
Solid
6.4K posts

Solid
@solidasarock77
Follower of Christ, husband, dad, I trade the markets, business owner, real estate investor. I have opinions, but Nothing I say is investment advice.




That was one of the greatest displays of legacy news hit job media (CNBC) vs. new age retail pioneers (Ryan Cohen and $GME) where the old guard is so desperately trying to cling to what's left of their crumbling establishment. Cohen's indifference to Sorkin's childish repetitive questioning was an absolute mog.

Burry sold GME bc of 5x leverage on non-PE-adjusted EBITDA and sub 4x coverage. Please compare that to average private credit leverage looool.

$GME Michael Burry Sells All His GameStop Stock - WSJ The deal makes sense, but let sell first lol









10 to 70 on $MU swing. 600 can come today.


Andrew was literally left speechless from Ryan Cohen's answer regarding $GME ($12b marketcap) acquiring $EBAY ($46b marketcap)...





Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.




