This (and other open-source AI models), not 'ChatGPT', 'DALLE-2', etc is what will change the AI landscape for everyone, permanently forever.
https://github.com/laion-ai/open-assistant being built in the open already. you can contribute too.
please also notice that the article you linked is about the text classifier of the frontend and not the LLM itself
but hey, those are the same people who made the dataset (laion5b) for stable diffusion. I have hope.
From the graph (above) linked by the top comment in your [2], I'm wondering whether this demonstrates more anti-conservative bias than liberal bias, or whether the alternative meanings of conventionally conservative versus conventionally liberal words dictate the frequency of a flag.
For instance, "Republican" means a variety of things around the world, but "Democrat" is far more likely to indicate the US Democrat party (which is frequently misstated as the "Democratic party"), or a national Democrat party in general. People would tend to write "I'm a democrat" to assign their membership to the party, whereas they'd say "I'm democratic" to assign their leanings toward the system. But "I'm a republican" means both.
Where are you getting this? The proper term is indeed "Democratic party", and this is almost universal outside of the conservative bubble. You might personally think it's not small-d democratic, but that doesn't make "Democrat party" correct.
GPT3/4 is simply too expensive for consumer GPUs, any open sourced versions will have to run on A100s in the cloud, so by nature centralized. Granted, having multiple providers also counts as removing the moat.
But BLOOM for example (An attempt at replicating GPT3), no one actually uses. Because its simply too expensive for inferior performance to GPT3
DALLE2 was disrupted, because
1. OpenAI at the time was dumb enough to put a waitlist on something that costed money. They didn't make the same mistake with ChatGPT.
2. Stable Diffusion was not only open sourced, but heavily heavily optimized in parameter count compared to alternative models, making it viable on consumer GPUs.
We will have a ton of bullshit at scale. And the web will be done for.
Yes, that's the only way to deal with it. Humans alone can't cope.
Which open source alternatives to GPT-3 have you seen that most impressed you?
I've not yet found any that are remotely as useful as GPT-3, at least for the kinds of things I want to use them for (generating SQL queries from human text, summarizing text, that kind of thing)