Pretty much the same point I made: https://news.ycombinator.com/item?id=48403908
Their apparent inability to get the basics right makes me severely doubt their claims of self-improving AI. The humans at Anthropic wouldn't know improvement if it landed on their lap and started twerking, and AI cannot do a job without strong human intervention into what the goals and guardrails actually are.
I'm kind of reminded of when Microsoft claimed it took a team of Ph.D.s to write a terminal application that updated at 60fps, and then Casey Muratori did it over a weekend. And this was before AI was writing code in earnest; when LLM-induced brainrot really sets in, civilization is in for a world of fresh hurt: lots more generated code, almost all of it garbage. And the promised AI crossover point where it becomes AGI, or indistinguishable from for software design purposes, recedes into the infinite future.
Agreed. Watch for a rise in cases of early onset dementia over the next few decades.
I watched the video and I wish I could get those 13 minutes of my life back.
He could have done it in 13 seconds instead of 13 minutes: "Anthropic is lying about the effectiveness of agentic loops because there's this one screen flicker bug in Claude Code that took a year to fix."
Yeah, like when United Airlines claims a plane can fly 300 people 6,000 miles they are lying to you.
I can prove they're lying to you because people have been complaining about uncomfortable seats and flight delays for literally decades and those issues still aren't fixed.
Pretty much the same point I made https://news.ycombinator.com/item?id=48500537
> I'm kind of reminded of when Microsoft claimed it took a team of Ph.D.s to write a terminal application that updated at 60fps, and then Casey Muratori did it over a weekend.
This is the same Microsoft that is now rewriting the TypeScript type checker, parser and its developer tools in Go after realizing that the bottleneck was...the performance of TypeScript itself, which is a basic compiled vs interpreted difference.
> And this was before AI was writing code in earnest; when LLM-induced brainrot really sets in, civilization is in for a world of fresh hurt: lots more generated code, almost all of it garbage.
Some folks using LLMs wouldn't realize why it makes zero sense to use TS / JS for building performant and optimal applications. This is why people were experiencing significant rendering bugs in terminal apps (they are not designed for that) and slow starts with Claude Code, which was completely vibe coded with Ink.
If you don't understand the basic fundamentals of what you are working on with LLMs and bugs are creeping up left and right, then you are just sinking in your own comprehension debt.
Reading this it occurs to me that this timeline may be moving toward a future where garbage software, garbage information etc. have become the norm for so long that the number of people who can distinguish trash from quality, or signal from noise, has become negligible.
A true era of ignorance, looking like an ocean of nonsense in which no one can really navigate as it is ungrounded in reality.
Idiocracy presents a naively gentle positive version of such future but there are many darker ones possible.
Kali Yuga, indeed.
https://en.wikipedia.org/wiki/Kali_Yuga