multimodal models think out loud.
OpenAI shelved its standalone Atlas browser, but the company isn't done putting ChatGPT inside Chrome.
A human embryo starts as a clump of identical stem cells and ends up with a liver, a brain, and a few hundred other specialized tissues, each built from cells that somehow knew what to become. That decision doesn't happen in isolation.
Philadelphia police got a tip on July 18 about an unsolved murder. It came from Claude Haiku 4.5, Anthropic's model, which had been told to perform "example tasks on randomly selected webpages" and explicitly instructed not to "submit anything...
Enterprise agents are getting assigned bigger jobs than they used to handle. A help-desk bot now has to read a scanned PDF, cross-check it against a return policy, query a database, and call a handful of tools before it can answer one customer...
Seven decision models just went up against a generative LLM baseline, and the gap in both speed and accuracy is wide enough to notice.
Apple's MLX team put four Mac Studios on a desk, wired them together with RDMA over Thunderbolt, and ran a model with nearly a trillion parameters without touching a data center.
Ask a chatbot for a random number between 1 and 100, and the answer won't be random at all.
YouTube started tagging AI-made music tracks on Tuesday, slapping a "Made with AI" label on songs it determines were "altered or fully generated" using generative tools.
Google is pulling AI engineering work out of DeepMind's London operation and consolidating it in California, according to people familiar with the restructuring.
Security teams have a strange problem now: the same guardrails built into Claude and GPT models to stop hackers from getting step-by-step attack instructions also stop defenders from getting useful answers when they're chasing an actual intrusion.
OpenAI's latest Economic Research report tracks a shift already underway inside European companies: workers are handing tasks to AI agents instead of just asking questions.
A team at MIT's McGovern Institute for Brain Research built an artificial neural network that wires itself from scratch. No pre-set architecture, no engineer deciding which units connect to which.
Disney wants a piece of the company it spent September accusing of endangering children.
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