Readit NewsI did this (well, a large-r VPS for $120/month) for my Rails-based sports streaming website. I had a significant amount of throughput too, especially at peak (6-10pm ET).
My biggest takeaway was to have my core database tables (user, subscription, etc) backed up every 10 minutes, and the rest every hour, and test their restoration. (When I shut down the site it was 1.2TB.) Having a script to quickly provision a new node—in case I ever needed it—would have something up within 8 minutes from hitting enter.
When I compare this to the startups I’ve consulted for, who choose k8s because it’s what Google uses yet they only push out 1000s of database queries per day with a handful of background jobs and still try to optimize burn, I shake my head.
I’d do it again. Like many of us I don’t have the need for higher-complexity setups. When I did need to scale, I just added more vCPUs and RAM.
Is there somewhere I can read more about your setup/experience with your streaming site? I currently run a (legal :) streaming site but have it hosted on AWS and have been exploring moving everything over to a big server. At this point it just seems like more work to move it than to just pay the cloud tax.
vevoe commented on FFmpeg 8.0 adds Whisper support code.ffmpeg.org/FFmpeg/FF... · Posted by u/rilawa
I solved it by generating English subtitles, then passing those to an LLM in chunks that are ~20 entries in size. Include preceding and following subtitles as context for better translation. Make sure to replace the timestamps with simple integer ids, because LLMs like to mangle those, no matter how hard you prompt.
I could share a python script that is working pretty reliably for me.
I'd love to see that script, do you have a link?
vevoe commented on Context Rot: How increasing input tokens impacts LLM performance research.trychroma.com/co... · Posted by u/kellyhongsn
Claude code looses the ability to distinguish between it's own mistakes and my instructions. Once it gets confused, start over. The longer the sessions, the more it starts to go in loops or just decides that the test was already broken (despite it breaking it in this session) and that it will just ignore it.
I'm sure it's all my poor prompting and context, but it really seems like Claude has lost 30 iq points last few weeks.
No I feel the same way too. I'm on the max plan and I swear it has good days and bad days.
I am not impressed with Next.js or Lee's evangelism (yes, in the religious sense) of their platform. Being forced to develop in Next.js for a major project was the last straw, and convinced me to abandon the Javascript/Typescript/Node.js ecosystem entirely for future web projects (where I have the choice). Dev-fluencers and Next.js evangelists who gish-gallop and provide (non)-responses to serious developer problems with Next.js convinced me that Vercel is building an elaborate cash grab, on the enterprise scale, and securing vendor lock-in for many years to come. Don't tell me that Next.js is easy to deploy in Docker either - it's not, I wrestled with that implementation for months and it was fragile/broken in a way that I suspect a native Vercel-deployment is not.
The current stack I'm using is Django/Python, HTMX, Alpine.js, and TailwindCSS. Yes I know the middle two use Javascript under the hood, there is no way around that for client interactivity. But they do support the HATEOAS principal (https://en.wikipedia.org/wiki/HATEOAS) which has been a breath of fresh air imo. The book "Hypermedia Systems" is also a great way to achieve the mental reset needed to abandon modern web frameworks and go back to things that actually work, in terms of web development.
I'm not saying that Next.js is good or bad but we deploy our Next.js app in a docker container and it's never been an issue. I'm curious what issues you had?
vevoe commented on Cloudflare to introduce pay-per-crawl for AI bots blog.cloudflare.com/intro... · Posted by u/scotchmi_st
It's worse than that, it strongly incentivizes creating agents that spin up blogs, fill them with LLM vomit, and then enable "pay-for-training".
It's basically creating a "get paid to spam the internet with anything" system.
tbf I think that's already been happening for a while now
vevoe commented on Entry-level jobs down by a third since launch of ChatGPT personneltoday.com/hr/fal... · Posted by u/lsharkey602
I think it is possible that the widespread introduction of ChatGPT will cause a brief hiatus on hiring due to the inelasticity of demand. For the sake of argument, imagine that ChatGPT makes your average developer 4x more productive. It will take a while before the expectation becomes that 4x more work is delivered. That 4x more work is scheduled in sprints. That 4x more features are developed. That 4x more projects are sold to clients/users. When the demand eventually catches up (if it exists), the hiring will begin again.
That makes sense to me. There's another post on the front page right now talking about shortening the work week (I haven't read it yet tbf, so I could be wrong about it's content) because of AI. People have been talking about shorter work weeks for a long time now, it just doesn't happen. What does happen is we get more done and the GDP goes even higher.
vevoe commented on Eating Processed Red Meat Linked to Increased Dementia Risk nytimes.com/2024/07/31/we... · Posted by u/signa11
Gift article link
https://www.nytimes.com/2024/07/31/well/eat/ultraprocessed-f...
They key isn't how you say it, the key is that you consistently do it so that people learn that when you say it, you mean it.
As far as how to do it confidently? The same way you say "that is a tree" when you're looking at a tree. You're 100% sure you don't know, just say it. The rest is probably in your head. That's been my experience at least.