We have finally released the first MVP.
Stack Info now will serve the Egyptian tech community by showing tech stacks of more than 150 companies here in Egypt.
Brought to you from Cairo.
https://t.co/nqFNp4QdTQ
#WeAreStackInfo
Expect to see a lot more of this. Vibe coding, 3d printing, cheap motors, and boards (soon, after the Great Correction) WILL lead to a true cambrian explosion of robotics
Home-built robotics projects will be the new "my first weather/calendar app" entry point for "SWE" types
AI fixed the bug.
Did you learn from it?
Built Fixmind: a local MCP server that remembers what AI taught you.
Local-first.
No account.
No AI API.
npx fixmind setup
https://t.co/ZHaBX9o8cx
https://t.co/x7t8n0Qeu2 (3k+ weekly downloads already)
Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work.
https://t.co/OoM83SyISN
Adobe agreed to buy Figma for $20B.
Regulators refused to approve the deal, so Adobe walked away, and Figma went public.
Figma is now trading at a $8.90B valuation.
built a tiny rayban display app to view claude code's status
i can make myself some tea, vacuum or read a book when my agents are hard at it and address them when they need my attn
📣📣 Meet Qwen-AgentWorld — a native language world model that simulates 7 agent environments (MCP, Search, Terminal, SWE, Web, OS, Android) within a single model. Environment modeling is the training objective from day one, not a post-hoc adaptation.
🤔 LLMs are trained to be better agents — better at acting in environments. But nobody has trained them to model the environments themselves.
🗺️ Our roadmap: investigate how language world modeling can push the boundaries of general agent capabilities, along two routes:
1️⃣ Build a foundation model for environment simulation — outperforming Claude Opus 4.8 and GPT-5.4 on AgentWorldBench
2️⃣ Investigate how world modeling enhances agent training:
🔬 Controllable Sim RL (agentic RL with LWM as environments) surpasses training in real environments
🧠 Learning to predict environments (LWM warm-up) makes agents stronger — remarkably, even without any agent-specific training, this predictive knowledge transfers to agentic tasks with zero fine-tuning
📑 Paper: https://t.co/Jx2l5RKq71
📖 Blog: https://t.co/7tVcKyhsx2
💻 GitHub: https://t.co/B5Lvb1UZCn
🤗 HuggingFace: https://t.co/Kw3QBL1TM5
🧩 ModelScope: https://t.co/YBnGYgMWWI
Core AI: Realtime video image detection, tracking, and segmentation with SAM 3 and RF-DETR. All running on-device. I will share the code in the comments.
Apple just made Docker Desktop optional on Mac.
And it is completely free.
This is apple/container. 26.5k stars no Github.
You can now run Linux containers natively on your Mac without installing Docker Desktop, without a background daemon hogging your RAM, and without paying $21 a month per developer for a commercial license.
Here is what it does:
→ Runs Linux containers as lightweight VMs directly on Apple Silicon using macOS 26 virtualization
→ Fully OCI compatible. Pull any image from Docker Hub, GitHub Container Registry or anywhere else
→ Written in Swift and optimised specifically for Apple Silicon. Faster and lighter than anything Docker Desktop does on Mac
→ Standard container CLI syntax. If you know Docker commands you already know how to use this
→ Push images you build to any standard container registry and run them anywhere
Docker Desktop charges $21 per developer per month for commercial use. Apple's version costs nothing and ships as open source under Apache-2.0.
Microsoft made Docker Desktop optional on Windows with WSL Containers last month.
Apple just did the same on Mac.
Docker is not going anywhere. But the era of paying for a GUI wrapper around containers on your own machine is quietly ending.
Repo here: https://t.co/uFJ867sul6
Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.
Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.
Try it: https://t.co/hhO6qTawgb 🐡
Saw this today and wanted to redesign it.
Did a quick redesign in 40ish minutes. Definitely not perfect, but I think it’s a solid improvement over the current version.
Google is in free fall
This is the second VP of Engineering that left Google DeepMind this week
First, Noam Shazeer, Transformer and MoE pioneer
Today, nobel laureate John Jumper who basically built AlphaFold 1-3 and most recently also worked on AI coding at GDM
Big thanks to everyone who starred react-native-data-detector! 🎉
~230 ⭐️
~120 weekly npm downloads.
Native entity detection (phones, links, emails, dates, addresses) using real iOS NSDataDetector + Android ML Kit, no regex hacks.
Perfect for chat apps, forms & more.
Try it and share feedback! 👇