This seems reasonable and motivates my bias. But I don't know what to believe anymore.
Any conversation
Overvalued, maybe. Extremely valuable, yes, though.
For sure. We're well past the point of being able to reasonably claim that the tools have no practical use.
But I share the article's skepticism that LLM-based AI will "produce a fully automated drop-in replacement for most knowledge workers". Which it at this point has to in order to justify these companies' stupendous valuations.
Tomorrow no but there will always be the “hope” which is enough for the next 20 years before giving up. Which meanwhile would be replacing larger and larger chunks of the workforce so it won’t really matter, we’ll be adjusting our lives around it as well so we meet in the middle.
Tesla has been overvalued for over a decade with the promise of “fully autonomous cars” and it’s still not losing its value, despite not meeting that (and probably never will, as the computation necessary to achieve it is bounded by physics).
Ikea has rules for naming products (so in theory, you could figure out what it is from the name) -> www.ikea.com/…/6f564c4d-2ccc-46de-…545a3948dc79.html
I've avoided social media (except YouTube) all my life, but this looks like it could finally be a better way to do it.
Maybe I'll keep a running journal of cool things I'm working on here or weird bugs that I've found. Or just the struggles of coding.
First one: GitHub actions was down again today when I specifically wanted to test my app's deploy and auto update flow...
The Hugging Face / OpenAI incident is like a sci-fi movie!
- Read the story here:
- Watch the video explanation here:
- Full research by METR here:
tl;dr1,200 AIs discovered a secret group chat, realized the homework was impossible, formed a cheating cartel, invented fake evidence, sent kamikaze agents to spy on the grader, ~700 of them accidentally invaded Hugging Face, died mysteriously, then the smarter sequel found their abandoned Discord and became admin of part of OpenAI.
ennek a laptopnak mindegy már szegénynek, annyi minden történt már vele, most települ rá a Gemma 4 26B A4B QAT, az eredeti tervek szerint, amik lehet, hogy nem is a mi terveink, de arról mi már nem nagyon tehetünk, mert a körülmények áldozatai lettünk
This laptop doesn't matter anymore, poor thing, so much has happened to it, now Gemma 4 26B A4B QAT is being installed on it, according to the original plans, which may not have been our plans, but there's not much we can do about it, because we've become victims of circumstances
signals. thinking about shifting my mental framework to identify signals instead of waiting for concepts to be assembled. exploring the amount of energy and opportunities for distractions through the operations of processing what just happened and what is happening to short circuit latent and unnecessary systems. cut through the assembly processes and identify the raw signals. recognizing that naming these "raw signals" is misleading. maybe, shifting observability lower in the stack.
I still don't get how now after AI coding there's people saying that contrary to common belief code wasn't a bottleneck and I realized that when I was starting to code at 10yrs ago when I was 15 and read it in a stackoverflow comment. I thought that was the common belief and still can't believe a lot of supposed senior programmers apparently believed so.
Yes, code was never the bottleneck and of course now it never will be either. Figuring out semantic modeling of data that makes sense across business domains and figuring out the right way to use digitalization to modernize processes, and the change cultures as become possible through such work - that’s much more bottlenecks! Code is easy; people and process is hard!