boarush

Part of the problem I believe sits on how chip manufacturers (looking at you Qualcomm) handle device trees that should be part of upstream, but are never done due to differences in tooling/proprietary blobs which are also part of the DT. This increases the effort on the OEMs to keep comptability across kernel versions.

marcan mentioned in a few of his livestreams that the design seems very much intentional, plus a few of the tweets by Xeno Kovah who worked on the bootloader: https://x.com/XenoKovah/status/1339914716454526979.

They don't have true competition, what they lose out on is market share with hyperscalers, since OpenAI would have no plans to share inference hardware with any other company right now. Plus, I don't know how does NVIDIA's investment equation pans out long terms given OpenAI will be investing in more purpose built inference stack for the future.

Dup thread: https://news.ycombinator.com/item?id=48630754

Though did anyone else have issues with Workers in general? Status page indicates no such issues however, our deployments say otherwise. Intermittently we're observing 502s from otherwise perfectly fine outside services.

To be fair though, a lot of publishers also do a one time payment deal with authors as well, after achieving a certain milestone of number of books sold.

Waiting for Tsoding to do another Raylib speedrun

Changing the definition of drop-in definitely has me concerned and makes me not take this any seriously than other projects open-sourced by Cloudflare, particularly the ones focused on more critical parts of their systems – e.g. pingora and ecdysis.

I might be looking at it differently, but aren't decisions over a certain provider of service being made by the management. Incident reports don't ever reach there in my experience.

Azure straight up refuses to show me if there's even an incident even if I can literally not access shit.

But last few months has been quite rough for Cloudflare, and a few outages on their Workers platform that didn't quite make the headlines too. Can't wait for Code Orange to get to production.

While neither am I nor the company I work for directly impacted by this outage, I wonder how long can Cloudflare take these hits and keep apologizing for it. Truly appreciate them being transparent about it, but businesses care more about SLAs and uptime than the incident report.

Not all em dashes are ChatGPT. Good writers use it wherever required.

Reading this really makes me wonder how does Chrome actually optimize for the plethora of devices running v8 (under Chrome). Definitely involves tricky decisions to be taken for great performance.

I believe it is to make sure that the product remains compliant with the data guarantees that Workspace provides. You aren't paying for the latest and the greatest features, you're paying for the support and compliance guarantees your business expects.

You can also reply to incoming emails from what I know, you just cannot initiate any email directly to prevent the obvious abuse. I wonder how they plan to mitigate that apart from keeping the pricing sane.

Invalid JSON and other formatting issues is more towards the model behavior I would say since no model guarantees that level of conformance to the schema. I wouldn't necessarily club it with the downtime of the API.

A core research library for MATLAB I used in a course project used to be on BitBucket, though thankfully didn't have to deal with a lot of collaboration there.

I wonder why they haven't invested a lot more in the inference stack? Is it really that different from Google, OpenAI and other open weight models?

I don't think this is just the occasional 503s, and it is not just Claude Code. Their console is also down.

Anthropic has by far been the most unreliable provider I've ever seen. Daily incidents, and this one seems to have taken down all their services. Can't even login to the Console.

Using Workers is now what Cloudflare recommends by default, with "Static Assets" to host all the static content for your website. Pages, as I understand, is already built on the Workers platform, so it's all just simplifying the DX for Cloudflare's platform and giving more options to choose what rendering strategy you use for your website.

Had me confused for a second too, but I think it is the former that they meant.

K8s has unneeded complexity which is really not required at even decent enough scales, if you've put in enough effort to architect a solution that makes the right calls for your business.

I've been tracking this one: https://github.com/python/cpython/issues/109534, but there are multiple others raised in the cpython repo over on Github. Searching for asyncio or sslcontext shows multiple issues raised over the years with no fix in place.

not just this one, I've been tracking this too

https://github.com/python/cpython/issues/109534

Python version from 3.10 have had a very annoying bug with the SSLContext (something related only to glibc) where there are memory leaks when opening new connections to new hosts and eventually causes any service (dockerized in my case) to crash due to OOM. Can still see that the issues have not been resolved in this release which basically makes it very difficult to deploy any production grade service difficult.

I wonder if matklad has their scheduled blogs after penning them down?

This might be a feature fit for the pro tiers. I would really like it for our QA testers who'd want to include that information but still aren't that technical to know all the places to look for that information.

I think the reason for having the permissions for all sites is for when you want to use the instant replay feature on the off chance and you realise that there were no permissions enabled for the specific domain.

I'd be pretty annoyed if the bug is not reproducible and I lose that chance of generating a bug report.

Users that might customise their system a bit by digging into the settings are usually more inclined to give a detailed report in case they encounter a bug or have a general knowledge of what to look for when requested for some information in my team's experience. Sounds much more like an edge case.

Going through the linked issue, it seems that the fix has already been merged and should be part of the next invidious release.

But it still is a fact that Google is trying to limit access to YouTube through alternatives like yt-dlp and invidious by constantly trying to break stuff.

People have generally resorted to referring GPT-4 Turbo as GPT-4 since it has been in preview for ~4 months and can mostly be used for production loads.

GPT-4 Turbo is priced $10/M Input Tokens and $30/M Output Tokens.