If you would setup an RLM, would you set a higher temperature for the root LLM calls and a lower temperature for LLM calls deeper in the recursion?
Readit Newspontusrehula commented on Recursive Language Models (RLMs) alexzhang13.github.io/blo... · Posted by u/talhof8
pontusrehula commented on Play the Virtual Organ from Arp Schnitger orgelstadt-hamburg.de/pla... · Posted by u/ohjeez
Oh something in my niche ! I produce French pipe organ sample sets for a living : https://www.jeuxdorgues.com
It's an extroardinary journey to record an organ, process the thousands of WAV files and design a virtual organ model.
I'm interested in your choice to focus on French organs. Do you specifically aim to focus on French organs and not those of German type? Or is it more like a matter of convenience due to geography?
pontusrehula commented on FAA authorizes Zipline to deliver commercial packages using drones faa.gov/newsroom/faa-auth... · Posted by u/gok
The size of these vehicles is certainly absurd, but flying packages with drones that consume most of their energy to fight gravity does not seem particularly efficient either, (e.g. compared to small road electric vehicles with the same payload, which would have its own practical problems).
Where I live we can get deliveries by starships https://www.starship.xyz/. The vehicles are kind of cute when you see them in action.
pontusrehula commented on DALL·E now available in beta openai.com/blog/dall-e-no... · Posted by u/todsacerdoti
These results are pretty amazing. Are these cherry picked / curated / edited at all?
Yes they are heavily cherry picked. The web site itself has a disclaimer about it.
Sorcery. This is not possible by mere mortals to do in 4kb.
pontusrehula commented on Leslie Lamport revolutionized computer science with math [video] youtube.com/watch?v=rkZzg... · Posted by u/chat
One of the most interesting results I found in Leslie Lamport's papers is Buridan's Principle:
A discrete decision based upon an input having a continuous range of values cannot be made within a bounded length of time.
Quoting from https://lamport.azurewebsites.net/pubs/buridan.pdf:
"The significance of Buridan’s Principle lies in its warning that decisions may, in rare circumstances, take much longer than expected. Before the problem was recognized by computer designers, some computer systems probably failed regularly (perhaps once or twice a week) because arbiters took longer than expected to reach a decision. Real accidents may occur because people cannot decide in time which of two alternative actions to take, even though either would prevent the accident. Although Buridan’s Principle implies that the possibility of such an accident cannot be eliminated, awareness of the problem could lead to methods for reducing its probability."
In the accompanying notes at https://lamport.azurewebsites.net/pubs/pubs.html, Lamport states:
The four reviews ranged from "This well-written paper is of major philosophical importance" to "This may be an elaborate joke." One of the other reviews was more mildly positive, and the fourth said simply "My feeling is that it is rather superficial." The paper was rejected.
> Real accidents may occur because people cannot decide in time which of two alternative actions to take, even though either would prevent the accident.
Reminds me of one of the Boeing 737 crashes where pilots were reading the manual but had not enough time to reach the relevant pages.
> “Chess is a matter of delicate judgement, knowing when to punch and how to duck”
Someone needs to combine this variant with four player chess.
pontusrehula commented on Can deep learning help mathematicians build intuition? theconversation.com/mathe... · Posted by u/amichail
Is there an arxiv link to the paper the author wrote about the Kazhdan-Lusztig polynomials?
pontusrehula commented on Tesla Announces a Humanoid Robot “Tesla Bot” electrek.co/2021/08/19/te... · Posted by u/codechicago277
> If I had to make a bet on when it was possible, I'd say 25 years. Maybe 10 if Tesla goes all-in on robots and spends tens of billions on it, Manhattan project style.
I have a decade of experience in robotics (including both humanoid robots and self-driving cars) and I think this is optimistic.
Robotics is a wonderful field if you like to work on hard research problems. It is a terrible field if you're trying to invent a profitable product.
I think industrial robotics is a well established and profitable field.
Trying to classify things as music is a normative approach - saying what music should be. There's always exceptions to rules, as you point out, and people will always disagree and find exceptions.
The article is a descriptive approach - it studies what people think music is.
You can treat music as information. If it's not information, it's just noise.
Sometimes it has a low information density. People like to sing along to stuff they recognise. Sometimes it has higher density - a surprise bit of syncopation or an unusual note. Music is a variation in pitch and rhythm (etc) that is boring enough (in the context of the priors) to be familiar, but not too boring.
OTOH look at how tone poems flopped. There are patterns that are naturally easier to learn - rhythms (in the article) and maybe scales and harmonies (though this is clearly a bit more complex - not every culture has the old Mesopotamian diatonic scales that the Pythagorians formalised). But like Chomsky theorised with grammar, there might be defaults (or a range of defaults) that humans are naturally drawn to as the priors.
In information theory we have:
A message has maximal information content if (and only if) its symbols are statistically indistinguishable from random noise.
Noise or noise-like elements are also important part of many kinds of music.