PaulKeeble

I think those in poverty have an awful lot less ways to supplement bought food these days, they are largely legislated out of foraging in any meaningful way. So I think actually a large percentage will starve to death or be in prison.

Or use something Kodi as the OS and just have a TV like interface. You can also run a Jellyfin client on linux or with Kodi and have that as a reasonable interface for the TV too.

Those viewpoints are always there in society and many people just waiting for the leader who will harness to come. It is one of the hard pills to swallow about humanity that authoritarianism is a popular movement brought forward with cheers and votes.

Feels like the whole industry of technology has been driving this direction for a while, removing ownership and replacing it with making everyone rent from them.

I don't think many people were even aware that there was a market betting on mortgages. People could see that rates were low and people were getting mortgages that couldn't pay them but the enormous credit market betting on it and bundling them together was something only the finance people and the ultra wealthy knew about.

This one everyone can see it, its very public, it has daily enormous public marketing from all the sellers of AI in the press.

The bigger issue is not that the direct AI companies go down in this bubble, its that they likely take Nvidia, Microsoft, Google, Intel, AMD and other big tech companies with them, hardware and software that are hugely intertwined with the global economy and many other businesses and underpin the modern computing world. Letting all them go bankrupt will have a huge impact. The problem with AI is the people exposed to it are not just AI companies, existing big tech has overinvested in it.

What I find they do badly in code is building abstraction and breaking the problem down in a way a human does. They don't seem to really build simplifying components unless you expressly tell them too, they are more than happy to just nest 10 deep or embed a 20 line called back function and use lots of shortened names. I find I can improve the code just by organising better and choosing some abstractions that make sense to the humans and then ironically you save tokens too because the AI will reuse it, but it wont create most of it itself. Its bad for domain work unless you are explicit about it.

I just can't seem to stay interested and read LLM text. It just seems to lack going somewhere, its information density is often really low and its full of odd isms that I don't find very interesting to read. I don't have a good radar for detecting the various LLM particular speech patterns but everytime I have an issue with an article there is always people talking about how its clearly AI written.

I find the same thing with written results out of AI "research", it is a slog to read through it and most of it can be skipped even if it can sometimes be useful its an unenjoyable read.

One key aspect that most people don't seem to be aware of is that there has been a lot of research in the cancer causing impacts of Covid infections. Its been implicated and mechanistically shown to cause a number of cancers and Covid hangs around in the gut for years/potentially ever we aren't yet sure in some people and it acts like a phage. As a phage it infects certain bacteria in our gut and drastically changes the microbiome, pushing it towards colonies of bacteria that are implicated in colon cancer.

The scientific evidence isn't there yet for colorectal cancer but its being investigated in studies at the moment and we are expecting a mass disabling event due to Covid and Long Covid and a big increase in a variety of conditions including cancer. Its one of the most studied viruses in human history and it does a lot of bad stuff and most people are catching 1.5 times a year.

We need a step change in the amount of silicon chips produced. This situation has been going on now for over 2 decades, initially bitcoin but ever since various high compute scenarios keep causing GPU shortages and now RAM and storage as well. This one isn't likely to go away anytime soon so we need a drastic increase in production to bring pricing down to reasonable levels.

Owning your email accounts with your own domain is just a good idea given the state of things, even if you ultimately just deliver it into Gmail or whoever. It gives you the ability to spend an hour and have all your email appearing with someone else in the event that a companies algorithm goes haywire and cancels your accounts.

I have tried the Thinking cap and the Swift model for QWEN-3.8 27B and my experience was its not as smart and capable, the results on the same task were less impressive. For the amount of tokens saved it might very well be worth it but I wanted to run the xhigh precisely because I wanted the peak result. I haven't tested this but I suspect it ends up much the same trade off, in theory it does well in the benchmarks but in practice on your own tasks its not as capable.

Seems like this is more about the introduction of LLM code reviews that has found edge cases that would have otherwise been missed and fixed as they appeared over years in the future. The issue is that the volume of issues has been beyond what people could do in time.

--cache-type-k q8_0 --cache-type-v q8_0

would drop it from fp16 to 8 bits. You don't want to go below 8 bits if you can possibly avoid it and if you really do need to squeeze just drop the v value to q4_0 but leave the key alone. Unlike model quantisation this really makes things worse quickly.