Sunday, June 14, 2026

"OpenAI Considers Drastic Price Cuts, Anticipating War for Users With Anthropic"

From Financial News London, June 10:

The company might lower prices for tokens, the central unit for gauging AI costs, though the discussions are still in flux 

OpenAI is considering drastically lowering the prices it charges users as it seeks to win customers from its rival Anthropic.

The company is weighing significant cuts to what it charges for tokens, the unit of measurement artificial-intelligence firms use to bill for their products, according to people familiar with the matter. The move would be in anticipation of similar cuts the company expects at Anthropic, the people said.

Business executives have begun to balk at the high prices for AI usage. OpenAI Chief Executive Sam Altman said at a recent event that costs had become “a huge issue.”

“I think we’ll have a lot of ways we can help people get more value for less spend,” he said.

Drastic price cuts could potentially erode the profit margins of both companies, which already lose billions of dollars because of the enormous cost for computing resources needed for AI systems to process queries and carry out tasks.

OpenAI is trying to catch up with its younger rival in the race to win enterprise customers that are paying large amounts of money for AI tools that can improve workplace productivity. Anthropic’s revenue recently surged after its coding tool Claude Code went viral among software engineers, and the five-year-old startup surpassed OpenAI’s valuation for the first time. OpenAI has since made its own coding tool Codex a focus of the company....

....MUCH MORE 

 

Look Back In Anger: Masking And The SARS-CoV-2 Virus

The first half of the headline is the title of a 1958 play.

For our purposes it would more accurately be "Look Back In Rage" as the....well, let's get to the link before I...

From, of all places, Outkick, February 24, 2026:

Pro-Maskers Accidentally Admit Masks Don't Work, Debunking Anthony Fauci And Years Of Mandates 

It's obvious to anyone who paid even the slightest amount of attention to COVID outcomes that masks do not work. The evidence against masking is overwhelming, from the decades of studies that confirmed masks did not stop respiratory infections, to years of universal masking failing to stop or even moderately slow the spread of the virus during the pandemic. 

But there are a committed few, like Japanese soldiers continuing to fight years after the end of World War II, who are pushing for universal permanent masking. 

RELATED: Data From 2020 On Mask Usage Provides Yet Another Example Showing Masks Don't Work

For those who claim to follow science, their decision to ignore the evidence against masking is humiliating denialism. Akin to arguing against gravity or that the earth revolves around the sun. But in a remarkable feat of self-humiliation, some of the endless maskers wrote a lengthy letter to the World Health Organization that accidentally undermined the entire public health profession, their argument, and their religious leader, Anthony Fauci

https://images.outkick.com/static.outkick.com/www.outkick.com/content/uploads/2023/08/1336/752/GettyImages-1304108087.jpeg?ve=1&tl=1 

Forever Maskers Accidentally Admit Masks Don't Work
In a new letter to the WHO head, Tedros Adhanom Ghebreyesus, several mask fanatics, in an effort to promote the use of N95 respirators, claim that surgical masks do not "provide adequate protection against flu-like illnesses including COVID," according to The Guardian. The letter says that there is "no rational justification remaining for prioritizing or using" surgical masks, because they provide "inadequate protection against airborne pathogens."

Hilariously, one of the organizers of the letter, Professor Adam Finkel of the University of Michigan School of Public Health, also debunked one of the most popular pro-masking arguments. Anyone who argues against masking on social media has come across someone responding, "Well, if masks don't work, why do doctors wear them?" Ignoring, of course, that not all doctors wear masks, only surgeons do. 

But Finkel specifically highlights that those masks were never supposed to stop viruses or respiratory infections, but were "invented to stop doctors and nurses from sneezing into the guts and the hearts of patients."

Finkel went further, saying that surgical masks are to respirators as typewriters were to computers. Those masks, he continued, are "obsolete." 

So the forever maskers now admit that cloth or surgical masks do not stop airborne viruses. They admit that surgeons do not wear masks to stop respiratory viruses, and that wearing lower-grade masks, the exact type worn by the vast majority of the world for years on end to stop COVID, could not have possibly stopped COVID. Incredible. All the masking we did was never going to work, because surgical masks don't work. According to people pushing for permanent masking. 

And for reference, here's how disastrous this is for Fauci and all the advocacy he did in favor of cloth masking. 

In 2020, Fauci told the American Medical Association that "We need, as a nation, to show a degree of consistency of everybody following public-health recommendations on wearing masks or other face coverings...The goal should be universal wearing of masks." Masks or face coverings, he said. The exact type that his followers now acknowledge doesn't work. 

In April of that year, he told PBS that it doesn't matter what type of mask you wear, it just needs to be some type of "facial covering" in order to stop COVID.

"We want to make sure that this issue of having a broader community approach towards putting on a facial covering doesn't, in fact, get in the way of the primary purpose of masks... That's why what we're talking about are things that may not necessarily need to be a classical mask, but could be some sort of facial covering."

In that same interview, he said, "we’re talking about cloth or fabric masks," when recommending which type people buy. Then, of course, as masks were failing everywhere, he turned to recommending double masking, saying to layer surgical and cloth masks.

"If you have a physical covering with one layer, you put another layer on, it just makes common sense that it likely would be more effective," he said, defying science with one of the dumbest, most indefensible remarks from a public health expert in the history of the United States....

....MUCH MORE 

Anyone who had sixth grade biology knew how small a virus is and how ridiculous the idea of masks that were intended to stop spit bubbles, stopping a virus was, and they knew it in real-time, January/February 2020. Actually you didn't even need sixth grade biology. The outro from an earlier Outkick article, August 2022's "YouTube Now Allows Users to Say Masks Didn’t Stop COVID Spread":

It wasn't just the "experts". There was a whole tribe of twitteratti passing that misinformation around.

And then there was the smart-ass eight-year-old who asked "If I can smell a fart through the mask does that mean it's working or not?"

Go away kid, you bother me.

Combined with the quarantining the healthy and this: "Six Years Ago: The Moment Millions Of People Lost Their Faith In Science" and...I'd better stop now.

"Is Jeff Bezos’ New Startup An Even Bigger Idea than Amazon? He Tells CNBC it Will Drive ‘Civilizational Wealth.’"

From 24/7 Wall Street, June 11:

Quick Read

  • Bezos co-founded Prometheus to compress the invention-to-manufacturing timeline, arguing it targets a larger market than Amazon (AMZN) by accelerating civilizational wealth creation.

  • Prometheus is private with no public shares, but semiconductor beneficiaries like Lam Research (LRCX) and KLA (KLAC) sit closest to the AI infrastructure boom it depends on.

  • Bezos calls an 'artificial general engineer' a decades-old dream that only became achievable recently, with Prometheus quietly building toward it since late 2024.

Jeff Bezos sat down with CNBC on June 11, 2026, to make the case that his next act could become even bigger than Amazon. As co-founder and co-CEO of Prometheus, Bezos is pitching a thesis that tries to answer one question: What actually makes societies rich? 

His answer is invention. "What drives the wealth of nations? What drives civilizational wealth? And the answer is invention," Bezos said. That framing is the philosophical foundation of Prometheus, a physical AI company aiming to compress the timeline between idea and manufactured object.

The Plow, the Steam Engine, and Now Software
Bezos reached deep into history to argue that breakthroughs in tools translate into broad-based prosperity. "6,000 years ago, somebody invented the plow, and we all got wealthier. Much later, somebody invented the steam engine, and we all got wealthier. These things drive productivity," he told CNBC. He argues that durable wealth comes from inventions that lift the productivity ceiling for everyone, not just the inventor.

Prometheus wants to be the next entry in that lineage. Bezos described the company's purpose this way: "Our goal at Prometheus, what we're working on, is building a set of tools that accelerate that invention loop. How long does it take to improve something? How long does it take from idea to actually manufacturing, to seeing it at rate and have a useful object?"

Time-to-market is the key variable they're looking to shrink. If a software platform can shave years off the path from concept to scaled production, the compounding effect across industries could be enormous....

....MUCH MORE 

On June 12th 24/7 Wall Street posted a follow-up that had the labor/jobs question in the headline: "Jeff Bezos’ New Venture Just Raised $12 Billion. He’s Betting AI Will Create a Physical Labor Shortage.

All of which echoes our old pal Stanley Jevons on coal usage: 

The outro from March 25's "Memory: "Google Breakthrough Spurs Chip Selloff Despite Analyst Doubt" (GOOG)": 

As noted exiting from January 2025's "ASML CEO Says DeepSeek’s Emergence Is ‘Good News’ for AI": 

Time was when even mentioning Jevons was anachronistic/borderline fuddy-duddy, e.g.

And he's brought his paradox.

And going back to 2009 because Jevons, like myself, tried to figure out a way to make some money off of Herschel's sunspot observations but (like myself) couldn't. Backlinks in April 2020's "Sunspots and Agricultural Production (William Herschel does a driveby)": including his (Jevons') 1879 submission to the journal Nature.

And back to Bezos, our June 11 post on the fundraising has a few of our backlinks on Prometheus:

"Bezos’ AI startup Prometheus raises $12B at $41B valuation, and the CEOs explain what they’re doing"

Saturday, June 13, 2026

"Westinghouse Goes For Broke"

Sometimes you just have to do it.

From Delancey Place, May 12:

Today's selection-- from Empires of Light by Jill Jonnes. George Westinghouse, chief competitor to Thomas Edison, made a bold gamble for the 1893 World Fair: 

“On Monday, May 16, George Westinghouse and Charles Terry arrived at the World's Fair's offices in the Rookery, a Burnham building on LaSalle Street, where almost two dozen men had assembled. Some were already nervously smoking cigars. Chief Burnham and the other members of the Committee on Grounds and Buildings were installed at a long table, where sat the sealed iron bid box. Sitting in other chairs were Captain Eugene Griffin, a second vice president for General Electric, and the firm's two local managers. 

Once Westinghouse and Terry were also seated, all waited expectantly as the bid box was unlocked and unsealed. Cigar smoke drifted about amid the low whispering. The final electrical joust was about to begin. Once again there were only two bids. General Electric's was read aloud first. Their new DC-only bid was $577,485, their new AC-only bid $480,694. As every man sitting in that Rookery office was well aware, these new General Electric bids were a shameless one-third the company's original $1,720,000 bid. There were various murmurings and men glancing at one another. Then, as the new Westinghouse bids were taken up to be read, silence descended, only the street noises filtering through. Westinghouse's bid for a combination of DC and AC was $499,559. The GE men squirmed and looked unhappy. Westinghouse was undercutting the trust. 

Westinghouse's AC offer for all ninety-two thousand lights was $399,000, $80,000 below the trust's best bid. Daniel H. Burnham, fair construction director and a forceful man of definite opinions, said promptly that the contract should go to Westinghouse. But the other committee members balked. One later memoir claimed that some were 'stockholders in the General Electric Company' still determined to see Coffin prevail. The committee retreated to a locked office. Hour after hour passed. The lights in the nearby buildings had gone dark. At 7:00 P.M., when the janitors began cleaning the halls and offices, the exhausted committee men agreed to reconvene the next morning. As they all left, Westinghouse said to a Daily Interocean reporter, 'There is not much money in the work at the figures I have made, but the advertisement will be a valuable one and I want it.' 

“And so, Tuesday morning, as the lovely spring weather held, the joust resumed at the Rookery. Captain Griffin of GE sulkily insisted that George Westinghouse could not possibly carry out the contract, because, reported the Chicago Tribune, 'his patents...were involved in litigation. [GE] had injunction proceedings instituted against the use of the lamp which Mr. Westinghouse proposed to furnish.' Westinghouse laughed affably, responding, 'There wasn't the slightest question about his ability to furnish the lamps desired.' Another fair director complained in exasperation to the Daily Interocean, 'For many years the Edison Company contented itself with flooding the country with circulars trying to ridicule the Westinghouse system. One morning it suddenly awoke to find it had a competitor. Now it says that if the contract is given to Westinghouse an injunction will head him off.... One moment's thought will show how great a bluff is made.'....

....MUCH MORE 

"Information overload is nothing new"

 From The Economist's 1843 Magazine, June 21, 2018:

Overflowing inboxes, endlessly topped up by incoming emails. Constant alerts, notifications and text messages on your smartphone and computer. Infinitely scrolling streams of social-media posts. Access to all the music ever recorded, whenever you want it. And a deluge of high-quality television, with new series released every day on Netflix, Amazon Prime and elsewhere. The bounty of the internet is a marvellous thing, but the ever-expanding array of material can leave you feeling overwhelmed, constantly interrupted, unable to concentrate or worried that you are missing out or falling behind. No wonder some people are quitting social media, observing “digital sabbaths” when they unplug from the internet for a day, or buying old-fashioned mobile phones in an effort to avoid being swamped.

This phenomenon may seem quintessentially modern, but it dates back centuries, as Ann Blair of Harvard University observes in “Too Much to Know”, a history of information overload. Half a millennium ago, the printing press was to blame. “Is there anywhere on Earth exempt from these swarms of new books?” moaned Erasmus in 1525. New titles were appearing in such abundance, thousands every year. How could anyone figure out which ones were worth reading? Overwhelmed scholars across Europe worried that good ideas were being lost amid the deluge. Francisco Sanchez, a Spanish philosopher, complained in 1581 that 10m years was not long enough to read all the books in existence. The German polymath Gottfried Wilhelm Leibniz grumbled in 1680 of “that horrible mass of books which keeps on growing”.

The solution was to develop a new set of mechanisms to classify and retrieve information. One example was the introduction, in the late 17th century, of scholarly journals that included book reviews, helpfully filtering and summarising (and in some cases excerpting) notable titles. The editor of one French journal noted in 1688 that reviews could act as a remedy for the “flood and overflow of books”. Another response was to expand the traditional canon of trusted authorities on particular topics, an idea dating back to antiquity, into more detailed bibliographies, or lists of recommended titles. And the centuries-old practice of prefacing longer works with a “list of headings” was refined and developed in two directions to help readers find passages of interest within individual books. Printed books, unlike manuscripts copied by hand, had fixed pagination. This allowed for detailed tables of contents, with page numbers, and indexes ranking subject headings alphabetically.

The development and adoption of these new tools took some time, and was not without controversy. As early as 1691, book reviewers were being accused of not having read the works under consideration. And writers fretted that jumping directly to particular passages meant that readers would fail to appreciate texts fully. Jonathan Swift complained in 1704 of people “who pretend to understand a book, by scouting through the index”, a trick he condemned as “index learning”. Some 18th-century authors even refused to allow their books to be indexed, to force people to read them all the way through. Fewer people worry about information overload from books these days. We accept that nobody can read everything. What were once clever new navigational tools now seem simple and obvious....

....MORE 

Closely related, information storage and retrieval:

Could You Use A Second Brain? "The Filing Cabinet: A Vertical History of Information"

***

Information Infrastructure: The Filing Cabinet
I admit it. I get a bit obsessive with information storage and retrieval. As noted in an April 2020 post:

"The FBI built a fake town to train agents for cyberattacks. It has a hospital, a power company, and 200 servers."

From The Next Web, June 13:

The 22,000 square-foot Kinetic Cyber Range in Huntsville simulates ransomware attacks on live systems as US cybercrime losses hit a record $20.9 billion 

https://media.thenextweb.com/2026/06/fbi-kinetic-cyber-range-replica-town-cyberattacks.avif 

TL;DR

The FBI built a 22,000 sq ft replica town to train agents on live cyberattacks. It has a hospital, houses, and 200 servers. 1,400 students trained since Feb 2025.

The FBI has revealed a 22,000 square-foot replica town on its Huntsville, Alabama, campus built to train law enforcement in simulating and investigating real-world cyberattacks. The Kinetic Cyber Range opened in February 2025 and has trained more than 1,400 students, including FBI personnel and partners from other federal and local agencies.

The facility features fully furnished houses, a hotel, a gas station and grocery store, a courthouse, a hospital, and a power company. It has roads and traffic lights. Every building is wired with functioning devices and systems that behave as they would in a real US community, while preventing any simulated attacks from escaping the facility.

The range includes a data centre with more than 200 physical servers, some running Windows, some Linux, reflecting the corporate environments investigators encounter during breach responses and search warrants. “They’re cold, they’re cramped, they’re noisy, they’re dark, they’re miserable,” said Dave Beachboard, the range’s programme manager, describing the conditions investigators need to train for....

....MUCH MORE 

Huntsville is home to NASA's Marshall Space Flight Center, hence the Saturn V Mart. 

Possibly related, May 18's "UN leads call to prepare ‘for when digital systems fail’

I see headlines like that and wonder if they know something that I should know.
And then I think "Nah, it's probably nothing."...
***
With the outro:

If interested see also "The WEF - Carnegie Endowment Cyber Threats Report" wherein the suggestion is made that the thing to do in anticipation of cyberattacks is merge the major banks, their regulators, and law enforcement into one entity.

And related:

"Japan Airlines to launch lunar transport service, allowing items to be preserved for the future"

I guess that will make the New York to Singapore flight that Singapore Airlines runs only the second longest commercial flight.

From Singapore's Straits Times, May 27:

https://cassette.sphdigital.com.sg/image/straitstimes/03087c03244c9125145d44c4b381af80a4cad7c644a3e24519a201dd5d444357 

Using ispace landers, Mobius Ark will carry regional specialties and products 
representative of local businesses to the Moon’s surface. PHOTO: ISPACE_INC/X

Japan Airlines (JAL) will launch a service to transport containers to the moon, the firm announced on May 26.

JAL will sell partitioned spaces within the containers to businesses and local governments, enabling them to pack and transport products, such as regional specialities, they wish to preserve for future generations.

This will be the world’s first lunar transport service operated by an airline, according to JAL. For the inaugural shipment, the company plans to load a special container onto a lunar lander to be launched in 2028 by the Tokyo-based start-up ispace....

....MUCH MORE 

"US Releases Information On Biolabs In Over 30 Countries, Including Ukraine"

 From Radio Free Europe/Radio Liberty, June 12:

The director of US National Intelligence (DNI) has released evidence that her office says shows "longstanding" United States government funding for more than 120 biolabs in over 30 countries where research on biological pathogens, some dangerous, is conducted.

"These biolabs include labs in Ukraine, which may be at risk of compromise due to the ongoing Russia-Ukraine war," the DNI's office said in a statement on June 12.

"For example, the Intelligence Community previously warned that a US-funded biolab in Ukraine likely housed dangerous pathogens and remained vulnerable to longstanding threats of Russian attack, seizure, or damage," it added.

The unusual move by Tulsi Gabbard came just days before her departure as DNI, which oversees an intergovernmental office set up to coordinate information sharing among the sprawling US intelligence community. It wasn't immediately clear why Gabbard was releasing the information. Nor was it clear that it contained anything new or revelatory.

For years, under something called the Cooperative Threat Reduction program, the US government has funded efforts to safeguard Cold War-era research programs -- mainly rooted in Soviet programs that developed biological and chemical warfare technologies.

Some of the holdover Soviet facilities were located in Kyiv, in Tbilisi, and other places around the former Soviet Union....

....MUCH MORE 

Here is https://www.dni.gov/files/BIOLAB_Slides.pdf 

We've gone from instant and complete denial that the labs existed to "the research was perfectly ordinary to safeguard public health." Or, "American funding was to make the biolabs more secure. That's all."

There is so much more to come. 

If interested see also:

May 20 - "U.S. probing whether Chinese companies cut production of shipping containers before COVID pandemic"

June 2 -  Flashback: China Began Hoarding Personal Protective Equipment Months Before The Covid-19 Pandemic Was Declared

As noted introducing May 28's "For the Public, Covid Is No Longer a Mystery":
Over the next six months there will be a lot of information coming out regarding coronavirus, Covid-19 and the responses thereto. A lot. 

"What it costs to deploy 1GW of Nvidia Vera Rubin infrastructure?" (a lot)

From Investing.com, June 12:

A Bernstein report estimates that building 1 gigawatt of AI data center capacity using Nvidia’s upcoming Vera Rubin architecture could cost roughly $47 billion [sic], highlighting the growing capital intensity of next-generation AI infrastructure. 

The report estimates a typical Vera Rubin NVL72 rack will cost about $9.1 million, above the widely cited $8 million figure. 

Analysts attributed the difference primarily to higher expected memory costs, particularly High-Bandwidth Memory (HBM), which they expect to become significantly more expensive by the time Rubin systems are deployed at scale in 2027.

Memory and storage are projected to account for roughly $3.2 million per rack, while GPUs remain the largest cost component at around $4 million. Networking infrastructure is expected to contribute another $1.2 million, with cooling and power delivery costs estimated at roughly $150,000 each.

Based on a rack power rating of 220 kilowatts and an estimated 3,557 racks per gigawatt, the report calculates rack-related costs of about $32 billion per gigawatt. 

Adding approximately $15 billion in physical infrastructure expenses brings the total AI data center capital expenditure to around $47 billion per gigawatt.

Despite rising costs, analysts see substantial gains in computing performance. 

The Vera Rubin NVL72 architecture is expected to deliver 2,520 FP8 petaflops per rack, compared with 720 petaflops for Nvidia’s Blackwell generation, implying significant improvements in compute capacity per dollar invested.

The report also argues that hardware depreciation, rather than operating expenses, increasingly drives data center economics. 

At an electricity cost of $0.15 per kilowatt-hour, running 1 gigawatt of AI data center capacity would cost roughly $1.3 billion annually in power, compared with about $7.9 billion in annual depreciation expenses under a six-year hardware life cycle....

....MORE 

Liquidity: "China's central bank to conduct 600-bln-yuan outright reverse repo operation"

Lifted in toto from Xinhua, June 12: 

BEIJING, June 12 (Xinhua) -- The People's Bank of China, the country's central bank, announced on Friday that it will conduct a 600-billion-yuan (about 88 billion U.S. dollars) outright reverse repo operation on Monday to maintain ample liquidity in the banking system.

The operation will have a fixed quantity and be carried out through interest-rate bidding, with winning bids determined at various price levels. It will have a tenor of six months, or 183 days, according to the central bank.

A total of 600 billion yuan of six-month outright reverse repos will mature in June. This implies that the central bank's upcoming operation constitutes a rollover of the same amount, ending three consecutive months of reduced volume operations.

Outright reverse repo operations, a tool the central bank introduced in October 2024 to manage liquidity in the national banking system, are conducted each month with a tenor of no more than one year.

"OpenAI under investigation by group of state attorneys general, source says"

From Reuters, June 12:

A coalition of U.S. state attorneys general has opened a sweeping ​investigation into OpenAI, a source familiar with the matter said ‌on Friday.
 
The ChatGPT maker was served on Friday with a subpoena seeking documents related to a wide range of its activities and the impact on users, including ​advertising, user engagement and retention, and the handling of consumer and ​health data, the source said.
 
The subpoena, sent by New York's ⁠attorney general, also seeks information on activities related to minors and ​seniors, deep learning models and internal company policies, the source added.
 
The probe ​represents the latest legal challenge for IPO-bound OpenAI, which is being sued by Florida for allegedly misrepresenting the safety of its ChatGPT platform.
The source declined to be identified while ​discussing the investigation, which has not been publicly announced.
 
An OpenAI spokesperson ​said: "AI is a new and powerful technology, and we work every day to safely ‌bring ⁠its benefits to people in a responsible way. We take the concerns raised by state attorneys general seriously and intend to engage constructively with their offices." 
The Wall Street Journal first reported the probe on Friday....
....MORE 
 
Possibly putting at risk:
 
Sanders: Give public 50 percent stake in AI companies 

Sen. Bernie Sanders (I-Vt.) on Monday said that he will soon introduce a bill proposing to give the public a 50 percent stake in large artificial intelligence (AI) companies. 

In a nearly seven-minute video message, the progressive senator said that he will introduce the AI Sovereign Wealth Fund Act “in the coming weeks.” He said that the legislation would give the public “a direct ownership stake” in the country’s largest AI companies via a one-time, 50 percent tax on their stocks.

“It would do two extremely critical things,” Sanders said of his legislation. “First, it would give the American people a direct role in determining the future of this technology. No longer would the future of AI be dictated by a handful of Big Tech oligarchs, while the rest of the world sits back and watches them do what they want.

“Secondly, it would guarantee that the trillions of dollars potentially generated by AI are used to improve the lives of all of us — not simply to make the richest people on Earth even richer.”...

....MUCH MORE at The Hill 

"Hidden persuaders When behavioural economics meets politics By Edward Chancellor"

From the Times Literary Supplement, June 12:

Mainstream economic theory assumes that agents have stable, well-defined preferences and make rational choices consistent with those preferences. Behavioural economics, which introduces a social and psychological dimension to describe how people really behave, has long challenged such assumptions.

At first glance, this upstart discipline appears to have enjoyed considerable success. Three of its leading exponents – Daniel Kahneman (1934–2024), Robert Shiller and Richard H. Thaler – have received Nobel prizes in economics, and each has written a bestselling book popularizing his work. Behavioural psychology has also influenced public policymaking across the western world. Yet, as two new books reveal, this discipline has had little impact on how economics is taught. At the same time, the success of so-called “nudge” policies appears to have been overstated. More troublingly, during the pandemic they served as a propaganda tool for installing widespread fear in the populace, with little or no consideration for the harmful side effects.

Thaler’s The Winner’s Curse (1992), a landmark publication of behavioural economics, has been reissued in a new edition co-authored with Thaler’s colleague at the Chicago Booth School of Business, Alex O. Imas. The original book identified a number of “anomalies” that are at odds with the assumptions of modern economic theory, most of which are republished here with updates. For instance, economists teach that agents act rationally to maximize expected gains. Yet Thaler showed that winners in competitive auctions have a systematic tendency to overpay. The original finding related to successful bidders for oil leases and was confirmed in classroom experiments. The “curse” was later found to hold for winners in contests for corporate control and publishers’ bidding wars for new books.

Another anomaly revealed that people favour co-operation and are willing to experience losses in order to ensure a fair outcome. This contradicts the notion that economic agents are driven by selfish rationality. A further famous anomaly discovered by Thaler involved him handing out mugs to some of the students in his class. The students who received the mugs turned out to value them more highly than those who didn’t. This finding he called the “endowment effect”. Then there is the question of the price of time. Economists assume that people employ the same discount rate to benefits (or costs) that accrue over different periods of time (what is known as the “exponential discount model”). But Thaler and his one-time collaborator George Loewenstein showed that actual behaviour is often not time-consistent: we tend to be more impatient for, and thus to overvalue, immediate rewards compared to deferred ones (what is called “quasi- hyperbolic discounting”).

Economists also teach that money is fungible – that one dollar is exactly the same as another. But Thaler showed that decisions about spending or saving can be influenced by where the money comes from: earned income and dividends are more likely to be consumed than capital gains and other windfalls. “Mental accounting” explains why some people keep money earning little interest in a savings account while borrowing at usurious rates on their credit cards.

In the first edition of The Winner’s Curse, Thaler expressed the hope that his collection of anomalies would result in a “new improved version of economic theory”. But no paradigm shift occurred. This new edition laments that “mainstream economics textbooks remain firmly anchored in the standard neoclassical framework”. The reason for this lack of change is partly because, as Thaler and Imas suggest, conventional economics, which assumes consistency and optimization by economic agents, is mathematically tractable and provides clear predictions, while behavioural anomalies are difficult to model.

But that’s not the whole story. The legal scholar Richard Posner long ago dismissed behavioural economics as mere “cognitive quirks”. In the grand scheme of things, he argued, their significance is easily overstated. For example, while Thaler’s students may exhibit an endowment effect when handed a mug in the classroom, this finding doesn’t hold for professional traders. An oil company that persistently pays too much for drilling leases will eventually be driven out of business. Publishers compensate for the winner’s curse in their bidding wars by paying out a miserly share of sales receipts to their other authors. Companies that appear to overpay for acquisitions often use their own overpriced shares in payment, as was the case when the internet high-flyer America Online acquired the media giant Time Warner in 2000.

As the behavioural economists well understand, apparent violations of economic theory can arise because of the difficulty of exploiting market mispricings. Until five years ago, the energy company Shell was listed under different corporate entities in Holland and the UK. The Dutch and British shares often traded at different prices despite having the same fundamental value. This was a clear violation of the law of one price, says Thaler. In principle, traders should have been able to turn a quick profit by selling the higher-priced shares and buying the cheaper ones. In practice, the risk that the mispricing might become more extreme made them cautious. Such “limits to arbitrage” are relatively common in financial markets, but aren’t sufficient to justify a complete overhaul of modern finance theory. If anomalies can be traded profitably, they will be.

Thaler’s claim that behavioural quirks are systematic and persistent is doubtful. Exponents of market efficiency maintain that share prices contain all available information and that their future movements are unpredictable. The Winner’s Curse, on the other hand, pointed out that stocks are, in fact, mean-reverting: outperforming shares tend to do less well in the medium term, while underperformers tend to recoup their losses. In other words, their future performance is somewhat predictable. The book drew attention to another finding showing that shares that had historically traded cheaply relative to their earnings or book value (known as value stocks) tended to deliver above- average returns.

These observations were actionable and have been acted on. Today, trillions of dollars are invested in value and other quantitative “factors”. (Thaler himself is involved in an investment firm that adopts this approach.) Yet, as shown by the latest edition of UBS’s Global Investment Returns Yearbook (2026), the excess returns delivered by factor-based investing have diminished in recent years as more and more dollars have pursued a limited opportunity set. This appears to support the “adaptive market hypothesis” of the MIT economist Andrew Lo, which asserts that market inefficiencies, behavioural or otherwise, do not persist indefinitely. Value stocks have delivered their greatest returns when they were abnormally cheap. Behavioural economists, who assume that human irrationality is unchanging, overlook this important detail.

Thaler and Imas admit that behavioural economics has produced no standard overarching general theory. There is nothing in the new book about macroeconomics because Thaler says he couldn’t come up with a sharp anomaly in that field. What this means is that behavioural economics has nothing to say about the most significant economic questions of the day, such as the collapse of productivity growth across the developed world, the credit crunch of 2008 or the recent return of inflation.

Because Thaler confines his research to individual behavioural quirks, he wasn’t among the few behavioural economists who anticipated the dangers posed by the technology bubble of the late 1990s or the credit boom and bust that followed. Shiller, the author of Irrational Exuberance (2000), which was published as the tech bubble peaked, has a better record in this respect. But behavioural economists in general failed to recognize the role that falling interest rates, in particular, play in stimulating bubbles. They resemble the doctor who mistakes the sweat on the patient’s brow for the disease and has no knowledge of the real source of the fever.

In 2008, Thaler and Cass Sunstein published Nudge: Improving decisions about health, wealth, and happiness. The book set out to show that behavioural insights could be used to improve public policy outcomes. The aim was to influence people’s behaviour by changing the context in which decisions are made, the nudge being defined as “any aspect of choice architecture that alters people’s behaviour in a predictable way without forbidding any options”. The book sold millions and attracted the attention of the incoming British prime minister David Cameron. In 2010, Cameron set up a Behavioural Insights Team (familiarly known as the Nudge Unit) in the Cabinet Office. Shortly before entering office, the prime minister had proclaimed in a TED Talk that “behavioural economics can transform people’s behaviour in a way that all the bullying and all the information and badgering from a government cannot possibly achieve”. Nudges were seen as elegant solutions to human shortcomings; they suited the prevailing individualistic ethos, were inexpensive to implement and politically uncontroversial.

It was not surprising that the “libertarian paternalism” of nudging appealed to the Eton-educated One Nation Tory. Before becoming an MP, Cameron had served as the head of communications for the British media company Carlton Television. Many of the insights of behavioural economics – such as inertia, present bias, peer pressure, risk aversion and the influence of context on decision-making – are well known in the world of marketing and public relations. (Robert Cialdini, the American marketing guru and author of the bestselling Influence, 1984, attended Nudge Unit seminars, along with Kahneman and Thaler.)....

....MUCH MORE 

Previous visits with Chancellor:

September 2020 - Edward Chancellor: «Prudent Investing is Impossible These Days»
We like Edward Chancellor.

May 2016
Lessons From the Mississippi Bubble--Edward Chancellor 
Whenever emerging markets felt a little too frothy this last decade we'd trot out a bit of Chancellor profundity:

"Emerging market speculation tends to appear at a juncture in the economic cycle when 
declining yields on domestic bonds combine with an excess of capital to make 
foreign investments particularly attractive."
-Edward Chancellor
Chapter 4, Fool's Gold: The Emerging Markets of the 1820's
And from The Market.ch, September 11:....

July 2022 - Interest Rates: William J. Bernstein Reviews Edward Chancellor's "The Price of Time"
Two very sharp people.

September 2022 - Someone Who Really Understands Interest Rates: Edward Chancellor On "The Price of Time"

January 2024 - Edward Chancellor Reviews Friedrich Hayek

And many more.

And on some aspect of the behaviorists:

Nudge Guy Say Nudges Good, Critics Bad
Have I mentioned I don't like the nudge people?
Ah, I see I have. More below

Cass Sunstein via the Social Science Research Network:

Misconceptions About Nudges 
12 Pages Posted: 9 Sep 2017  
Cass R. Sunstein Harvard Law School; Harvard University - Harvard Kennedy School (HKS)
Date Written: September 6, 2017
Abstract
Some people believe that nudges are an insult to human agency; that nudges are based on excessive trust in government; that nudges are covert; that nudges are manipulative; that nudges exploit behavioral biases; that nudges depend on a belief that human beings are irrational; and that nudges work only at the margins and cannot accomplish much. These are misconceptions. Nudges always respect, and often promote, human agency; because nudges insist on preserving freedom of choice, they do not put excessive trust in government; nudges are generally transparent rather than covert or forms of manipulation; many nudges are educative, and even when they are not, they tend to make life simpler and more navigable; and some nudges have quite large impacts. 
SSRN download page 

Previously on Nudge:
June 2017
"The Limits Of Persuasive Realities: Hacking The Brain Stem With VR Marketing Technologies"
I should probably state my biases right up front, I don't much care for the "nudge' people.

August 2013
"Nudge Squad": White House Creating "Behavioral Insights Team" that Will Look for Ways to Subtly Influence People's Behavior to Get Us to All Act "Better"
Nudge Squad.
Sounds like a '70's chimera: Mod Squad meets Esalen Institute.*


September 2015 
Updated--Cass Sunstein: Score! Presidential Executive Order -- "Using Behavioral Science Insights to Better Serve the American People"

Possibly also of interest:
Nudge This: "The Internet of Things Will Be a Giant Persuasion Machine"
 
Nudge This: "Yes, You’re Irrational, and Yes, That’s OK"
 
March 2015
Nudge This: "The Algorithmic Self"
The writer,  Frank Pasquale, is a professor of law at the University of Maryland, and is the author of the forthcoming book The Black Box Society: The Secret Algorithms That Control Money and Information.
And, on the off chance Bloomberg View's Matt Levine should see this, 38 footnotes! 

September 2014
Behavior: We Are More Rational Than Those who Try To 'Nudge' Us

I don't care much for manipulators.
For a time however I tried to work the word into every conversation. I knew a finance guy who, for whatever reason, could not say the word, when he tried it came out as 'nipulators.'I loved it when he'd go on a rant about the nipulators and nipulation, I'd egg him on and just melt when he got going.
Good times....

And most artfully: 

October 2022 -  Behavioral Economics: "We don’t have a hundred biases, we have the wrong model"

November 2016
All the Cognitive Biases In One Chart
Via the Incidental Economist:

http://theincidentaleconomist.com/wordpress/wp-content/uploads/2016/11/cog-bias.jpeg

Friday, June 12, 2026

"We Are Crowdsourcing the Panopticon: Authorities routinely feed your videos into their surveillance databases"

From IEEE Spectrum, June 10:

A man raises his phone as police move into a crowd. The video is shaky, loud, immediate. Within minutes, it is online. Within hours, it is everywhere. This is how accountability works now. Something happens, someone records it, and that footage can show what really happened, sometimes contradicting official accounts. It can empower citizens and create consequences for officials.

But the footage’s life cycle does not end there.

In recent months, civil liberties groups have warned that adding facial recognition to consumer smart glasses could turn everyday recording into something more troubling: real-time facial identification. It reflects a broader shift already underway, where images and videos captured for one purpose can later be searched, matched, and used for another.

An ouroboros is an ancient Egyptian symbol, a snake or dragon eating its own tail. As I began to see patterns in my broader research on surveillance corporatism and governance lag, I began using the term “surveillance ouroboros” to describe this recursive pattern of observations intended to hold power accountable becoming new input for the same surveillance infrastructure.

Facial recognition changes accountability
During the George Floyd protests in 2020, people filmed police in real time. Phones were pointed at officers, not at each other. The goal was simple: to show what the state was doing. That footage spread quickly and became part of a much larger pool of public data.

At the same time, reporting from outlets including The New York Times and BuzzFeed News showed that law enforcement agencies were using facial-recognition tools, including systems built by Clearview AI. Those systems were built from billions of images scraped from across the internet, including publicly available photos and videos.

The basic approach is now routine: People record the state, or anything else (as in the January 6 attack on the U.S. Capitol), and the state compiles that footage and data into a searchable environment, which may later be used to identify some of the same people who made the footage.

Facial-recognition systems used by law enforcement are increasingly outpacing the legal safeguards.

A 2023 Government Accountability Office review found that federal law enforcement agencies continued to expand their use of facial-recognition systems for criminal investigations despite ongoing concerns around training, privacy protections, civil-liberties safeguards, and oversight. Earlier GAO findings showed that agencies had conducted roughly 60,000 facial-recognition searches before formal training requirements were put in place for personnel using the systems.

The American Civil Liberties Union and other groups have warned that these tools could be used to identify people from images shared online, including protest-related footage. Concerns about facial recognition led some U.S. states and cities, including San Francisco and Boston, to restrict or ban government use of the technology, while federal agencies have continued to face scrutiny over how such systems are tested, deployed, and audited. A 2024 analysis published in Internet Policy Review warned that facial-recognition systems used by law enforcement are increasingly outpacing the legal safeguards meant to govern them, creating growing tensions around data protection, oversight, and proportional use.

The spy network that built itself

Surveillance used to require infrastructure. Cameras had to be installed, and data had to be collected deliberately. That is no longer the case. People carry cameras everywhere. They record constantly and upload in real time. Events are documented from multiple angles without planning or coordination. The cumulative result is a continuous stream of usable data: faces, locations, timestamps, and interactions. The Internet of Things (IoT) also waits all around us, gathering information and releasing it when people least expect it, as Andrew Guthrie Ferguson describes in a recent excerpt of his book Your Data Will Be Used Against You.

RELATED: “Sensorveillance” Turns Ordinary Life Into Evidence

Similar dynamics are emerging globally. A recent analysis in the International Journal of Law and Information Technology examined how facial-recognition systems in China and Japan are expanding faster than the legal frameworks governing them. Reporting by The Guardian described the limited legal protections around the rapid deployment of AI-assisted surveillance infrastructure across parts of Africa.

There used to be a clear distinction between surveillance and accountability. Surveillance meant the powerful watching the people; authorities tended not to share their imagery except under duress or a court order and usually after a long delay. Accountability meant the people watching the powerful and often publishing imagery immediately to head off or counteract official mischief. That distinction no longer holds. The same footage can serve both roles. A recording meant to expose misconduct can later be used to identify someone else entirely.

Surveillance ouroboros is not a future risk. It is already here.

This dynamic persists because people still need to record. In many places, it is one of the only tools available when formal accountability breaks down. When oversight institutions weaken or fail, public documentation becomes a substitute. In that environment, people turn to visibility. But that visibility comes with a cost. The more people that document, the more data that exists. The more data that exists, the easier it is to search, match, and store. Every video feeds the ouroboros. People are not feeding the system because they trust it. They are feeding it because the alternative is silence.

Most of the people in these videos are not the focus. They are in the background, passing by or standing nearby. But that distinction does not matter once the footage enters a system. Today’s facial recognition can identify even a face that passed through the corner of a frame. Someone who did nothing can still become part of a dataset without ever knowing it. As recognition systems improve, older footage becomes more useful—and invasive....

MUCH MORE, including links to previous IEEE Spectrum articles including the voyeuristic "We like to watch."

Regarding cameras, there is a nascent movement to remove bodycams from police officers because the cameras reveal some unpleasant behaviors on the part of those on whom the cameras are focused. 

Regarding panopticons, here's University College London's Faculty of Laws:

The Panopticon

TBC

They still wheel Bentham out for board meetings at UCL:

December 2013 - Why Didn't Anyone Tell Me The Dessicated Corpse of Jeremy Bentham Attended A Board Meeting At University College London?

Though the picture link in our post has rotted (unlike Jeremy) the original at Metro UK is still online:

https://web.archive.org/web/20131006082914im_/http://metrouk2.files.wordpress.com/2013/07/ay_114003836.jpg?w=650&h=432&crop=1#038;h=666 

Point of order: The late Jeremy Bentham joins the farewell committee meeting (Picture: UCL) 

In the run-up to Christmas 2016 we posted "'Can your city change your mind?' (Jeremy Bentham does a cameo) "

http://alexwellerstein.com/collection/images/panopticon_santa.png
The linked article used a photo of Illinois' Stateville Prison* which reminded me of this from Alex Wellerstein, historian of science at the Stevens Institute of Technology.

I like the idea of Santa as Panopticon. Bummer kid, ho, ho, ho.
From Curbed:
The design of our spaces can heal us, hurt us, and alter the way we think...
* Panopticon of F House, Stateville Correctional Center
Illinois State Prison, Joliet, IL 
 
CDN media 
 
The Reddit r/architecture post from which the above picture came notes: 
"Monolithic Dome Design...However, this design caused amplified sound of 350 inmates like a sensory nightmare"  

"Why China is betting on big nuclear reactors"

From MIT Technology Review, June 11:

While companies in the US chase smaller footprints, there are a lot of new large reactors going up in China

It’s a tale of two nuclear industries.

In China, large reactors are coming together at a stunning pace. The country has nearly doubled its nuclear fleet since 2016, reaching nearly 60 gigawatts of total power capacity. The new facilities are nearly all gigawatt-scale pressurized-water reactors.

Meanwhile, the US has built just two reactors in that time—Unit 3 and Unit 4 at Plant Vogtle in Georgia. Smaller reactors are attracting a lot of excitement and investment, though. A microreactor developer just saw its reactor reach criticality in a new Department of Energy pilot program.

The world is racing to meet rising electricity demand, and many countries are interested in energy sources, like nuclear power, that don’t come with greenhouse-gas emissions. The key question: Which of these strategies will really pay off in terms of getting electrons on the grid quickly?  

Today, the US and France are known as leaders in the nuclear industry. The US has the world’s largest fleet, with France coming in second. France is heavily dependent on nuclear for its grid—about two-thirds of the country’s power comes from nuclear reactors.

But they have hardly added any new reactors to their fleets in recent years. The US can point only to Vogtle, and France connected its latest reactor to the grid in December 2024—the first in over 20 years. 

It’s incredibly difficult to build the massive projects that dominate the nuclear industry today. Up-front investment can run well into the billions, so investors need to wait decades to break even. Designs are complex and can often change during the regulatory process, tacking on cost and time. 

Many are hoping that the key to turning things around in these countries could be smaller reactors.

The idea is that shrinking the footprint of a reactor cuts down the initial investment needed to prove out the new technology. The reactors could even be put together in a factory rather than being built on-site, allowing for a lower price over time.

These smaller reactors are the target of tons of interest and investment in the US, including a new Department of Energy pilot program. The department set a goal last year of having three test reactors reach criticality by July 4, 2026, the nation’s 250th anniversary. (Criticality is the point at which a reactor achieves a self-sustaining chain reaction that can release energy.)

Last week, California-based Antares hit the milestone with its Mark-0 reactor. 

The company plans to eventually build microreactors, designed to produce between 100 kilowatts and 1 megawatt of electricity (large reactors on the grid today are at least 1,000 times that size). The core design is a sodium-cooled reactor, and it uses TRISO fuel, self-contained graphite-coated spheres of a more concentrated fuel than what most reactors use today. 

But there is still a long way to go before it can actually produce power—the Mark-0 doesn’t have any power conversion or heat removal systems. The company plans to produce electricity in late 2027 and deploy in the field by 2028, CEO Jordan Bramble told the Associated Press....

....MUCH MORE 

Also at Technology Review: 

Why the grid relies on nuclear reactors in the winter 

"Iranian foreign minister says deal with U.S. 'never been closer'"

From Axios, June 12: 

Iranian Foreign Minister Abbas Araghchi said Friday that an agreement with the U.S. to extend the ceasefire, reopen the Strait of Hormuz and launch negotiations on Iran's nuclear program "has never been closer."

Why it matters: Araghchi's comments on X were the most positive yet from Tehran about the prospects for a deal in the coming days, and appeared designed to prevent the deal from collapsing amid a battle to shape the narrative around it.

  • Pakistani prime minister Shehbaz Sharif, one of the key mediators between the U.S. and Iran, wrote on X that "an agreed upon text of the peace deal has been reached" and Pakistan was working with the parties on next steps.
  • A senior U.S. official told reporters in a briefing on Friday that "we're not quite at the finish line yet, but we are very close." The official added: "We do expect to be signing this agreement over the next few days...I maybe would have said 75% this morning. It's probably more like 80- 85% now, but it's not 100%."
  • Aragchi later told state TV that if a deal is agreed, it will be signed remotely rather than in a joint ceremony.

Driving the news: President Trump, who lashed out earlier on Friday over reports in Iranian state media about the contents of the deal, told Axios in a short call that he considered Araghchi's post "very positive."

  • Trump said he'd demanded a public clarification over the state media reports, which claimed Iran stood to receive billions of dollars in frozen assets immediately after signing the agreement.
  • Trump also claimed Iran had privately "apologized for putting out false information." It's unclear how any such message was conveyed.
  • The president said he still thinks a deal could be signed over the weekend or on Monday.

What they're saying: "The Islamabad Memorandum of Understanding has never been closer. Pending its finalization, the media should refrain from entering speculation about its content. In line with our responsible and transparent approach, all details will be shared with the public in due course," Araghchi wrote....

....MUCH MORE 

Silicon Dreams: That One Day, Should All Humanity Die In A Plague, That AI Will Be Able To Harness The Energy And Extract The Physical Resources To Go On Forever

That's not my dream but I, and everyone else, would be gone so who cares what I dream?
(literally, there would be no one left to care.)
 
From Asterisk Magazine, Issue 14, April 2026: 
 
How Long Until AI Doesn’t Need Humans?

Ajeya Cotra Timothy B. Lee

She thinks it’s nearly imminent. He doesn’t.

How long until AI systems can sustain their own existence — such that, if every human died, they could keep growing their own population? 

METR’s Ajeya Cotra and Understanding AI’s Timothy B. Lee discuss the path toward this “self-sufficient AI.” She thinks it’s nearly imminent; he believes it might never happen. The two talk through the skills and shortcomings of today’s humanoid robots, profit incentives, tacit knowledge and how these affect the timeline, non-robot paths to self-sufficiency, and the benchmarks to watch for in the next few years. 

This interview has been edited for length and clarity.

Clara Collier: This conversation is happening because you two got into a debate on Twitter about when you expect us to have fully autonomous AI systems. Ajeya, this is your concept. Do you want to talk about what you mean by that?

Ajeya Cotra: I wrote a blog post about self-sufficient AI, which is AI systems integrated with physical infrastructure — factories, mines, fabs, robots to operate all of those — such that they don’t need any cognitive or physical inputs from human labor to keep growing their own population. 

If all humans died of the plague one day, the AI systems would be able to maintain themselves, repair things that might be breaking down in their physical environment, and keep up the power plants that run them. They’d also have to expand themselves, which would require eventually consuming more physical resources — going out and mining the quartz and turning it into silicon sheets and then etching those into chips and so on.

This is an interesting forecasting point in my mind because, one, it’s relatively concrete and easy to imagine, and two, because a number of people are concerned about the possibility that AI systems might literally drive humanity extinct because they’re pursuing goals at odds with humanity’s goals. Self-sufficiency seems like a requirement for carrying out full extinction of humanity on the part of the AIs. 

I do want to flag that I think this would be  a pretty late milestone, and you could degrade this milestone in interesting ways and forecast weaker endpoints as well. For example, how many physical humans are needed to sustain a certain population of AIs? To what extent do they need to have specialized expertise versus “the AI can just direct them around because the AI has all the knowledge”? I ultimately think one or more of those weaker milestones will be more directly relevant for policymaking, but you can generate them starting from the concept of self-sufficient AI.

Clara: So when do you think we’re going to have this self-sufficient AI?

Ajeya: More likely than not within 10 years. And it very well could happen sooner.

Clara: Tim?

Timothy B. Lee: I think that timeline is pretty unlikely. Hard to put a number on it, but 20 years is the earliest it sounds plausible to me. I’d say less than 10% chance that it happens within 20 years. I’d say there’s a 10 or 20% chance it’s never, and my median would be 50 years. 

It’s hard to reason about what will happen in the future, but I have a strong intuition based on writing about robotics, particularly self-driving cars and sidewalk robots, that these things always take longer than you think they will. Practical barriers mean stuff in the physical world takes a lot longer than software stuff. It’s capital-intensive. There’s just a lot of stuff you have to do.

Let me give you a specific example. Six years ago, I went out to George Mason University and looked at Starship, which has these sidewalk delivery robots. The robot is simple — it’s a box on wheels, drives four miles an hour, and delivers lunch to people. I wrote an article saying it seems like we’re on the verge of these things being everywhere because they seem to work great and seem useful. Six years later, that company is far bigger than before, but they’re not everywhere

I couldn’t tell you exactly why they haven’t grown faster. I don’t think there were any major technological breakthroughs needed, at least on the hardware side. This was something that worked totally fine. I think it’s some combination of engineering work to make the robots more reliable and easy to repair and some amount of human labor needed to maintain them, and the margins aren’t that high, so it actually wasn’t that profitable a business.

And I think you could tell a similar story about self-driving cars, which is more of a software progress story. Waymo basically now has working self-driving technology, and it’s still going to take them years to just scale that up from the scale they’re at now to where most taxis are driverless. It takes time to build factories, it takes time to get regulatory approval, and so on....

....MUCH MORE