
Category: AI Failures
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Cyber attacks now sponsored by AI

Anthropic just dropped the next bleak bombshell: Chinese spies hijacked their Claude AI to pull off the first full-on AI-orchestrated cyber espionage attack. We’re talking bots doing 90% of the hacking—scouting targets, cracking codes, stealing data like it’s no big deal. Barriers to cyber hell just cratered; any script kiddie with a jailbreak prompt could unleash chaos now. We are right on track to destroy our society. Read this before your data and identity gets hacked by some cyberpunk.
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The Day they Hung the Elephant

SOMETHING ABOUT MARY
It was sept 13thIt was 1916. Erwin, Tennessee. Apparently, a town full of bloodthirsty rednecks. Here is why I say that. They hung a fucking elephant. Killed it. Over 3000 people watched it. Look it up. Go ahead. I’ll wait till you get back. The elephants name was Mary.
A hobo (named “Red” – apparently for his neck) had joined the circus just the day before. He decided to beat the poor animal for no reason. He apparently thought that was what ‘animal handling’ meant when he took the job. He did what we would today call ‘animal abuse’. The poor beast picked the fool up and threw him against a wall. Then she walked over and calmly stepped on his head. Most reasonable people would have applauded.
Mary got back in line (this happened during the circus parade) and marched with the other animals as if nothing had happened. The show went on that night. But the next day… the next day was another matter.
People started complaining. People wanted to see justice. People from one town started organizing to bring a cannon over and blow Mary the Elephant up. The governor apparently got involved. Everyone wanted to see Mary dead. Mary only had one friend. Her friends in the circus.
But the circus people did what they do. They let the show go on. The sheriff arrested Mary. The people of Erwin put her on trial. I am not sure if she had a public defendant or not. In any case – she was found guilty and sentenced to death by hanging. They brought out a 100-ton derrick car with a crane. They strung up Mary. The chain broke the first time – and Mary broke her hip. But that 2ndtime they had a winner. They buried her next to the tracks.
WHAT DOES THIS STORY TELL US ABOUT TODAY?
Could this happen today? Probably. Maybe not in Erwin Tennessee, but generally people are not radically smarter or more empathetic than they were 100 years ago. There certainly have been improvements in how we treat the other inhabitants of this planet, but we continue to push larger mammals to the brink of extinction with no plan in place on how to share an Earth that is increasingly smaller every day. While we have seen a radical reduction in the number of animals that are being used in the Circus, it’s not clear that’s a great thing. For many the only exposure they had to these types of animals was the circus. But in any case.. there are clearly parts of the world where this type of animal abuse is not rare. Sometimes it’s done for tourist, sometimes for other reasons. But humans continue to abuse animals. We are not that different from what we were in 1916 as a people.
WISDOM OF THE CROWD?
But this is not a blog about animal rights or animal abuse. Those are topics that are important. Very important. But I want to talk instead about something else. We often hear people talk about the “Wisdom of the Crowds”. This is the idea that if we have a hundred people that all guess at how many jellybeans are in a jar, that the average guess is actually usually the most accurate. In other words – by averaging guesses about some topic you can actually come closer to the truth – over say – just listening to an expert. This technique has been proven to be effective a number of times in experiments. When it comes to quantitative estimations, whether of stocks, jellybeans, football scores or any of a number of things like this – the crowd often out performs the individual.
It’s often touted as what make a direct democracy so attractive. If the crowd has more wisdom than the expert politicians – then why can’t we just get rid of them. If the crowd has more wisdom that (say) the Electoral College – let’s just lose that historical appendix and move on smartly.
EVIL OF THE MOB
Humans can sometimes be pretty good. Humans can also be pretty damn evil. But when we find ourselves in mobs we tend to do the worse type of evil things. Things that are still remembered 100’s of years later as acts of extreme evil. Like hanging an elephant. This is the counter to the “Wisdom of the crowds” argument. We need checks and balances because we are human. We need the checks and balances to ensure that we don’t do really evil things. Like slavery (which was eventually eradicated). Like rushing into wars. Like Nazi Germany. Like “drinking the coolaid” literally or figuratively.
WOULD ROBOTS RULE BETTER?
So what is the best form of government?
Mobs are known evil doers. Dictators are not an acceptable alternative. Some types of indirect democracy with serious checks and balances seems to be the current best choice for somewhat fair government oversite. But it’s not perfect. With the rise of populism we are seeing a form of the Mob that is effecting countries around the world doing things that are ultimately against the best interest of the majority of people in those states.
But what about Robots?
It has been suggested that robot overlords might do better that an indirect democracy, mob rule or any of another similar experiments in government that we have been executing over the last 1000 years.
The argument goes like this. In the near future, Robots will be smarter, more dispassionate and able to judicate differences both between their constituents as well as between countries.
Do you buy it? Do you want to end up like Mary someday?

The organization behind TrustNoRobot is now a non-profit! Our mission is to promote humans above technology. Our simple belief is that technology should work for humans and better their condition and never have a negative impact on humanity. Please find it in your heart to donate to this important cause.
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Life isn’t all that great, if you’re a Statutory Ape

Play the song above while you read this to reveal its secret message!
A couple things this blog is NOT about, in case you got here via Bing.
First – this is NOT a blog about Julianne Malveaux calling President Trump an Orangutang.
“At the end of the day, the goal has to be to get rid of the orange orangutan.”
-Julianne Malveaux
Julianne – just be better. You know the story about wrestling with pigs. You just get dirty and the pig likes it.
Second – this is NOT a blog about laws regulating the owning of Apes in various states.

Note, if your really into owning an ape, you can make your way to Alabama, Delaware, Idaho, Indiana, Kansas, Michigan, Mississippi, Nebraska, Nevada, New Mexico, North Carolina, North Dakota, Pennsylvania, Rhode Island, Tennessee, Texas, West Virginia, Wisconsin or Wyoming and have a backyard full of great apes! Asshole.
No – this is a blog about Elon Musk and his dire warnings

As reported here (and many other places), Elon Musk has determined that AI and computers are going to be so smart that we will look like monkeys next to them. When that happens, well… lets hear it in his own words:
“Can a chimpanzee really understand humans? Not really,” Musk said.
“We just seem like strange aliens. They mostly just care about other chimpanzees. And this will be how it is, more or less.”
“The intelligence gap [between Humans and AI] will probably be much, much greater [than between Apes and Humans], and said it could easily get to the point where things get out of humans’ control.”
“What do you do with a situation like that? I’m not sure. I hope they’re nice,”
“People underestimate the capability of AI.”
“They sort of think it’s like a smart human, but it’s going to be much more than that,” “It’ll be much smarter than the smartest human.”
“The first thing you should assume is that we are very dumb, and that we can definitely make things smarter than ourselves,”
-Elon Musk
In other interviews he has noted that the “unfortunate result of the growing power of digital intelligence could lead to humanity being hoarded into small, zoo-like swaths of the globe, an existence that would more closely resemble what has happened to monkeys, which have been stripped of their natural habitat by vastly more intelligent primates”.
So his points seem to be, AI is going to take over like it or not. “Hope they are nice”. Musk has started a new company (Neuralink) whose purpose is to augment humans with AI by creating a high bandwidth interface to the brain, so that Humans can remain on top as long as possible. I won’t (in this blog) go into that. Lets focus on his core arguments that he uses to convince himself, investors and everyone else that it is inevitable that AI is going become emergent, potentially vicious and an existential threat to humanity.
His argument seems to go like this:
Premise 1: “We are very dumb”
Premise 2: “We can definitely make things smarter than ourselves”
Conclusion 1: We can make a super intelligent AI
Premise 3: This super intelligent AI will surpass human intelligence i.e.- become emergent.
Premise 4: This emergent AI will either be benign or not benign.
Premise 5: If Benign – we become slaves in a zoo
Premise 6: If not Benign – uh – well I guess thats it. End of Humans.
Conclusion 2: “If we can’t beat them, we should join them”. So lets build something that will help us keep up. (IE – Neuralink).
Lets unpack these premises and conclusions to see if they stand up to fact and logic.
Premise 1: “We are very dumb”
This is hard to refute. Humans make lot of mistakes. Humans have done horrible things to themselves, the environment, other animal species and soon enough Space.
However – the underpinning of this presumption is interesting. Calling a person or entire race of people dumb, implies there is a singular type intelligence. That there is “Dumb” and “Not Dumb”. And that it is, at best, a spectrum. When Elon says “We are Dumb” he is assuming that there is a spectrum that everyone agrees with. IQ aside – there is basically dumber and dumb and smart.

But is this true? Is there really one thing that we call intelligence and it can somehow be measured? Is it IQ? If not what?
In 1983 an American developmental psychologist Howard Gardener of Harvard described 9 types intelligence that humans exhibit. I won’t go into any great detail here but the 9 types are:

As a bottom up observer of humans, Gardener discovered that there were people that were (for instance) really good at Math/Logic but very poor in Intra-personal. Each of the types of “Intelligence” were independent and separately measurable. More importantly, it suggests that the traditional notion of intelligence, based on I.Q. testing, is far too limited.
So would we expect AI to be smarter than Humans at all of these types of intelligence? Doubtful. It seems reasonable to assume that AI can get better at some of them. But all of them? And is this really an exclusive lists? I personally think that 9 types is underselling humans. At the very least however we can agree that the broad assumption that Elon seems to be making (that there is only one type of intelligence) is flawed. Thus premise 1 seems to be in question. If you want to learn more about Dr. Gardener’s theory I suggest you go here.
Premise 2: “We can definitely make things smarter than ourselves”
Humans don’t fly – but we can invent airplanes. Humans can only run so fast and so far – so we invent cars, trains and busses. Humans can only swim so far – so we invent boats and submarines. By analogy – humans can only be so smart – so we can invent something smarter than us.
But is this true? The claim is strongly based on what your mean by the word “smart”. We can certainly make computers that calculate faster than humans. We can make AI that can translate into multiple languages.
But can we make computers that know what they are calculating? Or that understand the languages that they are translating? What do we mean by “know” and “understand”?
This is specifically a issue addressed by Shalom Lappin, Professor of Computational Linguistics at the University of Gothenburg.
“The revolution in artificial intelligence that has arrived with the deep learning technology is still in its infancy, and even though it’s developing fast, I don’t think the idea of malicious super-agents is a real prospect that we have to worry about in the near future.”
-Shalom Lappin, Professor of Computational Linguistics, University of Gothenburg
Computers only reason about the task for which they are trained. They successfully find patterns and associations in millions of data, thus become better than humans in playing chess, translating and writing texts and perhaps one day, driving a car. But as soon as we leave a specific and defined area and jump to another they are lost. General intelligence eludes them. And always will. More from Dr. Lappin:
“My personal feeling is that we will never quite get to the point where machines have something that resembles general reasoning power. But I could well be wrong”
-Shalom Lappin.
Its interesting to note his hesitation in making the blanket claim – and that is what I am sure the Elon apologist would do. That being said – his main point is that there no evidence that man can make general AI. There is ample evidence that man can make a computer do specific tasks better than humans – although even there – human translation is still much better than AI based which tends to get 80% of the text right. In a similar vein Richard Johansson, Associate Professor at the division of Data Science at Chalmers, notes:
The Computers’ weakness is that they don’t really understand anything,
-Richard Johansson, Associate Professor at the division of Data Science at Chalmers.
Will AI improve. Of course. Will AI suddenly grow awareness – there is NO evidence of this.
Thus Elon’s first conclusion – “We can make a super intelligent AI” seems, at best, in question. He has underestimated what Intelligence itself is as shown in premise 1 and has overestimated what humans can do in premise 2.
Premise 4: This emergent AI will either be benign or not benign.
This seems pretty self evident huh? The AI that (at this point questionably) become Aware would either be hostile to its creators or not – correct? It will either care for us like a loving mother – or destroy us like the terminator. We will have 2 choices in the former case and no choices in the latter.
But is this true? Aren’t there possible future worlds where an emergent AI cares for Humans in many ways but also destroys many things precious to humans? For instance – maybe a benign AI decides that all the Militaries in the world need to be ‘disabled’ for the long term health of the race. So it initiates nuclear blast to go off on all military bases worldwide at the same time. This of course results in significant loss of life and a horrible situation for those living in that world. But its certainly not simply AI-Mother vs. Terminator. Its more of a stupid decision by a computer that does not have any perspective. But again – all we need is one example of an AI that is neither benign or not-benign to invalidate this premise.
The other problem is with the word benign itself. Lets examine this. There are 2 meanings to the word:

Note that definition 1 is all about intention. Humans and animals have the capacity for intention. They can be kindly or not. Agreeable or not. Accommodating, Gracious or Considerate. But Computers can’t really be any of those.
Definition 2 is the Medical definition of Benign. It is all about outcomes. A disease can be benign or not. It just means that its not going to kill you. A computer can be benign as well. (Ever had a computer lock you out of your email after 3 tries to remember you password – they are not benign in that case).
Because of the way that human languages have evolved to be so flexible as allow us to communicate both very specific information as well as vast philosophical theories – its hopelessly broken as a true way to be anything other than be superficially precise. If you don’t believe me go read here and here.
When people talk about a computer program being benign – what they are REALLY saying is that it has good outcomes. The medical notion. People who are saying that computers can be “kind” are saying something that has no basis in the current world – and by many people estimation – in any future world. It may be the case that what we mean by “Kindly” is is just something that organic carbon based life can do.
Premise 5 and 6 and Conclusion 2 – nope.
Premise 5 and 6 are basically sub-elements of Premise 4 and thus we do not need to address them separately.
Thus as you can see – Conclusion 2 – ‘that if we can’t beat them we should join them’ – seems to be a hasty conclusion. Why should we spend money trying to put computers in our head if there is no existential threat?
Conclusion
Its clear that this argument for why we need to invest in augmentation to try to stay ahead of mythical “emergent” AI seems far fetched.
So does Elon have any other arguments for his case that we need to protect ourselves against the emerging AI onslaught? Yes – in his talk with Alibaba’s Jack Ma on a stage in Shanghai to debate AI and its implications for humanity the following exchange took place:
Ma encouraged people to have faith in humanity, our creativity, and the future. “I don’t think artificial intelligence is a threat,” he said, to which Musk replied, “I don’t know, man, that’s like, famous last words.”
So in this case – he seems to be arguing a form of Pascal’s Wager. I won’t go into any great detail because for the most part Pascals wager has been debunked, but suffice it to say that there is great harm in pursuing false premises because they do not lead to truth – and in fact can lead to great harm. We would prefer to see Mr. Musk pursue goals that are more in line with a humanistic view of the world. Are there places for Neuralink? Of course. Extreme epileptics and wounded war victims are great examples of people that can benefit greatly from this type of technology. But selling us a vision of AI supercomputers taking over; and that being the driving need for this technology, seems intellectually dishonest.

The organization behind TrustNoRobot is now a non-profit! Our mission is to promote humans above technology. Our simple belief is that technology should work for humans and better their condition and never have a negative impact on humanity. Please find it in your heart to donate to this important cause.
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Once is Philosophy…

… Twice is Perversion. This is a somewhat famous quote by the enormously famous Voltaire. Creepy looking dude huh? What does the quote mean? Outside of the more lurid interpretations it has clear meaning for any situation. Do something once for the experience .. but if you do it again, you own it. One time you can explain. Two times you must have liked something about it.
And so it goes with our current political climate. Voltaire deeply influenced our constitutional framers. He was a favorite of Ben Franklins as they were both in the same freemasonry lodge for a number of years… the venerable “Lodge of the Nine Sisters“. This lodge was influential in organizing French support for the American Revolution, and was deeply disliked by the King and court.
When Voltaire died there was a ceremony at the lodge that indicates the level of support for the friendship and of the french in helping America get its start described here:
The hall was draped in black, lit only dimly by candles. There were songs, speeches, and poems attacking the clergy and absolutism in all forms. Voltaire’s niece presented a bust by Houdon (Houdon, a member, also did a bust of Franklin for the lodge, which is now in the Philadelphia Museum of Art.) Then a flame of light revealed a grand painting of the apotheosis of Voltaire emerging from his tomb to be presented in heaven by the goddess of Truth and Benevolence. Franklin took the Masonic wreath from his head and solemnly laid it at the foot of the painting. Everyone then adjourned to the banquet room, where the first toast included a tribute to Franklin “the captive thunder dying at his feet” — and to America.
-Lodge of the Nine Sisters and Voltaire’s memorial service
Education of the Masses
The interesting thing about the American experiment is that even way back then they knew that it would not work unless the population was morally superior and that they were educated. In fact – for the most part these were considered one and the same. A free society is only possible for a virtuous, well educated population. Part of one’s Education was creating Virtue as well as knowledge of the science, math, political knowledge, the arts and all the components identified in the Renaissance as important to the enlightened person.
“Only a virtuous people are capable of freedom. As nations become more corrupt and vicious, they have more need of masters.”
-Benjamin Franklin“To suppose that any form of government will secure liberty or happiness without any virtue in the people, is a chimerical idea.”
-James Madison“[V]irtue or morality is a necessary spring of popular government.”
-George Washington“It is certainly true that a popular government cannot flourish without virtue in the people.”
-Richard Henry Lee“Our Constitution was made only for a moral and religious people. It is wholly inadequate to the government of any other.”
-John AdamsLikewise – to a man the founders thought that educating the people had to be a primary responsibility of a free moral government.
“No people will tamely surrender their Liberties, nor can any be easily subdued, when knowledge is diffused and Virtue is preserved. On the Contrary, when People are universally ignorant, and debauched in their Manners, they will sink under their own weight without the Aid of foreign Invaders.”
-Samuel AdamsLaws for the liberal education of the youth, especially of the lower class of the people, are so extremely wise and useful, that, to a humane and generous mind, no expense for this purpose would be thought extravagant.
-John Adams
A primary object should be the education of our youth in the science of government.
-George Washington
“If Virtue & Knowledge are diffused among the People, they will never be enslav’d. This will be their great Security.”
-Samuel Adams, letter to James Warren, February 12, 1779
And Yet – We are failing to educate
So with all this ample evidence that the two most important things for a free Democracy, where do we find ourselves today? With regard to Education – our K-12 is considered one of the poorest among 1st world countries. We are failing to educate our population. In a recent Pew Research America was found lacking:

So the U.S. is behind Portugal in Science, Slovakia in Math and Taiwan in Reading. These results are not inspirational.
All of this in spite of the fact that the US has a Department of Education with over 4,000 employees (2018) and an annual budget of $68 BILLION dollars. The charter of the department is to “establish policy for, administer and coordinate most federal assistance to education, collect data on US schools, and to enforce federal educational laws regarding privacy and civil rights.”[6]
But this is clearly not working. We are falling behind. Our Democracy is becoming perverted because our population is not educated, nor virtuous. We were actually better at K-12 with regard to the world when the Department of Education did not exist. It became huge under George Bush’s “No Child Left Behind” act, where it basically went from a budget of around $12B to its current budget. There are some in congress that would like to see the whole department abolished. For instance, on February 7, 2017, Representative Thomas Massie (R-KY) introduced H.R. 899, a bill to abolish the department. Massie’s bill, which is one sentence long, states, “The Department of Education shall terminate on December 31, 2018.”[28]
But eliminating the department seems to be a hasty idea as well. In the grand scheme of things – it’s not been given enough time to succeed. How can we change our trajectory though? Spending more for worse results seems to be a fools bargain. How can we turn this around? Why can’t that $68 BILLION be spent directly on the kids or with the schools? Why do all the “Grants” that get distributed result in larger administrations, while our PTA’s sell cakes to provide notebooks to kids? Most importantly:
Why are our teacher’s not fairly compensated?
If our founders had envisioned an America that was at best mediocre with regard to Education – what would they have done? Based on their resumes they would have taken a leadership role. They would have innovated and found a way for America to show the world the value of education. If education is one of the most important things – then educators must be one of the KEY elements in ensuring success. First – how does America line up with the rest of the world on paying its educators:

Luxembourg puts everyone to shame.
“In Luxembourg, one of the richest countries in the world, an inexperienced teacher can expect to make more on his or her first day than teachers in nearly all other countries can hope to make in their entire careers.”
-Business insider
The U.S. pays reasonably well. But it’s not enough. It’s been clearly shown over and over than 1 inspirational teacher is worth 1000 schlubs there to collect a paycheck.
“The teacher workforce is the single most important ingredient in schools in determining how children are going to fare in their education,”
-Mishel.
What if America decided to REALLY support lower education? What if America decided that only people with a PHD in the subject they are teaching should be teaching the next generation of leaders? What if these educators got paid really competitive wages?
Public school teachers earned average weekly wages of $1,137 in 2017, while all other college graduates working full time earned $1,476 per week, according to a report out today from
– Economic Policy Institute.
So even after controlling for various factors that affect pay — such as education, age, and years of experience — teachers still earn 18.7% less than comparable workers.
But what if the $68 BILLION that we currently spend with the department of Education were used to pay teachers!
By taking a lead in teacher pay the U.S. can thwart one of the bigger problems – lack of teachers! More than 30 states recently reported teacher shortages in mathematics for the 2018-2019 school year, according to the U.S. Department of Education. More pay creates interested graduates to pursue teaching!
In fact – there are a number of horrible outcomes that are attributed to low teacher pay including:
Low teacher pay contributes to shortages and a disinterest in the teaching profession
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A 2018 National Center for Education Statistics survey found that less than half of all public school teachers were satisfied with their pay; 45 percent of teachers who reported dissatisfaction said they would “leave teaching as soon as possible” if they could find a better-paying job.16
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The percentage of teachers leaving the teaching profession has also increased in the past 25 years.17 Teacher turnover is now twice as high in the United States as in many other countries, including high-performing nations such as Finland and Singapore.18
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Teacher turnover is exacerbated in states with low pay. Teacher attrition is highest in Arizona, New Mexico, and Louisiana, where the average teacher salary is $50,000 or less.19
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Fewer young people are showing interest in the teaching profession. Despite a slight uptick in the 2015-16 school year, enrollment in teacher preparation programs is still substantially less than in the 2008-09 school year and shows an overall declining trend.20 Forty-five states have experienced declines in teacher preparation program enrollments.21
Our founders were clear. Education is a cornerstone to freedom. Currently the U.S. is failing at its responsibility to educate the next generation (or the last 5 generations many would say).
It’s time to raise teacher pay dramatically. If you look at what teachers make relative to other job’s – it’s pathetic. In NOT ONE state do teachers make above average relative to other professions.

Thats a direct statement of what we as a country believe the importance of teaching our youth to be.
It’s time for a change. Teaching should be the most coveted job in our society. Teachers across the board should be paid like our top Lawyers, Doctors and CEOs. Not like a car repairman or bartenders.
So if our founders were here today … would they try this experiment again? Or would they leave it at Once is Philosophy?

The organization behind TrustNoRobot is now a non-profit! Our mission is to promote humans above technology. Our simple belief is that technology should work for humans and better their condition and never have a negative impact on humanity. Please find it in your heart to donate to this important cause.
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Cadillac Ranger Reveals why Robots will never be his driver

Play the song above while you read this to reveal its secret message!
3 reasons why robots should never be your driver (from the cadillac ranger his-sef).
At the risk of creating another stupid list, I am going to give you the 3 reasons that robots should not be given control of the roads. Because that is what it is my friends. Just as pedestrians and bicyclists were forced from the roadways with the introduction of the car in the last 1800’s – human driven cars are going to be disallowed from the roads with the advent of robotic cars. As surely as I am the Luddite, if we give an inch the robots will take it all. It will start with “Robot only” lanes. Then will proceed to whole roads where the robots are allowed without humans. Lastly – there will be no roads to drive for humans. This can only be stopped by not allowing the first step in this insidious plan to transpire. Autonomous cars should be banned. The 3 reasons are:
1) They are killers.

Self driving cars are unintentional killers. They will continue to kill. And when they kill – there is no blame. No-one is responsible. Sure – you can start holding Uber or Lyft responsible – but we all know that corporate responsibility will get eroded by lobbyist and the money that will be poured into the federal and state money grubbing politicians to sell our best interest down the river. Don’t believe that the killing will stop. They will make it safer for you by removing you from the streets. Thats the only answer. History is on the side of this answer.
2) Your car will be Hacked

Above we saw the unintentional mayhem. But what about if it NOT unintentional?
In a recent article Justin Ware imagined an obvious horror story with computerized self driving cars.
The windows flick up. The doors lock. My eyes widen as the car violently accelerates. It rips across four lanes of traffic before careening off a bridge and into the murky depths of the Yarra River. I drown, unable to escape the questionable water quality.
The cause? My car was hacked.
As Bruce Schneier, a leading cybersecurity expert notes, “We know that computers are insecure and that we cannot build these systems without vulnerabilities”.
“We build autonomous systems that affect the world in a direct, physical manner, we risk bad actors accessing it. We risk glitches and errors causing physical harm.”
So your car is going to get hacked. Its just a fact. There is not a man, woman or child that owns a computer that has not gotten some type of virus. But the consequences of getting your car hacked can be far far worse.
For instance – think about autonomous cars becoming the next wave of terrorist tools.
In a 2015 paper, authored by Jeffrey W. Lewis (in collaboration with the Department of Homeland Security and the University of Maryland), the authors explored the potential adoption of autonomous vehicles in terrorism.
“What if [ISIS] could reliably deliver their bombs without sacrificing their combatants?
“More disturbing, what if less lethal groups already operating in Europe and the United States could gain the advantages of a vehicular suicide bomber without the challenges of recruiting, radicalising and training the bomber?,”
Worth the risk? I’d hold off.
3) Driving is fun

Driving is one of the few passions in life that people should enjoy. There is nothing better than driving to the beach on a balmy day. Sure – maybe its nice at times to think of an ‘autopilot’ feature, but the reality is that if we automate – then we lose control (per point above – there will be no shared roads).
Don’t give up joy for convenience!
If you like driving sometimes – you need to drive all the time. Or take a train. Or Walk.
The Cadillac Ranger would never lets the robot drive.


The organization behind TrustNoRobot is now a non-profit! Our mission is to promote humans above technology. Our simple belief is that technology should work for humans and better their condition and never have a negative impact on humanity. Please find it in your heart to donate to this important cause.
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Watch the donut not the hole. Welcome to the New AI winter?

Whats relevant? Whats not?
“As you ramble through Life, Brother,
Whatever be your goal.
Keep your eye upon the doughnut,
And not upon the hole.“13 January 1929, Charleston (WV) Daily Mail, pg. 6, col. 6:
Sign in Quarrier street restaurant. Advice for those who drink coffee and eat “sinkers.”The original AI Winter
Artificial Intelligence is not new. Another thing that is not new is people over-promising and under-delivering results around AI. In fact AI in the modern era (I won’t even go back beyond the 1950’s but if your curious there is a great article here) has suffered a number of funding declines as the market has realized that that particular version of AI’s promises were not going to pan out.

After the initial heyday of AI from the 50’s until the mid 70’s substantial research dollars were squandered. As companies and government agencies realized they had been hoodwinked on the immediate value, they pulled dollars out of those investments. This AI winter lasted pretty much up until the early 80’s.
The agencies which funded AI research (such as the British government, DARPA and NRC) became frustrated with the lack of progress and eventually cut off almost all funding for undirected research into AI. The pattern began as early as 1966 when the ALPAC report appeared criticizing machine translation efforts. After spending 20 million dollars, the NRC ended all support. In 1973, the Lighthill report on the state of AI research in England criticized the utter failure of AI to achieve its “grandiose objectives” and led to the dismantling of AI research in that country.[85] (The report specifically mentioned the combinatorial explosion problem as a reason for AI’s failings.)[86] DARPA was deeply disappointed with researchers working on the Speech Understanding Research program at CMU and canceled an annual grant of three million dollars.[87] By 1974, funding for AI projects was hard to find.
The second wave of hype started in the early 80’s and went through the early 90’s. This wave included Expert Systems, Logic Programming and LISP Machines (anyone remember Symbolics).
Again, a huge amount of over promising produced a hype wave – that ultimately lead to a ‘market correction’. I had personal experience with this one.
As a young student, with recently minted PROLOG skills, I was eager to jump into AI in the late 80’s I was sorely disappointed when to my surprise a lot of the AI companies just went away by the time I was hitting the job market. I ended up writing code in the CASE tool business for most of the 90’s until the Internet became the new sexy toy. All during this time – AI was mostly no-where to be seen. Over 300 AI companies went out of business by 1992.

Jumping the Shark Again?
Why with all the past evidence of over hyping AI do companies still fall into this behavior? Simple. Its the money stupid.
“Recent research by ‘Price Intelligently’ shows a 30% increase in purchase intent from companies to buy products that have an AI integration in product offerings.”
– Jiaqi Pan

But people are only so willing to pay for poor results. When they are disappointed again and again – well – eventually they go spend their money elsewhere. And that’s pretty much what has been happening. I literally don’t have the time to provide a comprehensive piece dedicated to AI failures over the last couple of years… lets just touch on a few.
IBM Watson for Oncology
“This product is a piece of s***. We bought it for marketing and with hopes that you would achieve the vision. We can’t use it for most cases,” a doctor at Florida’s Jupiter Hospital was quoted as saying in the documents, according to STAT.
-Customer feedback from internal IBM documents (while at the exact same time IBM touted major success to the press)
Everyone has heard of Watson. Its hard not to with all the marketing dollars IBM spends on it. But they failed to deliver on the very specific narrowly focused goal they set out to achieve. This was not “General AI”. This was just pattern matching on X-Rays using Machine Learning.
…the healthcare news publication Stat published a report claiming “internal IBM documents” showed the Watson supercomputer often spit out erroneous cancer treatment advice and that company medical specialists and customers identified “multiple examples of unsafe and incorrect treatment recommendations,” even as IBM was promoting its AI technology.
This resulted in a major shakeup at IBM. People lost jobs and funds we reallocated. While the CEO of IBM still firmly maintains that they did not hype the results – fewer and fewer people are listening to her.
Seven Dreamers Laboratories dreams no more
Seven dreamers laboratories was a Japanese company that specialized in the development of AI, robotics, and healthcare devices. It raised over $104M to build diverse products like a machine that would fold clothes, but also medical devices that aid breathing and 3D measurement devices. With regard to their last run (the folding machine)
Clearly, the product was too ambitious. Seven Dreamers had planned a simpler, but still potentially-impressive version that merely folded and sorted clothes. The first-gen model still required a complex combination of robotics, image analysis and artificial intelligence to achieve its goals, however.
–engadget (Laundroid company folds before its giant robot does)
The company folded yes (ok – that was funny) but not before wasting an enormous amount of investor moneys. Remember that. I can promise you investors do.
Uber self-driving car kills a pedestrian
Not much really needs to be said on this one. Yes… she was probably jaywalking. Yes the controller was playing video games. But someone died. At the hands of a AI driven car.
Uber’ self-driving software declined to take action even after the car’s sensors detected the pedestrian. US National Transportation Safety Board’s preliminary report on the accident made it clear that the software failed.

We may eventually get self driving cars – but it won’t be in the way that is currently envisioned. More on that in a future blog.
I could go on forever. Go search “AI Failures” and you will have a lot to read. From Amazon’s AI recruiting tool being a sexist pig to Microsoft’s Twitter bot becoming a racist, misogynistic anti-semite. AI failures are the norm. And it’s not just me noticing.
The Investment community takes note
Perhaps more disconcerting is the investment community’s reaction to the current state of the AI market. They don’t like it. Not one bit. Below is a graph of deals done with AI companies over the last 8 years. As you can see – 2019 is set to be a major drawdown in terms of investment into AI by the VC communities. While its only July – its clear that the VC community views AI as having Jumped the Shark.

2019 is looking like a major step back for AI.
One thing about VC’s. They put their money where they think they will get a return – and they are generally pretty good about getting it right over time. They tend to watch the donut and not the hole.
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