montebicyclelo
Joined 6 years ago
Joined 6 years ago
(They do imply in the abstract that they will release the dataset, which I guess will resolve this.)
> “Answering ‘non’ gives you the option to say ‘oui’ [yes] later; [it’s] the opposite when you say ‘oui’, you can no longer say ‘non’!
https://www.bbc.co.uk/travel/article/20190804-why-the-french...
https://www.nytimes.com/1978/07/01/archives/150-hurt-as-truc...
side note: i've noticed people writing with no caps, unusual grammar, splling mistakes, etc. which does differentiate their output from typical llm output - although ofc llms can probably imitate that
https://www.ycombinator.com/library/Vy-jeff-dean-the-1-rule-...
It could be boiled down to: in 2025 this paper showed that "thought traces" in the models of the time could sometimes be inaccurate or misleading. Today they still might be, although OpenAI says actually they are accurate for their modern models, (based on internal research, rather than published research).
> Throughout this derivation of different chords, you will note that a gradual progression or degradation from high-theme/low-complexity (Major Triad, Harmonic Series chords) to low-theme/high-complexity (Minor and Ambiguous chords). This progression is suggested by our measure of interestingness from Section 2.4 "Interestingness: Just Enough Complexity". That is, as we progress, more and more of the theme of the Harmonic Series is lost and more and more complexity is introduced. Notice that this progression seems to mirror that of musical sophistication as well: musically untrained listeners like Major chords while more musically trained listeners are more tolerant to loss of theme and more interested in complexity. (I met a signal processing engineer who had played piano for something like 18 years and who simply did not like Major chords at all.) Other fields seem to progress similarly: white wine is preferred by new wine drinkers, whereas more "complex" red wines are an acquired taste.
I've seen many healthy technical disagreements; often leading to new insights coming to light, assumptions being made explicit, everyone leaving with a better understanding, sometimes resulting in one party conceding, sometimes resulting in a compromise. Guess it requires a certain level of maturity / people arguing in good faith.
My point is it's still useful to have a somewhat authoritative place to cite (high quality) blog post level content. arXiv has formatting requirements and doesn't go down like random personal sites.
> a LaTeX PDF can launder epistemic status
True to a certain extent, although something people are aware of and they can judge the content themselves (hopefully).
I do think when making these comparisons, it is worth emphasising that neural nets are really different. E.g. I used to see people equating LLMs to n-gram models, etc. which is overly simplistic, (especially in the early days when the models weren't as good).