Jeffrey Funk

Jeff Funk is a Retired Professor and currently a Fellow at Discovery Institutes's Walter Bradley Center for Natural & Artificial Intelligence. His book, Competing in the Age of Bubbles: Understanding the Real Signals of Market Growth, is forthcoming from Harriman House.

Archives

When will the AI-driven Productivity Revolution Begin?

_{Big corporations are slow to embrace AI tech}_{Jeffrey Funk
September 15, 2023}

Just a few months ago professors and big consulting firms were saying that Generative AI will increase the rate of productivity growth and raise unemployment, thus frightening some into calling for a pause in AI development. For instance, “Tegmark’s Future of Life Institute spearheaded an open letter calling for a pause in training the most powerful AI systems until researchers adopt a shared set of safety standards. Its 33,000 signatories include Elon Musk, Apple co-founder Steve Wozniak and Yoshua Bengio, a computer scientist who won the Turing Prize for his pioneering work in AI. But now, a different message is appearing. A title from a WSJ article is: “AI Startup Buzz Is Facing a Reality Check,” because of declining usage Read More ›

The LK-99 BS Further Undermines the Credibility of Science

_{The rejection or distortion of genuine science can have tragic consequences}_{Gary Smith
August 10, 2023}

Social media is afire with reports that South Korean researchers have synthesized a room-temperature and room-pressure superconductor they call K-99. This is the biggest scientific news this year — yes, ChatGPT is now so last year. A representative Wow! from experts has been: “If LK-99 is the real deal, it could be a game-changer for everything from quantum computing and medical imaging to energy and transportation.” Long pursued by physicists and engineers, room-temperature, room-pressure superconductivity would revolutionize electronics and engineering by allowing current to move through wires without any energy loss. Everything will be cheaper and more efficient. Trains will levitate! Alas, the likelihood that this is BS research is very close to 100 percent. In the 110-year history of Read More ›

Using Data Like a Drunk Uses a Lamppost

_{Startup companies can be tempted to use statistics for support instead of real illumination}_{Jeffrey Funk
July 21, 2023}

Karl Pearson, the great English mathematician and statistician, wrote, “Statistics is the grammar of science.” At its finest, it is. Statistical data and methods are the backbone of the scientific method that underlies the astonishing scientific advances that humans have made. Unfortunately, statistics can also be used to provide misleading support for false claims. The examples are numerous and so are the laments: There are three kinds of lies: lies, damned lies, and statistics.—Benjamin Disraeli There are two kinds of statistics, the kind you look up and the kind you make up.—Rex Stout Definition of Statistics: The science of producing unreliable facts from reliable figures. —Evan Esar If you torture the data long enough, they will confess.—Ronald Coase We couldn’t Read More ›

Scientists Have Been Recommending Changes to Science Education for Decades

_{The modern education system seems designed to squelch curiosity}_{Jeffrey Funk
July 4, 2023}

Gary Smith describes the problems with today’s science in his new book Distrust: Big Data, Data-Torturing, and the Assault on Science. He recounts endless examples of disinformation, data torture, and data mining, much of which we already knew. Taken together, however, and as I described in this review, they are mind-blowing. He argues that many of these problems come from things scientists do such as p-hacking during statistical analysis, too little emphasis on “impact” in statistical analyses, outright data falsification, and the creation of the Internet, which can be a huge disinformation machine in addition to a valuable resource. In the last chapter, he also offers some solutions such as ending the artificial thresholds for p-values such as 0.05, requiring Read More ›

Review of Distrust: Big Data, Data-Torturing, and the Assault on Science

_{Tech expert Jeffrey Funk reviews Gary Smith's enlightening new book on data, disinformation, and the "assault on science"}_{Jeffrey Funk
June 14, 2023}

The pandemic proved a lot of things, one of them being that science is under assault. In this enlightening and entertaining new book, Professor Gary Smith shows us how much of the assault has its roots in what scientists do. The easiest impact to understand is the Internet, which was originally created by scientists in the 1970s to exchange scientific information. Now it has become a great way to spread disinformation on almost every subject. A former chief historian of NASA noted that: “The reality is, the internet has made it possible for people to say whatever the hell they like to a broader number of people than ever before.” Smith recounts endless examples of this disinformation, much of which Read More ›

Review of “Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity”

_{This new book on tech, AI, and economic prosperity by Daron Acemoglu and Simon Johnson is incredibly timely}_{Jeffrey Funk
May 29, 2023}

This book by two MIT economists is very timely because the world is now dealing with the latest in the “Thousand Year Struggle,” in the form of artificial intelligence, the claims that many white-collar jobs will be automated, OpenAI’s call for regulation, and the possibility that AI will bring a further concentration of power among the big tech companies. Much of the book sets the stage for this discussion by summarizing the history of technology. This review focuses on the economic and social impact of automation and information technology over the last 50 years. For instance, “the distribution of income between capital and labor began to change significantly in the late 20th century. While throughout most of the century, about Read More ›

A World Without Work? Here We Go Again

_{Large language models still can't replace critical thinking}_{Gary Smith
April 24, 2023}

On March 22, nearly 2,000 people signed an open letter drafted by the Future of Life Institute (FLI) calling for a pause of at least 6 months in the development of large language models (LLMs): Contemporary AI systems are now becoming human-competitive at general tasks, and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? FLI is a nonprofit organization concerned with the existential risks posed by artificial intelligence. Its president is Max Tegmark, an MIT professor who is no stranger to hype. Read More ›

The Value and Drawbacks of ChatGPT

_{Robert J. Marks
April 6, 2023}

In this week’s episode, Robert Marks resumes his conversation with tech consultant and expert Jeffrey Funk. They focus on ChatGPT, its value and limits, and the hype that often accompanies new developments in AI. Additional Resources

Where Does Innovation Come From?

_{Robert J. Marks
March 23, 2023}

In a continuation of last week’s conversation, technology experts Jeffrey Funk and Robert J. Marks explore the question of where today’s technological innovation is fostered. Academia? Private corporations? The military? Since many universities now prize publication over innovation, much of the real progress is being made elsewhere. Additional Resources

Jeffrey Funk on AI, Startups, and Big Tech

_{Robert J. Marks
March 16, 2023}

In this podcast episode, technology consultant and author Jeffrey Funk joins Robert J. Marks to talk about the artificial intelligence industry, how it’s used by Big Tech, and AI’s exaggerated hype. How do we respond to AI when technology is changing every year? Additional Resources

Does New A.I. Live Up to the Hype?

_{Experts are finding ChatGPT and other LLMs unimpressive, but investors aren't getting the memo}_{Gary Smith
February 21, 2023}

Original article was featured at Salon on February 21st, 2023. On November 30, 2022, OpenAI announced the public release of ChatGPT-3, a large language model (LLM) that can engage in astonishingly human-like conversations and answer an incredible variety of questions. Three weeks later, Google’s management — wary that they had been publicly eclipsed by a competitor in the artificial intelligence technology space — issued a “Code Red” to staff. Google’s core business is its search engine, which currently accounts for 84% of the global search market. Their search engine is so dominant that searching the internet is generically called “googling.” When a user poses a search request, Google’s search engine returns dozens of helpful links along with targeted advertisements based on its knowledge of the Read More ›

Goodhart’s Law and Scientific Innovation in Academia

_{Many university researchers are leaving academia so they can actually get things done}_{Gary Smith
January 30, 2023}

British economist Charles Goodhart was a financial advisor to the Bank of England from 1968 to 1985, a period during which many economists (“monetarists”) believed that central banks should ignore unemployment and interest rates. Instead, they believed that central banks should focus on maintaining a steady rate of growth of the money supply. The core idea was that central banks could ignore economic booms and busts because they are short-lived and self-correcting (Ha! Ha!) and should, instead, keep some measure of the money supply growing at a constant rate in order to keep the rate of inflation low and constant. The choice of which money supply to target was based on how closely it was statistically correlated with GDP. The Read More ›

Large Language Models Can Entertain but Are They Useful?

_{Humans who value correct responses will need to fact-check everything LLMs generate}_{Jeffrey Funk
January 16, 2023}

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 ›

Tech bubble? Our Progress Towards Value to Users Has Slowed…

_{We should be wary of glowing forecasts when newer technologies don’t offer anywhere near as large benefits}_{Jeffrey Funk
November 7, 2022}

Today’s new technologies, from virtual reality to nuclear fusion have recently received record investments from venture capitalists, but their revenues are not growing as fast as technologies of past decades. Startup losses are unprecedented — far larger than in past decades. Share prices and private valuations have also been collapsing in 2022. Optimists mostly focus on the good news and ignore these facts. They believe that the heavy funding for these new technologies is a good measure of potential and thus any criticism is unjustified. Here is their typical argument: Paul Krugman and other “experts” criticized the Internet, personal computers, and other technologies in their early years. But these technologies succeeded. Therefore, criticisms of the new technologies are unfounded — Read More ›

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}_{Jeffrey Funk
October 4, 2022}

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 ›

How Far Will Unicorn Share Prices Fall?

_{Cumulative losses give us some insights}_{Jeffrey Funk
May 10, 2022}

Most investors know that America’s Unicorns are losing money. What they don’t know is that most Unicorns have dug big holes for themselves and aren’t sure how to dig themselves out. What do I mean by holes? I mean massive cumulative losses that have been accumulated over many years of yearly losses. Because many of today’s Unicorn startups were founded at least 10 years ago, and are still unprofitable, they have a had a long time to create huge cumulative losses, some much more than the $3 billion that Amazon once had. The biggest losses are for Uber ($29.1 billion), WeWork ($12.2 billion), Snap ($8.7 billion), Lyft ($8.5 billion), Teledoc Health ($8.1 billion), and Airbnb ($6.4 billion), followed by four Read More ›

Is Rationality Finally Emerging for Unicorn Share Prices?

_{Share prices are falling as losses continue to mount}_{Jeffrey Funk
January 24, 2022}

2021 was a great year globally for venture capital and startups. Initial public offerings (IPOs) raised a record $594 billion in 2021 globally while VC funding is on track to hit a record $454 billion invested through the first three quarters of 2021.This is up from $332 billion for the first three quarters of 2020, which was the previous record for three quarters. U.S. startups also did well with big increases in both VC funding and IPOs in 2021. Almost $100 billion of funding was given to startups in the first three quarters while for the full year, there were 416 IPOs, of which 128 were from the tech section. The total amount raised was $156 billion, of which $69 billion was for the tech sector. Read More ›

Destructing the Creative Destruction Myth

_{Debunking the argument that the Fortune 100 list is evidence of the productive vitality of capitalism}_{Gary Smith
October 25, 2021}

Joseph Schumpeter argued that capitalist economies are not stagnant and calcified but, instead, by nature a form or method of economic change and not only never is but never can be stationary. Joseph A. Schumpeter, Capitalism, Socialism, and Democracy, 1950 He believed that embedded in capitalism is an engine of change that revolutionizes the economic structure from within, incessantly destroying the old one, incessantly creating a new one. This process of Creative Destruction is the essential fact about capitalism. It is what capitalism consists in and what every capitalist concern has got to live in. Joseph A. Schumpeter, Capitalism, Socialism, and Democracy, 1950 Schumpeter was no doubt influenced by Charles Darwin’s theory of evolution. Darwin had written that the “extinction of old forms is the almost Read More ›

A World Without Work? Don’t Hold Your Breath

_{Predictions of mass unemployment caused by robots continue to be wildly inaccurate}_{Gary Smith
May 26, 2021}

Will we soon be sitting on couches watching reality TV shows while robots work 24/7 doing all of the work humans used to do? The idea that robots will replace most human labor has been around for almost 100 years and has become more popular with each new advance, from sensors and microprocessors to enterprise software, data analytics, and AI. The latest wave of robot hysteria was tweaked by The Singularity is Near in 2005, emboldened by Race Against the Machine in 2012, and sent over the top by The Second Machine Age and The Rise of Robots in 2016, and A World Without Work in 2020, all best sellers. A World Without Work was shortlisted for the Financial Times & McKinsey 2020 Business Book of the Year, in addition Read More ›

AI’s Future: Combining RPA With AI to Augment Knowledge Workers

_{The work machines can’t do is usually the rewarding part, both personally and financially}_{George Bara
April 19, 2021}

Counterterrorism requires analysts to work through millions of Twitter and Facebook messages, YouTube videos, and websites in multiple languages, far too much work for humans. But a combination of AI (artificial intelligence) and RPA (robotic process automation) can help humans do this work, leaving humans in charge of the most complex and important decisions. AI systems can crawl through documents in any language, automatically translating them, extracting names of people and organizations, and doing sentiment analysis of conversations to identify key text to be considered later by humans. This text can be automatically organized into proper bins using RPA, enabling a data processing and analytics pipeline that can handle large amounts of content at speeds never possible in the past. Read More ›