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Re:Mercury: Ultra-Fast Language Models Based on Diffusion by Alifatisk on Tuesday July 08, 2025 @10:09AM (#44500159)
It was mostly coding related tasks we had
Re:Mercury: Ultra-Fast Language Models Based on Diffusion by kadushka on Tuesday July 08, 2025 @01:38PM (#44502234)
gpt-3 could not do any coding tasks.
Re:Mercury: Ultra-Fast Language Models Based on Diffusion by Alifatisk on Tuesday July 08, 2025 @06:29PM (#44504616)
What makes you say so?
Re:Mercury: Ultra-Fast Language Models Based on Diffusion by kadushka on Tuesday July 08, 2025 @10:08PM (#44505729)
Because gpt-3 was not trained to do coding tasks. It could do a simple autocomplete. Perhaps you are confusing it with gpt-3.5?
Re:Mercury: Ultra-Fast Language Models Based on Diffusion by Alifatisk on Wednesday July 09, 2025 @03:25AM (#44507176)
I vividly remember it being in the same period as OpenAis Codex
Re:Mercury: Ultra-Fast Language Models Based on Diffusion by kadushka on Wednesday July 09, 2025 @09:03PM (#44516246)
Codex paper confirms that GPT-3 could not do any coding tasks. It's right there in the abstract: https://arxiv.org/abs/2107.03374
Re:Mercury: Ultra-Fast Language Models Based on Diffusion by Alifatisk on Thursday July 10, 2025 @08:03AM (#44520029)
Might be GPT-3.5 then, but I am certain this was before the GPT-4 era. But that's besides the point, prompting it correctly has a huge effect on the outcome and its ability to suffice your need. So saying o3 being very unusable is hard to believe in my experience
Re:Mercury: Ultra-Fast Language Models Based on Diffusion by kadushka on Thursday July 10, 2025 @10:25AM (#44521478)
o3 is definitely usable, as I said, it solved about half of the coding tasks I tried. My problem with your original comment was "bottlenecks in genAI is not the knowledge or accuracy". Knowledge and accuracy are absolutely the main bottlenecks for LLMs today. Hallucination rate for o3 and o4-mini models have doubled (compared to o1), and OpenAI does not understand why. If my AI model is not accurate, and if it makes up fake knowledge I don't care how fast it is - I will have to spend more time double checking its output than the time I saved by getting that output faster.