341–350 of 557 posts
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YouTube, Spotify, and most video steamers have zero ads on paid tiers. I never see video ads.
I don't paid anything to YouTube and I don't see any ads. Because I block ads.
Cynicism makes you sound smart. Optimism makes you successful.
The cynicism around this technology is everywhere, even though it clearly has real power to solve problems. It is a technology which enables so many use cases that were impossible before, that makes it very highly hyped/expected. And that is causing an immune (over) reaction by natural skeptics, that's an error.
People need to take a measured, reality based, view of how the technology is being used today, the adoption curve, and the increase in capabilities over time.
It's clearly being used strongly, and may even be revolutionary.
Bubbles burst when there's no 'there' there. AI has an undeniable 'there'—the only question is the timing of the ROI.
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Isn't salary a proxy of how hard to replace one person or a group of persons is or how valuable they are? There was a surge in demand for SWEs and scarcity brought salaries up. Are them too high? Hell no. On average, my colleagues and me generated ~2M$ each in 2025 for our company, while we get payed a fraction of that (grants and bonuses included). If you look at net income per employee we are at around 700k each in…
>There was a surge in demand for SWEs and scarcity brought salaries up. Are them too high? Hell no. On average, my colleagues and me generated ~2M$ each in 2025 for our company, while we get payed a fraction of that (grants and bonuses included). If you look at net income per employee we are at around 700k each in 2025. So by that logic, housing in coastal cities also aren't "overinflated"? After all, like SWEs, they…
This article tries to build upon a lot of half-truths or incorrect facts, like this: > OpenAI is struggling to monetize. They turned to showing ads in ChatGPT, The ads aren’t going into your paid plans (except maybe a highly discounted tier, depending on the market). The ads are a play to offer a free version. Having an ad-supported free tier isn’t new. The discussion about being unprofitable also repeats the reducti…
I've heard "They're losing money" since the 1990s. About Amazon and nearly every other tech company. The strategy is always: * Build something useful * Give it away for free to get people exited * Convince investors that this is going to rule the world * Grow to dominate the world * Enshittify
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It is quite hard to imagine how the demand is saturated now. I think any company that uses a sliver of AI will happily increase their token consumption 100x if it's free.
Are you assuming a brute force "burn tokens until it passes the tests" model, or is there a really sweet approach on the horizon that is impractical at current token costs? I'm asking 'cos while I'm philosophically opposed to the first option, but I'd love to hear about anything that resembles the second.
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But are they actually profitable, or do they employ creative accounting where only parts of overhead expenses are counted against all of inference revenue, similar to what Uber did? OpenAI's numbers show that they definitely are not profitable on inference, and even worse, revenue growth scaled linearly with inference cost from 2024 to 2025, which means they can't outgrow this problem. See https://www.wheresyoured.at…
If they shut down all training today they’d be absolutely printing money for the next couple quarters and then die with a bang once the other lab releases the next frontier to the public.
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I’m not disagreeing with you, but consumer RAM prices are lagging indicators. If commercial RAM prices are dropping then consumers will see those price drops last, especially given the fact that several consumer manufacturers turned to commercial only.
If they see them. Plenty of businesses are still charging pandemic prices for all kinds of goods and simply pocketing the difference. Cars come to mind instantly. Prices exploded in 2020/1, due to legitimate shortages, most of which have been plus or minus resolved, but the prices for new (and used!) cars never came back down.
Also the cost of shipping never came down and lots of cars and/or their components need to cross oceans. Plus we have a new energy crisis...
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Overinflated relative to the wet dreams of the ownership class.
It's not exactly stuff of "wet dreams of the ownership class" to say that of the possible white collar careers, software engineering is pretty hard to beat in terms of salary vs work you need to put in.
Naively speaking, I have so many expectations for the impact of this tech.
I'd expect a noticeable uptick in applications published on Google, Apple and Microsoft app stores. I'd also expect an uptick of games published to Steam. I'd expect an uptick in Github repos and libraries on PyPi.
I'd also expect some impact on the GDP ⸻ a non-negligible part of running a business is communication, planning, ads. Naively, I'd expect that LLMs should be able to both speed some of these things up and lubricate others.
I'd also expect that large corpos like Microsoft and Apple would have more resources to spare on the essential details of their OS like having a functioning taskbar or a predictable, consistent GUI.
I'd expect increased SAT scores or improved PISA results. Maybe even improved mental health, let's go wild.
It's strikes me as a reasonably useful tool, personally.
Yet, where are the goods in the aggregate?