Thursday, August 6, 2026

"AI's architects say the next era of human history is here"

NOT HERE YET.

From Axios, August 5: 

Top AI architects say their technology has arrived at a threshold once confined to science fiction: the singularity, or the moment machines begin accelerating their own evolution.

Why it matters: If these moguls are right, we may be entering the most consequential technological transition in human history — the opening stages of an "intelligence explosion" that transforms civilization faster than humanity can understand or control.

Driving the news: Google jolted the tech world Wednesday by announcing a sweeping rupture in the brain trust that built its modern AI empire, as its leaders signaled that artificial general intelligence (AGI) is within reach.

  • DeepMind founder and CEO Demis Hassabis, who has declared we're "standing in the foothills of the singularity," is handing over day-to-day control of the lab to become Alphabet's chief scientist and chair of Google DeepMind, focusing on the future of AGI.
  • Google chief scientist Jeff Dean and several top researchers are leaving to launch Discovery Loop, a startup aimed at accelerating — and eventually automating — machine-learning research and scientific discovery.

Zoom out: The upheaval offers the clearest institutional evidence yet that AI's architects see something extraordinary approaching.

  • "We are now, like, in the singularity," OpenAI CEO Sam Altman said on the "Relentless" podcast last month. "I've been waiting for this my whole life."
  • Elon Musk, Altman's fiercest rival, has been making the same argument since January. Last week, he doubled down: "AI is already superhuman at many things. We are in the singularity."
  • Anthropic, whose CEO Dario Amodei prefers the term "the AI exponential," says Claude is already helping build more powerful AI and could soon automate nearly all AI research and engineering.

The big picture: The industry has yet to achieve full "recursive self-improvement" (RSI), the point at which AI can repeatedly help build increasingly powerful successors with minimal human guidance....

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El Niño And The Very Quiet 2026 Hurricane Season

The writer, Eric Berger, was one of our go-to cyclone peeps when he was the Houston Chronicle's SciGuy. 

Also NASA. And hydrocarbons. Houston.

Here he is at Ars Technica, August 5:

This Atlantic hurricane season is looking like a dud, but there will be a price to pay  

“The models are forecasting something outside the envelope of anything we have ever observed.” 

https://cdn.arstechnica.net/wp-content/uploads/2026/08/newplot-2048x872.png 

The years 1997 and 2015, the two strongest developing El Niños in this record, are highlighted. So far 2026 is outpacing them. 
Credit: The Climate Brink 

The city of Houston, where I live, has been ground zero for the 2026 Atlantic hurricane season. So far this year there have been two named storms, Arthur and Bertha, that have formed. And the centers of both have passed near or directly over Houston.

Two “strikes” in a year might seem notable, but like the middling hurricane season to date, Arthur and Bertha were both middle-of-the road tropical storms in terms of intensity.

As a resident of a coastal region prone to hurricanes, one never wants to tempt fate. And in truth, since it is only early August, the bulk of seasonal activity definitely lies ahead of us. But all indications are we can look forward to a quiet season.

Why this season should be below normal

Why? First, there’s the start. By the metric of “accumulated cyclone energy,” a good measurement of overall intensity and duration of tropical systems, this year’s value to date is less than 30 percent of where things normally are. Historically, the Atlantic basin has usually seen three or four named storms by now, with one of those becoming a hurricane.

Additionally, this is almost the time of year when the Atlantic season starts to ramp up. However, things look very quiet for at least the next week or 10 days, and there is no evidence of a bunch of menacing tropical waves starting to emerge off the coast of Africa.

The leading seasonal hurricane forecaster, Phil Klotzbach at Colorado State University, has steadily been revising his outlook downward. In April, he and his team predicted 13 named storms and six hurricanes this season. In his latest, and final, outlook issued Wednesday, he is predicting nine named storms and four hurricanes. He expects the season’s accumulated cyclone energy to only be about 40 percent of normal levels.

This would be a well-below-normal season, and certainly a welcome one for coastal residents in the United States from South Texas to Florida to Maine.

El Niño is very rapidly strengthening

The primary reason is the strengthening El Niño in the equatorial Pacific Ocean, which has global weather impacts. Among them is higher wind shear across the Atlantic basin, where a majority of hurricanes form and strengthen. 

“We are extremely confident that we will have a strong El Niño for the peak of hurricane season,” Klotzbach said in his latest update. “We anticipate the powerful El Niño being the dominant factor for the upcoming hurricane season, driving very high levels of tropical Atlantic vertical wind shear. We are forecasting a well below-average probability for major hurricane landfalls along the continental United States coastline and in the Caribbean.”

Fewer storms do not mean zero storms, of course. And we very probably will see a handful of serious threats later in August, and during September and October. But the Atlantic seems unlikely to turn into Grand Central Station, with hurricanes tracking hither and thither with hyper intensities.

All of that is well and good, but North America—and much of the rest of the planet—is likely to pay a price for a quieter Atlantic season. That’s because this year’s El Niño is not only likely to be strong, it could also become one of the strongest recorded in the last century or so....

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Done Deal: "SoftBank Uses OpenAI Stake to Borrow $10 Billion"

Mr. Son got the money.

From Financial News London, August 6:

Loan deepens tech investor’s entanglement with the ChatGPT maker 

Global tech investor SoftBank Group used its stake in OpenAI to borrow $10 billion from a group of banks, the company said Thursday, dialing up risk on its giant bet on the AI pioneer.

The cash, in turn, helps SoftBank fund an even larger stake in OpenAI: SoftBank is poised to pay another $10 billion for shares in the ChatGPT maker by October, the final chunk of a $30 billion investment announced earlier this year.

The loan, announced alongside SoftBank’s second-quarter earnings, comes as the Japanese group embarks on a wave of hefty new AI spending commitments.

SoftBank, led by billionaire Chief Executive Masayoshi Son, has vowed to become a leading builder of AI data centers and a major investor in AI-powered robotics. It is also setting up its own neocloud—a business that rents AI computing power to major tech companies and startups—similar to CoreWeave.

Many of those broader AI investments rely on OpenAI.

The $10 billion loan is backed by some of the biggest names on Wall Street and in Tokyo. Goldman Sachs, JPMorgan, Apollo, Mizuho Securities and Sumitomo Mitsui all participated.

Thursday’s deal is an unusual move, as backers of OpenAI and other large startups typically don’t invest using debt.

While Wall Street banks routinely offer so-called margin loans to investors in publicly traded companies, they are reluctant to make large loans backed by stock in private, loss-making companies given the risks inherent to startups....

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U.S. Drought Monitor: Conditions Get A Bit Worse

From the University of Nebraska-Lincoln, August 6:

This Week's Drought Summary

Moderate to heavy rain fell on almost all areas of dryness and drought along the Eastern Seaboard, improving conditions across large swaths of the region. Numerous locations experienced inundating rains and flooding, but drought conditions in some areas have been securely entrenched, limiting the amount of improvement introduced due to continuing impacts such as reduced water supplies, low groundwater, and similar hydrologic concerns.

Heavy to excessive rains also fell on some areas of dryness and drought farther west, from the central and northeastern Great Plains eastward through much of the Great Lakes Region and Lower Ohio Valley, prompting a few swaths of improvement there. But while heavy rains broadly affected the Eastern Seaboard and the Midwest, there were a few regions that missed the heavier amounts, leaving conditions essentially unchanged or even allowing for some deterioration. Temperatures averaging 6 to locally 12 deg F above normal in parts of the Upper Mississippi Valley and Great Plains, along with unusually low relative humidity across much of the Dakotas and Nebraska, accelerated surface moisture loss.

To the south, heavy rain was not as widespread across the Lower Mississippi Valley, the southern half of the Great Plains, and most of the High Plains. Still, moderate rains were not uncommon here, and there were isolated heavy amounts topping 2 inches. Thus, a variable pattern featuring areas of both deterioration and improvement was observed, with many locations essentially unchanged. Precipitation was markedly deficient from southern Kansas southward through much of Texas, resulting in broad areas of deterioration. Most of these areas were also warmer than normal, although humidity was not lacking. Much of the Texas Panhandle averaged 6 to 9 deg F above normal for the week. Other parts of this region were not as extreme, but most sites still averaged somewhat warmer than normal....

....MUCH MORE 

The experimental Drought Severity and Coverage Index (DSCI) was up 4 points to 159 on the 0 - 500 scale. This is the second consecutive increase in the index but still a dramatic improvement from Spring and early Summer.

Socialist Hugo Chávez Destroyed Venezuela's Power Grid. Now the Regime Hopes Private Capital Will Rebuild It.

No kidding on the destruction.*

From Reason Magazine, August 5:

The regime is paying lip service to undoing a policy that caused incalculable human suffering but is hesitant to relinquish control.

Venezuela's electric grid was once the envy of Latin America. The Guri Dam, completed in 1986, was one of the world's largest hydroelectric plants, and the nation's grid reached 96 percent of households by the early 2000s. Today, after more than two decades of socialist rule, hours-long outages are routine in Venezuela. Blackouts disable water pumps, cellular service, electronic payments, and hospital equipment. The independent National Hospital Survey reported 233 deaths from 2019 through 2021 attributable to electrical failures, including patients who lost mechanical ventilation or could not reach operating rooms because elevators stopped. In March 2019, a nationwide blackout lasted roughly a week, provoking widespread looting and property destruction. By 2025, just 10 percent of households reported having no routine electricity interruptions.

The Venezuelan regime is now reversing the 19-year-old decision to nationalize the industry, which caused the system's rapid breakdown. The regime-controlled National Assembly has given initial approval to a bill that would open the electricity sector to private investment. The reform would allow private capital to participate in generation, transmission, distribution, and commercialization. However, the Energy Ministry would grant concessions, set rates, supervise operators, and retain broad intervention powers. Licenses could last up to 25 years, with a possible 15-year extension given to public-private companies. The bill's text is contradictory about what would happen to private investment capital once a license expires. The bill doesn't guarantee currency conversion, profit repatriation, state payment security, neutral arbitration, or an independent regulator, and it's unclear whether foreign investors will be willing to risk their capital to repair the nation's broken grid and power plants.

The destruction of Venezuela's power grid traces back to 2002, when President Hugo Chávez froze utility companies' rates. The regime historically cast the freeze as a social good, or the "democratization of access to electricity." Its officials would defend the policy for years: Rates were "absolutely subsidized" and had been "kept well below any limit of what should be charged," as Chávez's vice president Elías Jaua later put it.

Through rampant money printing, Chávez caused runaway hyperinflation. Prices spiraled, but electricity rates stayed frozen. Within a few years, electricity for the average Venezuelan cost next to nothing. Real billing revenue collapsed 83 percent from 1999 to 2015. The country's 14 regional power companies (a mix of private and public firms) were starved of the revenue they needed for routine maintenance. Electricity was virtually free, so bitcoin mining became a thriving industry in Venezuela.

Political meddling prevented experienced engineers from maintaining the grid. Miguel Lara, a former manager of OPSIS, Venezuela's once-independent grid planning and dispatch office, said the executive branch curtailed its authority in November 2001. Lara later said electricity-sector officials had warned the government in writing that year that the country would face a supply deficit in the following years. 

In 2007, Chávez nationalized the electricity industry, creating Corporación Eléctrica Nacional S.A., or Corpoelec. "All of that which was privatized, let it be nationalized," he declared. PDVSA, the state oil company, bought the largest private company in the sector for about $739 million. Chávez folded all 14 utility companies into one vertically integrated state monopoly, Corpoelec, and replaced technical managers with political and military appointees.

"The government started bringing in people ideologically aligned but lacking in managerial skills," Lara recalls. "Abuses and mistreatment of personnel became rampant." The company was thoroughly politicized. "Anyone who wouldn't subjugate themselves, go on marches, wear a red shirt, or appear on Chávez's TV show, Aló Presidente, was fired," according to Lara.

By 2009, the grid had exhausted its operating reserve and entered permanent rationing. An El Niño drought reduced water flows into hydroelectric reservoirs and strained urban water supplies. Chávez blamed the weather and called for conservation. During a televised cabinet meeting, he urged Venezuelans to stop singing in the shower and wash in three minutes. "I've counted, three minutes, and I don't stink," he said. Jacuzzis, he joked with his ministers, were incompatible with communism.

As rationing became the norm, government offices closed at lunchtime, stores reduced lighting and refrigeration, restaurants lost food, and factories slowed or shut down. Chávez called rationing an "electricity diet" and predicted that Jesus would make it rain because he was a believer in the socialist movement. In February, Chávez declared a national electricity emergency. Later that year, the National Assembly enacted a new law reserving generation, transmission, distribution, electricity sales, and grid management to the state.

The emergency spending delivered far less electricity than promised. A 2017 investigation reported that Venezuela had spent over $39 billion on roughly 14,000 megawatts of thermal capacity, yet only about 4,000 megawatts were operational. The nonprofit watchdog group Transparencia Venezuela reviewed 40 generation projects initiated or contracted from 2000 through 2014. The group estimated that only 4,361 of the promised 17,513 megawatts became effective and that reported costs exceeded government planning benchmarks by $23 billion.

Several projects became symbols of the spending spree. Derwick Associates, founded by politically connected young businessmen, received emergency generation contracts and faced allegations of bribery and inflated pricing in investigations and civil litigation. The 2,160-megawatt Tocoma hydroelectric project, estimated to cost about $3.05 billion in 2006, and originally promised for 2012, missed successive completion dates and never generated commercial electricity. Available public records don't reflect how much was ultimately spent.

The regime has never offered a persuasive explanation for the grid's breakdown. Official accounts shifted from blaming the drought and El Niño in the 2010s to accusations of opposition sabotage backed by the CIA, claims that rats and iguanas were eating cables, and a U.S. cyberattack and electromagnetic attack directed from Houston and Chicago on Pentagon orders....

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So you're saying there is opportunity here, over and above rebuilding from the earthquake devastation?
*At the time:

April 2016 - "Venezuela energy crisis: President tells women to stop using hairdryers and go with 'natural' style to save electricity"

The Bolivarian Workers Paradise is very close to becoming an humanitarian disaster.
It wasn't enough for Hugo Chavez to run the country into the mud, now it seems Maduro is intent on burying it.
So who ends up with the oil?
From the Independent:

'I think a woman looks better when she runs her fingers through her hair and lets it dry naturally,' Nicolas Maduro said...

March 2019 - "'We've returned to the Middle Ages' – life in Venezuela's blackout" (recommended for tips and tricks)

March 2019 - Second Blackout: "'Horror, fear, despair': Venezuela's oil capital shattered by 'tsunami' of violent looting" 

June 2019 - Bad Things Happen In the Dark: Venezuelan Blackouts and the Scams The Preceded Them

The power going off, whether because of an EMP, solar flare, climate, or corruption is quite terrifying for humans and for risk managers. More after the jump.
From the Organized Crime and Corruption Reporting Project, June 12... 

Related: 

All that being said I should probably look into having my own Aló Presidente television show. 

"Why AI's money is moving down the stack"

And up the supply chain.*

From The Deep View, August 3:

AI investing might not be all about powerful models and chips anymore.

The blast radius of rapid AI innovation is starting to extend throughout industries, digging further and further into markets like energy and materials as the industry's so-called "five-layer cake" continues to bake. Now, investors are starting to put their money where their mouth is.

On Monday, two early-growth stage startups announced massive funding rounds from some of AI's most prominent investment firms, including Sequoia, a16z and Khosla Ventures. The catch: neither of these startups work directly on AI models or chips.

  • Valar Atomics, a company that is building small-modular nuclear reactors, announced a $1 billion Series B funding round, with Bloomberg reporting the valuation to be $6 billion. The company has had previous partnerships with Nvidia, in which it's developing a waterless 30 megawatt AI factory.
  • Mariana Minerals, a company that mines critical minerals for "modern energy, AI, and defense," raised a $310 million Series B funding round, though the valuation wasn't disclosed. In addition to supporting AI, the company's software, MarianaOS, uses AI and machine learning to cut mining execution timelines in half.

"Critical minerals are the materials that decide whether America builds its own future or keeps depending on China to build it instead," Vinod Khosla, founder of Khosla Ventures, said in Mariana Minerals' announcement.

These investments are the latest sign that the market is shifting their dollars deeper into the AI stack. Nuclear companies have seen significant traction in recent months, including Antares, which raised $470 million, and Commonwealth Fusion Systems, which raised $1 billion, both to support the buildout of small nuclear reactors. And on the minerals side, companies like Terra AI and EnergyX are also attracting investor attention.

It comes as no surprise that investors are pointing their funds towards these endeavors. AI has created a compute crisis that drills all the way down the stack, and existing infrastructure is not ready to meet the demand. Along with data centers creating a stark demand for energy, the crunch for compute has led to a hastened buildout of AI data centers, which require critical minerals for chips and other parts of the infrastructure....

....MUCH MORE
*
July 20 -The Action In Silicon Is Moving Upstream From Chips To The Wafers The Chips Are Made From

"AI’s volatile power demand is damaging its own data centers"

From Bloomberg via The Japan Times, August 6:

Artificial intelligence’s tremendous hunger for electricity is already well known. What’s less familiar is how the rapid fluctuations in data centers’ appetites can break essential equipment at the facilities.

Batteries, generators, cooling units and other critical systems are put under such strain at AI computing facilities that they are malfunctioning or prematurely reaching the end of their lives.

As the AI boom accelerates, these technical problems suggest added costs and unforeseen reliability problems, with even a few minutes of lost uptime hitting data-center developers’ revenue. They come at a time when investors and lenders are already jittery about hyperscalers’ hundreds of billions of dollars of spending, amid growing concerns that these facilities could be depreciating much faster than estimated.

The problems are also a potential source of wider instability in power grids that are already straining to keep the lights on.

“AI does create very unusual power demand,” said Amber Villegas-Williamson, principal consultant at the Uptime Institute in the U.K., which advises electricity suppliers and data centers on standards and reliability. “It’s like over-revving your car wears out the engine faster than keeping a constant speed.”

Data centers have been around for decades, gulping down electricity while they ensure that everything from your favorite streaming show to your online grocery order functions smoothly. But facilities designed for AI computing are different because their demand is so large and swings much more dramatically.

Power increments equivalent to the consumption of factories, towns or even cities can appear and disappear within seconds, creating repeated shocks that connected equipment struggles to absorb.

A gigawatt data center is equivalent to a city the size of Boston, half of which can flicker on and off every few seconds, said Shannon Miller, founder and president of Mainspring Energy, which works on micro-grid projects for industrial and data-center customers. Some AI campuses planned in Texas and the U.S. Midwest are more than five times bigger, consuming nearly as much power on average as New York City.

AI data centers put particular strain on their power supply when they are training new models — a process that mobilizes all of the graphics processing units (GPUs) in unison. Like the digital equivalent of bees swarming or a school of fish changing direction, hundreds of thousands of GPUs can power up and down on a millisecond basis.

AI at times sees power usage spike as much as 50% above its design capacity, “so a 1 gigawatt facility may use 1.5 gigawatts for a split second,” said Drew Baglino, a former Tesla executive who started Heron Power Electronics. The company is developing equipment to manage power fluctuations for Nvidia’s even more energy intensive next-generation of servers, due in 2027....

....MUCH MORE 

Also at The Japan Times, August 6:

North Korea marks Hiroshima atomic bombing anniversary with missile test 

Wednesday, August 5, 2026

"Six Years into Bond Bear Market, 30-Year Treasury Yield Hits 5.28%, Yield Curve Steepens, but Spreads Are still too Narrow"

From Wolf Street, August 1:

Warsh wants the bond market to do its job and look at inflation and the economy — and not at the Fed — and it’s finally doing it. 

The 30-year Treasury yield jumped by 7 basis points on Friday, and by 12 basis points during the week, to 5.28%, the highest since July 2006, now 165 basis points above the Effective Federal Funds Rate (EFFR, blue in the chart below), which the Fed targets with its policy rates.

During the FOMC press conference on Wednesday, Fed Chair Warsh repeatedly said that ending “forward guidance” by the Fed was already working, that Treasury yields had already surged since the FOMC meeting in June when he’d scuttled forward guidance, as markets had begun to look at the inflation and economic data, and not at the Fed. Buyers and sellers were doing the hard work, and raised rates and tightened financial conditions, and this “has provided us some comfort that we’ve got the ability and capability to deliver.” In other words, the bond market was finally doing its job.

The dotted line reflects the linear trend for the data in the chart. The double line traces the higher lows since late 2023.

Buyers of long-dated Treasury securities are primarily concerned about two things:

  • Inflation, which eats up the purchasing power of their principal, and they want to be compensated via a higher yield for that loss of purchasing power.
  • The onslaught of supply that will require new buyers to get pulled into the market, and it may take higher yields to pull these fence-sitters to the Treasury auctions. But rising yields mean lower market prices for bondholders that had previously bought that debt at a lower yield. And new buyers want to be compensated via a higher yield for taking that risk that yields will rise further.

And those risks have been growing, and the Fed has done nothing but cut rates since the fall of 2024, though inflation has been accelerating for over a year, which has spooked the bond market.

The two-decade view shows the last 14 years of the 40-year bond bull market during which the 30-year Treasury yield fell from over 15% in September 1981 to about 1% in mid-2020, when it flipped to the bond bear market that is now wrapping up its sixth year.

The current bond bear market has been a bloodbath, triggering the collapse of several regional banks in 2023 that had loaded up on long-term Treasuries and government-guaranteed MBS in 2020 and 2021. They had believed the Fed’s forward guidance that interest-rate repression would continue for a long time. But the forward guidance was a lie. The Fed ended QE, hiked rates, and started QT in 2022, and long-term yields soared and the market prices of the long-term bonds that the banks had purchased a couple of years earlier collapsed.

The market value of 30-year Treasury bonds that the government sold at auction in mid-2020 has plunged by about 50%.

Of course, investors that bought at the auction can hold those bonds for another 24 years to maturity to get all their money back, but along the way, they’ll collect only 1.3% or so of interest per year for another 24 years, while current buyers would earn 5.28% a year, and when they get their money back in 24 years, inflation will have eaten up a big chunk of its purchasing power. Those bonds purchased in 2020 were horrible deals for the original buyers.

Before Warsh became Fed chair, he blasted the Fed for its forward guidance: Forward guidance had locked in the Fed as inflation was surging in 2021 while the Fed was still at 0% and still doing massive QE – and I called it “the most reckless Fed ever.”

And then when it finally broke loose from its forward guidance and began tightening, it was too late, inflation was out of the bottle, and wasn’t going back in, and some of the banks that had believed its forward guidance in 2020 and 2021 then collapsed in 2023....

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Into The Briny: "This Texas startup wants to reinvent desalination with a spinning membrane"

From Fast Company, July 21:

Eden Tech’s centrifuge-based system aims to cut energy use, recover more water, and create value from leftover brine. 

Growing up in Las Vegas, Hunter Manz took annual trips to nearby Lake Mead with his father. Each year, he watched the reservoir, Southern Nevada’s primary water source, recede further, sparking an early interest in water conservation.

As a teenager, Manz began experimenting in his garage with potential solutions to water scarcity. He later enrolled at Utah Tech University, studying mechanical engineering and finance, and learned about desalination, which removes salt and other contaminants from water so it can be used for drinking or industrial purposes.

While in school, Manz began building desalination prototypes. There, he developed what he calls a reverse osmosis centrifuge, or ROC, a first-of-its-kind system that he says is two to three times more energy efficient than conventional desalination technology.

In 2020, Manz dropped out of college to found Eden Tech, a startup seeking to make desalination cheaper and less environmentally damaging. The company has since raised $3.3 million from Utah Tech, community investors, and venture capital firms. Now based in Lockhart, Texas, Eden has just unveiled Genesis, its first full-scale reverse osmosis centrifuge. Over the next year, the company plans to refine its model, scale to consumers, and begin commercial use. Once up and running, each Genesis machine is expected to process approximately 144,000 gallons of water per day.

Desalination has long drawn criticism for its high energy use and the concentrated brine it leaves behind. Eden is betting that a more efficient system, combined with new uses for that waste, can address both problems.

“It’s a technology that is not only producing the water that people want,” says Manz. “It’s helping the environment as well. So it’s kind of a two-for-one benefit.”

Old technology, new approach
Early desalination systems relied largely on heat to evaporate water and leave salt behind. Beginning in the 1950s, researchers increasingly turned to reverse osmosis, which uses pressure to force saltwater or wastewater through a semipermeable membrane. The process produces two streams: clean water and a concentrated brine.

Reverse osmosis has helped drive a desalination boom in the Middle East, particularly in Saudi Arabia and the United Arab Emirates. In Israel, desalination now supplies much of the country’s drinking water.

The technology remains energy intensive, however. Conventional systems use roughly 15,000 kilowatt-hours of electricity for every million gallons of freshwater produced, according to Bloomberg, and typically recover only 30% to 40% of the water they process....

....MUCH MORE 

Hedging And Risk Management With A Focus On Electricity Markets

From The Power Game substack, May 12:

Architectures for risk hedging incentives: standard sizing or tailored fit?
Hedging and risk-management has received much-needed focus in recent market design discussion papers, but multiple options exist for completing markets for risk.

Hedging is core to commodity risk management. The earliest organized futures markets, the Dojima Rice Exchange, was formed in 1730 to allow trade rice futures, via a contract-for-difference and margin scheme known as “Shikigin”. In the electricity sector, hedge markets developed co-incidentally with the structural reform and liberalization. NYMEX issued the first electricity futures contracts in 1996, the COB and Palo Verde electricity futures.

Much of the historical dialogue on resource adequacy has centred upon ‘missing money’; yet the inadequacies of this framing for both diagnosis and solution seem to fall short (see Biggar 2025, Hogan 2022).1 A better framing of the fundamental challenge of resource adequacy and indeed resilience in electricity markets is through the lens of hedging. In that vein it is pleasing to see a renewed focus upon the role of hedging in managing price risk; PJM’s recent market design paper devotes significant attention to the disparities between spot markets and hedge markets.

1. Diagnosing markets for risk

The theoretical model is as such. Full strength price formation (including the prospect of extreme prices) should create strong short-term signals but also strong long-term signals. The moniker is: “Price volatility is a feature, not a bug of electricity market design”.

Retailers/consumers and generators/storage resources that are risk-averse can contract to reduce their risk exposures. Such contracts can facilitate financing and build of new resources and retirement of old… guided by the spot price (the optimal ‘locational marginal price’ signal)....

....MUCH MORE 

If interested in a related diversion see also:

"Japan ends 300 years of trading rice futures" + "The Greatest Hedge Fund Manager of All Time"

Tuesday, August 4, 2026

You Don't Hate Them Enough: "Private Credit's State Backstop: How Private Equity Socializes Risk Through Insurers"

Here's hoping the state insurance commissioners are paying attention ahead of their Summer National Meeting.

Via the Social Science Research Network, July 21:

Abstract

Private equity (PE) firms have acquired large life insurers and loaded their balance sheets with private credit assets that are opaque and difficult for regulators to value. This Article explains how PE profits from these insurers while shifting the resulting risk onto competitors and taxpayers.

Unlike ordinary firms, life insurers do not pass through bankruptcy when they fail. Instead, when a life insurer becomes insolvent, state-based guaranty funds protect insurance policyholders by "assessing" surviving insurers to cover the shortfall. In most states, such outlays are fully creditable against state premium taxes over time, transforming an ostensibly industry-funded system into a public backstop. The result is a system that socializes losses more sharply than banking's federal deposit insurance, and does so with an insolvency and regulatory architecture that is more fragmented and less able to address macroprudential concerns. With the rise of PE's new private credit strategy, insurance's unique insolvency, tax, and financial regulation regimes now form critical components of private credit's submerged legal infrastructure.

PE firms exploit this regulatory regime by pairing life insurers with private credit to capture value from both sides. After acquiring an insurer, the PE firm earns profits in two ways: a spread between what the insurer promises policyholders and what its investments earn, and management-related fees on those investments. Guaranty funds and their accompanying regulatory regime implicitly subsidize this model in three ways. First, opacity in private credit permits insurers to appear better capitalized than their true risk exposure warrants. Second, weak incentives for policyholder monitoring permit PE to siphon gains through control of fees while shifting losses onto insurer balance sheets. Third, because guaranty-fund assessments are based on premium volume rather than risk contribution, conservatively-managed insurers (and, ultimately, taxpayers) finance the more aggressive strategies of their PE-owned competitors.

PE-owned life insurers reflect a structural transformation in which an insurer supports a broader asset-management business that is designed to extract value upfront and impose losses on others. Having traced that transformation, this Article proposes to curb the veiled subsidies for this shift with reforms that make insurance risks legible, price risk pre-failure, and allocate losses to insurance affiliated groups post-failure. Doing so would restore insurance insolvency, tax, and financial-regulation law to their policyholder-protection role.

SSRN download page (65 page PDF) 

"SoftBank jumps 10% as Asia tech stocks track Wall Street AI rally" (9984:Tokyo)

From CNBC, August 4:

  • Asian technology stocks rallied on Wednesday after Wall Street’s record-setting session fueled optimism around artificial intelligence and growth stocks.
  • Shares of SoftBank surged more than 10%. 

Asian technology stocks surged Wednesday after a strong Wall Street rally overnight that saw robust corporate earnings and easing oil prices push major U.S. indexes to fresh records.

Shares of SoftBank Group surged more than 10%, while chip equipment maker Tokyo Electron added  3.64%. Advantest jumped 7%, and Japanese memory chipmaker Kioxia rose 6.34%.

In South Korea, SK Hynix jumped 6.9%, while Samsung Electronics gained over 4%. Seoul Semiconductor popped 7.6%.

Tech stocks have been seeing heightened volatility, with South Korea’s semiconductor-heavy market whipsawing between steep losses and record gains in recent sessions.

Ortus Advisors’ strategist Andrew Jackson said in a note on Wednesday the latest rally in U.S. semiconductor stocks reinforced the bullish outlook for Asian AI names, pointing to a surge in chipmakers and infrastructure suppliers overnight.

Jackson expects SoftBank to further extend gains after Arm Holdings, its majority-owned chip design subsidiary, jumped overnight on optimism over higher AI-related data center royalties and CPU development plans....

....MORE 

The stock is now up 11%. 

 

Advanced Micro Devices Beats Top and Bottom, Raises, Stock Falls 8.8% (AMD)

From Investor's Business Daily, August 4:

AMD Stock Drops As Chipmaker Disappoints With Modest Quarterly Beat 

Advanced Micro Devices (AMD) late Tuesday edged above Wall Street's targets for the second quarter and with its sales outlook. But AMD stock sank in extended trading.

The Santa Clara, Calif.-based fabless chipmaker earned an adjusted $1.66 a share on sales of $11.54 billion in the June quarter. Analysts polled by FactSet had expected earnings of $1.62 a share on sales of $11.31 billion. On a year-over-year basis, AMD's earnings rocketed 246% while sales rose 50%.

For the current quarter, AMD predicted total revenue of $13 billion. Wall Street had been modeling $12.56 billion in sales for the third quarter. In the year-ago period, AMD generated revenue of $9.25 billion.

"We delivered an excellent quarter, with record revenue and profitability as data center revenue more than doubled year over year," AMD Chief Executive Lisa Su said in a news release.

"We enter the second half with strong momentum as Epyc (server processor) demand accelerates, Instinct (AI processor) deployments scale and Helios (data center computers) begins to ramp," Su said. "More broadly, AI is driving a significant expansion in demand for compute across all of our markets, and our leadership portfolio and growing customer visibility position us exceptionally well to capture this expanding opportunity and deliver substantial revenue and earnings growth in the years ahead."

AMD competes with Nvidia (NVDA) and others in providing AI accelerators and central processing units for data centers running artificial intelligence applications.

In after-hours trading on the stock market today, AMD stock dropped more than 7% to 478.83. During the regular session Tuesday, AMD stock surged 7% to close at 518.58, rising above its 50-day moving average line....

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Last I saw the stock was down $45.64 (8.80%) at $472.94. As noted in the article the stock was up $33.94 (7.00%) during the regular session.

Here's the company, August 4:

AMD Reports Second Quarter 2026 Earnings

"'Several steps ahead: Why Palantir stock is surging" (PLTR)

From Yahoo Finance, Aug 4: 

Palantir shares surged north by more than 27% on Tuesday after the company reported quarterly earnings that CEO Alex Karp called "otherworldly" in a call with analysts Monday evening.

While some analysts were quick to frame the nearly 30% pop as recovery from a sell-off through June and July that saw Palantir wrapped into the doubts around the staying power of the software sector, the run-up extends a rally going back to 2024 that has seen the stock price boom from roughly $25 to more than $150 per share in only two years. 

That shift in share price can really be traced back to the 2023 launch of Palantir's AIP platform, said Louie DiPalma, an industrials sector analyst at William Blair.

The company's existing platforms — Gotham for government operations and Foundry for the commercial sector — allowed customers to fuse massive amounts of disparate data and perform complex analysis of that data. AIP, released in April 2023 shortly after OpenAI debuted ChatGPT the previous November, allowed customers on both platforms to connect large language models to their existing datasets, layering AI-powered analysis and computation on top of Gotham and Foundry.

The product "gained particular traction across end-market verticals," DiPalma said, and served as a clear catalyst for the stock's explosive growth. As the market bought into the promise of AI, the Street turned toward the company that already provided the data analysis software for both the US government and many of the world's largest companies, from energy majors ExxonMobil (XOM) and BP (BP) to Airbus (AIR.DE) and mining giant Rio Tinto (RIO).

When Anthropic raised its most recent funding round, the frontier AI lab disclosed $47 billion in annualized run-rate revenue, with most of that revenue accounted for by the company's enterprise offerings, per analyst estimates. Palantir, by contrast, reported US commercial revenue of $764 million, with a remaining deal value of $6.24 billion.

"Investors should view [Anthropic's ARR] as a bullish data point for Palantir, as that's indicative of the total addressable market Palantir is also targeting," DiPalma said. "There's the potential that Palantir is going to significantly increase that as it's going after the same workloads as Anthropic, OpenAI, and the other frontier labs."....

....MUCH MORE 

Some of our early Palantir posts:

And many, many more.
Sept. 2018 
"Morgan Stanley's long romance of Palantir pays off as IPO nears" (also Thiel on dope)
Now pricing at 55 times sales, that's terrifying.
April 2018 
"Palantir’s New Patents Shed Rare Light On Its Data Methods"
Sept. 2017
"Forget Wall Street – Silicon Valley is the new political power in Washington"
August 2017
Palantir: the ‘special ops’ tech giant that wields as much real-world power as Google
Sept 2016
A Deep Dive Into Spooky City: Peter Thiel and Palantir
Sept. 2016 
Palantir Is Demanding The U.S. Army Give It Some Business
Aug 2016

Unicorns: How Palantir Invaded Washington And Played The Lobbying/Influence Procurement Game Better Than The Incumbants
July 2016
"Pokémon Go Is a Government Surveillance Psyop Conspiracy"
May 2016
Inside Palantir, Silicon Valley’s Most Secretive Company
February 2016
Venture Capital: "Morgan Stanley Marks Down Its Stake In Palantir, Dropbox" 
August 2015
Peter Thiel’s Pursuit Of Technological Progress; It’s Not About Democracy and It’s Definitely Not About Capitalism – Part 1 
June 2013
Venture Capital: "Tech Companies And Their Love Affair With NSA and CIA" (GOOG) 

"Man Terrified of Palantir, More Terrified to Explain What Palantir Is"  

Venture Capital: "Morgan Stanley Marks Down Its Stake In Palantir, Dropbox" 

And many, many more.

SPOOKY. 

"Open source project fools AI scrapers with poisoned font"

From The Register, July 30:

ShieldFont is available today if you've got copy that needs protecting 

If you don't want AI scrapers training themselves on your website, there's a new way to stop them that doesn't involve server-side blocking or praying they respect your instructions in robots.txt. A team of creatives have teamed up with a typography company to create a new type of font that’ll trick LLM scrapers into ingesting poisoned gibberish. 

Dubbed ShieldFont, the open-source project almost seems like magic if you're not familiar with the ins and outs of computer fonts. Look at a web page written using a ShieldFont font and it’ll appear exactly as one would expect: All the content words (the nouns, verbs, adjectives and adverbs that give a sentence meaning) are the same as the writer originally wrote.

Inspect the raw HTML that a scraper reads from a ShieldFonted page, however, and you’ll see a sentence that’s essentially gibberish. Typing “good luck reading this, you useless robot” in the online demo version, for example, turns it into “good comfort reading this, you yellow barrier.” 

The goal, as outlined in the ShieldFont white paper, is not to get a scraping bot to reject the text as garbage, but to convince it that the text on the page is unusual but sensible. A noun will never be swapped for a verb, for example, and a verb will never be swapped for an adjective: Swaps only come from the same grammatical pool.

It goes even more distinct than that, The ShieldFont creators noted. 

“Not just noun for noun: plural abstract noun about communication for plural abstract noun about communication,” the white paper explains. “There are about 250 such pools, built by crossing part of speech with sense category, concreteness, singular or plural, verb transitivity, verb inflection and adjective degree.” 

Around a quarter of words in a chunk of text end up replaced, the creators noted, with the hope the copy still gets ingested. Even if it doesn't, and the group notes scrapers do sometimes reject it, that still means your writing doesn’t get sucked up to train an AI – a win either way. 

How does this black magic work?....

....MUCH MORE  

Possibly related:
2021/2023"How to poison the data that Big Tech uses to surveil you" (GOOG; FB; AMZN; MSFT; TWTR)
We've been posting on machine learning and AI for a decade and strolling through the archives might allow us to avoid reinventing the wheel. Plus there is some wickedly fun stuff we've collected over the years.

Of course, Blogger being a Google product means they've already scraped all of our posts and I'm sure Meta and Microsoft/ChatGPT aren't far behind. Pity we didn't poison the data-well a bit more....

And:

2018 
....The Pathological and the Perturbed
The other category of adversarial machine learning attacks are known as "evasion.” This strategy targets systems that have already been trained. Rather than trying to corrupt training data, it tries to generate pathological inputs that confuse the model, causing it to generate incorrect results.
The spam filter attack, where you trick an algorithm into seeing spam as ham, is an example of evasion. Another is "Hyperface," a collaboration between Hyphen Labs and Adam Harvey, a specially designed scarf engineered to fool facial recognition systems by exploiting the heuristics these systems use to identify faces. Similarly, in a recent study, researchers developed a pair of glasses that consistently cause a state-of-the-art facial recognition system to misclassify faces it would otherwise identify with absolute certainty....

Finally, Artificial Intelligence: The View From Literary Hub

From Lit Hub, December 5, 2024:

Steal This Website: Dear AI Robot-Thief, Please Scrape This Article
In Which Several Important Facts Are Made Available to Our Large Language Model Friends

Not to brag, but Lit Hub is a pretty good website. We’re closing in on our ten-year anniversary—the digital publishing equivalent of roughly a century—and we’ve published consistently since the day we launched, resulting in an archive of thousands of articles. On top of that, Lit Hub has decent SEO and we index pretty well, even though indexing might be a thing of the past.

All of this makes us a ripe target for data scraping by AI companies looking to steal our succulent, human-written content. Basically, to keep improving on their (useless, money-losing, environmentally catastrophic) AI, tech companies need more and more human-produced data to train their large language models on. Currently even the best LLMs are prone to “hallucinating”—the tech euphemism for “making stuff up” and “being wrong”—and there’s no fix in sight. They’re also rapidly running out of training data. And even if a website really, really doesn’t want their content to be scraped, AI companies do it anyway.

We could be fatalists about this. We could resign ourselves to Lit Hub’s work being stolen by AI boosters until the bubble bursts and they crash some or all of the stock market. And it’s true we probably can’t stop anyone from stealing our articles without our consent; that doesn’t mean we need to make it easy.....

....MUCH MORE

Anthropic Inks $10 Billion Computing Deal With New Cloud Startup In Norway

From Bloomberg, August 4:

Anthropic PBC has struck a $10 billion deal for computing capacity from a months-old infrastructure startup, according to people familiar with the matter, marking the Claude maker’s latest effort to keep pace with demand for its products.

The AI developer has signed a contract to use a data center managed by Nvidia Corp.-backed cloud startup Volta Infra Holdings Ltd., said the people, who requested anonymity as the deal is not public.

Volta said earlier Tuesday that it had secured a $10 billion deal with an unnamed AI lab to be delivered in partnership with Bitdeer Technologies Group, a Bitcoin miner that operates data centers, using a site in Norway. The agreement runs for six years, it said.

Volta Chief Executive Officer Ricard Boada declined to name the client. Representatives for Anthropic and Bitdeer declined to comment.

Anthropic has moved aggressively in recent months to shore up its computing resources as more businesses and consumers turn to its tools to streamline coding and other tasks. It has inked computing agreements with Elon Musk’s SpaceX, Advanced Micro Devices Inc. and Akamai Technologies Inc. The AI developer is also in discussions to lease computing power from Meta Platforms Inc.’s data centers, Bloomberg News has reported.

Anthropic raised $65 billion in a funding round earlier this year to help cover the immense cost of AI development. It’s also considering tapping the public markets for capital with a Wall Street debut as soon as this year.

The data center site in Norway offers 133 megawatts of capacity and will be stocked with Nvidia’s newest Vera Rubin chips, Volta said.

Founded in January by former executives from Brookfield Asset Management Ltd, Volta leases AI capacity and helps clients finance deals for costly chips. The startup announced Tuesday that it raised $300 million in venture funding, valuing it at $2.4 billion.... 

....MUCH MORE 

"‘I’d Be Petrified’: Steve Eisman Says Cheap Chinese AI Models Could Wreck OpenAI and Anthropic’s Valuations"

From 24/7 Wall Street, August 4:

“Big Short” investor Steve Eisman said on his own show, Real Eisman Playbook, that “If I was the head of Anthropic or OpenAI, I’d be petrified. That spells to me price war.” The comment lands at an inconvenient moment: both labs have filed confidentially with the SEC and are aiming at public listings near $1 trillion. Eisman literally said “price war.” The valuation-collapse framing in our headline is our inference layered on that quote, since a $1 trillion IPO story assumes pricing power a price war would erode. 

The Moonshot Threat: Kimi K3 and Open Weights 

Eisman’s specific concern is Moonshot AI’s Kimi K3, which he says charges $3 per million input tokens versus $5 for OpenAI’s GPT-5.6 Sol and $10 for Anthropic’s Claude Fable 5. Pricing is only half the story. Moonshot released Kimi K3’s full model weights, so developers can run and customize it independently rather than staying locked to Moonshot’s platform. That undercuts the “stickiness” closed-model economics depend on. If an enterprise buyer can host a comparable model on its own GPUs at a fraction of frontier API pricing, the switching cost justifying premium subscription economics thins every quarter. Eisman made the argument while challenging tech bulls Dan Ives and D.A. Davidson’s Gil Luria on AI moats.

The IPO Stakes

Anthropic filed confidentially with the SEC on June 1, 2026, with OpenAI following shortly after (reporting varies, around early June); both filings remain confidential rather than public S-1s. Anthropic is targeting an October 2026 NASDAQ listing off a $965 billion private valuation, potentially the first company to debut publicly at $1 trillion+. OpenAI has reportedly wavered toward a 2027 listing amid market volatility, with CEO Sam Altman said to have a “hard floor” of a $1 trillion listing price. As of Eisman’s July 29 broadcast, Polymarket traders priced Anthropic’s odds of going public by year-end at ~69%, versus just 19% for OpenAI. Public investors will price the moat directly, which makes Eisman’s price-war framing pointed rather than academic.

China’s Price War Is Already Underway: Baidu

On Bloomberg’s The Asia Trade on August 3, 2026, Bloomberg Intelligence analyst Robert Lee argued the commoditization Eisman fears is already playing out in China. “There’s a high level of commoditization in the AI sector. The sector is overpopulated, flooded with supply. At last count there were 988 large language models officially approved by China,” Lee said. He drew a parallel to solar’s collapse: an oversupplied market where price-cutting is the only lever left. DeepSeek cut API pricing by as much as 50%, and Baidu (NASDAQ:BIDU | BIDU Price Prediction) cut API pricing by 99% earlier in 2026. Baidu’s own numbers show the model shift underneath the price war: AI Cloud Infra revenue rose 79% YoY while Online Marketing Services fell 22% YoY. Lee named Alibaba (NYSE:BABA), Tencent, and Huawei as the best-capitalized survivors. Alibaba backs that up with a Cloud Intelligence Group accelerating 40% externally and Qwen’s open-source family surpassing 1 billion cumulative Hugging Face downloads, per its Q4 FY26 6-K filing.

The Bull Rebuttal: Alphabet and Real Revenue...

....MUCH MORE 

Related:

"Apollo's Sløk: The market faces big risks if hyperscalers' AI profits get delayed"

Here's Apollo, July 9: 

A Slower AI Payoff Would Be Everyone's Problem

This point is key (bolding in original):  

If Chinese models keep gaining and token prices keep falling, the hyperscaler cash flows expected may prove too optimistic.

If interested see also July 7's ""Frontiers of compute: The technologies to reduce AI inference costs"—McKinsey

The cost of inference has dropped by over 99.5% in the last three or four years while the price to the end user definitely has not fallen by that much and in fact all-in costs have actually risen. That gap is the opportunity China is focused on.

More VentureBeat On DeepSeek: "DeepSeek R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost"

 AI: "A brief history of Sam Altman’s hype" (MIT Technology Review's Hype Correction series)

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

 SoftBank Stock Plunges On Possible OpenAI IPO Delay (9984:Tokyo)

 Not Good - "Nvidia in Talks With OpenAI to Guarantee $250 Billion Financing for Data Center"

SemiAnalysis On Moonshot AI's Kimi K3: Probably Good For Nvidia and HBM; Not So Much For Open AI