> While a plain-vanilla philosophy degree remains as hard to monetize as ever, David Chalmers, a prominent philosopher of consciousness at N.Y.U., observes: “I think the demand for philosophers with A.I. training is, if anything, outstripping the supply right now. It’s an area I encourage students to go into. I think these issues with A.I. will be front and center for a good while.”
But wait, there's this:
> Beyond nonprofits like Eleos, most of the hiring has been concentrated at DeepMind and Anthropic, each of which employs at least a half-dozen philosophers.
It's not "the company" that makes such decisions, but some senior managers or directors who do. They don't see a penny extra in their paycheck for savings money, but they are on the hook if anything goes wrong with less mainstream tech choices.
I think you're missing my point. China does not need to or aim to attract any researcher from anywhere. Just attracting top tier ethnic Chinese researchers and technical talent from the US is already a big unequivocal win for them. That talent pool is big: any US Math/Physics Olympiad team of the past 10-20 years is >2/3rds ethnically Chinese. And for them, Europe is not necessarily a more attractive destination than China.
We've had the great small Qwen 3.6 early April that many could actually run on their laptop. Then similar from Google a few weeks later (Gemma4, better in prose, worse in code). Then the super cheap large Deepseek V4 a few weeks later. Then antirez DS4 build that made that actually runnable on MacBooks and Mac Studios. And now the "near-frontier / near-Opus" GLM 5.2.
For people who follow open LLMs, none of these were quiet and all were the most interesting open model release for a few days/weeks. In one or two months, it will be some other model again. Now I do appreciate the real rapid improvements in open models. But there's also a ton of hype and fast-fashion around all of this.
Noteworthy that Z.ai, maker of the just released near-frontier GLM 5.2, has already been on the Entity List since Jan 2025[1]. Being on the Entity List does not mean all trade is forbidden. Broadly speaking it means American companies and individuals are not allowed sell them goods and services, but they are still allowed to buy from them and pay them.
AFAIK the Chinese AI companies barely depend on US goods and services, except for nVidia GPUs which were export restricted anyway, so it doesn't seem to be very consequential (see Z.ai). For the RAM maker CXMT it could be a lot more problematic though.
Hourly wage for all private sector workers is up +32% since Dec 2019 ($37.54 vs $28.38)[1]. For non-management workers +35% ($32.31 in May 2026 vs $23.85 in Dec 2019)[2].
> The biggest trap is the hallucinated citation. It will easily insert an absolutely authentic sounding quotation from another case that perfectly proves the point you are trying to make, then it'll make up an authentic name for it, e.g. United States v. Shenzhou Electronics Inc or whatever.
Naive question from an outsider: aren't there searchable databases of cases (with complete text) so that citations could be checked automatically, either by the same or an independent agent?
So this is specifically about Toyota's hybrid engines (which is very different from e.g. Honda's engine, not to mention plug-in hybrids or "mild hybrids"). The explanation of the mechanics starts around the 36 minute mark.
I always found most explanations of Toyota's Power Split Device too abstract, until I found this page where you can play with the sliders to see how the power is actually split between the ICE and the MG1/MG2 electric generators: https://eahart.com/prius/psd/
> The cities' water usage is to keep people alive with basically mandatory things, like hygiene, and drinking
Almost half of city water usage is for residential landscape irrigation, mostly spraying lawns, which is not exactly mandatory or a basic necessity. Landscape irrigation uses about 3.5 million acre-feet / year, which is 1 to 2 order of magnitude higher than the estimated AI data center usage.
> Why do you think an employer would waste resources like that?
The parent post specifically mentioned large organizations, where the "employer" is not some person who hires and pays employees from their own funds. Hiring and personel management is done by middle managers with their own interests and incentives, which can differ substantially from those of the owners or capital providers.
You mean his terrible financial decisions of founding a company in 2004 that IPO at 104B within eight years, and now 14 years on is valued at 1.6T? Are we looking different track records?