71–80 of 92 posts
Microsoft so hell bent on throwing all of their AI-SH*T and seeing what sticks.
“The model is based on Qwen2.5-VL-7B and trained with supervised fine-tuning.”
I find it kind of hilarious that a 7 billion parameter AI model is necessary to automate the clicking of webpages. I mean, how broken is the software stack if we can't script things? We jumped the shark, clearly.
Why does Microsoft keep releasing models trained on synthetic data? Is it possible their contract with OpenAI won't let them do anything else? I would think Microsoft, of all companies, would want to be working on their own LLM behind the scenes, even if they're relying on OpenAI for the bulk of their work. Meta seems to be the only US company releasing big 'open source' models, while Chinese companies continue to re…
I don’t think there’s any strict reason they can’t from their contract. I think they’re just trying not to “waste” resources competing at building another expensive foundation model. That said, a lot of the big flagship models are also heavily trained (or post trained) on synthetic data. Microsoft has done a lot of application-specific fine tuning research. This model in particular makes sense to be synthetic though.…
They're late to the game so they're pressuring Western competitors on price by taking advantage of their lowest costs while catching up. Now they are well prepared to lead in the next front: robotics.
Forgive me if I can't keep up with the latest AI bubble mania buzzwords, but what is "agentic" even supposed to mean? As far as I can tell it doesn't have a precise definition, and doesn't even sound like proper English.
I don't understand the use case here.. We've had this kind of automation for years now without needing a heavy GPU and without risk of going rouge. The worst that might happen is an interface changes once every year or two and you need to update your scripts. Microsoft so hell bent on throwing all of their AI-SH*T and seeing what sticks.
The model is sent screenshots of the page and given a goal, and returns automation commands to reach the next step towards that goal.
I don't understand the use case here.. We've had this kind of automation for years now without needing a heavy GPU and without risk of going rouge. The worst that might happen is an interface changes once every year or two and you need to update your scripts. Microsoft so hell bent on throwing all of their AI-SH*T and seeing what sticks.
The point is that you can direct it at any of the 1bn+ websites without having to write any scripts. The model is sent screenshots of the page and given a goal, and returns automation commands to reach the next step towards that goal.
Earlier quoted context omitted.
The point is that you can direct it at any of the 1bn+ websites without having to write any scripts. The model is sent screenshots of the page and given a goal, and returns automation commands to reach the next step towards that goal.
Hmm.. Sounds like a solution looking for a problem to me.
Earlier quoted context omitted.
The point is that you can direct it at any of the 1bn+ websites without having to write any scripts. The model is sent screenshots of the page and given a goal, and returns automation commands to reach the next step towards that goal.
Hmm.. Sounds like a solution looking for a problem to me.
I find it kind of hilarious that a 7 billion parameter AI model is necessary to automate the clicking of webpages. I mean, how broken is the software stack if we can't script things? We jumped the shark, clearly.
Companies don't want to support useful APIs for interoperability so its just easier to have an LLM bruteforce problems using the same interface that humans use.