The Effects of the Recreational Drugs Kava and Kratom

This article was updated on March 1 with additional information on kava side effects.

This is a follow-up to my post last week, describing my visit to a shop purveying beverages laced with kava and with kratom, two substances I had not heard of previously. As a service to readers who may deal with someone who is using these materials, here is what I have found out about what they do to people.

Upfront disclaimer: I have no expertise in this area, these are just the observations of an amateur who has read a few articles. Do not make any decisions based on this article.


Primary Effects of Kava

Kava is made from the roots of a plant in the pepper family, which is native to the Pacific Islands. There are two main classes of kava plants. The “noble” cultivars are what has traditionally been used for human consumption, via water extraction of the roots to make a beverage. The non-noble (two-day or “tudei”) cultivars grow faster (so they are cheaper for production), but are more likely to have adverse side effects. Also, the above-ground parts of the plants are known to contain toxic alkaloids.

The Wikipedia summary of effects is, “Systematic reviews and meta-analyses conducted in the last decade have typically indicated a modest positive effect of kava on anxiety and generalized anxiety disorder, though the evidence is mixed and further research is frequently recommended.”

I found a 2020 memo by a FDA toxicologist, titled “Review of the published literature pertaining to the safety of Kava for use in conventional foods”, which covers both the positive effects and the extensive side-effects. The memo notes: “The major physiological action in humans is consistently reported as a pleasant, mild, centrally acting relaxant property which induces a generalized muscle relaxation and, ultimately, a deep natural sleep. A minor property of kava is its local anesthetic properties which are experienced as numbing of the mucous membranes of the mouth and tongue when the beverage is consumed.” That all sounds pretty nice.

The main active compounds in cava are called kavalactones. Known effects of the six major kavalactones are:

Source: FDA 2020

For the biochemists among us: “The psychotropic effects of kava are achieved by the modulation of gamma‐amino‐butyric acid (GABA) receptors. Although the exact mechanisms are not known, studies suggest that the effects are mediated via different mechanisms such as upregulation of GABA‐A receptor function, blockade of voltage‐gated sodium ion channels, enhanced ligand binding across GABA‐A receptor subtypes, and reduced excitatory neurotransmitter release.”   GABA is the primary inhibitory neurotransmitter in the central nervous system, so it is commonly targeted by tranquilizers such as benzodiazepines (e.g. Valium). Hence, the calming effect. Research suggests that kava components also inhibit the re-uptake of norepinephrine (a chemical that makes you feel alert) and of dopamine (a feel-good hormone).

Side Effects of Kava

The most controversial issue is liver damage. There were a number of very severe cases (complete liver failure) in the late 1990s/early 2000s in Europe, which led to a ban of kava in a number of countries there starting around 2002. It was not banned in the U.S., but the FDA issued an advisory letter expressing concern about liver damage.

Kava advocates were unconvinced, and further research seems to indicate that nearly all of those liver damage cases were due to use of the non-noble cultivars and/or the use of stems instead of just the roots and/or the extraction being done with some alcoholic solvent rather than water (probably due to greedy/ignorant kava suppliers). Most European countries have relaxed their outright bans, although in many cases kava sales are still restricted or regulated. Because their main market got shut off due to the liver problems, Pacific island nations scrambled to rebuild kava credibility. They now try to ensure that only proper kava is exported to the West.

Kava advocates claim that if kava is extracted the traditional way from traditional cultivars, there are no appreciable severe bad side-effects. On the other hand, the 2020 FDA memo document claimed there was a wide range of serious adverse effects of kava use among traditional kava users in the eastern Pacific, especially liver damage, among heavy kava drinkers: “Several studies show a clear association of increased level of liver enzymes GGT, ALP, and moderate to heavy kava beverage consumption as shown in Table 2…..Hepatic injury due to traditional aqueous extracts of kava root was reported in a study of 27 heavy kava drinkers in New Caledonia (Russmann et al. 2003).”

On closer examination, however, it seems that the FDA document gave an overly negative view of kava liver effects. The Russman 2003 study did not actually show “heptatic injury” among the 27 heavy kava drinkers. All it showed was elevated levels of the liver-related enzymes. It is true that there were pretty consistent observations of elevated levels of enzymes such as GGT (gamma-glutamyl
transpeptidase) and ALP (alanine aminotransferase) in blood samples. Most of the studies of Polynesian subjects cited in the FDA memo lacked controls, but Brown (2007) included kava users and nonusers in its survey of Tongans living in Hawaii. This study showed high levels of GGT and ALP among the kava users, yet without any clinical indications of liver malfunction. Also, other liver-related markers in the blood such as AST, ALT, bilirubin, and ferritin were normal in the kava users. The significance of the partial abnormalities in enzymes is not clear. My guess is that the liver is somewhat stressed but not to the point of malfunction.

So it seems true that moderate consumption of kava prepared the traditional way (water extraction from roots of noble cultivars) shows no general tendency for observable liver damage. That said, the elevated liver-related enzymes are grounds for at least a little caution, and there have been a (very) few cases of genuine liver damage from traditionally extracted kava. Russman (2003) reported two women in New Caledonia who developed symptoms of liver distress from kava; these symptoms resolved after cessation of kava use. And Becker (2019) documented the case of an otherwise healthy woman in Brazil who experienced complete liver failure following 52 days of using an approved kava pill at approved dosage; her life was saved by a liver transplant. However, people die every year from eating peanuts, so I don’t know how much to read into these isolated cases of liver damage from kava.

A common effect of kava use is dermatitis, presenting as dry skin, rashes, and eruptions. (This strikes me as an allergic-type reaction). Other common side-effects can be nausea and headaches. These effects typically resolve quickly if kava use is discontinued. In the plus column, there is some sketchy evidence for anti-cancer activity by kava. In general, cognition is not impaired.

I read about sixty reviews on Amazon from purchasers of kava root powders, and more discussions on Reddit. Most were quite happy with the kava products, but emphasized that preparing the drink from the root takes some time and effort to squeeze and then filter; the brew tastes terrible, like dirt (you have to gulp it down, not sip it), and some temporary nausea is common. However, there were a nontrivial minority that reported very ugly experiences, and one man who with his first dose went comatose and nearly died. The general opinion is that kava beverage made fresh (by you or at a kava bar) from the ground root is better than capsules or packaged drinks made from kava extracts.

The exact effects may depend on your genome – some folks may get whacked, while others escape unscathed. And there may be systemic differences between how Caucasians and Polynesians react to kava. Apparently you must chug it down on an empty stomach to get the full effects. It is best to drink it in multiple small increments, rather than one giant glass. Some users chase each “shell” with a swish of some other beverage to clear the taste out, and/or eat a tiny snack like a few chips to calm the queasy stomach.

Side effects seem to be greatly amplified when kava is consumed with other substances, especially alcohol. That makes chemical sense, since kava acts on many of the same metabolic pathways as alcohol and antianxiety meds like benzodiazepines and barbiturates. This is significant, since in the West kava is often consumed in a social context which includes alcohol.

For further reading on kava effects: see an objective 2022 review by Soarez, and many pro-kava articles such as this on the kava promotion site kavacoalition.org. That site includes testimonials of people using kava instead of opioids for coping with chronic pain from injuries. Although its main function is to reduce anxiety, that in turn may mitigate the sensations of pain. A number of participants in a Reddit thread stated that kava has helped them overcome alcoholism.

One source estimated that there are about 200 kava bars in the U.S., with about half of them in Florida. After a court battle with the state, a kava bar opened in Virginia in 2024. The state has so far has not approved serving of kratom.

My takeaway on kava: It seems to me to be somewhat similar to cannabis or alcohol – light, occasional use can give a good feeling, especially pleasant as a shared experience with friends. For some, it might be helpful in coping with pain. Unlike alcohol, there seems to be no obvious tendency towards addiction. However, as with alcohol and cannabis, there is some possibility of serious adverse effects, especially with heavy use and if it is consumed with other substances.   Therefore, it would seem wise to start slow with kava and monitor your body’s reactions.

Also, it is essential to make sure you are getting kava made the right way, as discussed above. At a kava bar, you can talk with the server. If you are taking capsules, I’d suggest contacting the manufacturer. Or you can buy plain kava root, and steep your own brew.

Effects of Kratom

I will spend less time on kratom effects, since it acts largely like an opioid. Need we say more.

Kratom is extracted from the leaves of an evergreen plant native to southeast Asia. We discussed some of the varieties of kratom earlier.  Quotations here are all from the Wikipedia article; they mesh with what I have read elsewhere.

The active compounds are a mix of dozens of alkaloid compounds. The key ones seem to interact with opioid receptors in the brain. But the interactions are complex and poorly-understood. On the plus side, “These compounds display functional selectivity and do not activate the β-arrestin pathway partly responsible for the respiratory depression, constipation, and sedation associated with traditional opioids.”

For recreational use, “At low doses, kratom produces euphoric effects comparable to those of coca. At higher doses, kratom produces opioid-like effects.”   Much of kratom use is for more serious issues, such as managing chronic pain or helping with opioid withdrawal.

There are many documented adverse side effects, resulting in many visits to hospitals:

Common side-effects include appetite loss, erectile dysfunction, nausea and constipation. More severe side-effects may include respiratory depression (decreased breathing), seizure, psychosis, elevated heart rate and blood pressure, trouble sleeping, and, rarely, liver toxicity. Addiction is a possible risk with regular use: when use is stopped, withdrawal symptoms may occur. A number of deaths have been attributed to the use of kratom, both by itself and mixed with other substances.

…Long-term use of high doses of kratom may lead to development of tolerance, dependence, and withdrawal symptoms, including loss of appetite, weight loss, decreased libido, insomnia, muscle spasms, muscle and bone pain, increased yawning and/or sneezing, myoclonus, watery eyes, hot flashes, fever, diarrhea, restlessness, anger, and sadness. This may lead to resumption of use. Frequent use of high doses of kratom may cause tremors, anorexia, weight loss, seizures, psychosis and other mental health conditions.

Perhaps the biggest concern with kratom is the high propensity for addiction and the need to increase dosage to obtain the desired effects:

Kratom is a botanical with a known addiction liability and, in vulnerable individuals, dependence may develop rather quickly with tolerance noted at three months and four- to ten-fold dose escalations required within the first few weeks…Kratom addiction carries a relapse risk as high as 78% to 89% at three months post-cessation.

In 2017 the FDA stated that “There is no reliable evidence to support the use of kratom as a treatment for opioid use disorder; there are currently no FDA-approved therapeutic uses of kratom… and the FDA has evidence to show that there are significant safety issues associated with its use.”

Some advice here on Reddit on how with kratom “less is more” — due to complex biochemical interactions, upping your dose or making it more frequent can actually diminish the desired effects, and start down the road of diminishing returns and then using higher and higher doses. And this Reddit where users describe their problems with kratom addiction:

i suggest you stop while you are still able to walk away relatively unscathed. addiction is a very disgusting thing that can happen to a person. you will absolutely feel worse than you ever thought you could feel, save for losing a child or something insane happening IRL.

some drugs will actually cause a physical addiction, like kratom. this means your body adjusts to it & stops doing its job in order to let the drug do it. now when you stop using, your body & mind are without their own processes & they are also without the drug. this leaves you empty, sick, wide awake but exhausted, sweaty but cold, aching pain. for alcohol, withdrawal can actually lead to seizures, extreme hallucinations & delusions, & even will just straight up kill you bc you need a drink so bad.

My takeaway on kratom: This one seems like playing with fire, due to its addictive properties. Also, street doses of kratom are sometimes spiked with horrible drugs like fentanyl. Thus, I see little case for promoting it for recreational use, given that there are safer alternatives such as weed, booze, and kava. (And in general, there are more fruitful ways to rise above anxiety than drinking or smoking something – – change your thinking patterns, or even use flashing lights to put your brain into alpha waves. )

It is possible that kratom could be useful to someone dealing with chronic pain, as an alternative to opioids with their known addition danger. I have deep sympathy for anyone in that position. I would hope that they would work with a medical professional or at least a trustworthy friend to monitor their usage (keeping it low, no matter what), since in these matters it is easy to deceive oneself as to what is really going on.

ADDENDUM

In case someone is tempted to try kratom out of curiosity, I will share the cautionary observation an acquaintance emailed me after reading the original version of this article:

You know, I met some heroin addicts who said that they always told themselves they wouldn’t do it, they had seen it destroy people. But they ended up one day just caving to curiosity. One day, they just shrugged and said “screw it, I wanna see what this is about.” And their life was ruined by the immediate addiction. It’s a very sad story. 

My Visit to A Kava / Kratom / Hemp Shop

Last week I visited a family member in Saint Petersburg, Florida. We had a very nice time, walking around the pier area of the city and going out on his boat. Every day was the same weather: sunny, and a high of 80° F (in mid-February).

I was out walking in the neighborhood, and I saw signage for a shop that piqued my curiosity. It offered cannabis products, which I knew about, but also “kava” and “kratom”, and apparently “nitro”.  When I came back to the house, I asked my host what kava was.  He indicated it was some kind of recreational drug, whose use seemed to be expanding, at least in that area.  I did a superficial check online, finding that kava is an extract from the roots of a plant native to some South Pacific islands, which is reputed to have anxiety-reducing and other feel-good properties.

A couple of days later I walked into the shop and introduced myself as an out-of-state tourist, who saw the sign out front and was curious.  There were no other customers at the time, so the saleswoman patiently graciously answered my questions.

I started off asking about kava. But she indicated there was actually more interest in kratom. That is what she imbibes herself, although not frequently. Kratom is extracted from the leaves of an evergreen, Mitragyna speciosa, which is native to Southeast Asia. It seems to have stronger effects than kava, and a physician I spoke with felt that kratom was more likely to be addictive. (I plan to do a deeper dive into the pharmacology of kava and kratom in later articles on this blog).

I was told that kratom comes in three main types: red, green, and white. These are extracted at different stages of leaf maturity. Red is for pain relief, white is for energy, and green is in between.  “Train wreck” has all three colors. The products in the shop with kratom, or kratom plus kava greatly outnumbered those with kava alone.

For pure kava, I would have to buy a can of soda (photo below) or buy a prepared drink at the bar.

While we were there, a customer came and ordered two drinks from the bar. He was a middle-aged, upstanding citizen, not some alienated youth covered in tattoos and body-piercings. He told us he has been using kratom for two weeks now, and it has helped him considerably. He said he suffers pain from arthritis and from operations, and that his alcohol use has gone way down since he started kratom. Normally, this man uses white kratom, but since the bar was out of the white extract, he walked out with two large cups of “train wreck”.

The shop also sells various cannabis related products. They mainly contain THCA, which is a legal and less potent version of THC, which is the most active ingredient in marijuana.

The sign out front offered mushrooms as well; I am not sure how “magic” they are. As for “nitro”, it turns out that that is not another psychotropic drug. It is just cold-brewed coffee infused with nitrogen gas, to give a somewhat creamy emulsion. Just another way for Americans to spend $6.00 on a cup of coffee.

I thought about buying and trying some kava or kratom drink, for the sake of science, but at my age I figured I needed to keep all my brain cells. I recalled that decades ago it was emphatically stated that marijuana (unlike alcohol) was not harmful, but now we know better. So, I thanked the clerk and walked out empty-handed.

POST-SCRIPT: See my follow-up article on effects of kava and kratom. Kava seems fairly safe and pleasant, maybe on a par with weed, but kratom functions largely like an opioid and should probably be avoided. Also, based on my additional reading, the kava beverages depicted above are likely to be ineffective; the way to go is to fresh-squeeze ground-up kava root in water. This can be done by you, or for you at a kava bar.

Why Low Returns Are Predicted for Stocks Over the Next Decade

I saw this scary-looking graphic of S&P 500 returns versus price/earnings (P/E) ratios a couple of days ago:

JPMorgan

The left-hand side shows that there is very little correlation between the current forward P/E ratio and the returns in the next year; as we have seen in the past few years, and canonically in say 1995-1999, market euphoria can commonly carry over from one year to the next. (See here for discussion of momentum effect in stock prices). So, on this basis, the current sky-high P/E should give us no concern about returns in the next year.

However, the right-hand side is sobering. It shows a very strong tendency for poor ten-year returns if the current P/E is high. In fact, this chart suggests a ten-year return of near zero, starting with the current market pricing. Various financial institutions are likewise forecasting a decade of muted returns [1].

The classic optimistic-but-naïve response to unwelcome facts like these is to argue, “But this time it’s different.” I am old enough to remember those claims circa 1999-2000 as P/E’s soared to ridiculous heights. Back then, it was “The internet will change EVERYTHING!”.  By that, the optimists meant that within a very few years, tech companies would find ways to make huge and ever-growing profits from the internet. Although the internet steadily became a more important part of life, the rapid, huge monetization did not happen, and so the stock market crashed in 2000 and took around ten years to recover.

A big reason for the lack of early monetization was the lack of exclusive “moats” around the early internet businesses. Pets.com was doomed from the start, because anyone could also slap together a competing site to sell dog food over the internet. The companies that are now reaping huge profits from the internet are those like Google and Meta (Facebook) and Amazon that have established quasi-monopolies in their niches.

The current mantra is, “Artificial intelligence will change EVERYTHING!” It is interesting to note that the same challenge to monetization is evident. ChatGPT cannot make a profit because customers are not willing to pay big for its chatbot, when there are multiple competing chatbots giving away their services for practically free. Again, no moat, at least at this level of AI. (If Zuck succeeds in developing agentic AI that can displace expensive software engineers, companies may pay Meta bigly for the glorious ability to lay off their employees).

My reaction to this dire ten-year prognostication is two-fold. First, I have a relatively high fraction of my portfolio in securities which simply pump out cash. I have written about these here and here. With these investments, I don’t much care what stock prices do, since I am not relying on some greater fool to pay me a higher price for my shares than I paid. All I care is that those dividends keep rolling in.

My other reaction is…this time it may be different (!), for the following reason: a huge fraction of the S&P 500 valuation is now occupied by the big tech companies. Unlike in 2000, these companies are actually making money, gobs of money, and more money every year. It is common, and indeed rational, to value (on a P/E basis) firms with growing profits more highly than firms with stagnant earnings. Yes, Nvidia has a really high P/E of 43, but its price to earnings-growth (PEG) ratio is about 1.2, which is actually pretty low for a growth company.

So, with a reasonable chunk of my portfolio, I will continue to party like it’s 1999.

[1] Here is a blurb from the Llama 3.1 chatbot offered for free in my Brave browser, summarizing the muted market outlook:

Financial institutions are forecasting lower stock market returns over the next decade compared to recent historical performance. According to Schwab’s 2025 Long-Term Capital Market Expectations, U.S. large cap equities are expected to deliver annualized returns of 6% over the next decade, while international developed market equities are projected to slightly outperform at 7.1%.1 However, Goldman Sachs predicts a more modest outlook, with the S&P 500 expected to return around 3% annually over the next decade, within a range of –1% and 7%.42 Vanguard’s forecasts also indicate a decline in expected returns, with U.S. equities falling to a range of 2.8% to 4.8% annually. These forecasts suggest that investors may face a period of lower returns compared to the past decade’s 13% annualized total return.

After the Fall: What Next for Nvidia and AI, In the Light of DeepSeek

Anyone not living under a rock the last two weeks has heard of DeepSeek, the cheap Chinese knock-off of ChatGPT that was supposedly trained using much lower resources that most American Artificial Intelligence efforts have been using. The bearish narrative flowing from this is that AI users will be able to get along with far fewer of Nvidia’s expensive, powerful chips, and so Nvidia sales and profit margins will sag.

The stock market seems to be agreeing with this story. The Nvidia share price crashed with a mighty crash last Monday, and it has continued to trend downward since then, with plenty of zig-zags.

I am not an expert in this area, but have done a bit of reading. There seems to be an emerging consensus that DeepSeek got to where it got to largely by using what was already developed by ChatGPT and similar prior models. For this and other reasons, the claim for fantastic savings in model training has been largely discounted. DeepSeek did do a nice job making use of limited chip resources, but those advances will be incorporated into everyone else’s models now.

Concerns remain regarding built-in bias and censorship to support the Chinese communist government’s point of view, and regarding the safety of user data kept on servers in China. Even apart from nefarious purposes for collecting user data, ChatGPT has apparently been very sloppy in protecting user information:

Wiz Research has identified a publicly accessible ClickHouse database belonging to DeepSeek, which allows full control over database operations, including the ability to access internal data. The exposure includes over a million lines of log streams containing chat history, secret keys, backend details, and other highly sensitive information.

Shifting focus to Nvidia – – my take is that DeepSeek will have little impact on its sales. The bullish narrative is that the more efficient algos developed by DeepSeek will enable more players to enter the AI arena.

The big power users like Meta and Amazon and Google have moved beyond limited chatbots like ChatGPT or DeepSeek. They are aiming beyond “AI” to “AGI” (Artificial General Intelligence), that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks. Zuck plans to replace mid-level software engineers at Meta with code-bots before the year is out.

For AGI they will still need gobs of high-end chips, and these companies show no signs of throttling back their efforts. Nvidia remains sold out through the end of 2025. I suspect that when the company reports earnings on Feb 26, it will continue to demonstrate high profits and project high earnings growth.

Its price to earnings is higher than its peers, but that appears to be justified by its earnings growth. For a growth stock, a key metric is price/earnings-growth (PEG), and by that standard, Nvidia looks downright cheap:

Source: Marc Gerstein on Seeking Alpha

How the fickle market will react to these realities, I have no idea.

The high volatility in the stock makes for high options premiums. I have been selling puts and covered calls to capture roughly 20% yields, at the expense of missing out on any rise in share price from here.

Disclaimer: Nothing here should be considered as advice to buy or sell any security.

DeepSeek vs. ChatGPT: Has China Suddenly Caught or Surpassed the U.S. in AI?

The biggest single-day decline in stock market history occurred yesterday, as Nvidia plunged 17% to shave $589 billion off the AI chipmaker’s market cap. The cause of the panic was the surprisingly good performance of DeepSeek, a new Chinese AI application similar to ChatGPT.

Those who have tested DeepSeek find it to perform about as well as the best American AI models, with lower consumption of computer resources. It is also available much cheaper. What really stunned the tech world is that the developers claimed to have trained the model for only about six million dollars, which is way, way less than the billions that a large U.S. firm like OpenAI, Google, or Meta would spend on a leading AI model. All this despite the attempts by the U.S. to deny China the most advanced Nvidia chips. The developers of DeepSeek claim they worked with a modest number of chips, models with deliberately curtailed capacities which met U.S. export allowances.

One conclusion, drawn by the Nvidia bears, is that this shows you *don’t* need ever more of the most powerful and expensive chips to get good development done. The U.S. AI development model has been to build more, huge, power-hungry data centers and fill them up with the latest Nvidia chips. That has allowed Nvidia to charge huge profit premiums, as Google and other big tech companies slurp up all the chips that Nvidia can produce. If that supply/demand paradigm breaks, Nvidia’s profits could easily drop in half, e.g., from 60+% gross margins to a more normal (but still great) 30% margin.

The Nvidia bulls, on the other hand, claim that more efficient models will lead to even more usage of AI, and thus increase the demand for computing hardware – – a cyber instance of Jevons’ Paradox (where the increase in the efficiency of steam engines in burning coal led to more, not less, coal consumption, because it made steam engines more ubiquitous).

I read a bunch of articles to try to sort out hype from fact here. Folks who have tested DeepSeek find it to be as good as ChatGPT, and occasionally better. It can explain its reasoning explicitly, which can be helpful. It is open source, which I think means the code or at least the “weights” have been published. It does seem to be unusually efficient. Westerners have downloaded it onto (powerful) PCs and have run it there successfully, if a bit slowly. This means you can embed it in your own specialized code, or do your AI apart from the prying eyes of ChatGPT or other U.S. AI providers. In contrast, ChatGPT I think can only be run on a powerful remote server.

Unsurprisingly, in the past two weeks DeepSeek has been the most-uploaded free app, surpassing ChatGPT.

It turns out that being starved of computing power led the Chinese team to think their way to several important innovations that make much better use of computing. See here and here for gentle technical discussions of how they did that. Some of it involved hardware-ish things like improved memory management. Another key factor is they figured out a way to only do training on data which is relevant to the training query, instead of training each time on the entire universe of text.

A number of experts scoff at the claimed six million dollar figure for training, noting that if you include all the costs that were surely involved in the development cycle, it can’t be less than hundreds of millions of dollars. That said, it was still appreciably cheaper than the usual American way. Furthermore, it seems quite likely that making use of answers generated by ChatGPT helped DeepSeek to rapidly emulate ChatGPT’s performance. It is one thing to catch up to ChatGPT; it may be tougher to surpass it. Also, presumably the compute-efficient tricks devised by the DeepSeek team will now be applied in the West, as well. And there is speculation that DeepSeek actually has use of thousands of the advanced Nvidia chips, but they hide that fact since it involved end-running U.S. export restrictions. If so, then their accomplishment would be less amazing.

What happens now? I wish I knew. (I sold some Nvidia stock today, only to buy it back when it started to recover in after-hours trading). DeepSeek has Chinese censorship built into it. If you use DeepSeek, your information gets stored on servers in China, the better to serve the purposes of the government there.

Ironically, before this DeepSeek story broke, I was planning to write a post here this week pondering the business case for AI. For all the breathless hype about how AI will transform everything, it seems little money has been made except for Nvidia. Nvidia has been selling picks and shovels to the gold miners, but the gold miners themselves seem to have little to show for the billions and billions of dollars they are pouring into AI. A problem may be that there is not much of a moat here – – if lots of different tech groups can readily cobble together decent AI models, who will pay money to use them? Already, it is being given away for free in many cases. We shall see…

Free Webinar, Jan. 25: Practical and Ethical Aspects of Future Artificial Intelligence

As most of us know, artificial intelligence (AI) has taken big steps forward in the past few years, with the advent of Large Language Models (LLM) like ChatGPT. With these programs, you can enter a query in plain language, and get a lengthy response in human-like prose. You can have ChatGPT write a computer program or a whole essay for you (which of course makes it challenging for professors to evaluate essays handed in by their students).

However, the lords of Big Tech are not content. Their goal is to create AI with powers that far surpass human intelligence, and that even mimics human empathy. This raises a number of questions:

Is this technically possible? What will be the consequences if some corporations or nations succeed in owning such powerful systems? Will the computers push us bumbling humans out of the way? Will this be a tool for liberation or for oppression? This new technology coming at us may affect us all in unexpected ways. 

For those who are interested, there will be a 75-minute webinar on Saturday, January 25 which addresses these issues, and offers a perspective by two women who are leaders in the AI field (see bios below). They will explore the ethical and practical aspects of AI of the future, from within a Christian tradition. The webinar is free, but requires pre-registration:

Here are bios of the two speakers:

Joanna Ng is a former IBM-er, pivoted to a start-up founder, focusing on Artificial Intelligence, specialized in Augmented Cognition, by integrating with IoT and Blockchain, in the context of web3, by applying design-thinking methodology. With forty-nine patents granted to her name, Joanna was accredited as an IBM Master Inventor. She held a seven-year tenure as the Head of Research, Director of the Center for Advanced Studies, IBM Canada. She has published over twenty peer-reviewed academic publications and co-authored two computer science books with Springer, The Smart Internet, and The Personal Web. She published a Christianity Today article called “How Artificial Intelligence Is Today’s Tower of Babel” and published her first book on faith and discipleship in October 2022, titled Being Christian 2.0.

Rosalind Picard is founder and director of the Affective Computing Research Group at the MIT Media Laboratory; co-founder of Affectiva, which provides Emotion AI; and co-founder and chief scientist of Empatica, which provides the first FDA-cleared smartwatch to detect seizures. Picard is author of over three hundred peer-reviewed articles spanning AI, affective computing, and medicine. She is known internationally for writing the book, Affective Computing, which helped launch the field by that name, and she is a popular speaker, with a TED talk receiving ~1.9 million views. Picard is a fellow of the IEEE and the AAAC, and a member of the National Academy of Engineering. She holds a Bachelors in Electrical Engineering from Georgia Tech and a Masters and Doctorate, each in Electrical Engineering and Computer Science, from MIT. Picard leads a team of researchers developing AI/machine learning and analytics to advance basic science as well as to improve human health and well-being, and has served as MIT’s faculty chair of their MindHandHeart well-being initiative.

Study Shows AI Can Enable Information-Stealing (Phishing) Campaigns

As a computer user, I make a modest effort to stay informed regarding the latest maneuvers by the bad guys to steal information and money. I am on a mailing list for the Malwarebytes blog, which publishes maybe three or four stories a week in this arena.

Here are three stories from the latest Malwarebytes email:

 ( 1 )   AI-supported spear phishing fools more than 50% of targets A controlled study reveals that 54% of users were tricked by AI-supported spear phishing emails, compared to just 12% who were targeted by traditional, human-crafted ones. ( 2 )  Dental group lied through teeth about data breach, fined $350,000 Westend Dental denied a 2020 ransomware attack and associated data breach, telling its customers that their data was lost due to an “accidentally formatted hard drive”. The company agreed to pay $350,000 to settle HIPAA violations ( 3 ) “Can you try a game I made?” Fake game sites lead to information stealers Victims lured to a fake game website where they were met with an information stealer instead of the promised game.

The first item here fits with our interest in the promise and perils of AI, so I will paste a couple of self-explanatory excerpts in italics:

One of the first things everyone predicted when artificial intelligence (AI) became more commonplace was that it would assist cybercriminals in making their phishing campaigns more effective.

Now, researchers have conducted a scientific study into the effectiveness of AI supported spear phishing, and the results line up with everyone’s expectations: AI is making it easier to do crimes.

The study, titled Evaluating Large Language Models’ Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects, evaluates the capability of large language models (LLMs) to conduct personalized phishing attacks and compares their performance with human experts and AI models from last year.

To this end the researchers developed and tested an AI-powered tool to automate spear phishing campaigns. They used AI agents based on GPT-4o and Claude 3.5 Sonnet to search the web for available information on a target and use this for highly personalized phishing messages.

With these tools, the researchers achieved a click-through rate (CTR) that marketing departments can only dream of, at 54%. The control group received arbitrary phishing emails and achieved a CTR of 12% (roughly 1 in 8 people clicked the link).

Another group was tested against an email generated by human experts which proved to be just as effective as the fully AI automated emails and got a 54% CTR. But the human experts did this at 30 times the cost of the AI automated tools.

…The key to the success of a phishing email is the level of personalization that can be achieved by the AI assisted method and the base for that personalization can be provided by an AI web-browsing agent that crawls publicly available information.

Based on information found online about the target, they are invited to participate in a project that aligns with their interest and presented with a link to a site where they can find more details.

~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~

But there is good news as well. We can use AI to fight AI: … LLMs are also getting better at recognizing phishing emails. Claude 3.5 Sonnet scored well above 90% with only a few false alarms and detected several emails that passed human detection. Although it struggles with some phishing emails that are clearly suspicious to most humans.

In addition, the blog article cited some hard evidence for year-over-year progress in AI capabilities: a year ago, unassisted AI was unable to match the phishing performance of human-generated phishing messages. But now, AI can match and even slightly exceed the effectiveness of human phishing. This is….progress, I guess.

P.S. I’d feel remiss if I did not remind us all yet again, it’s safest to never click on a link embedded in an email message, if you can avoid it. If the email purports to be from a company, it’s safest to go directly to the company’s website and do your business there.

Beware the Impactful Gastro-Intestinal “Norovirus”

This is about something unpleasant which I never heard of before this month, but I am sharing in case readers may benefit from a bit of intel here.

In a family I know with two kids under five, it started with the youngest child after he was likely exposed to unclean water. He vomited once, and then was apparently fine. I may be a bit fuzzy on the timeline, but I think it was the next day that the father came down with symptoms. Besides violent emptying of the GI tract from both ends, he was flat in bed for over 24 hours, hardly able to move. This was initially blamed on food poisoning from a restaurant seafood meal, but by the following day, the mom was feeling weak and shortly succumbed, with similar effects.

A woman went over to help this family. She wore a N-95 type mask and washed her hands diligently. Within a few days, the full symptoms suddenly overtook her, as well.  But her husband never got it.  The older child in the original family seemed to have escaped, but a couple of days later he came down with similar symptoms, which lasted off and on for several days.

Most likely the culprit here was the “norovirus”. The virus is named after the city of Norwalk, Ohio, where an outbreak occurred in 1968. It bears the charming nickname, “the winter vomiting disease.” Although the effects of the virus are very unpleasant, fortunately they usually last only a couple of days, with full recovery being the norm.  The sufferer should acquire immunity to that strain of the virus for six months to two years. Some people may escape becoming symptomatic, based on the bacterial populations in their gut biome.

Since this is an economics blog, here are some quick stats. In the U.S. the norovirus is estimated to cause about 20 million illnesses a year and about half of all foodborne disease outbreaks. Norovirus causes some 900 deaths and 100,000 hospitalizations annually, mostly among adults aged 65 and older. It also leads to nearly 500,000 emergency department visits, mostly involving young children.

 A model of the worldwide economic burden of the disease found:

Globally, norovirus resulted in a total of $4.2 billion (95% UI: $3.2–5.7 billion) in direct health system costs and $60.3 billion (95% UI: $44.4–83.4 billion) in societal costs per year. Disease amongst children <5 years cost society $39.8 billion, compared to $20.4 billion for all other age groups combined. Costs per norovirus illness varied by both region and age and was highest among adults ≥55 years. Productivity losses represented 84–99% of total costs varying by region. While low and middle income countries and high income countries had similar disease incidence (10,148 vs. 9,935 illness per 100,000 persons), high income countries generated 62% of global health system costs.

Once it shows up in a family, it is hard to avoid. A reason is that you can be sickened by exposure to as few as ten viral particles, compared to billions that are expelled in a bodily fluid incidents. A doctor reported:

She once acquired a norovirus infection by simply using the same bathroom that had been used earlier in the day by a visiting in-law who was recovering from a recent bout with the stomach bug.  That’s because “people who have norovirus can shed the virus for up to two weeks after their symptoms are gone.”

In another case, a diner in a restaurant vomited on the floor. The mess was quickly cleaned up by staff, and other diners continued eating. In the next few days, 90% of the people at the same table as the sick person fell ill, along with 70% of the diners at an adjacent table, and 25% of the folks at a table across the room.

OK, that’s the bad news. How can we fight back? Lengthy handwashing with soap should help, along with quarantining as much as possible. It turns out that alcohol is not very good at killing this bug, so the usual hand sanitizers may be ineffective.  Better results can be had cleaning surfaces with a bleach-water solution.

The main care needed is hydration. From what I have read, most Gatorade-type sports drinks do provide needed electrolytes (e.g., sodium and potassium), but probably have more sugar that is optimal for this situation. Gatorade Zero has sucralose in place of sugar, if you are OK with that. Pedialyte is designed for rehydration after diarrhea, and has less sugar and more electrolytes than Gatorade. Avoid “Gatorade Water” – it is just water, with the tiniest “infusion” of sodium and potassium.

If you find yourself stricken, it is reportedly wise to have a wastebasket or other receptable at hand in the bathroom, in case you face urgent activity from both ends at once (trying to word this delicately).

Fun fact I learned researching this topic: if the GI tract has been emptied, best avoid dairy for 48 hours after symptoms stop. That allows lactose in the gut to build back up again.

I have never gone on an extended cruise, partly because I don’t think I could resist the frequent offerings of desserts and snacks. But reading of norovirus outbreaks on cruise ships has given me another reason to stay on terra firma.

Red Lobster Out of Bankruptcy Proceedings, Set Up to Be Plundered Again by Private Equity

Red Lobster is a large, historic seafood restaurant chain operating in the U.S. and Canada. Last summer I wrote on how it got driven into bankruptcy: How an All-U-Can-Eat Special Driven by a Controlling Investor Pushed Red Lobster Over the Edge

Red Lobster used to be a pretty profitable business. Then in 2014 its owners sold it to a private equity firm called Golden Gate Capital. This private equity firm promptly plundered Red Lobster by selling its real estate out from under it, with those funds going to the PE firm. Instead of owning their own land and buildings, now the restaurants had to pay rent to landlords.  This put a permanent hurt on the restaurant chain’s profits. I don’t know this as fact, but because it is part of the usual PE playbook, I assume that the PE firm also made Red Lobster issue debt (bonds) so the PE firm could further plunder Red Lobster by having it pay “dividends” to its PE firm owners, using the money raised by issuing the bonds. After this glorious financial engineering, the private equity firm in 2019 sold a 49% stake to a company called Thai Union. Thai Union bought out the rest of Red Lobster ownership from Golden Gate in 2020.

Thai Union did a poor job managing the U.S. based restaurant chain, forcing cost-cutting measures that were counterproductive, and finally forcing a continual all-you-can-eat shrimp special, against the better judgment of on-the-ground Red Lobster management. That shrimp special made Red Lobster buy a lot of Thai Union’s shrimp, but led to large losses last year. The business had been suffering for a couple of years, with Covid shutdowns and competition from nimbler eateries, but the losses from the shrimp special sent it scurrying for bankruptcy protection back in May.

There are two main flavors of business bankruptcy. The direst form is Chapter 7, where the assets of the firm are sold off to meet obligations to creditors, and the firm goes out of business.

The more common form is Chapter 11, where the intent is to keep the business going (see Appendix). Somebody gets stiffed in the process, of course. Usually, common shareholders get almost nothing except maybe a reduced number of shares in the reorganized company. Preferred shareholders often get a few more shares. Unsecured bondholders may get 30-40 cents on the dollar as a settlement, or a reduced amount of bonds in the new company, or maybe stock shares. Sometimes the company will issue a new set of bonds which are “senior” to the old bonds, which reduces the value of old bonds. Other unsecured creditors like vendors may get something like 50 cents on the dollar.  

Secured creditors are higher up in the pecking order, and so often get higher recoveries. (The “covenant” for a bond or loan would specify if the loan is secured by, say, the value of the equipment in the restaurant).

Red Lobster restaurants have kept operating this year (2024), while creditors were kept at bay via the protection offered by the bankruptcy filing. As of September, Red Lobster emerged from the chapter 11 bankruptcy. A private equity group has taken over operations. They have injected some $60 million cash, which is actually not very much for this situation.

I was curious about what happened to Red Lobster’s creditors, such as vendors and bond holders. A first-level internet search, even with AI help, did not tell me how they fared as part of the settlement. I had read earlier this year that Red Lobster had something like $ 1 billion in debt, so I assume that a lot of bondholders got stiffed in this process.

In May the company announced that it had “ voluntarily filed for relief under Chapter 11 of the Bankruptcy Code in the United States Bankruptcy Court for the Middle District of Florida. The Company intends to use the proceedings to drive operational improvements, simplify the business through a reduction in locations, and pursue a sale of substantially all of its assets as a going concern…Red Lobster’s restaurants will remain open and operating as usual during the Chapter 11 process, continuing to be the world’s largest and most-loved seafood restaurant company. The Company has been working with vendors to ensure that operations are unaffected and has received a $100 million debtor-in-possession (“DIP”) financing commitment from its existing lenders.”

The “working with vendors” is an important piece here. When I peered at the official Red Lobster court bankruptcy website to try to glean more intel on the fate of the creditors, there was a list of leading “Unsecured Creditors”. These included Pepsico (supplying beverages) and Gordon Food Services, a major Canadian food supplier, as well as the owner of the store properties (Realty Income Corporation), which was presumably owed a lot of unpaid back rent.

Ironically, after one private equity firm plundered Red Lobster, then sold it to the hapless Thai Union (which ended up taking a $540 million write-down on their investment), the restaurant chain is now in the hands of yet another PE firm. I could not find definite information on the deal, but again we may assume that the PE firm got the creditors (bondholders, vendors, etc.) to accept “haircuts” on what they were owed, as opposed to getting almost nothing if Red Lobster went Chapter 7 and shut down. Thus, the new PE firm will start off with a relatively virgin company to plunder again.

My Brave AI search agrees with that assessment:

The company’s restructuring efforts may prioritize the interests of new investors and creditors over those of existing bondholders, potentially resulting in a less favorable outcome for bondholders… It is likely that the bondholders will be subject to a restructuring plan that may involve debt forgiveness, debt-for-equity swaps, or other arrangements that could result in a loss of principal or interest for the bondholders.

Side comment: If you, too, want to feed at the trough of private equity, there are a number of PE firms you can buy stock shares in so you can join in their profits. See 50% Endowment Returns Driven by Private Equity Investments: How Rich Universities Get Richer (But You Can, Too) .

APPENDIX: EXPLANATION OF CHAPTER 11 BANKRUPTCY

The text below is from the North Carolina bankruptcy law firm Stubbs Perdue:

Chapter 11 bankruptcy is a legal process that allows businesses to reorganize their debts and operations while continuing to operate. Unlike Chapter 7, which involves liquidating assets to pay off creditors, Chapter 11 aims to restructure a company’s obligations to improve financial stability and pave the way for future growth. Chapter 13, on the other hand, is typically reserved for individuals with a regular income, focusing on debt repayment plans.

Typical Chapter 11 Process

Chapter 11 process typically involves several key steps:

  • Filing the Petition: The process begins with the company filing a petition in bankruptcy court.
  • Developing a Reorganization Plan: The company works with its creditors to create a plan that outlines how it will restructure its debts and operations.
  • Negotiating with Creditors: The plan is subject to approval by the court and the creditors, who may negotiate the terms to protect their interests.

Throughout this process, the court plays a supervisory role to ensure fair treatment of all parties involved.

Ho Ho Ho – – It’s Time for the Annual Santa Claus Stock Rally

There tends to be a significant rise in broad stock indices the last two weeks of the old year and into the first two trading days of the new year. This is termed the “Santa Claus” rally. Sometimes it is focused on the last five trading days of the old and the first two days of the new.

Here is a chart showing average changes in S&P 500 prices for the month of December for 1970-2023 (blue line), and more recent data (last ten years, orange line).

Seeking Alpha

Some possible reasons for this year-end rally are:

Tax-loss harvesting: Investors may sell stocks at the end of a year to claim capital losses, to offset capital gains. They may then repurchase these stocks at the start of the new year.

Low trading volume: Larger institutional investors often go on holiday in this timeframe, leaving the market more to individual retail investors, who may be more optimistic.

Herd mentality: If most investors believe stocks will go up, then probably stocks will go up.

Santa Predicts the Future

Perhaps even more significant is the power of the Santa Claus rally to predict stock returns in the coming year. The following table lists returns for the last five trading days of the old year plus the first two days of the new year, and also the returns for the whole new year:

The Street

The table above was published in 2023, so the full year 2023 stock returns at that point were “TBD”. We now know the 2023 returns were hugely positive (approx. 23%). So, for 1999-2023, Santa came to town 19 out of 24 times for a year-end rally. Also, since 1999, the market rose 19 times during the Santa Claus rally; the following year, the S&P posted gains 15 times. Out of the 5 times the market lost ground during same period, the market fell in 3 of the following years. So the market performance in this transitional timeframe correlates well with the stock gains for the whole new year.

Will stocks soar again this holiday season? I have no idea. We are off to a shaky start, with the S&P 500 down about 1.5% in the past five days , through 12/22. This after the market hated the Fed’s more hawkish stance last week, being now likely slower to reduce interest rates than previously assumed.

As usual, nothing here should be considered advice to buy or sell any security.