Microsoft CEO Satya Nadella is calling out OpenAI and Anthropic for what he calls a "reverse information paradox." They train on public data under fair use but ban distillation of their own models, all while learning from customer interactions. Nadella wants companies to control their own learning infrastructure. Microsoft, of course, sells exactly that.<br /> The article Nadella calls out AI labs like OpenAI and Anthropic for banning distillation while training on everyone else's data appeared first on The Decoder. [...]
Anthropic dropped a bombshell on the artificial intelligence industry Monday, publicly accusing three prominent Chinese AI laboratories — DeepSeek, Moonshot AI, and MiniMax — of orchestrating coor [...]
Microsoft CEO Satya Nadella published a sweeping essay on Sunday laying out what he describes as the defining economic challenge of the AI era: the risk that a handful of frontier models will absorb t [...]
One of the leading architects of the current generative AI boom — Microsoft CEO Satya Nadella, famed for having the software giant take an early investment in OpenAI (and later saying he was "g [...]
Anthropic today launched two new AI models — Claude Fable 5 and Claude Mythos 5 — marking the company’s first broad release of the powerful “Mythos-class” AI capabilities it previously kept [...]
Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]
In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, a [...]
Anthropic today launched Claude Design, a new product from its Anthropic Labs division that allows users to create polished visual work — designs, interactive prototypes, slide decks, one-pagers, an [...]
Microsoft and OpenAI on Monday announced a sweeping overhaul of the partnership that has defined the commercial AI era, dismantling key pillars of exclusivity and revenue-sharing that bound the two co [...]