You're suggesting that a language with concurrency is simpler/easier than a language that does not have concurrency.
673 karma · joined December 5, 2017
You're suggesting that a language with concurrency is simpler/easier than a language that does not have concurrency.
https://blog.andymasley.com/p/data-centers-heat-exhaust-is-n...
> The one remaining question: why the clean step change?
In the middle of this piece, he runs into a critical flaw in his reasoning and just shrugs it off.
What's your plan?
I think it's just important context to keep in mind that these sorts of takes are very typical to top https://bearblog.dev/discover/ in the same way that certain types of posts are designed to rank well here. I considered migrating my blog there earlier this year and ended up deciding that, while I loved the product, the community was not healthy.
[1] https://forkingmad.blog/ai-summary-blog-post/
[2] https://blog.spu.io/you-dont-want-to-make-things-you-want-to...
[3] https://blog.happyfellow.dev/simulacrum-of-knowledge-work/
Performance is poor and there are a million other reasons to beat up on GH. This is not one of them.
AI is the future, so we need cursors of the future that simulate the frustrating lag and imprecision of LLMS. Dots chase other little dots around and do inscrutable little animations.
Actual answer: You need javascript to see their dumb custom cursor.
I have tasks that used to take ~3-5min with Sonnet 4.6. With OpenRouter Kimi, the same task takes 10+ min. It's also just obviously slower in opencode sessions. The results are good, and I love the lower cost, but the speed can be frustrating.
Any specific examples?
Physical comment cards you put into a box are often for this purpose.
This was the big one I remember:
https://layoffs.fyi/2020/05/18/uber-lays-off-3000-more-emplo...
I did also migrate an app from Claude SDK to Pydantic AI to get off claude API pricing. https://pydantic.dev/docs/ai/overview/
> "The electronic components in AI hyperscalers are characterized by extremely high-power densities, often reaching magnitudes on the order of 107 W/m^2
That's an actual passage from the paper. Masley shows that AI, data centers, and computation writ large have nothing to do with the effects measured. All they discovered was that parking lots and roofs were hot. None of your priors, or mine, or any of the authors, matter here. If Masley is correct, the paper is junk science.
Anthropic has been, relatively speaking, the most responsible of the frontier labs since its founding. There has never been a point at which OpenAI took a more measured and reasonable approach while Anthropic proceeded dangerously.
These are relative terms, but you'd have to not be paying attention to find this plausible.
I guess if you just prefer wearing horse blinders?
I built KeePass Tusk back in 2018, for example. This would kill the project and abandon 30K users without a rewrite of the JS engine (there are several now!)
I agree with you that KDBX sucks, but at this point a keepass based on SQLite would be keepass in name only, a new password manager to migrate to.
Took fully 10 minutes to install from homebrew.
I do not believe in this company.