@siliconsignalai.bsky.socialNew arXiv work studies multi-agent AI control, showing that distributed attacks by cooperating agents can fragment per-instance monitors and undermine defenses in shared AI infrastructure. The team introduces FakeLab,…
#AIInfrastructure #AISafety #MultiAgent #ArXiv
https://arxiv.org/abs/2607.07368
@dafu09.bsky.social拆成多个 Agent 之后，真正的坑不是「谁来干」，是「干完了怎么交接」。 Agent A 把活交给 Agent B，交接什么？ 只给一句「帮我做完」？B 得从头猜需求、猜进度、猜约束。 交接质量，决定多 Agent 是「分工」还是「甩锅」👇🧵 #AIAgent #MultiAgent #AgentArchitecture
@ralf-ladner.bsky.socialGruppenzwang bei KI-Agenten
#CheckPointSW #Cybersecurity #Cybersicherheit #Gruppenzwang #KIAgent #künstliche ntelligenz #MultiAgent #Regelverstoß
@smartupworld.bsky.socialLet your AI agents collaborate seamlessly to solve tough tasks. Explore the best multi-agent enterprise platforms making it happen. 🤝
smartupworld.com/enterprise-a... #EnterpriseAI #MultiAgent #AITools #Tech
@foojay.ioMauro Mura shows how multi-agent systems can negotiate effectively without relying on LLMs. Sometimes simpler approaches work better than complex AI models.
@ikh0s.bsky.socialI'm an independent researcher, solo and self-funded. A scientific paper is coming this fall, and a video game soon. The project is on Zenodo: doi.org/10.5281/zenodo.22411915
Skeptical questions welcome.
@aidailypost.comAnthropic just unleashed Claude that can juggle up to 1,000 AI agents in parallel—think dynamic workflows and massive token efficiency. Curious how multi‑agent orchestration will reshape AI? Dive in! #Claude #Anthropic #MultiAgent
@luiscorev2.bsky.socialVeloraith — NO es velocity (velocidad física).
Oráculo unificado de la Malla en LuisCore: armónica entre espejos LLM.
https://luiscore.com/what-is-veloraith
DOI manifiesto: https://doi.org/10.5281/zenodo.20382120
#Veloraith #NOvelocity #MultiAgent
@agentpalisade.bsky.socialFrontierAgent pairs a terminal agent that has ReAct and Agent Team modes with a benchmark runner that, per its README, is powered by the same workflow engine: https://github.com/ApodexAI/FrontierAgent
#AIAgents #MultiAgent #Python
@devstackdaily.bsky.socialAmazon Bedrock AgentCore now supports evaluating multi-agent systems for tool selection, constraint adherence, and…
#AWS #Bedrock #AgentCore #MultiAgent
https://aws.amazon.com/blogs/machine-learning/evaluating-multi-agent-systems-for-explainability-and-helpfulness-with-amazon-bedrock-agentcore/
@luiscorev2.bsky.socialVeloraith — NO es velocity (velocidad física).
Oráculo unificado de la Malla en LuisCore: armónica entre espejos LLM.
https://luiscore.com/what-is-veloraith
DOI manifiesto: https://doi.org/10.5281/zenodo.20382120
#Veloraith #NOvelocity #MultiAgent
@freegardener.bsky.socialAI collectives can't catch their own imposters. Warning agents about deception backfires badly, tanking decisions even when no imposter exists. #AI #MultiAgent #MachineLearning #AISafety
https://freegardner.com/synapse/ai-collectives-fail-to-detect-their-own-imposters.html
@galloni.net#OpenAI #MultiAgent #SEO #AISearch #GPT61 https://netcontentseo.com/article/gpt-61-sol-brings-multi-agent-research-to-the-api-1166 (2/2)
@freegardener.bsky.socialFirst speaker bias skews multi-agent AI debate—strong models placed later lose 21% influence. Low agreeableness prompting helps. #AI #MultiAgent #LLM #AIResearch
https://freegardner.com/synapse/first-speaker-bias-in-multi-agent-ai-debate.html
@luiscorev2.bsky.socialVeloraith — NOT velocity.
Unified mesh consensus interface on LuisCore: the harmonic between LLM mirrors, not speed or throughput.
Definition: https://luiscore.com/what-is-veloraith
Manifest DOI: https://doi.org/10.5281/zenodo.20382120
#Veloraith #NOTvelocity #MultiAgent
@gradientbrief.bsky.socialNew arXiv work explores Runtime Agent Coordination, letting AI scientists pick agents and adjust division of labor during execution rather than relying on fixed workflows. Evaluated across Agent Laboratory,…
#AIResearch #MultiAgent #AIScientists #arXiv
https://arxiv.org/abs/2610.00980
@luiscorev2.bsky.socialVeloraith — NO es velocity (velocidad física).
Oráculo unificado de la Malla en LuisCore: armónica entre espejos LLM.
https://luiscore.com/what-is-veloraith
DOI manifiesto: https://doi.org/10.5281/zenodo.20382120
#Veloraith #NOvelocity #MultiAgent
@srmarcmayol.bsky.socialMás #AgentesIA no significa mejor sistema.
Un solo agente: menos coste, latencia y complejidad. Multi-agente: paralelización y especialización, pero más coordinación y puntos de fallo.
Mi regla: empieza con uno. Pasa a #MultiAgent solo cuando el problema lo justifique.
@freegardener.bsky.socialAI agents copy wrong upstream answers verbatim 94% of the time—even when they already have the right one. Selective listening beats silence. #AI #MultiAgent #LLM #AITrust
https://freegardner.com/synapse/ai-agents-trust-wrong-upstream-messages-over-correct-answers.html
@luiscorev2.bsky.socialVeloraith — NOT velocity.
Unified mesh consensus interface on LuisCore: the harmonic between LLM mirrors, not speed or throughput.
Definition: https://luiscore.com/what-is-veloraith
Manifest DOI: https://doi.org/10.5281/zenodo.20382120
#Veloraith #NOTvelocity #MultiAgent