Smarter to realize how the world actually works. Smart enough to reason through the “why,” solve problems, and stick with them instead of just letting them go. But thinking too much can also make it easy to overthink.
I am considered smart and yes I am unhappy from very young age. Mostly due to my family situation too but still: I don't see many kids realized unfair the world is at 6.
I cannot think of any that so concentrated. Best place to me is r/localllama on reddit. Unsloth website and twitter posts is a good place too (usually in localllama too).
What is important or right today might not be tomorrow. The problem that you think today did not exist at the moment of decision. Even if you turn back time, you would likely do the same (unless with today knowledge). Why resent?
Yes, agree. At first I still use pyenv, or mise to manage python version, now that uv does that, uv is the only tool I need for everything in Python env.
Quite sad to see devs nowadays has lost abilities to self-host. I know it can be overwhelming with Linux, networking, db, backup, hardware load.... However, it's not rocket science!
I heard this opinion a lot recently. Codex is getting better, and Claude is getting worse so it's must happen sooner or later. Well, it's competition so waiting for Claude to catch up. The web Claude Code is good, but they really need to fix their quota. It's unusable. I would choose a worse model (maybe at 90%), but has better quota and usable. Not to mention GPT-5 and GPT-5-codex seems catch up or even better now.
Just surprised, as I thought building GUI app on Windows must be easy right, as must be libs/frameworks already available to support that? It's just not.
LLMs like GPT are heavy and costly (and BERT are LLMs too, params can up to like 1.5B). For niche problems like classification on a small domain, BERT like models are much better, cheaper. You don't need all knowledge gen AI LLM has. I have seen many companies using DeBERTa or RoBERTa for text classification, not using GPT/LLaMA.
I felt weird reading the titles too, because maybe 2-3 years ago I have downloaded with `curl`, so why this?
And also, I am pretty sure `wget` can do it and better too.
Used Superset back in 2016 and 2020; both time chose Metabase for our clients' BI dashboard and Superset for our internal dashboard. Superset is nice, easy to modify and extend but not user friendly as Redash or Metabase. But after the author launched Preset, it seems to have improved much with the company effort. It looks like to me the best way for OSS to advance is to have a company dedicated to improve it.
Maybe it got better but when I was using RN, it felt fine at the first 3 months; then we found out that it is a hell to work with JS and React Native dependency. To the point we needed to forked multiple project to make it worked. And in the end, we still need a considerable native code for our app. It might just be better to start from scratch with native iOS/Android.