adroitboss

Wait, I don't get it. Is the model not open? If not, why are they comparing it to Open Weight models instead of the state of the art?

I think this is because the approach isn't that different the mentality was. Encoder only classification isn't new. General encoder only classification isn't new. Gliner2 was something similar for parsing. But what they did is provide a new way to look at a sub-class of problems. They opened a lot of people's eyes, including my own, to the demand for applications in this subsection of the market.

But once you have the mental shift, everything else has been done before. So it's not super hard to build something similar for your own use case.

Is this clear? The model has a waitlist and isn't publicly available. How can you claim it's proficient at general tasks?

I'll tell you this. Output isn't too cheap to meter, there is no decoder.

I am positive I know exactly how this works, I made something similar a few months back. But the problem is without generation you are extremely limited in the use cases. And while the model can't hallucinate, it can still be wrong. It just can't make up data.

Imprecise and incorrect are the same thing when it comes to an exact science. His predictions include dates and that makes them binary. You can only be right or wrong. Being close is still incorrect, and he's not even close.

This is exactly what Jenson said in all of his interviews. Banning it in the short term would have long term consequences.

I thought the exact same. There is also a growing problem with people using AI to summarize everything instead of reading the actual text. I thought this addressed that issue by having a section for the AI to help summarize or something similar.

I didn't expect Gemini 3.5 Flash to top basically every metric in this article.

How is this different from descript? It seems like descript, but you took out the video functionality?

Tell that to game theory.

What's stopping the non-profits that exist today from just putting more money into tokens to get the solutions they want?

If the source is a person instead of an LLM, you still wouldn't be able to evaluate what was said. This is nothing new.

To me this is such a weird take. I'd imagine you don't have a clear understanding of how 95% of the things you interact with on a daily basis is made. So many things from Shampoos, to Microwaves, to your car, to how your coffee is sourced and made. You are perfectly fine giving away your full control and understanding to another intelligence/s for these things. This could be a bad idea, and historically has been for some people. They were eating food that contained things that weren't healthy for them or they are allergic to some product. However, a majority of people still live this way as long as most of them get a good result from the process. Most people only care about giving an input and getting the same output.