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Competitive Information Design in Sequential Search

Announce Type: new Abstract: Advertisements often strategically disclose information to consumers who make decisions on further information acquisition and eventual purchase. Anderson and Renault (2006) model this problem using an information design framework, where the advertiser acts as a sender and the consumer as a receiver. We extend this model to a competitive setting with horizontally differentiated senders competing for a unit-demand receiver.

arXiv CS 7d ago

Self-Regulation through Communication in Evolved Neural Agents

arXiv:2606.02840v1 Announce Type: cross Abstract: Communication is typically understood as indication: signals that transfer information from sender to receiver. We present a minimal predator avoidance task in which pairs of evolved CTRNN agents use communication for robust survival, and in which agents hear their own vocalizations, as in natural systems. Across 112 perfect-fitness agents from over 2,000 evolutionary runs, three dominant strategies emerge (accounting for 81% of agents):...

arXiv CS 7d ago

Covert Influence Between Language Models

arXiv:2606.04071v1 Announce Type: new Abstract: As language models increasingly consume one another's outputs, covert influence -- a phenomenon where a sender's payload (the behavioral disposition it is conditioned to propagate) transfers to a receiver through carriers undetectable by humans -- becomes a growing risk. We characterize this risk across three interfaces: supervised fine-tuning, on-policy distillation, and in-context learning, and find that they vary in the scale of influence...

arXiv CS 6d ago

Pepper: High-bandwidth and Scalable Anonymous Broadcast with Cryptographic Privacy

arXiv:2606.04411v1 Announce Type: new Abstract: We present Pepper, a high-bandwidth anonymous broadcast protocol that provides cryptographic sender anonymity against global adversaries. Pepper builds on a two-server DC-net architecture but introduces three key innovations: a self-contained anonymous registration subprotocol using verifiable distributed point functions, support for batch messaging via distributed multi-point functions, and a lightweight access control mechanism based on...

arXiv CS 6d ago

Openrsync: An implementation of rsync, by the OpenBSD team

This system has been merged into OpenBSD base. If you'd like to contribute to openrsync, please mail your patches to [email protected]. This repository is simply the OpenBSD version plus some glue for portability.

Hacker News 11d ago

Anatomy of a high-performance EP kernel

Anatomy of a high-performance EP kernel Large language models are large. Because they’re large, we need lots of GPUs to run them. It would be nice if LLM inference were ‘embarrassingly parallel’ and we could just always compute independent things on different GPUs.

Hacker News 4h ago

The iPad was on Tailscale: a WebRTC debugging story

If you're not familiar with how p2claw works, it's worth checking out the how it works blog post before diving into this one. I opened one of my p2claw apps on my iPad and got a blank page. The same URL was working on my Mac, my linux box and my phone.

Hacker News 5h ago

Do not click fake 'account recovery' Amazon email

Amazon is getting ready for Prime Day, and you can bet scammers are, too. In fact, I received a fake Amazon email that looked like an account recovery warning. It claimed there was unusual activity on my account and pushed me to "Sign In to Verify.

Fox News Tech 7h ago

Do not click fake 'account recovery' Amazon email

Amazon is getting ready for Prime Day, and you can bet scammers are, too. In fact, I received a fake Amazon email that looked like an account recovery warning. It claimed there was unusual activity on my account and pushed me to "Sign In to Verify.

Fox News 7h ago

Truthful AI Advisors: A Pre-Specified Benchmark for Large Language Model Honesty Under Preference Misalignment

arXiv:2606.01456v1 Announce Type: new Abstract: Large language models are increasingly deployed as advisors whose objective is not aligned with the user's: recommenders optimize for engagement, sales assistants for purchases, negotiation agents for concessions. Whether such advisors stay truthful when honesty conflicts with their own payoff is a core alignment-evaluation question. We turn the canonical Crawford-Sobel cheap-talk model into a pre-specified benchmark for LLM honesty under...

arXiv CS 8d ago