<div dir="auto"><div>And deep learning is *incredibly* data hungry. I've worked in a start-up trying to build self driving cars (I worked on navigation) and i had to quit because of how frustrating it got - it really showed me how much data deep learning demands to be good and how brittle it is. We're very far from a AI.</div><div dir="auto"><br></div><div dir="auto">As for Stanford weekly seminars, I didn't know about them, I'll check them out.<br><br><div data-smartmail="gmail_signature" dir="auto">&Kunvar</div><br><div class="gmail_quote" dir="auto"><div dir="ltr" class="gmail_attr">On Fri, Apr 17, 2020, 9:40 PM Dylan Distasio via extropy-chat <<a href="mailto:extropy-chat@lists.extropy.org">extropy-chat@lists.extropy.org</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi Spike-<div><br></div><div>I believe they're referring to the thaw in the AI winter DUE to deep learning's success in recent years (so the thaw has been going on for quite some while, really at least a decade). That said, I personally think we may be ended up heading back into the winter. As impressive as deep learning has been for SOME applications, it remains brittle and we seem to be hitting walls (i.e. it is becoming apparent that Level 5 driving cars are going to be extremely difficult to release into the real world wild with multiple complications, bad weather, etc. than people originally predicted based on the limits of current algos). I remain skeptical that we'll see a true level 5 vehicle without a breakthrough in strong AI.</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Fri, Apr 17, 2020 at 11:46 AM spike jones via extropy-chat <<a href="mailto:extropy-chat@lists.extropy.org" target="_blank" rel="noreferrer">extropy-chat@lists.extropy.org</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div lang="EN-US"><div><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Stanford weekly seminars are quite good. I have half a mind to tune in to this discussion today.<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><a href="https://hai.stanford.edu/events/hai-weekly-seminar-vinay-uday-prabhu-four-horsemen-ethical-malice-peer-reviewed-machine?utm_source=Stanford+University&utm_campaign=0f2d627924-EMAIL_CAMPAIGN_2020_03_13_10_26_COPY_01&utm_medium=email&utm_term=0_aaf04f4a4b-0f2d627924-199837799" target="_blank" rel="noreferrer">https://hai.stanford.edu/events/hai-weekly-seminar-vinay-uday-prabhu-four-horsemen-ethical-malice-peer-reviewed-machine?utm_source=Stanford+University&utm_campaign=0f2d627924-EMAIL_CAMPAIGN_2020_03_13_10_26_COPY_01&utm_medium=email&utm_term=0_aaf04f4a4b-0f2d627924-199837799</a><u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">This comment about thawing of the AI winter caught my attention. What is that? I didn’t realize we were in an AI winter.<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">AI hipsters, do offer an educational comment please.<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">spike<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">EVENT TODAY!<u></u><u></u></p><p class="MsoNormal">HAI Weekly Seminar with Vinay Uday Prabhu<u></u><u></u></p><p class="MsoNormal">On the Four Horsemen of Ethical Malice in Peer-Reviewed Machine Learning Literature<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">April 17, 2020<u></u><u></u></p><p class="MsoNormal">11:00AM PDT <u></u><u></u></p><p class="MsoNormal"> Add to Calendar<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Speaker Bio: Vinay Prabhu is currently the Chief Scientist at UnifyID Inc, where he leads efforts towards architecting and deploying the state-of-the-art passive mobile biometrics solution by bringing together machine learning algorithms and smart-sensor data to model the human behind the device. <u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Abstract: <span style="font-size:18pt">The thawing of the AI winter and the subsequent deep learning revolution </span>has been marked by large scale open-source-driven democratization efforts and a paper publishing frenzy. As we navigate through this massive corpus of technical literature, four categories of ethical transgressions come to fore: Dataset curation, Modeling, Problem definitions and sycophantic tech-journalism. In this talk, we will explore specific examples in each of these categories with a strong focus on computer vision. The goal of this talk is to not just demonstrate the widespread usage of these datasets and models, but to also elicit a commitment from the attending scholars to either not use these datasets or models, or to insert an ethical caveat in case of unavoidable usage…<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p></div></div>_______________________________________________<br>
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