3,257 karma · joined May 9, 2018
Fortunately, I already have a VPN anyway :)
> the Government announced plans to house 1,256 male asylum seekers in a nearby former military base.
It seems a bad idea to put them all in one place where they will outnumber the local residents almost 4-to-1
OpenAI and Anthropic are in the lead now so it makes sense to 'slow down' and ensure Qwen, DeepSeek etc. aren't given the opportunity to catch up.
Given that this is a much simpler problem than a fully humanoid robot, I'm not going to hold my breath for those.
The biggest reason for humanoid robots is that they will need to function in environments designed for humans and used by humans, sometimes even alongside the robots.
This is very different to something like a factory or even a warehouse, that can be designed to be used almost exclusively by the robots.
But I think that's fine as I don't want Claude to write literature, I want it to solve problems.
Nowadays, they are just more expensive and inferior to the Roborock ones though. But thanks to the wonder of protectionism soon the customer won't be able to pick the better product.
Hopefully, the sequel (which I believe is already being worked on) won't have such a story.
That said, I really liked the story in Phantom Liberty. In fact, that entire DLC was really well done.
Sometimes fact is stranger than fiction.
I have a dishwasher so I do minimal washing up. I don't have a dryer as I air-dry my laundry but I could get one if I wanted to. I have a Roborock although I don't use it much since having a toddler.
But folding laundry is the one chore which still can't be automated. Even cooking itself has become much easier with air fryers etc.
Anything that frees us from labour is good.
It meant when I got to university I knew how much I could drink (although as a student I was too poor to drink much anyway haha) whereas there were people drinking like half a bottle of vodka.
I don't drink any alcohol nowadays so it's not like it turned me into an alcoholic either.
That said, I find it odd that people assume that reading a book is always higher quality than reading the internet etc. - many books are pretty low quality.
And if we look at stuff like the PISA scores, it doesn't seem like this supposed higher rate of reading is paying many dividends.
But the purchasing experience is top notch and they even have a generous refund policy. It's just lightyears ahead of the competition.
Instead, they paid way over the odds for IPs that seem past their prime.
But even as an Englishman, it was very different to home. I remember the supermarket was shut all Sunday and was only open until 12 on the Saturday, and it shut early in the week too (at like 5pm or 6pm or something?) so by the time I'd got the train back home from work it was already closed. I had to get up early every Saturday just to make sure I could get the shopping done.
I remember once I waved at my neighbours who were sitting eating in a common garden area and they acted super confused that I would wave to them.
It didn't seem like an especially friendly place and there were so many rules about everything too, like just being able to take the rubbish or recycling out you had specific days and times.
But at work I can only use the approved Enterprise Plans we have and we only have those with Anthropic and OpenAI.
In what universe is any company going to give that advantage away?
In any case if they take away a lot of market share it's basically the same in the end - most people will be using these optimisations.
But you can get an awful lot done even with just like $200 a month at API pricing if you are careful not to waste a powerful model on an easy task, or carry around a bloated context window etc.
I think a lot of the 'tokenmaxxing' people spending thousands every month are simply using the tools ineffectively (like having loads of Opus agents doing tasks that Sonnet or even Haiku could do). I suspect this will only get worse now with the release of Fable, but Anthropic must love it.
When you say the cheaper models do you mean like Deepseek or GLM? I haven't tried those but they look interesting. It'd be nice to shift to open weights and not be tied to one company.
The Talkyard example is interesting - how does it differ to the algorithms Reddit uses to sort by "Best" or "Hot" when looking at comments (I think Best is the default now too, not Top, so presumably it takes recency etc. into account somehow).
There he suffered massive patent infringement, that basically stopped being enforced due to the sheer economic importance of the cotton gin.
In a similar manner, I think there is a reasonably strong argument that it was wrong to use copyrighted material for AI training without paying royalties nor even asking for permission. But equally, every country wants to have the most powerful models and enforcing such royalties would make it effectively impossible to train them as the amount of material required would cost an insane amount in royalty fees.
So I expect the law will continue to turn a blind eye (perhaps enforcing some token payments like that $1.5B mentioned in the article) because "if we don't make these models, the Chinese will" etc.