There’s something deeply satisfying about watching a 70-billion-parameter model run on hardware that was never supposed to handle it. That’s exactly what [ntransformer](https://github.com/xaskasdf/ntransformer) pulls off — Llama 3.1 70B on a single RTX 3090 with just 24GB of VRAM. No multi-GPU rigs, no cloud rentals, no $10k server builds. Just your gaming card and a… Continue reading

I’ve been keeping an eye on [Rork](https://rork.com/) for a while now, but what they just shipped with Rork Max is on a completely different level. It hit [#1 on Product Hunt](https://www.producthunt.com/products/rork-app-for-ios) on February 21st with 466 upvotes and 73 comments, and honestly, the hype is justified. Here’s what Rork Max actually does: you describe an… Continue reading

If you’ve been building anything serious with AI agents lately, you’ve probably run into the same ugly problem: agents crash, API calls time out, LLMs hit rate limits, and your carefully orchestrated workflow just… dies. That’s exactly the pain point [Temporal Technologies](https://temporal.io) has been quietly solving for years — and now the rest of the… Continue reading

I’ve been keeping a close eye on the AI IDE space for a while now, and honestly, things move so fast it’s hard to keep up. But [Windsurf’s Wave 13 update](https://windsurf.com/blog/windsurf-wave-13) — codenamed “Shipmas” — caught me off guard. Not because another AI coding tool shipped another update, but because this one actually introduced features… Continue reading

There’s been a growing frustration with AI assistants that want to slurp up all your data and send it off to some server you’ll never see. That’s what makes [Rowboat](https://www.rowboatlabs.com/) so interesting — it’s an open-source AI coworker that runs locally on your machine, and it just picked up over 2,500 GitHub stars in a… Continue reading

There’s no shortage of platforms claiming you can build AI agents without writing code. Most of them hand you a fancy drag-and-drop canvas, a JSON config, and then leave you to figure out the last 80% on your own. [Architect by Lyzr](https://www.lyzr.ai/) actually tries to close that gap, and from what I’ve seen so far,… Continue reading

So Google quietly pushed out a new feature on February 19th and it’s already stirring up drama. [Photoshoot](https://blog.google/innovation-and-ai/models-and-research/google-labs/pomelli-photoshoot/), the latest addition to Google Labs’ free AI marketing tool Pomelli, lets you upload a single product photo and spits out multiple professional-looking shots — studio lighting, floating product, ingredient breakdowns, lifestyle scenes with AI-generated models, the… Continue reading

So I woke up this morning, checked GitHub Trending like I always do, and there it was — [PentAGI](https://github.com/vxcontrol/pentagi) sitting right at the top with over 1,300 new stars in a single day. That kind of spike doesn’t happen often, so naturally I had to dig in. PentAGI is a fully autonomous AI agent system… Continue reading

So Anthropic just made a pretty big move. Yesterday they officially launched [Claude Code Security](https://www.anthropic.com/news/claude-code-security), their first dedicated cybersecurity product, and honestly, the early results are kind of wild. Here’s what caught my attention. This thing isn’t another static analysis tool that matches patterns against a list of known bad code. It’s built on Opus… Continue reading

If you’ve been anywhere near the local AI scene, you already know that [llama.cpp](https://github.com/ggml-org/llama.cpp) is basically the backbone of running models on your own hardware. So when Georgi Gerganov — the person who started it all — [announced](https://huggingface.co/blog/ggml-joins-hf) that the entire GGML team is officially joining Hugging Face, it felt less like a surprise and… Continue reading