My journey with GPT-4 as a novice programmer has been nothing short of remarkable. I used it to write a game, and despite my limited programming knowledge, I was astonished by the results.
It makes coding suggestions, completes my code, and even identifies bugs, which has been a game-changer for me. It feels like having a co-programmer who anticipates my needs and guides me in the right direction.
When I started using ChatGPT in november of 2022, it was very smart. I used it quite a lot to help me rephrase my emails better, to tidy up my writing, to do some simple math that I'm too lazy to do myself, etc. But recently I noticed that it has become less and less helpful, it does things that I specifically asked it NOT to do, it struggles to rephrase my texts the way I want it to, it makes mistakes in basic math and provides all sorts of incorrect information. Now it annoys me way more than it helps me.
ChatGPT is a powerful, open-source language model AI tool, very fastly response query to users.
Based on our record, ChatGPT seems to be a lot more popular than dwm. While we know about 815 links to ChatGPT, we've tracked only 64 mentions of dwm. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The only one I can think of the dwm window manager (https://dwm.suckless.org/), that used to prominently mention a SLOC limit of 2000. Doesn't seem to be mentioned in the landing page anymore, not sure if it's still in effect. - Source: Hacker News / about 1 month ago
This is sort of the suckless approach. Most (all?) of their projects are customized by editing the source and recompiling. From their window manager, dwm: dwm is customized through editing its source code, which makes it extremely fast and secure - it does not process any input data which isn't known at compile time, except window titles and status text read from the root window's name. You don't have to learn... - Source: Hacker News / 4 months ago
> Their philosophy[1] says nothing of the sort Their philosophy doesn't, but their page for dwm[0] does :D "Because dwm is customized through editing its source code, it's pointless to make binary packages of it. This keeps its userbase small and elitist. No novices asking stupid questions. There are some distributions that provide binary packages though." [0] https://dwm.suckless.org/. - Source: Hacker News / 5 months ago
I was looking for a minimal linux distribution that is light on resources, and I found one called Metis Linux, which is based on Artix. The interesting part of metis is that it wasn't using a desktop environment, but a windows manager called dwm. At the time, metis linux had a minimal bash script installer via chroot. This took longer to setup, but I had a better understanding of what the setup involved rather... - Source: dev.to / 9 months ago
The window manager in this screenshot is DWM in floating mode (https://dwm.suckless.org) with a lot of patches and a compositor (to make DWM support transparency). And the terminal is st with some patches. Both should be compiled from source manually. And both are configured in C. Source: about 1 year ago
By following these steps, developers can train ChatGPT on their own data. This will allow to give personalized, accurate, and domain-specific responses. Keep in mind that this process requires technical skills and can take more time than using no-code platforms. - Source: dev.to / 24 days ago
ChatGPT prompt: Act like a senior software developer mentor. Explain to me in the simplest way possible what javascript Symbols are, making very basic examples that DO NOT use "foo" "bar" words. Make small sentences and ask me often if I am able to understand. Thank you. - Source: dev.to / 24 days ago
AI and LLMs such as ChatGPT are amazing at what they do, but they suffer from the lack of "an opposable thumb", to use an analogy. This implies that as stand alone products, they can't really do much, if anything at all. - Source: dev.to / 29 days ago
Prompt Engineering is the art of instructing an LLM such as ChatGPT to do what you want it to do, using nothing but natural language, logic, and reason. The process is probably easily within reach of 80% of the world's population, while less than 0.3% of the world's population knows how to code. - Source: dev.to / about 1 month ago
"ChatGPT" in this case means the frontends https://chat.openai.com and https://chatgpt.com, not the API. - Source: Hacker News / about 1 month ago
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