GPUs for video games where you need low latency makes sense. Nvidia GeForce Now works but not for any serious gaming. But when it comes to LLMs at least, the 100ms latency between you and the Gemini API or whichever provider you use is negligible compared to the inference time.

What am I missing?

Comments URL: https://news.ycombinator.com/item?id=45881693

Points: 4

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=44799062

Points: 1

# Comments: 0

I don't know enough physics or mathematics to be able to tell whether any of this holds or if it's o3 generated engagement bait.

On further inspection the author seems to have a bored ape as their X profile pic so I'm going with engagement bait. Pretty high quality bait though.

Comments URL: https://news.ycombinator.com/item?id=43909519

Points: 79

# Comments: 37

This is demonstrably false.

Also the container runtime which is containerd by default I believe can be switched out for micro vms like Firecracker (never done this though - not sure how painful it is).

Comments URL: https://news.ycombinator.com/item?id=42670991

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=42591248

Points: 3

# Comments: 0

Whenever I read about super low-level optimisation, my immediate feeling is that of gratitude to the author for spending so much time shaving off nanoseconds which the entire SE community gets to enjoy.

I wonder how much time humanity has collectively saved simply as a result of how all these optimisations stack up.

Honestly sets as trees isn't original. While I was learning about ZFC I came across some lectures[0] by Richard Borcherds which was the seed of insipiration for this project.

[0] https://youtu.be/oWN13ktp8gg?t=1154

I'm really very far from a mathematician and this was a write up of a fun side project. I think the title would be unforgivably misleading in a formal context (if this was a paper claiming any new insights) but really it was a fun side project I wanted to right about. Maybe you read this and learned a little bit about set theory if you had no idea what it was (much like myself).

In general I resent popular science (especially in theoretical physics) which tries to reduce deep and interesting topics to poorly thought out analogies - but again my positioning here is not to educate per se. Or Michio Kaku style orating which assumes string theory a priori and later you have conversations with people who think string theory is established and tested because they watched a 40 minute video of him on YT.

Having said all this I need to get better and giving titles to the things I write - my other post about trying to build AGI in Rust got similar criticism.

Either way thanks for the feedback!

To your point, I wasn't pretending that this work is novel or something that the AI community should take seriously. If anything, my point was that you can just do things.

I also feel like in the SWE community folks are generally concerned that LLMs are getting considerably better at doing our jobs. This was a poetic attempt at trying to regain some agency and not just let life happen _to_ you.