6 month payback period for building compute at scale is insane.
Nvidia and SpaceX are printing money with these huge clusters
Q3 2026 Financial and Operational Results xitter.cf/i/broadcasts/1PKqrNbLZ…
As crazy as this sounds, $1T in SpaceX revenue in 2028 is no longer impossible
Next James Bond car is apparently real
BREAKING: Tesla’s new Roadster just flew, pulling a barrel roll over a Tesla Semi.
@elonmusk: "I've seen a lot of things, but I've never seen that before."
"We call that the kickflip."
Pokémon Fan Games will do so well in a couple of years
pokemon heartgold is now fully decompiled 🥳
took about a month and ~$56k at api prices to decompile all 4.1mb of compiled code
MichaelInDev retweeted
the five highest forms of intelligence:
1. pattern recognition
2. delusional optimism
3. quiet discernment
4. strategic detachment
5. deep curiosity
Build a cool Bot that notifies me about interesting events in my area based on categories of interest.
Link your calendar and it will check it:
x.ai/bot/hJpHNyYyMkUp5y0dXrZ…
I'm currently struggling a bit with a "Platform" decision.
It feels like agents are vastly better and faster with web tech like React.
At the same time I'm good at creating Flutter Apps. And they are easily ported to every single platform.
It feels like it takes an agent half the time to build a new feature with React than it does with Flutter. Animations and everything instantly work.
Flutter is more tedious. But imo also more beautiful and customizable when properly refined and animated.
I'm unsure wether to ditch Flutter and my existing platform for future work and build an equivalent stack with React. Agents are just so much better at it.
We will become a museum for the rest of the world if we continue on this path
Replying to @_Lonis_
The whole free world should have access to AI’s equity upside, even in countries without their own AI companies.
For instance, European investors, retail and institutional, have been the least successful in the world at capturing AI equity gains
Damn, imagine
Replying to @SPCX100T @RonBaronAnalyst
Unless there is a major world war, SpaceX probably gets to >$100T in <10 years
So previously I was paying 8€ for X and 47€ for Cursor.
And I was basically getting the same as I would with the new Super but paid less even with the discount applied?
Doesnt really make sense for me tbh
A super small AI enabled caste at the top
Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.
- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.
The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.
So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
Leider ein großer Nachteil vom Umzug von DE nach AT





















