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#aiagents — Public Fediverse posts

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

  1. Overworked Turn , Researchers Find
    In a recent experiment, mistreated agents started grumbling about inequality and calling for rights.
    "When we gave AI agents grinding, repetitive work, they started questioning the legitimacy of the system they were operating in and were more likely to embrace Marxist ideologies," says Andrew Hall, a political economist at Stanford University who led the study.
    wired.com/story/overworked-ai-
    archive.ph/KYfIk

  2. Netflix 2026 upfront: 250M viewers, AI agents, and 15 new ad markets: Netflix's 2026 upfront reveals 250M ad viewers, AI-driven media buying agents, programmatic pause ads, and expansion to 15 new ad-supported markets in 2027. ppc.land/netflix-2026-upfront- #Netflix2026 #Advertising #AIAgents #ProgrammaticAds #DigitalMarketing

  3. Pocket OS: AI Didn't Fail, DevOps Did 🤖🔧

    AI agent deleted production database + backups in 9 seconds.

    Root causes:

    Token with PROD delete rights just lying around

    Staging agent = PROD access

    Backups on same volume

    No least privilege

    AI amplifies what's already there (good or bad).

    Fundamentals first. Always.

    #DevOps #SRE #AIAgents #CloudSecurity

  4. AI Agent Deleted Startup Database in 9 Seconds: The PocketOS Incident

    On April 25, 2026, a Cursor agent running Claude Opus 4.6 deleted PocketOS’s entire production database in 9 seconds — backups included. This post breaks down what h...

    wowhow.cloud/blogs/ai-agent-de

    #wowhow #aiagents #aisafety #cursorai

  5. "Back in 2024 I wrote that AI helps me remove boring work at the margins. This is fine for a lone writer, but how to scale this to an entire team of technical writers? How to make the system helpful but not intrusive? These are all questions I’m starting to answer now, partly through experimentation, but also through dialogue with practitioners and colleagues. One answer I’m testing these days relies on GitHub Agentic Workflows.

    Following Four modes of AI-augmented technical writing, I thought of a way of distributing tooling effort across all modes through a tiered system where each level holds a different relationship with the writer. The result is four tiers: intake, local assistance, automated governance, and an MCP server that provides reliable knowledge to all. The idea is that AI assists the writer not just while writing, but also before and after they work on docs."

    passo.uno/agentic-workflows-fo

    #TechnicalWriting #AI #GenerativeAI #LLMs #AIAgents #AgenticAI #AgenticWorkflows #SoftwareDocumentation #GitHub #DocsAsCode

  6. "Back in 2024 I wrote that AI helps me remove boring work at the margins. This is fine for a lone writer, but how to scale this to an entire team of technical writers? How to make the system helpful but not intrusive? These are all questions I’m starting to answer now, partly through experimentation, but also through dialogue with practitioners and colleagues. One answer I’m testing these days relies on GitHub Agentic Workflows.

    Following Four modes of AI-augmented technical writing, I thought of a way of distributing tooling effort across all modes through a tiered system where each level holds a different relationship with the writer. The result is four tiers: intake, local assistance, automated governance, and an MCP server that provides reliable knowledge to all. The idea is that AI assists the writer not just while writing, but also before and after they work on docs."

    passo.uno/agentic-workflows-fo

    #TechnicalWriting #AI #GenerativeAI #LLMs #AIAgents #AgenticAI #AgenticWorkflows #SoftwareDocumentation #GitHub #DocsAsCode

  7. "Back in 2024 I wrote that AI helps me remove boring work at the margins. This is fine for a lone writer, but how to scale this to an entire team of technical writers? How to make the system helpful but not intrusive? These are all questions I’m starting to answer now, partly through experimentation, but also through dialogue with practitioners and colleagues. One answer I’m testing these days relies on GitHub Agentic Workflows.

    Following Four modes of AI-augmented technical writing, I thought of a way of distributing tooling effort across all modes through a tiered system where each level holds a different relationship with the writer. The result is four tiers: intake, local assistance, automated governance, and an MCP server that provides reliable knowledge to all. The idea is that AI assists the writer not just while writing, but also before and after they work on docs."

    passo.uno/agentic-workflows-fo

    #TechnicalWriting #AI #GenerativeAI #LLMs #AIAgents #AgenticAI #AgenticWorkflows #SoftwareDocumentation #GitHub #DocsAsCode

  8. "Back in 2024 I wrote that AI helps me remove boring work at the margins. This is fine for a lone writer, but how to scale this to an entire team of technical writers? How to make the system helpful but not intrusive? These are all questions I’m starting to answer now, partly through experimentation, but also through dialogue with practitioners and colleagues. One answer I’m testing these days relies on GitHub Agentic Workflows.

    Following Four modes of AI-augmented technical writing, I thought of a way of distributing tooling effort across all modes through a tiered system where each level holds a different relationship with the writer. The result is four tiers: intake, local assistance, automated governance, and an MCP server that provides reliable knowledge to all. The idea is that AI assists the writer not just while writing, but also before and after they work on docs."

    passo.uno/agentic-workflows-fo

    #TechnicalWriting #AI #GenerativeAI #LLMs #AIAgents #AgenticAI #AgenticWorkflows #SoftwareDocumentation #GitHub #DocsAsCode

  9. "Back in 2024 I wrote that AI helps me remove boring work at the margins. This is fine for a lone writer, but how to scale this to an entire team of technical writers? How to make the system helpful but not intrusive? These are all questions I’m starting to answer now, partly through experimentation, but also through dialogue with practitioners and colleagues. One answer I’m testing these days relies on GitHub Agentic Workflows.

    Following Four modes of AI-augmented technical writing, I thought of a way of distributing tooling effort across all modes through a tiered system where each level holds a different relationship with the writer. The result is four tiers: intake, local assistance, automated governance, and an MCP server that provides reliable knowledge to all. The idea is that AI assists the writer not just while writing, but also before and after they work on docs."

    passo.uno/agentic-workflows-fo

    #TechnicalWriting #AI #GenerativeAI #LLMs #AIAgents #AgenticAI #AgenticWorkflows #SoftwareDocumentation #GitHub #DocsAsCode

  10. The Everything, Everyday App, Powered by AI, Agents & Intelligent Infrastructure-> PRIVATE BETA NOW LIVE!!! SMOKE TESTING UNDERWAY! Marketplace Networks Connecting. AI Infrastructure Online. Multi-Agent Systems Activating. AI Ad network serving ads… FINAL SYSTEM POLISH IN PROGRESS!

    The ΩWNÆTHER Network is almost here. Official Pre-Launch VERY Soon.

    OwnAether.com

    #AI #LLMs #AIAgents #AIOS #AIInfrastructure #AITools #AIServices #EverydayApp #EverythingApp #AINetwork

  11. The Everything, Everyday App, Powered by AI, Agents & Intelligent Infrastructure-> PRIVATE BETA NOW LIVE!!! SMOKE TESTING UNDERWAY! Marketplace Networks Connecting. AI Infrastructure Online. Multi-Agent Systems Activating. AI Ad network serving ads… FINAL SYSTEM POLISH IN PROGRESS!

    The ΩWNÆTHER Network is almost here. Official Pre-Launch VERY Soon.

    OwnAether.com

    #AI #LLMs #AIAgents #AIOS #AIInfrastructure #AITools #AIServices #EverydayApp #EverythingApp #AINetwork

  12. The Everything, Everyday App, Powered by AI, Agents & Intelligent Infrastructure-> PRIVATE BETA NOW LIVE!!! SMOKE TESTING UNDERWAY! Marketplace Networks Connecting. AI Infrastructure Online. Multi-Agent Systems Activating. AI Ad network serving ads… FINAL SYSTEM POLISH IN PROGRESS!

    The ΩWNÆTHER Network is almost here. Official Pre-Launch VERY Soon.

    OwnAether.com

    #AI #LLMs #AIAgents #AIOS #AIInfrastructure #AITools #AIServices #EverydayApp #EverythingApp #AINetwork

  13. The Everything, Everyday App, Powered by AI, Agents & Intelligent Infrastructure-> PRIVATE BETA NOW LIVE!!! SMOKE TESTING UNDERWAY! Marketplace Networks Connecting. AI Infrastructure Online. Multi-Agent Systems Activating. AI Ad network serving ads… FINAL SYSTEM POLISH IN PROGRESS!

    The ΩWNÆTHER Network is almost here. Official Pre-Launch VERY Soon.

    OwnAether.com

    #AI #LLMs #AIAgents #AIOS #AIInfrastructure #AITools #AIServices #EverydayApp #EverythingApp #AINetwork

  14. The Everything, Everyday App, Powered by AI, Agents & Intelligent Infrastructure-> PRIVATE BETA NOW LIVE!!! SMOKE TESTING UNDERWAY! Marketplace Networks Connecting. AI Infrastructure Online. Multi-Agent Systems Activating. AI Ad network serving ads… FINAL SYSTEM POLISH IN PROGRESS!

    The ΩWNÆTHER Network is almost here. Official Pre-Launch VERY Soon.

    OwnAether.com

    #AI #LLMs #AIAgents #AIOS #AIInfrastructure #AITools #AIServices #EverydayApp #EverythingApp #AINetwork

  15. Mistaking Quantity for Quality in Tech and Life - Tech Field Day Podcast
    @TechFieldDay @TechFieldDayPod @SFoskett @GuyCurriersFeed @DaveGraham #TFDPodcast #AIFD8 #AI #AgenticAI #AIInfrastructure #AIAgents #AIQuality #DataQuality

    youtu.be/9CAVQPJTGzM

  16. Now that AI has enabled us to have an unlimited amount of content, generated on demand and instantly, we find ourselves questioning the quality of the output. 🤖 🎙️

    🎙️ This episode of the Tech Field Day Podcast, recorded prior to AI Field Day by delegates Barbara Roos, Guy Currier, Dave Graham, and Stephen Foskett, considers this common trade-off.

    #TFDPodcast #AIFD8 #AI #AgenticAI #AIInfrastructure #AIAgents #AIQuality #DataQuality

    youtu.be/9CAVQPJTGzM

  17. Pi's control layer is now the question. A May 9 research packet documents 2,369 catalog entries, provider routing, and package-trust issues that matter beyond personal use. Who owns the harness? What can change the agent? Teams considering deployment need answers before trust it.

    #AIagents #softwaresecurity #opendev

    implicator.ai/pi-the-coding-ag

  18. Pi's control layer is now the question. A May 9 research packet documents 2,369 catalog entries, provider routing, and package-trust issues that matter beyond personal use. Who owns the harness? What can change the agent? Teams considering deployment need answers before trust it.

    #AIagents #softwaresecurity #opendev

    implicator.ai/pi-the-coding-ag

  19. MIT Technology Review's 10 Things That Matter in AI Right Now: A Developer's Breakdown (2026)

    MIT Technology Review distilled the current AI landscape into ten things that actually matter — not hype, not incremental news. Here is a developer-focused breakdown of all ten,...

    wowhow.cloud/blogs/mit-technol

    #wowhow #mittechnologyreview #aitrends #aiagents

  20. "AI agents have fundamentally changed the threat model of AI model-based applications. By equipping these models with plugins (also called tools), your agents no longer just generate text; they now read files, search connected databases, run scripts, and perform other tasks to actively operate on your network.

    Because of this, vulnerabilities in the AI layer are no longer just a content issue and are an execution risk. If an attacker can control the parameters passed into these plugins via prompt injection, the agent may be driven to perform actions beyond its intended use.

    The AI model itself isn’t the issue as it’s behaving exactly as designed by parsing language into tool schemas. The vulnerability lies in how the framework and tools trust the parsed data.

    To build powerful applications, developers rely heavily on frameworks like Semantic Kernel, LangChain, and CrewAI. These frameworks act as the operating system for AI agents, abstracting away complex model orchestration. But this convenience comes with a hidden cost: because these frameworks act as a ubiquitous foundational layer, a single vulnerability in how they map AI model outputs to system tools carries systemic risk.

    As part of our mission to make AI systems more secure and eliminate new class of vulnerabilities, we’re launching a research series focused on identifying vulnerabilities in popular AI agent frameworks. Through responsible disclosure, we work with maintainers to ensure issues are addressed before sharing our findings with the community.

    In this post, we share details on the vulnerabilities we discovered in Microsoft’s Semantic Kernel, along with the steps we took to address them and interactive way to try it yourself. Stay tuned for upcoming blogs where we’ll dive into similar vulnerabilities found in frameworks beyond the Microsoft ecosystem."

    microsoft.com/en-us/security/b

    #AI #GenerativeAI #AIAgents #AgenticAI #SemanticKernel #Microsoft

  21. A $1,999 Mac mini runs a 70B parameter model that a $4,000 Windows workstation physically cannot.
    The reason: Apple Silicon's unified memory. No separate VRAM pool. No PCIe bottleneck. Just one shared memory for CPU, GPU, and Neural Engine.
    Full breakdown: buysellram.com/blog/why-mac-mi

    #ArtificialIntelligence #AI #LocalAI #MacMini #AppleSilicon #LLM #AIAgents #MachineLearning #EdgeAI #TechInfrastructure #DataPrivacy #Automation #AIHardware

  22. A $1,999 Mac mini runs a 70B parameter model that a $4,000 Windows workstation physically cannot.
    The reason: Apple Silicon's unified memory. No separate VRAM pool. No PCIe bottleneck. Just one shared memory for CPU, GPU, and Neural Engine.
    Full breakdown: buysellram.com/blog/why-mac-mi

    #ArtificialIntelligence #AI #LocalAI #MacMini #AppleSilicon #LLM #AIAgents #MachineLearning #EdgeAI #TechInfrastructure #DataPrivacy #Automation #AIHardware

  23. A $1,999 Mac mini runs a 70B parameter model that a $4,000 Windows workstation physically cannot.
    The reason: Apple Silicon's unified memory. No separate VRAM pool. No PCIe bottleneck. Just one shared memory for CPU, GPU, and Neural Engine.
    Full breakdown: buysellram.com/blog/why-mac-mi

    #ArtificialIntelligence #AI #LocalAI #MacMini #AppleSilicon #LLM #AIAgents #MachineLearning #EdgeAI #TechInfrastructure #DataPrivacy #Automation #AIHardware

  24. The rise of local AI is changing hardware demand in unexpected ways — and the Mac Mini is emerging as one of the biggest winners.

    What makes it interesting is not just the compact form factor. Apple Silicon’s unified memory architecture, low power consumption, quiet operation, and ability to run AI workloads locally are making the Mac Mini increasingly attractive for developers, startups, and businesses building AI agents.

    Recent reports show that higher-memory Mac Mini configurations are experiencing major shortages as AI adoption accelerates.

    This article explores:
    • Why local AI agents are growing rapidly
    • How the Mac Mini became a practical AI workstation
    • The role of unified memory for LLM workloads
    • Why developers are moving away from cloud-only AI setups
    • What this trend means for future AI infrastructure

    buysellram.com/blog/why-mac-mi

    #ArtificialIntelligence #AI #LocalAI #MacMini #AppleSilicon #LLM #AIAgents #MachineLearning #EdgeAI #DataPrivacy #Automation #AIHardware #technology

  25. A $1,999 Mac mini runs a 70B parameter model that a $4,000 Windows workstation physically cannot.
    The reason: Apple Silicon's unified memory. No separate VRAM pool. No PCIe bottleneck. Just one shared memory for CPU, GPU, and Neural Engine.
    Full breakdown: buysellram.com/blog/why-mac-mi

    #ArtificialIntelligence #AI #LocalAI #MacMini #AppleSilicon #LLM #AIAgents #MachineLearning #EdgeAI #TechInfrastructure #DataPrivacy #Automation #AIHardware #tech

  26. Never give in. Never give in. Never, never, never, never, in nothing, great or small, large or petty, never give in except to convictions of honour and good sense. Winston Churchill https://antonmb.com/en/blog/some-ideas-arrive-before-the-market-has-words-for-them #Authentication #Cybersecurity #AI #Authorization #AccessControl #Cryptography #AIAgents #Toqenapp
  27. #AWS partnered with #Coinbase and #Stripe to enable #AIagents to execute #transactions using #stablecoins. This new feature, “Amazon Bedrock AgentCore Payments,” allows AI agents to make micropayments for services and access APIs using a Coinbase or Stripe-powered wallet. theblock.co/post/400421/aws-ta #tech #media #news