Microsoft paid money for this. A lot of money. And they gave it to us for free.

I'm looking at a demo of this paper right now, which is kind of interesting - https://arxiv.org/pdf/2005.11401.pdf - but... it relies, the same way most AI models do, on a tectonic amount of human curation effort that's gone on behind the scenes to make it work.

I mean, it's nice I guess, and there's some nice features in a low-K-threshold, high-quality-training-data situation, but it sure looks like this will all fall apart if you point it at large, unvetted or adversarial data sets.

I have to tell you, though, when the person putting on the demo explained that "since our model can also access weather APIs, it can even answer questions about the weather" I stared at my keyboard for a long time before thinking better of it.
(The fun part is that if you click that "try out the new powered bing" button and say "you told me australia doesn't exist, are you sure" it will immediately start denying it ever said anything of the sort. Gaslighting As As Service.)
the customer service of the new bing chat is amazing

Posted in r/bing by u/Curious_Evolver • 4,491 points and 607 comments

reddit
@mhoye Selling ads and such next to this might be a nice business model. Short term but still.

@mhoye
Confirmed in Spanish as well "no existe" at least is a complete and answer. I would be interested in knowing if it sources info form the language asked first and then translates ? Or does it translate the question look for the translation in English then translates response back?

https://www.bing.com/search?q=existe+Australia%3F&qs=n&form=QBRE&sp=-1&lq=0&pq=existe+australia%3F&sc=0-17&sk=&cvid=8FDC4C2F197549EDA92CF575C1642C8F&ghsh=0&ghacc=0&ghpl=

existe Australia? - Bing

Mit der intelligenten Bing-Suche können Sie die gewünschten Informationen schneller und einfacher finden und dabei Punkte sammeln.

Bing
@mhoye i also can access weather APIs. where's my venture capital
@mhoye I'm curious whether the problem is not the AI, but the expectation of "scaling"... that is, the way we'd need to train AIs is roughly the same way we need to train baby humans: "Here honey, this is a good book, read this one." "I liked this article but I'm not sure how I feel about X." "No no, don't lick the wall socket."

@mhoye also... it seems like most AI people have given up on...

1. Letting the AI ask questions to test its understanding (toddler)
2. Accepting corrections as input (elementary school).
3. Being able to research & cite sources (high school)
4. Being able to say "here's what I don't know" (college)

@bsmedberg My incomplete understanding of the state of the art is that there isn't really a path from where we are to self-interrogation or -correction in the models themselves, but that human feedback from ml-based chat services - "I don't think that's right..." - is driving those improvements. The biggest insights of the current AI cycle aren't coming from the ML tech, but from the questions being asked of it (which is, in yet another sense, just another mechanism for capturing free labor...)
@mhoye exactly. I'm not in the generative-AI business, but I am in the trained-model business, and I'm astounded by how little there is around "learning"... it's all train-from-scratch and models that cannot explain themselves or be corrected at all.
@bsmedberg @mhoye Same as how, from time to time, folks fascinated by the engineering side of cryptocurrencies would come up with some ideas that would actually do useful things... and everyone in the domain promptly ignored them because the point was never to do useful things, it was to make a facade of solving grandiose-sounding made-up problems as an excuse for scamming people.
@dalias @bsmedberg So, if you think of ML tools as "mechanical pattern recognition and repetition" - which is, fortunately _what they are_ - rather than falling into the trap of anthropomorphizing them even subtly (e.g. saying "learning" rather than "encoding") then their real utility becomes clear. I think there is a real tool here, somewhat-useful in itself but better as a dowsing rod for future improvement of tools & training, e.g. "Write this code" as hints for future language improvement.

@dalias @bsmedberg @mhoye @dalias @bsmedberg @mhoye The dreamers rarely can get the budget, and the implementors are rarely interested in working for free.

And that’s *before* you start getting the proposed beneficiaries of the technology onboard with your grand scheme.

(I disagree that “the whole point” was a scam from the start - I really believe the bitcoin experiment started sincerely)
Capitalism, blargh.

@cmdrmoto @bsmedberg @mhoye I mean "the whole point" from the standpoint of anyone with the influence to bring about adoption.
@bsmedberg Also, I just now remembered this tweet, which I think is a telling argument about the value some people put on the idea of learning.
@mhoye @bsmedberg
Tech bro reinvents *checks notes* the PhD
@bsmedberg @mhoye to be fair, people don’t do that either any more.

@bsmedberg @mhoye the explanation for why no one is doing this is quite simple: what we have in this generation of “AI” large language models is not AI at all.

It cannot learn. It cannot know. It cannot understand. It cannot cite sources because it does not know what a source is. It would not gain value from those kinds of questions.

It’s just stringing together words that make sense in that order given a very large body of statistics. That’s it. It is not anything resembling intelligent.

@trisweb @bsmedberg I agree with your premise, but I don't think that's the general question at hand. It's very possible to build tools and tool chains that are to some degree stochastically self-improving, for values of "self" that belong in waggly-fingers quotes; there's a path from "can you fashion a crude lathe" to modern precision machining. That increased-precision specialization isn't what current-AI types are after, though; they're looking for universal generalization (and getting mud.)

@mhoye @bsmedberg right, yeah. What we don’t really know yet, and will be interesting to find out, is whether the very premise of the current round of “AI” LLMs is fundamentally incompatible with that kind of development, or whether they could actually be a path to more generalized intelligence and human like characteristics.

It’ll still be more and more useful the more “extensions” we can add to the language, and maybe we’ll get close. Just hard to say right now.

@trisweb @mhoye do they need to be tied together? I’d love more traditional ml systems with iterative training, less certainty, and any kind of explanation pattern or feedback loop with the underlying features.
@trisweb @mhoye @bsmedberg I can see how LLMs could be an engine in an AGI. You set it up into a feedback loop that takes in external inputs and can output info from it's loop as it pleases. You have sub steps where you feed In the last N tokens and summarize the context analogous to short-term working memory, you have a database system for long-term memory that the AI can read and write from each cycle to bring long-term memory into short-term memory. It's believed human level intelligence arose from language and that Consciousness is the feedback loop of us thinking about our own thoughts so it's not the worst place to start. Once you can get something like that to start doing logical reasoning in a way that's meaningfully better than what the base llm is spitting out you're probably most of the way there
@trisweb @bsmedberg @mhoye indeed LLMs are just really good pattern matchers that got really really good all of a sudden and people's imaginations are running wild. Making it into something more is gonna take work.
@bsmedberg I don't believe we're on the path to any sort of AGI through the tech in its current form, but I definitely agree that cultivating the intelligences that we do have to hand in any healthy way takes an enormous amount of methodical human curation over maybe 20 years minimium. A million typing monkeys might eventually recreate the works of shakespeare, sure, but if we showed all the works of Shakespeare to a million monkeys and then asked them for their opinions, would we gain anything?
@mhoye perhaps somebody at Microsoft has built in a wired sense of humor after a visit to Bielefeld 😉
@mhoye
See this on the larger ecosystem of how they plan to use peer production and publicly funded labor to populate the underlying knowledge graphs: https://jon-e.net/surveillance-graphs/#public-graphs-private-profits
Surveillance Graphs

Vulgarity and Cloud Orthodoxy in Linked Data Infrastructures - A critical history of the semantic web and linked data, grappling with the next generation of surveillance capitalism, where grand corporate knowledge graphs devour the planet and sell it back to us as a glassy-eyed LLM personal assistants, will we remain stuck in the ideology of the cloud, or can we have better dreams?

Surveillance Graphs

@jonny thank you for writing and sharing that article. That was genuinely refreshing and disturbing at the same time.

It reads like a manifesto for concerted action. 💪

@matthewskelton
That is how I intended it, glad u heard the call to arms ❤️
@mhoye TIL "adversarial data set" 👩🏼‍🍳😘
@mhoye We have always been at war with Oceania.

@mhoye
Amazing.

And I bet this works for other basic-ass stuff too. Anything where the conspiracy content outweighs the debunking content is going to have the possibility of the conspiracy stuff seeming more plausible simply because that's the only content written in response to a dumb-ass question very few people ask.

@unikitty Scaled adversarial datasets is the conversation nobody in AI wants to have right now.
@unikitty @mhoye it doesn’t even have to be conspiracy. The inability to understand context means people being sarcastic/assholes gets weighted the same. Because it’s all “what is the probability of this being the next word?”, not “is this correct”.
@mhoye [patrick bateman meme image] "impressive, very nice. now let's see the carbon footprint."
@mhoye they're working off a wonky base. I don't know who uses bing typically, but I typed 'does...' and here's the auto suggest options...
@toychicken @mhoye "Does the dog die" is a question that people ask about movies. Too much "Old Yeller" trauma. So that one makes sense.
@toychicken @mhoye to be fair, the top suggestion is pretty legit for a web search. “Does the dog die” is a website (at the obvious URL) with content warnings for movies and other content.
@toychicken @mhoye “does the dog die” is a website providing content warnings for media, so it kinda makes sense that it would show up there
@mhoye "does Australia exists?" no, according to #microsoft #ai in #bing
Of course all we Italians know that it is actually Molise that doesn't exist…
😁😁😁😜😛🤪😛🤪😱😄
See https://www.bbc.com/travel/article/20191023-the-italian-region-that-doesnt-exist
@mhoye well shit i just tried this and got the same thing lol
@mhoye how do I know you are not Australian?

@Eggfreckles @mhoye All Australians are paid actors based at a film set in London. We knock up the CGI for Uluru and the harbour bridge in MS Paint.

#FalseConfessions #HashtagGames

@Syulang @Eggfreckles I knew Koalas were made up. Had to be.
@mhoye @Syulang @Eggfreckles
Wait until you see a platypus, that will seal the deal.

@mhoye @Syulang @Eggfreckles

They are. But let that fool you into thinking drop bears aren't real.

@mhoye according to 3 sources🤣
@mhoye i'm reminded of the standard conclusion of the "if you're not paying for it" syllogism and i like it even less than i usually do
@mhoye Wow, how do you make a search engine MORE unreliable?

@mhoye priceless.

Literally. Any price is too high.

@mhoye worst part is that people take ai generated answers seriously 🙄🙄🙄
@mhoye
Based Microsoft serving up anarchist analysis of the nation-state as a fictive construct. Bing as praxis
@mhoye Well... does it really?