Sunday, May 10, 2026

Iran Detains Tanker Hauling Iranian Oil

From gCaptain, May 8:

Iran Detains ‘Ocean Koi’ Tanker Apparently Hauling Iranian Oil 

 Iran said it seized a tanker in the Gulf of Oman, which appeared to be a sanctioned vessel carrying the Islamic Republic’s own oil.

“During a special operation, naval commandos of the Islamic Republic of Iran’s Army detained the violating oil tanker Ocean Koi,” state television reported, saying the vessel was “attempting to disrupt oil exports and the interests of the Iranian nation.” The tanker appears to be managed by a Chinese company, according to a shipping database.  

The state-run Islamic Republic News Agency said that the tanker was carrying Iranian oil, but that it had sought to “exploit regional conditions,” without elaborating. 

Benchmark oil prices in London showed little reaction to the tanker seizure, trading little changed as of 1 p.m. in London....

....MUCH MORE

Also at gCaptain:

China Confirms Attack on Oil Tanker in Strait of Hormuz Earlier This Week 

AI: "DeepSeek to soon close first external fundraising in US$50b valuation: sources"

Talk about "Socialism with Chinese characteristics".  

From the South China Morning Post, May 8/9:

Backers include AI-focused affiliates under the third phase of the China Integrated Circuit Industry Investment Fund, sources say 

Chinese artificial intelligence high-flier DeepSeek is expected to close its first external financing round soon, boosting its valuation to up to US$50 billion, according to three people familiar with the matter, as the country’s marquee state-backed investment vehicle joins in bankrolling what is seen as a national technology champion.

The round was being backed by a group of state-linked investors, including AI-focused affiliates under the third phase of the China Integrated Circuit Industry Investment Fund, known as the “Big Fund III”, the people said, requesting anonymity because the information is private.

Global investment firm Hillhouse was also involved in the funding discussions, the people said. Shenzhen-based video gaming and social media giant Tencent Holdings took part in the round too, they added. The final valuation could still change as talks were ongoing, they said.

DeepSeek, the Big Fund III, and Tencent did not immediately respond to a request for comment. A Hillhouse spokesman said the firm was not making an investment in DeepSeek.

The latest valuation – five times the initial US$10 billion value local media outlets reported last month when the Hangzhou-based frontier AI lab started the funding round – reflects the interest of some of China’s largest state-backed investors and underscores the company’s growing importance in the intensifying race between the US and China for AI leadership.

Sources told the South China Morning Post earlier that DeepSeek was prioritising state-backed and industrial investors, including local government guidance funds and affiliated platforms, in its first financing round, favouring those that could provide strategic resources such as AI infrastructure over those that could only offer capital....

....MUCH MORE

Also at the SCMP: 

Chinese health authority says no need to worry about latest hantavirus outbreak 

Saturday, May 9, 2026

"AI in fraud detection and compliance"

False positives and other challenges plus a bonus look at the Caravaggio we saw in "Are Prediction Markets Good for Anything?". 

From Arpit Gupta's Arpitrage substack, Apr 05:

Finding Needles in Haystacks 

This is the fifth week of my course summaries from teaching AI in Finance at NYU Stern (see lecture slides here; and last week’s summary here). This week focuses on fraud detection and compliance, which are two critical growth areas for AI applications.

The Base Rate Problem

Caravaggio’s The Cardsharps

We start off this week with Caravaggio’s The Cardsharps, which features a young man being cheated at cards through an accomplice looking at the cards signaling to his partner who has a few cards tucked behind their belt. I like this painting because it features all the everlasting elements of fraud: asymmetric information, coordination among bad actors, and the innocent mark. Fraud and financial crimes have since drastically shifted through scale and ease of execution through technology. Consumers report $12.5 billion in fraud to the FTC; global reported payment card fraud is maybe $30 billion a year; and global compliance costs on financial crimes is about $60 billion a year.

The core technical problem in fraud detection is the base rate problem. Despite the absolute magnitude of fraud, it’s quite rare in any given transaction, say less than 0.1%.

This means that the most “accurate” fraud detection algorithm is always going to be the classifier which tags all transactions as legitimate. It’s going to be 99.9%+ accurate! But this would be a terrible algorithm to deploy because failing to tag anything as fraudulent will be an open invitation for more crimes.

This is the fundamental tradeoff at the heart of fraud detection. Tightening the rules to capture more fraud (lowering false negatives, Type II errors) inevitably means flagging more legitimate transactions as fraudulent (raising false positive, Type 1 errors). These errors have complicated costs which vary based on contexts. Customers really dislike false positives, so tagging more fraud may lead to more customer churn. But letting real fraud through can also lead to huge losses, regulatory penalties, and reputational costs.

Beneish and Vorst have a nice paper illustrating this tradeoff using a range of fraud prediction models. Even the best models they consider have false positive rates in excess of 100:1, meaning that they tag 100 legitimate transactions as fraudulent for every one true fraud they capture. These tradeoffs are so bad they estimate it’s generally not cost effective to even adopt the fraud detection models.

From Rules to Representation

The broader history of fraud detection is similar to other areas of AI deployment in finance, particularly risk management which we had discussed in week 3. Prior to the 1990s we typically had manual review, which was expensive and slow to scale. From the 1990s and 2000s we had rule-based systems which were more scalable, but rigid and easy to game. The 2010s brought supervised ML techniques, such as random forests, which brought in labeled data to let the model learn about fraud drivers in more adaptable ways.

The impact of AI here has been to move towards richer representations of transaction data in ways that allow for more sophisticated analysis of fraudulent patterns of behavior. Purda and Skillicorn for instance show how even simple bag of words applied to the management discussions of financial reports can distinguish fraudulent from truthful filings. This shows that deceptive language carries detectable statistical signatures in word patterns which can be carefully mined for detection....

....MUCH MORE 

Previously with Professor Gupta:

"The End of Market Intelligence and the Last Analyst"

And on Caravaggio, we've actually we've seen "The Cardsharps" a few times as well as other visits to the master:

October 2017 - Turns out there’s a bit of Caravaggio in artificial intelligence.

Which backlinks to some earlier posts:

"The Case of the Mafia and the Stolen Caravaggio
Finance and Art: "When the Caravaggio No One Thinks Is a Caravaggio Becomes the Basis of an Asset Swap"
Questions America Is Asking: "Is there a €120m Caravaggio in your roof?"
Art: "Caravaggio and the Experts: Science v. Connoisseurs"
Banking: Ducats for Caravaggio, The Genoa Connection and Medici Moolah
UPDATE: "Villa Aurora: Rome property fails to sell for €471m at auction"
Following up on December's "Attention Art Fans: Large Caravaggio For Sale, Asking $552 Million".

"AI Chipmaker Cerebras Is Said to Plan Raising IPO Price Range"

From Bloomberg, May 8:

Cerebras Systems Inc. is set to increase the price range of its initial public offering as soon as Monday, according to people familiar with the matter, as demand for the artificial intelligence chipmaker’s shares continues to build.

The company expects to raise the price range to $125 to $135 per share, the people said, asking not to be identified as the information isn’t public. The IPO has drawn orders for more than 20 times the number of shares available, the people said.

Cerebras is currently seeking to raise $3.5 billion and is marketing 28 million shares for $115 to $125 each, its filings with the US Securities and Exchange Commission show.

Deliberations are ongoing, details of the IPO could still change and the price range could increase further, the people said. A representative for Cerebras declined to comment.

The increase comes as Cerebras looks to manage the surging interest in its upcoming listing, which is set to price May 13. Cerebras is telling institutional investors placing IPO orders to specify the number of shares and the maximum price they’re willing to pay, in order to gauge the true level of demand, people familiar with the matter have said.

Read More: Cerebras Requires Limit Orders From IPO Buyers as Demand Grows

Cerebras’ listing would be this year’s biggest US IPO so far, according to data compiled by Bloomberg. The banks already received indications of interest from investors for more than $10 billion of shares before formal marketing began early Monday, Bloomberg News reported earlier....

....MORE 

And we'll be back with more on Cerebras on Monday. 

In the meantime, if interested see:

January 15 - Chips As Big As Your Head: Cerebras Does Deal With OpenAI For $10 Billion+ In Computing Power 
That's our usual description of Cerebras. Where Nvidia uses smaller chips with ultrafast connections, Cerebras users the whole silicon wafer and eliminates the need for many of the connections completely.

February 9 - Chips: "Cerebras Raises $1 Billion in Funding at $23 Billion Value"

April 20 -  Chips as Big as Your Head: "Breaking down AI chipmaker Cerebras’ S-1" 

"China Moves Beyond QR Codes to 'Face Economy' as Facial Recognition Expands into Healthcare, Transportation, and Agriculture"

From BigGo Finance, May 7:

China's digital economy is evolving from a QR code-based society into a "Face Economy." Facial recognition technology, capable of identifying one person among 1.4 billion in about three seconds, is spreading across sectors including healthcare, transportation, tourism, and agriculture. The National Healthcare Security Administration is promoting a facial-recognition-based medical insurance payment system. A smart elderly care center in Beijing uses facial recognition to measure health indicators and assist in early Alzheimer's diagnosis. Major train stations in Guangzhou and Wuhan have introduced facial recognition boarding systems, and the technology is also expanding into automotive and agricultural industries. However, concerns over biometric data leaks and excessive tracking of personal information have emerged. China's government last year issued the "Facial Recognition Technology Application Security Management Measures" to regulate the space. 

China's digital economy is rapidly evolving beyond the era of QR code payments into a "Face Economy." Facial recognition infrastructure, which allows individuals to verify their identity, make payments, enter buildings, and settle medical bills simply by looking at a camera without pulling out a smartphone, is spreading across healthcare, transportation, tourism, and agriculture.

According to industry sources on Thursday, facial recognition technology in China can identify a single person among the country's 1.4 billion population in about three seconds. The recognition accuracy exceeds 99%, reaching a level that can distinguish between twins. Deep learning algorithms can compensate in real-time for factors like masks, glasses, and even subtle changes from cosmetic surgery or aging.

The fastest-growing area is healthcare. Starting this year, China's National Healthcare Security Administration is promoting a medical insurance payment system that combines facial recognition, QR codes, mobile payments, and credit payments. The facial payment method allows users to authenticate themselves and settle medical expenses simultaneously simply by scanning their face at a terminal, eliminating the need for a physical medical insurance card or smartphone. The administration views this system as particularly useful for elderly people who are not familiar with smartphone operations.

A smart elderly care center in Beijing uses high-resolution cameras to identify seniors' faces. The system then detects subtle changes in blood flow on the facial surface to measure health indicators such as anemia risk, blood oxygen levels, and sleep quality. This system is used as a preliminary screening tool to identify early signs of Alzheimer's disease and to compare past and present health data.

Facial recognition has also become routine in transportation. Passengers pre-register with their real names and can pay their fares by scanning their faces at the ticket gates. The facial-recognition-based boarding system is spreading, particularly at major train stations in cities like Guangzhou and Wuhan....

....MUCH MORE 

"Chokepoints: How the Global Economy Became a Weapon of War"

From the London Review of Books, April 24:

In the 1990s,​ high-quality counterfeit $100 bills began to appear around the world. The United States Secret Service, the agency responsible for investigating fraudulent currency, claimed that these ‘supernotes’ were printed in North Korea, though it wasn’t clear how the intaglio printer, cotton-linen paper and colour-shifting ink had ended up there. Even so, numerous clues pointed in that direction. In 1996, Yoshimi Tanaka, a former member of the Japanese Red Army Faction, was arrested in Cambodia for distributing supernotes in Thailand. Twenty-six years earlier, he had helped hijack Japan Airlines Flight 351, diverting it to North Korea, where he and his co-conspirators – including Moriaki Wakabayashi, bassist with the cult psychedelic rock band Les Rallizes Dénudés – defected; several of them lived for decades in a compound outside Pyongyang. In 2005, the leader of the Irish Workers’ Party, Seán Garland, who had long cultivated ties to the Korean Workers’ Party, was arrested for allegedly purchasing supernotes from North Korean nationals (he was never extradited and so never stood trial). Around the same time, smugglers in California were indicted on charges of importing millions of dollars’ worth of these notes, as well as more than a billion counterfeit Marlboro and Newport cigarettes and quantities of phony Viagra. The fake dollars had apparently been purchased from North Korean officials by a Macanese judoka called Jimmy Horng and a Taiwanese national called Wilson Liu, who laundered them in slot machines at Caesars Palace casino in Las Vegas.

Weeks after one of the smuggling rings was broken up – its leaders were lured by undercover FBI agents to a fake mafia wedding in New Jersey – the US Treasury tried out a new type of economic warfare against North Korea. It targeted Banco Delta Ásia, a relatively small bank in Macau that was accused of facilitating North Korea’s trade in counterfeit money, cigarettes and narcotics, which the regime was thought to rely on to pay for its ballistic missile and nuclear programmes. By labelling Banco Delta Ásia a money launderer, the US Treasury could prevent American banks from dealing with it. Also, any foreign bank that transacted with it would be cut off from the US financial system, blocking easy access to the US dollar and making it difficult to execute payments across national borders. Most banks in Asia ditched Banco Delta Ásia and the Macau government froze $25 million of North Korean holdings. Kim Jong-Il’s regime duly withdrew from nuclear talks and the following year North Korea tested its first nuclear device. Sanctions did little to prevent this; they may have had the opposite effect. But by exploiting foreign dependence on the dollar, the US government had shown that it too had a powerful new weapon.

[Climateer here: that's a rather robust pair of opening paragraphs]

Economic blockades are not new. The Peloponnesian War was triggered by one in the fifth century BCE; the Ottomans took Constantinople in 1453 after closing the Bosphorus. But targeted sanctions as a tool of peacetime foreign policy are a more recent innovation. In the aftermath of the First World War, liberal internationalists such as President Woodrow Wilson promoted them as a ‘peaceful, silent, deadly’ means of bending a rival’s will. Their first major test came with Italy’s invasion of Ethiopia in 1935. The failure of the League of Nations’ sanctions to prevent Mussolini’s occupation of Addis Ababa ruined the League’s reputation as an instrument of collective security. In 1941, Japan attempted to break free of a tightening US embargo by attacking Pearl Harbor. During the Cold War, embargoes became Washington’s favoured method of confronting communist countries while avoiding nuclear war; the embargoes implemented against North Korea in 1950 and Cuba in 1960 are still in force. From the 1970s, sanctions were used, frequently with the authorisation of the United Nations, to punish human rights violators and arms traffickers, to compel democratisation and to end apartheid in South Africa. They were generally more successful at impoverishing and weakening their targets than in forcing major changes to their behaviour or bringing about regime change. This was certainly true of the sanctions imposed on Iraq after the Gulf War of 1990-91, which did little to dislodge Saddam Hussein but caused a humanitarian crisis that sparked a global backlash (the first protests I joined were roadside anti-sanctions rallies in a New England town in the late 1990s). There was a growing sense in Washington that the success rate of sanctions did not justify their cost. In the case of Iraq, as it turned out, Plan B was invasion.

The disastrous wars in Iraq and Afghanistan made sanctions again seem a better alternative and their use rose dramatically. They have also grown more powerful, focusing on what Edward Fishman in his new study describes as one of the key ‘chokepoints’ in the world economy: control of the US dollar. Maritime trade has always had to negotiate geographic bottlenecks: the Suez Canal, for example, or the Malacca Strait or the Strait of Hormuz. Controlling these narrow passages, through which large volumes of trade pass, confers significant strategic advantages. Yet by the early 2000s, access to the dollar – used in around 90 per cent of foreign exchange transactions and accounting for roughly 70 per cent of foreign exchange reserves worldwide – seemed to offer even greater leverage.

As Fishman explains, US officials came to this view after 11 September 2001. The US Treasury lost most of its national security functions to the Department of Homeland Security, established late in 2002, but it had unexpectedly been given new powers by the Patriot Act, a law rushed through Congress weeks after 9/11 which dramatically increased the state’s capacities to carry out surveillance and policing, as well as expanding the definition of terrorism. The Act’s anti-laundering measures, originally aimed at terrorists’ bank accounts, were soon applied to unfriendly states as well.

After North Korea, the US’s next target was Iran, which had been under sanctions since the 1979 hostage crisis, though they had done little to curb the growth of the country’s oil industry or its regional ambitions. In 1996, near the end of Bill Clinton’s first term, Congress passed a law threatening the imposition of heavy penalties on foreign companies that did business in Iran, such as European oil producers like France’s Total, soon to be a major investor in the development of the South Pars gas field in the Persian Gulf. These ‘secondary sanctions’ meant that third parties transacting legally with Iranian entities now faced being penalised by the US. The sanctions extended the reach of the US state far beyond its legal jurisdiction, and sparked a huge backlash in Europe; the EU prohibited European firms from complying with them. Clinton backed down.

In 2005, under George W. Bush, US efforts to isolate Iran from the world economy were renewed after the election of Mahmoud Ahmadinejad, the conservative former mayor of Tehran, who alarmed Western observers with his messianic speeches and efforts to accelerate Iranian nuclear enrichment. In 2006, a Treasury lawyer called Stuart Levey, drawing on the personal connections of his boss, Henry Paulson (the former CEO of Goldman Sachs), met with the heads of the world’s largest banks to warn them to cut ties with Iran. This again proved very unpopular: ‘You fucking Americans,’ one senior executive at the British bank Standard Chartered apparently responded. ‘Who are you to tell us, the rest of the world, that we’re not going to deal with Iranians?’ But ultimately what mattered was the bottom line: for almost everyone, the risk of huge fines or of losing access to US banking services outweighed the benefits of trading with Iran. Nearly every major bank complied.

Despite all this, Iran continued to make huge profits on energy exports. After Barack Obama came to office in 2009, Congress agreed, in a rare bipartisan moment, that the US should enforce secondary sanctions. The mere threat led European companies such as Eni, Shell, Statoil and Total to quit Iran, ceding ground to Chinese rivals which ensured that the oil kept flowing. The fact that the global oil trade has long been invoiced almost exclusively in US dollars meant that no European companies were willing to risk being cut off from the US correspondent banking system, a crucial intermediary in facilitating international dollar transactions. But blocking Iranian oil exports was politically fraught. One likely consequence was soaring oil prices – some predicted they could rise to more than $200 a barrel. And prices were already high: after bottoming out in the wake of the financial crisis, they had been driven up by demand from China and other emerging market economies, and accelerated by the Libyan uprising and civil war early in 2011. Facing a re-election campaign in 2012, Obama opposed any further disruption to global oil supplies, even as members of the Treasury plotted how to blacklist the last Iranian financial institution with access to the US dollar: the central bank. Doing this would make it very difficult for Iranian exporters to be paid, but it also risked pushing energy prices so high that they would spark what one Treasury official called a ‘nuclear winter recession’. Despite opposition from the White House, two senators – Mark Kirk, a Republican, and Robert Menendez, a Democrat (currently serving a federal prison sentence on corruption charges) – demanded sanctions on Iran’s central bank, winning unanimous Senate approval. A few months later, Congress also authorised sanctioning Swift, the Brussels-based financial messaging platform used by nearly every bank in the world to communicate international money transfers, if it didn’t stop all business with Iranian entities. It did so, further imperilling the ability of Iranian banks to make international transactions. By early 2012, Iran had been all but cut off from the dollar.

The effects were immediate. During 2012, the Iranian rial collapsed as oil revenues plummeted by nearly 30 per cent. The prices of staple foodstuffs soared, in some cases doubling in one year. This economic crisis developed just before the presidential elections of June 2013, when Hassan Rouhani, running for the technocratic Moderation and Development Party, was elected on a promise to bargain Iran’s nuclear programme for sanctions relief. Iran’s presidents are not mere figureheads, though their freedom of action is constrained by the supreme leader, and only a limited number of candidates, approved by the Guardian Council, are allowed on the ballot. Even so, the choice of Rouhani was a departure. One of his first acts in office was to tap the well-connected diplomat Mohammad Javad Zarif – who studied for a PhD in international law and policy in the US – to lead talks on sanctions relief....

....MUCH MORE 

From the Author's LRB mini-bio:

Jamie Martin


Jamie Martin teaches history at Harvard and is the author of The Meddlers: Sovereignty, Empire and the Birth of Global Economic Governance. He is writing a book about the economic consequences of the First World War. 

More by this contributor

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16 November 2023

A Company of Merchants: The Bank of England 
24 January 2019

Nudged: Nudge Theory 
27 July 2017 

AI Use Case: "Meet Rachel: the AI agent that phoned 3,000 pubs to price a pint"

From Tech,eu, March 20:

After Ireland stopped tracking pint prices 14 years ago, one AI engineer built a voice agent to call thousands of pubs—creating a live dataset of Guinness prices across the country. 

Over Paddy's weekend 2026, a friendly Northern Irish "woman" called Rachel rang more than 3,000 pubs across all 32 counties to find out the price of a pint of Guinness. Over 1,000 gave a price.

 Only a handful seemed to realise Rachel was an AI voice agent. 

A data gap 14 years in the making 
Ireland’s Central Statistics Office stopped tracking pint prices 14 years ago, leaving no comprehensive dataset since.

In response, Matt Cortland created the “Guinndex,” using AI to rapidly collect and analyse pint prices across Ireland, where costs have become increasingly inconsistent.

The result is what he claims is the most complete index of pint prices to date—an effort to bring transparency and potentially help normalise the price of a Guinness.

From pub owner to AI engineer 
Matt Cortland is an American AI engineer based in London who previously lived in Ireland for several years. A former US-Ireland Alliance Scholar (George Mitchell Scholarship), he holds a Master’s degree in Creative Digital Media from TU Dublin (formerly DIT). Earlier in his career, he founded and operated a global pub and entertainment company spanning Ireland, the UK, and the US, including a chain of IoT-enabled “wizard bars” where he created working magic wands. He has since transitioned into AI engineering and private consulting, developing his own AI projects while building AI products and tooling for companies, several of which are based in Dublin.

"I'm a former pub and bar owner, so I know what it's like to be on the other end of customer pricing calls," said Cortland.

"But I also know what it's like to be on the consumer end and paying a kidney for a pint. I apologise to everyone I tortured over Paddy's weekend. Rachel just wanted a wee drink."

Designing a believable pub caller 
Cortland named the AI agent “Rachel” and trained her to be friendly, direct, and—if questioned—transparent. She explains she’s “putting together a wee price comparison list” and confirms she is an AI if asked....

....MUCH MORE 

Friday, May 8, 2026

AI: "Are we just 18 months away from everything changing?"

The teaser snippet from  James Pethokoukis' Faster Please substack, May 7:

The evidence for recursive AI self-improvement is real. So are the bottlenecks 

My fellow pro-growth/progress/abundance Up Wingers in America and around the world:

The road to the Singularity is paved with evermore capable code. (Here, I define the Singularity as a period of utterly transformative economic growth so rapid that the intuitions of standard economics begin to crumble.) Artificial intelligence systems are already highly capable coding assistants. Autonomous engineering agents capable of running experiments, debugging models, and optimizing chips—with limited human supervision—are now emerging and delivering real-world results for at least some business.

Next steps: These systems increasingly turn their attention to AI research itself, each generation helping build the next more quickly than the last. The feedback loop of “recursive self improvement” continues: Better AI begets better AI. No single “Eureka!” breakthrough is required—just compounding acceleration until the tempo of progress becomes difficult to calculate or even comprehend for us carbon-based units.

So where are we on this road, exactly? Is the Singularity still science fiction, or something serious people, such as Washington policymakers, now have to reckon with?

April 26 - U.S. Treasury Secretary Bessent On A.I.: "'a year, maybe 18 months,' before the new technology defines our lives across the board."

"Are Prediction Markets Good for Anything?"

From Asterisk Magazine, Issue 14:

We all know they’re casinos. It’s time to look at the data behind the froth.

In 2007, Nobel laureates Kenneth Arrow, Daniel Kahneman, and other notable scholars published a statement arguing that prediction markets could “substantially improve public and private decision-making.” The theoretical foundations were deep. 

Friedrich Hayek had argued in 1945 that markets aggregate dispersed, local, and tacit knowledge through the price system better than any central planner. In 2000, George Mason University economist Robin Hanson proposed a system he called futarchy, in which markets would be used to evaluate whether policies deliver on promises. Seventeen years later, Philip Tetlock, Barbara Mellers, and Peter Scoblic were championing forecasting tournaments as a way to generate useful policy knowledge for the intelligence community and to depolarize political debates. 

Institutions including Google, Microsoft, the CIA, the wider U.S. intelligence community, and British government intelligence analysts have all experimented with internal prediction markets. Some of these trials were more successful than others, but all were small. And we know, from both theory and practice, that more bettors make markets more accurate. Hal Varian, Google’s chief economist, likes to call prediction markets “information markets,” and the bettors the “suppliers” of the information. 

For decades, prediction market optimists — and I count myself among them — have argued that once we build better markets and increase the supply of bettors, accuracy will improve, and we’ll all be able to benefit from a new level of societal foresight.

Now, in 2026, public prediction markets like Polymarket and Kalshi transact billions of dollars in volume each month. The vast majority of these bets are not on questions that might produce useful information. Roughly 90% of Kalshi’s trading volume (dollars exchanging hands between bettors) is from sports betting, making Kalshi effectively a sports gambling website with a small prediction market attached. I find that over 80% of the trading volume on Polymarket is concentrated on sports, cryptocurrency prices, or election betting.1

Much ink has been spilled on the negatives — such as gambling addiction and insider trading — of the growing popularity of these markets. But what of their promise? Are they producing valuable information and making humanity wiser?

Caravaggio Cardsharps
Caravaggio, The Cardsharps, 1594.


Demand, demand, demand 
To understand how useful this supply of forecasts is, and whether the forecasts really are delivering on the vision of the progenitors of prediction markets, we need to think about another factor: demand. 

It is entirely conceivable that prediction markets are only being used by bettors themselves. But if individuals, firms, media, and policymakers want (or need) the predictions we see on these markets, this evidence of demand can be used as a proxy for their usefulness. Vitalik Buterin, creator of the cryptocurrency Ethereum, summarized in Info Finance this dual nature of prediction markets: “If you are a bettor, then you can deposit to Polymarket, and for you it's a betting site. If you are not a bettor, then you can read the charts, and for you it's a news site.” 

I’ve thought hard about how to sell prediction markets to consumers. In 2020, I created Google’s current internal prediction market. Since then, I’ve served as the CTO of Metaculus, a non-market-based crowd-forecasting website, and now run FutureSearch, a startup that provides AI forecasters and researchers. In my work, I’ve found that the benefits of prediction markets fall into five different categories. 

First, markets can provide risk monitoring. I learned about COVID-19 in February 2020 from Metaculus, causing me to cancel a planned trip that would have left me stranded. 

Second, they can help with interpreting news, showing whether, and how much, a current event might affect larger outcomes. For example, the closure of the Strait of Hormuz during the 2026 Iran war led to an increase (from ~25% to ~35%) in the forecasted chance of a 2026 US recession due to the spike in oil prices.

Third, they can inform planning around policy outcomes, such as whether TikTok will be banned in the US.2

Fourth, they could create accountability for claims made by political or business leaders. For example, in June 2025, when President Trump said he was contemplating a strike on Iran’s nuclear program, many Middle East experts dismissed the prospect, according to an article from the Council on Foreign Relations. Yet, per CFR, prediction markets gave a 58% chance of strikes that week, and we later learned that seven B-2 stealth bombers were then on-route.

Fifth, they could produce novel information, allowing traders to discover or track things others don’t, such as when major AI milestones will be reached.3

Now let’s see whether the billions wagered on markets each month are supplying these five forms of useful information....

....MUCH MORE 

Down On The Farm: "Retail Fertilizer Trends"

From DTN Progressive Farmer, May 6:

UAN, Anhydrous Lead Fertilizer Prices Higher in Last Week of April

OMAHA (DTN) -- Average retail fertilizer prices continued to climb during the fourth full week of April 2026, but the increases weren't as steep as they have been in previous weeks, according to sellers surveyed by DTN.

All eight major fertilizers were more expensive compared to a month earlier. Prices for three of the eight major fertilizers were up significantly, which DTN designates as anything 5% or more....

https://www.dtnpf.com/mydtn-public-core-portlet/servlet/GetStoredImage?symbolicName=2026k06-uan28-fertilizer-price-chart.png&category=CMS 

....MUCH MORE 

"Wall Street giant Apollo aims to open ‘second headquarters’ outside NYC — in latest fallout from Mamdani’s war on the wealthy"

From the New York Post (with a bit of editorializing in the headline) May 6:

Yet another major Wall Street firm is poised to expand outside New York City – the latest blow to the Big Apple’s tax coffers thanks to Mayor Zohran Mandani’s war on wealthy residents and businesses, The Post has learned.

Private equity giant Apollo Global Management, headquartered in Manhattan, has decided to open a new business hub — internally dubbed its “second headquarters” — in either Florida or Texas with an official decision likely to be made public in the coming weeks, people close to the matter say.

The new outpost could eventually become home to as many as 1,000 employees over time – in line with Apollo’s current headcount in New York, the sources said. The buyout firm currently employs more than 6,000 worldwide....

....MUCH MORE 

"Pope Leo called his bank to change his address and phone number; they hung up on him"

From the Chicago Sun-Times, May 6:

“‘Would it matter to you if I told you I’m Pope Leo?’” the pope asked his bank, according to the Rev. Tom McCarthy, a longtime friend of the Chicago-born pontiff. 

Two months into his pontificate, Pope Leo XIV called his bank in South Chicago to change his phone number and address.

The former Robert Prevost answered all his security questions posed by the teller, but there was still a problem.

To change his phone number and address, he was told he’d have to show up in person.

“‘Well, I’m not going to be able to do that,’” said Pope Leo, according to his longtime friend, the Rev. Tom McCarthy, who told the story April 29 to the Fishers of Men at Saints Peter and Paul in Naperville.

“‘We can’t do it over the phone?’” the pope asked, according to McCarthy. “‘I already gave you all the security questions.’”

After that, he tried pulling rank.

“Would it matter to you if I told you I’m Pope Leo?” the pope apparently asked.

Click.

“She hung up on him,” McCarthy said. “Could you imagine being known as the woman who hung up on the pope?”....

....MUCH MORE 

Without Abundant Energy, Our Lives Would Be Nasty, British, and Short

From actual production to the sovereign wealth fund, comparing the Norwegian approach to developing the hydrocarbon resource to the British is enough to make you cry.

Plus I get to mess around with Thomas Hobbes.*

From The Telegraph, May 6:

Norway reopens North Sea gas fields to power millions of homes
Reactivation project will increase exports to the UK as Ed Miliband refuses to permit new drilling  

Norway has confirmed plans to revive three gas fields containing enough supplies to heat millions of homes.

The reactivation project will lead to mothballed North Sea fields being reopened for the first time in three decades, as Norway races to meet growing demand from Germany and the UK.

The new supplies will increase exports to the UK at a time when its own oil and gas output is plummeting by about 15pc a year.

Steinar Våge, the European president of ConocoPhillips, the hydrocarbon company behind the reactivation, said the three fields would produce about 19 billion cubic metres of gas. That is equivalent to powering up to three million homes in the UK.

“By utilising existing infrastructure, we can produce substantial resources at low cost, and strengthen gas exports to Europe,” he said.

Norway’s push to ramp up oil and gas exploration represents a marked difference to what is happening in the UK, where about 180 of its 280 fields are set to close by 2030.

In the last 12 months, Britain spent £20bn buying oil and gas from Norway and that reliance is only set to grow further.

Government modelling shows the UK will need 40 billion cubic metres of gas a year in 2035, plus 40 million tonnes of oil products.

However, on current trends the UK’s own gas production will be down from 30 billion to seven billion cubic metres while oil is set to fall from 35 million tonnes to just 13 million.

It means the UK will be 80pc dependent on imports – mainly from Norway and the US.

The three gasfields to be reactivated – Albuskjell, Vest Ekofisk and Tommeliten Gamma – lie off southern Norway, near the giant Ekofisk reserve.

They were shut down in 1998, but new technology means the estimated 19 billion cubic metres of gas they are thought to hold has now become accessible. They are scheduled to reopen in 2028 and operate for up to 20 years.

A Norwegian government spokesman said the country also wanted to unlock 70 “blocks” of seabed in the North Sea, Norwegian Sea and Barents Sea for oil and gas exploration.

Jonas Gahr Støre, the prime minister, said: “Norway’s oil and gas industry is vital to Norway and to Europe.”

Offshore Energies UK (OEUK), the industry trade body, said the UK’s growing reliance on Norway was caused by political failures by successive governments, but could still be reversed.

A spokesman for OEUK said: “The discrepancy in success in the two different regions of the North Sea (British and Norwegian) is not dictated by geology.

“It is entirely determined by how respective governments treat oil and gas resources through policy, regulation and taxation.”

It comes as Ed Miliband still refuses to allow new drilling in the North Sea, despite the Iran war strangling global oil and gas supplies.

The Energy Secretary has argued that new oil and gas “would not take a penny off bills, cannot make us energy secure and will only accelerate the worsening climate crisis”.

Claire Coutinho, the Conservative shadow energy secretary, said the UK approach was “madness”.

“Norway just announced 70 new blocks of oil and gas exploration, including in the North Sea,” Ms Coutinho said....

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*Out of Civil States, there is alwayes Warre of every one against every one. 
Hereby it is manifest, that during the time men live without a common Power to keep them all in awe, they are in that condition which is called Warre; and such a warre, as is of every man, against every man. For Warre, consisteth not in Battell onely, or the act of fighting; but in a tract of time, wherein the Will to contend by Battell is sufficiently known: and therefore the notion of Time, is to be considered in the nature of Warre; as it is in the nature of Weather. For as the nature of Foule weather, lyeth not in a showre or two of rain; but in an inclination thereto of many dayes together: So the nature of War, consisteth not in actuall fighting; but in the known disposition thereto, during all the time there is no assurance to the contrary. All other time is Peace.

The Incommodities of such a War. 

Whatsoever therefore is consequent to a time of Warre, whereevery man is Enemy to every man; the same is consequent to the time, wherein men live without other security, than what their own strength, and their own invention shall furnish them withall. In such condition, there is no place for Industry; because the fruit thereof is uncertain: and consequently no Culture of the Earth; no Navigation, nor use of the commodities that may be imported by Sea; no commodious Building; no Instruments of moving, and removing such things as require much force; no Knowledge of the face of the Earth; no account of Time; no Arts; no Letters; no Society; and which is worst of all, continuall feare, and danger of violent death; And the life of man, solitary, poore, nasty, brutish, and short.

—Thomas Hobbes, Leviathan, Ch XIII, page 62 (1651)

Capital Markets: "US Jobs on Tap after Court Ruled Against Section 122 Tariffs and Conflict in the Middle East"

From Marc Chandler at Bannockburn Global Forex:

After recovering in the North American afternoon for the second consecutive session yesterday, the dollar has been sold again in Asia and Europe today. The market has mostly shrugged off news of new hostilities in the Middle East. As is often the case, the ceasefire has been frayed but appears to remain intact. Ostensibly, it runs until May 17. Late yesterday, a federal trade court issued a narrow ruling on 2-1 vote to grant a request by a group of small businesses and Washington state to stop the US from collecting the Section 122 tariffs. 

The focus shifts to the US jobs report.
Ahead of the report, the Fed funds futures have about two basis points of tightening discounted for this year, down from nearly eight at the beginning of the week. Given the uncertainties surrounding the Middle East, the market may pare risk exposure before the weekend. The dollar is mostly softer and the drubbing of the UK’s Labour Party and the surprising drop in in German industrial output failed to have much market impact....

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U.N. FAO Food Price Index "extends upward trend amid higher vegetable oil, meat and cereal prices"

From the Food and Agriculture Organization of the United Nations, May 8:

» The FAO Food Price Index* (FFPI) averaged 130.7 points in April 2026, up 2.1 points (1.6 percent) from its revised March level, marking a third consecutive monthly increase, albeit at a lower rate than in the previous month. Price indices for vegetable oils, meat and cereals rose to varying degrees, offset by declines in sugar and dairy products. Compared to historical levels, the FFPI in April stood 2.5 points (2.0 percent) higher than a year ago but remained as much as 29.6 points (18.4 percent) below its peak in March 2022.

» The FAO Cereal Price Index averaged 111.3 points in April, up 0.9 points (0.8 percent) from March and 0.4 points (0.4 percent) from its level a year earlier. The monthly increase reflected higher prices across major cereals, except sorghum and barley. World wheat prices increased by 0.8 percent, reflecting upward pressure from drought in parts of the United States of America and a higher likelihood of below-average rainfall in Australia. The price increase was further supported by expectations of reduced wheat plantings in 2026, as farmers shift to less fertilizer‑intensive crops amid high fertilizer prices, driven by elevated energy costs and disruptions linked to the effective closure of the Strait of Hormuz. International maize prices increased by 0.7 percent, underpinned by seasonally tighter supplies and weather-related concerns in Brazil, as well as dry conditions affecting sowing in parts of the United States of America. Additional support came from firm ethanol demand amid elevated crude oil prices and ongoing concerns about fertilizer affordability. The FAO All Rice Price Index increased by 1.9 percent in April, driven by higher Indica and fragrant rice prices, reflecting higher production and marketing costs in most rice-exporting countries following the surge in the prices of crude oil and its derivatives. In contrast, world sorghum prices dropped by 4.0 percent, mostly due to weaker import demand, especially from China, and improved supply prospects in key producing and exporting countries.

» The FAO Vegetable Oil Price Index averaged 193.9 points in April, up 10.9 points (5.9 percent) from March and reaching its highest level since July 2022. The continued increase was driven by higher prices of palm, soy, sunflower and rapeseed oils. International palm oil prices rose for the fifth consecutive month in April, largely underpinned by prospective higher demand from the biofuel sector, supported by policy incentives in several producing countries and higher crude oil prices. Additional upward pressure stemmed from concerns over lower production in Southeast Asia in the coming months. Similarly, global quotations for soy and rapeseed oils increased, reflecting, respectively, firm demand for biofuel production in the United States of America and the European Union. Sunflower oil prices were supported by persistent supply tightness in the Black Sea region, whereas quotations in Argentina softened somewhat, as seasonally rising crushing activity boosted exportable supplies.

» The FAO Meat Price Index averaged 129.4 points in April, up 1.6 points (1.2 percent) from March and 7.8 points (6.4 percent) above its level a year earlier, reaching a new record high. The increase reflected higher prices across all meat categories, except ovine meat quotations, which remained broadly stable. Bovine meat prices rose to a new peak, underpinned by higher export quotations in Brazil amid limited supplies of slaughter-ready cattle, reflecting ongoing herd rebuilding. Additional support was provided by strong international demand, particularly from China, where import quotas under a new three-year safeguard framework are being rapidly filled. Pig meat prices also rose, driven by firmer quotations in the European Union amid rising seasonal demand, though partly offset by lower prices in Brazil due to ample supplies. Poultry meat prices increased, supported by higher quotations in Brazil, as strong buying interest from several African markets more than offset softer sales to the Near East, where logistical and transport constraints required shipments to be rerouted through the Red Sea. Ovine meat prices remained broadly unchanged, as higher quotations in Australia, reflecting tight exportable supplies, were offset by declines in New Zealand due to weaker demand from China, its main export destination.

» The FAO Dairy Price Index averaged 119.6 points in April, down 1.3 points (1.1 percent) from March, while remaining 32.1 points (21.2 percent) below its level a year earlier. The decline was mainly driven by lower international quotations for butter and cheese, which more than offset continued increases in the prices of skim milk powder (SMP), while whole milk powder (WMP) prices remained broadly stable. Butter prices declined after two consecutive monthly increases, while cheese prices continued their downward trend, mainly reflecting abundant milk supplies in the European Union amid peak seasonal production and stronger-than-expected late-season output in Oceania. These conditions boosted cream availability and supported higher cheese output. Continued competitive pressure in international markets also weighed on quotations, particularly for cheese. By contrast, SMP prices extended their upward trend, reaching their highest level since October 2022, supported by strong import demand from North Africa, the Near East and Southeast Asia. Meanwhile, WMP prices remained broadly unchanged, as declines in Oceania—linked to ample export availability and subdued demand from key markets, including China—were offset by firmer quotations in the European Union....

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Fun Fact: "50% of Nvidia Employees Are Now Worth Over $25 Million: How Nvidia Created Thousands of Millionaires"

From 24/7 Wall Street, May 4:

A recent episode of Motley Fool Money titled “Nvidia’s Next Big Market” highlighted a statistic that reframes how investors think about employee equity. At NVIDIA (NASDAQ:NVDA | NVDA Price Prediction), roughly 50% of employees now have a net worth exceeding $25 million, based on a workforce of about 30,000 to 40,000 people. At the top end, management has reached centimillionaire and even billionaire status. 

The 2008 Inflection Point 

The wealth creation traces back to a single decision. After Nvidia’s stock fell roughly 80% in 2008, CEO Jensen Huang introduced an Employee Stock Ownership Plan that allowed employees to buy shares at a discount to the lowest price over the prior two years. As the stock recovered and then surged, that two-year lookback became increasingly valuable. Employees consistently maxed out their ESOP contributions, turning the structure into a powerful compounding engine across the workforce.

The scale of that recovery is visible in the stock’s long-term performance. Over the past decade, NVDA shares returned 22,687.47%, rising from $0.87 on a split-adjusted basis to $198.45 as of May 1, 2026. The five-year return alone stands at 1,225.47%.

The Founder’s Stake Framing 
The host anchored the discussion in a separate but related observation: “If you have a founder’s stake in the most valuable company in history, then by definition, that is the single best investment you could ever make in human history.” Tench Cox, an early-1993 investor and board member, confirmed that Nvidia was his best investment ever.

NVIDIA is now carries a market cap of roughly $4.82 trillion and continues to grow off an already massive base. Fiscal 2026 revenue reached $215.94 billion, up 65.47% year over year, with Q4 Data Center revenue of $62.31 billion, growing 75%. The full Q4 FY2026 results are filed with the SEC here....

....MUCH MORE 

Thursday, May 7, 2026

How a Shortage of Electricians Could Derail the AI Boom (PWR; MWH; AGX; LGN)

From Barron's, May 4/5:

The artificial-intelligence boom was just getting past its last bottleneck. Now, another one is popping up—electricians.

A year ago, a shortage of natural gas turbines was the biggest limiting factor behind the AI boom, because data centers couldn’t build enough power plants to get electricity to those data centers. But turbine-makers have been ramping up production.

Today, a shortage of contractors with electrical expertise is the most pressing problem.

Rob Gaudette, CEO of power producer, laments the shortage of “qualified construction crews. Because if you have a turbine and no humans, you just have a turbine.”

GE Vernova, the global leader in turbines said last month that turbines “are really not the gating item” slowing down data centers, pointing instead to other factors like a lack of EPCs, or engineering, procurement, and construction firms. EPCs can mobilize hundreds of workers to build major infrastructure projects.

It is not a problem that can be solved instantly. The speed of the AI buildout is straining America’s skilled electricity workforce. Over the next decade, America is expected to need an additional 81,000 electricians a year, the Bureau of Labor Statistics says, among the fastest growth rates of any profession.

By 2034, America is on track to have less than two electrical engineers for every megawatt of power capacity the country needs to add, down from seven in 2024, according to Ben Lowe, an energy expert at consultancy Roland Berger. “The fact of the matter is we just don’t have enough people to do the work,” he said.

The shortage has tech companies worried. Big tech players have no time to waste when it comes to the AI buildout. They’re spending $700 billion this year alone to build out data centers and other major capital projects. Some of the tech giants are getting directly involved in training the next generation of electricians. Last year, Google said it would support a plan to train 100,000 new electricians and 30,000 apprentices, because of the shortage.

Having a good contractor on call is now a must-have for companies building power plants, and they are willing to pay up for them. NRG locked in a multi-project deal with Kiewit, a Nebraska-based EPC, to install GE Vernova turbines. “It’s a three-party agreement,” Gaudette said in an interview with Barron’s.

Kiewit is privately held, but EPCs that are publicly traded have seen big benefits....

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"DOJ, CTFC Investigating $2.6 Billion In Suspicious Iran War Oil Trades"

From ZeroHedge, May 7:

U.S. authorities are investigating more than $2.6 billion in oil futures shorts that landed within minutes of major announcements tied to the 2026 U.S.-Iran conflict. The Department of Justice (DOJ) has joined the Commodity Futures Trading Commission (CFTC) in a widening inquiry into potential misuse of material non-public information in one of the most liquid and geopolitically sensitive commodity markets on earth, ABC News reports. 

The trades in question involved bets that oil prices would fall shortly before major U.S. or Iranian announcements tied to the Iran war. .

The Trades

Data sourced from the London Stock Exchange Group (LSEG) - which captures exchange-traded futures flow but strips identities - reveals four distinct clusters of aggressive shorting in WTI and Brent crude futures:

  • March 23: >$500 million in shorts executed in a one-minute burst roughly 15 minutes before President Trump announced a five-day delay on planned strikes against Iran's energy infrastructure. Oil prices subsequently plunged ~15%.
  • April 7: ~$960 million short position placed hours before the temporary ceasefire announcement (oil dropped sharply on the news).
  • April 17: $760 million short bet executed ~20 minutes before Iranian Foreign Minister Abbas Araghchi declared the Strait of Hormuz open to commercial traffic.
  • April 21: $430 million additional short layer placed 15 minutes before Trump extended the ceasefire.

Total exposure: >$2.65 billion in directional bets that oil's geopolitical risk premium was about to collapse. These were institutional-sized clips that moved the tape.

The CTFC began investigating suspicious oil trades last month, which has now expanded under DOJ scrutiny....

....MUCH MORE 

FrenchTech: France's Schneider Electric In The News

Three stories that dropped out of the feedreaders over the last month or so. 

From Energy Digital, April 12:

Microsoft and Schneider: Is Energy's Future Fully Automated? 

Microsoft and Schneider Electric are working to make automated operations a concrete reality for energy producers, distributors and manufacturers

Schneider Electric and Microsoft, two of the most technologically-innovative companies of the modern era, have struck up a partnership that looks set to make waves in the energy sector.

Together, the firms hope to build the foundations of the next generation of energy systems using the twin powers of AI and automation.

Specifically, Schneider and Microsoft are aiming to cut the cost of hydrogen production, while also optimising energy use and creating a scalable path to digital efficiency.

Across much of the industry, power producers and manufacturing plants still rely on hardware-locked systems that can limit their ability to upgrade or incorporate industrial AI. The two companies hope their collaborative efforts can usher in a newer, simpler, more streamlined era....

....MUCH MORE

From Reuters, April 29:

Schneider Electric tops revenue forecast as it rides AI data centre wave 

Schneider Electric narrowly beat first-quarter revenue expectations on Thursday, once again ​boosted by the global artificial intelligence data centre buildout reinforcing ‌the French group's role as one of the most sought-after suppliers.

Revenue in the three months through March grew 11.2% organically to 9.77 billion euros ($11.39 billion). That was a ​notch above the average consensus estimate of 9.76 billion euros, with ​10.1% organic growth expected by analysts polled by the company. 
Large cloud ⁠providers, also known as hyperscalers, are expected to invest more than $600 billion ​into data centres and other AI-related infrastructure this year alone, analysts say. 
Schneider makes ​power equipment, server racks and most importantly cooling systems that let energy-hungry data centres operate at peak performance. The booming demand for this technology, particularly from the United States, ​is driving Schneider's earnings, offering a stable and alternative revenue stream to ​the legacy electric equipment business. 
The $182 billion company, the fifth-largest by market value in France, ‌is ⁠reaping gains from its acquisition of U.S. liquid cooling specialist Motivair last year...
....MORE 
 
And finally, also from Reuters, this time via The Star (Malaysia), May 7:
 
Schneider Electric to launch Southeast Asia training hub in Malaysia 

KUALA LUMPUR: French energy technology firm Schneider Electric plans to open a South-East Asian training centre in Malaysia this year, a senior executive has said, as a boom in artificial intelligence (AI) infrastructure drives up power demand in the region.

South-East Asia’s data centre capacity is expected to grow three-fold by 2030, according to analysts, with Malaysia emerging as a major hotspot, attracting investments from tech giants, such as Microsoft, Amazon and Alphabet’s Google in recent years.

The country is also a key hub for semiconductors, accounting for about 13% of global testing and packaging....

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More than a hub, Malaysia has become a magnet for foreign investment. Previously:

May 2024 -  "Microsoft CEO Pledges $2.2 Billion in Latest Asian AI Investment" - This Time Malaysia
 
June 2024 - "Malaysia is emerging as a data center powerhouse amid booming demand from AI"
 
October 2024 - "Oracle to Invest $6.5 Billion in AI and Cloud Infrastructure in Malaysia"
Malaysia is becoming something of a regional hotbed for data centers....  
 
October 2024 - "Google breaks ground on Kuala Lumpur, Malaysia, data center" 

AI Use Case, 2017: "The makings of a smart cookie"

From the Google blog, December 4, 2017:

The makings of a smart cookie

Now that the holidays are in full swing, you’ve probably already dipped your hand into the cookie jar. You may have a favorite time-tested holiday cookie recipe, but this year we decided to mix up our seasonal baking with two new ingredients: a local bakery in Pittsburgh and our Google AI technology.

Over the past year, a small research team at Google has been experimenting with a new technology for experimental design. To demonstrate what this technology could do, our team came up with a real-world challenge: designing the best possible chocolate chip cookies using a given set of ingredients. Adding to the allure of this project was the fact that our team works out of Google’s Pittsburgh office, which was once an old Nabisco factory.

Using a technique called “Bayesian Optimization,” the team stepped away from their computers and rolled their sleeves up in the kitchen. First, we set a bunch of (metaphorical) knobs—in this case, the ingredients in the cookie recipe, i.e., type of chocolate; quantity of sugar, flour, vanilla, etc. The ingredients provide enough unique variables to manipulate and measure, and the recipe is easy to replicate. Our system guessed at a first recipe to try. We baked it, and our eager taste-testers—Googlers ready and willing to sacrifice for science by eating the cookies—tasted it and gave it a numerical score relative to store-bought cookie samples. We fed that rating back into the system, which learned from the rating and adjusted those “knobs” to create a new recipe. We did this dozens of times—baking, rating, and feeding it back in for a new recipe—and pretty soon the system got much better at creating tasty recipes.

After coming up with a really good recipe within Google, we wanted to see what an expert could do with our “smart cookie.” So Chef John, our lead chef in the office teaching kitchen, introduced the team to Jeanette Harris of the Gluten Free Goat Bakery & Cafe. Jeanette was diagnosed with Celiac over 10 years ago and she turned her passion for baking into an opportunity to offer treats to those who usually can’t partake. “When John came to me with the idea of creating an AI-generated cookie I didn’t know what to expect,” says Jeanette. “I run a small local bakery and take great care to ensure I’m providing safe, quality ingredients to my customers. But once the team took the time to explain what they were trying to do, I was all in!”....

....MUCH MORE

https://blog.google/innovation-and-ai/technology/research/makings-smart-cookie 

Capital Markets: "USD Remains Soft, Norway Hiked, Mexico to Cut, and UK Votes"

From Marc to Market:

Hopes that the war on Iran is nearly over and that the Strait of Hormuz will open soon and ease the supply shock that has rippled across the global markets continues to underpin risk appetites today. The AI boom and the infrastructure and defense spending in Europe are also contributing. The dollar is mostly softer, oil prices lower and yields extending their pullback. 

Preliminary data lends credence to claims that Japanese officials intervened again yesterday to strengthen the yen. The initial estimate suggests it slightly few dollars[sic[ than it did on April 30. Norway’s central bank surprised the market with a rate hike earlier today, and the swaps market is pricing in another. Sweden’s Riksbank stood pat after the softer than expected CPI reported yesterday....

....MUCH MORE 

Here's his comment on the yen:

The dollar plummeted quickly yesterday amid speculation that the BOJ stepped back in as the market approached JPY158. Within minutes, the greenback had been sold to almost JPY155.00. The preliminary estimate is that the BOJ sold around $30 bln. The initial rebound carried it back slightly through JPY156.55. European and North American participants pushed it down to around JPY155.60 before bids returned but the market seemed reluctant to push it above the JPY156.60 area ahead of the return of Japanese markets today. It has been confined to about today between JPY156 and JPY156.55. Options for $1.5 bln at JPY156 expire today. 

And In The OTHER Bayer Case: "US judge calls proposed Bayer Roundup settlement a 'filthy' deal"

Last week we looked at the case currently before the U.S. Supreme Court on the lack of labeling:

German Chemical Colossus Bayer Gets Mixed Reception At Supreme Court On Roundup Suits

And from the Environmental Working Group project, The New Lede, April 30:

US judge calls proposed Bayer Roundup settlement a “filthy” deal 

In a tense hearing on Thursday, a federal judge who has been overseeing thousands of cases in nationwide Roundup litigation expressed scathing criticism of a proposed class action settlement that Roundup maker Bayer is pushing forward in a Missouri court.

The proposed $7.25 billion deal, which Bayer and a group of plaintiffs’ attorneys unveiled in February, appears “mind-boggling,” “legally problematic,” plagued with “major problems,” and was filed in a secretive and hasty manner that amounted to a “filthy” deal, US Judge Vince Chhabria said in a hearing over the proposed agreement.

Chhabria, who serves in the Northern District of California, is in charge of multidistrict litigation (MDL) involving people suing the former Monsanto company, now owned by Bayer. Plaintiffs in the cases allege that exposure to Monsanto’s glyphosate weed killers caused them to develop cancer and Monsanto failed to warn them of cancer risks.

Chhabria has overseen the litigation since 2016, and in 2021 rejected a proposed $2 billion class action settlement filed in his court.

Bayer has since paid out more than $11 billion in jury awards and settlements to resolve more than 100,000 claims, but still faces approximately 60,000 unresolved cases. Company officials have said they hope the new settlement plan will help bring the litigation to a close.

The new class action settlement effort is not filed in Chhabria’s court, but instead was filed by Bayer and the group of plaintiffs’ lawyers in Missouri, in the St. Louis Circuit Court for the City of St. Louis, where many Roundup cases are pending.

“How this went down” 
The agreement was filed on Feb. 17. Lawyers for Bayer and the team of plaintiffs’ lawyers joining with Bayer in the deal held a meeting with the St. Louis judge the same day they filed it, without public notice and without a transcript being made of the conversations.

Bayer and the supporting plaintiffs’ counsel tout the deal as a means to “deliver billions of dollars of compensation to tens of thousands of plaintiffs.”....

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