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Pre IPO glazing

DHH has the capacity to assess that going full on white supremacist is still relatively frowned upon, so he does only as much as he thinks he can get away with.

Sponsoring his badly made OSS and giving him any type of a limelight will only embolden him and the likes of him. I personally want nothing to do with him and anything he touches.


We are already reverting to OSS local models.


LLMs are extremely convoluted random word generators, it's a stretch to think that anything can make a bunch of words with weights attached "smarter"



This is pure financial engineering.

Google's parent company owns shares in SpaceX

SpaceX about to do an IPO making it the biggest grift/loss in history

Google's parent company uses Google under the pretext google needs compute (hahha) to prop up their SpaceX investment

It's not more complicated than circular investments on a planetary scale and the shamelessness and greed of everybody involved.


I tried stuff like Claude and Codex and I ended up using the same as always: vim and Intellij.


This is only because of AI. In the past the barrier for contribution was high because you had to know what you are doing and put effort.

Nowadays any AI lunatic with a couple of tokens to spare can spare no effort, have no understanding and still flood you with a wall of code that on first look might even look okay (spoiler: it's actually trash). That is tiring for maintainers.

This is all about AI


Any newly produced AI code is immediately legacy and trash at the same time.


> These days, I typically start a new feature by asking Claude if the description in the ticket is correct, and if so, I am asking for a suggested solution. I avoid steering Claude to a given solution, even if I have one in mind. Perhaps there are better ways of doing it that I haven’t thought about. I also don’t want Claude to just go along with whatever I suggest.

This is next level dystopian. In your own flow you are not a developer, not even a project manager or a product owne, more like some random consultant thats barely affiliated? Does that make you happy? Do you get any satisfaction out of that flow?


I'm not sure there's anything novel about that approach - it's how I've addressed issues quite commonly when assigning them to team members. If you don't prime your preconceived notions on your coworkers(or AI in this case) and let them do their own evaluation from scratch, you can find gaps in yours and their understanding much easier.

What makes you unhappy about this process?


I found it kinda optimal to "incept" the llm. I better results if I just ask the right questions to guide to to a good solution.


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