
Konol Tllo
1K posts







Fuck there was an opportunity to buy secondaries at $1.8B back in 2024, and I skipped it as everyone around me(including me) thought it was a fucking scam

the #1 sign of an AI bubble popping is slowing demand for chips. TSMC just posted their slowest revenue month tsmc IS the ai chip market. they’re responsible for 99.9% of NVIDIA’s GPU production but the story is a little more nuanced: > revenue grew 17.5% in april, modest but not mind-blowing. > they’ll need to post blow-out May and June revenue numbers to signal confidence in the markets > demand for smartphone chips (which they produce) is slowing too. pricing is too high killing demand from consumers. tsmc is THE core bottleneck for AI. slowing demand might be a sign we’re due for a breather in the markets. let’s see how may and june pan out




TSMC reported a 17.5% increase in its sales, highlighting sustained spending by hyperscalers bankrolling the AI boom bloomberg.com/news/articles/…



So you’re telling me all I had to do was buy $AXTI one year ago and retire my entire bloodline?

As $SIVE is the cheapest light source Stock price showing in SEK on $IBKR USD equivalent is only in $4 range It moves very fast up 25% and when goes down only 4% Next day again 25% up so it keeps going up mostly on weekly @Trading212 price is catching up for $SIVE






MIT student asked a question earlier today that a lot of young founders are quietly wondering about: "Won’t the frontier labs just do everything?" Yes it's true that OAI/Ant are shipping at incredible pace, but it's quite easy to avoid their blast radius and build amazing startups: OpenAI is not going to build a cattle-herding drone, buy an old F-150 and drive from ranch to ranch like the founder of one of the fastest-growing YC W26 startups, Graze Mate. Anthropic is not going to integrate with dental insurance verification systems (Lance). Google is not going to navigate NATO procurement (Milliray). The value is in the last mile, not the model. Sales cycles require humans who understand the customer. And most importantly, the market is expanding, not shrinking: AI isn't cannibalizing the existing 1% software spend — it's unlocking the other 5-6% that was going to humans. That's a much bigger market for startups yet-to-be-founded than the one the labs are playing in. Now, what DOES seem risky? A thin UI layer on top of ChatGPT with no domain expertise; a general-purpose chatbot or assistant; or a product that gets obsolete when model capabilities improve. But — tools for specific industries; "full-stack" AI companies that actually are the service (AI law firm, AI accounting firm, AI uranium exploration company); or generally products where the customer doesn't want a tool but an outcome — are defensible ideas for startups.


By the way, Blender MCP is available for everyone, not just Claude users. You can run it on Codex as well :)

Claude now connects to the tools creative professionals already use. With the new Blender connector, you can debug a scene, build new tools, or batch-apply changes across every object, directly from Claude.









.@MartinShkreli says photonic computing's "time is coming" - "it's a pretty insane speedup versus GPUs." "It's kind of like quantum's ugly little stepsister, but I think it's the belle of the ball." "Recently in Nature, and a few other preeminent journals, especially Chinese companies, have shown you can do MatMuls [matrix multiplication] with light." "It's actually pretty remarkable. Light goes to 100 THz. But more important than that is you can actually do 3D MatMuls, and they're O(1) in complexity," meaning they take the same amount of time no matter how big the problem is. "More and more of the chip and entire global computer infrastructure is going photonic. And maybe the whole thing goes photonic someday. And electricity is actually the odd man out." From his January appearance on the show.













