Short, fast updates on what’s trending right now
Anthropic launched Project Glasswing, a broad software security initiative with major partners including AWS, Google, Microsoft, NVIDIA, and the Linux Foundation to help secure critical software systems in the AI era.
OpenAI introduced a new Safety Fellowship focused on developing safety talent and practical research capacity, making it a useful program to watch for developers and researchers interested in real-world AI alignment work.
OpenAI added pay-as-you-go pricing for Codex teams, which lowers the barrier for smaller engineering groups that want to use AI coding workflows without committing to a larger fixed plan upfront.
Google outlined new options for balancing inference cost and reliability in the Gemini API, a useful update for teams trying to tune production AI workloads for both budget and latency.
Google published a roundup of its March 2026 AI updates, making it a useful catch-up post for anyone tracking Gemini, developer tooling, and broader AI product releases in one place.
Anthropic said it is expanding its partnership with Google and Broadcom to secure multiple gigawatts of next-generation compute, a notable signal for how rapidly frontier AI infrastructure demand is scaling.
OpenAI shared a closer look at how it develops and applies its Model Spec, which is useful context for developers who care about system behavior, safety defaults, and product policy shaping model responses.
Google highlighted how Gemini API Docs MCP and Agent Skills can improve coding-agent performance, making this a practical update for teams building agent workflows around documentation and task execution.
Fast rising crypto exchange, Zoomex has outlined its approach to liquidity and execution quality as artificial intelligence continues to reshape financial markets.
The cyber insurance market is experiencing a fascinating paradox. Small business owners are increasingly worried about AI. So much so that artificial intelligence has become the second biggest reason they’re buying cyber insurance.
As artificial intelligence reshapes global industry, a Davos-recognized entrepreneur is advancing a provocative thesis: that ethics cannot be added to AI after the fact — it must be built in from the first line of code.
The OpenClaw frenzy that spread throughout China is testing Beijing’s approach to artificial intelligence, as it seeks to balance the push for cutting-edge innovation against concerns over data security.
Route to multiple AI providers, track usage, optimize costs, and scale with confidence. OpenAI-compatible API for seamless integration.
The "Golden Library" of prompting just dropped. One place, every persona, zero cost. Stop guessing and start prompting with community-tested frameworks for: Dev & Tech: Act as a Linux Terminal, Python Interpreter, or SQL Console. Creative Arts: Expert-level Screenwriting, Debate, and Journalism. Career Growth: Resume Writing, Interview Prep, and 1-on-1 Mentorship. Whether you're using GPT-4o, Claude, or Gemini, these prompts are refined for maximum output. 100% Open Source.
Think your AI assistant needs a $2,000 rig? Think again. 🤯 Meet the assistant that runs on $10 hardware with less than 5MB of RAM. For perspective, that’s: 99% less memory than OpenClaw. 98% cheaper than a Mac Mini. Built with 100% Rust for maximum performance and zero bloat. This is what happens when you prioritize efficiency over hype.
A Go rewrite slashes memory to <10MB, delivers 1-second boot time, and makes startup 400× faster. Lightweight, efficient, and completely open source.
Just paste your repository link and CodeWiki transforms your entire project into structured docs, visual diagrams, guided walkthroughs, and a built-in AI chatbot that understands your codebase inside out.
VideoSOS can run 100+ AI models directly in your browser without cloud processing. It uses a massive stack including Veo 3.1, FLUX, Gemini 2.5 Flash, and Imagen 4, running locally on your hardware.
The cryptocurrency traded between $63,600 and $65,200 after slipping under $70,000 earlier Thursday, accelerating with $355 million liquidated in just one hour. he broader market lost roughly $2 trillion since its October 2025 peak, now around $2.3 to $2.6 trillion.
Anthropic tasked 16 instances of its Claude Opus 4.6 model with building a Rust-based C compiler named 'ccc' from scratch, using a shared Git repo and no external tools beyond Rust's standard library.
- API credits for early-stage startups (up to ~$25K) - Built by Anthropic (Claude) - No VC needed (unlike OpenAI) - Selection based on product + real Claude usage - Actually friendly to bootstrapped founders
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