I'm not sure which chatbots you used, but OpenAI's o3, o1 and 4.1 get it right first try (used in the Playground without web search or any other tools).
Sure, but that's the nature of language (which is also why i put "understand" in quotation marks. I usually follow it up with "whatever that means" lol) . I think in this case, it carries with it implicit properties (abstract semantic representation) that i think models possess, which a decoder doesn't.
I think "(intelligent) language understander" is an apt term. It contains within it the fact that these models are mainly trained on text, and "understand" it beyond a simple token-by-token level (i.e. their latent space maps to more and more complex concepts).
It also separates them from "world understanders" since any understanding they might have about the world comes from text (or images if we include multimodal models). They do not gather experience, memories or other "qualia" that many people (me included) would probably include in a definition of human experience/intelligence.
(fwiw i think artificial intelligence is a good, broad term, but it is both too broad to describe the current sota, and too loaded nowadays to be using in nuanced discussions)
Have they retracted it? My understanding was simply that they released results with more recent data, not that this study itself was flawed (and their website doesn't mention a retraction either)
I'm not sure which part of my comment comes across as fence sitting to you, but to clarify:
- I think there are good and useful ways to use AI in art creation
- I also think that AI (especially end to end creation of full songs) is a massive problem for both content moderation and business model aspects of this type of platform
- I don't think a blanket ban on AI in <Field X> is a good idea (even a bad idea in almost all cases)
You can disagree with these three points and that's fine, but it's not fence sitting when someones position isnt 100% one way or the other
> Laws and rules exist to serve humans, not machines.
Machines don't go out on their own to create and upload music, they do so under human instruction, so their output should be policed the same way we police other machine generated output directed by humans.
The issue i have with it will depend heavily on implementation, i can see cases where songs that i would consider "produced and written" by people don't qualify for royalties under Tidal's guidelines. (I intentionally left out the "performed" part, since digital music production is way past the point where this was an easy and/or meaningful distinction)
> Tidal will hold AI-generated music to a higher standard of content integrity. We will not tolerate AI-generated music that exploits an individual’s or group’s music, name or likeness, deceives listeners, or diminishes the quality of our service.
I think this is a very reasonable approach, and probably also the best way to treat AI-powered copyright infringement as a whole. Just like we don't penalize artists for consuming content unless they produce actually infringing content, we should set the same focus for AI systems.
> Starting today, AI-generated music will not be monetizable. We are only in the beginning of the era of AI-generated music.
Don't really agree that this follows from the stated principle here ("... ensuring royalties go to original works produced, written and performed by people"), but will definitely help with spam etc.
I think it helps his credibility that he has been working with and speaking positively about AI assisted mathematics (especially for formalizing proofs) for over a year now . I'm sure he isn't unbiased, but as far as spokespeople in the AI space are concerned I'd count him among the less biased ones.
The advantage of frameworks isn't that they make it easier to write the actual agent, it's tooling + observability + ...
Even Langchain, for all the (deserved) criticism it gets made this very clear very early: It might be easy/easier to write your own chatbot from the ground up, but what happens if you have to add observability/tracing? Being able to just add one environment variable and instantly have a UI where i can nicely go through all of my traces with basically 0 additional effort is something a hand rolled solution just can't really compete with
Well similar to how turing machines are a sufficient theoretical model to make all kinds of arguments about runtime complexity of classical computers without relying on their actual physical implementation, we have theoretical models for the way we are approaching quantum computation that do the same thing (Namely the quantum circuit model)
In german, there is an idiomatic way of saying "I don't understand" (especially after attempting to do so multiple times) that literally translates to "Standing on the hose/tube", which is extra fitting here considering that, in both cases, a fix consists of getting up and walking away ;)