$175-200 per weekday in unsubsidized LLM use is roughly equivalent to a single $200/month Claude Code account. There is no way a developer using it heavily for their work could get through the month with that little amount of token use. I have two of these $200/month subscriptions just for my personal use. I would need more if it was my full time job.

Most people may get much less than you, but most people aren't using coding tools like Claude Code at work. According to Anthropic's S-1 filings, $1500 per month is roughly the average amount that corporate Claude Code users spend per month, not the upper bound. Based on AI usage at my company, if $1500 is the average I'd assume the top 5% of Claude Code users average around $4-5k per month.

A single personal $200/month Claude subscription represents around $3-4k of tokens per month (heavily subsidized). I recently scaled down from 3 of these accounts to 2 of them after Opus 5.5 became far more efficient with token use (plus being more effective without needing the Ultracode effort setting), and I am not even using these tools 40 hours a week.

Trade Wars was a daily staple for me. I eventually got a GUI that could automate tasks like firing probes to map the universe, exploiting profitable trading pairs, and... I don't remember what else it could do, lol.

That game was definitely an inspiration for many that came after. It wouldn't surprise me if EVE devs played TW back in the day.

AI doesn't have to replace all jobs to be impactful. Unemployment during the Great Recession peaked at 10%, which was about 5-6% higher than the baseline at the time. The worst recession since the Great Depression that almost took down our economy only required having about 5% of the workforce lose their jobs.

I don't understand when people make the obvious comment that AI won't remove all jobs as some way of saying there isn't much risk.

Yeah you have to be a special kind of stupid to think permanent DST is a good idea. We should get rid of it all together, not make it permanent.

Or just get rid of daylight savings time instead of making it permanent. Permanent DST is the worst solution.

You are conflating two separate issues. If and probably when China does surpase the US economy, that won't mean individual Chinese citizens are better off than US citizens. It will simply mean the country as a whole is outcompeting the US, mostly because of its size.

And when it comes to engineering, the PPP salaries of US and Chinese engineers isn't that different. Chinese engineers make around $100k annually in comparable purchasing power, which is only about 25% less than a US engineer and about the same as a European engineer.

Where did you get this idea? Median Chinese income is ~$5k in nominal USD, but that only equates to ~$10k after factoring in purchasing power parity (PPP). That is still about 15% of the purchasing power of a US worker.

Your argument basically defends any propaganda as a good thing. And you seem to believe that emotion-based fear mongering can be successfully countered with rational fact based counter arguments. I strongly disagree will all of that.

And yet if nobody tries to actively manage a fund then index investing doesn't work.Indexes need the price discovery that only comes from active investing.

Insanely, it's still the cheapest way to pay some of my bills. They charge extra for using a credit or debit card, and the cost of a stamp + paper check is less than card transaction fee. I keep dutifully mailing them a check every month, hoping they'll get tired of having to deposit manually and just make everything the same cost...

Necktie? Nectar? It was definitely an n word.

Most likely the next step change in AI improvement will come from the next generation learning from today's LLMs and diffusion models. But not being trained on their output. More likely they will be evaluated by current AI.

AI advancements have a predictable pattern. First we mimic how humans do something, then we use those AIs to evaluate the next generation which learns how to do it without mimicking humans. LLMs have been trained on human output and work by trying to determine what a human would do in any situation. The next generation will most likely learn how to think and speak without ever seeing a word of human generated text. Now that LLMs exist to evaluate their output we have the necessary building blocks to design the generation of AI that can really produce content far better than any human.

We are living in the era of early-to-mid 90s chess engines, where AI learned from human moves and brute forced its way to barely beating the best in the world. It took 10 years from the point where chess engines could compete with top humans players until chess engines were effectively unbeatable. And those unbeatable engines were trained by other AI, not by looking at human games. It got to the point where looking at how humans played would have just made it worse.

That's why they compared it with YouTube shorts, which is basically YouTube's TikTok replica.

I'm not sure if that's true, but it would make sense if it was. Alpha males (ignoring there is no such thing) are the most restricted by laws, because they are the most likely to get their way if there was no enforcement of laws (through the natural law of might makes right). So it shouldn't be surprising that they'd be the least likely to let something slide without getting the police involved to get the same outcome they could have done themselves if the laws allowed them to use their own physical force. "Less alpha" individuals may be more used to not getting their way regardless of the laws, are therefore feel less entitled to get the police involved as quickly.