201–210 of 436 posts
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There's a secret third option: learn. At one point, all of us were "nontechnical", but we learned. The trick is to never stop.
Is it? Learning is one thing. But owning a large codebase, you see for the first time, is a completely different level.
I know a lot of level-headed engineers here may not side with me, but I say let the companies who abandoned their people at the drop of a hat, with CEOs who waved their flag around on social media, proudly declaring how they'd now run their companies with 75% fewer employees wither and die. If I had been let go, there's no way I'd go back to a company like that, and there should be a black list of CEOs who acted this…
Someone should keep track of a public database of CEOs who cut workforce while making huge profits. Name, context, situation and all.
The article fails to mention DeepSeek, Alibaba, Qwen, Xiaomi, MiMo, z.ai, or GLM. It's hard to take such an article seriously that doesn't do this. (Our monthly total spend is around $180 with a team of 6, about half technical; our biggest line items are for American models or subscriptions which we probably will be planning to get rid of.) And then remarks like this: Anthropic, OpenAI and Microsoft have all now tran…
They're referring to Enterprise customers, though should have been clear about it. Enterprise plans on Claude for example no longer include any baseline tokens. It's 100% usage based pricing.
Lol I feel like no one has any attention span here. Tech shit is expensive in the beginning when it's new. It gets cheaper with time. This is a tech forum, don't we know this? Of course people overreact in both directions on both sides of the issue. It's a very fast technology, wait for things to settle before making grand declarations.
> Lol I feel like no one has any attention span here. Tech shit is expensive in the beginning when it's new. It gets cheaper with time. The funniest comment here. Have you seen the prices of the technical shit for the past two years? Dang, GPUs are not getting any cheaper, but more expensive with each year.
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Someone should keep track of a public database of CEOs who cut workforce while making huge profits. Name, context, situation and all.
That's basically what you'll see if you open a newspaper to the stock page. That's the idea behind business. It's why you have what you have.
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How are Anthropic and OpenAI going to compete on price when they're both already deeply unprofitable?
They may not be able to! It's pretty widely acknowledged, for example, that if there's some surprising plateau hiding around the corner they're both going to fail. But that could mean that they're over charging for AI usage to get research money and sustainable rates are lower rather than higher.
I don't have a crystal ball, but based on similar historical scenarios, I think that one or two of these companies will win--probably because of some unique application, delivery or trade secret that will drive 80% of their revenue. Consider Google, Apple, Amazon, etc. It's still early days...
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Then what are the real costs?
Wrote this a while back. https://martinalderson.com/posts/no-it-doesnt-cost-anthropic... OpenRouter is the best guide to real costs.
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> The US govt is going to ban foreign models The people have a right to make and use whatever models they want, protected by the constitution. At a minimum, the models are described in research papers that are unquestionably protected speech. Skilled devs turn those into programs, also protected speech.
The US government isn’t supposed to be allowed to constrain speech, but they do have the power to constrain commerce, and they can ban the sale of AI services and AI-capable hardware if they choose.
> but they do have the power to constrain commerce
I don't have a crystal ball, but based on similar historical scenarios, I think that one or two of these companies will win--probably because of some unique application, delivery or trade secret that will drive 80% of their revenue. Consider Google, Apple, Amazon, etc. It's still early days...
The US govt is going to ban foreign models and foreign providers, and frontier labs are still cooked, because US companies will RLwash Chinese models to try and get in on the captive market. The frontier labs have already lost the war for coding, their next play is custom models for specific domains... Anthropic Galen for biomedical research, Anthropic Locke for legal analysis, etc, and you won't see _ANY_ intermedia…
This is a delusional take. Sorry, but anyone claiming this hasn't used Fable and compared it to the current best open source models. I see a lot of hype posting about GLM5.2. I see absolutely ZERO people using it in production compared to GPT 5.5 or Opus 4.8.