agent
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Claude Dispatch Lets You Text Your Desktop AI From Anywhere — But There’s a Catch
Anthropic shipped Claude Dispatch on March 17, turning the Claude mobile app into a remote control for your Mac’s Cowork agent. Send a message from your phone, and Claude gets to work on your desktop — pulling files, querying databases, building reports. When it’s done, you get a notification. The idea is simple: your AI… Continue reading
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OpenAI Parameter Golf: $1M in Compute Credits for Squeezing a Language Model Into 16MB
OpenAI just launched a public competition that feels more like a hacker challenge than a corporate event. The premise is deceptively simple: build the best language model you can, but it has to fit — code, weights, and all — into 16 megabytes. That’s smaller than most smartphone photos. And your total training budget? Ten… Continue reading
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NVIDIA NemoClaw Launches With 17 Enterprise Partners to Secure OpenClaw for Production
OpenClaw broke every record on GitHub. Over 321,000 stars. Surpassed React’s decade-long reign in just 60 days. The fastest-growing open-source project in the platform’s history. But there was always a catch — a big one that kept enterprise IT departments awake at night. Security. OpenClaw, for all its viral success, was never built for production… Continue reading
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Tempo Machine Payments Protocol: $500M, 100+ Partners, and a Bold Play to Own the AI Agent Economy
AI agents can write code, book flights, and analyze legal contracts. But ask one to pay for a $0.002 API call, and it falls apart. That gap — between what agents can do and what they can spend — is exactly what Tempo’s Machine Payments Protocol (MPP) is designed to close. On March 18, 2026,… Continue reading
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From 739K to 15K Tokens: How code-review-graph Slashes Claude Code Costs with a Local Knowledge Graph
If you’re running Claude Code on anything bigger than a hobby project, you already know the pain: token bills that climb fast because the AI insists on reading files it doesn’t need. A new open-source tool called code-review-graph attacks this problem at the structural level — and the benchmarks are hard to ignore. Built by… Continue reading
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A 1-Trillion-Parameter AI Model Appeared on OpenRouter With No Name Attached — So Who Built Hunter Alpha?
On March 11, 2026, a model called Hunter Alpha quietly showed up on OpenRouter. No press release. No blog post. No company logo. Just a listing with absurd specs — 1 trillion parameters, a 1-million-token context window, and zero cost — sitting there like someone left a supercar in a parking lot with the keys… Continue reading
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Tsinghua Tested an AI Classroom on 500+ Students — Now OpenMAIC Is Open Source and Trending
Online education has a problem nobody wants to admit: most of it is just watching someone talk at a screen. MOOCs promised to democratize learning, but a decade in, the format still boils down to pre-recorded lectures, static quizzes, and completion rates that rarely crack 10%. Tsinghua University thinks the fix isn’t better video —… Continue reading
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From Ukrainian Battlefields to Nasdaq: Swarmer’s 700% IPO Debut Explained
A drone software company with $310K in annual revenue just hit a $500 million market cap on its first day of trading. On March 17, 2026, Swarmer Inc. (NASDAQ: SWMR) priced its IPO at $5 per share, opened at $12.50, peaked near $40, and closed at $31 — a 520% gain that Bloomberg called the… Continue reading
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Unsloth Studio Brings No-Code LLM Fine-Tuning to Your Laptop — 2x Faster, 70% Less VRAM
Fine-tuning large language models has always been a two-part problem: you need the technical know-how to write training scripts, and you need the GPU muscle to actually run them. Unsloth Studio, which officially launched on March 17, 2026, is a direct attack on both. It’s an open-source, local web UI that lets you train, run,… Continue reading
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Mistral Forge Wants Enterprises to Stop Renting AI and Start Building Their Own
Most enterprise AI today works like a lease agreement. You send your data to someone else’s model, get predictions back, and hope the black box does what you need. Fine-tuning helps at the margins. RAG bolts on some domain knowledge. But the foundation — the model itself — remains someone else’s product, trained on someone… Continue reading
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