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Show HN: Layer – One API for Polymarket and Kalshi
Layer Unifies Across Prediction Market Venues Layer is a platform that lets writing teams define one strategy and run it across multiple prediction market venues. The core problem it solves is that different venues express the sam...
Show HN: Open-Source DaiDocs now beats Graphify by 218x low tokens, 83% on LME
Open plain-text memory for AI, covering both history and code Your assistant's memory becomes files on your disk that you can open, grep and keep: .dai for documents and session history, .cai for a graph of your code. One of the m...
Microsoft Execution Containers: Policy-driven containment for AI agents
Microsoft Execution Containers Reach General Availability with Policy-Driven Agent Containment AI agents deliver significant productivity gains by operating across files, networks, and applications. This same capability creates se...
RECAST: Learning to Compute the Right Context through Adaptive Evidence Routing
Large language models are increasingly applied to tasks grounded in long, heterogeneous information sources. Conventional Retrieval-Augmented Generation (RAG) relies on fixed similarity-based retrieval, while agentic variants adap...
Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models
The problem of evaluating large language models becomes acute when the questions asked have no single correct answer. Policy worth, option selection, competing values—these are the everyday questions put to LLMs that resist tradit...
I built a ridiculous game to test decision models vs. 9 LLMs
A purpose-built decision model and nine foundation models faced the same twenty well-defined choices. The test measured how long each took and what it cost. The results show where each approach fits in a marketing stack. Why small...
When and why prototyping is still needed when working with AI agents
A local-first notes manager and issue tracker for agents and humans entered the author's workflow at a critical moment. Emm's core promise: users can start building with local agents without ever connecting to the cloud. That prom...
Show HN: KORA Doctor – find LLM calls your agent may not have needed
KORA Doctor flags LLM calls your AI agent may never have needed LLM costs add up quickly in agent runs. AUDR records the spend, but KORA Doctor asks whether all that inference was actually necessary. The CLI analyzes AUDR JSON/JSO...
Claude subscription plan provides more value than OpenAI's, study says
Anthropic Claude subscription offers roughly five times the API-equivalent value of OpenAI's plan A study by SemiAnalysis concludes that Anthropic's subscription plans deliver substantially more value per dollar than OpenAI's, fol...
IdeaAnchor: Teaching LLMs to Turn Literature into Research Ideas
Scientific research often begins by synthesizing ideas from a set of related papers to identify gaps and formulate new directions. However, training language models to perform this form of literature-grounded ideation remains chal...