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MIT researchers teach AI models to learn from their own notes

Large language models already read, write, and answer questions with striking skill. They do this by training on vast libraries of text. Once that training ends, though, the model’s knowledge largely ...
Researchers have successfully trained a new AI foundation model capable of predicting medical conditions using Apple Watch data.
When Liquid AI, a startup founded by MIT computer scientists back in 2023, introduced its Liquid Foundation Models series 2 (LFM2) in July 2025, the pitch was straightforward: deliver the fastest ...
Liquid AI, a startup pursuing alternatives to the popular "transformer"-based AI models that have come to define the generative AI era, is announcing not one, not two, but a whole family of six ...
Some companies are working to remedy the issue. Some AI chatbots rely on flawed research from retracted scientific papers to answer questions, according to recent studies. The findings, confirmed by ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
A new study from MIT's NANDA initiative has found that 95% of generative AI pilots fail to deliver measurable ROI for companies – a failure rate rooted not in flawed models but in poor integration and ...
Robots have long been the backbone of manufacturing—welding car frames, assembling electronics and executing repetitive tasks with machine-like precision. But outside the structured walls of factories ...
How much do foundation models matter? It might seem like a silly question, but it’s come up a lot in my conversations with AI startups, which are increasingly comfortable with businesses that used to ...