I opened Twitter to check one AI announcement.
Somehow it's been 3 years. ๐
And I noticed something:
90% of AI launches are beautiful wrappers around the same public models. So I spend way too much time reading docs and watching people break these tools.
Here's the pattern๐งต
๐จAnthropic are finished
You now have to spend $100 a month to use Fable 5 starting July 20th, unless you want to use usage credits (basically pay as you go, keep in mind Fable is very expensive)๐
The pro plan is pointless now, I don't understand why anyone wouldn't switch to ChatGPT or Grok.
the same week china drops a model that beats us frontier labs on benchmarks, the white house decides now's the moment to make US labs ask permission before shipping anything ๐ซ
kimi k3 catches up, and the response is more approval gates, not fewer. that's certainly a strategy
genuinely curious how "move slower on purpose" wins a race someone else is sprinting in, anyone got the logic here?
"american companies now use chinese ai models more than us-made ones" โ based on openrouter token usage
cool headline. what it's actually measuring: which model a bunch of indie devs and hobbyists picked on one public router this week, not which model fortune 500s deployed
china catching up on frontier labs is a real story. "and therefore corporate america switched teams" is a stat wearing a much bigger costume than it earned
axios says china "just erased" the us ai lead.
whether that's true or not, one thing is hard to ignore:
12 months ago, most people outside china couldn't name a single frontier lab besides deepseek.
now we're talking about kimi, qwen, minimax, https://t.co/bKRQoljFEb, stepfun, baichuan...
the conversation has changed.
competition is no longer hypothetical. it's here.