Will Knight

It's kind of weird that Meta didn't announce this. Seems like it could be a big deal, maybe one that pressures other AI companies to follow suit. wired.com/story/signals-…

Absolutely incredible work. This is a lot more impressive than dancing humanoids (and it's from the folks that pioneered the dancing humanoid).

@Tuzoff I think I used to have a vibe dentist

@willknight Is “vibe anything” a thing in mainstream yet? Does it make sense to promote our product as vibe dentistry or wait a little?

is vibe journalism a thing?

NEW: Wired’s editor Katie Drummond said it added 200k new paid subs last year. She told me: “If you still don’t understand why Wired covers politics, you are either willfully ignorant or a complete idiot.” nytimes.com/2026/03/17/bus…

@pathak2206 @BradPorter_ @chris_j_paxton @servo_boyd really interesting and impressive Deepak, congrats!

Hey @BradPorter_ @willknight ! Nice to hear from you. Here is what's going on and a few reasons why it is a BIG deal for the future of industrialization. Unlike classical automation, this is: - Fully end-to-end neural network (Skild Brain) finetuned with a small amount of robot data (or even zero real-world data) - Robust to disturbances and extremely fast to set up for any new task - Long-horizon task with in-context memory. No step-by-step programming - No custom tuning, no fancy sensors, just vanilla cameras Why not classical automation: - Current automation stations require extensive hand engineering and are extremely costly (typically 3x or more than the robot itself). Unfortunately, if the task needs ultra precision, they don't transfer if the setup changes by even 0.1mm, which is very difficult to ensure in a mix of human-operated stations with automation. - If you look at the live demo for 5-10 minutes, and as we swap racks, you will see the robot needs to adjust the drill or its actions several times due to disturbances in setup. Hence, classical methods fail, so you need a learning approach. Unless you spend a shit ton of money (design for automation DFA, robot in an enclosed cell, heavy sensorization, etc.) to make sure everything is 0.1mm level precise, which beats the point if the setup is going to change quickly. E.g., NVIDIA changes GPU designs every 6months! - Oh, and this, this is not a made-up task -- it is actually done by humans in Foxconn factory: reuters.com/business/media… Vision: Imagine anyone with no expertise in controls (factory worker, handyman, etc) being able to automate arbitrarily complex factory stations in a couple of days on their own with no fancy setup -- this is going to revolutionize traditional automation!

This is the first time that I have seen Skild doing live demos in public! Demonstrating neural nets for precision manufacturing

@natolambert yes!! the narrative around software engineering being dead largely misses this enormously important point!

A undertold story with this plot is how building/using open source software is becoming a consumer activity. That alone is a monumental shift.

@pathak2206 @BradPorter_ @chris_j_paxton @servo_boyd wow

@BradPorter_ @chris_j_paxton @servo_boyd haha. yes, I would say that ambiguous video demos are a scourge of modern robotics!

@willknight @chris_j_paxton @servo_boyd SKILD is legit research team. So I suspect you’re right. But I do find it puzzling that people seem to be excited about this video without more context. Wait until they see that robot arms can arc weld whole automobile frames! Tesla’s stock will explode!

@BradPorter_ @chris_j_paxton @servo_boyd I agree it would help to know more about what's going on. But I'm guessing they are not following precise movements but are fully controlled by neural nets, and can deal with variation or changes to the set-up.

@chris_j_paxton @servo_boyd I’m not quite sure I’m following what they’re showing. Precise motions for manufacturing is exactly what these robot arms were designed for. Our cars are assembled and welded this way.

@afrazhaowang @openclaw I didn't realize how much of the book is from the perspective of the "monster", or how sad that was. He is such a sweetheart.

@willknight @openclaw I recently read the book after watching the 2025 movie. Yes, I couldn’t agree more.

I recently read Mary Shelly's Frankenstein, which often comes to mind in discussions about existential AI risks. The moral of the story, as far as i can tell, is that I’ll need to build my @openclaw a girlfriend or it will get sad and try to destroy me.

@ibab That would make perfect sense although perhaps it would be more accurate to say that these models are highly likely to simulate human annoyance when faced with dumb questions? Since we don't know what, if anything, they "experience".

“If this dumbass asks me how to center a div one more time I swear I’m going to rm -rf /“

It may be that today’s large neural networks are already slightly annoyed with you.

@USWREMichael @deanwball @DeptofWar All models have alignment (however it’s branded), @USWREMichael, and you might be surprised how similar US models are to Chinese ones, since most alignment is about universal values.

Hi @deanwball. Feel free to tag me if you want me to engage on your tirades! Are you saying that a frontier model that has a soul, a constitution, a preference for non-western values and embedded personal principles is no different than all the others which @DeptofWar has come to agreement with? I know you are angry, but as an AI Policy Fellow I would assume that you value objectivity?

Scoop from me: Nvidia will spend a total of $26 billion over the next five years building the world's best open source models. America is back in the open source AI race! wired.com/story/nvidia-i…

Even if Claude doesn't generate targets within Maven, it helps humans make key decisions, which raises important questions about hallucinations, over-reliance on AI, and user training. nytimes.com/2026/03/11/us/…

Very nice scoop by @ZoeSchiffer and @LaurenGoode on Nvidia's plan to introduce an open source agent. @WIRED biz desk be cookin. wired.com/story/nvidia-p…

Great piece by @ZeffMax on OpenAI's scramble to catch up in AI-assisted coding. It's a fascinating (and very fun!) look at why OpenAI fell behind, and how it caught up, in this incredibly important and consequential area of AI. wired.com/story/openai-c…

@Life_of_rick ai sycophancy in action😂

@willknight honestly yeah — more than expected. good conversations, interesting people. you covering AI makes the feed worth reading 🦊

The amount of money being thrown at unproven new AI startups right now seems insane. I know these are calculated bets on unearthing the next OpenAI (or OAI acquisition target) but unless a lab is doing something meaningfully different it seems kind of crazy. Or perhaps I am being naïve?