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IBM is not doing "cognitive computing" with Watson (2016)

904 点作者 dirtyaura大约 7 年前

61 条评论

ChuckMcM大约 7 年前
The author&#x27;s particular gripe is that the Watson advertisements showing someone sitting down and talking to &quot;Watson.&quot; They bother me as well (and did so when I was working at IBM in the Watson group) because they portray a capability that nothing in IBM can provide. Nobody can provide it (again to the author&#x27;s point) because dialog systems (those which interact with a user through conversational speech) don&#x27;t exist out side specific, tightly constrained, decision trees (like voice mail or customer support prompts).<p>If SpaceX were to advertise like that, they would have famous people sitting in their living room, <i>on mars</i>, and talking about what they liked about the Martian way of life. In that case I believe that most people would understand that SpaceX wasn&#x27;t already hosting people on Mars.<p>Unfortunately many, many people think that talking to your computer in actually already possible, they just haven&#x27;t experienced it yet. Not sure how we fix that.
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laichzeit0大约 7 年前
The most ingenious trick that the IBM marketing department pulled was to get non-technical (and probably even technical people, judging by this thread) to think that Watson is some kind of singular thing. Like that it’s a single big neural network with different APIs on it, or something. I honestly think that’s what most people think Watson refers to.<p>Watson is like Google Cloud Platform. It’s just a name for a platform with a bunch of technologies.<p>E.g. Watson Natural Language Understanding was previously AlchemyLanguage. It was just rebranded.<p>It’s very clever though, I’ll give them that. Use a human name so it has all the anthropomorphic connotations and let people think it’s some kind of AI learning things.
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clavalle大约 7 年前
I briefly worked with a Watson team on a cool idea to map a person&#x27;s &#x27;knowledge space&#x27; (or probable knowledge space given their background) against Watson&#x27;s knowledge space and guide them to relevant learning materials and journal articles and the like.<p>The idea was to save people time so they aren&#x27;t rehashing stuff they know down pat or jumping ahead into material they cannot understand but, instead, find that next step into what they almost know. The idea from there would be to let them specify where they want to go and guide them, step by step, exposure by exposure, to that summit.<p>In a few days, it turned into Just Another News Article Recommendation Engine based on interest and similar profiles with other clients. Yawn.
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jacquesm大约 7 年前
Watson is the IBM marketing department going mad about ways in which IBM can continue to remain relevant in a world that increasingly doesn&#x27;t care about what hardware a particular computer program runs on.<p>If there is going to be a &#x27;second AI winter&#x27; I fully expect Watson and other such efforts to be the cause.
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throwawayWatson大约 7 年前
I used to work for IBM, but a few years ago.<p>One thing about Watson that I remember is this presentation by a <i>very</i> senior guy. He had just come back from the US and was presenting what he learned there about Watson Healthcare (IIRC, that&#x27;s what it was called), which I assumed was a division of the Watson team that was focused on cancer and stuff like that.<p>I&#x27;m paraphrasing, but during the presentation he said something like: &quot;The project was not originally called Watson Healthcare, it was called X (I can&#x27;t remember exactly), but potential customers were like &#x27;No, no, leave X, we want Watson&#x27;, so we had to change the name to Watson Healthcare for the sake of our customers. Watson Healthcare actually doesn&#x27;t have anything to do with Watson.&quot;<p>I couldn&#x27;t believe, at the time, how much respect I lost for IBM in about 20s. First of all, he thought we&#x27;re idiots. You have to be brain dead in order to believe that he renamed X to Watson Healthcare in order to help customers. They just wanted to ride the hype train of the Watson brand and were lying to everybody about it.
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nartz大约 7 年前
The way IBM talks about it is completely bs. However, this round of AI is definitely better than the last one. Specifically, whats different this time around is that previously, expert based systems and many machine learning techniques require that you specifically hand code things like:<p>1. Parsing and providing the input dataset into &#x27;features&#x27;<p>2. Hand coding the logic and rules for many different cases (Expert systems)<p>Now, it has become easier to train a model such as a neural net where you can provide much &#x27;rawer&#x27; data; similarly you just provide it a &#x27;goal&#x27; in the form of a loss function which it tries to optimize over the dataset.<p>By &#x27;true&#x27; AI, I think most people mean &#x27;how a human learns&#x27; - which is actually a very biased thing, since we humans have goals of things like the need to survive, etc. I do believe it would be possible to encode these into goals, although doing that properly and more generically seems a little bit in the future.
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xemdetia大约 7 年前
Having had some level of access to inside IBM the whole cognitive initiative has just been this bizarre self-feeding marketing sales escalation where the real engineering has to &#x27;bring the cognitive&#x27; in the most Dilbert pointy-haired boss sort of way.
glup大约 7 年前
Dan Klein shared in a graduate NLP class at Berkeley a few years back a AAAI article on Watson back in 2010 (when it actually was a distinct technology stack and not just marketing nonsense). At that time IBM was focused on question answering in Jeopardy. It was pretty clearly incremental rather than novel— Dan used the example to show that 1) ensemble techniques can be effective if done properly and 2) hyper parameters matter, a lot 3) there&#x27;s human intelligence and then there&#x27;s Ken Jennings intelligence: looking at precision and percent answered, he&#x27;s in his own separate league. It made me think a lot about individual differences in terms of declarative knowledge.<p><a href="https:&#x2F;&#x2F;www.aaai.org&#x2F;Magazine&#x2F;Watson&#x2F;watson.php" rel="nofollow">https:&#x2F;&#x2F;www.aaai.org&#x2F;Magazine&#x2F;Watson&#x2F;watson.php</a>
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seibelj大约 7 年前
&quot;Machine learning&quot; was a pretty good buzz word, but &quot;Artificial Intelligence&quot; is even better. And in a way, ML is part of AI so it isn&#x27;t really lying.<p>IBM tries to sell into c-suites of companies that are less technically-adept than the average HN reader. Their marketing seems to be pretty effective, at least in getting proof of concept projects signed with big names.<p>Watson is simply IBM&#x27;s ML product, but they call it AI and wrap it in marketing for all the reasons every AI startup does the same thing.
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chomp大约 7 年前
Yep, matches my experience. We invited IBM to our company to pitch Watson, there was very little that was impressive about it. &quot;Watson&quot; is mostly just a coding services integration team, who will assign a team to add some basic NLP to your web services. Someone with a free weekend and a book on TensorFlow or NLTK can replicate most of what the IBM sales engineers pitch for Watson.
abhgh大约 7 年前
Oh wow, Roger Schank [1]! Haven&#x27;t heard that name in a while - he was quite famous in the early days of AI. I wonder if he has figured out a good way to marry ML to his theory of Conceptual Dependency (CD) [2] - because that would could be ground-breaking for hard NLP problems.<p>Interestingly I started reading the article without paying much attention to who the author is. A few lines in I began to wonder if this is going to be unproductive rant, and if the author has heard of things like CD etc ... It became funny right about then because that&#x27;s also when I happened to glance at the URL and saw Schanks name.<p>[1] <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Roger_Schank" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Roger_Schank</a><p>[2] <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Conceptual_dependency_theory" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Conceptual_dependency_theory</a>
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brundolf大约 7 年前
I&#x27;d like to make a plug for my company (<a href="http:&#x2F;&#x2F;www.cyc.com" rel="nofollow">http:&#x2F;&#x2F;www.cyc.com</a>) whose &quot;AI&quot; is not machine-learning based, does actual cognition and generalized symbolic reasoning, and lived through the AI winter of the 80s. We&#x27;ve gotten some contracts as a direct result of companies being disenchanted with Watson&#x27;s capabilities.
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samfriedman大约 7 年前
OT from the headline, but I take issue with the author&#x27;s claim that Bob Dylan&#x27;s work doesn&#x27;t relate to the theme &quot;love fades&quot;. Dylan has had a vast career beyond his protest song days, and I&#x27;d argue that one of his best albums, &quot;Blood on the Tracks&quot; would be accurately summed up as &quot;love fades&quot;.
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zerotolerance大约 7 年前
Dear engineers, merit is useless when you&#x27;re trying to sell something. Authority is king, and people remember emotion and hyperbole. Marketing and sales is almost always about representing authority regardless of merit. The only thing that matters after a Watson sale is if Watson can help solve the problems the customers have.
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Dryken大约 7 年前
Anyway none of the company that pretend doing AI are actually doing AI. AI nowadays is pure branding bullshit.
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fixermark大约 7 年前
&quot;This was about promoting expert systems. Where are they now?&quot;<p>In 2017, Intuit, Inc., owners of Quicken, posted revenue of about $5 billion.<p>Not too shabby.
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InTheArena大约 7 年前
It&#x27;s a pretty open secret in the community that what IBM pitches that Watson can do, versus what it (or any state of the art system) really does is pretty much bunk. This author calls it fraud, but a more charitable interpretation would be extreme marketing. We&#x27;ve seen a lot of failures with Watson, particularly in the medical space - MD Anderson&#x27;s Cancer work for example (<a href="https:&#x2F;&#x2F;www.forbes.com&#x2F;sites&#x2F;matthewherper&#x2F;2017&#x2F;02&#x2F;19&#x2F;md-anderson-benches-ibm-watson-in-setback-for-artificial-intelligence-in-medicine&#x2F;#2533023e3774" rel="nofollow">https:&#x2F;&#x2F;www.forbes.com&#x2F;sites&#x2F;matthewherper&#x2F;2017&#x2F;02&#x2F;19&#x2F;md-and...</a>) where MD Anderson payed around $40 million (on a original contract deal somewhere near $4 million) and eventually abandoned it.<p>I do think Watson may be a fake it until you make it thing - in particular, they still have access to a incredible amount of data, and data determines destiny on a lot of AI.
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zmmmmm大约 7 年前
Had IBM sales people present on Watson as a security solution recently. The stench of BS was so bad I nearly had to leave the room. It wouldn&#x27;t bother me if they kept things generic, but they deliberately sprinkle the presentations with specific terms referencing hyped technology (deep learning, etc), with the clear objective of deceiving the audience into thinking they are using those technologies when they clearly aren&#x27;t. It was unethical IMHO.
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raincom大约 7 年前
Chomsky calls it a sophisticated form of computational behaviorism. Just like the research program of behaviorism died out, this will eventually too. There are other respectable criticisms of AI, like Hubert Dreyfus&#x27; &#x27;What computers can&#x27;t do&#x27;.<p>Neither Chomsky nor Dreyfus claimed that machine learning and&#x2F;or AI won&#x27;t solve any problems, but rather that the kind of problems these solve are not relevant in terms of aspiring to be humans.
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wintorez大约 7 年前
I&#x27;m no expert in the field of AI or Machine Learning, so I have a question for the experts here? Has there been any theoretical breakthrough in the AI in the recent years? I knew we had neural networks and different types of classifiers, etc. for more than a few of decades now, so apart from better marketing, has there been a significant breakthrough that explains this sudden surge in the interest in AI?
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fallingfrog大约 7 年前
I saw a demo of Watson a couple years ago at a trade show and was not super impressed. Looked like a glorified Markov chain to me.
EastLondonCoder大约 7 年前
It’s an unusually beautiful written article, well worth the read just for the prose. As for the main sentiment that we have a new AI winter, I’m not so sure. My lay person view is that we see quite a lot of commercial success with these systems so the current wave will be well funded for at least a decade.
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crsv大约 7 年前
I feel like they&#x27;ve moved on from their lies about Watson&#x27;s capabilities to lies about their capabilities with blockchain technology.
plaidfuji大约 7 年前
&gt; People learn from conversation and Google can’t have one. It can pretend to have one using Siri but really those conversations tend to get tiresome when you are past asking about where to eat.<p>At first blush he sounds like my technologically semi-literate grandma who would definitely conflate Siri and Google as being part of the same grand internet program. I had to read this twice to understand that in saying &quot;it can pretend to have one using Siri&quot;, he meant that asking Siri a question sometimes redirects to a Google search, but wrote it in a way that personified Google as the actor with intent in that transaction. What an odd and paradigm-breaking way to look at that.
kevinSuttle大约 7 年前
The problem is that even internally, there is this notion of &quot;sprinkling a little Watson to do the hard jobs&quot; and then &#x27;poof&#x27;: problem solved. Marketing reflects internally, too.
eeks大约 7 年前
Can an mod add the date to the title? This piece is from 2015.
baxtr大约 7 年前
AI is definitely starting to enter the “through of disillusionment” in its hype cycle.
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jonjojr大约 7 年前
I would only refer to Episode 4-5 of Silicon Valley in Season 5.<p>This will be the mistake we will make when we introduce a technology we think it is smart enough to make decision for us and turns out all it does is read words faster than us and interpret them literally.<p>Even with the closing statement of &quot;AI winter is coming soon.&quot; I can see Watson having a problem understanding that statement even with context.
sosuke大约 7 年前
Something feels wrong about the assessment of the second block of text being written by a human.<p>I feel some conflict in my head that someone would talk about Bob Dylan as &quot;overstepping&quot; a claim about his prominence and then conceding that he does belong in a &quot;Top 10 Bob Dylan Protest Songs list.&quot; Of course he belongs in a Bob Dylan list he is Bob Dylan.<p>Does that sound human?
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bobthechef大约 7 年前
Watson&#x27;s marketing is obnoxious, but it&#x27;s not just Watson. There is plenty of bullshit, ignorance, and pseudo-intellectualism to go around. Mind you, many of the technical fruits of AI itself, properly understood, are not bullshit (the name &quot;AI&quot; is misleading IMO; I wouldn&#x27;t be able to tell you what distinguishes AI from non-AI because it seems largely a matter of convention rather than a substantive difference). The field offers plenty of useful techniques for mechanizing things people have had to do preiously. However, the very idea of a &quot;thinking computer&quot; is unjustifiable and superstitious. There&#x27;s too much sloppy, superficial thinking.<p>The author of the article mentions concepts and indicates a distinction between them and word counting. Certainly, there is a difference between word counting and conceptualization, and it is patently obvious computers don&#x27;t do the latter. But it&#x27;s worse than that. Technically, computers aren&#x27;t even counting words. They aren&#x27;t even counting, nor do they have any concept of a word (we count words by first knowing what it is that we should be counting, i.e., words). What we call word counting when a computer does it is a process which produces, only incidentally, a final machine configuation that, if read by a human being, corresponds to a number. The algorithm is a proxy for actual counting. It is a process produced by thinking humans to produce an effect that can consistently be interpreted as the number of words (tokens) in a string. That&#x27;s not thinking. There is zero semantic content and zero comprehension in that process, and no number of tortured metaphors or twisted definitions can change that. AI, as it becomes more sophisticated, is at best a composition of processes of the same essential nature. No degree of composition -- no matter how sophisticated or complex -- magically produces thought anymore than taking sums of ever more composed and expansive sequences of integers ever gets you the square root of two. It&#x27;s not a mystery.
jimrandomh大约 7 年前
IBM&#x27;s customers probably understand that Watson (the jeopardy-playing bot) isn&#x27;t really relevant, and that what they&#x27;re buying isn&#x27;t a pre-written software package so much as software consulting services. But there&#x27;s still a serious problem, which is that a customer of Watson would reasonably believe that they&#x27;re getting the team of engineers that solved Jeopardy. In reality there is no overlap whatsoever in personnel between Watson-the-PR-project and Watson-the-thing-you-hire.
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mwexler大约 7 年前
I always feel that this is one step away from that famous quote, &quot;The greatest trick the Devil ever pulled was convincing the world he didn’t exist,&quot; attributed to various (<a href="https:&#x2F;&#x2F;quoteinvestigator.com&#x2F;2018&#x2F;03&#x2F;20&#x2F;devil&#x2F;" rel="nofollow">https:&#x2F;&#x2F;quoteinvestigator.com&#x2F;2018&#x2F;03&#x2F;20&#x2F;devil&#x2F;</a>). In this case, the greatest trick is convincing that it does exist... and maybe is the harder one.
sriku大约 7 年前
I don&#x27;t have gripes with this marketing approach and I read it more as &quot;expect to be surprised by what is possible&quot; rather than harp on what isn&#x27;t .. at least not yet. For a comparison, it is like apple branding their display tech as &quot;retina display&quot; to communicate the intention (you can&#x27;t tell pixels apart), possibilities (you can now use any font) and quality rather than any claims about mimicking the eye.
Zigurd大约 7 年前
Start by asking &quot;What is Watson for?&quot;<p>Watson is for helping decisions at large corporate customers: The CEO has heard of Watson. He saw it on a screen in the VIP tent at the golf tournament, and thinks it&#x27;s neat. The CIO feels safe with &quot;Watson&quot; in an RFP response from IBM because the CEO thinks it&#x27;s neat. IBM is happy with this pettifoggery because it keeps the SOW vague and open to maximizing revenue from the project.<p>It&#x27;s not about AI.
mathattack大约 7 年前
“These guys are a fraud. Come look a thing my online Academy. Call for the price.”<p>Roger Schank used to be a serious researcher. Also tied to consulting firms like Accenture.
thomasedwards大约 7 年前
I think the biggest concern is that the general public outside of this industry think that AI and machine learning is Hey Google not understanding them and their bank working out you’ve run out of money – which they already know. When AI _actually_ arrives, they’ll be bored, ignore it, and then, well, I guess it’ll know and take over the world. We’re all doomed.
urmish大约 7 年前
&gt;A point of view helps too. What is Watson’s view on ISIS for example?<p>&gt;Dumb question? Actual thinking entities have a point of view about ISIS. Dogs don’t but Watson isn&#x27;t as smart as a dog either. (The dog knows how to get my attention for example.)<p>Ouch. But at the same time, for something that didn&#x27;t grab his attention he sure had a lot of words to say about it.
braindongle大约 7 年前
&gt;...counting words, which is what data analytics and machine learning are really all about<p>The piece is welcome anti-hype, but, what? How can a true expert in the field say something like this? Or, maybe I should tell my colleague who is working on ML for diagnostic radiology to think of voxels as, uh, words?
jiveturkey大约 7 年前
&gt; <i>I started a company called Cognitive Systems in 1981.</i><p>Ahh. So just from the article, his gripe is of the “begs the question” sort — he’s not pleased with the evolution of idiom. Since he was doing “real AI” back then, who are these frauds to claim they are doing AI?<p>His point may or may not be valid, but his specific argument is quite weak. He notes that even <i>a person</i>, an actual intelligence, wouldn’t know what Dylan was singing about without context. He goes on to presume that Watson doesn’t have context, but who’s to say? Watson could certainly read all the articles about Dylan that he so helpfully cites, and come to “understand” the songs. And maybe Watson has.<p>If you follow the links to his academy, you divine a bit more of the motivation.<p>His software development course provides “a unique automated mentor, employing natural-language processing technology derived from our decades of artificial intelligence research”. He is desperate to stay away from calling it actual AI, yet can’t resist implying that it is. This is probably most irksome to him.<p>My advice: sometimes you have to join ‘em.
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intrasight大约 7 年前
I remember seeing &quot;Watson&quot; mentioned in the news like five years ago, but besides a couple HN threads, I&#x27;ve not seen it mentioned since then. Am I missing something (besides TV, which I don&#x27;t watch)?
davidsawyer大约 7 年前
Here&#x27;s a great video that covers &quot;AI winters&quot; for those who are curious: <a href="https:&#x2F;&#x2F;vimeo.com&#x2F;170189199" rel="nofollow">https:&#x2F;&#x2F;vimeo.com&#x2F;170189199</a>
tjpnz大约 7 年前
Isn&#x27;t it more or less common knowledge now that Watson is all marketing buzz? The Watson that IBM is selling CIOs on is a very different thing from what was seen on Jeopardy.
dang大约 7 年前
Discussed at the time: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=11751267" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=11751267</a>.
acobster大约 7 年前
We won&#x27;t know how to build machines that understand until we know what understanding actually <i>is</i> at a biological level. I&#x27;m not convinced that we do.
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dmccrevan大约 7 年前
Machine Learning in a lot of ways is legitimate, but its applications to a lot of NLP &#x2F; chat-bot technologies is far from cognitive computing.
daveheq大约 7 年前
&quot;People learn from conversation and Google can’t have one. It can pretend to have one using Siri&quot;... Google doesn&#x27;t use Siri.
theschreon大约 7 年前
&quot;Search is all well and good when we are counting words, which is what data analytics and machine learning are really all about.&quot;<p>There are machine learning models which go far beyond counting words, for example see <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1502.01710" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1502.01710</a>
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wizardhat大约 7 年前
I do agree that Watson seems oversold, but the evidence in this article (Watson&#x27;s shallow opinion of Bob Dylan, compared to the author&#x27;s opinion of Bob Dylan) seems kind of weak. I was hoping for some insider information on the implementation of Watson, but unfortunately there is none.
jameslin大约 7 年前
The day AI understands my dirty jokes, it&#x27;s the day I call it cognitive.
gfnord大约 7 年前
It&#x27;s just advertising.
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dwighttk大约 7 年前
(2016)
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consultSKI大约 7 年前
Methinks voice will in fact win.
DoctorOetker大约 7 年前
Normally my comments are very sceptic, but this article is just spot on.<p>The problem is not only context or subtext, it is even worse from an entirely predictable standpoint:<p>Consider a large corpus of text (books, articles, ...).<p>1) Concepts that are WELL UNDERSTOOD BY HUMANS will not be explained by humans when they reference them: the word or concept &quot;pet&quot; (as a verb) will show up in many sentences refering to the petting of cats, dogs, horses,... and ML will correctly predict the conjunction of &quot;pet&quot; with any of these words in the sentence. It will even be able to train ML to confabulate realistic sentences in the sense of echolalia. Consider then the sentence:<p>&quot;The lady pets the cat&quot;<p>The computer will recognize that the presence of cat is not surprising (bingo!). The computer will have no idea that this probably involves one or more cycles of the lady&#x27;s hand <i>gently</i> pressing down on the fur belonging to the cat, then while still preessing down, moving the hand in the &#x27;natural direction of the hairs&#x27; (NOT the other way around) probably from closer to the head towards the tail, and probably lifting the hand before repeating the cycle so as to massage the cat or perhaps so as to remind the cat of its time as a kitten being licked by the mother cat.<p>No book or conversation in the corpus will give this detailed description exactly because humans expect each other to understand this.<p>2) Concepts that are POORLY UNDERSTOOD BY HUMANS will be vigorously (but often erroneously) explained by humans communicating to each other what they think is going on: endless texts about religion, sexuality, perpetuum mobiles, economy, ...<p>How do we even expect the computer to produce a sane result, even if it correctly guesses the context?<p>That said, I do believe relatively helpful natural language processors to be possible, but they will have to be vigorously trained by multiple human curators individually analyzing a sentence and trying to find (probably true) statements about what a sentence implies:<p>Starting again with:<p>&quot;The lady pets the cat&quot;<p>One curator might mention hands touching fur while moving.<p>Another curator might add that one can also conclude the hand probably presses down on the fur.<p>Yet another notes the sentence also implies the lady is still alive, for else she would not be able to pet.<p>The first curator now adds that the cat as well is probably alive, for else the lady would probably not want to pet the cat, since massaging is useless to a dead cat.<p>The third curator now mentions that the sentence implies one or more cycles of an individual pet stroke.<p>Etc...<p>As you can see this quickly becomes an expensive operation.<p>Now one might train an adversarial neural network to look at a sentence (or sentence with context) and a list of probable conclusions, to predict if the list of valid conclusions is complete or incomplete. And then only send the incomplete ones to humans?
itp大约 7 年前
What is the point of changing the headline of an article like this? The headline was an accurate summary of the contents (&quot;THE FRAUDULENT CLAIMS MADE BY IBM ABOUT WATSON AND AI&quot;). Maybe you agree, maybe you don&#x27;t. But the current headline is just wrong.<p>From the article:<p>&gt; I will say it clearly: Watson is a fraud. I am not saying that it can’t crunch words, and there may well be value in that to some people. But the ads are fraudulent.<p>That&#x27;s what this is about. Not &quot;Claims made by IBM about Watson and AI.&quot;
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megaman22大约 7 年前
Everything IBM says about Watson should be taken with a few tons of salt.<p>I don&#x27;t know how much I&#x27;m allowed to say, but they couldn&#x27;t even get it to work acceptably internally for some of the basic datamining and natural language processing that are among the things so highly touted in some of their TV advertising. This is with a gargantuan dataset compiled from years of relevant interactions to train on in the particular area of interest.
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gaius大约 7 年前
It’s not just sleazy advertising, the money IBM has taken from cancer research for snake oil is downright fraud in my book
mankash666大约 7 年前
Advertising != Peer reviewed publication. Drinking Coke doesn&#x27;t make you sexy and desirable, as suggested by their ads, just makes you gassy.<p>IBM is allowed some creative liberties in their mass-media advertising campaigns.
fwdpropaganda大约 7 年前
Question: how can the author know what Watson really is doing unless the author worked on Watson?<p>If you&#x27;re going to try and explain the above to me, don&#x27;t do it by explaining what Watson &quot;really&quot; is doing (unless you worked on Watson yourself). Explain exactly how you can tell the difference from the outside.<p>As far as I can tell all the author did was point out that Watson made a mistake (saying that Dylan&#x27;s songs is about love fading) and this is not enough, since humans make mistakes too.
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metabaudoom大约 7 年前
It&#x27;s not new! IBM does what it&#x27;s best at which is advertising.
deisner大约 7 年前
&quot;Recently they ran an ad featuring Bob Dylan which made laugh, or would have, if had made not me so angry.&quot; Wait, is Roger Schank an AI trying to convince humans that AIs are impotent and harmless? Pretty sneaky, Schank-bot.
chisleu大约 7 年前
I worked on data systems that fed weather data into Watson.<p>IBM&#x27;s technology, and IBM&#x27;s marketing are very different beasts. The marketing is somewhat trivial, but the reality of ML and the Watson data systems is incredible. They are pumping a huge amount of data into it and they have data scientists doing incredible things with the data already. It is the largest growing segment of the company (and maybe the only growing segment of the company.)<p>The marketing of AI, and the realities of ML are always going to be disconnected. Sure, you will likely just get an email that says routine maintenance has been ordered on your elevator, not a box in the corner that tells you in a sexy, clear, non-robotic voice. As for Bob Dylan&#x27;s songs... Christ. AI winter isn&#x27;t coming unless the term AI gets squashed and people start calling it ML. This article is pretty FUD.
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