David Williams

Great work!

The "AI job loss" narratives are all fake. AI = massive ramp in productivity = massive ramp in demand = massive jobs boom. Watch.

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It’s easy to dunk on Geoffrey Hinton for his 2016 declaration that it was “completely obvious” that radiologists would have no jobs within 5 years, while in fact, the number of radiologists has grown. But this prediction was more than a simple mistake. It’s a synedoche for the entire discourse of AI timelines and doom.

🚨 BREAKING: FEDERAL JUDGE JUST DESTROYED THE PENTAGON CASE AGAINST ANTHROPIC The Judge found Pentagon's own records show they designated Anthropic a supply chain risk for publicly criticizing the Pentagon's position >judge: "classic illegal First Amendment retaliation" >pentagon lawyers argued anthropic showed "subversive tendencies" by "questioning" and "raising concerns" about use of claude >the judge was not impressed >called the pentagon's argument "Orwellian" >pentagon claimed anthropic could remotely sabotage claude >judge asked: how? >anthropic submitted evidence they have ZERO access or control once deployed in classified systems >pentagon lawyer admits he was "unaware" of this >judge: so what's the legal basis for blacklisting anthropic from all contractors? >lawyer: "I don't know" >asked if Hegseth had authority for this: no >asked if it reflected DoW's actual intent: no >asked why he said it then: "I don't know" >emil michael wrote a memo calling anthropic a "hostile" "unacceptable national security threat" >NEXT DAY emailed dario: "After reviewing with our attorneys and seeing your last draft (thanks for being fast), I think we are very close here" >the judge: "It is exceedingly difficult to square this correspondence" >pentagon asked the court to impose a bond >the judge set it at $100 >that's the judicial equivalent of "get out of my courtroom" >the pentagon has 7 days to appeal The Judge found likely violations on the First Amendment, Fifth Amendment, and APA. Every single claim. ANTHROPIC OFFICIALLY WON.

The older I get, the more I realize intelligence is overrated. Intelligent people are more likely to overthink, overplan, and overanalyze. They hide behind motion that doesn't create progress. They fear the judgment of others if they're proven wrong. The truth is that intelligence is abundant. Courage is not. The people you admire are the ones who had the courage to act. They aren’t more talented than you. They aren’t smarter than you. They just took action when you didn’t. I often wonder how many extraordinary people wasted their entire lives waiting for permission that never came. Permission isn't granted. It's taken. You get to tap yourself in whenever you want. You can just do things. Courage beats intelligence.

🚨 Holy shit... LeCun's team just cracked world models wide open. Everyone's obsessing over the next Claude update. Meanwhile Yann LeCun quietly dropped a paper that could matter way more long term. It's called LeWorldModel. And to understand why it's a big deal, you need to understand the difference between what LLM does and what this does. LLMs predict the next word. That's it. They're incredibly good at language. But they don't understand reality. They can write about a ball bouncing off a wall. They can't predict where it lands. World models predict what happens next in the physical world. Objects moving, colliding, falling. That's the foundation for robots that plan, self-driving cars that simulate scenarios, any AI that needs to act in reality instead of just talk about it. The problem? World models kept collapsing. The model would cheat by mapping every input to the same output. Like a weather app that predicts "sunny" every single day. Technically it's predicting. It's just useless. And fixing this required 6+ loss hyperparameters, frozen pre-trained encoders, stop-gradient hacks, exponential moving averages. A house of cards just to keep the thing from breaking. LeCun's team (Mila, NYU, Samsung SAIL, Brown) threw all of that out. LeWorldModel uses just 2 loss terms. A prediction loss and a regularizer called SIGReg that forces representations to stay diverse instead of collapsing into garbage. 6 hyperparameters reduced to 1. The simplicity IS the breakthrough. The numbers: 15M parameters. Trains on a single GPU in a few hours. Plans up to 48x faster than foundation-model-based world models. Uses roughly 200x fewer tokens than alternatives. Competitive across 2D and 3D control tasks. This isn't a supercomputer experiment. You could run this on your own hardware. LeCun has been pushing JEPA as the architecture for real AI since 2022. The criticism was always the same: "sounds nice, doesn't train stably." LeWorldModel just removed that objection. Small model. Stable training. No hacks. No frozen encoders. No collapse. Two AI futures are competing right now. Path 1: bigger LLMs, more text, more compute. Path 2: world models that learn physics from raw pixels and plan in real time. LeWorldModel is the strongest signal yet that Path 2 is real, getting cheaper, and closing in fast.