If an API is exposed you can just have the LLM write something against that.

Giving an LLM a computer makes it way more powerful, giving it a kubernetes cluster should extend that power much further and naturally fits well with the way LLMs work.

I think this abstraction can scale for a good long while. Past this what do you give the agent? Control of a whole Data Center I guess.

I'm not sure if it will replace openclaw all together since kubernetes is kind of niche and scary to a lot of people. But I bet for the most sophisticated builders this will become quite popular, and who knows maybe far beyond that cohort too.

Congrats on the launch!

You'll annoy the hell out of some people, and thats fine. They can find other people to spend time with.

You can probably find a good community where you are, and if not just move to SF which is something like the autism homeland. Being autistic there is valorized and even imitated in sort of amusing ways.

Masking is a kind of hell, living someone else's life. Unmasking and living as yourself feels scary at first but the people who will love you that way can only find you if you live that way.

Been on the lookout for an open source version but they all seem kind of unessecarily bulky or otherwise poorly maintained.

Would be interested in suggestions anyone has for whole apps or libs that work well when glued together for this purpose.

After a while, the more mature Linux engineers start going the other way. Ripping out as much as possible. Stripping down to the leanest build they can, for performance but also to reduce attack surface and overall complexity.

Very similar dynamic with k8s. Early days are often about scooping up every CNCF project like you're on a shopping spree. Eventually people get to shipping slim clusters running and 30mb containers with alpine or nix. Using it essentially as open source clustering for Linux.

I use it a lot for mapping out of the initial concepts but I find one of the best use cases is after understanding the basics, explaining where I need to learn more and asking for a book recommendation. The quality of my reading list has gone up 10x this way and I find myself working through multiple books a week.

Great for code too obviously, though still feels like early days there to me.

There is a secondary market for OpenAI stock.

It's not a public market so nobody knows how much you're making if you sell, but if you look at current valuations it must be a lot.

In that context, it would be quite hard not to leave and sell or stay and sell. What if oai loses the lead? What if open source wins? Keeping the stock seems like the actual hard thing to me and I expect to see many others leave (like early googlers or Facebook employees)

Sure it's worth more if you hang on to it, but many think "how many hundreds of M's do I actually need? Better to derisk and sell"

Big tech hires mostly off leetcodes. There are other factors too.

Your journey begins with practicing leetcodes and reading all the books on teachyourselfcs.com

Study dilligently. Watch YouTube courses too but this should be considered supplemental.

Apply for big tech jobs. This will probably take several trys, especially in this market. Just keep applying and studying.

Once you're at a big tech company keep studying, learn from the smartest people you meet, and ship a lot. After a promotion or two apply to Meta (or someone else if they're paying more on levels.fyi at that point, but Meta pays especially well)

Start giving presentations at conferences. At higher levels in big tech this is encouraged and sometimes even expected as part of promo packets. Also practice your writing. Starting on writing a technical book on a subject your an expert in by this time would be good.

Keep shipping, keep learning, keep getting promoted. Once you're on that track you're well on your way to $1M/yr TC.

I would suggest following / reading people who talk about using Claude 3.5 sonnet.

Lots of people developing whole apps using 3.5 sonnet and sometimes cursor or another editor integration. The models are getting quite good now at writing code once you learn how to use them right and don't use the incorrect LLMs (a problem I often see in places other than twitter unfortunately.) They seem to get better almost weekly now too. Just yesterday Anthropic released an update where you can now store your entire codebase to call as part of the prompt at 90% token discount. Should make an already very good model much better.

Gumroad's CEO has also made some good YouTube content describing a lot of these techniques, but they're livestreams so there is a lot of dead air.

https://www.youtube.com/watch?v=1CC88QGQiEA

https://www.youtube.com/watch?v=mY6oV7tZUi0

I couldn't find the one I was looking for but this is one of them.

https://arxiv.org/abs/2310.06452

Edit:

This tweet also has a screenshot showing degraded evals from RLHF from base model.

https://x.com/KevinAFischer/status/1638706111443513346?t=0wK...

I think ultimately for me this mindset was cultivated at a pretty young age with some writing and art I happened to come across. I love content like that and seek it out now. I think you can become more and more growth mindset oriented with time. I'll share some of the things I've liked on the topic here, maybe that will be useful:

http://www.catb.org/~esr/faqs/hacker-howto.html

https://www.goodreads.com/quotes/7727986-mountains-should-be... (this is a quote, but recommend this whole book)

https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0...

https://youtu.be/etEJrznE-c0?si=Eaq8aycm8Yxn1v56

Two things are especially memorable to me. One is a casual remark in the book that they found the best way to get things done is to pair someone very experienced and cynical with someone very inexperienced and naive. Combined they would get lots done together compared to either alone. I think this is still true today.

The other thing is the intro. It's about the head of the project getting a group together and renting a sailboat on vacation. On the sailboat the get tossed and at times feel like they barely survived and it ends with someone saying "if this was his vacation...what did this man do for fun!?"

https://www.youtube.com/watch?v=Kbk9BiPhm7o