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Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
Conformal prediction has become a standard tool for uncertainty quantification because it produces prediction sets with finite-sample coverage guarantees under minimal assumptions. Practitioners routinely treat the size of these s...
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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...
The Missing Minimal Pair: Stereotype Evaluation in LLMs
Measuring bias in large language models has often relied on comparing the log-likelihoods of two contrastive stereotype sentences. This approach can produce unreliable results because simply rewriting the same stereotype with an a...
OpenAI drops another batch of mathematical breakthroughs
OpenAI has published 722 manuscripts stemming from an unreleased frontier model, covering 372 result families that group related papers. The batch extends a sequence of mathematical breakthroughs that have drawn both admiration an...
LLM-Complete: The next 700 programming languages
Why Some Programming Languages Resist LLMs Programming abstractions have always been a trade-off between expressiveness and clarity. Dijkstra argued convincingly that good abstraction lets us think clearer, say what's needed unamb...
Show HN: TOD,a universal Decision model based on Task Oriented Design
Parseclab has released TOD, a small decision model that sits in front of an existing LLM and handles the turns it is confident about, deferring the rest. Built on an open 12-billion-parameter Gemma 4 base, TOD reads text and image...
Mirror Particle is building a ‘world model’ of human behavior
Startups promising to predict human behavior are attracting substantial venture funding. Over the past year, Simile raised $200 million at a $2 billion valuation, Aaru secured $88 million at a $1 billion valuation, and Humans& lau...