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swfsql

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yet another libertarian from Brazil

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I think I miss a suckless but async and for everything (lots and lots of apps). To the point where each of those different apps are single thread, and in such a way that they collaboratively all share the same single thread. So I'm looking for a single app that has many library-apps inside of it, all brutalistic, async and single thread.

I disagree, they didn't straight out pointed this, because this is nonsense. Semantic changes can break anything, even if it's some intermediary API.

There are more breakage in rust due to the type-system-related semantics, but ideally a C dev would also want their system to break if the semantics aren't right. So this is a criticism on C..?

So following this argument, they don't want Rust because C falls short? Nonsense.

edit: The speaker did mention that they didn't want to force limited use on the base APIs, but that for a great deal of their usage, they could have determined fixed semantics, and make intermediary APIs for it. So this was not about limiting the basic APIs.

I read around that DeepSeek's team managed to work-around hardware limitations, and that in theory goes against the "gatekeeping" or "frontrunning" investment expectations from nvidia. If a partial chunk of investment is a bet on those expectations, that would explain a part of the stock turbulence. I think their 25x inference price reduction vs openai is what really affected everything, besides the (uncertain) training cost reduction.

Using a local 7B for chatting, I saw it tries very hard to check for inconsistencies of itself, and that may spill to also checking for the user's "inconsistencies".

Maybe it's better to carefully control and explain the talk progression. Selectively removing old prompts (adapting where necessary) - which also reduces the context - results in it not having to "bother" to check for inconsistencies internal to irrelevant parts of the conversation.

Eg. asking it to extract Q&A from a line of text and format it to json, which could be straightforward, sometimes it would wonder about the contents from within the Q&A itself, checking for inconsistencies eg:

  - I need to be careful to not output content that's factually incorrect. Wait but I'm not sure about this answer I'm dealing with here..
  - Before the questions were about mountains and now it's about rivers, what's up with that?
  - etc..
I had to strongly demand it to treat it all as jumbled text/verbatim, and never think about their meaning. So it should be more effective if I always branched from the starting prompt when entering a new Q&A for it to work on. So this is what I meant by "selectively remove old prompts".

I think that since training must happen on a non-bitnet architecture, tuning towards bitnet is always a downgrade on it's capabilities, so they're not really interested in it. But maybe they could be if they'd offer cheaper plans, since it's efficiency is relatively good.

I think the real market for this is for local inference.

I'm not familiar with those functions, but I had the impression they actually shouldn't have the same name.

Since the Rust function has implicit/automatic behavior depending on how it's state is and how it's used by the callsite, and since the C one doesn't have any implicit/automatic behavior (as in, separate/explicit lifecycle calls must be made "manually"), I don't even see the reason for them to have the same name.

That is to say, having the same name would be somehow wrong since the functions do and serve for different stuff.

But it would make sense, at least from the Rust site, to have documentation referring to the original C name.

I'm out of context, but shouldn't it be possible to train a LLM-like model for images? (as an alternative to the stable diffusion process)

If you rearrenge all pixels from square-sized images using the Hilbert curve, you should end-up with pixels arranged in 1D, and that shouldn't be much different from "word tokens" that LLMs are used to deal with, right? Like a LLM that only "talks" in pixels.

This would have the benefit that you may be able to use various resolutions during training with the model still "converging" (since the Hilbert curve stabilizes towards infinite resolution).

I'm not sure if the pixels would also need to be linearized, then maybe it could work to represent the RGB values as a 3D cube and also apply a 3D Hilbert curve on it, then you would have a 1D representation of all of the colors.

I don't really know the subject but I guess something like that should be possible.

Those delistings notably had a great impact. This has a good assymetric cost for the abusers.

So either the copyright laws are "in practice" more getting in the way than actually helping anyone, or Amazon is missing punishment for abusers of copyright-related stuff.

Amazon allowing good-ratings buying, personal info scavenging etc puts Amazon's credibility in question, and I believe that this will eventually take it's toll.

The same can be said from the opposite side of the argument.

People will be on the side of free or subsidised healthcare and other social support regardless of their unpayable public debt rising even further and that it eventually may crush individuals from society that are perhaps not even born yet.

The "opponent" in this case is the wrong person who has a different political view.

The politicians who made those laws have no idea what they were doing. This only serves for those crooks to bribe companies.

Eventually we will get to a million laws and therefore a million different ways that they can bribe, and a million hours any company need to waste to do anything in this country.

This only adds uncertainty and forces chaos into everything. Let alone the arrogance of the government (or bystanders) to get in between what a private company and individuals consumers do.

The government treats the oh so poor consumers like stupid animals who cannot buy a freaking charger separately.

In the end this simply increases the costs for the consumers themselves.

I recommend reading "Human Action" by von Mises. It explains a lot of economic concept including central banks and money. Eg. on why any amount of money is always sufficient for any society (assuming it has at least enough precision for the basic needs of the agents). This ofc is the opposite of what the game was based on.

Another great article into central bank-caused recession is Rothbard's "Economic Depressions: Their Cause and Cure". It had explanation for phenomenas such as why the food sector is not as impacted, during the bust, as some other highly technological, heavy industry sector.

For a more visual concepts, I find Mike Maloney's Hidden Secrets of Money pretty good, although it's not as rigorous as the previous sources.

In my case I think I got used to have specific ff windows for specific stuff, and having the tabs "opened" feels quicker for me. But I guess I could get used to and switch to tags and bookmarking as you said.

I use an extension called autoTabDiscard (or something close) that unloads webpages that I didn't access the last 10 minutes, or that doesn't load any tab on startup, but the tabs keep existing in both cases. Then you can setup exceptions as well.

That's an essential for me.

I'm thinking about code/library sharing. It's useful to know from the interface what's the requirements regarding ownership and mutability. I tend to think that code sharing would be harder in vale (although I didn't read much about it).