ChatGPT - If Stack Overflow and Reddit had a child

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Total monthly number of StackOverflow questions over time


Screenshot 2026-01-03 at 19-48-10 - Stack Exchange Data Explorer.png


 
 
Just yesterday I was asking it to change the code for some file in regards to yt-dlp, and failed hard to do anything with it; for 2 interactions it was 100% sure that a simple ULR of a video id on YouTube had an ampersand in it (it didn't).
 
The Mass Shooter Ron Soye said:
Wccftech: The “Famous” Claude Code Has Managed to Port NVIDIA’s CUDA Backend to ROCm in Just 30 Minutes, and Folks Are Calling It the End of the CUDA Moat (archive)

View attachment 8459264View attachment 8459269

Coding Artilect kicks Jensen in the balls (probably not).

The weird looking jeet tweeting about it is the "Corporate VP of AI Software" at AMD:

It's not clear who has called Claude Code "famous".
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Found it: https://github.com/LeelaChessZero/lc0/pull/2375
 
Vibe coding is the future for retards like myself. Knowing next to nothing about JS, I got copilot to write and debug me a filter for content on a website that won't allow it, with blacklisting for user, key words, combinations of thereof, with JSON import/export function, warned me of data sanitization (not necessarily applicable since it's just for myself), and even learned how I'd like code snippets to be presented in conversation for easier pasting. I can't even imagine how many jeets it would take to do it.
 
partner's work had an ai workshop and they were told to use it because it makes coding very efficient. one of the software dev teams' lead even said that they don't write code at all anymore, just double check what ai has spit out
 
Chocola said:
partner's work had an ai workshop and they were told to use it because it makes coding very efficient. one of the software dev teams' lead even said that they don't write code at all anymore, just double check what ai has spit out
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This is a good use for it. If people remember it as a tool like a calculator, instead of outsourcing their thoughts, ideas, creativity and judgment to it, we might get back to innovating, instead of this AI good / AI bad retard war.
 
Ars Technica: OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips (archive)
On Thursday, OpenAI released its first production AI model to run on non-Nvidia hardware, deploying the new GPT-5.3-Codex-Spark coding model on chips from Cerebras. The model delivers code at more than 1,000 tokens (chunks of data) per second, which is reported to be roughly 15 times faster than its predecessor. To compare, Anthropic’s Claude Opus 4.6 in its new premium-priced fast mode reaches about 2.5 times its standard speed of 68.2 tokens per second, although it is a larger and more capable model than Spark.
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Cerebras makes the "Wafer Scale Engine", which are single chips that use an entire silicon wafer.
 
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