Live data from Hacker News

A DARPA Perspective on Artificial Intelligence [pdf]

darpa.mil

61–64 of 64 posts

Re: A DARPA Perspective on Artificial Intelligence [pdf]

#61

Here is the presentation in form of a blog post: https://machinelearning.technicacuriosa.com/2017/03/19/a-dar...

This submission should have a (2016)/(2017) on it. I looked at the image caption example and immediately went 'wait, that's wrong, current 2020/2021 captioners would get that right', but of course, for 2017 that's plausible.

Re: A DARPA Perspective on Artificial Intelligence [pdf]

#62

I wonder who is trying to get what funded? "Second wave" is going gangbusters, despite Gary Marcus' every-six-months rant; the review of statistical learning is reasonable given a barely technical audience, but the summary of "third wave" seems designed to extract large amounts of funding from people who aren't up to date on the state of the field.

Theranos got a great deal of funding too, and the truth about how none of the "Second Wave" ML self driving car technology comes even remotely close to safe self driving will be coming out probably later this year. The issue is that ML has no conceptual and causal understanding of anything. For confirmation, I've been carefully watching the countless "self driving" startups in San Francisco driving around, and I have…

Cruise is actively running a driverless robotaxi service in SF, so your assertion is at least partly wrong.

Re: A DARPA Perspective on Artificial Intelligence [pdf]

#63
post #60

Earlier quoted context omitted.

Searching "tay ai" into Google images leads to a handful images that show the initial comment are clearly not "repeat after me" responses. Of those that exist, most of them have been pretty offensive.

I think you are being insufficiently mediate-literate and skeptical and willing to take screenshots at face-value, given that I just demonstrated that a widely-cited example is in fact maliciously and misleadingly edited to remove the context and lie to the viewer about what happened. Did any of the coverage you read mention that? No, they did not. So why do you trust them on everything else and assume they did a goo…

You obviously have a lot more skin I the game here and seem to be presenting arguments against points I never suggested or implied.

> then all we are seeing is typical chatbot evasiveness and generic Eliza-level responses

Having found an archive of replies (https://imgur.com/a/iBnbW) "plausible ones are empty chatbot spacefilling cherrypicked out of countless thousands of tweet" seems apt.

In my mind this was the "lesson to be learned" is a HCI one rather than a technical one.

Re: A DARPA Perspective on Artificial Intelligence [pdf]

#64
post #60

Earlier quoted context omitted.

I think you are being insufficiently mediate-literate and skeptical and willing to take screenshots at face-value, given that I just demonstrated that a widely-cited example is in fact maliciously and misleadingly edited to remove the context and lie to the viewer about what happened. Did any of the coverage you read mention that? No, they did not. So why do you trust them on everything else and assume they did a goo…

You obviously have a lot more skin I the game here and seem to be presenting arguments against points I never suggested or implied. > then all we are seeing is typical chatbot evasiveness and generic Eliza-level responses Having found an archive of replies ( https://imgur.com/a/iBnbW ) "plausible ones are empty chatbot spacefilling cherrypicked out of countless thousands of tweet" seems apt. In my mind this was the "…

Yes, I would say there are two lessons to be learned from Tay: first, the now-familiar HCI "people are why we can't have nice things" lesson (eg. why you shouldn't do free-response text fields on surveys or polls); and second, about how bad reporting and 'AI safety' discussions tend to be. This is truly basic factchecking and Journalism 101: "so, did this actually happen?" (No.) That the 'Internet racists taught Tay to be evil' legend gets repeated so much and so uncritically, not just by random commenters but by supposed experts in AI and AI safety/bias specifically, is shameful and suggests the areas are epistemically rotten. If they can't understand a simple chatbot echo function, why do you trust them on anything harder?
Post reply on HN