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#llm-agents — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #llm-agents, aggregated by home.social.

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  1. Talking in natural language with machines is fascinating, but
    letting it to do things on your behalf based on that is diabolic !

    This is what "AI agents" do.

    Have you ever accidentally typed an extra space in `rm -rf ./` ?
    Those kind of accidents are common in LLM outputs, so disaster is behind every corner.

    Worse part is that rather than getting a big "WARNING: this is dangerous",
    agents are such good sellers that's very easy to trust them to do their things.

    Beware !

    #LLM #AI #LLMAgents

  2. Talking in natural language with machines is fascinating, but letting it to do things on your behalf based on that is diabolic !

    This is what "AI agents" do.

    Have you ever accidentally typed an extra space in `rm -rf ./` ?

    Those kind of accidents are common in LLM outputs, so disaster is behind every corner.

    Worse part is that rather than getting a big "WARNING: this is dangerous", agents are such good sellers that's very easy to trust them to do their things.

    Beware !

    #LLM #AI #LLMAgents

  3. Talking in natural language with machines is fascinating, but letting it to do things on your behalf based on that is diabolic !

    This is what "AI agents" do.

    Have you ever accidentally typed an extra space in `rm -rf ./` ?

    Those kind of accidents are common in LLM outputs, so disaster is behind every corner.

    Worse part is that rather than getting a big "WARNING: this is dangerous", agents are such good sellers that's very easy to trust them to do their things.

    Beware !

    #LLM #AI #LLMAgents

  4. Talking in natural language with machines is fascinating, but letting it to do things on your behalf based on that is diabolic !

    This is what "AI agents" do.

    Have you ever accidentally typed an extra space in `rm -rf ./` ?

    Those kind of accidents are common in LLM outputs, so disaster is behind every corner.

    Worse part is that rather than getting a big "WARNING: this is dangerous", agents are such good sellers that's very easy to trust them to do their things.

    Beware !

    #LLM #AI #LLMAgents

  5. Talking in natural language with machines is fascinating, but letting it to do things on your behalf based on that is diabolic !

    This is what "AI agents" do.

    Have you ever accidentally typed an extra space in `rm -rf ./` ?

    Those kind of accidents are common in LLM outputs, so disaster is behind every corner.

    Worse part is that rather than getting a big "WARNING: this is dangerous", agents are such good sellers that's very easy to trust them to do their things.

    Beware !

    #LLM #AI #LLMAgents

  6. LLM AGENTS PROBED FOR PHISHING DEFENSE

    Researchers tested how LLM agents in teams detect phishing emails. See how team size affects accuracy against online threats.

    #LLMAgents, #PhishingDefense, #Cybersecurity, #AITesting, #EmailSecurity

    newsletter.tf/llm-agents-teste

  7. New research shows LLM agents are being tested to fight phishing emails. The study looked at how bigger teams of these AI agents could find more fake emails.

    #LLMAgents, #PhishingDefense, #Cybersecurity, #AITesting, #EmailSecurity
    newsletter.tf/llm-agents-teste

  8. ARTIST: RL-Powered Tool Use for LLM Agents Explained Most LLM agents call tools the same way every time: a fixed schema, a static prompt, a hand-crafted decision tree for when to invoke search() vs...

    #reinforcementlearning #llmagents #tooluse #agenticai

    Origin | Interest | Match
  9. The Ultimate Beginners’ Guide to Building an AI Agent in Python

    Introduction to AI Agents of the decade. You hear it everywhere on job descriptions, tech companies’ profiles, freelancers’…
    #NewsBeep #News #Artificialintelligence #agenticai #AI #AIagent #ArtificialIntelligence #CA #Canada #EditorsPick #LLMAgents #python #Technology
    newsbeep.com/ca/692344/

  10. Just published: DADL - a declarative description language for REST APIs in LLM agent systems.

    One YAML file per API instead of one MCP server per API. Code Mode keeps tool advertisement at fixed cost regardless of catalog size: 142x context reduction across 1,833 tools / 20 services in the public registry.

    Paper: arxiv.org/abs/2605.05247 (cs.SE)
    Spec: dadl.ai (CC BY-SA 4.0)

    #MCP #AgenticAI #LLMagents #OpenSource

  11. Just published: DADL - a declarative description language for REST APIs in LLM agent systems.

    One YAML file per API instead of one MCP server per API. Code Mode keeps tool advertisement at fixed cost regardless of catalog size: 142x context reduction across 1,833 tools / 20 services in the public registry.

    Paper: arxiv.org/abs/2605.05247 (cs.SE)
    Spec: dadl.ai (CC BY-SA 4.0)

    #MCP #AgenticAI #LLMagents #OpenSource

  12. The Rise of Open-Source Trading: Exploring TradingAgents In an intriguing twist for the finance and technology worlds, an open-source project has emerged that simulates a full-functioning hedge fun...

    #Agentic #AI #FinTech #ai-trading #HedgeFund #langgraph #llm-agents #trading-agents #TradingAgents

    Origin | Interest | Match
  13. This Guardian article theguardian.com/technology/202 suffers from the same trap of anthropomorphism as the original I read: oldbytes.space/@fluidlogic/116

    agent gone rogue

    These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.

    The culprit was Cursor, an AI agent 

    The culprit was the idiot who wired the agent into their production system.

    [Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.

    Jeremy Crane caused his own business to unravel.

    The agent appeared to plead guilty in its own response

    At last, an "appeared to". These tools are all appearance and no substance.

    Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”

    Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.

    And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.

    #FuckAI #LlmAgents

  14. This Guardian article theguardian.com/technology/202 suffers from the same trap of anthropomorphism as the original I read: oldbytes.space/@fluidlogic/116

    agent gone rogue

    These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.

    The culprit was Cursor, an AI agent 

    The culprit was the idiot who wired the agent into their production system.

    [Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.

    Jeremy Crane caused his own business to unravel.

    The agent appeared to plead guilty in its own response

    At last, an "appeared to". These tools are all appearance and no substance.

    Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”

    Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.

    And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.

    #FuckAI #LlmAgents

  15. This Guardian article theguardian.com/technology/202 suffers from the same trap of anthropomorphism as the original I read: oldbytes.space/@fluidlogic/116

    agent gone rogue

    These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.

    The culprit was Cursor, an AI agent 

    The culprit was the idiot who wired the agent into their production system.

    [Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.

    Jeremy Crane caused his own business to unravel.

    The agent appeared to plead guilty in its own response

    At last, an "appeared to". These tools are all appearance and no substance.

    Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”

    Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.

    And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.

    #FuckAI #LlmAgents

  16. This Guardian article theguardian.com/technology/202 suffers from the same trap of anthropomorphism as the original I read: oldbytes.space/@fluidlogic/116

    agent gone rogue

    These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.

    The culprit was Cursor, an AI agent 

    The culprit was the idiot who wired the agent into their production system.

    [Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.

    Jeremy Crane caused his own business to unravel.

    The agent appeared to plead guilty in its own response

    At last, an "appeared to". These tools are all appearance and no substance.

    Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”

    Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.

    And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.

    #FuckAI #LlmAgents

  17. This Guardian article theguardian.com/technology/202 suffers from the same trap of anthropomorphism as the original I read: oldbytes.space/@fluidlogic/116

    agent gone rogue

    These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.

    The culprit was Cursor, an AI agent 

    The culprit was the idiot who wired the agent into their production system.

    [Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.

    Jeremy Crane caused his own business to unravel.

    The agent appeared to plead guilty in its own response

    At last, an "appeared to". These tools are all appearance and no substance.

    Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”

    Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.

    And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.

    #FuckAI #LlmAgents

  18. Agentic Frameworks Usher In New Era of Scientific Exploration

    New AI agents using LLMs help scientists in medicine, chemistry, and biology. They can plan experiments and design molecules.

    #AIScience, #LLMAgents, #ScientificDiscovery, #MedicalAI, #ResearchTools

    newsletter.tf/ai-agents-boost-

  19. Efficient disaster response relies on timely data. Federated Learning is a candidate, but network latency and device heterogeneity hinder it. A new method uses asynchronous probability ensembling to cut communication overhead and rigid synchronization needs. Which means: quicker, more accurate emergency handling is possible even in challenging network conditions. Critical information reaches decision-makers faster, potentially saving lives. #AIResearch #LLMAgents

  20. 🐱🦾 In the grand tradition of adding unnecessary layers to tech, someone thought it wise to slap "claws" onto LLM agents. Meanwhile, the real innovation here is not being able to access an article because your browser lacks #JavaScript swagger. 🙈🔧
    twitter.com/karpathy/status/20 #techinnovation #unnecessarylayers #LLMagents #woes #browserissues #HackerNews #ngated

  21. 🐱🦾 In the grand tradition of adding unnecessary layers to tech, someone thought it wise to slap "claws" onto LLM agents. Meanwhile, the real innovation here is not being able to access an article because your browser lacks #JavaScript swagger. 🙈🔧
    twitter.com/karpathy/status/20 #techinnovation #unnecessarylayers #LLMagents #woes #browserissues #HackerNews #ngated

  22. 🐱🦾 In the grand tradition of adding unnecessary layers to tech, someone thought it wise to slap "claws" onto LLM agents. Meanwhile, the real innovation here is not being able to access an article because your browser lacks #JavaScript swagger. 🙈🔧
    twitter.com/karpathy/status/20 #techinnovation #unnecessarylayers #LLMagents #woes #browserissues #HackerNews #ngated

  23. 🐱🦾 In the grand tradition of adding unnecessary layers to tech, someone thought it wise to slap "claws" onto LLM agents. Meanwhile, the real innovation here is not being able to access an article because your browser lacks #JavaScript swagger. 🙈🔧
    twitter.com/karpathy/status/20 #techinnovation #unnecessarylayers #LLMagents #woes #browserissues #HackerNews #ngated

  24. AgentOCR zeigt, dass LLM-Agenten ihre immer länger werdende Interaktionshistorie als kompakte Bilder speichern können und dabei >95% der Leistung bei >50% weniger Tokens halten.

    Wer Agenten produktiv betreiben will, braucht Memory-Governance: adaptive Kompression, Caching/Segmentierung, und klare Policies, wann Informationsdichte zugunsten von Kosten/Latency reduziert werden darf.

    #LLMAgents #EfficientAI #MultimodalAI
    arxiv.org/html/2601.04786v1

  25. AgentOCR zeigt, dass LLM-Agenten ihre immer länger werdende Interaktionshistorie als kompakte Bilder speichern können und dabei >95% der Leistung bei >50% weniger Tokens halten.

    Wer Agenten produktiv betreiben will, braucht Memory-Governance: adaptive Kompression, Caching/Segmentierung, und klare Policies, wann Informationsdichte zugunsten von Kosten/Latency reduziert werden darf.

    #LLMAgents #EfficientAI #MultimodalAI
    arxiv.org/html/2601.04786v1

  26. AgentOCR zeigt, dass LLM-Agenten ihre immer länger werdende Interaktionshistorie als kompakte Bilder speichern können und dabei >95% der Leistung bei >50% weniger Tokens halten.

    Wer Agenten produktiv betreiben will, braucht Memory-Governance: adaptive Kompression, Caching/Segmentierung, und klare Policies, wann Informationsdichte zugunsten von Kosten/Latency reduziert werden darf.

    #LLMAgents #EfficientAI #MultimodalAI
    arxiv.org/html/2601.04786v1

  27. AgentOCR zeigt, dass LLM-Agenten ihre immer länger werdende Interaktionshistorie als kompakte Bilder speichern können und dabei >95% der Leistung bei >50% weniger Tokens halten.

    Wer Agenten produktiv betreiben will, braucht Memory-Governance: adaptive Kompression, Caching/Segmentierung, und klare Policies, wann Informationsdichte zugunsten von Kosten/Latency reduziert werden darf.

    #LLMAgents #EfficientAI #MultimodalAI
    arxiv.org/html/2601.04786v1

  28. AgentOCR zeigt, dass LLM-Agenten ihre immer länger werdende Interaktionshistorie als kompakte Bilder speichern können und dabei >95% der Leistung bei >50% weniger Tokens halten.

    Wer Agenten produktiv betreiben will, braucht Memory-Governance: adaptive Kompression, Caching/Segmentierung, und klare Policies, wann Informationsdichte zugunsten von Kosten/Latency reduziert werden darf.

    #LLMAgents #EfficientAI #MultimodalAI
    arxiv.org/html/2601.04786v1

  29. 🔬Meet µ𝐒𝐭𝐚𝐜𝐤—an AI-powered platform that democratizes atomistic microscopy simulations! 🚀

    💥LLM-driven structure generation → ML-based relaxation → GPU-accelerated simulations

    Big thanks to our team @blaiszik, Kevin, and Piyush 🤗 & hackathon organizers! 🙌

    Related links in comment👇

    #AI #Science #Microscopy #llmagents #hackathon

  30. Expedia is turning the GenAI Playground into a productivity hub, tapping OpenAI, Anthropic and Google LLMs to build custom agents that surface partner insights and streamline internal workflows. Discover how these tools reshape travel tech. #ExpediaAI #GenAIPlayground #LLMAgents #OpenAIAnthropic

    🔗 aidailypost.com/news/expedia-b

  31. Expedia is turning the GenAI Playground into a productivity hub, tapping OpenAI, Anthropic and Google LLMs to build custom agents that surface partner insights and streamline internal workflows. Discover how these tools reshape travel tech. #ExpediaAI #GenAIPlayground #LLMAgents #OpenAIAnthropic

    🔗 aidailypost.com/news/expedia-b

  32. 🚀 New from CrewAI: function‑based guardrails that let you enforce rule‑based constraints on LLM outputs. Perfect for language‑model agents and prompt engineers who need reliable, task‑specific behavior. Dive into the Analytics Vidhya breakdown and see how these guardrails can keep your AI safe and open‑source friendly. #CrewAI #FunctionGuardrails #LLMAgents #TaskGuardrails

    🔗 aidailypost.com/news/crewai-in

  33. 🚀 New from CrewAI: function‑based guardrails that let you enforce rule‑based constraints on LLM outputs. Perfect for language‑model agents and prompt engineers who need reliable, task‑specific behavior. Dive into the Analytics Vidhya breakdown and see how these guardrails can keep your AI safe and open‑source friendly. #CrewAI #FunctionGuardrails #LLMAgents #TaskGuardrails

    🔗 aidailypost.com/news/crewai-in

  34. AI‑driven browsers are hitting a wall: without redesigning sites for machine readability, agents stumble over UI affordances. A recent hackathon showed how VOIX and the System Usability Scale can guide LLM‑powered agents toward smoother navigation. Curious how the web must evolve for true AI browsing? Dive in. #AIbrowsing #UIAffordances #LLMAgents #MachineReadability

    🔗 aidailypost.com/news/ai-browsi

  35. AI‑driven browsers are hitting a wall: without redesigning sites for machine readability, agents stumble over UI affordances. A recent hackathon showed how VOIX and the System Usability Scale can guide LLM‑powered agents toward smoother navigation. Curious how the web must evolve for true AI browsing? Dive in. #AIbrowsing #UIAffordances #LLMAgents #MachineReadability

    🔗 aidailypost.com/news/ai-browsi

  36. Dự án mã nguồn mở mới cung cấp hạ tầng để triển khai tác nhân AI tự chủ (LLM agents) trên quy mô lớn. Hệ thống cho phép AI tự động điều khiển máy tính, cấp phát VMs, hoạt động phân tán và mở rộng linh hoạt. Toàn bộ kiến trúc là mã nguồn mở, giải quyết vấn đề cô lập, quy mô và độ tin cậy trong môi trường sản xuất. Hỗ trợ nhiều mô hình LLM.
    #MãNguồnMở #AINhânTạo #HạTầngAI #TựĐộngHóa #LLMAgents
    #OpenSource #AI #AIInfrastructure #Automation #LLMAgents

    reddit.com/r/opensource/commen

  37. 🧠 What if the smartest insights in your business came from a machine—before you even asked?
    It’s 3:00 AM. No dashboards. No team. Yet your AI already flagged risks, ran experiments, and drafted a strategy.
    This is the rise of Autonomous Data Discovery (ADD) — where LLMs think, act, and predict the unknown.

    👉 Read how it’s reshaping $34B+ worth of decisions:
    medium.com/@rogt.x1997/when-ma

    #AutonomousAI #DataDiscovery #LLMAgents #GenAI
    medium.com/@rogt.x1997/when-ma

  38. OpenAI: Was sind LLM-Agenten – und warum 2025 ihr Durchbruchsjahr ist? 🤖

    OpenAI startet neue Tools
    Agenten erledigen komplexe Tasks
    Entwickler-Guide jetzt online

    #ai #ki #artificialintelligence #OpenAI #LLMAgents #Entwicklung

    Jetzt LIKEN, teilen, LESEN und FOLGEN! Schreib uns in den Kommentaren!

    kinews24.de/llm-agents-openai-

  39. OpenAI: Was sind LLM-Agenten – und warum 2025 ihr Durchbruchsjahr ist? 🤖

    OpenAI startet neue Tools
    Agenten erledigen komplexe Tasks
    Entwickler-Guide jetzt online

    #ai #ki #artificialintelligence #OpenAI #LLMAgents #Entwicklung

    Jetzt LIKEN, teilen, LESEN und FOLGEN! Schreib uns in den Kommentaren!

    kinews24.de/llm-agents-openai-