This type of approach carries a significantly higher operational risk compared to operating multiple Kubernetes clusters on separate VMs or physical hardware. If you eventually update the main Kubernetes cluster that manages the virtual clusters and something goes wrong, you could potentially bring down your entire fleet of Kubernetes clusters all at once.

I don't think this is intended for production

Then why would SuSE spend money on it?

> You're telling me there's no "notify me when domain X becomes for sale" service?

I guess in today's age you would just schedule an agent to check the website every day.

Geez who did you offend? Half your comments are dead for no obvious reason I can tell. Vouched for you but you may want to reach out to @dang.

I think it started here:

https://news.ycombinator.com/item?id=47627269

Wouldn't that be rather inefficient, from a resource perspective?

Is open source and commercialisation an exclusive or?

Because Opus on $20 CC is a joke. The $19 plan on Kimi has actually workable usage limits.

The operators are likely based in Russia, and the US has no jurisdiction there. As a result, they can simply ignore any US actions and continue their operations.

How does this bring us closer to a 17000 qubit computer and how close are we?

There are two ways to be unhappy. Not getting what you want and getting what you want.

Humanity's Last Exam (HLE) is already insanely difficult. It introduces 2,500 questions spanning mathematics, humanities, natural sciences, ancient languages, ...

Here is an example question: https://i.redd.it/5jl000p9csee1.jpeg

No human could even score 5% on HLE.

I've never understood the point of things like HLE, it doesn't really prove or show anything since 99.99% of humans can't do a single question on this exam.

That is, it's easy to make benchmarks which humans are bad at, humans are really bad at many things.

Divide 123094382345234523452345111 by 0.1234243131324, guess what, humans would find that hard, computers easy. But it doesn't mean much.

Humanity's last exam (HLE) couldn't be completed by most of humanity, the vast majority, so it doesn't really capture anything about humanity or mean much if a computer can do it.

the point is that each question is something that a specialist in a field would be able to do, but deems challenging enough that the ability to solve it would imply significant general usefulness in that domain

I mean they could just feed the solutions into the training data. Then suddenly the bot will do real good at HLE.

Exactly. This is called overfitting and it's most definitely a thing.

The repository only exist for seven days and was likely written by Claude code, which makes it not very trustworthy for storing personal data.

Do you have any recommendations for CLI-based microVM solutions that support running multiple instances of Claude Code with "--yolo sandboxing" on Linux?