[HN Gopher] A DARPA Perspective on Artificial Intelligence [pdf] ___________________________________________________________________ A DARPA Perspective on Artificial Intelligence [pdf] Author : nulluint Score : 90 points Date : 2022-03-19 17:40 UTC (5 hours ago) (HTM) web link (www.darpa.mil) (TXT) w3m dump (www.darpa.mil) | alins wrote: | FYI the presentation is from December 2016. | jart wrote: | Wow I just read HDNW in a DARPA powerpoint. TSNE is nice BTW. | gone35 wrote: | (2016?) | | Also: | | > First wave: Handcrafted knowledge | | > Second wave: Statistical learning | | > Third wave: Contextual adaptation | | I understood clearly enough the first two, but the slides become | increasingly ambiguous and fuzzy towards the end; and it seems to | me they are mixing up a bunch of not self-evidently related | desiderata. | | It is not immediate, for instance, that small "generative" models | that are easy to interpret necessarily lead to better | "abstraction" (whatever that means). And whatever this all has to | do with "contextual adaptation" is to me anyone's guess. | | Highly alarming (but sadly, from experience, unsurprising) to see | such fuzzy position document from such an important funding | agency for AI. | GWBullshit wrote: | GWBullshit wrote: | GWBullshit wrote: | https://www.youtube.com/watch?v=yzC4hFK5P3g | GWBullshit wrote: | https://imgur.com/a/Lk6KYmw | GWBullshit wrote: | https://www.youtube.com/watch?v=KO_3Qgib6RQ | | "When you got stuff teuxdeux" | | https://tenor.com/view/super-milk-chan-anime-adult-swim- | gif-... | itsmefaz wrote: | Nice | bigcat123 wrote: | [deleted] | Khelouiati wrote: | 2016 ?????? | ochicial wrote: | Here is the presentation in form of a blog post: | | https://machinelearning.technicacuriosa.com/2017/03/19/a-dar... | jll29 wrote: | It's good to see a main funding agency's perspective. | | As a researcher, I like their non-hype way of defining AI as | "programmed ability", which is accurate and realistic -- also | puts AI further apart from real intelligence, which means | unanticipated activities. | | I would like to know more what they see as "abstracting", from | their perspective. | | We haven't got much further in our scientific understanding of | intelligence - if you bought a psychology text book today and ten | years ago there wouldn't be much of a breakthrough change | detectable in terms of modeling cognition. And as impressive as | some computer science AI models perform certain tasks, I haven't | been taken by surprise by them asking me a question out of the | blue, which is one of my personal litmus tests for intelligence. | Khelouiati wrote: | 2016 ????? | Animats wrote: | "Contextual adaptation" is what they want, but that doesn't mean | it's coming in the near future. However, this does mean that | funding for research on it will be available. | | As I've said for years, the big lack in AI is in the "common | sense" and unstructured manipulation area. Nobody can build | something with squirrel levels of manipulation and agility, even | in simulation. Robot manipulation in unstructured situations is | still very poor. The people trying to simulate C. elegans at the | neuron level can't get that to work, despite a full wiring | diagram and years of effort. | | Something very low level is not understood. There's a Nobel Prize | waiting for whomever figures that out. | hans1729 wrote: | > Nobody can build something with squirrel levels of | manipulation and agility, even in simulation. | | Isn't that what alpha go or the StarCraft league are? Organic | strategies in well-defined contexts (action options of the | squirrel at Tn)? "Squirrel" is a nice reference frame. | TaylorAlexander wrote: | Manipulation in the sense of being able to physically pick | things up and manipulate them. Which is a difficult problem. | StarCraft is moving a mouse pointer and clicking. | davidmanheim wrote: | No - those systems simulate "control" at the level of giving | commands, not actual motor control. So practically, current | AI can win at Go and play at superhuman levels, but still | cannot drive a car as well as most adults. | zardo wrote: | You can sit down for a game of Go or StarCraft against an | AI, and it will wipe the floor with you. | | But if you want it control a robot that's going to bring | out a pot of tea while you play, you'll be wiping the | floor. | stuckkeys wrote: | This made me giggle like a dumbass. Thanks. I participate | on the SC2 AI community. It is a-lot of fun. I use Python | and CPP for my ML. The game matches are so unpredictable | which makes the project questionable because the AI | indeed smashes any opponent. | digitcatphd wrote: | Well said | hiddencost wrote: | 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. | gibsonf1 wrote: | 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 | almost never seen a driver in those cars not actively steering | it. | akomtu wrote: | None of those self-driving MLs have a virtual world model in | their "head", right? They just react to the latest video | frame. If so, it's not even a fish level intelligence, it's | more like a house plant. | readhn wrote: | cool stuff. thanks for sharing! | MaxMoney wrote: | Ziggy_Zaggy wrote: | Very thought-provoking. | mooreds wrote: | Nice high level overview of the three waves of AI (two have | happened, the "Contextual adaptation" wave is yet to occur). | Includes examples and successes and failures. ("Young man holding | a baseball bat", indeed :) ). | | "Systems construct contextual explanatory models for classes of | real world phenomena" is the next goal. That is, understanding + | being able to describe the reasoning for the understanding. | | No technical depth, really, but lots of words to google if you | want to learn more. | davidmanheim wrote: | People may want to see the appendix to our RAND report on areas | related to DARPA's focus, for more depth on the relevant uses | of automation, ML, and AI | -https://www.rand.org/pubs/research_reports/RR2489.html ___________________________________________________________________ (page generated 2022-03-19 23:00 UTC)