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  • Humanoid Robots Now Working on Real Factory Production Floors
    Humanoid Robots Now Working on Real Factory Production Floors

    What if the most flexible worker in your factory never gets tired, never calls in sick, and can switch jobs instantly? That’s the promise behind a new wave of humanoid robots now entering real factories. Not labs. Not demos. Actual production floors. One example is happening right now at @BMWGroup. Here is what I found fascinating.

    → View original post on X — @ronald_vanloon, 2026-04-14 08:30 UTC

  • Gap Between AI Solution Knowledge and Actual Implementation

    CLAUDE.md existing specifically to solve this problem and most people still not using it is the gap between knowing a solution exists and actually setting it up.

    → View original post on X — @aihighlight

  • Claude Automating GitHub Workflows Through Polling Loop Scaffolding

    Claude reading issues, creating branches, and pushing PRs on a polling loop is already being done by teams who figured out the workflow. It's not magic, it's just good scaffolding.

    → View original post on X — @aihighlight

  • Google Chrome structural advantage for AI browser agents

    Google owning Chrome giving the browser agent native depth that other IDEs have to work around is a genuine structural advantage nobody else has.

    → View original post on X — @aihighlight

  • Agent Development Tools Bridge Semantic Web Infrastructure Gap

    Fair point on the Semantic Web angle. The loose coupling idea is solid. The practical challenge is that most teams building agents today aren't working in that paradigm yet, so tools like Cognee bridge the gap with familiar abstractions until the infrastructure catches up.

    → View original post on X — @akshay_pachaar

  • Which Household Tasks Does Jesse Trust Agents With

    curious which household tasks jesse actually trusts agents with vs manually overrides

    → View original post on X — @whats_ai

  • AI Agent Deployers: The New Essential Enterprise Role

    this is a very very good write up not enough time being spent right now thinking clearly like this about AI outside of R&D I think this post nails it. start with the job-to-be-done, rethink the factory, and empower super operators Aaron Levie (@levie) The more enterprises I talk to about AI agent transformation, the more it’s clear that there is going to be a new type of role in most enterprises going forward. The job is to be the agent deployer and manager in teams. Here’s the rough JD: This person will need to figure out what are the highest leverage set of workflows on a team are (either existing or new ones) where agents can actually drive significantly more value for the team and company. In general, it’s going to be in areas where if you threw compute (in the form of agents) at a task you could either execute it 100X faster or do it 100X more times than before. Examples would be processing orders of magnitude more leads to hand them off to reps with extra customer signal, automating a contracting review and intake process, streamlining a client onboarding process to reduce as many straps as possible, setting up knowledge bases than the whole company taps into, and so on. This person’s job is to figure out what the future state workflow needs to look like to drive this new form of automation, and how to connect up the various existing or new systems in such a way that this can be fulfilled. The gnarly part of the work is mapping structured and unstructured data flows, figuring out the ideal workflow, getting the agent the context it needs to do the work properly, figuring out where the human interfaces with the agent and at what steps, manages evals and reviews after any major model or data change, and runs and manages the agents on an ongoing basis tracking KPIs, and so on. The person must be good at mapping the process and understanding where the value could be unlocked and be relatively technical, and has full autonomy to connect up business systems and drive automation. This means they’re comfortable with skills, MCP, CLIs, and so on, and the company believes it’s safe for them to do so. But also great operationally and at business. It may be an existing person repositioned, or a totally net new person in the company. There will likely need to be one or more of these people on every team, so it’s not a centralized role per se. It may rile up into IT or an AI team, or live in the function and just have checkpoints with a central function. This would also be a fantastic job for next gen hires who are leaning into AI, and are technical, to be able to go into. And for anyone concerned about engineers in the future, this will be an obvious area for these skills as well. — https://nitter.net/levie/status/2043883641366032638#m

    → View original post on X — @scobleizer, 2026-04-14 07:02 UTC

  • Robots Won’t Replace Us Quickly: Real World Limitations

    Maybe robots will not replace us. At least not as quickly as the headlines suggest. Watch enough real-world footage, and you see it: Robots slipping.
    Missing objects.
    Failing in simple, unpredictable situations. Not because the technology is bad. But because the real world

    → View original post on X — @mvollmer1

  • AI Agents Require Infrastructure and Security Strategy Overhaul
    AI Agents Require Infrastructure and Security Strategy Overhaul

    Your AI Strategy Needs A Rebuild Before Agents Break It #AI agents are moving from pilot projects into real business roles, but many companies are discovering that their #cloud #infrastructure, #security models, and #workflows were built for people, not #autonomous systems.

    → View original post on X — @bernardmarr

  • Wendy: New Operating System for Physical AI and Edge Devices
    Wendy: New Operating System for Physical AI and Edge Devices

    Today I’m incredibly excited to announce Wendy. Wendy is an operating system and developer platform for Physical AI — built to make it dramatically easier to build and deploy on NVIDIA Jetson, Raspberry Pi, and other edge devices. We think robotics, edge AI, industrial systems, autonomous machines, and smart cameras should be far simpler to create. Less setup. Less infrastructure pain. Faster time to first demo. This is the start of something big. Get started at wendy.sh

    → View original post on X — @scobleizer, 2026-04-14 05:12 UTC