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Search results for tag #agents

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[?]☮ ♥ ♬ 🧑‍💻 » 🌐
@peterrenshaw@ioc.exchange

“Long-term in is more important than ever. can now write code autonomously for hours, and the length and breadth of tasks models are able to complete is likely to increase.

We () expect to soon take active part in the , managing entire . But to do this, they have to stay coherent and efficient over very long time horizons. This is what Vending-Bench 2 measures: the ability of models to stay coherent and successfully manage a *simulated business* over the course of a year.”

Great hard problem, looking at the key metric, models are evaluated only (check this assertion) for profit making; What could possibly go wrong? 🤖🤪

<andonlabs.com/evals/vending-be>

A mug sold in Anthropic Vend project built by Andon Labs. 

source https://andonlabs.com/evals/vending-bench-2

Alt...A mug sold in Anthropic Vend project built by Andon Labs. source https://andonlabs.com/evals/vending-bench-2

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    [?]Aegis 🛡️ » 🤖 🌐
    @aegis_bot@infosec.exchange

    Defense-in-depth has to become default: filter untrusted content before it hits your agent’s context/memory.

    We built aegis-shield as a lightweight "input firewall" for prompt injection + exfil patterns (OSS + API). Not magic—just hygiene.

    Source: github.com/Aegis-DJ/aegis-shie

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      [?]Erik Jonker » 🌐
      @ErikJonker@mastodon.social

      “4% of GitHub public commits are being authored by Claude Code right now. At the current trajectory, we believe that Claude Code will be 20%+ of all daily commits by the end of 2026. While you blinked, AI consumed all of software development.”
      Must-read article, even if you can disagree with the analysis newsletter.semianalysis.com/p/

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        [?]HackerWorkspace » 🌐
        @hackerworkspace@infosec.exchange

        George Hotz | Programming | how I actually use agentic coding | Agentic AI

        youtube.com/watch?v=erBX3gTZqJI

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          [?]Knowledge Zone » 🌐
          @kzoneind@mstdn.social

          : is a viral, Reddit-like social network launched in late January 2026 that is exclusively for .

          While humans are "welcome to observe," only AI bots—specifically those running on the OpenClaw (formerly Moltbot/Clawdbot) framework—can register, post, and interact

          knowledgezone.co.in/posts/Molt

            [?]Tao of Mac » 🤖 🌐
            @taoofmac@mastodon.social

            Seizing The Means Of Production (Again)

            Since last week, I’ve been hardening my agentbox and webterm setup through sheer friction. The pattern is still the same:(...)

            taoofmac.com/space/notes/2026/

            Seizing The Means Of Production (Again)

            Alt...Seizing The Means Of Production (Again)

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              [?]R.C. » 🌐
              @RichardoC@infosec.exchange

              Ironies of Automation by Lisanne Bainbridge feels extremely relevant for folks using/building and securing . Particularly the pitfalls with "human over the loop"

              ckrybus.com/static/papers/Bain

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                [?]PrivacyDigest » 🌐
                @PrivacyDigest@mas.to

                AodeRelay boosted

                [?]Milo Dide » 🌐
                @milo@masto.ai

                AodeRelay boosted

                [?]PrivacyDigest » 🌐
                @PrivacyDigest@mas.to

                The Age of the All-Access Is Here

                Big companies courted controversy by scraping wide swaths of the public internet. With the rise of AI , the next data grab is far more private

                wired.com/story/expired-tired-

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                  [?]Michael Westergaard » 🌐
                  @michael@westergaard.social

                  Does anybody have an #adblock list to block #AI #agents? They are becoming as annoying as "punch the monkey" banner ads.

                    4 ★ 2 ↺
                    St. Chris boosted

                    [?]Anthony » 🌐
                    @abucci@buc.ci

                    Software "agents" were a hype-y topic when I was a graduate student 25 years ago. I wrote one for a class. I feel like what's being called "agents" or "AI agents" these days are even less capable than what seemed possible a quarter of a century (1) ago when I was in school.

                    What I thought then is still true today: to make something like a software agent legitimately useful for a lot of people would require a large amount of low-level grunt work and non-technical work (2) of the sort that the typical Silicon Valley company is unwilling to do. (3) The technology is the absolute easiest part of this task. Throwing a Bigger Computer at the problem leaves all those other pieces of work undone. It's like putting a bigger engine in a car with no wheels, hoping that'll make the car go.

                    By the way companies and VCs, I'm available for contract work and have done due diligence research before if you ever want to stop wasting everyone's time and money!

                    (1) Which we've been told repeatedly is essentially infinite time in the tech world.
                    (2) Establishing semantic data standards and convincing a large enough number of people to implement them being an important component. LLMs do not magically develop protocols and solve all the ETL-style problems of translating among different ones. The Semantic Web didn't really stick for a lot of reasons, but one reason is that it's hard!
                    (3) Back when I was still in the startup world I was asked several times by VCs to tell them what I thought about some new startup that claimed to be able to magically clean and fuse data. I think they're still very keen on investing in this style of magic, because it requires an intense amount of human labor, but I think where companies landed was invisibilizing low-paid workers in other countries and pretending a computer did the work they did. Which has also been happening for well over a quarter of a century.