Why I am in fact, not bullish in Malaysian Data Centers in the long term.

anthropic vs open ai has reached messi vs ronaldo levels of rivalry bruv they couldn’t wait even an hour to launch lmao

Bro wtf is going on. This post. The Jensen phone call. 50k-60k ICLR submissions. Come on!

Whoever is #malaysian, this is important, please #read and #tag anyone who may be in a position to veto this

"free market"

@0xOrakuru @zachxbt

im trading at sharpe 5 if I take out some of my biggest losers

jev could be useful for speech based prediction markets icl

Ever get lost in all those mathematical “spaces”? This beautiful diagram maps the full hierarchy from the wildest to the most familiar. Topological spaces are defined only by open sets. Metric spaces add distance. Vector spaces allow linear combinations. Normed spaces measure size while inner product spaces add angles. At the core sits Euclidean R^n, the complete geometry of our everyday world.

Getting ready for my session at URIIS 2026 International Conference on Research and Innovation Investment Summit, World Trade Centre, Kuala Lumpur this 23rd Sept 🤩

btw.... "0% fees" is the most misleading marketing gimmick in perp trading!!! Think of an airport currency booth with a big "NO COMMISSION!" sign. They'll buy your dollars at 0.90 euros and sell them at 1.10. That gap is how they make money. No commission = technically true! Perp DEXes work the same way. Every market has an order book: prices where people will buy (bids) and prices where people will sell (asks). The gap between them = spread. When you place a market order, you don't get the mid price you see on the chart. Buying? You pay the lowest ask. Selling? You get the highest bid. Example: BTC shows $100,000 on the chart. Best bid $99,990, best ask $100,010. You market-buy at $100,010. Sell one second later and you get $99,990. You just lost $20 and the price never moved. That was the spread, and you paid it on a "zero fee" exchange. Compare two venues: Venue A: 0% fees, $20 spread Venue B: $2 fee, $2 spread The "free" one costs 5x more. And it gets worse with size. The best ask only covers a limited amount, so big orders eat through the book level by level, and your average fill price gets worse each step. That's slippage, and it depends on depth: how much liquidity sits near the mid. Thin books show tight spreads that vanish the moment you trade real size. True cost of trading = fees + spread + slippage.

Tested ilmu.ai on a security code review task (using custom skill). It's fast, like blazing fast. Turns out that's because it skipped some of the basic. "ok ni finding, janji settle" - the model probably You can review the finding here: github.com/RamadhanAmizudin/…

Yes we are 🇨🇳 Divinely protected, God's favorite

the most dangerous person in tech is a broke 19 year old with gpt astra 6 and no social life

A great first step toward making large-scale mobile manipulation deployments possible; well done to our Zurich lab for the breakthrough! The best non-hardware-bound SLAM on earth to our knowledge.

Today we're announcing microSLAM, a monocular SLAM system built by our computer vision team in Zürich with ETH Zurich's Computer Vision and Geometry Lab. It ranks first on the LaMaria benchmark for monocular SLAM, and holds up against systems that carry many more cameras and IMUs. Ours runs on a single RGB stream. Robot learning is bottlenecked on data, and the largest untapped source is people going about their work. A camera on someone's head for an afternoon in a plant is a record of how that plant actually operates, including all the parts nobody writes down. That data is only useful if you can recover the geometry, and geometry from one moving camera in a world that will not sit still is the hard version of the problem. Solving it monocular is what makes the data cheap. Rigs do not scale to every worker. Glasses do. microSLAM turns that footage into interactive 3D environments where behavioral foundation models can be trained. One person walks a factory floor. A robot learns to navigate it.

To add a bit of clarity about who proved what. Tristan + Levent: 3d incompressible Euler with forcing OpenAI: 3d incompressible Euler without forcing OpenAI: Navier-Stokes with forcing No one: Navier-Stokes without forcing Euler equations = Navier-Stokes without viscosity. Forcing means external force. Absence of viscosity and presence of external force make blowup easier to construct. So in the 2x2 grid Tristan+Levent ticked the weakest box, OpenAI ticked the two next weakest, and the strongest is still open. Navier-Stokes is not over.

Career Advice: pivot to math and physics