Tuesday, July 7, 2026

What Fresh Hell Is This?*: "Why GE Vernova, Caterpillar Stocks Are Getting Crushed" (GEV; CAT)

*As noted in the outro from March 2020's "What Fresh Hell Is This? "Windows 10 could start bullying people into using a Microsoft account to install" (MSFT; EVIL)": 
When Dorothy Parker used the first half of the headline she meant it. See after the jump....

From Barron's, 2:24 pm EDT / Original July 07, 2026, 10:44 am EDT, July 7: 

GE Vernova GEV -8.82% and other power generation equipment stocks— Caterpillar CAT -5.31% and Cummins —were taking a hit Tuesday after a downgrade of a competitor. The size of the Vernova move, however, shows just how nervous investors are about the AI trade

In midday trading, shares of GE Vernova were off 9.9% at $1,038. Caterpillar and Cummins were both down—5.5% and 4.4%, respectively.

Cat announced it is acquiring mining services provider Skycatch, but that shouldn’t worry investors. And nothing of note is going on with Cummins. As for Vernova, there aren’t downgrades from Wall Steet analysts or updates from the company to blame for the drop.

The culprit is a downgrade of Siemens Energy, a German-based rival.

On Monday, Barclays downgraded Siemens Energy to Sell from Hold, according to FactSet. Barron’s hasn’t seen a copy of the report yet. The firm’s price target went up to €130 from €110.

The downgrade sent Siemens Energy down 7.7% in overseas trading.

A downgrade with the share price moving up tells investors what has been going on.

Despite the dip, Siemens Energy is up 31% this year and 66% over the past 12 months. GE Vernova is up 58% this year and 95% over the past 12 months.

Gains have left GE Vernova and Siemens Energy trading for about 40 and 28 times earnings expected over the coming 12 months, respectively.....

....MUCH MORE 

It's on days like this that knowing the business underlying the stock is booking sales and earnings and cash flow is so important as a brake on emotional mayhem.

And Dorothy? 

...When Dorothy Parker used the line I purloined as our intro, she...was...not...kidding.
From Quote Investigator:
...the testimony of journalist Vincent Sheean who was Parker’s friend: 1
“When it came time to leave the apartment to get a taxi, you could see this look of resolution come on her face,” he said. “Her chin would go up and her shoulders would go back; she would almost be fighting back fear and tears, as if to say to the world, ‘Do your worst; I’ll make it home all right.’ If the doorbell rang in her apartment, she would say, ‘What fresh hell can this be?’—and it wasn’t funny; she meant it.
Quote Investigator has earlier uses by other people but the Parker is the one I knew of.
Additionally, Quora has a finance angle in one of their usages:
Of note, the quote “What fresh hell is this” is used in Vanity Fair, Volumes 43-45, Issue 6, page 41 - Condé Nast, 1935, article.

“And so the doctor groaned and cursed as he awoke to the persistent ringing of the telephone beside his bed. He looked at his watch and noted that it was three a. m., before he picked up the receiver. "What fresh hell is this, George?" said Dr. Bonnard to the night clerk. "Can't tell you, Doc. Old man in 607 says he must have a doctor right away. Name is Fred Warren and he comes from Stapleton, Staten Island." "Some fat Yankee stock broker who thinks that fifteen-mile wind outside his window is another hurricane ...”

Fat Yankee stockbrokers via Google books.
Ms Parker's first husband, Edward Pond Parker II was a stockbroker.
Her first published poem was in Vanity Fair
On the day of her birth there were four active hurricanes in the Atlantic including the 1893 New York Hurricane which was skimming the New Jersey coast as she was being born on Ocean Avenue, Long Branch NJ. 
Weird.
 
Also at the New York Post: 

Again, that was written in March 2020. Remember March 2020? 

There, I don't feel quite as crabby about the Teutonic bastards at Siemens Energy. 

"China's DeepSeek Developing Its Own AI Chip, Sources Say"

A Reuters exclusive via US News & World Report, July 7:

Chinese startup DeepSeek is developing its own AI chip, according to three people familiar ⁠with ⁠the matter, a push that could reduce its reliance ⁠on Nvidia and Huawei chips, which it has depended on to train and run its globally popular models.

The chip is designed ​for inference — the stage of AI computing in which a trained model generates responses for users — rather than for training new models, the sources said.

If successful, DeepSeek's expansion into semiconductor development would mark ‌a major strategic shift for a company widely hailed ‌in China as the country's AI champion, potentially adding to challenges faced by Chinese tech giant Huawei.

DeepSeek rose to global fame more than a year ago after releasing two highly efficient AI ⁠models that went viral ⁠worldwide, surprising many in Silicon Valley and Washington.

The company has long been known for emphasizing AI model breakthroughs ​rather than commercializing its technology.

Although Huawei's offerings still lag Nvidia's most advanced chips by a wide margin, a U.S. ban on their exports to China has helped Huawei gain around half of the $50 billion domestic AI chip market, supplying DeepSeek and several other leading industry players.

However, Huawei's hold on the market is already weakening as tech rivals Alibaba and Baidu develop their own AI chips and gain market share.

DeepSeek's ​effort to join that race remains at an early stage, with the company reaching out to external partners and holding discussions with chip-design, foundry and memory companies, ⁠the ⁠three sources said. The effort began about ⁠a year ago, one of the people ​said.

The Hangzhou-based company has also increased hiring of chip-design engineers in recent months, but recruitment has been done privately without job postings on public hiring ​platforms, two of the sources said.

All three people declined ⁠to be identified because the information is not public. Despite becoming a standard-bearer of China's AI ambitions, DeepSeek has kept a low profile. The company did not respond to a request for comment.

FOLLOWING GLOBAL TRENDS....

....MUCH MORE 

Also at Reuters, July 7: 

Beijing is looking at curbing overseas access to China's top AI models, sources say 

Earlier today:

"Frontiers of compute: The technologies to reduce AI inference costs"—McKinsey 

Capital Markets: "Struck Qatari Ship Underpins Oil and Gas Prices, While Strong Samsung Earnings Fail to Stem Chip and AI Profit-Taking"

From Marc to Market:

The fragility of the ceasefire in the Middle East was driven home today by the strike on a Qatari LNG ship in the Strait of Hormuz today. Oil and gas prices are higher. Samsung earnings failed to deter profit-taking, which weighed on chip and AI equity names. Still, the South Korean wan jumped 1% to a two-week high as SK Hynix prepares to sell American depository receipts (~$28 bln). The company has said it intends to repatriate some of the funds raised. Japan’s 30-year bond auction drew the highest demand in seven years, though yields recovered from the initial decline. Hong Kong launched a gold clearing and settlement facility today. 

The US dollar is firmer against the G10 currencies but the Japanese yen. It is straddling the JPY162 level in the European morning, where options for $2.2 bln expire later today. Germany reported a 0.9% rise in May industrial output, which was well above expectations and matches the largest increase since March 2025. Still the euro is trading quietly lower. The NATO conference in Türkiye will attract attention. Meanwhile, the market awaits word from the French court whether Le Pen can run in next year's presidential contest. And the $119 bln coupon auctions this week by the US Treasury kick-off with the $58 bln sale of three-year notes today....

....MUCH MORE  

"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 gsp is the opportunity China is focused on.

From McKinsey & Company, June 25:

AI’s next breakthrough may not be a smarter model but a cheaper token

The race to establish infrastructure for AI is driving one of the most significant capital mobilizations in history. In 2026, the four leading hyperscalers—Amazon, Google, Meta, and Microsoft—are collectively committing over $700 billion in combined capital expenditure, with a substantial majority directed at AI infrastructure. This figure would have been difficult to contemplate just three years ago. The investments span data center construction, accelerator procurement, and networking buildout on a massive scale, underscoring how compute has become a strategic asset. The new infrastructure is creating extraordinary and sustained demand across the entire semiconductor value chain for chips and other components that enable AI processes.

Two of the most important AI processes are training and inference. Training—either one-time or periodic—is the computationally intensive process of building a model by exposing it to large data sets. Inference is the ongoing process of running a trained model to respond to user queries. A single large language model (LLM),1 once trained, can be queried billions of times per day. The cost of each query is typically small, but it compounds at scale. Historically, training has accounted for most AI compute spending, but the balance is now shifting toward inference.

This dynamic has brought a once-theoretical question to the forefront: How can AI inference be made economically sustainable at the scale demanded by enterprise and consumer applications? Furthermore, how can the energy demand of AI computing be met or reduced? These questions underscore the significant pressures affecting the supply side of the AI economics equation and contributing to spiking AI costs.

Given the magnitude of efficiency gains required, no single breakthrough is likely to deliver the step change needed to achieve positive margins while maintaining frontier-model performance. Instead, meaningful progress will depend on a coordinated wave of innovation across the entire supply chain—from software-level model optimization to advances in silicon architecture, advanced packaging, memory systems, and optical interconnects.

We evaluated 13 of the most promising technology levers related to AI computing and evaluated their potential to reduce inference costs at scale. We also examined two other factors—architecture evolution and chip development timelines—that may affect how quickly and thoroughly companies can reduce inference costs, as well as new compute paradigms that might become an option in 2030 or later.

AI infrastructure is changing fast. In this article, we highlight the technologies most likely to shape AI inference economics and the implications for technologists, investors, and business leaders along the entire supply chain. The discussion that follows is necessarily technical at times because many of the biggest cost-reduction opportunities will come from trade-offs deep within the compute stack....

....MUCH MORE 

If for no other reason than to avoid reinventing the wheel, the challenge of thriving in a deflationary environment means someone (yours truly) might have to dust off the economic history books for the period 1873 to 1913 to see how those folks did it.

"Woman suspected in Monaco bombing found shot dead near Kyiv, report says "

From Reuters via Global Banking & Finance Review, July 7: 

Ukrainian Woman, Monaco Bombing Suspect, Found Dead Near Kyiv — Report
Details Emerge in High-Profile Bombing Case
Discovery of the Suspect's Body 

July 7 (Reuters) - The body of a Ukrainian woman suspected of carrying out a bomb attack that targeted a wealthy Ukrainian-born businessman in Monaco last week was found near Ukraine's capital Kyiv, Ukrainska Pravda reported on Tuesday.

Citing sources in law enforcement, the Ukrainian news outlet said the woman had been shot and her body was found close to 11 p.m. local time (2000 GMT) on Monday....

....MUCH MORE 

Norway's Coastal Highway: "Inside the world’s [new] deepest and longest subsea road tunnel"

From MIT's Technology Review, June 22:

Norway’s Rogfast is an exceptional engineering feat, opening a route for drivers deep below the North Sea. We went down to see it. 

It’s cold, it’s very, very noisy, and—if I can be quite honest with you—I’m not feeling super relaxed.

I’m currently around 300 meters, or 1,000 feet, beneath the North Sea, in a dark, dank cave. It smells weird. And I am increasingly aware of the pressure from millions of tons of seawater just above my head, pushing down with a force of more than 500 pounds per square inch. Picture a baby rhino standing on a postage stamp. 

Only fabulous engineering is keeping me from being crushed, drowned, disappeared. My safety goggles are foggy.

Just a few hundred meters away, someone is about to blow up a giant rock wall. Luckily, earlier that day I was given a full safety briefing, and I’ve got a special hard hat on. “Don’t worry—if you don’t make it, we’ll have your stuff sent back to your office,” geologist Anne-Merete Gilje tells me, straight-faced. Ah, Norwegian humor.

“It’s kind of a lifestyle. You have to be a little bit crazy to work underground all the time.” —Niclas Brusehed, tunnel foreman, Implenia

I’m in this odd situation under the iconic fjords of Norway to visit what will soon become the world’s longest and deepest subsea road tunnel, called Rogfast (short for “Rogaland Fixed Link”). I want to understand how you make something as audacious as a 26.7-kilometer (16.6-mile) highway that sits 390 meters (1,280 feet) below the sea at its deepest point. And also—at a time when it can feel hard to get anything done, especially in the US—to reassure myself that ambitious engineering is still possible. That we can still make things. 

The Norwegians already have the world’s longest subsea tunnel, the 14.4-kilometer Ryfylke, though Rogfast will dwarf it. Their expertise has attracted attention from Japan, Spain, Morocco, and even a number of US states, whose representatives were due to visit the site in May, just weeks after I went. They, too, want to know how Norway does it. 

The answer: tons of explosives. 

The entire endeavor feels like an obstinate refusal to give in to physics and geology. “It’s always exciting,” Niclas Brusehed, a tunnel foreman at Implenia, a Swiss firm involved in the project, tells me. “Every blast creates a new world.” There’s not just the blasting of the tunnel itself—although that is an epic project on its own—but an immense logistics challenge involving huge ventilation shafts, extreme pressure, underground roundabouts, and the complex Norwegian geology. Oh, and the water. So much water.  

“This is the longest continuous blast on the sea,” says John Olaf Østerhus, assistant project manager at Implenia. “Never been done before. We can’t buy a book to see how we do this.” 

All right, time to fish my phone out of my safety suit—don’t want to forget this.

On another planet 
Arriving at the rock face where the tunnel hits seabed feels like being on the moon. It’s a huge slab of stone at the end of a long, dark, wet, wide passageway that’s lit (barely) by electric lights. Giant vehicles carting tons of rocks rumble past periodically, and we pull to the side of the road to let them by....

....MUCH MORE 

Previously:

September 2, 2018 (via the internet archive, the picture links have rotted):

Infrastructure: "Norway’s $47 Billion Coastal Highway"

From The B1M:
[This article was originally published on 22 August 2018. References were corrected on 31 August 2018]
NORWAY'S western coast is home to some of the most dramatic landscapes on earth.
Carved by glaciers throughout the ages, some of these fjords stretch for 200 kilometres inland and are over a kilometre deep.

The current convoluted travel route through and around this terrain takes you along Norway’s 1,100 kilometre, 683 mile, E39 highway - a road with a total journey time of 21 hours.

Now, the Norwegian government are working to improve access to services and residential and labour markets across the country’s western regions by embarking on the largest infrastructure project in the nation’s history.

The E39 runs between, Kristiansand in the far south of the country and Trondheim in the north. The route navigates its way across the fjord network and features no fewer than seven ferry crossings.
Above: Norway is proposing to remove all ferry crossings on the E39 highway in order to better connect the region
The new coastal highway project aims to eliminate the need for ferry services altogether by building a series of bridges and tunnels across, through and under the landscape.

With many of the fjords along the route being too wide or too deep for conventional infrastructure to cross, innovative new solutions are being investigated by the Norwegian Public Roads Administration.

Rogfast is the first in a series of crossings that will link the E39, connecting Stavanger and Haugesund via a 27 kilometre, 16 mile under sea tunnel.
Above: Rogfast will be the longest undersea road tunnel in the world
(image courtesy of the Norwegian Public Road Administration, Norconsult A/S and Baezeni Co., Ltd). 
This structure will reach depths of up to 390 metres below sea level, making it the deepest as well as the longest undersea road tunnel in the world.

The Rogfast project will in fact consist of two tunnels connected every 250 metres with emergency exits. Each tunnel will have a lay-by at 500 metre intervals, along with telephone and surveillance cameras along the route.

The tunnel will also feature a mid-route intersection with the island municipality of Kvitsøy creating an undersea tunnel junction and connecting the island with the Norwegian mainland.
Above: An undersea junction will connect the island of Kvitsøy to the mainland for for the first time (image courtesy of the Norwegian Public Roads Administration, Norconsult A/S and Baezeni Co., Ltd). 
With work begun in 2018, this element of the project is set to be completed by 2026 at a cost of USD $2BN.
While the Rogfast works are already underway, the scale of some other fjords is presenting the project team with extreme engineering challenges.
Bjornafjord - located to the south of Bergen - stands 5 kilometres wide, and reaches depths of 600 metres.
Above: A floating bridge has been proposed to cross the Bjornafjord 
(image courtesy of the Norwegian Public Roads Administration, Vianova PT A/S and Baezeni Co., Ltd)
To cross this challenging stretch of water, a proposal has been put forward for a floating bridge, anchored to the shore at both ends.

The Sulafjord crossing has seen two possible solutions put forward.
The first is for a three tower suspension bridge, with two of the bridges’ towers anchored on land and the third central tower anchored to the seafloor, some 400 metres below the water line.
Above and Below: The Sulafjord could be crossed by a three tower suspension bridge or by a floating tunnel tethered to the seafloor
 ( images courtesy of the Norwegian Public Roads Administration, Vianova PT A/S and Baezeni Co., Ltd)
An alternative proposal for a “submerged floating tunnel” would see two interconnected tubes running side by side tethered to the seabed using high strength cables.

Crossing the Romsdalsfjord will require a 16 kilometre undersea tunnel, much like the Rogfast project, from Alesund to Midsund - followed by a 2 kilometre suspension bridge connecting onto Molde....MUCH MORE

Monday, July 6, 2026

A Deeper Dive Into Samsung's Operating Profit Forecast

The number, $58.7B USD converted  is larger than either Nvidia's or Apple's making it the world's largest tech co. quarterly operating profit.

From Reuters, July 6:

Samsung flags 19-fold jump in profit, but shares slump on jitters AI boom may stall 

  • Samsung posts third straight record quarterly operating profit, beating estimates
  • AI demand continues to drive higher DRAM and NAND prices
  • Earnings top expectations despite hefty chip worker bonus provisions, analysts say
  • Shares fall as much as 7.9% following steep rise this year
  • Samsung Electronics (005930.KS) on Tuesday flagged a 19-fold jump ​in second-quarter operating profit from a year earlier, surpassing its combined earnings over the past three years, but its shares slid as the results failed ‌to ease concerns about the durability of the AI-driven chip boom.

    The world's largest memory chipmaker estimated April-June operating profit at 89.4 trillion won ($58.44 billion), beating an LSEG SmartEstimate of 87.3 trillion won, according to a regulatory filing. It reported a profit of 4.7 trillion won a year earlier. Revenue would likely rise 129% to 171 trillion won from a year earlier, it said. 

    Samsung shares nevertheless dropped as much as 7.9% ​in morning trade, while rival SK Hynix's shares fell as much as 7.3%, dragging the benchmark KOSPI (.KS11) down 6%. 

    Analysts attributed the stock's weakness to some lofty market ​expectations that profit, spurred by record memory chip prices, could exceed 90 trillion won even after factoring in provisions for staff bonuses, and ⁠worries that the rollout of AI data centres may stall. 

    "Samsung's strong earnings were widely expected and had largely been priced in after its shares rallied ahead of the results," ​said Albert Yong, a managing partner at Petra Capital Management who owns Samsung stock.
    "Investors remain concerned about the sustainability of the AI boom and the risk of slower AI infrastructure spending ​by major U.S. technology firms."

    Memory chip prices continued to climb during the quarter as AI spending broadened beyond high-bandwidth memory (HBM) into conventional DRAM and NAND products. 
    Samsung's profit surged even as it set aside funds for sizeable bonuses to its semiconductor workers, as agreed in a wage deal in May linking their pay to operating profit. 
    "Samsung posted better-than-expected earnings despite bonus-related provisions, as memory prices rose sharply," said Lee Min-hee, an analyst ​at BNK Investment & Securities.
    Without those provisions, its operating profit would likely have exceeded 100 trillion won, analysts said. 
    Jeff Kim, head of research at Seoul-based KB Securities-Jefferies, said the memory ​chip shortage will deepen this year and next year, as capacity growth would be limited while demand would remain strong. 
    "Samsung’s profit will continue to grow sequentially in the third quarter and fourth quarter. The ‌key is ⁠how sharply they will grow," he said. 
    Analysts said rapid growth in HBM production has tightened supply of conventional memory products used in smartphones, PCs and enterprise servers, further supporting prices. 
    Citi Research last week said average selling prices for DRAM and NAND rose 44% and 53% quarter-on-quarter, respectively, in the second quarter....
    ....MUCH MORE 

    Memory: "Samsung Electronics sees record preliminary 2Q profit but shares fall" (005930.krx)

    The stock is down 27,000 won (-8.48%).

     

    TradingView 

    It's had a good year though, up 366% over the twelve months. 

    From CNBC, July 6:

    Samsung Electronics on Tuesday reported preliminary second-quarter operating profit of 89.4 trillion won ($58.4 billion), versus 57.2 trillion won in the prior period.

    Operating profit from the same period a year earlier was 4.7 trillion won.

    Samsung shares traded nearly 5% lower at Tuesday’s open.

    The tech giant reported revenue for the April-to-June period of 171 trillion won, up from 133.9 trillion won in the previous quarter.

    The results include deducted one-off expenses for employee bonus provisions following recent labor negotiations, according to analysts....

    ....MORE 

    Thunder Out Of Korea: Samsung Will Be Releasing Their Preliminary Earnings Estimates

    From Reuters, July 5/6:

    Samsung likely to post 18-fold jump in profit on surging AI demand for memory 

    • Q2 profit seen hitting third straight record high
    • Memory shortage expected to persist into next year
    • Workers' bonuses could come in higher than expected, analysts say
    • Potential AI infrastructure delays pose biggest risk, analysts say
    • Rising memory prices squeeze mobile business margin 

    Samsung Electronics (005930.KS), is likely to estimate that its operating profit jumped about 18-fold ​to another record high from a year earlier in the second quarter, as AI growth continues to strain memory supply and push chip prices ‌higher.

    On Tuesday, the world's largest memory chipmaker by sales is likely to flag an operating profit of 86 trillion won ($56.35 billion) for the April to June quarter, according to an LSEG SmartEstimate based on forecasts from 30 analysts, weighted toward those with the best track records. 

    Up from 4.7 trillion won a year earlier, this would mark a third consecutive quarter of record operating profit for ​Samsung, reflecting a prolonged memory shortage, as booming demand for AI inference infrastructure continues to outpace supply growth from global memory manufacturers.
     
    Analysts expect the memory ​market to remain undersupplied at least through next year.
    The robust growth has been driven not only by high-bandwidth memory (HBM), but also by ⁠stronger demand for conventional DRAM and NAND products as AI applications, particularly agentic AI, expand into a broader range of computing workloads.
     
    Unlike earlier AI applications focused mainly ​on training large models, agentic AI systems perform more complex, multi-step tasks that require additional memory for server processors and greater storage capacity to retain and retrieve data during ​inference, analysts said....
    ....MUCH MORE 

    What on Earth Is OpenAI Doing? (Sam)

    Two from The Guardian. First up, the background, April 9:

    OpenAI shelves Stargate UK in blow to Britain’s AI ambitions 
    Artificial intelligence company cites high energy costs and regulation for putting landmark project on hold

    OpenAI has put on hold plans for a landmark UK investment citing high energy costs and regulation, in a blow to the government which has put AI at the centre of its growth strategy.

    Stargate UK was a part of the UK-US AI deal announced last September, in which US companies appeared to commit £31bn to the UK’s tech sector, part of a larger series of investments intended to “mainline AI” into the British economy....

    ....MUCH MORE 

    After the Guardian did some digging it now appears that OpenAI never intended to build the data center.

    July 4:

    OpenAI’s apparent failure to visit key site raises questions over UK investment
    Exclusive: £20bn of ‘potential’ £30bn AI investment touted by UK ministers appears to have been hypothetical 

    It was to be the biggest undertaking in Britain for OpenAI, the company behind ChatGPT. Stargate UK – a multibillion-pound UK datacentre project – would represent “a major step forward in the US-UK technology partnership”.

    But the plans were paused in April, with an OpenAI spokesperson citing concerns over regulation and high energy costs.

    Now the Guardian can reveal that OpenAI does not appear to have visited one of Stargate UK’s key sites – and that £20bn of the “potential” £30bn in investment touted by the UK government appears to have been totally hypothetical.

    The findings raise questions about one of the most-hyped UK AI developments, and suggest a centrepiece of US-UK AI cooperation was in fact little more than a press release....

    ....MUCH MORE 

    As readers who have been with us for a while already know (and are probably getting tired of hearing) I'm more than a bit concerned by the actions of OpenAI and their enabler. SoftBank. 

    We may have to institute a portfolio rule forbidding companies whose names are spelled in CamelCase
    [or more specifically in coding, PascalCase]

    A previous example: "WeWork Thinks The Unthinkable: Changes in Governance Structure (WEE)

    See also: CreditWatch.

    AI: A Troubling Trend Emerges

    “Mr Bond, they have a saying in Chicago: 'Once is happenstance.
    Twice is coincidence. The third time it's enemy action'.”

    —Auric Goldfinger, Goldfinger

    First up, the New York Times, June 5:

    SpaceX Has $30 Billion Deal to Provide Google With A.I. Computing Power
    Elon Musk’s rocket company said Google would pay it $920 million a month, as it prepared for its initial public offering. 

    And from The Register, July 2:

    SoftBank enters the rent-a-GPU race as America looks for support for AI training
    Japanese giant needs to find some use for that 10 GW US server farm it is building 

    SoftBank is set to get into the neocloud business in America, providing resources to hyperscalers and other customers seeking a platform on which to carry out their AI training.

    The Japan-based tech investment giant says it will establish a new company called SB Neo, Inc to operate its neocloud business in the US, and expects to start operations in fiscal 2027 (ending March 31, 2028).

    In actual fact, ownership of the nascent biz will be split, with 51 percent in the hands of SoftBank Corp, while 49 percent is owned by SoftBank Group Corp. SB Neo will be a consolidated subsidiary of SoftBank Corp, which is itself 40 percent owned by SoftBank Group Corp. All perfectly clear?

    And from SemiAnalysis, also July 2:

    Meta Compute: Everyone Wants To Be A Neocloud

    ....With Bloomberg headlines suggesting Meta could become a Neocloud, the market’s reaction was immediate: aggressive sell-off of Neoclouds like Coreweave & Nebius, and debates of “overcapacity” coming back. Let’s set the record straight – we believe that both takes are erroneous and that Meta’s datacenter & compute procurement will accelerate, not slow down. Capex in 2027 will be shockingly high. In just the first six months of the year, Meta has contracted over 5GW of capacity across Cloud & Colo, and that doesn’t even include all their accelerating self-build activity. Everything is computer and everything is a neocloud....

    I don't like disagreeing with SemiAnalysis so I'll just say this move among big, big companies to lease out giant chunks of their compute, and axiomatically taking the leases onto their balance sheets as an asset is enough to drive me back to Graham & Dodd, and in the case of SoftBank to Howard Schilit's Financial Shenanigans: How to Detect Accounting Gimmicks & Fraud in Financial Reports.

    As we await developments a flashback to June 2019:

    "Something is not quite right with SoftBank"
    Additionally, SoftBank investee WeWork was out looking for  a few billion dollar line of credit.
    Shades of another disruptor, Sam Insull, leverage at the holding company level, leverage at the operating company level, leverage all the way down...
    Sam Insull's story is interesting and possibly instructive. He was a Chicago guy.

    Capital Markets: "Yen Remains Under Pressure"

    From Marc Chandler at Bannockburn Global Forex:

    The dollar begins the new week on a firm note despite the disappointing employment report last week, but except against the yen, it remains within recent ranges. Japanese official rhetoric has not increased and the sell-off in JGBs seemed to add to the weight on the yen. The dollar rose to JPY162.40, a yen higher than it settled before the weekend. The yen is off about 0.6% late in the European morning. Of the G10 currencies, the New Zealand dollar is off almost as much even though its central bank is likely to hike is key rate in the middle of the week. 

    OPEC+ agreed to boost output and oil prices are a little softer. Yet, the Norwegian krone is only G10 currency that is not falling against the US dollar today. French budget problems saw its 10-year premium over Germany widen to nine-month highs last week (~80 bp) but is flat today. ECB President Lagarde apparently is mulling re-entering French politics, where the National Front candidates are running ahead on the pols for next year’s contest. After the US jobs data last week, the Fed funds futures are now pricing in a Fed hike at end of the year rather than in October..... 

    ....MUCH MORE

    Memory: South Korea's SK Hynix launching $28 billion US listing Monday, July 6

    From Reuters via Channel News Asia, July 6:

    South Korean chipmaker SK Hynix will launch a U.S. listing on Monday to raise about $28 billion, according to regulatory filings, as it capitalises on the global artificial intelligence boom with one of the world's largest new share sales.

    The company will sell 17.79 million new shares in the depository receipt listing on the Nasdaq. Ten ADRs will represent one common share and the stock will be sold in a price range that is due to be revealed on Monday, based on SK Hynix's Seoul trading price.

    SK Hynix's share price was down 4 per cent at 2,327,000 won each on Monday, but the stock is up about 273 per cent this year, as it rides surging global investor demand for AI stocks. Korea's KOSPI was down 2.2 per cent on Monday.

    Memory chip stocks were volatile in recent sessions due in part to renewed investor concerns about how long the boom would last. 

    "While market volatility has been quite high recently, I would expect demand for SK Hynix shares to remain relatively robust," said Albert Yong, a managing partner at Petra Capital Management.

    South Korea last week unveiled a sweeping industrial strategy centred on semiconductors and AI, including a $576 billion chip investment program in the country's southwest to help spread returns from the boom.

    SK Hynix and Samsung Electronics will anchor the investment program, the government said.

    South Korean President Lee Jae Myung on Monday ordered officials to move quickly to get to work on major chip and AI projects announced last week.

    He warned that delays in permits, land acquisition, and securing power and water supply could undermine the country's bid to dominate advanced industries.

    MEMORY INFLATION

    SK Hynix has been among the world's largest beneficiaries of the AI boom as it outperformed its major rivals Samsung and Micron.

    "This is more than a liquidity event," said Dave Mazza, the chief executive officer of Roundhill Investments in New York, which manages an exchange-traded fund tracking DRAM manufacturers, which is one of the most popular ways for U.S. investors to trade SK Hynix's stock. "SK Hynix has been one of the most important companies in the world that most U.S. institutions could not easily own."....

    ....MUCH MORE 

    "Siemens Energy lands Oman gas turbine power plant deals" (ENR.xetra)

    From the Dutch homies at Enlit, July 1:

    Siemens Energy will supply six F-class gas turbines, six generators and service agreements for two combined-cycle power plants in Oman.

    Siemens Energy has signed an agreement to supply six F-class gas turbines, six generators and 20-year long-term service agreements for two combined-cycle power plants in Oman.

    The Misfah and Duqm projects will increase the country’s electricity capacity by 2.6GW, with Nama Power and Water Procurement Company serving as the offtaker for the electricity generated.

    The projects are being developed by a consortium comprising Etihad Water and Electricity Company PJSC, Nebras Power Investment Management, Bahwan Infrastructure Services, and Korea Western Power.

    Doosan Enerbility, together with SEPCO-3, is responsible for the engineering, procurement and construction of the plants....

    ....MUCH MORE 

    Sunday, July 5, 2026

    "China’s PBOC keeps liquidity taps open with 7 billion yuan injection as new overnight repo tool reshapes money markets"

    It's not huge but for our purposes the direction is more important than the amount.

    From Crypto Briefing, July 5: 

    The People's Bank of China continues its steady drip of short-term funding at historic low rates while rolling out a brand new overnight facility that could ripple across risk assets.  

    The People’s Bank of China injected 7 billion yuan through 7-day reverse repurchase agreements at a rate of 1.40%, maintaining the benchmark short-term funding cost at its historic low.

    The real story isn’t today’s relatively small injection. It’s the PBOC’s debut of an entirely new overnight reverse repo facility on June 29, 2026, which launched with a 300 billion yuan injection at a rate of 1.25%. Alongside the overnight injection, the PBOC also conducted 157.5 billion yuan in standard 7-day reverse repos on June 29.

    The very next day, June 30, the central bank deployed that same overnight tool again, this time pumping 600 billion yuan into the system. That’s nearly a trillion yuan in overnight funding across just two days, at a rate 15 basis points below the standard 7-day facility.

    Overnight interbank repo transactions account for over 80% of turnover in China’s money markets, and the PBOC just gave itself a direct lever to influence that market segment....

    ....MUCH MORE 

    Previously on the reverse repo:

    June 28/29 - "People’s Bank of China injects $44B in debut overnight reverse repo"

    180 MPH Super Typhoon Bavi Appears Headed For Northern Taiwan (TSMC)

    TSMC is on the western side of the island and wouldn't suffer a direct hit but the whole northern end of Taiwan, including Taipei, is in the cone of uncertainty.

    From "Extreme" meteorologist Reed Timmer:

    AI: "Jeff Bezos Missed the LLM Boom. Now He Wants to Build an A.I. Engineer"

    From Observer, June 29: 

    With Prometheus, Jeff Bezos is trying to move A.I. beyond chatbots and into the far messier world of engineering, manufacturing and physical-world data. 

    Jeff Bezos may have missed the first wave of A.I., dominated by large language models. But with his startup Prometheus reaching a $41 billion valuation this month, he is betting on the frontier concept of physical A.I.—by building what he calls an “artificial general engineer” (AGE). 

    “This is an age-old dream, the idea that you might build a set of tools that can actually do engineering,” Bezos told CNBC earlier this month, adding that his team has been working on the concept since late 2024. Prometheus, officially founded in November 2025, is led by Bezos as co-CEO alongside Vikram Bajaj, a former director of Google X. 

     Details about the company remain scarce. Prometheus operates offices in London, Zurich and San Francisco and has a team of roughly 150 employees, according to Bezos. While he has claimed the startup is not being “secretive,” it has shared little publicly about its work. Observer reached out to multiple employees but did not receive a response....

    ....MUCH MORE 

    Also at Observer:

    Behind This $25K Electric Truck Is Jeff Bezos’ ‘Made in America’ Mission 

    Previously on BezosAI:

    June 14 - "Is Jeff Bezos’ New Startup An Even Bigger Idea than Amazon? He Tells CNBC it Will Drive ‘Civilizational Wealth.’" 

    June 11 - "Bezos’ AI startup Prometheus raises $12B at $41B valuation, and the CEOs explain what they’re doing"

    November 17, 2025 - "Jeff Bezos Creates A.I. Start-Up Where He Will Be Co-Chief Executive" 

    March 19, 2026 - "Jeff Bezos aims to raise $100 billion to buy, revamp manufacturing firms with AI, WSJ reports"
    The Journal says the big money is in the Middle East and Singapore. It reads as though the new venture is separate from Project Prometheus.

    April 8 - "Jeff Bezos Is Quietly Building an A.I. Dream Team at Project Prometheus"

    World Economic Forum Summer Davos: "Top 10 Emerging Technologies of 2026"

    From The WEF, June 2026:

    Contents

    • Foreword 3
    • Technology, foresight and the desirable future ahead 4
    • 1 Everything-to-grid energy 5
    • 2 Direct lithium extraction 8
    • 3 Passive radiative cooling materials 11
    • 4 PFAS destruction 14
    • 5 Precision fermentation 17
    • 6 Exosome drug delivery 20
    • 7 Personalized mRNA cancer vaccines 23
    • 8 Quantum simulation for drug discovery 26
    • 9 World models 29
    • 10 Lattice-based cryptography 32
    • The emerging landscape 35
    • Appendix: Methodology 37
    • Contributors 40
    • Endnotes 44 

    ....MUCH MORE (49 page PDF) 

    Saturday, July 4, 2026

    Family Fireworks

    Somewhere in Nebraska, U.S.A., 2022: 

    'Murica

    Guns N' Roses’ Sweet Child O' Mine 

    The U.S. Air Force Academy Band at Mt. Rushmore, July 3, 2026 

    "Deaths of John Adams and Thomas Jefferson on July 4th"

     From the Library of Congress blog:

    The deaths of former U.S. Presidents Thomas Jefferson and John Adams on July 4, 1826–the day of the Jubilee–the 50th anniversary of the adoption of the Declaration of Independence, was an extraordinary and eerie coincidence. Jefferson died shortly after noon at the age of 83 in Monticello, Virginia. Several hours later Adams died in Quincy, Massachusetts at the age of 90. Though the nation’s second and third presidents were friends at the time of their deaths, they had been politically estranged for eleven years after the presidential election of 1800. Jefferson, along with James Madison, formed the Democratic-Republican Party while Adams was a Federalist. Adams wrote a letter to Jefferson on January 1, 1812, the first of many that renewed their friendship that lasted until their deaths. The last letter Jefferson wrote to Adams was on March 23. The last letter written by Adams to Jefferson was dated April 17, 1826The news did not travel fast during this time and the former presidents were not aware of each other’s deaths. Newspapers printed in the days immediately following their deaths included letters from Adams, Jefferson, and other surviving signers of the Declaration of Independence declining their attendance at the July 4th Jubilee celebration in Washington....

    ....MUCH MORE  

    Happy Independence Day To Those Who Celebrate

    Happy Fourth of July to those who don't.

    The Parade of Tall Ships begins at 9:30 am EDT today.

    From CBS News, July 4: 

    Parade of Ships travels along NYC waterfront for Sail4th 250 celebration

    The biggest Fourth of July celebration in New York City history is underway, with part of it being the Sail4th 250 event.

    Forty ships from the United States and around the world are setting sail at 9:30 a.m. from the Verrazzano Bridge. They will make their way up the Hudson River to the George Washington Bridge. It's the largest parade of tall ships ever assembled.

    The festivities kicked off Friday afternoon when a group of Class B tall ships traveled down the East River from the Hell Gate Bridge to Gravesend, Brooklyn.

    ....MUCH MORE 

    NBC New York will be broadcasting the parade live:

    Follow along live as 48 tall ships from around the world head to New York Harbor for the U.S. 250th
     As well as Fox 5 New York:

    Live: Tall ships parade down NYC's East River 

    And CBS

    Here are the ships that will be participating: 

    https://sail4th.org/tall-ships

    e.g.

    https://d2u4nf47gqold8.cloudfront.net/http/italy.jpg/e747503173496b903368afba3563479e/italy.jpg 

    Italy
    AMERIGO Vespucci

    AMERIGO VESPUCCI is a 329-foot, full-rigged three-masted sail training vessel of the Italian Navy homeported in La Spezia, Italy. She carries 30,400 square feet of sail and has a standard complement of 16 officers, 70 NCOs, and 190 sailors (and 130 Naval Academy cadets in summer). Launched in 1931, she has been continuously active except during World War II. She made circumnavigations in 2002 and 2023 Named after the eponymous explorer, Amerigo Vespucci often takes part in sailing parades and tall ship races, where she is in amicable rivalry with Gorch Fock. 
    While sailing the Mediterranean in 1962, the aircraft carrier USS Independence flashed the Amerigo Vespucci with the light signal asking: "Who are you?" The response: "Training ship Amerigo Vespucci, Italian Navy." The Independence replied: "You are the most beautiful ship in the world." In 2022, the Amerigo Vespucci sailed by the American aircraft carrier USS George H. W. Bush, which saluted the ship and commented: "You are still, after 60 years, the most beautiful ship in the world."

    "Who Will Pay for Electricity Infrastructure Investments?"

    From American Affairs Journal, Volume X, Number 2 (Summer 2026):

    American public discourse has rather suddenly become electric. A confluence of factors in technology, policy, and economy has rendered energy availability and affordability a pressing debate. Several trends have pushed these issues to the fore. On one hand is the imperative of meeting growing energy demand at any cost, driven in part by the intriguing prospects of AI. Another strain of technologists wants to deploy new options for the electric system, promising sundry benefits. One example is the arrival of cost-effective batteries making electricity storage viable, which could potentially lead to less need for expensive but infrequently used generation capacity. Customers, especially residential ones, are deeply concerned about rising bills. Swings in policy undermine long-term investment incentives, with maximalist and divergent platforms pushed through by narrow margins. Adding to the boil is the prevailing insistence that all this and more must be done yesterday. Utilities and others who manage the electricity grid are caught in the crossfire, trying to determine how best to deliver a growing amount of reliable, affordable power.

    Through it all, the common thread underlying each element is the infrastructure—generators, wires, transformers, and other gear—that keep the lights on. Some advocate for their favorite kit or defame their most loathed competitor, while many commentators hardly understand the complicated machinery that comprises U.S. electric grids. Informed and careful thinking is needed because today’s decisions have profound and longevous effects. The deeper issue is simpler: while everyone agrees that an electricity buildout is needed, everybody thinks somebody else should pay for it.

    The main forcing factor is load growth. For nearly fifteen years, there was little aggregate growth in electricity demand, but now the intermission is over and expectations of growing demand have returned. To deliver that energy reliably, investments are needed across the system in generation, transmission, and distribution. The problem is sufficiently complex that a single solution, such as adding only generation or transmission, is not viable. The fragmented nature of the U.S. electric system complicates the problem. End users will ultimately pay for those investments, but many avenues are possible and cost-shifting is a key strategy for the interested parties.

    Contextualizing the American Energy Buildup

    Understanding how we got here is crucial for developing an appropriate strategy to address today’s challenge. The grid has been built and expanded over the course of many decades, matching the steady growth in demand. During the twentieth century, utilities could undertake ambitious, long-term projects and let customers grow into them. Public utility commissions signed off on these plans, rolling the cost of long-term investments into the rate base and charging customers to recover the outlays. Then, for over a decade, the aggregate growth stopped. After the Great Recession, aggregate electricity consumption in the United States hardly changed. Underlying shifts were not uniform, as some states never saw a stagnation in electricity consumption. Texas and Florida stand out as states that have seen and supported continually growing demand. More states, however, saw declines: California, Illinois, Kentucky, and Missouri foremost among them.

    The aggregate trend hides some important intensive changes. Since the Great Recession, manufacturing became more energy efficient, with output growing despite lower electricity use. That trend can continue as profit-maximizing manufacturers seek to make the most efficient use of costly energy inputs. Another part of the manufacturing story is a pivot by the sector toward relatively inexpensive and abundant natural gas. But these shifts have been made and are unlikely to continue. The portions of the manufacturing sector that were convertible have largely been accounted for, and those that remain have good reasons to resist further fuel shifting.

    In addition to manufacturing, there have been substantial efficiency gains in other areas. One notable area is in lighting. Switching illumination to more energy-efficient technologies like light-emitting diodes (LEDs) has led to substantial reductions in the amount of energy needed to provide the same level of illumination. Here, like the manufacturing shift to natural gas, the conversions have already been made, and one can expect few reductions in load growth from this quarter. These shifts underscore the one-off nature of the period of limited load growth that we experienced and are now realizing is over. While the above gains managed to offset the effects of population and economic growth, they will not reliably continue.

    Over this period with limited sales growth, it should come as no surprise that infrastructure investment has been weak. Two explanations are immediately obvious. The first is that if the system is providing a stable amount of final sales, there is little motivation to expand. The second is that infrastructure is ultimately paid for by ratepayers, whether directly by accumulated revenues or through financing dependent on collateral from future sales. If sales are constant, there is no scope to pay for expanding the system. Now, however, there is tremendous momentum to expand the system, hence the present energy friction.

    The current fear about energy infrastructure investment is that it will increase system costs. It most certainly will. Only the introduction of new, cheaper technologies can reduce the cost of provision. It is heroic to presume that expanding the system with currently available technologies is going to capture unrealized economies of scale and lower costs for all users; that prescription implies that our current system is massively inefficient. We will have to incur substantial costs; the challenge is who will pay for the system upgrades.

    In classic political fashion, the answer to that question has thus far been “not me but thee.” Following the tradition of “users pay,” a salient answer might see firms investing heavily in AI bearing the lion’s share of the cost. Prominent firms like Google, Meta, Microsoft, and OpenAI are seen as creating the load problem. Some of those firms are historically valuable, so obviously, in the minds of many, they are fattened calves to sacrifice. Never mind that AI may not play out along the lines of the most optimistic projections, or that an ultimate dominant player may not be today’s incumbent behemoth. Many data centers have nothing at all to do with AI, providing a wide range of services from web hosting or cloud computing to cryptocurrency mining. Most data centers are relatively small, though the public imagination latches onto the largest hyperscaled facilities.

    This has been the basis of the Trump administration’s proposal to “bring generation with you.”1 The notion that hyperscalers are going to supplant an entrenched industry like electric utilities is rather heroic. Neither party wants that to happen. If tech firms wanted to be in the electricity business, they’ve had plenty of opportunity to opt into a capital-intensive and heavily regulated, low-margin business. But they haven’t and probably won’t. Hyperscalers want to buy energy and the reliability that the U.S. grid delivers. By the same token, utilities look at the disruptive landscape of technology and hail the importance of reliability.

    Segments and Issues in the Current Energy Landscape

    In a rare contemporary instance of grade deflation, the most recent annual ASCE infrastructure assessment awarded a D+ to American energy infrastructure.2 The low grade is misleading, however, as it relies heavily on earlier analyses geared toward policy aspirations for emissions reduction and electric transitions within the transportation system. Now, in an environment facing growing demand after an about-face in policy priorities, the current U.S. energy infrastructure deserves a closer look....

    ....MUCH MORE 

    "The last astronomers"

    From the journal Science, June 4: 

    Amid a flood of AI advances, astrophysicists are questioning the soul of their field

    One afternoon in April, Cecilia Garraffo settled down at the head of a conference room table in Cambridge, Massachusetts, and gazed out at what might be the last astrophysicists of their kind.

    The walls of this room had, in the past, reverberated with the din of thousands of other groups of scientists. Now, as streaks of sunlight poured in, the discussions turned to nonhuman collaborators. One by one, the gathered researchers discussed how they planned to apply machine learning to problems in astronomy. Observing an interstellar comet. Discerning wispy filaments of galaxies at the universe’s largest scales. Developing a new “tokenizer” that can translate astrophysical images into a form more readable by artificial intelligence (AI). “Sometimes models will be overconfident,” Garraffo warned a junior team member.

    Afterward, as everyone filed out, black hole researcher Daniel Palumbo made a brief announcement. Representatives from AI chipmaker NVIDIA were on campus in search of scientists who wanted to solve problems using their hardware. To anyone who might need extra processing power, “today’s the day,” he said.

    The Center for Astrophysics | Harvard & Smithsonian employs more than 600 astronomers in Cambridge, Massachusetts, and more than 800 overall, making it one of the world’s largest concentrations of professional stargazers. Garraffo heads its AstroAI group, which is charged with leading the center’s approach to applying machine learning to various problems. In just 4 years since they first proposed this specialized team, Garraffo and her colleagues have forged collaborations throughout the building and with industry teams such as Google DeepMind and Anthropic.

    Originally, their goal was to use machine learning and AI to remove the technical barriers of math and computation while preserving what Garraffo considers the fun part of physics: honing scientific questions. Their toolbox did not include chatbots. Despite the buzz around ChatGPT, which was released within months of AstroAI’s first proposal, Garraffo had thought her group would steer clear of the headline-grabbing tool and other large language models (LLMs).

    At least, until recently.

    Now, stories of miraculous progress were starting to spread across the institution. As her MacBook Air pinwheeled to a crawl thanks to an AI agent running software locally, Garraffo’s colleague Alyssa Goodman showed me a data-fitting problem. She wanted to understand how the spiral arms of a distant galaxy were moving. But isolating just that motion from other patterns imparted into her data by the spin and the geometry of that distant galaxy had thwarted her group for years. She asked ChatGPT, which resolved the problem in a few minutes. Now, her research group was planning to write several papers on the resulting data set, “the single best map of spiral arm kinematics ever—like, by a factor of 100.”....

    ....MUCH MORE 

    "Why the West stopped making land"

    From Works In Progress, June 23:

    Large swaths of America’s cities were originally underwater. We stopped half a century ago, but there is plenty more land left to take.  

    Some of America’s most famous land was reclaimed from the sea. The Lincoln Memorial, the World War II Memorial, and the Reflecting Pool all sit on earth reclaimed from Potomac River tidal flats in the early twentieth century. Treasure Island was built in San Francisco Bay for the 1939 Golden Gate International Exhibition. Chicago’s Northerly Island was filled in from Lake Michigan to complete Daniel Burnham’s 1909 plan of the city

    In total, around eight percent of the land in America’s major coastal cities was underwater in the 1890s and has since been reclaimed. This includes the land under several major airports, like Newark, Logan, and SFO, as well as neighborhoods like the Financial District in San Francisco, the Back Bay in Boston, and Camden in Philadelphia. Some cities, like Boston and Charleston, have doubled in size by reclaiming land.

    https://worksinprogress.co/.netlify/images?url=https%3A%2F%2Fassets.worksinprogress.co%2Fwp-content%2Fuploads%2F2026%2F06%2Fimage-84.png&w=960&h=1148&q=65&fit=cover 

    Today, reclamation should be more common than ever. Land values in some cities are thirty times what they were in 1950, and high-tide flooding is four to eight times as frequent. Reclamation could extend and protect our coastal cities as it has for centuries. But rather than reclaim more land, we have virtually ceased to reclaim any at all. Since the completion of Battery Park City in 1976, there has not been a single major urban land reclamation project in the United States and only a handful of port expansions.

    https://worksinprogress.co/.netlify/images?url=https%3A%2F%2Fassets.worksinprogress.co%2Fwp-content%2Fuploads%2F2026%2F06%2Fcity-land-reclamation-growth-recolored-scaled.png&w=960&h=1270&q=65&fit=cover 

    Two explanations are commonly proposed for this: first, that the easy spots have already been reclaimed, and second, that improved transportation has made reclamation unnecessary since we can expand cities further inland instead. But neither of these matches the evidence. Other countries still reclaim land at enormous scale, under conditions at least as challenging as those in the United States. The transportation story was once plausible, but not any more. Transportation has stopped improving, and downtown land values have risen so much that reclamation costs would be dwarfed by the value of the land created.

    The timing points to a third explanation. Reclamation stopped abruptly in the 1970s when a wave of environmental regulations made it enormously expensive to reshape the landscape. And it halted at the same time in every other country that passed similar laws....

    ....MUCH MORE 

    "The Great British Tea Heist"

    From Smithsonian Magazine:

    Botanist Robert Fortune traveled to China and stole trade secrets of the tea industry, discovering a fraud in the process 

    In 1848, the British East India Company sent Robert Fortune on a trip to China's interior, an area forbidden to foreigners. Fortune's mission was to steal the secrets of tea horticulture and manufacturing. The Scotsman donned a disguise and headed into the Wu Si Shan hills in a bold act of corporate espionage.

    With [his servant] Wang walking five paces ahead to announce his arrival, Robert Fortune, dressed in his mandarin garb, entered the gates of a green tea factory. Wang began to supplicate frantically. Would the master of the factory allow an inspection from a visitor, an honored and wise official who had traveled from a far province to see how such glorious tea was made?

    The factory superintendent nodded politely and led them into a large building with peeling gray stucco walls. Beyond it lay courtyards, open work spaces, and storerooms. It was warm and dry, full of workers manufacturing the last of the season’s crop, and the woody smell of green tea hung in the air. This factory was a place of established ceremony, where tea was prepared for export through the large tea distributors in Canton and the burgeoning tea trade in Shanghai.

    Although the concept of tea is simple—dry leaf infused in hot water—the manufacture of it is not intuitive at all. Tea is a highly processed product. At the time of Fortune’s visit the recipe for tea had remained unchanged for two thousand years, and Europe had been addicted to it for at least two hundred of them. But few in Britain’s dominions had any firsthand or even secondhand information about the production of tea before it went into the pot. Fortune’s horticultural contemporaries in London and the directors of the East India Company all believed that tea would yield its secrets if it were held up to the clear light and scrutiny of Western science.

    Among Fortune’s tasks in China, and certainly as critical as providing Indian tea gardens with quality nursery stock, was to learn the procedure for manufacturing tea. From the picking to the brewing there was a great deal of factory work involved: drying, firing, rolling, and, for black tea, fermenting. Fortune had explicit instructions from the East India Company to discover everything he could: “Besides the collection of tea plants and seeds from the best localities for transmission to India, it will be your duty to avail yourself of every opportunity of acquiring information as to the cultivation of the tea plant and the manufacture of tea as practised by the Chinese and on all other points with which it may be desirable that those entrusted with the superintendence of the tea nurseries in India should be made acquainted.”

    But the recipe for the tea was a closely guarded state secret.

    In the entry to the tea factory, hanging on the wall, were inspiring calligraphic words of praise, a selection from Lu Yu’s great work on tea, the classic Cha Ching.

    The best quality tea must have
    The creases like the leather boots of Tartar horsemen,
    Curl like the dewlap of a mighty bullock,
    Unfold like a mist rising out of a ravine,
    Gleam like a lake touched by a zephyr,
    And be wet and soft like
    Earth newly swept by rain.

    Proceeding into the otherwise empty courtyard, Fortune found fresh tea set to dry on large woven rattan plates, each the size of a kitchen table. The sun beat down on the containers, “cooking” the tea. No one walked past; no one touched or moved the delicate tea leaves as they dried. Fortune learned that for green tea the leaves were left exposed to the sun for one to two hours.

    The sun-baked leaves were then taken to a furnace room and tossed into an enormous pan—what amounted to a very large iron wok. Men stood working before a row of coal furnaces, tossing the contents of their pans in an open hearth. The crisp leaves were vigorously stirred, kept constantly in motion, and became moist as the fierce heat drew their sap toward the surface. Stir-frying the leaves in this way breaks down their cell walls, just as vegetables soften over high heat.

    The cooked leaves were then emptied onto a table where four or five workers moved piles of them back and forth over bamboo rollers. They were rolled continuously to bring their essential oils to the surface and then wrung out, their green juice pooling on the tables. “I cannot give a better idea of this operation than comparing it to a baker working and rolling his dough,” Fortune recalled....

    ....MUCH MORE 

    Robert Fortune and the Cha Ching?

    If this were Hollywood they'd say, "Perhaps a bit too on the nose." 

    Friday, July 3, 2026

    Through Thursday, July 2: "Venezuela Earthquake Toll Reaches 2,295 Dead and 6,461 Rescued 1 Week After Tragedy"

    The just released death toll as/of Friday July 3 has risen to  2,645, with more than 12,600 injured.

    From The Orinoco Tribune, July 2: 

    The president of the National Assembly of Venezuela, Deputy Jorge Rodríguez, has reported the updated figures on the ongoing emergency response and the scale of the natural catastrophe that Venezuela has been suffering.

    During his daily broadcast in the early afternoon this Wednesday, July 1, Rodríguez provided the latest casualty reports that mark seven days since the devastating June 24 earthquakes.

    Updated casualty and rescue figures
    According to the top Venezuelan official, 2,295 people have lost their lives so far, and a further 11,267 individuals are reported injured. On a positive note, 6,461 people have been successfully rescued from the debris, including a young girl who was pulled alive from the rubble on Tuesday.

    Seismic activity continues to stabilize, with 782 aftershocks recorded so far. Rodríguez also indicated that these tremors are becoming less frequent and are of a lesser magnitude. While he cautioned that the nation is not entirely out of the woods yet, the downward trend represents a positive development for the affected regions....

    ....MUCH MORE 

    "US Grid Constraints: Towards 40GW+ of Behind-The-Meter Datacenter by 2028?"

    Filed under "Things that could slow the realization of the Master Plan For World Domination."

    From SemiAnalysis, June 25:

    Why the Grid Can't Keep Up, and Why that Drives Behind-The-Meter 50%+ of DCs/Year By 2028 

    Today, the US grid is serving most datacenter load in the US, but we’re reaching a tipping point. As the insatiable demand for power of AI Labs and hyperscalers keeps accelerating, the grid simply can’t add capacity fast enough. That leaves Behind-The-Meter as the only way for the largest players to secure the power they need. Nearly a year ago, our Onsite Gas deep dive was the first to predict the fast rise of new entrants in the BTM gas equipment market. Since then, companies like Bloom Energy, Bergen Engines, Wärtsilä and many others have been remarkably successful. Overcoming GEV and Siemens turbine capacity constraints proved far easier than many had feared.

    Today, we go deeper and model US Grid capacity to understand the shortfall that must be filled by Behind-The-Meter solutions for datacenters.

    Let’s start with key numbers: first, we continue to see a record datacenter buildout in the US, going from +21GW in 2026 to +84GW by 2030. We explained in detail last week why Datacenter Delays headlines are often overblown.

    Our research suggests that BTM will power well over half of new US datacenters in 2028+, and the Total Addressable Market (TAM) for DC BTM equipment to cross 50GW/year by 2029. New Grid Capacity isn’t growing fast enough, and also needs to serve non-datacenter load growth.

     

    Source: SemiAnalysis Energy Model, SemiAnalysis Datacenter Model

    The chart above shows the three core building blocks of our forecast: Expected Datacenter US Gross Power Demand, available US Grid Capacity, and New Grid Supply. We use the best of SemiAnalysis industry-leading insights to build this forecast.

    The first block, datacenter demand, comes from a bottom-up forecast powered by a building-by-building model, supported by chip-by-chip AI demand forecast of the Accelerator Model, and validated by our Tokenomics Model which tracks the economics of the buildout and answers the “bubble” question.

    The second building block of our Energy Model, grid headroom, analyzes supply & demand dynamics in each major part of the US grid. Our model follows the methodologies of all ISOs & RTOs and models UCAP/ICAP reserves, supply & demand growth, reliability risks, etc.

    The third block forecasts new grid supply, through a bottom-up forecast produced by our new Energy Model. We track 40,000 generation assets in the US and forecast quarter by quarter Commercial Operation Date (COD) for all fuel types. We then estimate the “true” capacity value of power plants via our proprietary ELCC model, adapting to the specifics of each ISO and major non-ISO region.

    Our forecast points to barely 15GW of net-new ELCC capacity being added annually, with a rising trend towards 20GW+ by the end of the decade. This is effectively all the firm capacity being added to the system that a grid operator can recognize to serve firm datacenter load - as well as other firm load like industrial plants, semiconductor fabs, etc.

     

     Source: SemiAnalysis Energy Model

    Netting that accredited supply against peak demand and required reserve margins is what yields headroom itself, the spare accredited capacity a market has left to host new load after covering its own peak demand and required reserve margin. On this basis, available headroom is already approaching zero and turns negative by 2027, based on our analysis of required reserve margins across the country....

    ....MUCH MORE