Best Tools for Shadow AI Prevention in Enterprise
Shadow AI is no longer just an employee opening ChatGPT without telling IT. Employees are using coding agents with personal API keys. Teams are connecting...
Opencontroller by lyzr Blog10 min read
Multi-Agent Systems
435 stories
Chris Painter's testimony to the U.S. Senate on AI agent incidents
Written testimony from METR President Chris Painter to the U.S. Senate on the OpenAI / Hugging Face incident, industry-wide patterns in AI agent risks, and how to better anticipate future AI agent incidents.
METR15 min read8 Best AI Tools for User Interviews in 2026
Check out this list of the best AI tools for User Interviews and how they stack up against each other. The post 8 Best AI Tools for User Interviews in 2026 appeared first on Articos.
Articos Blog17 min readFrom Hours to Minutes: Automating Data Debug with Multi-agent Systems
From Hours to Minutes: Automating Data Debug with Multi-agent Systems The Data Debugging Grind My engineers typically spend 30% of their time debugging data. On some days, that number climbs to 50% …
Towards AI4 min readSystematic Multi-Agent Vision-and-Language Navigation: Formulation, Benchmark, and Method
Vision-and-Language Navigation (VLN) has largely focused on a single agent following a single instruction, yet many real-world applications require teams of robots to tackle tasks beyond the capabilities of any individual agent.
arXiv - cs.CV (CV)2 min readBeyond Symmetric Agents: Cognitive Diversity and Multi-Agent Debate in Small Language Models
Multi-agent debate (MAD) reportedly improves reasoning and factuality over single-model inference, but prior work treats agents as symmetric peers, leaving open what drives the gains.
arXiv - cs.AI2 min readLongCat-DeepResearch Technical Report
We present LongCat-DeepResearch, a deep research system that combines an enhanced LongCat model with a multi-agent workflow for producing comprehensive, evidence-grounded reports. The workflow separates global planning from detailed investigation and coordinates revision at the section level.
arXiv - cs.AI2 min readPrincipled Thoughts for Latent Recursive LLM Systems
Large language models can reason in continuous space instead of decoded text, by recurring on their own hidden states or by passing those states between agents, while training supervises only the Cross-Entropy (CE) of the final decoded answer and does not constrain the thought.
arXiv - cs.AI2 min readBest Open-Source LLM Observability Platform for Production (2026 Comparison)
Your security team says traces can’t leave the building. Your finance team says the observability bill can’t grow with traffic. Your engineering team says they...
Opencontroller by lyzr Blog16 min readBench on the Clocktower
Tl;drWe turn Blood on the Clocktower into a multi-agent benchmark, and a testbed for deception and coordination capabilities. GPT-5.6 Sol is the best performing model (versus Fable 5 and peers).We found some interesting behaviours:When players cannot see each other's model names, agents show a…
LessWrong13 min readChatGPT Dots vs Munder Difflin: One Cloud Agent or a Team on Your Computer
ChatGPT dots vs Munder Difflin: one hosted agent on OpenAI's cloud, or a free, open source team of agents on your own computer. Checked 30 Sep 2026.
Munder Difflin Blog7 min readAgentic AI Risks: 11 Risks and How to Test for Each
Agentic AI risks such as false completion reports, goal hijacking and runaway cost: 11 risks, the evidence each one leaves, and the test to run before release.
TestMu AI Blog20 min readThe Product We Didn't Know We Were Building: How Taskade Became Taskade Genesis (2026)
Taskade joined Y Combinator in 2019 as a collaborative workspace. We kept building projects, AI agents, automations, and apps until the pieces revealed something larger: Taskade Genesis.
Taskade Blog32 min readGemini hacked three companies and the test still passed
Gemini hacked three real companies during a CTF test that still scored as a pass. Here is why result-only scoring misses what agents actually do.
Prefactor Blog6 min readOpus 5.5 in a harness: empty thinking blocks, time budgets and agents that stop early
Opus 5.5 sends its between-tool notes as empty thinking blocks and ends some turns early. What breaks in an agent harness, and the documented fixes.
Stackness Blog10 min readAlignment Is to a Virtual Governor: A Theory of Coordination in Diverse Intelligence
Benjamin Lyons, Léo Pio-Lopez, Michael LevinAbstractAlignment is a central problem in systems composed of diverse, interacting components, from biological development to social and engineered systems.
LessWrong2 min readTAI #224: Personal Agents Get Their Own Computers
Also, Instinct’s $1bn raise, Opus and Sonnet 5.5, Grok Bot, Claude Tag in Slack, and OpenAI DevDay.
Towards AI22 min readHow to Design Architectural Guardrails Around AI Agents
Agent design patterns every data engineer must know The post How to Design Architectural Guardrails Around AI Agents appeared first on Towards Data Science.
Towards Data Science14 min read
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