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.

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.

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.