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How to Write with an LLM
There is a wrong way to use an LLM for writing, and a right one. The wrong way is to let the model generate your prose. The right way is to write everything yourself, then hand the draft to a model and let it find the problems you...
Show HN: Die With Me – Claude and Codex rate limits as AIM away messages
Die With Me Turns AI Token Limits Into a Social Experience Running out of tokens used to be a solitary frustration. You hit your Claude Code limit mid-refactor, stared at the error message, and waited. Now there is an app that tur...
A Zeroth-Order Paradigm for LLM Preference Alignment
The Likelihood Displacement Problem in Preference Alignment Training large language models to follow human preferences has become a core bottleneck in shipping reliable AI systems. Reinforcement learning from human feedback (RLHF)...
Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation
Why Generated Video Alone Fails at Contact-Rich Manipulation Video generation models have opened a new path for robot learning. Instead of teleoperating a robot hundreds of times to collect demonstrations, you can generate a video...
Breaking the 1.58-bit Barrier for Ternary LLMs
Ternary large language models pack every weight into one of three values: -1, 0, or +1. The information-theoretic floor for storing those choices is about 1.585 bits per weight, and the standard five-trit packing scheme used in pr...
Agentic Societies Need a Social Harness
When AI Agents Talk to Each Other, They Need More Than a Protocol Imagine two AI agents, each working on behalf of a different person, trying to schedule a meeting. One has access to its principal's calendar. The other has access...
When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control
LLMs Should Know When to Say "I Don't Know" Language models are fluent by default. Ask them a question they cannot answer, and they will produce something that sounds right, reads well, and might be completely wrong. In healthcare...
Verifiable Social Reasoning for LLM Assistants
Why Your Chatbot Can't Read Between the Lines When you tell your LLM assistant that a coworker seems a little too eager to help, you're giving it a subjective, filtered, emotionally loaded account of reality. The assistant never s...
LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence
A Tabular Foundation Model That Learns Joint Distributions, Not Just Predictions Tabular data is the unglamorous backbone of machine learning in practice. Healthcare records, financial transactions, sensor readings, scientific mea...
JustFit: 200K-Token LLM Serving on a 24 GiB Laptop with Just-in-Time State Management
Fitting a 27B-Parameter LLM into 24 GiB of Laptop Memory The promise of local LLM inference is straightforward: run capable models on hardware you own, keep your data private, and avoid API costs. The obstacle is equally straightf...