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Forward P/E.

You can always tell it your preferences and ask it to remember them if you need it to.

GPUs/XPUs are small and solid state so it’s only really price that’s a huge liking factor.

And the disinclination of these companies to push the weights of their cutting edge models into people’s cars where they can be dumped.

Yeah. Every major self driving model that I’m aware of is fully e2e at this point. Going from fused sensor output to control+debug vectors.

This is more generalised.

But also since there’s a huge volume of data it’s too expensive to just keep scaling compute up (per car overhead) so there are necessary tricks involved.

I do think having a large model that can do this means that a small specialised model could be distilled form it though. Which is probably the most feasible path to production IMO.

There’s an opt out so I’m blade for now.

I know it sa toy, but if someone gets the bright idea to do this for real: please learn from npm and dont duplicate packages for every clone of a project. Share them between projects like every sane package manager.

My beef with etcd is that its neither performant nor reliable.

Its very much {reliable, performant, flexible} pick none.

I mean its capex vs opex, assuming a 5 year deprecation period thats 1.2 million isnt too bad, its 10% of their aws spend.

If you architect properly it doesn’t necessarily follow that more features means more attacks, or certainly not more system wide attacks.

If you layer and segment correctly you can build atop a secure core and have some decent security.

AMD had an interesting take on this around a decade ago. Never went anywhere but very cool tech.

Reddit doesnt work because subreddits crosspolinate and float to the top so theyre rather prone to brigading and intermingling. We don't really get distinct subreddits anymore.

I think models will be a commodity sooner rather than later. This whole race doesnt matter. First mover advantage is real, but over enough time it wont matter.

It probably means they’re close enough that there’s no observable difference. Or better at every different things.

Yes. Make sure you’re not using the Gemma sparse models since they don’t have a small model to use. Also I removed all the image models from the workspace.