The innovation is largely happening within the megacorps anyway, this is solely intended to make sure the innovation cannot move somewhere else.

Still, one of those corporations wants to capture the market and has monopolistic attitude. Meta clearly chose the other direction, when publishing their models and allowing us all to participate in.

Mistral and Falcon is not from megacorps and not even US.and many other opensource chinese models . And both are based models that means they are totally organic outside of US.

That’s what they told us. Turns out Google stopped innovating a long time ago. They could say stuff like this when Bard wasn’t out but now we have Mistral and friends to compare to Llama.

Now it turns out they were just bullshitting at Google.

> Now it turns out they were just bullshitting at Google.

I don't think Google was bullshitting when they wrote, documented and released Tensorflow, BERT and flan-t5 to the public. Their failure to beat OpenAI in a money-pissing competition really doesn't feel like it reflects on their capability (or intentions) as a company. It certainly doesn't feel like they were "bullshitting" anyone.

Everyone told us they had secret tech that they were keeping inside. But then Bard came out and it was like GPT-3. I don’t know man. The proof of the pudding is in the eating.

> The innovation is largely happening within the megacorps anyway

That was the part I was replying to. Whichever megacorp this is, it’s not Google.

Hey, feel free to draw your own conclusions. AI quality is technically a subjective topic. For what it's worth though, Google's open models have benched quite competitively with GPT-3 for multiple years now: https://blog.research.google/2021/10/introducing-flan-more-g...

The flan quantizations are also still pretty close to SOTA for text transformers. Their quality-to-size ratio is much better than a 7b Llama finetune, and it appears to be what Apple based their new autocorrect off of.