> > May I also point out to the My settings button on your top right corner > > My topic email subscriptions > Unsubscribe from this thread, which would've > spared you the message.
I'm sorry, but this kind of attitude is totally unacceptable, Kevin. I've tolerated your misuse of the mailing list, but it is not acceptable for you to imply that others are behaving inappropriately when they complain about your unequivocal misuse of the mailing list. --John On Friday, September 2, 2016 at 7:23:27 AM UTC-7, Kevin Liu wrote: > > May I also point out to the My settings button on your top right corner > > My topic email subscriptions > Unsubscribe from this thread, which would've > spared you the message. > > On Friday, September 2, 2016 at 11:19:42 AM UTC-3, Kevin Liu wrote: >> >> Hello Chris. Have you been applying relational learning to your Neural >> Crest Migration Patterns in Craniofacial Development research project? It >> could enhance your insights. >> >> On Friday, September 2, 2016 at 6:18:15 AM UTC-3, Chris Rackauckas wrote: >>> >>> This entire thread is a trip... a trip which is not really relevant to >>> julia-users. You may want to share these musings in the form of a blog >>> instead of posting them here. >>> >>> On Friday, September 2, 2016 at 1:41:03 AM UTC-7, Kevin Liu wrote: >>>> >>>> Princeton's post: >>>> http://www.nytimes.com/2016/08/28/world/europe/france-burkini-bikini-ban.html?_r=1 >>>> >>>> Only logic saves us from paradox. - Minsky >>>> >>>> On Thursday, August 25, 2016 at 10:18:27 PM UTC-3, Kevin Liu wrote: >>>>> >>>>> Tim Holy, I am watching your keynote speech at JuliaCon 2016 where you >>>>> mention the best optimization is not doing the computation at all. >>>>> >>>>> Domingos talks about that in his book, where an efficient kind of >>>>> learning is by analogy, with no model at all, and how numerous scientific >>>>> discoveries have been made that way, e.g. Bohr's analogy of the solar >>>>> system to the atom. Analogizers learn by hypothesizing that entities with >>>>> similar known properties have similar unknown ones. >>>>> >>>>> MLN can reproduce structure mapping, which is the more powerful type >>>>> of analogy, that can make inferences from one domain (solar system) to >>>>> another (atom). This can be done by learning formulas that don't refer to >>>>> any of the specific relations in the source domain (general formulas). >>>>> >>>>> Seth and Tim have been helping me a lot with putting the pieces >>>>> together for MLN in the repo I created >>>>> <https://github.com/hpoit/Kenya.jl/issues/2>, and more help is always >>>>> welcome. I would like to write MLN in idiomatic Julia. My question at the >>>>> moment to you and the community is how to keep mappings of first-order >>>>> harmonic functions type-stable in Julia? I am just getting acquainted >>>>> with >>>>> the type field. >>>>> >>>>> On Tuesday, August 9, 2016 at 9:02:25 AM UTC-3, Kevin Liu wrote: >>>>>> >>>>>> Helping me separate the process in parts and priorities would be a >>>>>> lot of help. >>>>>> >>>>>> On Tuesday, August 9, 2016 at 8:41:03 AM UTC-3, Kevin Liu wrote: >>>>>>> >>>>>>> Tim Holy, what if I could tap into the well of knowledge that you >>>>>>> are to speed up things? Can you imagine if every learner had to start >>>>>>> without priors? >>>>>>> >>>>>>> > On Aug 9, 2016, at 07:06, Tim Holy <tim....@gmail.com> wrote: >>>>>>> > >>>>>>> > I'd recommend starting by picking a very small project. For >>>>>>> example, fix a bug >>>>>>> > or implement a small improvement in a package that you already >>>>>>> find useful or >>>>>>> > interesting. That way you'll get some guidance while making a >>>>>>> positive >>>>>>> > contribution; once you know more about julia, it will be easier to >>>>>>> see your >>>>>>> > way forward. >>>>>>> > >>>>>>> > Best, >>>>>>> > --Tim >>>>>>> > >>>>>>> >> On Monday, August 8, 2016 8:22:01 PM CDT Kevin Liu wrote: >>>>>>> >> I have no idea where to start and where to finish. Founders' help >>>>>>> would be >>>>>>> >> wonderful. >>>>>>> >> >>>>>>> >>> On Tuesday, August 9, 2016 at 12:19:26 AM UTC-3, Kevin Liu >>>>>>> wrote: >>>>>>> >>> After which I have to code Felix into Julia, a relational >>>>>>> optimizer for >>>>>>> >>> statistical inference with Tuffy < >>>>>>> http://i.stanford.edu/hazy/tuffy/> >>>>>>> >>> inside, for enterprise settings. >>>>>>> >>> >>>>>>> >>>> On Tuesday, August 9, 2016 at 12:07:32 AM UTC-3, Kevin Liu >>>>>>> wrote: >>>>>>> >>>> Can I get tips on bringing Alchemy's optimized Tuffy >>>>>>> >>>> <http://i.stanford.edu/hazy/tuffy/> in Java to Julia while >>>>>>> showing the >>>>>>> >>>> best of Julia? I am going for the most correct way, even if it >>>>>>> means >>>>>>> >>>> coding >>>>>>> >>>> Tuffy into C and Julia. >>>>>>> >>>> >>>>>>> >>>>> On Sunday, August 7, 2016 at 8:34:37 PM UTC-3, Kevin Liu >>>>>>> wrote: >>>>>>> >>>>> I'll try to build it, compare it, and show it to you guys. I >>>>>>> offered to >>>>>>> >>>>> do this as work. I am waiting to see if they will accept it. >>>>>>> >>>>> >>>>>>> >>>>>> On Sunday, August 7, 2016 at 6:15:50 PM UTC-3, Stefan >>>>>>> Karpinski wrote: >>>>>>> >>>>>> Kevin, as previously requested by Isaiah, please take this to >>>>>>> some >>>>>>> >>>>>> other forum or maybe start a blog. >>>>>>> >>>>>> >>>>>>> >>>>>>> On Sat, Aug 6, 2016 at 10:53 PM, Kevin Liu <kvt...@gmail.com> >>>>>>> wrote: >>>>>>> >>>>>>> Symmetry-based learning, Domingos, 2014 >>>>>>> >>>>>>> >>>>>>> https://www.microsoft.com/en-us/research/video/symmetry-based-learning >>>>>>> >>>>>>> / >>>>>>> >>>>>>> >>>>>>> >>>>>>> Approach 2: Deep symmetry networks generalize convolutional >>>>>>> neural >>>>>>> >>>>>>> networks by tying parameters and pooling over an arbitrary >>>>>>> symmetry >>>>>>> >>>>>>> group, >>>>>>> >>>>>>> not just the translation group. In preliminary experiments, >>>>>>> they >>>>>>> >>>>>>> outperformed convnets on a digit recognition task. >>>>>>> >>>>>>> >>>>>>> >>>>>>>> On Friday, August 5, 2016 at 4:56:45 PM UTC-3, Kevin Liu >>>>>>> wrote: >>>>>>> >>>>>>>> Minsky died of a cerebral hemorrhage at the age of 88.[40] >>>>>>> >>>>>>>> <https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-40> >>>>>>> Ray >>>>>>> >>>>>>>> Kurzweil <https://en.wikipedia.org/wiki/Ray_Kurzweil> says >>>>>>> he was >>>>>>> >>>>>>>> contacted by the cryonics organization Alcor Life Extension >>>>>>> >>>>>>>> Foundation >>>>>>> >>>>>>>> < >>>>>>> https://en.wikipedia.org/wiki/Alcor_Life_Extension_Foundation> >>>>>>> >>>>>>>> seeking >>>>>>> >>>>>>>> Minsky's body.[41] >>>>>>> >>>>>>>> < >>>>>>> https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-Kurzweil-41> >>>>>>> >>>>>>>> Kurzweil believes that Minsky was cryonically preserved by >>>>>>> Alcor and >>>>>>> >>>>>>>> will be revived by 2045.[41] >>>>>>> >>>>>>>> < >>>>>>> https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-Kurzweil-41> >>>>>>> >>>>>>>> Minsky >>>>>>> >>>>>>>> was a member of Alcor's Scientific Advisory Board >>>>>>> >>>>>>>> <https://en.wikipedia.org/wiki/Advisory_Board>.[42] >>>>>>> >>>>>>>> < >>>>>>> https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-AlcorBoard-42> >>>>>>> >>>>>>> >>>>>>>> In >>>>>>> >>>>>>>> keeping with their policy of protecting privacy, Alcor will >>>>>>> neither >>>>>>> >>>>>>>> confirm >>>>>>> >>>>>>>> nor deny that Alcor has cryonically preserved Minsky.[43] >>>>>>> >>>>>>>> <https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-43> >>>>>>> >>>>>>>> >>>>>>> >>>>>>>> We better do a good job. >>>>>>> >>>>>>>> >>>>>>> >>>>>>>>> On Friday, August 5, 2016 at 4:45:42 PM UTC-3, Kevin Liu >>>>>>> wrote: >>>>>>> >>>>>>>>> *So, I think in the next 20 years (2003), if we can get >>>>>>> rid of all >>>>>>> >>>>>>>>> of the traditional approaches to artificial intelligence, >>>>>>> like >>>>>>> >>>>>>>>> neural nets >>>>>>> >>>>>>>>> and genetic algorithms and rule-based systems, and just >>>>>>> turn our >>>>>>> >>>>>>>>> sights a >>>>>>> >>>>>>>>> little bit higher to say, can we make a system that can >>>>>>> use all >>>>>>> >>>>>>>>> those >>>>>>> >>>>>>>>> things for the right kind of problem? Some problems are >>>>>>> good for >>>>>>> >>>>>>>>> neural >>>>>>> >>>>>>>>> nets; we know that others, neural nets are hopeless on >>>>>>> them. Genetic >>>>>>> >>>>>>>>> algorithms are great for certain things; I suspect I know >>>>>>> what >>>>>>> >>>>>>>>> they're bad >>>>>>> >>>>>>>>> at, and I won't tell you. (Laughter)* - Minsky, founder >>>>>>> of CSAIL >>>>>>> >>>>>>>>> MIT >>>>>>> >>>>>>>>> >>>>>>> >>>>>>>>> *Those programmers tried to find the single best way to >>>>>>> represent >>>>>>> >>>>>>>>> knowledge - Only Logic protects us from paradox.* - Minsky >>>>>>> (see >>>>>>> >>>>>>>>> attachment from his lecture) >>>>>>> >>>>>>>>> >>>>>>> >>>>>>>>>> On Friday, August 5, 2016 at 8:12:03 AM UTC-3, Kevin Liu >>>>>>> wrote: >>>>>>> >>>>>>>>>> Markov Logic Network is being used for the continuous >>>>>>> development >>>>>>> >>>>>>>>>> of drugs to cure cancer at MIT's CanceRX < >>>>>>> http://cancerx.mit.edu/>, >>>>>>> >>>>>>>>>> on >>>>>>> >>>>>>>>>> DARPA's largest AI project to date, Personalized >>>>>>> Assistant that >>>>>>> >>>>>>>>>> Learns (PAL) <https://pal.sri.com/>, progenitor of Siri. >>>>>>> One of >>>>>>> >>>>>>>>>> Alchemy's largest applications to date was to learn a >>>>>>> semantic >>>>>>> >>>>>>>>>> network >>>>>>> >>>>>>>>>> (knowledge graph as Google calls it) from the web. >>>>>>> >>>>>>>>>> >>>>>>> >>>>>>>>>> Some on Probabilistic Inductive Logic Programming / >>>>>>> Probabilistic >>>>>>> >>>>>>>>>> Logic Programming / Statistical Relational Learning from >>>>>>> CSAIL >>>>>>> >>>>>>>>>> < >>>>>>> http://people.csail.mit.edu/kersting/ecmlpkdd05_pilp/pilp_ida2005_ >>>>>>> >>>>>>>>>> tut.pdf> (my understanding is Alchemy does PILP from >>>>>>> entailment, >>>>>>> >>>>>>>>>> proofs, and >>>>>>> >>>>>>>>>> interpretation) >>>>>>> >>>>>>>>>> >>>>>>> >>>>>>>>>> The MIT Probabilistic Computing Project (where there is >>>>>>> Picture, an >>>>>>> >>>>>>>>>> extension of Julia, for computer vision; Watch the video >>>>>>> from >>>>>>> >>>>>>>>>> Vikash) >>>>>>> >>>>>>>>>> <http://probcomp.csail.mit.edu/index.html> >>>>>>> >>>>>>>>>> >>>>>>> >>>>>>>>>> Probabilistic programming could do for Bayesian ML what >>>>>>> Theano has >>>>>>> >>>>>>>>>> done for neural networks. >>>>>>> >>>>>>>>>> <http://www.inference.vc/deep-learning-is-easy/> - >>>>>>> Ferenc Huszár >>>>>>> >>>>>>>>>> >>>>>>> >>>>>>>>>> Picture doesn't appear to be open-source, even though its >>>>>>> Paper is >>>>>>> >>>>>>>>>> available. >>>>>>> >>>>>>>>>> >>>>>>> >>>>>>>>>> I'm in the process of comparing the Picture Paper and >>>>>>> Alchemy code >>>>>>> >>>>>>>>>> and would like to have an open-source PILP from Julia >>>>>>> that combines >>>>>>> >>>>>>>>>> the >>>>>>> >>>>>>>>>> best of both. >>>>>>> >>>>>>>>>> >>>>>>> >>>>>>>>>> On Wednesday, August 3, 2016 at 5:01:02 PM UTC-3, >>>>>>> Christof Stocker >>>>>>> >>>>>>>>>> >>>>>>> >>>>>>>>>> wrote: >>>>>>> >>>>>>>>>>> This sounds like it could be a great contribution. I >>>>>>> shall keep a >>>>>>> >>>>>>>>>>> curious eye on your progress >>>>>>> >>>>>>>>>>> >>>>>>> >>>>>>>>>>> Am Mittwoch, 3. August 2016 21:53:54 UTC+2 schrieb Kevin >>>>>>> Liu: >>>>>>> >>>>>>>>>>>> Thanks for the advice Cristof. I am only interested in >>>>>>> people >>>>>>> >>>>>>>>>>>> wanting to code it in Julia, from R by Domingos. The >>>>>>> algo has >>>>>>> >>>>>>>>>>>> been >>>>>>> >>>>>>>>>>>> successfully applied in many areas, even though there >>>>>>> are many >>>>>>> >>>>>>>>>>>> other areas >>>>>>> >>>>>>>>>>>> remaining. >>>>>>> >>>>>>>>>>>> >>>>>>> >>>>>>>>>>>> On Wed, Aug 3, 2016 at 4:45 PM, Christof Stocker < >>>>>>> >>>>>>>>>>>> >>>>>>> >>>>>>>>>>>> stocker....@gmail.com> wrote: >>>>>>> >>>>>>>>>>>>> Hello Kevin, >>>>>>> >>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>> Enthusiasm is a good thing and you should hold on to >>>>>>> that. But >>>>>>> >>>>>>>>>>>>> to save yourself some headache or disappointment down >>>>>>> the road I >>>>>>> >>>>>>>>>>>>> advice a >>>>>>> >>>>>>>>>>>>> level head. Nothing is really as bluntly obviously >>>>>>> solved as it >>>>>>> >>>>>>>>>>>>> may seems >>>>>>> >>>>>>>>>>>>> at first glance after listening to brilliant people >>>>>>> explain >>>>>>> >>>>>>>>>>>>> things. A >>>>>>> >>>>>>>>>>>>> physics professor of mine once told me that one of the >>>>>>> (he >>>>>>> >>>>>>>>>>>>> thinks) most >>>>>>> >>>>>>>>>>>>> malicious factors to his past students progress where >>>>>>> overstated >>>>>>> >>>>>>>>>>>>> results/conclusions by other researches (such as >>>>>>> premature >>>>>>> >>>>>>>>>>>>> announcements >>>>>>> >>>>>>>>>>>>> from CERN). I am no mathematician, but as far as I can >>>>>>> judge is >>>>>>> >>>>>>>>>>>>> the no free >>>>>>> >>>>>>>>>>>>> lunch theorem of pure mathematical nature and not >>>>>>> something >>>>>>> >>>>>>>>>>>>> induced >>>>>>> >>>>>>>>>>>>> empirically. These kind of results are not that easily >>>>>>> to get >>>>>>> >>>>>>>>>>>>> rid of. If >>>>>>> >>>>>>>>>>>>> someone (especially an expert) states such a theorem >>>>>>> will prove >>>>>>> >>>>>>>>>>>>> wrong I >>>>>>> >>>>>>>>>>>>> would be inclined to believe that he is not talking >>>>>>> about >>>>>>> >>>>>>>>>>>>> literally, but >>>>>>> >>>>>>>>>>>>> instead is just trying to make a point about a more or >>>>>>> less >>>>>>> >>>>>>>>>>>>> practical >>>>>>> >>>>>>>>>>>>> implication. >>>>>>> >>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>> Am Mittwoch, 3. August 2016 21:27:05 UTC+2 schrieb >>>>>>> Kevin Liu: >>>>>>> >>>>>>>>>>>>>> The Markov logic network represents a probability >>>>>>> distribution >>>>>>> >>>>>>>>>>>>>> over the states of a complex system (i.e. a cell), >>>>>>> comprised of >>>>>>> >>>>>>>>>>>>>> entities, >>>>>>> >>>>>>>>>>>>>> where logic formulas encode the dependencies between >>>>>>> them. >>>>>>> >>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>> On Wednesday, August 3, 2016 at 4:19:09 PM UTC-3, >>>>>>> Kevin Liu >>>>>>> >>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>> wrote: >>>>>>> >>>>>>>>>>>>>>> Alchemy is like an inductive Turing machine, to be >>>>>>> programmed >>>>>>> >>>>>>>>>>>>>>> to learn broadly or restrictedly. >>>>>>> >>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>> The logic formulas from rules through which it >>>>>>> represents can >>>>>>> >>>>>>>>>>>>>>> be inconsistent, incomplete, or even incorrect-- the >>>>>>> learning >>>>>>> >>>>>>>>>>>>>>> and >>>>>>> >>>>>>>>>>>>>>> probabilistic reasoning will correct them. The key >>>>>>> point is >>>>>>> >>>>>>>>>>>>>>> that Alchemy >>>>>>> >>>>>>>>>>>>>>> doesn't have to learn from scratch, proving Wolpert >>>>>>> and >>>>>>> >>>>>>>>>>>>>>> Macready's no free >>>>>>> >>>>>>>>>>>>>>> lunch theorem wrong by performing well on a variety >>>>>>> of classes >>>>>>> >>>>>>>>>>>>>>> of problems, >>>>>>> >>>>>>>>>>>>>>> not just some. >>>>>>> >>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>> On Wednesday, August 3, 2016 at 4:01:15 PM UTC-3, >>>>>>> Kevin Liu >>>>>>> >>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>> wrote: >>>>>>> >>>>>>>>>>>>>>>> Hello Community, >>>>>>> >>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>> I'm in the last pages of Pedro Domingos' book, the >>>>>>> Master >>>>>>> >>>>>>>>>>>>>>>> Algo, one of two recommended by Bill Gates to learn >>>>>>> about AI. >>>>>>> >>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>> From the book, I understand all learners have to >>>>>>> represent, >>>>>>> >>>>>>>>>>>>>>>> evaluate, and optimize. There are many types of >>>>>>> learners that >>>>>>> >>>>>>>>>>>>>>>> do this. What >>>>>>> >>>>>>>>>>>>>>>> Domingos does is generalize these three parts, (1) >>>>>>> using >>>>>>> >>>>>>>>>>>>>>>> Markov Logic >>>>>>> >>>>>>>>>>>>>>>> Network to represent, (2) posterior probability to >>>>>>> evaluate, >>>>>>> >>>>>>>>>>>>>>>> and (3) >>>>>>> >>>>>>>>>>>>>>>> genetic search with gradient descent to optimize. >>>>>>> The >>>>>>> >>>>>>>>>>>>>>>> posterior can be >>>>>>> >>>>>>>>>>>>>>>> replaced for another accuracy measure when it is >>>>>>> easier, as >>>>>>> >>>>>>>>>>>>>>>> genetic search >>>>>>> >>>>>>>>>>>>>>>> replaced by hill climbing. Where there are 15 >>>>>>> popular options >>>>>>> >>>>>>>>>>>>>>>> for >>>>>>> >>>>>>>>>>>>>>>> representing, evaluating, and optimizing, Domingos >>>>>>> >>>>>>>>>>>>>>>> generalized them into >>>>>>> >>>>>>>>>>>>>>>> three options. The idea is to have one unified >>>>>>> learner for >>>>>>> >>>>>>>>>>>>>>>> any application. >>>>>>> >>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>> There is code already done in R >>>>>>> >>>>>>>>>>>>>>>> https://alchemy.cs.washington.edu/. My question: >>>>>>> anybody in >>>>>>> >>>>>>>>>>>>>>>> the community vested in coding it into Julia? >>>>>>> >>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>> Thanks. Kevin >>>>>>> >>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>> On Friday, June 3, 2016 at 3:44:09 PM UTC-3, Kevin >>>>>>> Liu wrote: >>>>>>> >>>>>>>>>>>>>>>>> https://github.com/tbreloff/OnlineAI.jl/issues/5 >>>>>>> >>>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>> On Friday, June 3, 2016 at 11:17:28 AM UTC-3, >>>>>>> Kevin Liu >>>>>>> >>>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>> wrote: >>>>>>> >>>>>>>>>>>>>>>>>> I plan to write Julia for the rest of me life... >>>>>>> given it >>>>>>> >>>>>>>>>>>>>>>>>> remains suitable. I am still reading all of >>>>>>> Colah's >>>>>>> >>>>>>>>>>>>>>>>>> material on nets. I ran >>>>>>> >>>>>>>>>>>>>>>>>> Mocha.jl a couple weeks ago and was very happy to >>>>>>> see it >>>>>>> >>>>>>>>>>>>>>>>>> work. Thanks for >>>>>>> >>>>>>>>>>>>>>>>>> jumping in and telling me about OnlineAI.jl, I >>>>>>> will look >>>>>>> >>>>>>>>>>>>>>>>>> into it once I am >>>>>>> >>>>>>>>>>>>>>>>>> ready. From a quick look, perhaps I could help >>>>>>> and learn by >>>>>>> >>>>>>>>>>>>>>>>>> building a very >>>>>>> >>>>>>>>>>>>>>>>>> clear documentation of it. Would really like to >>>>>>> see Julia a >>>>>>> >>>>>>>>>>>>>>>>>> leap ahead of >>>>>>> >>>>>>>>>>>>>>>>>> other languages, and plan to contribute heavily >>>>>>> to it, but >>>>>>> >>>>>>>>>>>>>>>>>> at the moment am >>>>>>> >>>>>>>>>>>>>>>>>> still getting introduced to CS, programming, and >>>>>>> nets at >>>>>>> >>>>>>>>>>>>>>>>>> the basic level. >>>>>>> >>>>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>>> On Friday, June 3, 2016 at 10:48:15 AM UTC-3, Tom >>>>>>> Breloff >>>>>>> >>>>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>>> wrote: >>>>>>> >>>>>>>>>>>>>>>>>>> Kevin: computers that program themselves is a >>>>>>> concept >>>>>>> >>>>>>>>>>>>>>>>>>> which is much closer to reality than most would >>>>>>> believe, >>>>>>> >>>>>>>>>>>>>>>>>>> but julia-users >>>>>>> >>>>>>>>>>>>>>>>>>> isn't really the best place for this >>>>>>> speculation. If >>>>>>> >>>>>>>>>>>>>>>>>>> you're actually >>>>>>> >>>>>>>>>>>>>>>>>>> interested in writing code, I'm happy to discuss >>>>>>> in >>>>>>> >>>>>>>>>>>>>>>>>>> OnlineAI.jl. I was >>>>>>> >>>>>>>>>>>>>>>>>>> thinking about how we might tackle code >>>>>>> generation using a >>>>>>> >>>>>>>>>>>>>>>>>>> neural framework >>>>>>> >>>>>>>>>>>>>>>>>>> I'm working on. >>>>>>> >>>>>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>>>> On Friday, June 3, 2016, Kevin Liu < >>>>>>> kvt...@gmail.com> >>>>>>> >>>>>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>>>> wrote: >>>>>>> >>>>>>>>>>>>>>>>>>>> If Andrew Ng who cited Gates, and Gates who >>>>>>> cited >>>>>>> >>>>>>>>>>>>>>>>>>>> Domingos (who did not lecture at Google with a >>>>>>> TensorFlow >>>>>>> >>>>>>>>>>>>>>>>>>>> question in the >>>>>>> >>>>>>>>>>>>>>>>>>>> end), were unsuccessful penny traders, Julia >>>>>>> was a >>>>>>> >>>>>>>>>>>>>>>>>>>> language for web design, >>>>>>> >>>>>>>>>>>>>>>>>>>> and the tribes in the video didn't actually >>>>>>> solve >>>>>>> >>>>>>>>>>>>>>>>>>>> problems, perhaps this >>>>>>> >>>>>>>>>>>>>>>>>>>> would be a wildly off-topic, speculative >>>>>>> discussion. But >>>>>>> >>>>>>>>>>>>>>>>>>>> these statements >>>>>>> >>>>>>>>>>>>>>>>>>>> couldn't be farther from the truth. In fact, if >>>>>>> I had >>>>>>> >>>>>>>>>>>>>>>>>>>> known about this >>>>>>> >>>>>>>>>>>>>>>>>>>> video some months ago I would've understood >>>>>>> better on how >>>>>>> >>>>>>>>>>>>>>>>>>>> to solve a >>>>>>> >>>>>>>>>>>>>>>>>>>> problem I was working on. >>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>>>>> For the founders of Julia: I understand your >>>>>>> tribe is >>>>>>> >>>>>>>>>>>>>>>>>>>> mainly CS. This master algorithm, as you are >>>>>>> aware, would >>>>>>> >>>>>>>>>>>>>>>>>>>> require >>>>>>> >>>>>>>>>>>>>>>>>>>> collaboration with other tribes. Just citing >>>>>>> the obvious. >>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>>>>> On Friday, June 3, 2016 at 10:21:25 AM UTC-3, >>>>>>> Kevin Liu >>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>> >>>>>>>>>>>>>>>>>>>> wrote: >>>>>>> >>>>>>>>>>>>>>> >>>>>> >>>>>>
