I'm so curious why this comment is being downvoted. Isn't it true? Words have meanings and meriam webster agrees with this comment. If we say any country anywhere that provides anything to its citizens is included in the socialist umbrella, then every country on earth is socialist and what's the point of the word in that case? The DSA in the US have hitched their wagons to this word that is highly ambiguous and it feels unhelpful when it comes to any meaningful national political goals.
False positives have a real cost, especially if AI is reading a review. Consider if you have GPT-6 Astra looking at a review and finding a bunch of false positives it burns tokens to figure out.
I'd like to see posts on the front of HN from companies who instituted PR LOC maximums, i.e. "Anything over 500-1k SLOC needs _n+1_ reviewers" (where _n_ increases every 10k SLOC. PRs needing like seven people to sign off of it might block the pipeline enough to discourage the slop flinging.
I had the privilege of being educated in several countries and cultures. This might come across as "your education system sucks", and that's essentially what it boils down to, but on the upside I'm truly sorry for you and will oppose a comment to your cynicism. Good exams test your ability to express coherent thoughts about the concepts you learned, and let you generalize upon them by having you use and combine them to solve cases and problems that were not those seen in the teaching material. You can even teach and test history that way, and make it much more insightful and captivating than a laundry list of dates and events (as I suppose was your case?)
Same, but all the exams I ever took mostly tested your memory more than anything else. I don't think it's possible to test people at scale any other way.
That's what they'll sell you. But fundamentally current LLM implementations seem to be the wrong methodology for 'AGI' and I don't think we're remotely close to having this.
This stupid LLM is already smarter than a handful of people I know.
I don't think we have pushed LLMs to their limits already, its still progressing its still crazy good and its able to run even longer today than yesterday.
But researchers are already working on more architectures.
Investors for sure don't care about people. Replace Accenture with OpenAI and you replace 800k people immediadly.
Geoffrey Hinton said it in his Videos: a normal person costs A LOT of money to train, educate, onboard, keep etc. they forget things etc.
AGI you train once, teach once then clone and copy and just run it.
We even might already crossed the line were it is already more cost efective to train 1-5 frontier models something it doesn't know yet than teaching this to a 1000 humans.