frotaur

Didn't humanity also score very low on 353, namely 0 since they were open? Probably collectively we could have gotten a slightly better score if all of Math started trying to solve those, but not by that much, I think, since they are precisely still open.

Check out https://arindube.substack.com/p/a-minimum-wage-natural-exper..., very good post comparing states with minimum wage and without, that seem to go against this often repeated argument.

Not sure the cockroach cyborg will survive such pressures, already surprised it can survive the few feet of water.

I think the board (and disappearing letters) are made with a list of words in mind. Thus, to complete the puzzle (dissolve all letters) you cannot count the bonus words as they were not accounted when creating the letter graph.

Its unclear to me why the color space is 2-dimensional. Why wouldn't it be a 3-dimensional space, indexed by how much each of the 3-cones is activated ? Not clear to me from the article!

Well, the most common example si precisely screens, no? A screen displaying the color yellow is actually a spectrum of red and green peaks, stimulating your red and green cones just like a spectrum containing a single frequency of the color yellow.

String theory is in fact falsifiable contrary to popular belief. It's just not practically falsifiable with current (and likely future, for a while) technology as the energy scales we need to probe to falsify it are astronomically large.

I think the capex being fixed assumes you can just stop training the next model. But its not clear that you can afford to do that and keep selling tokens.

And if capabilities plateau such that training the next one is useless, then the margins will drop fast due to competition.

If you combine the LLM probability distribution with arithmetic coding you can actually use them to compress text losslessly. When people reports 'bits per byte', it is actually the compression rate for text.

GPT-2 for instance achieves roughly 1 bit per byte, so it can be used to compress (english) text 8-fold. Modern models are likely much better.

I don't think many people disagree with this. The main problem is that labour has been what allows regular people to have negociating power with those who own most of the capital.

People are worried that if they lose this leverage, nothing is stopping the few who have most of the capital to just disregard the needs of the masses.

That would be great, but I always wonder: how do you prevent people from photographing an AI generating image through the 'legitimizing' camera?

Not much info on the actual robot... For instance, I wonder how it has enough battery to follow a whale for 'months'? Which seems really unrealistic, as sperm whales can dive more than a kilometre, can't imagine an autonomous robot can support this kind of pressure, let alone for months at a time?

Yes! There is an excellent video on the subject, though it is in french (https://youtu.be/lo7iJnq_U9M?si=FFz6iHI_W4lz9V8D)

He did extensive polling with different framings to see how these affect the outcome.

I've been using the /ralph-loop plugin for claude code, works well to keep the model hammering at the task.

Why couldn't the calendar app expose in an API the read_calendar and update_calendar functionalities, and have a skill 'use_calendar' that describes how to use the above?

Then, the minimal skill descriptions are always in the model's context, and whenever you ask it to add something to the calendar, it will know to fetch that skill. It feels very similar to the MCP solution to me, but with potentially less bloat and no obligation to deal with MCP? I might be missing something, though.

Are you certain? My understanding was that this is automatically injected in the context, and in my experience that's how it worked. I never see 'ReadFile(claude.md)', and yet claude is aware of some conventions I put in there.

This is my understanding as well, I thought tools where allowed.

Afaik the experts are not usually very interpretable, and generally would be surprised if at least one does not change every token. I don't know what happens in practice, but I know at least during training, nothing is done to minimize the number of expert switches between tokens.

Nitpick, but the volume increases cubically (it scales with volume), not exponentially.

Personally defined <dtf> as 'don't touch files' in the general claude.md, with the explanation that when this is present in the query, it means to not edit anything, just answer questions.

Worked pretty well up until now, when I include <dtf> in the query, the model never ran around modifying things.

One important operation I've noticed in the examples that do end up with abiogenesis is having a 'copy' operation. In the bf version they use in the paper, one head can copy the byte under it at the location of the other head. Which makes it quite easy to make a self-replicator: just loop on the copy operation and move both heads, essentially (5 instructions). You could try adding the 'copy' operation to your setup and see if that helps!

Seems Claude is also writing the comments for you?

In a world where there isn't work schedule and in general the whole of society's schedule which works around the arbitrary time, I agree with you.

I'd venture this article is written by AI with the density of 'it isn't X, it's Y'

and : kessler syndrome

I think the website was just down when you tried. Skills should work with most models, they are just textual instructions.

I don't understand, you CAN use claude code through the API.

The problem is not knowing whether someone is typing, as far as I understand. But that you may extract some information about what keys are being typed, based on the small differences in timings between them.

Would love to contribute! Have some fun projects + lectures on there.

www.vassi.life

I'm sorry, but 'not being surprised if LLMs can rederive relativity and QM from the facts available in 1900' is a pretty scalding take.

This would absolutely be very good evidence that models can actually come up with novel, paradigm-shifting ideas. It was absolutely not obvious at that time from the existing facts, and some crazy leap of faiths needed to be taken.

This is especially true for General Relativity, for which you had just a few mismatch in the mesurements like Mercury's precession, and where the theory almost entirely follows from thought experiments.