If you're referring to the GPT-3 from 2020, modern open source models five years later are a) better at benchmarks b) much smaller yet still better at said benchmarks c) much, much cheaper/faster due to architectural improvements.
The real hard thing for OpenAI to do is to release an open-weights model that's better/more differentiated than Gemma 3 (at the small scale) or DeepSeek R1 (at the large scale)
But if OpenAI was Open, they'd open-source those old obsolete models. You're right that no one really wants it, and it has little to no commercial value at this point, but that's all the more reason they should just put it out there and actually live up to their name.
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If you're referring to the GPT-3 from 2020, modern open source models five years later are a) better at benchmarks b) much smaller yet still better at said benchmarks c) much, much cheaper/faster due to architectural improvements.
The real hard thing for OpenAI to do is to release an open-weights model that's better/more differentiated than Gemma 3 (at the small scale) or DeepSeek R1 (at the large scale)
But if OpenAI was Open, they'd open-source those old obsolete models. You're right that no one really wants it, and it has little to no commercial value at this point, but that's all the more reason they should just put it out there and actually live up to their name.