This sounds like a take that you'd probably only find on HN though. It seems dubious that regular Apple users see any issues with the software stack or with Siri, certainly not to the point that it'd be a branding problem for Apple.
Next time you're speaking to a close non-techie friend or family member feel free to ask them how often/whether they ever use Siri, and then ask them why not, and you'll realise that no, this isn't some HN-specific peculiarity.
You are free to use AI to write Zig code just not use AI to write code for Zig. In fact, many people already do build software with zig written by AI. Check out rockorager's github.
Schools like MIT pay PhD students barely above or sometimes below the poverty level of that particular state as monthly stipend. Yeah, research funding got slashed but if they had the will they could have come up with the money for that 20%.
My spouse was a PhD student at MIT, graduated in 2022. He was getting paid $58k a year when he left. Not an extravagant living in the Boston area, but not bad. On top of that is amazing benefits.
I'm sure it varies by department? Well I'm not sure, I assume...
OpenAI is very good in terms of not having as much outages as Anthropic, but almost all products except Codex and the pro model is unimpressive, anthropic has the opposite situation.
for the longest time, anthropic with claude+code was the goat and everything else was mid at best, sounds fmailiar? right now codex is just a pleasure to work with while anthropic is dropping balls left and right, hopefully the planned IPO makes a bit of fire under their asses to get their vibecoded messes sorted and the core experience competitive again. even Opus 17 won't fix this when it gets nerfed or straight up isn't reliable or too expensive for more than 3 prompts a week.
As much as I prefer Claude, I cannot for an instant believe that OpenAI is receiving less traffic. Maybe they are receiving more traffic that is easier to shift to worst models like the ChatGPT interface which is probably a huge percentage of OpenAI usage. I'm genuinely curious how much load for both OpenAI and Anthropic is split between their chat models and their agent harnesses.
its not anti-sematic ,just don't think all jews are like this Bec. of a few bad people ,there are bad people in all countries and nations you don't make all the people in those countries bad Bec. of the individuals
There's no way I am using such an important piece of life as an IDE from Google just because I know they are going to kill it within 3 years, if it survives that much. Probably will die with the Windsurf guy jumping ship again.
Thanks! I write about this briefly in the blog post, but the more detailed answer is there's no need: Zig's grammar is simple/explicit/powerful enough that they pick it up themselves in a weekend. Learning Zig is just not something we need to talk about with new hires, and we hire systems programmers from all backgrounds.
To be clear, we do invest in months of onboarding in terms of understanding the TigerBeetle code base. For example, matklad has recorded nearly a hundred hours' worth of IronBeetle episodes [0].
But I just noticed at one point that people were joining our team and never having any trouble with Zig. The question was just never being asked. Essential simplicity is a great benefit!
I personally learned Zig by reading https://ziglang.org/documentation/master/ and stdlib source code once I joined TigerBeetle. enums.zig and meta.zig are good places to learn, in addition to usual suspects like array_list.zig.
(though, to be fair, my Rust experience was a great help for learning Zig, just as my C++ knowledge was instrumental in grokking Rust)
Still use pinboard which seems more than enough for me. But I would happily pay for a pinboard that has better search and more responsive customer service.
I still haven't got access to GPT-5 (plus user in US), and I am not really super looking forward to it given I would lose access to o3. o3 is a great reasoning and planning model (better than Claude Opus in planning IMO and cheaper) that I use in the UI as well as through API. I don't think OpenAI should force users to an advanced model if there is not a noticeable difference in capability. But I guess it saves them money? Someone posted on X how giving access to only GPT-5 and GPT-5 thinking reduces a plus user's overall weekly request rate.
