Earlier quoted context omitted.
Being pedantic, but I don't want to lose the meaning of the term: "AI psychosis" doesn't refer to someone who thinks AI is really good. It refers to someone who develops symptoms of psychosis from talking to an LLM, e.g. believing they have developed a new Grand Unified Theory of physics.
I don't know, "workaday professionals will find $200/month a particularly good deal, such that there will be widespread adoption" sounds either credulous enough to support the diagnosis or dishonest enough to dismiss. I am a "knowledge worker" who is doin' fine, has a lot of templated written work/report writing, and there is no way in hell I am justifying that kind of spending to my boss or my family.
I think Anthropic and OpenAI have found product-market fit
881–890 of 1001 posts
Re: I think Anthropic and OpenAI have found product-market fit
#882Anthropic isn't actually profitable from what I'm reading, a discount briefly pushed them into the black. This guy makes the case well: https://www.wheresyoured.at/anthropics-profitability-swindle... I'm skeptical that their current price raise is sufficient, and I'm also skeptical that most users/businesses will accept more significant price raises that will be needed. Especially for individual users, $200 a month i…
Re: I think Anthropic and OpenAI have found product-market fit
#883Earlier quoted context omitted.
Yeah, that's the part that just seems to be wildly under-discussed to me. If open source models are ~3-6 months behind SOTA, and ~opus4.6 capabilities are good-enough for product market fit, do the frontier labs have half a decade to catch up on their prior burn? AI cost ballooning faster than companies can afford is becoming a very common topic in my circles right now. The era of "I'll pay infinitely more for margin…
Open source models that you can run locally are much more than 3 to 6 months behind. 6 months was the November inflection for Claude. No open source model is as good as Claude Opus 4.6.
They just have to be useful enough that companies don't need the best.
They are.
Re: I think Anthropic and OpenAI have found product-market fit
#884They've got, ballpark, $5t to $10t to make back in the next 5 years, or the hardware buildouts will start getting written down. This means we're going to need $1t+ per year in spending, per year, on tokens. 200m knowledge workers in the world, 30m developers. We're talking about a world where you need 5% of every knowledge workers salary to go into tokens. 20% if you're a developer. That's a _huge_ shift. Most people…
Re: I think Anthropic and OpenAI have found product-market fit
#885Earlier quoted context omitted.
Yet it’s backed up by adoption across the industry
MongoDB was once backed up by adoption across the industry. Or for a more recent example, blockchain took off like wildfire across the industry before ultimately fizzling out in all but the most niche applications. Not saying this trend will do the same, just that the industry adopting something doesn't guarantee its success.
By comparison almost all tech companies I know have leaned heavily into AI.
Re: I think Anthropic and OpenAI have found product-market fit
#886Earlier quoted context omitted.
That assuming once they start squeezing people won't just go to deepseek or other cheaper competition > That's a _huge_ shift. Most people I know cite +20%-40% velocity with these tools, against the actual work their company cares about doing. +20% speed for +20% spend isn't going to motivate a trillion dollars a year in spending. And most research shows people far over-estimating their own gains. Once companies star…
There's a lot of workslop pumping the numbers. People can generate a 300 page PDF in a tiny fraction of the time it would have taken, but now the report is full of mistakes and fluff, and the stuff that would have been learned and caught in the process of making the report is now not happening.
It's lossy compression for thoughts at this point
Re: I think Anthropic and OpenAI have found product-market fit
#887They've got, ballpark, $5t to $10t to make back in the next 5 years, or the hardware buildouts will start getting written down. This means we're going to need $1t+ per year in spending, per year, on tokens. 200m knowledge workers in the world, 30m developers. We're talking about a world where you need 5% of every knowledge workers salary to go into tokens. 20% if you're a developer. That's a _huge_ shift. Most people…
Re: I think Anthropic and OpenAI have found product-market fit
#888Earlier quoted context omitted.
What I also find confusing though is that folks seem to ignore trajectory which is maybe the biggest lede to bury. As Simon says, we have had "good enough" coding agents for 6 months, that is a blink of an eye, and at my company my job has now completely changed. It's almost like a dream. And that's just one inflection point. We've had several and there are many more on the horizon. So while I could be convinced that…
There may be additional major leaps forward, and there may not. I kind of struggle to imagine what the next step actually is. Certainly there will be improvements in performance (speed) and cost. But at a point you reach a barrier where the limiting factor is the specificity of the human prompt and our ability to manage all the code we’re generating. Somewhat oversimplifying; writing software and building apps was a…
In other words, most of the prompting will also go away.
Re: I think Anthropic and OpenAI have found product-market fit
#889More specialized products will consume tokens but their builders will be incented to optimize token use and switch models as costs and capabilities change. And if search engines become more AI capable, and Google is clearly striving for this, then they may have pressure from two sides that could squeeze the number of use cases for AI chat. AI coding isn't going anywhere and nor is the need for AI in general but I wonder if the products will have to evolve significantly to maintain the current levels of PMF. And then there's the question of profitability...
Re: I think Anthropic and OpenAI have found product-market fit
#890Earlier quoted context omitted.
That leaders are completely fine with impoverishing vast swaths of American workers because of "progress?"
I’m so curious: let’s say you’re the president or the CEO of a major tech corporation building frontier AI systems. What are your directives?