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

    By

    @ronald_vanloon

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    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

  • Engineer Skills Transfer Path to AI Agents Market

    By

    @aihighlight

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    For engineers concerned about the future this is the clearest adjacent path. The skills transfer directly and the demand is already outpacing supply at companies taking agents seriously.

    → View original post on X — @aihighlight

  • AI Entrepreneurship Benefits Mostly Those Already Privileged

    By

    @aihighlight

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    The people who will actually benefit from AI-enabled entrepreneurship are mostly the ones who already had resources, education, and time. The framing papers over that gap.

    → View original post on X — @aihighlight

  • Microsoft’s expensive AI tools amid office returns and layoffs

    By

    @aihighlight

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    Microsoft's cheapest option being $1149 while simultaneously trying to mandate office returns and cut 10% of staff is a specific kind of corporate energy.

    → View original post on X — @aihighlight

  • Developer leverage: Deep systems understanding and precise AI direction

    By

    @aihighlight

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    The developers who will have the most leverage in 5 years are the ones who understand systems deeply and can direct AI tools precisely. That combination requires both.

    → View original post on X — @aihighlight

  • AI Curation Era: X’s Shift Away from Human Curators

    By

    @scobleizer

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    A couple of days ago @nikitabier announced that they would be penalized from here on, at least in payments. I got the message. Which is one reason why I have my AI reading all of the AI community here on X and telling you what's important. It gives you a dramatically different view of the AI world here on X than you can get from X: alignednews.com/ai Having your own AI reading the communities you care about gives you a lot better view of what's actually being discussed that doesn't often make it to your feed. No longer are we seeing what's popular, but what AI has picked for us to see. In many ways that's an improvement but I miss the old world too. Curators who read thousands of posts every day and reshare the best are being "turned down." It is unclear whether AI generated custom feeds can ever get any distribution to make them profitable. Running custom AI's costs money. Mine costs $100 or more per day in tokens and $300 a day in API calls (the site is wholly generated via the X API since terms of service here forbids scraping the data). It's an end of an era where humans really have much to do with what other humans see. Now we are in a completely AI run world. I am seeing a few understanding this and building an @OpenClaw or a Hermes system to build new personalized news services for their owners. That will be a must for those of us who really want to see the news in an unbiased way (every AI is biased, including mine, since I taught it over two months of talking to it about what I wanted it to present to me and you). I need to turn this into a business that at least covers the costs that @blevlabs and I are running up, or else it will have to be shut down, which would be a shame, since I know it brings a few people value. Working on that the rest of the week.

    → View original post on X — @scobleizer, 2026-04-14 08:19 UTC

  • Waymo Tesla Price War in Autonomous Vehicle Market Predicted

    By

    @scobleizer

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    In about three years Waymo and Tesla will have a price war. Autonomous vehicles cost about $4 an hour to operate. Add a human and the cost goes up to $22 (or more). The higher price is just to recoup the R&D costs and because of novelty. The novelty will last about three

    → View original post on X — @scobleizer

  • Philosophy of Mind Researcher Joins DeepMind

    By

    @whats_ai

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    huge for philosophy of mind to actually land inside deepmind, congrats henry!

    → View original post on X — @whats_ai

  • AI Agent Deployers: The New Essential Enterprise Role

    By

    @scobleizer

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    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

    By

    @mvollmer1

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    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