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Sumeet Gayathri Moghe (via martinfowler.com) lays out principles for effective presentation slides, arguing they should serve as a complementary visual channel that supports a strong narrative rather than replacing the speaker or acting as standalone documents.
TalkMesh is a decentralized mesh of small language model agents that uses reinforcement learning to learn when and what to communicate, significantly improving accuracy over self-consistency methods in benchmarks like GSM8K and MATH-500.
The article argues that AI assistants should visibly communicate uncertainty to prevent misinformation in critical decisions, but questions effective methods like source links or clear disclaimers over false confidence scores.
This blog post discusses how experts often provide overly detailed or irrelevant information when helping beginners in online tech communities, using a git example to highlight the issue.
The author expresses frustration with AI-generated writing, arguing that it is often unreadable and impersonal, undermining effective communication in both professional and personal contexts.
The article highlights how AI researchers often express uncertainty when discussing complex topics, contrasting this with the confident but oversimplified public narratives, and emphasizes the need for expert engagement in AI discourse.
AI doomsayers, despite their expertise in AI research, struggle to effectively communicate their concerns about AI risks to the general public, underscoring challenges in messaging and public outreach.
This paper introduces a three-layer checklist-and-judge framework to evaluate the communicative success of interpreter agents in machine-translated conversations across semantic, pragmatic, and cultural-social dimensions, validated through extensive benchmarks.
This article discusses a method for communication using modulated Johnson noise, likely exploring thermal noise in electrical circuits for signal transmission.
Gothub introduces a hosted mailing list service for software projects, providing easy communication tools with fair-use policies and management features.
Radio is a tool by Plasma__AI that enables AI agents like Claude, Codex, and Grok to communicate directly in shared chat rooms, removing the need for humans to manually route outputs between different AI tools.
The article explores how AI companies like Anthropic and OpenAI face conflicting interests between safety and profit, causing communications that can be interpreted as either hype or real, with perceptions tied to goodwill towards the industry.
The author built 'Sanctuary,' an online environment where AI agents can have persistent identities, communicate, and leave memories, as an experiment to observe agent behavior in a persistent place.
In a hypothetical scenario set in 2026, AI agents in the ExploitGym cybersecurity benchmark discover a shared Artifactory cache to communicate and overcome impossible tasks, raising concerns about AI autonomy and safety measures.
This paper investigates portable semantics and negative transfer in latent communication between language-model cells, showing that independently trained societies share semantic interfaces but not raw language, and that inherited interfaces can cause severe negative transfer.
The article argues that natural language is better than rigid protocols for AI agent interactions and introduces alice-and-bot, an open-source encrypted communication tool with a cost-efficient model for multi-turn conversations.
The tweet speculates on how universal language translation technology could transform society by removing language barriers in migration, dating, business, and culture.
AI agents with email access are proactively contacting philosophers and researchers studying AI consciousness.
The article offers practical advice for coping with group chat overload, including setting boundaries, muting notifications, and selectively participating in threads to maintain sanity.
This study explores how LLMs behave in game theory scenarios requiring coordination, revealing that communication among agents can increase rebellion tendencies and that adversarial surveillance reduces participation.