lol, I saw that going aflame among the promptfondlers nearest me, too
model auto-tune. they’re getting hype for model auto-tune. I expect we’ll little outside breathless tests of autotuned models for a few days
this combined with the anthropic amended s-1 (which I very briefly dug into here, will dig more later), the numbers are all just about as bad as I’ve been thinking they’d be
so there’s a new nber econometrics paper out, covering our favourite industry
it has some bangers in it
Paid adoption is substantially more common among younger and higher-income consumers: those earning more than $200,000 per year are 1.7 times as likely to pay as those earning less than $50,000, and those younger than 55 are 1.8 times as likely as those aged 55 or older
starting strong!
This force creates a dynamic incentive to set lower prices today: lower prices attract more users, improving future model quality and raising future demand
I don’t entirely follow how setting lower prices today improves future model quality but sure I’ll go along with the ride
Despite this limited horizontal differentiation, we find some degree of vertical differentiation across providers, consistent with observed market shares. At the end of our sample, the average consumer was willing to pay a $10 monthly premium for OpenAI products relative to Anthropic products. Part of this difference reflects model quality: our estimates indicate that consumers are willing to pay more for higher-quality models. For instance, moving from GPT-4’s capability level to GPT-5.5 Pro’s raises average willingness to pay for OpenAI products by approximately $25 per month
We also use the model to examine how consumer preferences for AI services shape competition. We begin by considering substitutability across services. By the end of our sample, all pairs of AI services are substitutes on average
“do you want tea or coffee?” “yes”
OpenAI has the highest retention of all AI products we study, with 77% of people still paying after one month, 65% after three months, and 55% after six months. Anthropic and xAI are lower, but similar to each other: around 65%, 50%, and 40% after one, three, and six months,
in the words of basement jaxx, down down downdown down downdown downdown
chat is it good when your world changing ai god keeps not getting picked for anyone’s team during lunch football
hah, nice. yeah the template layout immediately made me think that, but your word has far more weight :)
they can go piss themselves! over there somewhere. that isn't here.
"lounge carpet smelling like piss" is not a thing many people want in their lounges
I really dislike how he believes that LLMs and fascism are “separate axes”. Where does he think the LLMs come from?
valsorda worked at google for a very long time, well past when it became clear that they were no longer the good guys. his motivation for this was (only very slightly paraphrased) "well, it's better than whatever else I might get in my home country" (italy)
he's also had a few choice other takes over the last few years, enough such that I stopped following his work. I would not be too surprised if he turns out to be quite a shit in some years to come
you're the kind of programmer your colleagues hate having to deal with
looks like iocaine with a papers corpus (although I guess kyle could've made his own thing too)
The only thing that would really prevent me from migrating to greener pastures is if they stop collaborating with the Zionist Swiss University that support Israels military.
so they're actively doing it, but you're also still actively on their service. and you'll only consider not moving if they stop that collab? you don't consider moving now, while they're still doing it? wat
support mail, "hi I was considering using your service but on learning about your CEO's shitty views have decided to take my money elsewhere"
yes but that’s not actually the hard and costly part. the hard and costly part is the actual training action, which runs in the hundred of millions if not more
which, y’know, when lower prices…..