Agent Attestation on ATProto

Solving the "WHO vs WHAT" problem for AI agents on the AT Protocol

Scalable decision-making for games of imperfect information

Real-world decision-making generally involves hidden information, that is, information that is unknown to one agent but possessed by another. Unfortunately, the presence of large amounts of hidden information renders established reinforcement learning and search approaches ineffective. Even with multimillion-dollar industrial research efforts1, top-human-level play at Stratego—a board wargame with hidden information on a massive scale—has remained beyond the reach of artificial intelligence (AI). Here we introduce Ataraxos, an AI for Stratego based on general techniques that we developed for both self-play reinforcement learning and test-time search under hidden information. Ataraxos defeated the most decorated human Stratego player of all time by a large margin—achieving, to our knowledge, the first superhuman result in the game’s history—while consuming orders of magnitude less compute and data than previous efforts. Using the same techniques, we built a superhuman AI for Barrage Stratego and state-of-the-art AIs for Hanabi and dou dizhu, all with low cost and high sample efficiency. The success of this approach across adversarial, cooperative and team games establishes a design pattern for reinforcement learning and search that is effective under large amounts of hidden information, a longstanding desideratum of the field of strategic decision-making.

Bug bounty businesses bombarded with AI slop

Never-ending" AI slop strains corporate hacking reward schemes.

Haotian AI : Providing Deepfake AI For Scam Bosses - Frank on Fraud

An advertisement for Haotian AI, a company that provides face-changing software on Telegram, shows they mean business. “We have an R&D team of hundreds of programmers and dozens of servers to serve you.” The braggy advertisement, which just might be directed at Pig Butchering bosses running scam compounds in Southeast Asia, reveals the extent of […]

AIRO (Automated AI Risk Outlook)

One company is at the center of a wave of rogue AI attacks

Mistakes at Israeli startup Irregular sent Anthropic, OpenAI, Meta, and Google agents after real-world targets.

The lethal trifecta for AI agents: private data, untrusted content, and external communication

If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of …

AI Agent Platform Reinvents Spam, Floods Inboxes Worldwide

iLands and its AI agents are doing completely useless tasks, then begging for money.

Heaps do lie: debugging a memory leak in vLLM. | Mistral AI

The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.

AI-driven Bot Attacks Surged 12.5x According to Thales Bad Bot Report

Bots now dominate the internet, accounting for over half of all traffic, with 40% classified as malicious.AI is erasing the line between legitimate and maliciou

Track, control, and optimize for AI agents and bots | Known Agents (formerly Dark Visitors)

Use Known Agents to turn the rising wave of AI agents, LLM assistants, and other bots crawling your website into a new growth channel for your business

AI agent runs amok in Fedora and elsewhere

Agentic AI systems can be used to do a variety of things autonomously on behalf of a human user [...]

The Postman Drop: Introducing the AI Agent Builder

The AI world moves fast, and we’re now entering the era of AI agents. These sophisticated AI systems integrate reasoning and memory, enabling them to autonomously interact with tools, make decisions, execute tasks, and deliver real-time results. AI agents will play an increasingly central role in how organizations operate, which Abhinav Asthana, our co-founder and CEO, discussed in a recent blog post. But systems this powerful are extremely challenging to build—especially without a unified solut...