[ExI] thawing of ai winter?

[Kunvar Thaman]

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.

As for Stanford weekly seminars, I didn't know about them, I'll check them
out.

&Kunvar

On Fri, Apr 17, 2020, 9:40 PM Dylan Distasio via extropy-chat <
extropy-chat at lists.extropy.org> wrote:

> Hi Spike-
>
> 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.
>
> On Fri, Apr 17, 2020 at 11:46 AM spike jones via extropy-chat <
> extropy-chat at lists.extropy.org> wrote:
>
>>
>>
>>
>>
>>
>>
>> Stanford weekly seminars are quite good.  I have half a mind to tune in
>> to this discussion today.
>>
>>
>>
>>
>> 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
>>
>>
>>
>> This comment about thawing of the AI winter caught my attention.  What is
>> that?  I didn’t realize we were in an AI winter.
>>
>>
>>
>> AI hipsters, do offer an educational comment please.
>>
>>
>>
>> spike
>>
>>
>>
>>
>>
>>
>>
>>
>>
>> EVENT TODAY!
>>
>> HAI Weekly Seminar with Vinay Uday Prabhu
>>
>> On the Four Horsemen of Ethical Malice in Peer-Reviewed Machine Learning
>> Literature
>>
>>
>>
>> April 17, 2020
>>
>> 11:00AM PDT
>>
>>                 Add to Calendar
>>
>>
>>
>>
>>
>> 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.
>>
>>
>>
>> Abstract: The thawing of the AI winter and the subsequent deep learning
>> revolution 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…
>>
>>
>>
>>
>>
>>
>>
>>
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