So OpenAI just quietly dropped something interesting — and no, it’s not another GPT model. It’s called [Symphony](https://github.com/openai/symphony), an open-source agentic coding framework that takes a fundamentally different approach to how we work with AI coding agents. The core idea is pretty straightforward but powerful: instead of sitting there watching an AI agent write code… Continue reading

Google Search has been quietly changing what it means to “search for something,” and the latest move might be the most interesting yet. As of March 4, 2026, [Gemini Canvas in AI Mode](https://gemini.google/overview/canvas/) is now available to all U.S. English users — no more Labs opt-in, no waitlist, just open Google Search and go. The… Continue reading

There’s a certain kind of project that makes you stop scrolling and think “wait, why didn’t this exist already?” [OculOS](https://github.com/huseyinstif/oculos) is one of those. It’s a tiny Rust daemon — around 3 MB — that reads your operating system’s accessibility tree and turns every button, text field, checkbox, and menu item on your screen into… Continue reading

Google quietly dropped [Gemini 3.1 Flash-Lite](https://deepmind.google/models/model-cards/gemini-3-1-flash-lite/) on March 3rd, and honestly, the pricing alone made me do a double-take. We’re talking $0.25 per million input tokens and $1.50 per million output tokens. That’s one-eighth the cost of Gemini 3.1 Pro. For bulk workloads like translation, content moderation, or e-commerce processing, those numbers start to matter… Continue reading

If you’ve been using coding agents like Claude Code or OpenAI Codex and constantly wondering “am I doing this right?”, Simon Willison just dropped exactly what you need. His [Agentic Engineering Patterns](https://simonwillison.net/guides/agentic-engineering-patterns/) guide is a growing collection of hard-won patterns for actually getting good results out of these tools, and it’s blowing up across the… Continue reading

If you’ve ever spent twenty minutes untangling a merge conflict that shouldn’t have been a conflict at all, you already know the pain [Weave](https://github.com/Ataraxy-Labs/weave) is trying to solve. Two developers add separate functions to the same file, and Git loses its mind because the line ranges overlap. It’s 2026, and we’re still dealing with this.… Continue reading

If you’ve been following the LLM inference optimization space at all, you know speculative decoding is table stakes at this point. A small draft model guesses tokens, a big model verifies them in a batch — it works, and it’s everywhere. But here’s the thing that always bugged people: the drafting and the verification still… Continue reading

If you haven’t seen it yet, Donald Knuth — yes, *that* Knuth, the man behind *The Art of Computer Programming* and TeX — just published a paper called [“Claude’s Cycles”](https://www-cs-faculty.stanford.edu/~knuth/papers/claude-cycles.pdf), and it opens with the words “Shock! Shock!” That alone should tell you something unusual happened. Here’s the backstory. Knuth had been grinding on an… Continue reading

If you’ve ever had ChatGPT respond to a simple question with “Stop. Take a breath.” like some kind of unsolicited therapist, you know exactly what this update is about. OpenAI just rolled out [GPT-5.3 Instant](https://openai.com/index/gpt-5-3-instant/), the latest default model powering ChatGPT, and the headline improvement is refreshingly honest: they made it less annoying. The preachy… Continue reading

If you’ve been anywhere near AI Twitter in the past week, you’ve probably seen people losing their minds over Sakana AI’s latest drop. And honestly? The hype is warranted this time. [Doc-to-LoRA and Text-to-LoRA](https://sakana.ai/doc-to-lora/) are two closely related research projects out of Tokyo-based Sakana AI, and they tackle one of the most annoying bottlenecks in… Continue reading