In case you wonder where the current trends come from.
“Peter Thiel and Marc Andreessen have parlayed their extensive ties with the president into an unabashed assault on universities and institutional science. In private text messages leaked to The Washington Post last year, Andreessen wrote that “universities are at Ground Zero of the counterattack.” He characterized Stanford and MIT as “mainly political lobbying operations fighting American innovation at this point” and vowed that universities would “pay the price” after “they declared war on 70% of the country.” Most troublingly, Andreessen called for the National Science Foundation to receive “the bureaucratic death penalty.””
Also, Andreessen’s wife of two decades attended Stanford. Her billionaire father ensured that their surname (Arrillaga) is plastered all over the campus.
Musk uses Twitter to keep up appearances and routinely posts UBI propaganda that will obviously never materialize. Why would the guy who slashes social security (except for his corporations) introduce UBI?
The genuine worry is that these people have too much money and do seem unhinged. Thiel promotes the Antichrist and the apocalypse, Musk reposts weird Grok pictures of women as dark angels with wings as well as constant pictures of his mother. Material for a Hitchcock movie.
Both should be under anti-constitutional observation in the EU just like Scientology, which was also inspired by SciFi junk.
He’s been nuts for a while. See naming one of his (many many many) children some keyboard smash nonsense (supposedly the name of some guardian angel because he believes in that)
> He characterized Stanford and MIT as “mainly political lobbying operations fighting American innovation at this point” and vowed that universities would “pay the price” after “they declared war on 70% of the country.”
Oh? He vowed what? To make them pay the price? Or did he just predict a cause and effect and The Nation (your source) is libeling him?
Bureaucracy and momentum can lead to rot. It’s not a bad idea to tear things down and rebuild in order to extirpate that rot and misdirection.
Companies tend to have restructurings and stack ranking. Obviously these have their downsides too. But they also serve to shake things up and reassess direction and needs. If you’re swimming in money often you can skip this till you hit the skids.
Move fast and break things is, in fact, a bad philosophy to work by and govern by. Especially when the people in charge admit to not wanting to rebuild.
It's also all too easy to arbitrarily label something as "bureaucratic" and demand that it gets razed and rebuilt. I'm sure Palantir has some level of bureaucracy internally with all the new contracts it has won - perhaps we should also rip that apart?
Fact is that a university that must simultaneously handle education, research, publishing, estate management, legal stuff, media coverage, health and safety etc etc etc ends up being somewhat bureaucratic.
I summarily reject any notion that our "universities" are broken.
This claim has been parroted around for the better part of a decade now. IT is an obvious right wing think tank target. Sprinkle in some heritage foundation too.
The reality is, these universities were independent institutions that did their jobs to teach without bias.
Only when fox news and right wing media captured all the news sources did "universities" suddenly become "liberal thinktanks".
Our science and research institutions arent broken. It never was. It's under attack by right wing propaganda to "bring them in line".
That's not at all what privatization does. It tears down a system built to benefit the public, and rebuilds a structure designed to profit a small number of individuals instead.
There certainly is a problem in universities and some of it might be a recent cultural development. It also isn't restricted to US universities either and some of it mirrors the a church that wanted to keep some knowledge under wraps. Publishing is also a perverted circus if you indeed are employed as a scientist and want to publish your work/findings.
That said, just razing everything down is probably not the solution, especially if there are indeed no ideas how to improve the current state.
Are you sure? It would be great to get official/semi-official validation that thinking is or is not resolved to a token embedding value in the context.
I know my use case and my personal experience :) i am not trying to pretend that it is the best in benchmarks, just sharing my experience so people know that some folks are having a very good experience with GLM models, compared to the competition.
My only goal is to encourage people to try it out so they can see if it moves the needle for them, because there are fair chances that it will. I am not trying to start a flamewar or something.
It’s not a flame war, and you’re not just sharing your experience and encouraging others to try it out.
You’re making a claim, and I’m pointing out that it’s unsubstantiated and not consistent with any other source of data, including that internal to the company that makes the model.
I hope you can see that that’s different than saying it’s worked well for me
Sometimes we STEM folks are way too rigid, I obviously meant "IN MY OPINION, GLM models are at this point superior to...".
I do not think that anyone who read my comment understood it differently. But I grant you this point, this is just my opinion based on my personal experience not the result of a scientific study.
Once this is said, i wasn't submitting a scientific paper for preprint, just posting my opinion on an internet forum.
Not sure why you are making such a big deal out of it, especially for something for which people can decide within minutes if it works for them or not. And I haven't seen you nitpick on other people saying that all Chinese models are garbage incapable of doing even the most basic task, without quoting any study. This kind of scrutiny tends to be one-sided.
Edit: and regarding what the z.ai team is saying about their models, just check their Discord and the articles they link there. They themselves say that their latest models have leading performance on a number of aspects. It is misleading to suggest that the authors of the model are not proudly saying that their models have best in class performance.
The features here don’t seem game changing. The most compelling parts are mostly already available in Claude or Codex or their related apps and services.
The biggest concern is that if you want to use SOTA models I don’t see how they can match what you get with the subscription plans of Anthropic and Open AI, whether your spending $20 or $200 a month.
Even if they could match what you get in terms of token quantity, they are giving their tools away for free for the foreseeable future and Cursor is not.
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