
Inside GitHub's Fake Star Economy
Six million fake stars, $0.06 per click, and a VC funding pipeline that treats GitHub popularity as proof of traction. We ran our own analysis on 20 repos and found the fingerprints.
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Six million fake stars, $0.06 per click, and a VC funding pipeline that treats GitHub popularity as proof of traction. We ran our own analysis on 20 repos and found the fingerprints.

Arcee AI ships Trinity-Large-Thinking, a 398B sparse MoE reasoning model under Apache 2.0 that hits 91.9% on PinchBench for $0.85 per million output tokens on OpenRouter.

Alibaba's Qwen3.5-Omni handles audio, video, images, and text in a single model pass - and generates speech in real time. The Plus variant hits SOTA on 215 benchmarks and edges out Gemini 3.1 Pro on audio tasks.

Shopify's free, MIT-licensed AI Toolkit connects Claude Code, Cursor, and Gemini CLI directly to live store data, giving agents real-time access to API schemas, documentation, and store execution.

Microsoft released the Agent Governance Toolkit, a seven-package open-source system that enforces policies on autonomous AI agents at sub-millisecond latency and covers all 10 OWASP agentic risks.

Rankings of AI models on IFEval and IFBench, the two main benchmarks for measuring how reliably LLMs follow precise formatting, length, and content constraints.

LG AI Research released EXAONE 4.5, a 33B open-weight vision-language model that posts higher STEM scores than GPT-5-mini and Claude 4.5 Sonnet - but a non-commercial license caps its real-world reach.

Intel's Arc Pro B70 launched on March 25 with 32GB GDDR6 and 367 TOPS for $949, undercutting NVIDIA's RTX Pro 4000 by $850. The hardware case is strong. The software story is not.

Matei Zaharia wins the 2026 ACM Prize in Computing and claims AGI has arrived, but his own argument - and a $134B company's incentives - complicate the picture.

Meta Superintelligence Labs releases Muse Spark, its first AI model built from scratch in nine months, landing 4th on the Artificial Analysis Intelligence Index.

Z.ai's GLM-5.1 scores 58.4 on SWE-bench Pro, edging out GPT-5.4 and Claude Opus 4.6, after being trained on 100,000 Huawei Ascend chips with no US silicon.

Anthropic's restricted Claude Mythos Preview model autonomously discovered thousands of high-severity vulnerabilities across every major OS and browser, including bugs hiding in plain sight for 27 years.