Kepler, re-architected: Improved power accuracy and a community call to action!
Thank you to Laura Llinares, Mary Baldwin Hughes, Vimal Kumar, and Sunil Thaha for their significant contributions to this blog post and the Kepler project.
Referenced Coverage & Sources
Cutting RAG Inference Costs 6x Starts with Deciding What Never Reaches the LLM
Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous case.
ChatGPT's Computer History Tracks Your Clicks and Keystrokes
ChatGPT's desktop app on macOS has a new feature called Computer History that turns your actions into training data, learning how you work, suggesting automations, and even picking up tasks you left half done.
DeepSeek's Top-ranked V4 Flash Stumbles on Real Agent Tasks as Its Prices Surge
DeepSeek's V4 Flash has topped model leaderboards and been hailed by developers as a "total monster" since its rollout.
Anthropic CEO Says AI Backlash Is 'fundamentally a Crisis of Trust'
Dario Amodei is pushing back against the idea that he's been painting an overly pessimistic picture of AI.
Accuracy
Accuracy is a classification metric measuring the fraction of total predictions that the model got correct, calculated as the sum of correct predictions divided by all predictions.
Agentic AI
Agentic AI refers to artificial intelligence systems designed to act autonomously, make decisions, plan workflows, and execute tasks without constant human intervention. Unlike traditional models that only respond to queries, agentic systems use an agentic loop to perceive environments, reason over goals, use tools, and iterate to achieve outcomes.
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