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Rabbit ’s r1 , the AI supporter gismo whose hype train has moderately slowedsince its debut at CES , has some updates to deal — but probably not anything that will change its critic ’ minds just yet .
A new “ beta lapin ” mode adds some conversational AI chop to the gadget , particularly in more complex or multi - step instructions . It should also be better at asking follow - up inquiry when it is n’t sure about something .
As an example , they pop the question something like the following :
“ beta rabbit , can you suggest three ledger similar to ‘ the power of now ’ , include varlet distance , year of release , and rating , and save that as a note style ‘ reading listing ’ . also include pictures of the source ”
[ follow by :] “ beta rabbit , can you also get me summaries for those three al-Qur’an ? ”
set a travel route and witness deals or recommendations for products are some other suggested choice . As occasional users of chatbots ourselves , we ’ve found this type of task is telling as a demonstration , but seldom useful in reality .
For example , chatbot itineraries can beweird and irregular , and compare specs and cost shows web - trash art but ultimately is inconvenient on such a small twist . And who is go to trust such haphazardly source book recommendations ?
There is also some improved dismay and timekeeper poppycock ( you could see all the new material here ) , for certain welcome but also now and then fall into the “ wait a second … ” category . For instance , “ Set a timekeeper for baking chocolate microchip cookies ” : At what temperature ? How many ? What variety of cookie ? This is a formula for culinary cataclysm . The AI ca n’t mayhap have it off that clobber . On the other hand , it would be dead sane to ask it , “ How long should two XII chocolate chip cookie go in the oven at 300 grade for ? ”
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Of course , what everyone is waiting on is the much - vaunted yet so far highly problematical “ large action example ” stuff the ship’s company was touting back in January . The pitch — which I took as aspirational but not ludicrous then — was that the model was trained on phone and WWW app interface and would be able-bodied to sail them autonomously to accomplish user - chosen project . So far that capacity has not been show outside of demos , or if an action is claimed to be using it , it ’s undistinguishable from what an API or ordinary action scripting could accomplish .
I stay on optimistic at theeventual service program of this foul little gadget , which is why , although I have had almost no occasion to use it since we grow one to review , I have n’t banished it to a draftsman — yet .
I ’ve ask rabbit about when we can have a bun in the oven tidings on the LAM and will update this post if I hear back .
