Supported is different from doing it well though. You do notice the performance hit even on TVs that playback YouTube videos on AV1.
Even on 1080p videos running on AV1 on 1x, the TV system bogs down and any kind of interaction has a variable 1-3s lag. On some TVs if you do 1.25x the TV automatically "downgrades" the resolution to 480p to avoid dropping frames.
I wish there was an option to still use VP9 / H.264 on those systems (even limited to 1080p).
Maybe I'm getting too skeptical. I have a feeling increasingly many of the comments on HN and the GitHub issue are just bots ragebaiting other people (incl. the maintainer)...
I'm not sure how to interpret your comment. It could be
- a response to my comment saying that I am "illiterate" and cannot differentiate LLM output vs actual human comments (in that case I'm not sure what you're adding to the discussion here beyond a personal attack)
- a general comment saying it's getting harder for people in a position similar to us (i.e. tech / tech-adjacent who interact a lot with others who write with LLM assistance or via LLMs) to differentiate human/AI output.
I'll assume good faith and you mean the second. In that case maybe you can explain the "fundamental problem" you're referring to?
It was a general comment. Sorry for being unclear. I'm very bothered by hearing this exact thing a lot lately.
It's something I'm racking my brains over, how some people can tell certain things and intentions apart and others cannot - and how that set is different for everyone, and how this "flaw" is currently causing a lot of trouble because we, collectively, are not very well practiced in detecting this kind of thing.
I don't think the internet is dead just yet, because I don't think anybody truly has the concrete intention to destroy all knowledge.
I'm generally an optimistic person and very trusting of others. I'd say I'm also a pretty good reader of intentions / listener based on people who are my friends / worked with me (anecdotal of course, take it how you will).
However, some of the comments in the GitHub issue... I can only assume the worst of intentions to ruin any/all motivation of the maintainer. Given we've seen social engineering and other attacks on other open source projects with increasing frequency, I can only assume that there are ulterior motives in such comments.
I cannot otherwise see how those comments would be constructive towards the maintainer or the other participants in the issue.
One thing that OpenRouter makes easy is the ability to manage API keys (mint new ones, expiry/limits per key, etc.) that I wish that other providers would make possible/easier.
So many use cases, like sharing AI/assisted features externally, with the ability to use those features but also limit the fallout if its shared / used for other purposes, without jumping through more fallible hoops like safeguards etc.
Also curious. With tool calls reading/searching different files, possible compacting reading a large codebase / long threads, I can't imagine how you hit 99% cache rate.
> Unfortunately it will all probably sort of work, But best not to dwell too much on how the sausage is made, it is pretty unpleasant.
Interestingly, most long-running codebases are like that, no?
It's just that producing (incl. reviewing/testing and all those, even AI-assisted) that amount of code in a significantly shorter period of time highlights this discrepancy much more to us.
Let's go one step further and think about why OSS maintainers generally approach security vulnerabilities the way they do (even pre-AI), and why some people has a significant negative reaction to this type of bug/security/issue reporting approach.
What happens if they treat every single report with the same effort and seriousness regardless of how it is reported? What happens if they dedicate too much effort in wild goose hunts while disregarding the more mundane/concrete security and maintenance work? How would an attacker take advantage of this process?
If you work in software, maybe you've encountered this yourself, in orgs where they don't have good processes around reporting bugs/issues. You essentially get DoSed by noise. You get tons of issues from customers (or internal stakeholders representing them), some barely describing stuff like "hey X can access Y, don't think they should" without any context (or even refusing to provide further information even after you ask), forcing you/CS to prune down all possible paths based on audit logs and their permission settings and so on.
Customers (in this case I'd say OSS users are customers too) can say "yeah this is the responsibility of the maintainers/vendors, why should I even care to report things a certain way, be glad I even told you at all" but IME this social posture is terrible for both parties. Even in commercial relationships, the best customers I've had were ones that reported issues that were concrete and reproducible. The chances I can fix it almost immediately goes up in orders of magnitude. The customer gets what they want and my job is simpler.
Even the core claim of the article, "this is a systemic issue", isn't fixed by a carrot disclosure. They don't imply an organizational/structural issue, merely a legacy one (inheriting stuff from gitea/gogs). What do you gain more by putting social-political pressure on an OSS project, if it's not a social-political problem?
The post reads more like an emotional response (frustration) rather than a productive one.
I would be very curious which programmers you have in mind when comparing to llms. Like the median programmer, or like the top 10%.
I feel like we've passed the point where an average-effort Claude Code / Cursor / Codex initialized (like basic docs, skills) project would produce a better product (not just code) than if you hired a median programmer to work on that project.
I think it doesn't need to be a large X% increase, just needs to hit some critical infra threshold where various services start failing and cascade. Weakest link and everything.
Even on 1080p videos running on AV1 on 1x, the TV system bogs down and any kind of interaction has a variable 1-3s lag. On some TVs if you do 1.25x the TV automatically "downgrades" the resolution to 480p to avoid dropping frames.
I wish there was an option to still use VP9 / H.264 on those systems (even limited to 1080p).
reply