Not paying back US debt triggers a global depression.
300 karma · joined October 15, 2025
The bar for what counts as expertise is shifting. If someone with relatively little background can use an LLM to get to a reasonably informed answer much faster than before, then experience and credentials alone carry a bit less signalling power than they used to. That obviously doesn't mean the inexperienced person suddenly has the judgement, context or intuition of an actual expert, but I do think some of the hostility toward AI comes from discomfort with that change.
AI is still wrong, goes in weird circular loops, and doesn't solve the fundamental human problems around judgement, organization, learning curves, accountability, etc. But it does seem to be raising the baseline expectation for what a competent knowledge worker should produce, and I feel that shift is genuinely uncomfortable for a lot of people who based their identities around being rigorous abstract problem solvers.
Introductory pricing until December 2026 implies no significant Gemini Flash developments until the next year.
I ended up taking just one that way. The policy was really designed for the breadth year because in upper years, you had much less room for electives, but you could try a difficult or unfamiliar subject without worrying too much about your GPA. If you discovered you liked it enough to switch into that major, the course would then be converted to a regular graded course.
I think allowing 3-4 Pass/Fail courses in the first year strikes a good balance. It gives students room to challenge themselves and explore unfamiliar subjects, while still preserving grades as a useful signal of whether they're prepared for college-level work.
Because I don’t think “the subsidization train is going to end” necessarily means current pricing becomes impossible.
If capital keeps pouring into frontier AI, companies still have an incentive to subsidize access while competing for users and market share. And if that subsidization starts drying up, there’s even more incentive to bring inference costs down by making smaller and cheaper models catch up to today’s frontier capabilities.
So either way, I’m not sure you can extrapolate from the cost of serving current frontier models to what equivalent capability will cost two years from now.
Obvious caveat being that Claude Code might give you a confident statistic without being able to validate if the question can be validated with the sample (StatsCan suppresses C grade data and below).
Substack thrives because it's built a reputation for having well-reasoned or engaging voices in a newsletter format. They pushed a big campaign to onboard writers like Bill Bishop (Sinocism) onto the platform early on. Because of that, newer writers are likely seeking to tap into the network effects/discovery systems that comes with having big names on the platform.
People log onto Instagram, Tik Tok, X, etc. because the people they're interested are already on the platform, and the platform provides a recommendation system that allows newer "creators" to tap into an existing audience for others in their niche.
I do wonder if there’s some pluralistic ignorance going on, where travelers convince themselves it must be amazing because everyone else seems to think so.
It didn't give off the vibe of years of collected flavors; it was a thin broth and it didn't taste like much else other than beef broth from a fancy instant noodle packet and a ton of MSG (and to be clear, I'm normally a proponent of MSG but it genuinely was overdone here).
Maybe it really is just the volume that they're going through that's affecting the taste and composition, because they were doing decent business, but this was the biggest disappointment on my short visit to Bangkok.
I didn't realize I could download a Shanghai apartment.
I would hope they return to their home countries with their expertise and start or join new competing frontier labs, similar to how Taiwan's homegrown semiconductor industry arose from US companies enforcing a bamboo ceiling on their Asian engineers. Taiwan was able to repatriate their nationals and make incredible compounding leaps in the semiconductor industry, to the loss and chagrin of the US. [1]
[1] https://www.npr.org/2022/10/07/1127595393/taiwan-miracle-sem...
On top of that, the cloud offering doesn't seem that well-run, they randomly blocked a colleague's API key for a couple days without any heads up, had a weird rate limiting bug and they have been deprecating models without redirects with very short notice, all while taking weeks to onboard new models. I assume some of these problems would be addressed if we had an SLA/enterprise contract.
It's a promising idea though. They offer a $5 trial credit (with an aggressive rate limit) though so no harm in trying it out.
I agree. This is a real problem in law enforcement. The issue is that while they're competing interests, my right to remain innocent should rationally supersede the deep profound desire for justice (but I recognize it rarely plays out this way).
The collaboration is informal. People don’t seem to realize this, but the Chinese internet for programmers and developers today feels a lot like StackExchange in its heyday. There’s a huge emphasis on sharing knowledge, because sharing what you know builds your profile, and becoming a rockstar in a subfield is one of the only ways to get ahead.
Competition in China is ruthless. But unlike in North America, where individuals are often bound by agreement to hoard knowledge because it can give them a competitive edge, the competitive advantage in China is building face and peer recognition. And that comes from proving that you are worthy of being a "master/teacher", and that extends to the valuation of your knowledge business. For example, the third wave coffee shops in China, the master roaster is often called "master/teacher" once they win a roasting competition and start sharing new knowledge of roasting in the public sphere, and that's a title of sincere respect.
You can see parallels with those that apply to give talks at conferences and post snazzy technical presentations they give in the US, but the bar for what qualifies as new knowledge is far higher in China because there's a massive ecosystem of people rushing to outcompete what you have to offer, and once the ball gets rolling on knowledge sharing, lots of people will go off and build upon that knowledge or try to build businesses on top of that, which in turn produces more knowledge.
Reading developer forums in China, once you crack the code (I find Gemini will get you a good chunk of the way with good translations), they are really quite far ahead with what they're willing to share. And I suspect in great part, the decision to release open-weights is heavily tied to that concept of building face/peer recognition = building valuations.
You are not wrong for thinking that, but I encourage people to consider that generally the business and editorial areas are largely independent of each other because of the value of editorial independence in case they think that the lack of ethics applies to their journalism too.