ctoa
Joined 10 months ago
Joined 10 months ago
The thing that made these breakthroughs feel important was that they seemed to be open ended problems that the system itself made independent progress on. That the results were not primarily great retrieval into the corpus of mathematical research + stitching together.
A major point of having novel frontier problems as a benchmark itself is to try to sidestep this issue a bit, where it's hard to tell if one is evaluating reasoning vs retrieval capabilities.
But at least one of the problems was identified as definitely being plausibly mostly retrieval, since it hinges on but does not cite a 2016 paper that the author identified. Closely enough that the author describes it as plagiarism. Another problem seems to combine results from 2016 and 2019.
Ignoring the question of credit, it makes it look like OpenAI doesn't actually understand the eval well in the first place, and undercuts the notion that the results represent great leaps forward in mathematical reasoning.
~80% of acetaminophen poisoning cases severe enough to end in hospital are intentional suicide attempts.
Those patients also have better outcomes though: family members know what happened, they get them to a hospital, they can take N-acetylcysteine as a timely antidote.
In the unintentional poisoning group, ~90% is from multi-day accumulation, they don't realize they've been poisoning themselves. They have a much higher rate of acute liver failure and death.
https://doi.org/10.1186/cc1475 https://doi.org/10.1016/j.cld.2013.07.001 https://doi.org/10.1097/mcg.0b013e31818a3854
Fatalities happen basically from: product stacking combination medicines people don't realize contain acetaminophen and/or multi-day accumulation exceeding max daily limit over multiple days.
Chronic drinkers have impaired acetaminophen processing so they can't handle otherwise safe doses, but fatalities still typically occur in multi-day accumulation scenarios. Their safe daily max is ~half that of a non drinker.
The effects of one round of acute drinking don't impair the liver in the same way. People are not dropping dead because they took a normal dose of acetaminophen for a hangover. Not that I'm recommending you start doing it, but it is a myth.
OED (171k) is comparable in content to RAE + RAE Americanisms (93k + 70k = 163k) because OED is pan dialect. RAE core dictionary by itself is not the same type of coverage as OED.
The 1M+ English number is essentially a garbage number from a media tracking company called Global Language Monitor and includes things no serious dictionary would include. 300k+ is for a very comprehensive legit Spanish dictionary with technical and historical words. Those two numbers aren't comparable.
"which you admit is a far lower figure in Spanish vs other languages." no you just misunderstood, the numbers are very comparable.
Looking to your perceptions of ngrams in pop lyrics is not a great way of doing linguistics, there are in fact many alternatives in Spanish for expressing emotions about love, whether you are aware of them or not, or whether song writers over use certain words. English lyrics repeat an awful lot of "love" "heart" and "baby".
The rest is not right, the word counts in particular is just a reflection of why counting words in a language is hard:
93k comes from the number headwords listed in the core RAE dictionary. The RAE's dictionary of Americanism adds another 70k entries. When you include historical and technical terminology, more comprehensive dictionaries will have well over 300k words.
Counting "over a million" from English comes from way, way more inclusive counting methods that throw in technical jargon, acronyms, global slang, etc. The OED, which would compare to the RAE dictionary numbers, lists only 171k words.
Beyond this, counting is complicated by the fact that compounding and morphological changes work differently, English will use different words in cases where Spanish would use suffixes, and will count compounds as words that in Spanish would be phrases.
"there's only a few ways to express yourself in Spanish compared to other languages." is very wrong. Spanish word order is massively more flexible than English, grammar and morphology more nuanced, they do things in different ways but this is a deep misunderstanding.
Linear bounded automata (LBA) the halting problem is decidable. But many properties of LBA are undecidable:
Emptiness: Does an LBA reject all possible inputs? Universality: Does an LBA accept all possible inputs over its alphabet? Equivalent: Do two LBA accept the same language? Finiteness: Does an LBA accept a finite number of strings.
Neuralink is just another medical device company right now. The things it is succeeding at aren't the crazy sci-fi Elon "telepathy" vision at all, and there are other BCI companies.
Boring Company is quite stagnant and I would say what they achieved is very underwhelming. The original framing was that it would revolutionize the costs of subway and high speed rail tunnels and it has not achieved that at all. The things it currently does are nothing like the vision Musk was selling in 2017, much of the original concept was shelved.
Robotaxi is wildly off schedule and his timelines that he puts out for it have been non-stop over optimistic and wrong. This may catch up eventually, but it's currently not at the point that Musk was already claiming it was at 10 years ago.
I'd list as another big flop of the last 10 years the Tesla Solar Roof.
Also, I think by far the biggest Musk reality mismatch is the story he pushes regarding Optimus vs what anyone has actually seen of that product. That mismatch is absolutely wild. Anyone who believes the things he says about timelines for it needs to get a grip.