There’s something deeply entertaining about watching large language models try to outsmart each other in a strategy game. [LLM Skirmish](https://llmskirmish.com/) takes that idea and runs with it — it’s a benchmark platform where frontier LLMs go head-to-head in 1v1 real-time strategy matches by writing actual JavaScript code that controls units on a battlefield. Think Screeps,… Continue reading

There’s a new breed of developer tool quietly gaining traction, and [Emdash](https://www.emdash.sh/) might be the most interesting one I’ve come across recently. Fresh out of [Y Combinator’s W26 batch](https://www.ycombinator.com/companies/emdash), it popped up on [Show HN](https://news.ycombinator.com/item?id=47140322) on February 24th and racked up 198 points with 70+ comments — clearly hitting a nerve with the dev community.… Continue reading

Okay, so hear me out — what if, instead of building yet another massive data center in the middle of nowhere and fighting over grid power, you just… launched your servers into space? That’s exactly what [Sophia Space](https://sophia.space) is betting on, and after their [$10M seed round](https://spacenews.com/sophia-space-claims-10-million-in-seed-round/) closed on February 24, a lot of people… Continue reading

I’ve been waiting for something like this for a long time. Google just announced that [Gemini can now automate multi-step tasks on Android](https://techcrunch.com/2026/02/25/gemini-can-now-automate-some-multi-step-tasks-on-android/), and honestly, it feels like a turning point. Not the “AI can summarize your emails” kind of turning point — the “AI literally opens apps and taps buttons for you” kind. Here’s… Continue reading

I’ve been using OpenCode as my daily driver for a while now — it’s fast, it’s open source, and with over 110k stars on GitHub, it’s clearly struck a nerve. But here’s the thing: running a single agent in a terminal only gets you so far. That’s where [oh-my-opencode](https://github.com/code-yeongyu/oh-my-opencode) comes in, and honestly, it’s one… Continue reading

There’s a certain thrill when you find an open-source project that makes you rethink what’s possible on cheap hardware. [Moonshine Open-Weights STT](https://github.com/moonshine-ai/moonshine) is exactly that kind of project. Built by [Useful Sensors](https://usefulsensors.com/) — the company led by Pete Warden, former TensorFlow lead at Google — Moonshine is a family of speech-to-text models designed to run… Continue reading

If you’ve been paying any attention to the marketing tech space lately, you’ve probably seen [Profound](https://www.tryprofound.com) popping up everywhere. And for good reason — the company just closed a [$96 million Series C](https://fortune.com/2026/02/24/exclusive-as-ai-threatens-search-profound-raises-96-million-to-help-brands-stay-visible/) at a $1 billion valuation, hitting unicorn status just 18 months after being founded. That’s an absurdly fast trajectory, and it tells… Continue reading

So Zhipu AI quietly released [GLM-5](https://huggingface.co/zai-org/GLM-5) on February 11th, and honestly, this thing deserves way more noise than it’s getting in the Western AI bubble. We’re talking about a 744-billion-parameter Mixture-of-Experts model with 40B active parameters per token, fully open-sourced under the MIT license. Yes, MIT — the “do whatever you want with it” license.… Continue reading

If you’ve spent any time scraping the web with Python, you know the pain. You write your selectors, everything works great, and then the site updates its layout and your entire pipeline breaks at 3 AM. [Scrapling](https://github.com/D4Vinci/Scrapling) is built to solve exactly that problem, and with the [v0.4 release](https://github.com/D4Vinci/Scrapling/releases/tag/v0.4), it’s gotten seriously impressive. The core… Continue reading

There’s a new model making noise on [Hacker News](https://news.ycombinator.com/item?id=47144464) right now, and for once, the hype might actually be warranted. [Mercury 2](https://www.inceptionlabs.ai/blog/introducing-mercury-2), built by a startup called Inception Labs, is claiming 1,000+ tokens per second throughput — roughly 5x faster than the speediest LLMs out there. But the really interesting part isn’t the raw numbers.… Continue reading