Mark Cuban says studying philosophy may soon be worth more than computer science | Hacker News Reader

Mark Cuban says studying philosophy may soon be worth more than computer science

cnbc.com

97 pointsbayareabronco84 comments

His argument seems to be that advances in AI will mean that software development itself is soon automated away, in which case a CS degree will be useless. Then, he advocates studying philosophy because this future will need "big picture" thinkers.

I don't know how much substance there is to discuss here. It pretty much hinges on how you think AI will develop over the coming decades. I am skeptical that software development will be automated away anytime soon, especially since the actual writing of code is just one part of the job. I recall an Economist article several years back arguing that jobs are less automatable the more varied they are. For this reason custodians should be among the last to go, the logic being that a given custodian does so many different maintenance tasks that it would be impractical for a bot to replace them.

Software development seems similar. You're constantly pivoting between different and shifting problems. Most of the impressive AI demonstrations like image recognition or playing Go are really about getting good at a single well-defined task. We seem to be very far away from the kind of adaptibility required to automate away developers (though perhaps the CS degree will devalue as more people pursue it).

It's also unclear to me how exactly philosophy is better preparation. My own experience with academic philosophy is limited, but from what I can tell its main selling point is that it teaches you to examine things in a critical way that's very aware of the argument in question, the assumptions made, and the structure the argument sits in. My experience in math (which I pursued much more) was similar, and I imagine that most good CS programs teach similar skills?

"Study philosophy" here seems like a catchy (and perhaps poor) proxy for "make sure you can reason about stuff outside a narrow programming bubble". But that's always been good advice.

> from what I can tell its main selling point is that it teaches you to examine things in a critical way that's very aware of the argument in question, the assumptions made, and the structure the argument sits in.

That's definitely a big (and important) part of it. There's an unfortunate dearth of critical thinking and examination of ideas these days. I have theories as to why that is, but it's out of scope for this discussion so I will abstain.

Another big part of philosophy as well is to familiarize the student with the big ideas with the hope that they can be further refined, to drive both the individual thinker forward, and hopefully humanity as a whole as well.

For example, I think a hugely valuable part of philosophy training is the study of ethics. So many people (software engineers and companies included) don't really stop to think about the ethics surrounding what they are doing. This is a mistake, IMHO. I highly recommend reading about and understanding Immanuel Kant's work in this area, especially his categorical imperative and hypothetical imperative. Comparing/contrasting that with Jon Stuart Mill's Utilitarianism, and conducting various thought experiments makes for a good time (you can tell I'm quite the partier :-D ).

> There's an unfortunate dearth of critical thinking and examination of ideas these days. I have theories as to why that is, but it's out of scope for this discussion so I will abstain.

As someone who sees the same things but has no theories, I for one would like to hear a few of yours.

I'm not the other poster, and this isn't my theory - but for people like Adorno or Hegel the go-to explanation for this phenomenon is basically that reasoning in our society is ends-rational. We're very good at considering ideas insofar as they relate to a goal - for instance, the geometry of transistors in relation to their performance. That's because we're a culture of employees - and in such a culture, you don't need to think about goals, just about means.

This kind of thought process is pretty toxic to critical thinking and examination of ideas, since the most central elements (our goals) are almost entirely unexamined - and we don't really include their examination in our education, since we're only interested in preparing children to be good 'problem solvers', or in other words, employees.

I feel like a majority of the regressive behavior Cuban sights emanates from existing sociology and philosophy programs at the university level...

Philosophy is great stuff, I've read my share. I've also got a few linear foot of questionable material on my bookshelf. The Carlos Castenada stuff is clearly bullshit and mostly there just as a cautionary tale. I can't make up my mind about Heidegger because I just don't understand his writing . . . he's either brilliant, or he's blowing smoke up the world's fundament; heck, maybe both.

One of my cow-orkers took a bunch of philosophy in college (I think he was at Stanford, in the mid 1970s). He said his course on logic spent a lot of time on DeMorgan's theorem. I don't know about other s/w engineers, but this is something that I use practically every day, usually without even thinking about it -- I don't even remember being taught it, I just sort of figured it out one day early in my career, while I was cleaning up some badly written conditionals.

Cuban's point about knowing philosophy (... which branch? who knows?) is still useful. But it's equally useful to have a wide background in other things than software, when you're writing software. I had a manager once who had a law degree and a Jesuit education, and he was formidable when it came to dealing with department politics and HR bullshit. Just about any value of X in the phrase, "I can write software and do X..." will do you well.

My computer engineering degree made us take courses in logic.

DeMorgans law was definitely a part of that.

It's also randomly useful in every day life to remember, "a implies b doesn't imply b implies a" and stuff like that.

Lol people should hear some of the debates me and my engineering friends have sometimes. It's interjected with all of this stuff.

My undergrad math department had a class on mathematical logic (set theory, Peano arithmetic) that was required to take higher level math classes. Wrote down some basic statements (conjunction, modus ponens, etc) and said if this didn’t seem fairly obvious you should reconsider your math major.

"It's also unclear to me how exactly philosophy is better preparation. My own experience with academic philosophy is limited, but from what I can tell its main selling point is that it teaches you to examine things in a critical way that's very aware of the argument in question, the assumptions made, and the structure the argument sits in."

This really depends on the kind of philosophy you study, which philosophers you're interested in, and how you engage with and react to what you learn.

Asking what you get from studying philosophy is a little like asking what you get from reading books. It really depends on which books you read, how you read them, who you are, what stage of your life you're in, etc. The same books might speak differently to different people, and even to the same person at another stage in their life.

The English-speaking world (and increasingly the rest of the world) is dominated by analytic philosophy, which is one lens, or perhaps a family of lenses, to view philosophy through. But there's also continental philosophy, ancient philosophy, Eastern philosophy/religion, Pragamatism, etc. Each of them brings something different to the table, and has the potential to transform the way you understand the world.

Sure, philosophy can help with critical thinking skills, but to limit it to that is to ignore the content of what one actually learns and engages with. At its best, it can't be reduced to just a bundle of skills, set of knowledge, or "selling point".

>AI will mean that software development itself is soon automated away

People don't seem to realize that while individual tasks are being automated away, we're not even remotely close to the ceiling on what we want programmed.

The farther it goes, the more we'll want to do with it.

"Oh did you get a chance to build that 3d engine this morning? I'm actually going to need it to simulate most of the physical objects San Diego today. For a thing. A report or whatever."

"No, there were a couple of issues. Might have to wait til tomorrow morning."

The custodian example is a good one to look at. We tend to think of the automation as a sort of Rosie the Robot coming in and doing all the things the custodian once did. That's probably not the way the janitor's job gets automated, though. Think of self-cleaning toilets and sinks, industrial Roombas mopping and vacuuming the halls, glass-cleaning robots moving from window to window, and a trash-collecting robot emptying the bins.

There's still the edge cases of course. Clogged toilets or adhesive gunk on the windows for example. But where a janitorial crew was required before, now just one janitor handles those while all the routine cleaning is automated by specialized tools.

Cuban may be good at marketing, but he has a very shallow grasp of tech in general. I remember his big solution to video piracy was to always release movies a super high resolution so people would have to download extremely large files. This "genius" never thought that pirates could just downsample the movie. If you go back you'll find much more of this quality "advice." I would think twice about whatever he has to say. He has lots of opinions but most are off the cuff without much thought.

Firstly, AI is currently massively overhyped and people are overestimating the progress we are making. What we are currently doing is curve fitting and searching on steroids enabled by the ever increasing availability of computing power, what we know about general intelligence hasn't changed much in a long time, at least as far as I know.

I won't rule out that we may build an AGI by just throwing enough computing power at it and simply simulating brains with enough fidelity but without actually understanding how it works, at least not at first, but I really don't see much - if any - progress towards building an AGI because we know what we have to do. Maybe the secret of general intelligence is just curve fitting and searching at massive scale and we fail to find the secret behind it because there is none, but we really don't know.

That of course doesn't mean that the recent developments are not interesting or don't have useful applications, they are just not as groundbreaking as often portrayed and we probably still have a rather long way to go.

With regards to big picture thinking and general problem solving ability, I don't think you are in a particularly bad spot as a software developer or hacker. Especially not if you are doing project work or frequently change jobs and regularly have to get familiar with new business domains. Also if your focus is more at the design and architecture end of the spectrum as compared to coming up with beautiful looking CSS.

But I would certainly agree that philosophers have some ways of thinking that are at least to some degree unlike what you find in software developers, but I can't really pin it down. I only know it exists because I am frequently somewhat surprised by the thoughts and ideas that come up in philosophy and they seem not like things I would think of. Maybe it is just the level to which philosophers dissect things and which goes beyond what is required in software development but I really can't tell for sure.

I think another aspect of the current boom in AI is that it is model-less curve fitting (to use your description), and that this is both revolutionary and regressive. On the one hand machine learning algorithms let us solve fuzzy problems that we don't necessarily understand deeply, but the trade off is that those solutions don't give us any real fundamental insight into the nature of the problem the same way e.g. discovering new physics would. So we are now able to solve all these problems that we couldn't before, but in a sense these solutions are unfulfilling because they reveal little else.

I tend to think that we'll continue to be stuck for a while, but that a fundamental breakthrough will usher in something approaching AGI. And, I don't think it will be along the lines of the relatively brute force current approaches.

So, when it finally happens, it'll move fast.

“Firstly, AI is currently massively overhyped and people are overestimating the progress we are making.“

And I love AI! What programmer doesn’t?

But I completely agree and I think it’s really difficult for people to understand why this it true!

For some reason, despite him being extremely well-accomplished, I just can't take any advice he gives seriously, compared to Bill Gates or even Ray Dalio.

Mark Cuban got supremely lucky selling broadcast.com to Yahoo in the deal that best illustrated the crazy boom years of the .com bubble and believes that this makes him some kind of sage instead of a lottery winner.

You just can't compare him to Gates who got where he is today through a combination of luck at birth and supremely hard work (and some questionable business tactics).

Cuban's stake in Broadcast.com's was worth about $100M before they sold to Yahoo, and since the sale to Yahoo, he's managed to over double his net worth via the Mavericks and his business interests. He may not be Gates, but I think he's more than a lottery winner.

Doubling your money over 18 years is a only 4% rate of return. Not terrible, but also not impressive.

His compound rate of wealth increase, post paying taxes on the sale, is around ~7.5%. That beats the S&P 500 over that time, which very few professional money managers can do.

$1.1 billion to $4.08 billion [1].

His primary business holding, the Dallas Mavericks, has increased in value from $285 million to $1.9 billion [2] (per the latest Forbes estimate). For that investment, he has seen a rate of value increase of about 11% per year. That investment stomps the S&P 500 massively (which was at ~1400 when the acquisition closed).

[1] https://www.bloomberg.com/billionaires/profiles/mark-cuban/

[2] https://www.forbes.com/sites/kurtbadenhausen/2018/02/07/nba-...

> His compound rate of wealth increase, post paying taxes on the sale, is around ~7.5%. That beats the S&P 500 over that time, which very few professional money managers can do.

Very few money managers that are accessible to people with less than 10^8 USD can beat the S&P after fees.

Bridgewater, (Ray Dalio's fund mentioned above) regularly gets 12.5% annual returns and they are most notable for being consistent, not high. Pre-2008 some investment banks were getting up to 20%.

A billionaire making 7.5% annually is fairly unimpressive if their goal was to make money (which it might not have been for Cuban).

I think it was around $1.4B, not $100M -- https://en.wikipedia.org/wiki/Broadcast.com

That's the sale to Yahoo.

From that article: "After the IPO, the company was worth $1 billion, Mark Cuban was worth $300 million" (obviously a little more than the $100m I thought)

Broadcast.com had $100m in revenue for fiscal 1999. Maybe that's what you were thinking of.

Cuban's position was worth more on paper at its peak before the Yahoo acquisition. Broadcast.com was acquired for $130 per share, the high that year before the acquisition, was $144 per share.

Prior to the acquisition, the stock was trading at $118. Yahoo only paid a 10% premium. Cuban was worth over a billion dollars before the acquisition.

https://www.cnet.com/news/yahoo-broadcast-com-sizzle-after-d...

I think the issue that people have with Mark Cuban's accumulated wealth is that it was during the Internet Bubble, and the stock would have been worthless just a few months later. I think Yahoo basically discounted the price of Broadcast a year later to zero.

Cuban had some very smart bankers at Goldman

He would be wealthier today if he had immediately put everything in an S&P 500 index fund and spent the last 20 years ignoring it.

That's factually wrong.

The S&P 500 was 1300 when he sold to Yahoo. He received $1.4 billion of Yahoo (14.6m shares at $95/each). He had to pay taxes on clearing out that position as well, so you can safely assume his after tax position was more like ~$1.1 billion. He very solidly beat the S&P 500.

He's worth $4.08 billion today according to Bloomberg (ranked #500 on their global rich list). He has increased his net worth by nearly 4x.

The S&P 500 is at 2747. It has just over doubled since April 1999. He'd be missing a billion dollars if he had gone with the S&P 500, including any dividends.

He was better off with what he did, he beat the S&P 500 index fund. Not only did he make more money his way, he got to do what he wanted to with his money, such as buying the Mavericks.

Sure, though given his investments in startups etc he could easily have lost 90% of it.

thank you. this is always something people forget. if you want to claim you are a good business man, you need to show that your businesses do better than an index fund.

8% will double your money in 9 years. It's been almost 20.

Doubling an investment is not too hard over 20 years.

Except he sold his Yahoo stock pretty early so he then had to make decisions on how to invest and grow the cash.

He just needs to get 4% yield per year to double it in 20 years.

It may be stylistic. Cuban tends to opine a lot and sometimes comes across as a blowhard.

He's overexposed too. There's something about people like Gates who don't make a lot of public pronouncements. When they speak, you tend to think it's because they have something of value to say (and they generally do).

Probably doesn't hurt that they also let their work do most of the talking for them (e.g. Bill and Melinda Gates Foundation).

I was thinking the same thing. It really makes me wonder whether he's trying to throw people off or if he got to where he is through dumb luck.

Yes, he's not a super genius. He's reasonably smart and good at spotting trends.

I take the advice of anyone with a huge grain of salt.

Probably the reason manifests through his parody in the show, Silicon Valley.

He’s from the “got lucky” school of billionairing, but he has the ego of a Jobs or Gates. A well funded blowhard in other words; your instincts are on target. That, and evaluating statements on their own (dubious in this case) merit is a good thing, always. Even very smart and accomplished people can say things which deserve careful scrutiny, and may come up short.

Lol. You guys crack me up. He built a company and sold it for a bucket of money. This board talks about trying to do that ALL DAMN DAY. He did it Lol.

...And? I’m not sure what your point is, other than trying very very hard to communicate your supposed amusement.

I studied philosophy in College but got my CS degree. I think some guy called Paul Graham did so too. I think philosophy is useful for detecting if someone is lying to you or doesn't know what they are talking about. It does stress critical thinking in different ways than say studying math (I also studied math also).

I can't really take what he is saying though at any serious level though and I don't believe what he is saying at all. I think that this story is to grab headlines.

> philosophy is useful for detecting if someone is lying to you

What do you mean? What did philosophy teach you about lie detection?

Ah, you caught him. You must also have taken philosophy.

Asking the right questions and seeing how people view the world.

I major in Math, so which did you think was more interesting?

I took Math and Philosophy (and studied higher math like Category theory and Knot Theory). I don't think one is more interesting than the other. I love them equally.

Also?

> Cuban advises ditching degrees that teach specific skills or professions and opting for degrees that teach you to think in a big picture way, like philosophy.

I don't think my computer science degree taught me 'specific skills' but instead taught me how to learn. How to pick up new concepts in a short period of time. I think does not fully understand what a computer science degree is or how artificial intelligence works.

Personally I think that computer programming AIs that can really replace humans (beyond just programming automation) will need to be AGIs. Those AGIs will be able to do philosophy just as well as they can program.

I also personally believe that we currently have most if not all of the ingredients necessary for AGI. My prediction is that in 2018 or 2019 we will see public demonstrations of AGI. These initial demos will be underwhelming and not have the capacity of humans or even animals -- but nonetheless will be truly general intelligences with significant human- and animal-like abilities. It will take another few years before the technology is widely recognized to be human-equivalent or better, but the initial systems will be trained in numerous fields quickly. There will be very powerful general systems available by 2021.

Some of the pieces necessary for general intelligence as I see them are truly general purpose inputs and outputs (like a body or virtual body), highly efficient processing of high bandwidth input and output, fast online (immediate) learning, hierarchical learning and computation, the ability to learn and recombine flexible sequences and time-based data. Advanced neural net-based systems, especially ones that are inspired by animal cognition systems, are providing all of these features. Its mainly a matter of integrating existing leading edge neural-net research with a good understanding of AGI.

Utter non-sense for two reasons.

First, he is reversing cause and effect in that AI is a philosophic problem (more specifically an epistemological problem). The philosophy departments have been doubting the efficacy of reason for over a century now, a process that started with Descartes, advanced by Hume and cashed-in by Kant to save faith from reason (i.e. subjectivism). If modern philosophy had been actually working to validate reason and explain how it works we would already have AI. AI is on hold until someone explains how reason works, and more specifically concepts, in enough detail so that we can program a machine to do it.[1]

Second, if you signed up for philosophy courses or a PhD today, perhaps you would learn how to be a more critical thinker but the danger is you would be infected with navel-gazing skepticism and impotence of reason and thus wreck your ability to think, big or small picture. If you are really talented you can get tenure writing essays destroying the work of your colleagues without generating a shred of original work.[2]

[1] Someone from the early work on computers said (I paraphrase); "Show me what the mind is doing and I can make a machine that can think". I want to say von Neumann but I've never found a source for that statement. If anyone knows who said it and where I would be very grateful for a reference.

[2] LBJ: “Any jackass can kick down a barn but it takes a good carpenter to build one."

Many people think the current buzz in AI is about intelligent machines instead of highly repeatable pattern recognition. I suspect we are several major advancements away from sentient machines and in a few years the buzz over ML will die down as we realize that it isn't much more than a great at sorting inputs.

The buzz may also continue to increase. The power of even limited narrow AI is only starting to show.

I personally have taken myself to learn more about psychology. I've already spent most of my life learning about machines and how to control them. It's time to learn more about people.

"We don't need people to engineer buildings any more, because we have architects and city planners."

I wouldn't expect a philosophy major to leapfrog into a similar compensation package as a competent engineer. At best they're going to be like PMs with domain knowledge, and working experience building software will be required for folks on product teams. Just another case of individual with cross-discipline expertise being more valuable than ones with narrower focus, which is nothing new in the workforce.

Ai hypers dont spend a min building ML models or munging data. Its so far away before AI can do all

This guy doesn't even know how to program. Some exec probably bamboozled his gullible self and now he's trying to making an ass of himself in headlines.

https://www.forbes.com/pictures/mme45gmef/mark-cuban-the-pro...

Okay, he does know how to program. But he still doesn't know fuck-all about AI.

That’s so unkind! Come on, Cuban doesn’t need to try to make an ass of himself, it’s clearly effortless.

Reminds me of what an ex colleague used to say: Every scientist is a philosopher, but not every philosopher is a scientist.

Let me explain: Philosophers love questions and problems, but the difference with scientists is that the latter like to find answers to those questions and solutions to those problems. It seems in practice, that philosophers like the questions more than the answers, and like them more to be "unsolved".

Why do people keep quoting Mark Cuban? He got lucky by selling his company to Yahoo just before the dotcom crash. I don't know any other worthy thing he's done since then. I really wish reporters weren't so lazy and just keep parroting things from people that they've heard of without qualifying how useful or effective the source is.

If you define "worthy" as "financially successful" then there is a lot

HDNet

So many media appearances that he's a celebrity and his appearance at a location becomes valuable/monetizable. (Dancing With The Stars, Entourage, etc.)

Shark Tank (9 seasons of broadcast /syndicated tv - think about money from the reruns)

Dallas Mavericks (NBA sports team) owner who has appreciated the value of the franchise not to mention won championships

And last but not least he is accessible to entrepreneurs and responsive via email.

All those things are a result of the first thing.

I don't see the point to your comment and I would also say it's more complex than simply the deterministic result of selling Broadcast to Yahoo! and smartly locking in the stock price with a collar trade... I'd say it's the product of his charisma, natural talent, work ethic, experience at previous companies such as Micro-Solutions and like ventures, etc.

While I agree someday, (more likely 40+ years from now) AI might be general enough to code new/better ai... I don't think philosophy will be the goto college degree...

I think the arts will possibly, because if AI is doing all the work, building the industries, and technologies we want then I feel science and entertainment will be two things ai can't do.. Science because it takes human curiosity to even know what we want to know or search, and the whole point of knowing is curiosity -- I think science will exist for awhile, albeit augmented fiercely by ai.

Entertainment because if there are no jobs as accountants, lawyers, or doctors, or any other jobs if--we end up in post-scarcity one thing we will need is something to do in all our free time, that something will be binging on netflix and social media 24/7.

> Cuban advises ditching degrees that teach specific skills or professions and opting for degrees that teach you to think in a big picture way, like philosophy.

I'm not sure if big picture thinking skills come from studying one specific field like philosophy by itself. I'd expect interdisciplinary thinking and life experiences to be more important.

Examples: meet many different kinds of people from around the world who challenge your preconceived ideas, and listen with an open mind. Work many different kinds of jobs (or volunteer). Approach learning from an interdisciplinary perspective and study multiple fields.

Studying philosophy isn't a bad idea, but I don't think that one field by itself is the solution.

Mark Cuban says a lot of things

Right, he loves to hear his voice. Next month he will say the opposite.

At the least, we'll need some kind of overseer for what these "AI"s are doing. These people will need strong analytical abilities, and the ability to deal with various levels of abstraction. Something that computer science people surely have.

Yeah, not much good content here, but it is probably useful to know what people like him are thinking (the new American oligarchs?). If, in fact, he is saying what he actually thinks. The only thing we can be sure of, is that he and his people are scared of AI.

If computer science is worthless, the rest of the jobs will be as well. CS is about solving problems in (almost) its purest form. If AI can do that, humans are done.

also afaik we're nowhere close to being able to use "ai" to do that reliably. it's a use case really distant from supervised learning

stop listening to people just because they are rich. i dont even mind this guy that much, but what evidence is there that this guy knows what he is talking about?

Why philosophy in particular, though?

I am sympathetic with worries about how automation will affect the job market, and I love philosophy -- but I saw no explanation in this article for why Mark Cuban believes philosophy in particular will be more valuable.

Because philosophy is seen as the de facto "worthless" degree in pop culture? Philosophy majors don't need to earn more in the future. Computer science majors just have to earn less. Something that isn't completely unrealistic. The BLS shows that developer incomes are already in decline.

Pay, of course, is determined by supply and demand. Developers currently do well because there are more jobs than people, but that can quickly change (and is changing, albeit slowly). The most common job in America only makes up about 3-4% of the entire workforce. Even if software jobs overtake that and grow to be the most common job in existence, but 10% of the population are willing and capable of being developers (not unbelievable given the current push by the education system to turn everyone into developers), it'll trend towards being a minimum wage job.

And that's assuming that the software labour industry grows substantially from its present size. Cuban is expecting it to shrink as AI takes on more and more development tasks which, if true, will mean we will need even fewer software professionals than we need today.

He may not be wrong. Check out Getting to Philosophy on wikipedia. [0]

"There have been some theories on this phenomenon, with the most prevalent being the tendency for Wikipedia pages to move up a "classification chain." According to this theory, the Wikipedia Manual of Style guidelines on how to write the lead section of an article recommend that the article should start by defining the topic of the article, so that the first link of each page will naturally take the reader into a broader subject, eventually ending in wide-reaching pages such as Mathematics, Science, Language, and of course, Philosophy, nicknamed the "mother of all sciences"."

[0] https://en.wikipedia.org/wiki/Wikipedia:Getting_to_Philosoph...

I think it's far more likely that if this process takes place, CS degrees will morph more towards areas like philosophy and mathematics than software engineering.

I doubt they're going to be teaching the exact same way in 30 years.

“In 10 years, a liberal arts degree in philosophy will be worth more than a traditional programming degree."

Dang I couldn’t think of a less qualified guy to make that call!

And I love philosophy!

Hard to take anything this guy says seriously. Ever since he announced that he would be happy to run for vice president without care whether it was Clinton or Trump I lost interest in whatever he said. He said this after regularly blasting Trump as not qualified for being president. He blasted Bitcoin then he decided it was a must-have. Previously he blasted the stock market as a gambling den. And I'm sure there are more examples. He loves publicity and the press loves to print whatever BS he's saying today. I'm sure tomorrow it will be something else. Mark Cuban shut the F--- up!!

This guy keeps pontificating. He must be running for POTUS

On an unrelated note:

Is it just me or the character Russ Hanneman from silicon valley is based on Mark Cuban.

I was expecting this comment to be number one. 3 comma club.

I flagged this for being unsubstantiated scarebait.

> That's because Cuban expects artificial intelligence technology to vastly change the job market, and he anticipates that eventually technology will become so smart it can program itself.

> "What is happening now with artificial intelligence is we'll start automating automation," Cuban tells AOL. "Artificial intelligence won't need you or I to do it, it will be able to figure out itself how to automate [tasks] over the next 10 to 15 years.

This is coming from a guy who doesn't know a lick of programming, let alone anything about AI. In fact, he mainly dabbles in sports and Shark Tank. Yet another "you luddites are all going to be replaced, so you better piss your pants" article, and all it's based on is this guy's gut feeling. Silicon Valley needs to chill the fuck out with overhyping AI, because it's going to backfire on them substantially when people start realizing they can't back up their promises.

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