

Some people are finding value in LLMs, that doesn’t mean LLMs are great at everything.
Some people have work to do, and this is a tool that helps them do their work.
Some people are finding value in LLMs, that doesn’t mean LLMs are great at everything.
Some people have work to do, and this is a tool that helps them do their work.
The ‘cloud’ was a pretty big thing though… everyone used to self host, now only some self host.
AWS, GCP, Azure make a lot of money
Sure. Statscounter has a history of questionable data. They don’t have a representative sample of websites, and there are technical challenges.
Finland is a small population so would suffer from sample size issues.
What catalyst is there to drive an almost 4x market share growth? And the collapse of Mac?
Flip through a few countries, you can tell they are having issues with OS classification.
This is partly because there is no good supply chain or real wholesale market for mid priced consumer packaged goods. It’s essentially completely owned by the ogilopolies.
There is for produce and meats which share the supply chain with restaurants.
Yeah this is very likely bad data. This whole post should be deleted.
If you want to use AI to express yourself through art. Go ahead. You are free to express yourself.
Yeah exactly!
Could this be attributed to the driver mix changing?
It’s quite possible tesla drivers are worse in 2025 than 2024
Why do people need a reddit alternative? It’s not really important.
Because it gives the platform engagement? Provides them with traffic/ad impressions to monetize? Out of all the boycotting, the tech boycott is most important
I hear that. I meant it more as a read on human behavior than concern over well being :)
I’m wondering if this incident is providing an off ramp for some people, mentally.
Like, it’s hard to admit being wrong, or picking the wrong side. There is a certain amount of dissonance they must feel. This provides an opportunity to exit.
LLMs are helpful for a bunch of business use cases.
I’m seeing AI generated images in advertising. And llms for advertising copy.
I’ve seen AI generated images used creatively.
I have yet to see AI replace human creativity.
Mediums that mostly rely on human expression rely on human expression.
Mediums that rely on technical expression may take advantage of technical expression.
Medical sciences in general have terrible gender and racial biases. My basic understanding is that it has got better in the past 10 years or so, but past scientific literature is littered with inaccuracies that we are still going along with. I’m thinking drugs specifically, but I suspect it generalizes.
Honestly you wouldn’t want to drive there as a visitor. Like, you wouldn’t be driving from spot to spot, that would be a nightmare.
Hopefully they have decent medium term parking garage on the outskirts, then you could park and then transit/walk/uber/taxi. That would be ideal.
Edit: or I guess just park at your hotel for the entire stay. That would be even easier…
I might be misunderstanding, but how is using a meme template, art?
Memes are lame. Generative images isn’t art. Both have been used in expressive ways in some cases, but generally it’s still shit internet culture.
Memes are worse than generated images in my opinion. Memes were the beginning of the end.
Fair enough, I am thinking of decriminalization that’s being moved away from, which is further along the spectrum.
I kind of see your analogy, but driving a car has utility, and is much safer (although I would like to prevent some car driving as well). Fentanyl addiction is not a natural course.
Anyway I don’t think we will agree, so I’ll take a separate tack. Yes, prevention and treatment is a separate issue. It also has wider support, so my wish would be that government can get some consensus here and take action.
I don’t disagree that having professionals nearby can prevent overdose / accidental death.
My concerns are: Safe consumption sites are controversial, and their support causes broader backlash. Usage rates are low and not a good use of resources.
Proponents are misusing data:
users of SCS would tend towards wanting help anyway and don’t speak to broader efficacy.
‘Lives saved’ don’t take into account any increase in use from a system perspective. That is to say, reduced stigma I believe increases drug use and death. Studies I’ve seen look at a micro level but not macro level. Example, “we prevented 10 deaths”, but they dont take into account any increase in drug use from its normalization.
It’s OK to feel shame for being addicted to drugs. But I also get we don’t want people hiding away and dying. Stopping use should be the goal.
The people on the front lines have an important perspective, but they aren’t seeing the whole story.
Aren’t cities moving away from SCS because it’s not working?
I mean, I agree that a lot of money was spent training some of these models - and I personally wouldn’t invest in an ai based company. The economics dont make sense.
However, worst case, self hosted open source models have got pretty good, and I find it unlikely that progress will simply stop. Diminishing returns from scaling data yes, but there will still be optimizations all through the pipeline.
That is to say, LLMs will continue to have utility regardless if Open AI and Anthropic are around long term.