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OpenAI executives have considered accusing Microsoft of anticompetitive behavior as tensions escalate over the AI startup's $3 billion acquisition of Windsurf, whose coding IP OpenAI wants to keep from Microsoft's GitHub Copilot. The standoff highlights OpenAI's struggle to reduce its dependence on Microsoft's cloud services while still needing the tech giant's approval to complete its for-profit conversion.
The one-year deal marks OpenAI's first public Defense Department contract and follows similar moves by rival lab Anthropic and the weapons-maker Anduril, which recently signed a $100 million contract.
Powerful AI coding tools are shifting developers from writing code to architecting solutions and crafting precise problem descriptions. Feeding Claude ASCII sequence diagrams of OAuth flows or entire DOM trees from Chrome DevTools turned one developer's 45-minute debugging sessions into 10-minute fixes. However, AI amplifies both strengths and misconceptions—it'll confidently help you implement terrible architecture faster than ever before.
The lead of model behavior and policy at OpenAI outlines the company's approach to managing the increasingly emotional connections users form with ChatGPT. While AI consciousness remains scientifically unknowable, OpenAI wants to avoid encouraging users to perceive models as sentient without evidence to support it. Its goal is to create a model that's warm and approachable that doesn't claim to have an inner life.
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Prompts are now an API primitive on OpenAI's services. Developers can now centrally manage, version, and optimize prompts across the Playground, API, Evals, and Stored Completions. Prompts can be preconfigured with tools, models, and messages. The change was designed to help developers refine and reuse prompts better and faster.
Nanonets-OCR-s is a state-of-the-art image-to-markdown OCR model that goes far beyond traditional text extraction. The model can transform documents into structured markdown with intelligent content recognition and semantic tagging. It understands document structure and content context and can deliver intelligently formatted markdown output ready for downstream processing by large language models. Nanonets-OCR-s can recognize LaTeX equations, intelligently describe images, detect and isolate signatures, extract watermarks, handle checkboxes, and extract complex tables.
CoRT post‑trains large reasoning models with hint engineering so they can delegate calculations to external code interpreters.
TreeRL uses on‑policy tree search and intermediate supervision to train LLMs without a separate reward model, delivering stronger math and code reasoning than ChainRL.
Groq's low‑latency hardware is now a selectable inference provider on the Hub and SDKs, adding fast serverless access to models like Llama 4 and Qwen 32B.
A Gallup survey found that 40% percent of U.S. employees now use AI at work, with white-collar workers driving adoption. Technology workers lead with 50% frequent AI use while production and frontline workers remain stuck at 9%.
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Character AI outlined a new framework that scores conversational storytelling by combining creative writing heuristics with objective metrics to judge pacing, engagement, and fun.
This site contains an open-source database of AI models that lists AI model specifications, pricing, and capabilities.
TikTok's Symphony platform will now generate videos of virtual avatars modeling products and trying on clothes, potentially replacing human influencers.
AstraZeneca will pay $110 million upfront for CSPC to use AI-driven research to discover small molecule therapies, including an oral treatment for immunological diseases.