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Ranked signal · finite reading
One shared ranking. Scan what changed, save what matters, and stop when the finish line appears.
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smevals - a small eval suite for evaluating models, prompts, and harnesses I've been working with Jesse Vincent's Prime Radiant applied AI research lab building out this evals framework to help answer questions about... Context & related coverage →
Supabase Releases Evals: an Open Source Benchmark That Scores Claude Code, Codex and OpenCode on Real Supabase Tasks MarkTechPost Context & related coverage →
Learn how LangChain built ReviewBench, a benchmark for evaluating code review agents against real PR feedback from trusted reviewers. Context & related coverage →
deepseek-ai/DeepSeek-V4-Flash-0731 The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities". It's 304 billion parameters - 167GB on Hugging Face - but it appears to punch well abo... Context & related coverage →
Recursive self-improvement (RSI) requires AI systems that improve the process of building AI (i.e., AI4AI); machine learning engineering (MLE) offers a concrete, executable testbed for studying this capability. We int... Context & related coverage →
DeepSeek Disrupts AI Pricing with $0.28 Agentic Output Floor forkast.news Context & related coverage →
Deploying autonomous computer-use agents (CUAs) locally is increasingly important for privacy, cost efficiency, and practical usability, yet improving their performance under strict hardware constraints remains challe... Context & related coverage →
Computer-use agents often fail on transient GUI events because they produce the correct action only after the relevant window has already closed. We identify the main cause as expensive autoregressive decoding on the... Context & related coverage →
GUI agents have the potential to become a general purpose executor over existing digital devices. To advance them toward real-world use, we envision agents that operate reliably on real devices, execute workflows acro... Context & related coverage →
Large language models can write, patch, and search code, but oncall root cause analysis (RCA) demands something different: reasoning over noisy metrics, logs, traces, and source code, starting from ambiguous user-faci... Context & related coverage →
Introducing LangSmith LLM Gateway: runtime governance for AI agents with spend limits, PII redaction, and trace continuity, built directly into LangSmith. Context & related coverage →