I am bullish on AI. At some point well see some true advancements.

good post/take.

refreshing to see amongst the endless tide of "i haven't written a single piece of code since 2025, llms are so good that they have already replaced everyone" gaslighting

- i have bearish from day 1

- i have no idea how anyone thinks the mighty next token predictor is going to eradicate diseases and eliminate poverty https://blog.florianherrengt.com/how-llms-work.html

- i also have no idea what everyone and their momma on HN is running for more than 5 mins in the name of "agentic AI"

Won’t this change though?

> the present problem of reward hacking can be solved only by rigorous specification by domain experts. the time of domain experts is expensive. rigorous specification is itself a skill, demanding its own expertise outside of a given problem domain. even many skilled software engineers are bad at it. for the vast majority of domains, the intersection of domain experts and specification experts is ludicrously small.

the issue most of you seem to not realize is that when you put these models in a loop, you are able to do more and more insane and cool things.

have you guys actually designed, built, and deployed agentic workflows?

it is actually quite hard, requires tons of time spent on evals and testing to ensure accuracy, but when it starts to work it is mind blowing.

there is no going back.

listening to people yap about AI when they have only surface level or one dimensional exposure to LLMs and "AI", but have not actually put innovations to work IN PRACTICE.. is a waste of time

great, autonomous LLMs will fail. that's actually perfect. they work amazingly well when we're telling them what to do. no autonomy needed, no destruction of humanity. that's all win

archive link in case i get hugged lol https://archive.ph/Z4gxF

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