This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. In an industry that doesn’t stand still, Stanford’s AI Index, an annual roundup of key results and trends, is a chance to take a breath. (It’s a marathon, not a sprint, after…
If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise. …
Cloudflare brings OpenAI’s GPT-5.4 and Codex to Agent Cloud, enabling enterprises to build, deploy, and scale AI agents for real-world tasks with speed and security.
Google, my favourite tech firm for reasons exactly as this one, has done it once again. It has got the worldwide community of developers supercharged with one new product. This one is called Gemma 4. What’s the hype? Well, a completely open-source model that competes with AI models 20 times its size. And this one […]
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If you've ever watched two agents confidently write to the same resource at the same time and produce something that makes zero sense, you already know what a race condition feels like in practice.
If you have worked with retrieval-augmented generation (RAG) systems, you have probably seen this problem.
A couple of years ago, most machine learning systems sat quietly behind dashboards.