381–390 of 600 posts
Codex is HN's darling now because Anthropic lowered rate limits for individuals due to compute constraints. OAI has so few enterprise users they can afford to subsidize compute for this group a lot more than Anthropic. Eventually once they have more users they'll do the same thing as Anthropic, of course. It's all a transparent PR play and it's kind of absurd to see the X/HN crowd fall for it hook, line, and sinker.
We need to force them back into being providers of commodity services and hit this assumption they can mold things in real time on the head.
Codex is HN's darling now because Anthropic lowered rate limits for individuals due to compute constraints. OAI has so few enterprise users they can afford to subsidize compute for this group a lot more than Anthropic. Eventually once they have more users they'll do the same thing as Anthropic, of course. It's all a transparent PR play and it's kind of absurd to see the X/HN crowd fall for it hook, line, and sinker.
Earlier quoted context omitted.
Competition is bad? Who cares - let the big players subsidize and compete between each other. That's what we want. We want strong models at a low price, and we'll hype up whoever is doing it. Simultaneously, we also hype up the open models that are catching up. That are significantly more discounted, that also put pressure on the big players and keep them in check. People aren't falling for PR; people are encouraging…
Interesting to see your observation where I have observed the opposite: posts that share big news about open-weight local models have many upvoted comments arguing local models shouldn’t be taken seriously and promoting the SOTA commercial models as the only viable options for serious developers. Here and on AI tech subreddits (ones that aren’t specifically about local or FOSS) seem to have this dynamic, to the degre…
The TL;DR is that unless you are doing it as a hobby or working in an environment where none of the data privacy options supported by Anthropic/OpenAI (including running on Azure/Bedrock with ZDR) work for you then it's not worth it.
The best open models are around the Sonnet 4.6 level. That's excellent, but the level of tasks you can give to GPT 5.4 or Opus 4.6 is just so much higher it doesn't compare (and Opus 4.7 seems noticeably better in my few hours of testing too).
I have my own benchmarks, but I like this much under-publicized OpenHands page: https://index.openhands.dev/home
It shows for every task they test closed models do the best. The closest and open model gets is Minmax 2.7 on issue resolution where it's ~1% worse than the leaders.
That matches my experience - fine for small problems, but well behind has the task gets bigger.
Earlier quoted context omitted.
Competition is bad? Who cares - let the big players subsidize and compete between each other. That's what we want. We want strong models at a low price, and we'll hype up whoever is doing it. Simultaneously, we also hype up the open models that are catching up. That are significantly more discounted, that also put pressure on the big players and keep them in check. People aren't falling for PR; people are encouraging…
Interesting to see your observation where I have observed the opposite: posts that share big news about open-weight local models have many upvoted comments arguing local models shouldn’t be taken seriously and promoting the SOTA commercial models as the only viable options for serious developers. Here and on AI tech subreddits (ones that aren’t specifically about local or FOSS) seem to have this dynamic, to the degre…
When I argue this, my point is that FOSS shouldn't target the desktop with open weights - it should target H200s. Really big parameter models with big VRAM requirements.
Those can always be distilled down, but you can't really go the other way.
Earlier quoted context omitted.
I agree. As a long time linux user, coding assistants as interface to the OS has been a delight to discover. The cryptic totality of commands, parameters, config files, logs has been simplified into natural language: "Claude, I want to test monokai color scheme on my sway environment" and possibly hours of tweaking done in seconds. My setup has never been so customized, because there is no friction now. I love it and…
Heavily agreed - LLMs are also really good at diagnosing crash logs, and sifting through what would otherwise be inscrutably large core dumps.
Just reading the comments here it's amazing how many people seemingly don't know that Claude Desktop and Cowork basically already does all of this. Codex isn't pioneering these features, it's mostly just catching up.
I don't think Claude has this part yet: > With background computer use, Codex can now use all of the apps on your computer by seeing, clicking, and typing with its own cursor. Multiple agents can work on your Mac in parallel, without interfering with your own work in other apps.
Codex is HN's darling now because Anthropic lowered rate limits for individuals due to compute constraints. OAI has so few enterprise users they can afford to subsidize compute for this group a lot more than Anthropic. Eventually once they have more users they'll do the same thing as Anthropic, of course. It's all a transparent PR play and it's kind of absurd to see the X/HN crowd fall for it hook, line, and sinker.
Codex is HN's darling now because Anthropic lowered rate limits for individuals due to compute constraints. OAI has so few enterprise users they can afford to subsidize compute for this group a lot more than Anthropic. Eventually once they have more users they'll do the same thing as Anthropic, of course. It's all a transparent PR play and it's kind of absurd to see the X/HN crowd fall for it hook, line, and sinker.