s i I know strange but look at it look at our If we don't have assume we don't have any input from the language Right So also nothing we could query the ontology but we have a certain user setting If you just ask what is the likelihood of that person wanting to enter some something give you an answer Right Sure how they are And so whatever that is the generic default intention That it would find out Which is wanting to know where something is maybe nnn and wanting I don't know what gonna be but gonna be something that Well not gonna are you gonna get a variety of intentions out of that then I mean just talking about like given this user the th what is it what is that user most likely to want to do And you have observe talk about some user and context stuff and ask the posterior probabilities of all of our decision OK nodes You could even say take all the priors observe nothing and query all the posterior probabilities It gonna tell us something Right And Well it will d r assign values to all the nodes Yes Yes And come up with posterior probabilities for all the values of the decision nodes Which if we have an algorithm that filters out whatever the the best or the most consistent answer out of that will give us the intention ex nihilo And that is exactly what would happen if we ask it to produce an utterance it would be b based on that extension ex nihilo which we don't know what it is but there So we wouldn't even have to t to kick start it by giving it a certain intention or observing anything on the decision node And whatever that maybe that would lead to what is the just castle or what is I that what afraid whatever is if we don't you know set up a situation just get a bunch of garbage out like you know No exactly thirty percent Yeah So what we actually then need to do is is write a little script that changes all the settings you know go goes through all the permutations which is we did a didn't we calculate that once Well that was that was absurdly Uh low in the last meeting cuz I went and looked at it cuz I was thinking that could not be right and it would it was on the order of twenty output nodes and something like twenty And like thirty input nodes thirty input some nodes So to test every output node uh would at least see so it would be two to the thirty for every output node Which is very th very large Oh Oh n nothing for those neural guys I mean they train for millions and millions of epochs So talking about Oh I was gonna take a drink of my water talking about billions and billions and billions and a number two to the thirty is like a Bhaskara said we had calculated out and Bhaskara believes that larger than the number of particles in the universe And if don't i right or not Th big just uh a billion right Two to the thirty Well two to the thirty is a billion but if we have to do it two to Right twenty times Argh then a very very large number Oh OK Yeah Yeah big Cuz Sure query the node for every a Alright uh or query the net two to the twenty times Or not two to th excuse me twenty times OK So is it t comes to twenty billion or something Yes pretty big though big Actually Oh We calculated a different number before How did we do that Hmm I remember there being some other one floating around But anyway uh I don't really Yeah g Anyway the point is just given big all of these different factors uh e still going to be impossible to run through all of the possible situations or whatever But I mean get us a bit closer at least right I mean If it takes us a second to do for each one and say twenty billion then twenty billion seconds which is Eva do the math Long Can't Hours and hours and hours and hours But we can do randomized testing Which probabilistically will be good enough Yeah So it be it an idea that one could n for for example run run past um that name You know He usually here Tsk Here in the group J Jer Jerj Jerry Feldman yeah the guy We we we we Wait g who Yeah i that would the g the bald guy advisor And um so this is just an idea floating around and see what happens And um hmm what other news do I have Well we fixed some more things from the SmartKom system but not really of general interest Um Oh Questions yeah ask Eva about the and working on that How is the generation XML thing gonna work on that today and tomorrow OK No need to do it today or tomorrow even Do it next week or gonna finish it today uh hopefully OK I wanna do one of those things where I stay here Cuz uh if I go home I can't finish it tried about five times so far where I work for a while and then like hungry So I go home and then I think not going back Yeah Either that or I think to myself I can work at home And then I try Yeah work at home but I fail miserably Like I ended up at Blakes last night No I almost got into a brawl But I did not finish the uh But been looking into it I th not like a blank slate I found everything that I need and stu and uh But st At the b uh furthermore I told Jerry that I was gonna finish it before he got back So approaching coming back when Uh next Well I think we think see him definitely on Tuesday for the next Or no wait The meetings are on Thursday Maybe Who knows Maybe OK Well see him next week Alright good Yeah The paper Hmm I was thinking about that I think I will try to work on the SmartKom stuff and if I can finish it today help you with that tomorrow if you work on it I don't have a problem with us working on it though So OK So you And would say funky cool I mean we just I mean it wouldn't hurt to write up a paper cuz then I mean yeah I was talking with Nancy and Nancy said you don't know whether you have a paper to write up until you write it up So Yeah Well And since coming back we can run it by him too So Yep Um your input