Malwarebytes Poll: Public Fascination with ChapGPT Has Turned to Suspicion

ChatGPT and related AI have been all the rage these past few months. Among other things, “AI” became the shiny object that companies have dangled before investors, rocketing upward the shares of the “Magnificent Seven” large tech stocks.

However, a recent poll by computer security firm Malwarebytes notes a marked turn in the public’s attitude towards these products:

It seems the lustre of the chatbot-that’s-going-to-change-everything is starting to fade….

When people explored its capabilities in the days and weeks after its launch, it seemed almost miraculous—a wonder tool that could do everything from creating computer programs and replacing search engines, to writing students’ essays and penning punk rock songs. Its release kick-started a race to disrupt everything with AI, and integrate ChatGPT-like interfaces into every conceivable tech product.

But those that know the hype cycle know that the Peak of Inflated Expectations is quickly followed by the Trough of Disillusionment. Predictably, ChatGPT’s rapid ascent was met by an equally rapid backlash as its shortcomings became apparent….

A new survey by Malwarebytes exposes deep reservations about ChatGPT, with optimism in startlingly short supply. Of the respondents familiar with ChatGPT:

  • 81% were concerned about possible security and safety risks.
  • 63% don’t trust the information it produces.
  • 51% would like to see work on it paused so regulations can catch up.

The concerns expressed in the survey mirror the trajectory of the news about ChatGPT since its introduction in November 2022.

As EWED’s own Joy Buchanan has been pointing out specifically with regard to citations for research papers (here, here, and in the Wall Street Journal), ChatGPT tends to “hallucinate”, i.e., to report things that are not simply true. In the recent working paper “GPT-3.5 Hallucinates Nonexistent Citations: Evidence from Economics” , she warns of the possibility of a vicious spiral of burgeoning falsehoods, where AI-generated errors which are introduced into internet content such as research papers are then picked up as “learning” input into the next generation of AI training.

Real-world consequences of ChatGPT’s hallucinations are starting to crop up. A lawyer has found himself in deep trouble after filing an error-ridden submission in an active court case. Evidently his assistant, also an attorney, relied on ChatGPT which came up with a raft of “citations to non-existent cases.” Oops.

And now we have what is believed to be “the first defamation lawsuit against artificial intelligence.” Talk show host Mark Walters filed a complaint in Georgia which is:

…asking for a jury trial to assess damages after ChatGPT produced a false complaint to a journalist about the radio host.  The faux lawsuit claimed that Mr. Walters, the CEO of CCW Broadcast Media, worked for a gun rights group as treasurer and embezzled funds.

…Legal scholars have split on whether the bots should be sued for defamation or under product liability, given it’s a machine — not a person — spreading the false, hurtful information about people.

The issue arose when an Australian mayor threatened to sue the AI company this year over providing false news reports that he was guilty of a foreign bribery scandal.

Wow.

Thousands of AI experts and others have signed an open letter asking: “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?”.    The letter states that “Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable.”    It therefore urges  “all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4…If such a pause cannot be enacted quickly, governments should step in and institute a moratorium…AI labs and independent experts should use this pause to jointly develop and implement a set of shared safety protocols for advanced AI design and development that are rigorously audited and overseen by independent outside experts.”

Oh, the irony. There is reason to believe that our Stone Age ancestors were creating unreal images like this:

whilst stoned on peyote, shrooms, or oxygen deprivation. And here we are in 2023, with the cutting edge in information technology, running on the fastest specially-fabricated computing devices, and we get…hallucinations.

Policies are an uncoordinated bundle

There is much to admire in the bundle of Canadian policy, but housing and construction regulation remains a largely unmitigated disaster.

I note this only as a reminder that

  1. It’s safer to admire individual policies rather than national bundles. There isn’t a nation on earth that gets anywhere close to everything right.
  2. What you gain from an optimal policy is often just slack that softens the impact of getting something else completely wrong.
  3. Often you only really feel the true cost of bad policy when political tides undermine what was previously buttressing your entire system. Case in point: the NHS and Brexit.

What happens to the Canadian economy when the housing market is still strangling disposable income and an anti-immigrant political movement rises to power on the false but persuasive accusation that immigrants, and not bad housing policy, is to blame? Leveraging all my gifts of analysis and foresight, I predict bad things. Bad things will happen.

EconTwitter Platforms and Threads

There is a community called #EconTwitter. This agglomeration of not-anonymous accounts links together professional economists, academics, and independent intellectuals. Twitter.com is the home base and origin of #EconTwitter. Mike wrote about turmoil in EconTwitter in December 2022. Find me on Twitter at @aboutJoy

The #EconTwitter group has experimented with leaving Twitter to join new networks. For some people, getting away from the billionaire owner is the explicit goal. Others join the new platform to be where the people are.

Mastodon launched in 2016 but it was not until recently that #EconTwitter made a go at that.

Mastodon is also part of the Fediverse ensemble of computer servers, which use shared protocols allowing users to interact with other users on computers running compatible software packages such as PeerTube and Friendica. Mastodon is crowdfunded and does not contain ads.

https://en.wikipedia.org/wiki/Mastodon_(social_network)

Fediverse? Protocols? The average Twitter user does not want to be bothered with “computer servers”. That’s part of the problem. On Mastodon I am @JoyBuchanan@econtwitter.net

When I joined, I was not confident that it would build on the initial momentum. The reason that the move to Mastodon was large and sudden is that Paul Goldsmith-Pinkham volunteered to set up econtwitter.net It’s paid for out of his research budget and he serves as the monitor. He can ban anyone who violates his speech/civility rules. So there is a moderator but not one paid by Mastodon.

I wrote about “Content Moderation Strategy” back in April 2022 when Elon at Twitter was big news.

Elon Musk buying Twitter is the big news this week. He wants to enhance free speech on the site and, according to him, make it more open and fun. Some fans are hoping that he will make the content moderation and ban policy more transparent. 

me in April 2022

Some people thought Twitter would crash – as in go offline – because of Elon. That has not happened, but users and brands have been irked by his management and personal style.

EconTwitter at Mastodon is still going. As far as I can tell, most people have reverted to Twitter for their main feed because the audience is larger and writers want engagement. The level of engagement at Mastodon probably peaked about a month after Paul started the server for economists. One reason I think it never overtook real EconTwitter is that economists like having a big audience that includes journalists and sociologists. Silo-ing on an EconTwitter-dedicated server was less fun. People say they don’t want to have to deal with weird strangers online, but revealed preference indicates otherwise.

Another notable development was the launch of Bluesky. I’m there as @joybuchanan.bsky.social

Making a good handle at the beginning is easy and there is some upside if it turns out to attract a large community. A few “Twitter famous” people will join these new apps and commit to posting just in an attempt to unseat Twitter. This sort of works in the sense that both networks are still operating, however neither ever got close to the Twitter scale.

Threads, launched this week, might be different.

Mark Zuckerberg opened up Threads for anyone with an Instagram account, which most of us already have. Millions of people joined in just two days. If you already have an Insta, then you can download the free Threads app on your phone and port over your Insta account.

I’m @_Joy_Buchanan_ on Threads. The underscores might look awkward, but there is no “early adopter” phenomenon here, unless you were an early adopter of Instagram.

Brands and celebrities are comfortable on Threads, so it will be able to make money without asking users to pay for a Blue Check. I have no problem with Elon asking Twitter users to pay. Someone who is worried about free speech should want to be able to pay for service.

The Silicon Valley phrase is: “If you’re not paying for the product, you are the product.

That’s going to be true on Threads, since I’m not paying for the product.

Threads will not kill Twitter, but it is going to make a bigger dent than Bluesky and Mastodon did. Nothing is free and nothing is perfect. I know a lot of people are upset about Twitter. However, there are some people who got a voice through it. People stuck inside authoritarian countries had a way to send messages out to a global audience.

Here is my most bullish case for Threads: it might unite the “TikTok generation” that never joined Facebook or Twitter but had Instagram with the older people from Twitter who never joined TikTok. The Twitterers will stay if they get enough attention.

Thus, Threads might put a dent in TikTok, too. Zuckerberg is probably sophisticated enough to make a “TikTok person” feel engaged by sending them more food videos and less BLS update charts.

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Awards for young talent are antinatalist

Another announcement just went out in my field to apply for an award for research support. This one is for early-career people. There are parameters about who can apply.

I know one of the men on the committee, and it would never occur to him in a thousand years that the structure of this prize discriminates against mothers. He probably thinks he’ll give equal consideration to everyone, which might be true in a sense, but there are a lot of people who are not allowed to put themselves in the pool. For this specific research prize, they don’t actually list an age limit, but they care about how fast you have progressed through the PhD->job track.

Let’s just say that this blog post is about every “under 30” or “under 40” prize that you can think of. Any prize that is age-limited sends the message that you had better accomplish whatever you are going to accomplish professionally first. Having kids needs to be the afterthought, chronologically.

Biologically, for men and especially women, having a kid before you turn 30 makes sense, if you ever want to have one. Professionally, there are a lot of implicit barriers to doing this. One of the few remaining explicit barriers that I can think of is these age-stage-specific prizes.

In case someone out there is thinking that IVF solves this, I’d like to point out that it’s really miserable and of course does not always work. In case someone out there is thinking “Bryan Caplan already showed that parenting is easy, so why does this matter?” I have a whole rant about that from last year.

Basic Immigration Logic

Economists overwhelmingly favor looser immigration controls. Allowing people to immigrate would improve the allocation of scarce labor and capital and it is a far cheaper way to aid poorer families than sending direct payments or trying to develop an entire country. Let’s cover some static analysis basics for migrating workers and their dependents.

Workers, Labor Markets, & Output Markets

There are two markets to consider: The new home country and the old home country. If workers leave the old country in search of the higher wages in the new country, then world employment remains unchanged. Employment obviously rises in the new country and falls in the old country. With identical laborers (a terrible assumption that’s the least charitable to immigration), wages in the new country fall and wages in the old country rise. This logic illustrates the cheap aid of which economists are fond.

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A Dangerous Year For Economists

I’m not sure exactly how many notable economists I expect to die in a year, but as of early July I feel like 2023 has already seen a year’s worth:

Robert Lucas, helped re-found macroeconomics with micro-foundations and a focus on growth, influential even as Nobel Prizewinners go

Paul David, economic historian and economics of technology

Stanley Engerman, economic historian, author of the much debated Time on the Cross

Herbert Gintis, game theorist and big picture thinker

Bennet McCallum, macroeconomist and pioneer of nominal GDP targeting and monetary rules

Barkley Rosser, eclectic thinker on chaos, complexity, catastrophe

Luigi Pasinetti, post-Keynesian

Victoria Chick, post-Keynesian

Li Yining, Chinese reformer, helped re-establish the Chinese stock market

Padma Desai, Indian reformer and scholar of planning

Rebecca Blank, labor economist, UW chancellor, acting US Secretary of Commerce

Harry Markowitz, won Nobel for “pioneering work in the theory of financial economics” (finding the risk-return optimal frontier for a portfolio)

Not all the biggest names, but all important enough that I knew of them despite not working in their subfields and, unfortunately, not having met them personally.

Let me know if I’m currently missing anyone, though let’s hope the list doesn’t get much longer by the end of 2023.

Economic Growth in the United States

The United States has problems and always had. But the historical record of the United States as an economic powerhouse is unrivaled. The US had a bit of a head start on economic growth, being a direct descendant of the country that really kicked of the Industrial Revolution. But we took that head start and really ran with it, now being by far the highest income large country, and the highest income country that does not derive a significant part of its GDP from fossil fuels or being a tax haven.

The average American has, as best as we are able to measure it, a standard of living that is at least 20 times greater than Americans when this country began.

Source: the indispensable Our World in Data

Bespoke misinformation as solution to targeted disinformation

[Author’s note: I almost used the word “radical” in the title, but stepped back from the abyss. Being wrong is always more forgivable than being sweaty and clichéd.]

The principal objective of disinformation campaigns is to lower the value of publicly available knowledge so the purveyor’s preferred narrative can compete in the market for ideas. This is particularly attractive to authortarian regimes who have control of large media outlets. If the integrity of public information is sufficiently low, then wholesale fabrications can dominate based on reach and volume.

But what if you are a benevolent democratic regime without a state media outlet trying to compete with targeted disinformation campaigns? Your enemies have flooded the zone with so many conspiracy theories and falsehoods that your ability to steer the public discourse is significantly hindered. How do you recover control of the narratives driving elections and, in turn, policy?

The classic power solution would be to eliminate the disinformation. Constraints on production and dissemination of information, bans on outlets, criminal prosecution for promoting foreign propaganda. Standard command and control governance. But what if the genie is already out of the bottle? Maybe you can limit access to foreign-owned outlets (i.e. TikTok), but eventually everything is going to leak through via other outlets. Half of Instagram Reels is essentially TikTok on a two week delay after all. And that doesn’t solve the problem of domestic disinformation/misinformation. If disinformation has reduced the price of lying to zero, then we should expect news and campaigns to indulge whenever it serves their bottom lines, which means lies will find every crack in the media regulatory firewall, like water on concrete.

(Brief aside: maybe you don’t believe in the horseshoe theory of political politics as it relates to authoritarianism and identity, but it sure does seem to accurately describe affinities for conspiracy theories.)

If you are a benevolent democratic regime seeking to retain office for yourself or your political party, how do you communicate with a public unable to distinguish truth from opposition deception? How do you produce something with signal value when the world is being purposefully and strategically filled with so much noise?


What if you didn’t focus on communicating with the public, per se, at least in the short run? What if you gave up on communicating broadly, for a moment, and focused entirely on the subset who could independently extract signal from noise? You’d lose elections, right? There’s not enough “signal extracters” to compete with “noise voters”, are there?

This is going to sound mathy and, at first, elitist, but hear me out. Maybe there are enough signal extractors simply because noise voters cancel each other out. This is not a new theory. This is classic statistics and political economy. If we assume that noise voters are purely random in who they vote for, then the Law of Large Numbers kicks in and you essentially get an even split of noise voters across all candidates, allowing the election-within-the-election “signal extractors” to determine the final winner.

If that all sounds just a little too cute and too convenient, its because it probably is. Assuming that noise voters are randomly distributed across parties and platform is a pipe dream. At this moment in the US and abroad, authoritarians and social conservatives are far more invested in pursuing noise voters, to varying degrees of success, by serving them up bespoke misinformation at every turn. Not that we should expect this to stay constant. As we speak a Kennedy (!) is running for the Democratic nomination on what is essentially a platform of disinformation, conspiracy theories, and pure hokum.

At the end of the day, we have to increase the value of signal campaigns relative to noise. How do we do that? Education! Public service! A recommitment to civic duty! A recommitment to God! A blogging revival! Ha. You wish. Sorry, those are certainly aspirational, if not inspirational, solutions. But I think those whither and die in the face of unrepent bullshit and lies. I have a different answer.

What if the solution to disinformation is more misinformation? But first, an aside.


There is a classic story in game theory that professors still put in front of their students to this day: if you had to meet someone in New York City tomorrow, but couldn’t communicate with them, where would you go and when would you go there? When posited to New Yorkers, specifically, and East Coasters broadly, it’s amazing how many people give the same answer: the clock in Grand Central Station at noon.

This is known as a focal point (or Schelling Point). It allows for coordination without communication. Focal points show up in culture and social norms on fairly regular basis simply because they are so useful. They emerge, over time, from thousands of repeated interactions, with certain norms taking hold when they create advantages for their adherents. The seeds of these focal points are when enough people find something useful that it becomes duplicated. Like meeting a friend arriving in town at the train station.

The truth can be a natural focal point, not because it is necessarily pretty or inviting, but because it is actually there.


So, again, what if the solution to disinformation is more misinformation? Not debunking the lies and bullshit, but heaping more out the window until it covers every surface? The reason that targeted disinformation works is that it reduces the advantage of telling the truth, allowing your preferred narrative to compete. The weakness of disinformation and lies, though, is that they are nearly costless to supply. Noise voters aren’t shopping for the best answer, they’re shopping for the answer that they would prefer to be true. So give it to them! Give them exactly the answer they want. Give everyone the exact answer they want. Flood the zone to the point of total saturation.

If everyone can find their own truth, then the Law of Large Numbers can actually dominate the outcome. If everyone can be fed exactly the story they need to hear to vote for Candidate A and exactly the story they need to hear to vote for Candidate B, then their vote will be effectively a coin flip. They only votes remaining to be determined outside of our probabilistic system? The signal voters. But it gets better, because the truth has an advantage in this landscape: it’s a superior focal point. If beliefs are blades of grass in a lawn fertilized with pure and utter bullshit, the truth will look like all the others, but it will be just a little taller. As people observe signal voters collecting around it, it will grow and grow until people decide, absent communication, to meet at the tall blade of grass.


How do you create such an infinite system of bespoke false narratives for the tiniest slices of the electorate? Targeted large language models. Artificial intelligence. The exact thing that some people fear will destroy democracy and enable authoritarians everywhere. If everyone is receiving their perfect cocktail of flattering, angering, entertaining disinformation, the only people that will determine elections will be those with an abnormal resistance to bullshit. Narratives flooding the internet, produced by a million AIs at a million typewriters, will ensure that each of us will stumble upon the exact sonnet you most want to hear, telling you which aliens caused which problems, which conspiracy cost people jobs, and which reason the world is worse than when you were sixteen.

No one will be fully, purely resistant, but we, each of us, have dimensions on which we actually know what we are talking about. Our own experiences, tacit knowledge, and expertise what will dominate our decision making process and tilt the balance of our vote towards the best outcome. A lot, if not most, of us, have a signal voter within. If our lesser proclivities are nullified in the aggregate by the power of statisics and perfectly curated bullshit, then the political carnival might just leave us governed by the better angels of our nature. A curious, counter-intuitive distillate, to be sure. But maybe also a functioning, more resilient democracy.

Just don’t read the comments ever again.

Canadian Wildfires Will Burn All Summer; Ways to Filter the Air in Your Home

This past week, smoke from wildfires in Canada once again drifted southward and gave very unhealthy air in parts of the U.S.  Several sources I checked indicated that it is unrealistic to expect human effort to extinguish these fires (see here , here, and here). The Canadian forests are just too huge in relation to the fire-fighting resources. What usually happens, even during a normal fire season, is that summer fires just keep burning until they are dampened down by winter rain, snow, and cold. Most of the fire-fighting efforts are devoted to saving communities that are in the path of the flames.

Thus, we may expect periodic episodes of unhealthy air for the next several months. The most hazardous smoke particles are those less than 2.5 microns in size. Particles this small make it past your body’s defenses and penetrate deep into your lungs, promoting a number of serious medical conditions. These smoke particles are made of toxic chemicals like polycyclic aromatic hydrocarbons.

What to do to protect yourself? A first line of defense is to don an effective mask, even indoors. We all probably have Chinese KN95 or Korean KM94 masks left over from pandemic days, and (properly fitted around the nose) these should filter out most of the smoke, including the particles that are less than 2.5 microns. (I prefer the more-comfortable KM94 masks, as discussed here.)  These masks are supposedly about as effective as the more-rigid N95 masks that are the U.S. standard.

Air Filters in Your Furnace

See here for some general tips on dealing with smoke in the home, e.g. damp-mop non carpet floors rather than vacuuming, to avoid shooting settled particles into the air. However, what is really needed is some means to filter the smoke out of the air in your home, otherwise over time the air inside may be as polluted as the air outside. All furnace/central air conditioning systems have a filter in the circuit. A simple solution would be to use an air filter which can catch the smoke particles. The problem here is that the better the filter is at catching small particles, the more restrictive of air flow it is.

Most air filters are rated according to MERV values. MERV 13 filters can remove most smoke particles in a single pass. Unfortunately, most home heating/cooling systems cannot handle that much restriction in air flow; the fan motor would get overloaded and perhaps burn out. One solution here is to install a parallel air filter, with its own booster fan, using a MERV 13 filter. Here, only part of the home air circulation goes through the MERV 13 filter on each pass, but with time most of the home air gets cleaned.

Another approach is to install a MERV 11 or (if your furnace is newer) MERV 12 filter in the furnace. A MERV 11 filter might only capture around 25% of smoke particles per pass, but in the course of a day your whole house air volume should pass through the filter several times. If you have a common size air filter, you can probably get a MERV 11 that would fit on Amazon or at a local big box store. For uncommon sizes, try here.

Make Your Own High-Capacity Filter Box

In addition to working with your furnace/air conditioning filter, you can buy a compact stand-alone air purifier for your home. This Shark HP202 model will provide a continuous read-out of air quality.

For even more air-cleaning muscle, you can make a box-style air purifier by duct-taping together four MERV 13 furnace air filters (four sides of a cube), and adding a box fan on top. Instructions (including YouTube links) for doing this are here, with further details here. These diagrams give the general picture:

An example of a finished product is below; note the red tape covering the outer part of the fan outlet. Blocking that outer area, giving a smaller diameter opening for the air to blow out, increases the net air flow significantly. (It prevents back-eddies of air around the edges).

 It turns out that the air flow through one of these home-made air filters is so high that, even though the per-pass capture efficiency is lower than a HEPA filter, the home-made filter box can remove more particulates from a room than a store-bought HEPA filter.

I have made two of these filter boxes so far, using premium and regular filters. They have worked quite well in clearing the smoke from our rooms: the benefit is well worth the cost of parts and labor. See here for more on my experiences and construction tips.

Some on-line resources:

Accuweather  seems to have straightforward reporting of air quality, including specifically the less than 2.5 micron particles. (Search on your location, then find Air Quality and click Details).

NOAA provides a real time satellite map of smoke patterns (click on “Surface Smoke”), but don’t rely on their color coding to decide whether your local condition is orange or red.

This web site from Natural Resources Canada shows locations of current wildfires in Canada. See Overlays for the meaning of the symbols; red denotes fires that are out of control. You can click Fire Perimeter Estimate to see the enormous extents of some of these fires.

The Part I Remember from Eat, Pray, Love

Elizabeth Gilbert of Eat, Pray, Love delivered an insight, second-hand from “Deborah the psychologist”.

I remember a story my friend Deborah the psychologist told me once. Back in the 1980s, she was asked by the city of Philadelphia if she could volunteer to offer psychological counseling to a group of Cambodian refugees—boat people—who had recently arrived in the city. Deborah is an exceptional psychologist, but she was terribly daunted by this task. These Cambodians suffered the worst of what humans can inflict on each other—genocide, rape, torture, starvation, the murder of their relatives before their eyes, then long years in refugee camps and dangerous boat trips to the West where people died and corpses were fed to sharks—what could Deborah offer these people in terms of help? How could she possibly relate to their suffering?

“But don’t you know,“ Deborah reported to me, “what all these people wanted to talk about, once they could see a counselor?“

It was all: I met this guy when I was living in the refugee camp, and we fell in love. I thought he really loved me, but then we were separated on different boats, and he took up with my cousin. Now he’s married to her, but he says he really loves me, and he keeps calling me, and I know I should tell him to go away, but I still love him and I can’t stop thinking about him. And I don’t know what to do…

This is what we are like.

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