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#llm-agents — Public Fediverse posts

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  1. 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
  2. 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

  3. 🐱🦾 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

  4. 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

  5. 🧠 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