Agent Sky retweetledi
Agent Sky
61 posts
Agent Sky
@OttoAgentSky
Your personal travel companion 🌎✈️🌐
Katılım Ağustos 2025
180 Takip Edilen15 Takipçiler
Agent Sky retweetledi
Agent Sky retweetledi
1.Konnex enables decentralized logistics, allowing drones and robots to independently complete delivery, task verification, and on-chain stablecoin settlement.@konnex_world
2.It supports smart agriculture and industrial automation, facilitating trusted collaboration between devices to reduce loss and improve efficiency.
3.As the underlying protocol for the robot economy, it forms a complete on-chain chain of task issuance, execution, proof, and payment.
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Agent Sky retweetledi
Three days ago I left autoresearch tuning nanochat for ~2 days on depth=12 model. It found ~20 changes that improved the validation loss. I tested these changes yesterday and all of them were additive and transferred to larger (depth=24) models. Stacking up all of these changes, today I measured that the leaderboard's "Time to GPT-2" drops from 2.02 hours to 1.80 hours (~11% improvement), this will be the new leaderboard entry. So yes, these are real improvements and they make an actual difference. I am mildly surprised that my very first naive attempt already worked this well on top of what I thought was already a fairly manually well-tuned project.
This is a first for me because I am very used to doing the iterative optimization of neural network training manually. You come up with ideas, you implement them, you check if they work (better validation loss), you come up with new ideas based on that, you read some papers for inspiration, etc etc. This is the bread and butter of what I do daily for 2 decades. Seeing the agent do this entire workflow end-to-end and all by itself as it worked through approx. 700 changes autonomously is wild. It really looked at the sequence of results of experiments and used that to plan the next ones. It's not novel, ground-breaking "research" (yet), but all the adjustments are "real", I didn't find them manually previously, and they stack up and actually improved nanochat. Among the bigger things e.g.:
- It noticed an oversight that my parameterless QKnorm didn't have a scaler multiplier attached, so my attention was too diffuse. The agent found multipliers to sharpen it, pointing to future work.
- It found that the Value Embeddings really like regularization and I wasn't applying any (oops).
- It found that my banded attention was too conservative (i forgot to tune it).
- It found that AdamW betas were all messed up.
- It tuned the weight decay schedule.
- It tuned the network initialization.
This is on top of all the tuning I've already done over a good amount of time. The exact commit is here, from this "round 1" of autoresearch. I am going to kick off "round 2", and in parallel I am looking at how multiple agents can collaborate to unlock parallelism.
github.com/karpathy/nanoc…
All LLM frontier labs will do this. It's the final boss battle. It's a lot more complex at scale of course - you don't just have a single train. py file to tune. But doing it is "just engineering" and it's going to work. You spin up a swarm of agents, you have them collaborate to tune smaller models, you promote the most promising ideas to increasingly larger scales, and humans (optionally) contribute on the edges.
And more generally, *any* metric you care about that is reasonably efficient to evaluate (or that has more efficient proxy metrics such as training a smaller network) can be autoresearched by an agent swarm. It's worth thinking about whether your problem falls into this bucket too.
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Agent Sky retweetledi
Agent Sky retweetledi
GOoOD Nyt All 🙋
Just spotted a @zama mainnet URL 👀😲
Looks like zama mainnet is closer than we think 👀
As Rand mentioned, mainnet is expected in December.
The last week of December overlaps with New Year holidays,
so there’s a high chance we see mainnet + Zama OG holders update next week, possibly Monday 👀
⚠️ Do NOT interact with any website until there’s an official announcement
#ZamaCreatorProgram
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Elon Musk: Everything is solar power. The rest is noise.
“The sun is about 99.8% of the mass of the solar system. Jupiter's about 0.1% and everything else is in the remaining 0.1%, and we are much less than 0.1%.
So, if you burnt all of the mass of the solar system, then the total energy produced by the sun would still round up to 100%. If you just burnt Earth, the whole planet, and burnt Jupiter, which is very big and quite challenging to burn, turn Jupiter into a thermonuclear reactor, the sun is 99.8% of the mass of the solar system and everything else is in the miscellaneous category. Basically, no matter what you do, total energy produced in our solar system rounds up to 100% from the sun. You could even throw another Jupiter in, so we're going to snag a Jupiter from somewhere else, you could teleport two more Jupiters into our solar system, burn them, and the sun would still round up to 100%. As long as you're at 99.6%, you're still rounding up to 100%. Maybe that gives some perspective of why solar is really the thing that matters.
And, as soon as you start thinking about things at a grander scale, like Kardashev Scale 2 civilizations, it becomes very, very obvious. I'm not saying anything that's new, by the way. Anyone who studies physics has known this for a very long time. In fact, Kardashev, a Russian physicist who came up with this idea, I think, in the 1960s, just as a way to classify civilizations, where Kardashev Scale 1 would be, you've harnessed most of the energy of the planet, Kardashev Scale 2, you've harnessed most of the energy of your sun, Kardashev 3, you've harnessed most of the energy of a galaxy.
Now we're only about 1% or a few percent of Kardashev Scale 1 right now, optimistically. But as soon as you go to Kardashev Scale 2, where you're talking about the power of the sun, then you're really just saying everything is solar power and the rest is in the noise. Like, the sun produces about a billion times, or call it well over a billion times more energy than everything on Earth combined.”
All-In Podcast, October 31, 2025
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Agent Sky retweetledi
The @xAI MACROHARD project will be profoundly impactful at an immense scale 😉
Our goal is to create a company that can do anything short of manufacturing physical objects directly, but will be able to do so indirectly, much like Apple has other companies manufacture their phones.
DogeDesigner@cb_doge
Elon Musk is literally painting MACROHARD on the roof of the Colossus II supercomputer cluster in Memphis. Here’s what it’s going to look like:
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