A group of options traders in Gaza joking about how finance influencers on social media are surrounded by Lamborghinis, waterfront mansions, luxury vacations, and six-figure trading accounts, while they’re trading from a rooftop with slow internet, post-war destruction in the background, and accounts so small they celebrate single digit gain. Funny, self-deprecating, and unexpectedly moving. A reminder that resilience isn’t about perfect conditions. It’s about showing up anyway.
Robotics likely won’t have a “chatGPT moment” until we’re well into the industrial ramp for the next gen of automation, meaning you’re getting a nice opportunity to be long improving fundamentals right now and the catalyst of widespread attention is still waiting in the wings.
Ex-OpenAI Tech Lead, Justin Lebar joins SemiAnalysis as an Visiting Fellow to Burn $10,000 in 3 hours to find dozens of AMDGPU LLVM, x86 LLVM, NVPTX bugs
00:00 - Intro & Justin’s background
00:59 - How compiler fuzzing works
01:56 - Why we did this project
02:48 - The gap in GPU vs. CPU compiler testing
04:13 - The major AMD & x86 bugs we found
05:38 - Using LLMs to read code & find vulnerabilities
07:56 - The impact of UltraCode mode
12:18 - Doing this without AI (Time & manual limits)
15:03 - The future of AI in software development
16:17 - What’s next + key takeaways for devs
World Labs CEO Dr. Fei-Fei Li: "The world is not made of words."
"Language models have given machines an extraordinary command of concepts, vocabulary, and reasoning, but the physical world, virtual or real, runs on a different substrate."
"Where language models learn the statistical structure of text, world models learn the statistical structure of space and time: how light falls on a surface, how a garden looks from an angle no camera has captured, how objects respond to force and follow the laws of physics."
"Language gave machines a way to talk about that world. World models are how machines will finally come to understand, imagine, reason and interact with it."
Full piece: https://t.co/C9qOJg5wuc
$VICR ceo is basically saying the theft of vicor ip can screw up the whole ai supply chain. And you think Vicor is “expensive” after this runup. All you had to do was read my posts for the last 9 months. Going MUCH higher
A guy named nbatman on Reddit accidentally built the most useful website on the internet.
It's called FMHY (Free Media Heck Yeah).
This is the website Google delisted from search for DMCA violations, Reddit shadow-banned for promoting piracy, the Motion Picture Association flagged as a top piracy threat, and the RIAA pressured hosting providers to drop. It is still online. It is still updated every month.
Here's how it works.
FMHY is the index. The wiki itself hosts nothing. It just tells you where every free thing on the internet actually lives, organized into 14 categories with safety ratings on every single link.
→ Movies and shows in 4K from 50+ streaming sites
→ Music at Spotify and Apple Music quality
→ Adobe Creative Cloud, Microsoft Office, AutoCAD, JetBrains
→ Every paid course on every major learning platform
→ 100 million books and papers through Anna's Archive
→ Free alternatives to every paid AI tool
→ A SafeGuard browser extension that flags unsafe sites in real time
It started as a single Google Doc maintained by one Reddit moderator in 2018. Google killed it with a DMCA takedown in 2023.
The community rebuilt the wiki on its own domain, mirrored it to GitHub and IPFS, and now runs it across 12 backup domains simultaneously.
There is no company. No CEO. No central server. Six anonymous volunteers maintain the entire thing in their spare time. Donations through Ko-fi pay for the hosting. Nobody profits.
Hollywood can't shut this down. Spotify can't shut this down. Adobe can't shut this down.
The entire subscription economy is held together by you not knowing this wiki exists.
https://t.co/AAr2rLlqgy
Some interesting snippets from $VICR's recent earnings call.
The co is really head and shoulders above the competition. Appears to be a true leader in its field with the IP to prove it.
Shout out to @joedab12 for his great research on the name.
ONE GITHUB REPO AND $5 BILLION IN 5 YEARS.
Two guys from New Zealand took open-source code and built the backend now powering Netflix, Microsoft, Coinbase, and Uber.
Paul Copplestone CEO and co-founder of Supabase breaks down in 46 minutes how they actually pulled it off.
save this and watch it.
My old boss Derek at Mercedes AMG F1 engines in Brixworth, has written a maths intro textbook to explain maths to normal humans. He`s done this just for fun because he cant believe that everyone doesnt understand mathematics.
I`m getting a proof-copy in the next couple of days to review, it wont be available to buy until we`ve been through the proofs.
(Will report back)
Most importantly to all those studying and in school, do not listen to any nonsense about AI doing this all for you.
If you want a proper technical career, this is what you need to get into, and yes, today, if its a high end firm, your boss may be the sort of person who writes textbooks for fun. Learn maths !
The Galton Board demonstrates the Central Limit Theorem by showing how steel balls, as they pass through levels of branching paths, consistently form a bell curve distribution. This illustrates how random processes tend to cluster around the average.
Some interesting snippets from $VICR's recent earnings call.
The co is really head and shoulders above the competition. Appears to be a true leader in its field with the IP to prove it.
Shout out to @joedab12 for his great research on the name.