
Microsoft pitched its own homegrown AI models, harnesses, and even a Mythos competitor on Wednesday, telling Wall Street it plans for continued growth.
Microsoft holds stakes in two major AI companies, OpenAI and Anthropic, while also operating as a massive cloud provider and software company. As these AI labs develop applications and infrastructure that could let them control direct customer relationships, Microsoft's financial incentives are clashing with its investments in them. The company's leadership has begun publicly pitching Microsoft's own AI models, agents, and services as safer alternatives, arguing that enterprises should avoid depending too heavily on any single frontier model to protect their data and maintain flexibility. This represents a shift toward open competition between Microsoft and the AI labs it partially owns.

Long-running agents accumulate state that no transcript captures. A coding agent at step 10 holds edited files, a running dev server, installed packages, and a warm prompt cache. When it misreads a traceback and rewrites a file that was already correct, neither available recovery path is cheap: patching forward grows the context and the token bill, and restarting from step one re-pays every model and tool call while reproducing nothing exactly, because runs are non-deterministic. Jumping back t

New AI toolbars and prompts are showing up in Google Docs and Gmail. If you don’t want Gemini’s help in writing documents and emails, here’s how to turn that stuff off.

In October 2025, a storm brewed over the Caribbean Sea. Weather models differed on its trajectory. Would it remain weak and end up in Haiti, or would it intensify and head to Jamaica? Artificial intelligence model WeatherNext, developed by Google’s DeepMind and Google Research, went with the latter. Five days before landfall, it predicted with 80 percent confidence that the storm system would hit Jamaica as a Category 5 hurricane. Hurricane Melissa was catastrophic, causing flooding and landslid
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