smokel

Consider for example the use case of forecasting the average speed on a road segment with a maximum speed of 70mph. Forecasting whether that will be 69.8 or 70.3 is not very relevant. What is relevant is forecasting when the speed drops below a traffic jam threshold. But the exact timing of that might be impossible to forecast due to the inherently chaotic behavior of traffic. Forecasting the probability of a traffic jam occurring may be more interesting to practitioners.

[1] https://en.wikipedia.org/wiki/Mizar_system

Sure you would. Running frontier class models on current hardware costs in the order of tens of thousands of dollars. It is more likely that these custom ASICs will be priced competitively with that, and not with Super Mario Bros.

Oh, and energy consumption will be in the same order.

  if (CheckWord(words, "OXio")) {

This is most obvious in places where a lot of coordination is required, for example in supporting proper color correction throughout all applications, or decent support for advanced printer functions.

There are many incremental changes, but we often get stuck in local minima for years.

Still, I personally like that one can (relatively) easily watch what happens under the hood. It's not entirely clear to me why Windows and MacOS must remain closed source.

1. phenomenal reasoning, requiring consciousness and subjective experience

2. functional reasoning, transforming premises into conclusions using logic

I think you are attacking this using definition 1, whereas the article is obviously aiming at a different type of reasoning, and trying to formalize what is actually going on. It seems to be a genuine effort.

Perhaps it helps to consider why you'd exactly want this? You may be better off not visiting any such site, and instead focus on real human-in-the-loop activities with a group of local hackers.

  for x in 1611.02731 1511.06391 1811.06965 1512.03385 1511.07122 1704.01212 1409.2329 1512.02595 1706.01427 1410.5401 1806.01822 1706.03762 1409.0473 1506.03134 2001.08361 1405.6903 1603.05027 math/0406077; do curl -fL https://arxiv.org/pdf/$x -o ${x##*/}.pdf; done
  for u in https://www.cs.toronto.edu/~hinton/absps/colt93.pdf https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf https://www.vetta.org/documents/Machine_Super_Intelligence.pdf https://www.lirmm.fr/~ashen/kolmbook-eng-scan.pdf https://scottaaronson.blog/?p=762 https://karpathy.github.io/2015/05/21/rnn-effectiveness/ https://colah.github.io/posts/2015-08-Understanding-LSTMs/ https://nlp.seas.harvard.edu/annotated-transformer/ https://cs231n.github.io/; do curl -fLO "$u"; done

Even if you rewrite an article in your own words, you cannot claim copyright for that. At least, not to my knowledge.

Seems pretty obvious to me.

Note that even in the normal case, there are restrictions. You'd have to validate that the generated output is not copyrighted. Which in this case may not be trivial.

[1] https://en.wikipedia.org/wiki/Louis_Wain

> You may not access or use, or help another person to access or use, our Services in the following ways:

...

3. To decompile, reverse engineer, disassemble, or otherwise reduce our Services to human-readable form, except when these restrictions are prohibited by applicable law. [1]

[1] https://www.anthropic.com/legal/consumer-terms

I don't think that is how copyright licensing works.

Just check out any conversation on dynamic vs static typing, talk to a Rust zealot, or ask a backend engineer if microservices were a mistake.

It's unfortunate, and it makes it hard to have proper discussions on these subjects. It would be worthwhile to figure out how we can have more constructive arguments.

> design-wise copy the Python standard library's APIs whenever possible [1]

[1] https://github.com/jpakkane/pystd

I always found it somewhat annoying that a philosophy study would present itself by stating that graduated philosophers have great job opportunities, implying that studying philosophy would not be a bad choice. It just attracts really smart people, and these tend to find a job more easily. This article seems to make the same kind of mistake.

Also, for all we know these imagined herds of philosophers at AI firms are just labelling pictures of dogs.

We're not quite there yet :)

https://en.wikipedia.org/wiki/List_of_unsolved_problems_in_m...

This requires not only knowledge, but also the control systems that develop with the prefrontal cortex. LLMs don't do much control yet.

TIL that Rust has NonZeroU64 which you can combine with Optional to get the required behaviour with only 64 bits per entry. [1]

[1] https://doc.rust-lang.org/std/num/type.NonZeroU64.html

LLMs are fed a lot of data, and there are many patterns in there, including reasoning and some logic. Adding a little domain specific data will not immediately learn that domain, but it will also not be limited to only that data in its reasoning.

This is not obvious to me. If everyone gets access to AGI, but only a few people have the means to do really bad things with it, then what is the difference? Might as well make clear from the start that AGI is a powerful tool (read: weapon), and not a solution (e.g. world peace).

The link is to a famous YouTuber called PewDiePie and he uses a local LLM to parse his email, to save time with that. They have an autoreply system and get notified about urgent matters.

The other 99% who were into yoyo-ing back then are now into TikTok, that's all.

I tried switching phones once a week, which was heavenly. Might try that again, it requires some discipline.

So it's even worse than I expected. The intended worm can spread through my thermostat, and when it reaches a GPU host, it can spread even harder. Fun times ahead.