I value material that makes me re-visit my own assumptions about the world.
But I tried listening to some of his podcasts and read his articles, but just could not suffer them at all. Tech Wont Save Us is worth people's time though - great work there.
This is why I'm convinced Sam makes his money from when OpenAI spends rather than when OpenAI earns.
If any.
Heavily weighted toward consumers, OTOH businesses have to spend a fortune before they can make a dent in GDP.
Over any one reporting period, don't worry those periods don't last forever.
No archive.ph CAPTCHA:
curl -K/dev/stdin <<eof > 1.htm
url https://www.ft.com/content/4c8d6420-d088-4660-8973-c4996cd990fb
user-agent "Mozilla/5.0 (Java) outbrain"
header accept:
eof
firefox ./1.htmBut you might want to actually fact-check a few of the things he says that convince you, because at least for his written articles basically everything is made up or misrepresented. There's plenty of links to sources, sure, but if you follow them down to the primary source what they're saying is very different from what Zitron is implying. It seems hard to believe that he's better at this in spoken form where citing a source is even harder.
I've tried to listen to a few podcasts and read some articles, and its just unbearable. Moreover, I find the main point that he harps on about - that none of the AI stuff is financially sustainable - to be largely unimportant. Like, if they want to burn their money, go for it.
The real issues - intellectual property, implications for the future workforce, environmental costs, or even that the money really ought to be invested in something else, whether public funds are going towards it, if taxes are being avoided etc - seem to be, at best, tertiary concerns for him. He only seems to be "mad as hell" that they're wasting money and no one else is talking about it.
He's also just plainly wrong when he keeps saying things like there's been zero discernable benefit to AI, as if it is just a creepto scam.
There is way too much front-loading of hiring strategies and infrastructure that happens on future (over-)promised capabilities, TAM and profitability projections.
If we are lucky it fizzles out into reasonable valuations and sound investments. If not we have had a giant misallocation of capital on an unprecedented scale setting us back by many many years, a diamond shaped work force in some sectors causing labour shortages and reduced growth in the long run.
The USA stock market is largely driven by a dozen of FAANG companies whose valuation is rising fast and who are investing tens of billions in the LLMs. And all those companies are mono-dependent on the Nvidia cards, whose valuation is skyrocketing based on those expenditures. So point 1 - if LLMs would be as profitable as expected, the whole FAANG top-10 will slow down or even drop.
Point 2 he makes - a lot of the LLM-only companies are deeply in debts, acquire more debt, and continue kicking repayment can down the road, all at the same time. So assuming (again) that LLMs are not as profitable as expected, some LLM-only companies can go bust.
I think he wasn't making a statement that LLMs are intrinsically bad or useless, at least in those articles I've seen. He was just saying that financing aspect if very iffy AND that current world IT sector is way to overdependent on LLMs.