US start-up Physical Intelligence has introduced π0.7, a new robot foundation model designed to recombine skills learned during training, similar to how a language model reassembles text fragments from its training data. The researchers describe this as early signs of "compositional generalization" in robotics.<br /> The article Physical Intelligence shows robot model with LLM-like generalization, flaws included appeared first on The Decoder. [...]
CES always has its share of attention-grabbing robots. But this year in particular seemed to be a landmark year for robotics. The advancement in AI technology has not only given robots better “brain [...]
This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it accompan [...]
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independent AI project, recent [...]