… During a briefing, Ashley Alexander, OpenAI’s vice president of health product, says the company’s models “are now capable of reasoning at levels that are better than clinician level.” When asked for more information about how the performance of OpenAI’s models stacks up against human clinicians, O… …
… The model is supposed to have significantly better coding capabilities than Gemini 3, which was released to great fanfare last November. It’s clearly intended to leapfrog updates from Anthropic, which is known for its coding prowess, and OpenAI. …
… And now that we can co-design our own models with it, the MAI-Thinking-1 model that we’ve just released actually delivers 1.4x performance per watt improvement on top of the 30 percent improvement that you get from running on a Maia 200 once we co-optimize the models for our tasks. …
… We’re genuinely happy to see you go.” Jay Peters May 15 OpenClaw now works better with OpenAI models and Codex. As part of a new release, “your ChatGPT subscription can now power an OpenClaw agent that feels much closer to the model it is built on,” OpenAI’s Nik Pash says in a blog post . …
… Does Magic Layers happen on your models or are you going out? Yeah, that’s certainly our models. That’s really cool. When you’ve made the decisions to invest in your own models versus going out to other providers, is there a cost performance ratio? …
… So these models just continue to get better and better over time. That’s at the foundational model level. We don’t really operate at that level. We build applications that utilize these foundational models. …
… When you say “think,” is it the models thinking or is it the people making the models thinking? The people designing those models. How are they building out, what is the veracity of the data source that they use to train the models? …
… But the OpenAI play — and the pivot to AI generally — suggests a specific vision: The key place to make money isn’t training foundation models. The real money is inference, or using AI models to output results on data that isn’t in the training set. …