Mind Matters Natural and Artificial Intelligence News and Analysis

Gary Smith

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Large Language Models Can Entertain but Are They Useful?

Humans who value correct responses will need to fact-check everything LLMs generate

In 1987 economics Nobel Laureate Robert Solow said that the computer age was everywhere—except in productivity data. A similar thing could be said about AI today: It dominates tech news but does not seem to have boosted productivity a whit. In fact, productivity growth has been declining since Solow’s observation. Productivity increased by an average of 2.7% a year from 1948 to 1986, by less than 2% a year from 1987 to 2022. Labor productivity is the amount of goods and services we produce in a given amount of time—output per hour. More productive workers can build more cars, construct more houses, and educate more children. More productive workers can also enjoy more free time. If workers can do in four Read More ›

Customer service and support live chat with chatbot and automati

Chatbots: Still Dumb After All These Years

Intelligence is more than statistically appropriate responses

This story, by Pomona College business and investment prof Gary Smith was #6 in 2022 at Mind Matters News in terms of reader numbers. As we approach the New Year, we are rerunning the top ten Mind Matters News stories of 2022, based on reader interest. At any rate: “Chatbots: Still dumb after all these years.” (January 3, 2022) In 1970, Marvin Minsky, recipient of the Turing Award (“the Nobel Prize of Computing”), predicted that within “three to eight years we will have a machine with the general intelligence of an average human being.”  Fifty-two years later, we’re still waiting. The fundamental roadblock is that, although computer algorithms are really, really good at identifying statistical patterns, they have no way of Read More ›

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Black and white computer keyboard keys close-up. Concept of unstructured big data that need to be sorted ready to be consumed by machine learning model for deep learning.

Large Learning Models Are An Unfortunate Detour in AI

Gary Smith: Even though LLMs have no way of assessing the truth or falsity of the text they generate, the responses sound convincing

For decades, computer scientists have struggled to construct systems possessing artificial general intelligence (AGI) that rivals the human brain—including the ability to use analogies, take into account context, and understand cause-and-effect. Marvin Minsky (1927–2016) was hardly alone in his overly optimistic 1970 prediction that, “In from three to eight years we will have a machine with the general intelligence of an average human being.” AGI turned out to be immensely more difficult than imagined and researchers turned their attention to bite-size projects that were doable (and profitable). Recently, large language models (LLMs) — most notably OpenAI’s GPT-3 — have fueled a resurgence of hope that AGI is almost here. GPT-3 was trained by breaking 450 gigabytes of text data into Read More ›

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Bitcoin cryptocurrency, virtual money concept

Has the Bitcoin Supply of Greater Fools Finally Been Exhausted?

It’s a bubble fueled by babble

The Declaration of Bitcoin’s Independence, endorsed by numerous celebrities, states that, We hold these truths to be self-evident. We have been cyclically betrayed, lied to, stolen from, extorted from, taxed, monopolized, spied on, inspected, assessed, authorized, registered, deceived, and reformed. We have been economically disarmed, disabled, held hostage, impoverished, enervated, exhausted, and enslaved. And then there was bitcoin. Bitcoin and other cryptocurrencies are, in reality, not useful alternatives to cash, checking accounts, debit cards, credit cards, and the other components of the financial system that powers the economies of developed countries. Blockchain technology is slow, expensive, and environmentally unfriendly. In 2021, Cambridge University researchers estimated that bitcoin blockchains consume as much electricity as the entire country of Argentina, with only Read More ›

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Baseball

This Time, Houston Was Blessed More by Luck Than by Stolen Signs

The victory parade over, let’s look at whether luck had more to do with the Astros’ success than Astro fans want to admit

The Houston Astros are the 2022 Major League Baseball (MLB) World Champion — this time, as far as we know, without relying on electronically stolen pitching signs sent to batters by banging trashcan lids or using buzzers hidden under uniforms. Now that the champagne has popped and the victory parade has been held, let’s consider the fact that maybe, just maybe, luck had more to do with the Astros’ success than Astro fans want to admit. Athletes and fans want to believe that the team that wins the World Series, Super Bowl, or any other championship is the best team that year. The reality is that in every sport — some more than others — outcomes are influenced by good Read More ›

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Teenage boy doing homework using computer sitting by desk in room alone

What Does AI in Education Mean for Critical Thinking Skills?

Students, as reported at Motherboard, are increasingly using GPT-3 and other text-generator programs to write essays for them

The COVID pandemic pushed a lot of school coursework to the internet, with an increased reliance on true/false and multiple-choice tests that can be taken online and graded quickly and conveniently. Not surprisingly, once questions went online, so did answers, with several companies posting (for a fee) solutions for students who would rather Google answers than watch Zoomed lectures. To fit into a true/false or multiple-choice format, the questions are generally little more than a recitation of definitions, facts, and calculations. Here, for example, are three statistics questions I found at a question/answer site: Question: True or false: A group of subjects selected from the group of all subjects under study is called a sample. Answer: True Question: You are Read More ›

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Stock Trader Sleeping At Multiple Computer's Desk

More Hard Math Does Not Necessarily Mean More Useful Solutions

It is sometimes tempting to overemphasize the math and underemphasize the relevance

Math is said to be the language of science in that most (but definitely not all) scientific models of the world involve mathematical equations. The Pythagorean theorem, the normal distribution, Einstein’s energy-mass equivalence, Newton’s second law of motion, Newton’s universal law of gravitation, Planck’s equation. How could any of these remarkable models be expressed without math? Unfortunately, it is sometimes tempting to overemphasize the math and underemphasize the relevance. The brilliance of the models listed above lies not in mathematical pyrotechnics but, if anything, in their breath-taking simplicity. Useful models help us understand the world and make reliable predictions. Math for the sake of math does neither. Examples of mindless math are legion. I will give three very different examples. Read More ›

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The Hyper-Specialization of University Researchers

So many papers are published today in increasingly narrow specialties that, if there is still a big picture, hardly anyone can see it

The Bible warns that, “Of making many books there is no end; and much study is a weariness of the flesh.” Nowadays, the endless making of books is dwarfed by the relentless firehose of academic research papers. A 2010 study published in the British Medical Journal reported that the U.S. National Library of Medicine includes 113,976 papers on echocardiography — which would weary the flesh of any newly credentialed doctor specializing in echocardiography: We assumed that he or she could read five papers an hour (one every 10 minutes, followed by a break of 10 minutes) for eight hours a day, five days a week, and 50 weeks a year; this gives a capacity of 10000 papers in one year. Read More ›

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Groups of people are connected by lines. Interdependence correlation in workflow. Interacting and joining forces with other teams. Interact to complete tasks. Formation of a more complex community.

Step Away From Stepwise Regression (and Other Data Mining)

Stepwise regression, which is making a comeback, is just another form of HARKing — Hypothesizing After the Results are Known

There is a strong correlation between the number of lawyers in Nevada and the number of people who died after tripping over their own two feet. There are similarly impressive correlations between U.S. crude oil imports and the per capita consumption of chicken — and the number of letters in the winning word in the Scripps National Spelling Bee and the number if people killed by venomous spiders. If you find these amusing (as I do), there are many more at the website Spurious Correlations. These silly statistical relationships are intended to demonstrate that correlation is not causation. But no matter how often or how loudly statisticians shout that warning, many people do not hear it. When there is a Read More ›

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Set of red glass dice isolated on black background. 3d rendering - illustration.

Don’t Worship Math: Numbers Don’t Equal Insight

The unwarranted assumption that investing in stocks is like rolling dice has led to some erroneous conclusions and extraordinarily conservative advice

My mentor, James Tobin, considered studying mathematics or law as a Harvard undergraduate but later explained that I studied economics and made it my career for two reasons. The subject was and is intellectually fascinating and challenging, particularly to someone with taste and talent for theoretical reasoning and quantitative analysis. At the same time it offered the hope, as it still does, that improved understanding could better the lot of mankind. I was an undergraduate math major (at Harvey Mudd, not Harvard) and chose economics for the much the same reasons. Mathematical theories and empirical data can be used to help us understand and improve the world. For example, during the Great Depression in the 1930s, governments everywhere had so Read More ›

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Cyborg hologram watching a subway interior 3D rendering

Big Brother Is Watching You (And Trying to Read Your Mind)

Chinese researchers now claim to have developed technology that can read our minds

One of the most popular story lines in the widely acclaimed television show The Good Wife (2009–2016) is when National Security Agency (NSA) techies entertain themselves by eavesdropping on the heroine’s personal life. It clearly resonated with viewers and reinforced the fears of many that the NSA might be listening to their conversations. Indeed, they might be. In 2013 James Clapper, Director of National Intelligence, was asked by U.S. Senator Ron Wyden about whether NSA collects “any type of data at all on millions or hundreds of millions of Americans.” Clapper answered, under oath, “No sir, not wittingly.” Clapper had been informed the day before that he would be asked this question and he was offered an opportunity the day Read More ›

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Chinese fortune cookies. Cookies with empty blank inside for prediction words. Blue background.

We Love Baseball Because of — Not Despite — Lady Luck

With a big game approaching, emotions run high so let’s heed some statistical realities

As we approach the MLB All-Star Game in Los Angeles on July 19, we can be confident of one thing — most current league leaders will not do as well after the break as they did before it. Baseball broadcaster and National Sportswriter of the Year Peter Gammons was among the first to notice this. He wrote in 1989 that, of those baseball players who hit more than 20 home runs before the All-Star break, 90 percent pegged fewer than 20 after the break. Gammons concluded that there was a “second-half power outage,” perhaps because the sluggers got nervous about the possibility of breaking a home run record. More recently, sports forecaster Max Kaplan made a similar observation, which he Read More ›

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Big eye watching a group of people 3D rendering

AI Would Run the World Better Than Humans, Google Research Claims

Don’t believe the headlines: Google’s inhouse game does not show that AI is ready to rule the world

Sixty years ago, conservative provocateur William F. Buckley wrote, “I would rather be governed by the first 2,000 people in the telephone directory, than by the Harvard University faculty.” Buckley was a Yale man, but his barb was not intended to compare Harvard to Yale. He later explained: Not, heaven knows, because I hold lightly the brainpower or knowledge or generosity or even the affability of the Harvard faculty: but because I greatly fear intellectual arrogance, and that is a distinguishing characteristic of the university which refuses to accept any common premise. Now may be the time to update Buckley’s incendiary remarks: I would rather be governed by the first 2,000 people in the telephone directory, than by a black Read More ›

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policewoman holding arrested young woman while her partner talking on portable radio

Can AI Really Predict Crime a Week in Advance? That’s the Claim.

University of Chicago data scientists claim 90% accuracy for their algorithm using past data — but it’s hard to evaluate

The University of Chicago recently announced to great fanfare that, Data and social scientists from the University of Chicago have developed a new algorithm that forecasts crime by learning patterns in time and geographic locations from public data on violent and property crimes. The model can predict future crimes one week in advance with about 90% accuracy. University of Chicago Medical Center, “Algorithm Predicts Crime a Week in Advance, but Reveals Bias in Police Response” at Newswise (June 28, 2022) Many thought immediately of the 2002 movie Minority Report, in which three psychics (“precogs”) visualize murders before they occur, thereby allowing special PreCrime police to arrest would-be assailants before they can commit them. Have these University of Chicago researchers made Read More ›

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AI・人工知能

AI: Is Thinking Humanly More Important Than Acting Rationally?

I have documented many examples of GPT-3 AI’s failure to distinguish meaningful from meaningless correlations — and invite readers to contribute their own

The potential power of artificial intelligence (AI) has been touted for more than 60 years though a generally accepted definition is elusive. AI has often been defined in terms of human-like capabilities. In 1960, for example, AI pioneer Herbert Simon, an economics Nobel laureate and Turing Award winner, predicted that “machines will be capable, within twenty years, of doing any work a man can do.” In 1970 Marvin Minsky, also a Turing Award winner, said that, “In from three to eight years we will have a machine with the general intelligence of an average human being.” More recently, in 2015, Mark Zuckerberg said that, “One of our goals for the next five to 10 years is to basically get better Read More ›

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Stock Market Management

Some Economic Models are Alluring, Others are Useful

In some markets, prices are affected by market forces and in others, like the job market, they are not

Statistician George Box is credited with the aphorism, “All models are wrong, but some are useful.” Unfortunately, as the brilliant economist Ed Leamer, once quipped, “Economists are like artists. They tend to fall in love with their models.” A large part of the art of economics is distinguishing between attractive models and useful models. The traditional bedrock of economics is the demand-and-supply model. Every introductory economics course explains how demand and supply are related to price and how the equilibrium price is where demand is equal to supply. This can be a very useful model for predicting how changes in demand and supply affect prices and trades — if we make the tempting assumption that the market price is equal Read More ›

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Positive girl resting on the couch with robot

Turing Tests Are Terribly Misleading

Black box algorithms are now being trusted to approve loans, price insurance, screen job applicants, trade stocks, determine prison sentences, and much more. Is that wise?

In 1950 Alan Turing proposed that the question, “Can machines think?,” be replaced by a test of how well a computer plays the “imitation game.” A man and woman go into separate rooms and respond with typewritten answers to questions that are intended to identify the players, each of whom is trying to persuade the interrogators that they are the other person. Turing proposed that a computer take the part of one of the players and the experiment be deemed a success if the interrogators are no more likely to make a correct identification. There are other versions of the game, some of which were suggested by Turing. The standard Turing test today involves a human and a computer and Read More ›

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Inflation, dollar hyperinflation with black background. One dollar bill is sprayed in the hand of a man on a black background. The concept of decreasing purchasing power, inflation.

Will Higher Prices Disarm Russia? It’s Complicated…

The effects of hyperinflation are subtle, but very real

The annual rate of consumer price inflation in Russia was 9% in February and 17% in March. For producer prices, the March number was 27%. Is Russia headed for hyperinflation, with prices increasing at triple-digit rates or more? I don’t know, but it is worth remembering what happens during hyperinflations. Many people believe that higher prices make everyone worse off. This is not true. Buyers pay more, but sellers receive more. One person’s higher price is another’s higher income. If all prices and incomes were to increase by the same amount — say 10 percent — everyone’s real, inflation-adjusted income would be unchanged. The true costs of inflation are more subtle. In practice, within every inflation, some prices increase more Read More ›

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The AI Illusion – State-of-the-Art Chatbots Aren’t What They Seem

GPT-3 is very much like a performance by a good magician

Artificial intelligence is an oxymoron. Despite all the incredible things computers can do, they are still not intelligent in any meaningful sense of the word. Decades ago, AI researchers largely abandoned their quest to build computers that mimic our wondrously flexible human intelligence and instead created algorithms that were useful (i.e., profitable). Despite this understandable detour, some AI enthusiasts market their creations as genuinely intelligent. For example, a few months ago, Blaise Aguera y Arcas, the head of Google’s AI group in Seattle, argued that “statistics do amount to understanding.” As evidence, he cites a few exchanges with Google’s LaMDA chatbot. The examples were impressively coherent but they are still what Gary Marcus and Ernest Davis characterize as “a fluent spouter of bullshit” because computer algorithms Read More ›

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Fake gold and silver coins closeup

In It For the Money: The Trump Coin Sham

Beware deceitful memorabilia hawkers who sell cheap mementos, hoping you'll be the fool that helps make them rich

Americans have a seemingly insatiable demand for memorabilia, no matter how cheaply it is made or how cheesy it looks. Some are preparing for their nostalgic years; some think they are making smart investments in collectibles that become more valuable as time passes. The problem with “investing” in collectibles is that an investment’s intrinsic value depends on how much income it generates. Stocks, bonds, rental properties, and profitable businesses all have intrinsic value. Mementos don’t. They rely on the Greater Fool Theory. If fools don’t appear, memento collectors are stuck with cheap and cheesy trinkets. This sobering reality does little to discourage people intoxicated by dreams of riches. For example, the White House Gift Shop sells a large collection of Read More ›