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> No one ever shows what these should and could actually be used for - incredibly boring and repetitive tasks. Agreed! That’s precisely why we created https://openadapt.ai .
Just FYI the email field on your homepage is white text on white background for me (Firefox on Windows). Was very hard to sign up.
So many questions. Is this a YC company? Did they apply? Does anyone know anything about them at all? It just screams scam to me. Who would give them $200 for vapor? [Edit: I have been told the device has been demoed in a comment below, so perhaps it might be real.] Let’s say Apple were to do this. Apple would take years to get it right but when they announced it would be with a date with an accuracy to within a cert…
Weird ad hominem. Your entire comment reeks of a bundle of biases.
Note that this is not a Teenage Engineering product. This is a product sold by Rabbit - and they hired TE to help as a design agency.
Think it's a mistake having the main product design team as an external resource not a core part of the company. Wont be a coherent vision.
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I also don't understand why they call it LLM. it isn't.
I think they call it a Large Action Model not an LLM.
In the linked keynote, Jesse Lyu mentions that LLM won't help us actually do tasks - there are currently no so-called "agents" that do something simple like book a flight - the best way to do it is still to click the buttons yourself. Rabbit means to solve that by creating a "LAM", a "Large Action model", which is a service by Rabbit that will click interfaces for you. I'm not sure this is the right approach - if it…
> Rabbit means to solve that by creating a "LAM", a "Large Action model", which is a service by Rabbit that will click interfaces for you. I'm not sure this is the right approach - if it is successful, it will lead to more centralisation around Rabbit. The LAM is a genius hack to get around the thousands of closed gardens that apps have created. It also may have been easier than teaching an LLM how to make tons of AP…
90% of use cases will be covered by an official API.
They’ll cover the other 10% with “teaching”. Essentially you telling the AI what the lazily written markup actually means. Then they save it into an automation template. QA teams have only been doing that for the better part of 3 decades.
I know a company that employs a building of a 1,000 people doing nothing but performing 1 click. So they put a human in the scraping /automation loop so they don’t violate the site/services TOS.
Good luck with that.
In the linked keynote, Jesse Lyu mentions that LLM won't help us actually do tasks - there are currently no so-called "agents" that do something simple like book a flight - the best way to do it is still to click the buttons yourself. Rabbit means to solve that by creating a "LAM", a "Large Action model", which is a service by Rabbit that will click interfaces for you. I'm not sure this is the right approach - if it…
> Rabbit means to solve that by creating a "LAM", a "Large Action model", which is a service by Rabbit that will click interfaces for you. https://openadapt.ai is an open source app that runs on your local machine that clicks interfaces for you -— but only for repetitive tasks that you show it how to do.
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I'm very interested in what Apple does with LLMs on iDevices. They have the right hardware for it and they have all the motivation, with their focus on on-device processing. OTOH they also have a pretty bad history with their AI assistant.
They should have been building this instead of Vision Pro white elephant
This isn’t a case where they had to choose one or the other (not saying that you’re saying that). It seems like they were genuinely caught off guard.
They let almost the entire original Siri team walk didn’t they?
What's the advantage of this vs a smartphone? Realistically, are you going to carry two gadgets with you? I feel like a lot of people don't like the smartphone, because, being a general purpose computer, it takes away the excuse to buy all sorts of different gadgets.
having a purpose built device reduces number of clicks and other friction. currently phones are hostile to AI interaction (not that I'm entertaining this specific device)
It’s the dedicated appliance that’s the genius part and what makes it feel like magic.
push a button and talk to the ear buds.
On wifi at least. without a camera.
Not sure if any models are trained with app screenshots and interactions quite yet though. Shouldn't be long.