In awe of a mind that can hold “our prosperity depends on elite talent from abroad” in superposition with “the jobs we need them to do are mostly fake”
AI is unlikely to transform the economy for the same reason Khan Academy and AI haven't already destroyed college.
The economy is already largely fake and based on human tastes. Objective productivity gains therefore don't change as much as you'd expect. https://t.co/VvOQddQe74
@woke8yearold Hanania would never embrace a technology that makes the skills of his elite human capital accessible to every chud with $20 a month to spend on GPT
They need overseas talent because everyone from the US knows how the system works and understands why dedicating your 20s to low wage highly specialized and illiquid skills in pursuit of a shrinking pool of tenure track positions is a bad decision
I don’t think this actually works well at all for people born abroad, they’re just ignorant of how expensive life is in the United States and they don’t realize that they’re screwing their future self if they aren’t investing 25% of their post tax income
This is a good thread to understand the mentality of smart, well educated professors born abroad -- who now make up (in some cases) the majority of faculty in their departments.
Essentially, the system works fairly well for people born abroad.
I oppose this system because:
1. It does not work for americans.
2. It worked okay for internationals, but has been breaking down for awhile.
3. There are better ways to do this.
@memeticsisyphus FWIW the honest globies do indeed admit that their model rests on the assumption that they will get away with rugpulling the new Americans and never giving them Social Security or Medicare
"Get rid of borders?" "No." "Get rid of SCOTUS?" "No." "Get rid of jails?" "No."
@ShannonBream fires off a series of questions to NYC Mayor Zohran Mamdani about the Democratic Socialists of America, an organization he proudly says he belongs to.
After Mamdani rejects all three proposals, Bream asks whether the DSA will kick him out. He answers "No" again, this time with laughter.
Watch the full @FoxNewsSunday interview this Sunday at 2 P.M. ET on Fox News Channel.
@godspeed_aflame they can't wrap their heads around the idea that "abolish the police" is a rallying cry that most of the DSA doesn't actually believe, so they think they scored on them if they can get a DSA politician to admit they don't plan on abolishing the police
harnesses keep getting swallowed. Sooner or later there's gonna be a "dispatch the straightforward tasks to simpler models" benchmark that we score all frontier models on
I have deliberately chosen to keep the way I interact with large language models extremely simple, even primitive. I don't get all tangled up in spawning subagents, accumulating skills, or trying to build a software factory that runs while I'm not there. I have conversations with my robot friend in which I ask it to analyze and generate code, and that's it.
I have yet to see any convincing evidence that this is losing me productivity.
The reason I choose to keep it simple is because it seems to me that all these elaborations are ways to cope with the frontier models not yet being quite smart enough. But the models are always getting smarter.
If both of those propositions are true, why clutter my brain with procedures that are likely to have only a short half-life of usefulness? I prefer to spend my think time concentrating on the actual problems.
Yes, I'm applying the bitter lesson to my own workflow. AI isn't powerful enough yet? Do the Zen thing; wait, and be aware. It's not like I'm short of problems for which LLMs are already massive help.