I honestly didn’t think I’d be writing about an AI model making a genuine contribution to theoretical physics anytime soon. Yet here we are. On February 13, OpenAI dropped a [blog post](https://openai.com/index/new-result-theoretical-physics/) announcing that GPT-5.2 had derived a brand new result in particle physics — and it’s not some toy problem or a repackaging of… Continue reading

Alibaba picked the perfect moment to launch [Qwen 3.5](https://qwenlm.github.io/). Right before Chinese New Year, when every AI company in China is scrambling for attention, they dropped their next-gen open-source multimodal model — and then threw 3 billion yuan (roughly $420 million) in subsidies on top of it just to make sure nobody could look away.… Continue reading

I’ve seen plenty of “type a prompt, get a video” tools come and go. Most of them produce something that looks like a slideshow with transitions at best. So when [Lunair](https://www.lunair.ai/) popped up on [Product Hunt today](https://www.producthunt.com/) and racked up 364 votes, I was curious but skeptical. After spending some time with it, I have… Continue reading

So Google DeepMind quietly dropped something pretty wild on February 12th. It’s called [Aletheia](https://deepmind.google/blog/accelerating-mathematical-and-scientific-discovery-with-gemini-deep-think/), and it’s not just another AI that can ace math competitions. This thing is actually doing *research-level* mathematics on its own — the kind of work that used to require PhD-level expertise and years of effort. Here’s the deal. Aletheia is… Continue reading

If you’re building anything with LLMs right now, you probably know the pain. You’ve got OpenAI keys, Anthropic keys, Google keys, maybe DeepSeek too — and suddenly you’re managing a mess of API endpoints, juggling rate limits, and praying that one provider doesn’t go down at 2 AM on a Friday. That’s exactly the problem… Continue reading

If you’ve spent any time with AI coding agents lately — Claude Code, Codex, Cursor, whatever your flavor — you know the drill. You kick off a task, tab over to Slack or Reddit, and then completely forget your agent finished three minutes ago. Or worse, it’s been sitting there waiting for permission while you’re… Continue reading

So [nineninesix.ai](https://www.nineninesix.ai/) quietly released Kani-TTS-2 today, and honestly, I think this one deserves way more attention than it’s getting. It’s a 400M parameter open-source text-to-speech model that runs on as little as 3GB of VRAM. That means your old RTX 3060 sitting in a drawer? Yeah, that works. No cloud GPU rental needed, no waiting… Continue reading

If you’ve been anywhere near the AI coding space in the past year, you’ve probably bumped into [Cline](https://github.com/cline/cline). The open-source VS Code extension has quietly built up a massive following — over 5 million developers, 57K+ GitHub stars, and the title of fastest-growing AI open-source project by contributors on GitHub Octoverse. So when the team… Continue reading

I’ve been keeping an eye on the local-first AI assistant space for a while, and most projects in this area feel like duct-taped Python scripts held together by prayers and pip install. So when [Moltis](https://www.moltis.org/) popped up on [Hacker News](https://news.ycombinator.com/item?id=46993587) yesterday and quickly climbed to 118 points, I had to look into it. Here’s the… Continue reading

If you’ve been building anything with LLMs in React, you’ve probably hit the same wall I did — the AI spits out a block of text, and then you’re stuck figuring out how to turn that into something your users can actually interact with. That’s exactly the problem [Tambo](https://tambo.co/) solves, and honestly, it’s one of… Continue reading