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Elon Musk on the physics of truth: “Truth is not an easy thing But you can aspire to the truth. You can try to get as close to the truth as possible with minimum error while acknowledging that there will be some error in what you’re saying This is how physics works. You don’t say you’re absolutely certain about something, but a lot of things are extremely likely Aspiring to the truth is very important”

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The more you watch Elon Musk, the more obvious it becomes that this was never just about money. He could have walked away years ago and lived in total comfort for the rest of his life. Instead, he chose constant pressure, sleepless nights, and one impossible mission after another. He does it because he genuinely believes humanity can achieve so much more if we push ourselves harder. He is 54 years old and still working with the intensity of someone half his age. Grinding until 3am at the office, working every waking hour seven days a week. People keep betting against him, and he keeps winning. You can disagree with him on things, but you cannot deny the level of dedication, sacrifice, and belief he has put into pushing humanity forward. History is repeating itself once again. Godspeed, SpaceXAI.

Elon Musk: "There are really only three hard things for humanoid robots: the real-world intelligence, the hand, and scale manufacturing. And I haven't seen any even demo robots that have a great hand, But Optimus does have that. We had to design custom actuators, basically custom-designed motors, gears, power electronics, controls, sensors—everything had to be designed from physics first principles. There is no supply chain for this.”

Updates since then: * Deepseek v4 is out. There *is* a 2-bit quant that can run within 90 GB ( ), and it works, however it's only fast on Apple hardware (I've head ~35 tok/s). On AMD, it's ~7 tok/s. IMO actually taking the effort to properly support more than one hardware manufacturer is a great example of the difference between mere "decentralized AI" and genuine "CROPS AI". I hope we can become better at this. * also has alpha telegram support now. However, the path to adding your account is quite janky * looks promising as a way to run "dense" models (eg. Qwen 27B) more efficiently. It's janky, but on my 5090 laptop it seems to be ~2x more tok/s than llama.cpp * VoxTerm (local AI recording, no third-party servers) continues to be developed And there's a lot more projects coming on the horizon. One other thing that has been on my mind is that there's actually a lot of intersection between "CROPS ethereum access layer" and "CROPS AI". For example, we want a ZK way to make (paid) calls to remote LLMs. But if we have this, then it's just as useful for solving another problem: private RPC reads in Ethereum. Another example: application-specific finetuned LLMs. Leanstral ( ; I get ~38 tok/s on AMD) fits into < 70 GB, but can hold its own against 1T models on writing Lean code. Things like this are a huge boon for writing more secure code ( ). We should have models finetuned for Ethereum-related use cases as well.

A lot of people are worried software is dead. But throughout history, any time humans have gotten new tools, we've always found new things to create with them that weren't possible before. It just doesn't always look exactly like the things of the past.