byzantinegene

so your company runs on a vibe-coded saas app, that sure is a confidence booster for your would-be customers.

that is not production ready

Unfortunately, the economics of what you suggest do not justify the trillion dollar valuations of OpenAI and Anthropic.

unlikely scenario as the main mandate of the federal reserve is to keep inflation in check. inflation reaching such levels would also cause interest rates to rise astronomically, and this would make the debt harder to service

gpt 5.5 regularly wastes tokens on wrong commands, requires lots of handholding. I highly doubt there's substantial improvement

yes, this will give the Chinese a good opportunity to catch up.

come on now, we all know who the biggest culprit is

why not compare the prices a couple years ago instead?

are consumers really tolerating current prices?

it's destroying consumption before destroying jobs, which is somehow even worse than initially imagined

the language the original wow code is written it doesn't matter because translating programming languages is trivial for a llm.

and.. how is codex any better?

you understimate how large the international market is, for example, half of google's revenue is generated from international markets.

some people will, but they will have to bear the costs being the only users of llms sustained through billions of dollars of funding.

not if they run out of investments to train their cutting edge models. Anthropic and OpenAI IPOs are going to be a massive flop if they aren't able to sell their best models to the world.

10x developers were not slightly better than their peers, they were vastly superior and faster. OTOH, the lead of frontier llms is diminishing as training is getting diminishing returns.

Also, on that note. Not every company needs 10x developers, just as not every task needs frontier llms. Ultimately, operating costs will be the largest contributing factor.

most ai use and spend is still by humans. laying off humans would (ironically) reduce ai spend and use.

read the article. it stated clearly why vibe-coded apps do not work. a frying pan does its intended purpose.

i don't think training is necessarily the right solution for such attacks. a proper harness would be more effective

technically, he didn't do that. your ai agent decided to follow his instructions when they didn't have to.

you're not a corporation, corporations are price-sensitive and the decision-makers are typically not the end-users.

it's really not much compared to the amount they are spending on training. 100 developers at $200 per month is just $20000

if it doesn’t let you do anything, the assumption might be that it could do everything, more hype generated

it's also worth keeping in mind that alot of the 'improvements' are actually advancements in harnesses and tools.

alot of investor money is hinging on models performing better every release.

yes, which is why the revenue growth story is not looking so great for Anthropic/OpenAI, when open-source alternatives are not far behind with much lower costs.

the other day there was a hackernews comment about ai-generated music, and this poster claimed that a friend generated ai music and got as much enjoyment as actual ones composed by musicians. I suppose this falls under the same camp..

8B models would be consider obsolete in the world of 2T models, at least if we're talking about the competitiveness of OpenAI/Anthropic. The only reason why they are valued so highly is their supposed dominance at the top end.

except this isn't a solution. taking away sources just creates another problem down the road. there's no information to crawl from if no one is building websites to crawl from.

very good point, but I think the message has been complicated long before AI slop, from the rise of tablets and social media platforms.