The US has spent the last 12ish years betting that they're the only country that matters, but the end of result of that is that somehow when I talk to Australians in my age group the average person has a more positive opinion towards China even than the US.
It’s because their definition of “acceptable” mostly involves screwing over the other team.
Trump won by 1.5 margin points, what are you on about?
Give me your address I'll have the grass shipped to you my man.
If we live in a democracy, then we are responsible for the actions of our government.
And the nice thing about the GPU restrictions is that even if they don't work completely, just making the hardware more difficult and expensive to access is useful.
[1] https://ballotpedia.org/Election_results,_2024:_Analysis_of_...
Not being politically active is a political choice itself.
err... you guys voted for the administration that fucks over the rest of the world. Twice. So tell me, why would you expect the rest of humanity to show any kindness to the populace entirely responsible for what is happening right now?
I lament that there wasn't a stronger candidate running against him, but the Democrats didn't have a primary, and even if they did, I'm an independent and do not vote in primaries ( this has changed in Colorado thankfully). A different, stronger candidate could have likely beaten Trump
Without access to US models, I'd be limited to asking simple questions in chat interfaces and maybe some grunt work in coding CLIs, but even that the weak models will mess up.
Nothing has reached Opus and GPT5 levels in my personal experience, which also aligns with what the labs themselves admit ("near-frontier").
So now the question is whether the capabilities of other models are worth their far cheaper token prices.
Plus, are we at all confident Opus or GPT 5.5 aren't about to get shut off?
You mean, GPT 5.5 xhigh and Claude Opus 4.8 max? At least the benchmarks / public evals / rankings show some of the new coding models (ex: Qwen 3.7 Max & Mimo v2.5 Pro) are Opus 4.7 & GPT 5.4 level (but 3x to 5x cheaper): https://artificialanalysis.ai/leaderboards/models / https://gertlabs.com/rankings Personally speaking, in the past 1mo or so, I haven't missed GPT 5.4 / Opus 4.7 after moving to Qwen 3.7 / MiMo 2.5 / Kimi 2.6 et al.
Comparisons using the vendor-specific effort is apples and oranges. Ideally the evals would use a thinking token cap or something, so we can compare per-token performance. But eval is hard enough as it is.
I honestly think that DeepSeek is as good, and sometimes even better, than the competition.