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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 →
At Google, AI is a soup-to-nuts endeavor. Obviously, we make leading AI models like Gemini and Nano Banana. We incorporate AI into the tools you use every day (think Gmail, BigQuery, AlloyDB, Google Cloud Code and Goo... 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 →
Advancing the price-performance frontier with GPT‑5.6 Huge price drop from OpenAI today: GPT-5.6 Terra got a 20% reduction, and GPT-5.6 Luna got a massive 80% drop. OpenAI credit 5.6 Sol with enabling this: in How GPT... 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 Retrained V4-Flash Beats Its Flagship Pro on Nine Agent Benchmarks Tech Times Context & related coverage →
Hello, I've been building a local-first open-source knowledge management operating system for 3 months as an AI-native company and would love to hear genuine feedback from the Hacker News community. I've previously wo... 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 →
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 →
Dropbox has integrated Model Context Protocol (MCP) with its internal knowledge platform, Dash, to surface security design context during AI assisted code reviews. The system retrieves threat models and security requi... Context & related coverage →