Attributed mentions
2059
Across all collected Hacker News results
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A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
Attributed mentions
2059
Across all collected Hacker News results
Companies represented
12
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Showing 1661–1680 of 2059 matching discussions
These people looked at OpenAI and went "Hey, I can run corruption like that too!"
If you optimize program A and manage to wring out a 1% improvement, and I optimize program B and improve performance by 20%, you can see the problem with trying to infer anything from those two numbers. Edit: searching for the story now, further bolstering the point is that was 1% in training time [1], and the openAI claim is 20% in end to end inference cost . This is a bad comparison. [1] https://deepmind.google/blog/alphaevolve-a-gemini-powered-co...
Friendly reminder that GPT-5.6 in Codex cannot spawn Luna subagents, only Terra [1] To fix this you currently need to make your own copy of the bundled model catalog [2] and opt Luna into MultiAgent V2. 1. https://github.com/openai/codex/issues/32031 2. https://github.com/openai/codex/issues/32031#issuecomment-51...
> Hugging Face is being used to make nonconsensual deepfakes, and the popular open-source AI model repository is doing very little to prevent it. That’s according to a new report published by the European nonprofit AI Forensics, which found that seven out of the top nine image editing models hosted by Hugging Face readily complied with requests to undress women using simple prompts. A, yes, because there wasn't enough censorship in the world. Now we need to invent stupid "think of the children" reasons for locking general purpose tools like open models. Of course the whole point is moot, people wanting to do that, can just keep using whatever open model outside of hugging face, even exchange models privately with other pervs. Once they're out there, they're out there. So, this is just …
The new thing is trying to take the organization from a non-profit to a corporation. Mainly so the executives can increase their already large compensation apparently. Interesting parallels to OpenAI.
If Luna is so good and cheap, I'm wondering why ChatGPT Free users still only have access to GPT 5.5 Instant. The API pricing for chat-latest is the same as Sol(!),[1] while Luna is 25× cheaper [2]. Even assuming highly inflated API pricing for chat-latest, Luna not being the daily driver on Free and Go plans feels off. Perhaps users prefer instant responses over thinking models so much so that using a more expensive and less performant non-thinking model is worthwhile. [1] https://developers.openai.com/api/docs/models/chat-latest [2] https://developers.openai.com/api/docs/models/gpt-5.6-luna
Here is an example of a guide from OpenAI on how you should prompt 5.6 differently than their previous models. https://developers.openai.com/api/docs/guides/latest-model#p...
Google wins on infrastructure and creativity (NotebookLM, etc) but entirely lacks product coherence. The ecosystem is a mess, just like Microsoft's offering, and I don't think this is a coincidence but rather a symptom of the type of company in which these two companies have evolved. Furthermore, Gemini is just all around a less trustworthy and mature model, for many reasons. Very smart but lacking the precision and holistically exhibited in the more recent models from OpenAI and Anthropic. On the flip side, Google's work on Gemma is unmatched.
Google wins on infrastructure and creativity (NotebookLM, etc) but entirely lacks product coherence. The ecosystem is a mess, just like Microsoft's offering, and I don't think this is a coincidence but rather a symptom of the type of company in which these two companies have evolved. Furthermore, Gemini is just all around a less trustworthy and mature model, for many reasons. Very smart but lacking the precision and holistically exhibited in the more recent models from OpenAI and Anthropic. On the flip side, Google's work on Gemma is unmatched.
Google wins on infrastructure and creativity (NotebookLM, etc) but entirely lacks product coherence. The ecosystem is a mess, just like Microsoft's offering, and I don't think this is a coincidence but rather a symptom of the type of company in which these two companies have evolved. Furthermore, Gemini is just all around a less trustworthy and mature model, for many reasons. Very smart but lacking the precision and holistically exhibited in the more recent models from OpenAI and Anthropic. On the flip side, Google's work on Gemma is unmatched.
Slower grow, or even shrink in usage? Right now, the promise of a future "everyone will use our models and pay whatever we ask" is what keeps $$ flowing towards OpenAI.
Absolutely. Although DeepSeek started announcing "Peak valley" pricing which started making me nervous. I have spent $50 usd in July on deepseek and for that much spend I got SO MUCH mileage. I feel perfectly content in using pay as you go pricing with deepseek. On the other hand, although Anthropic's models used to be my bread and butter for personal work, they are simply too expensive to reach for these days.
I can't really understand what this dude says but it sounds like he called Open AI and Anthropic a bunch of commies and said they're going to war for Enterprise AI
These are free due to some different type of reasons like Nvidida sponsoring free tokens or the model companies. My company checks the models and pays for Opus through AWS. You still send the WHOLE context of whatever you want to do to a random endpoint on the internet. If you want to write a good email, you give that context your email address, names, the reason for it etc. Big companies don't randomly use some random api endpoint to do so. Anthropics quarerly revenue is still growing very fast. I don't think we have seen even the real potenzial of it yet at all. Not only are still a lot of countries missing which do not even use anthropic or any other frontier model yet but also all the agentic based solutions enterprise companies are currently building on mass (at least in my industry)
> 2. OpenAI’s harness and network security controls were unintentionally so bad that it should reflect more poorly on them as a company more than it should reflect positively on their latest model. Why un intentionally? Move fast and break things implies intentionally bad controls. Can't get distracted from profit by such menial labor. Also remember, these are the same people we're supposed to trust to deliver the guardrails.
Isn't OpenAI burning billions and have billions more spending commitments? If they managed to downsize so much the cost they should have kept the price the same and become profitable, really weird move, unsure what led to this.
This doesn’t quite count as “API”, but OpenAI’s roll out of OAuth device code authentication was poor, to say the least.
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