AstroPlotorium: 2D Planetarium & 3D Universe Simulator
Available on Mac App Store!
https://t.co/PlGTpehhTr
Available on the Microsoft Store!
Includes a 7-day free trial.
https://t.co/2XljWeME68
User Manual:
https://t.co/07rS09e2cn
#space #astronomy #solarsystem #AstroPlotorium
New on our Engineering blog: Creating in-house source control.
In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale.
Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: https://t.co/wzNkwHs7IN
Alexandr Wang on what matters in an age of abundant intelligence:
“The scarce resource isn’t going to be intelligence or agency. I really think it’s going to be vision and ambition.”
“Do you have a clear view of what you want the world to look like in the future? What is the one way in which you wanna put your finger on the scale for how the future of the world will develop?”
“AI will make that easier... But the flip side of that is then all of a sudden you can dream bigger.”
AstroPlotorium: 2D Planetarium & 3D Universe Simulator.
Now available on the Microsoft Store!
Includes a 7-day free trial. https://t.co/TbabJ1ZoED
This view shows Saturn from an orbit 40 km above the surface of Mimas.
AstroPlotorium is a dream-come-true app for me. I've wanted to make this kind of software since I was in high school (a long time ago...). Back then, I created a similar app on a PC-9801 (like a PC-AT w/ BASIC).
Now, with the help of AI, I was able to build all the functionalities I dreamed of super fast. It would have been impossible without AI, as those complex mathematical and astronomical calculations aren't my specialty.
It's Godot Engine 4.7 C#, .NET 10 AOT, using Cursor w/ Grok 4.7. It works amazingly well and is incredibly capable.
The galaxy simulation uses my own original algorithm that I came up with to unify all formations using 20+ different parameters!
#space #astronomy #solarsystem #AstroPlotorium #godot
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.