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Samsung, TSMC Commit to ASML High-NA EUV as AI Drives Chipmaking Complexity

By
Samuel Nwite
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0

Samsung Electronics and TSMC, the world’s two largest chipmakers, have committed to using ASML’s next-generation High-NA extreme ultraviolet lithography machines, strengthening the Dutch equipment maker’s position at the center of the global semiconductor industry’s race to produce advanced chips.

The commitments provide ASML with greater visibility into demand for its most sophisticated lithography technology at a time when chipmakers are investing heavily to keep pace with the rapidly increasing computational requirements of artificial intelligence.

ASML’s EUV lithography systems are among the most critical and expensive machines in semiconductor manufacturing. They use extreme ultraviolet light to print extraordinarily fine circuit patterns onto silicon wafers, allowing chipmakers to build smaller and more sophisticated transistor structures.

High-NA EUV represents the next generation of the technology, using a higher numerical aperture to print smaller and more intricate patterns with greater precision. Each machine can cost around $400 million.

Samsung, one of the world’s largest memory-chip manufacturers, said it plans to use High-NA EUV machines for DRAM production from 2028.

The company said the technology would allow it to “extend the DRAM scaling roadmap” while improving manufacturing efficiency.

The move is seen as a game-changer for the memory industry, where manufacturers are under pressure to increase density and performance as demand for high-bandwidth memory and other advanced components rises alongside AI computing.

TSMC, the world’s largest contract chipmaker, said it would deploy High-NA EUV for advanced logic chips and expects its use of the technology to increase. The Taiwanese company said adoption would be driven “primarily by the increasingly complex transistor architectures required for AI applications.”

The commitments from Samsung and TSMC illustrate how the AI boom is affecting the semiconductor industry well beyond demand for processors.

Advanced AI systems require chips containing large numbers of transistors, while improvements in performance and energy efficiency depend on manufacturers continuing to shrink and refine those transistor structures.

That is making lithography one of the industry’s most important technological bottlenecks.

ASML is effectively the sole supplier of the world’s most advanced EUV lithography systems, giving it an unusually powerful position in the semiconductor equipment industry. The transition to High-NA EUV is therefore being closely watched by investors as a potential new growth cycle for the company.

Barclays said in a note Tuesday that the announcements “should provide more visibility on adoption which has been a key debate,” describing the developments as “a positive.”

ASML shares were flat to slightly lower in early Amsterdam trading on Tuesday, even as investors assess the implications of the commitments for future equipment demand.

The stock has risen about 120% over the past year, reflecting expectations that sustained investment in AI infrastructure will translate into greater spending on advanced semiconductor manufacturing equipment.

Samsung and TSMC join Intel

Samsung and TSMC now join Intel as customers for ASML’s High-NA machines. In July, ASML said Intel was already using High-NA EUV technology for advanced chip manufacturing, making the three leading semiconductor manufacturers early adopters of the technology.

The commitments are necessary because High-NA EUV machines are substantially more expensive and technically demanding than previous-generation EUV systems. Their commercial success therefore depends on whether the world’s leading chipmakers believe the additional manufacturing capability justifies the enormous investment.

ASML has not provided a recent forecast for the number of High-NA machines it expects to sell. However, the company has said it plans to increase its overall EUV capacity by about 30% in 2027.

Barclays analysts said the Samsung and TSMC announcements should improve ASML’s ability to plan future capacity.

“We see ASML with a significant decision ahead on whether to further expand EUV capacity than the recently expanded targets it has already given. Demand is clearly strong,” the analysts said.

That creates an important strategic decision for ASML. Expanding production too aggressively could leave the company with excess capacity if High-NA adoption takes longer than expected. Moving too slowly, however, could constrain sales at a time when AI-related semiconductor investment is accelerating.

The latest commitments tilt the balance toward stronger demand visibility.

Samsung and TSMC are also joining ASML in an industry initiative aimed at advancing next-generation 12-inch photomask technology, replacing the current 6-inch format. Photomasks function essentially as stencils in semiconductor manufacturing. They contain the patterns that are transferred onto silicon wafers during lithography and are therefore a critical part of the chip production process.

ASML said larger photomasks could improve productivity and reduce chipmaking costs.

The development highlights another aspect of the industry’s transition to more advanced manufacturing: progress is not limited to the lithography machine itself. Chipmakers and equipment suppliers are also redesigning surrounding processes to make complex production economically viable.

For Samsung and TSMC, the ability to manufacture more advanced chips efficiently will become more important as the cost of leading-edge fabrication rises. The adoption of High-NA EUV by Samsung, TSMC and Intel provides an early indication that the technology is moving beyond the experimental stage toward broader commercial deployment.

The timetable is still gradual. Samsung’s planned DRAM adoption from 2028 and TSMC’s expectation of increasing use suggest that High-NA EUV will become a progressively larger part of advanced chip manufacturing rather than replacing existing EUV systems overnight.

That transition could nevertheless create a substantial new equipment market for ASML.

The economics are compelling for chipmakers if High-NA technology allows them to produce more sophisticated transistor structures with fewer processing steps, higher yields, or better performance. The $400 million price tag for an individual machine becomes easier to justify if it reduces other manufacturing costs or enables chips that cannot be produced economically with older technology.

Therefore, the announcements represent more than customer commitments. They provide ASML with evidence that the world’s leading chipmakers are preparing to spend heavily on the next generation of lithography as AI pushes semiconductor designs toward greater complexity.

Banana Bot Copy Trade vs Fomo’s Social Feed: Who Exits First When the Whale Sells

By
TI Partners
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0

Your phone buzzes. A trader you follow on Fomo just closed a big position.

You have seconds to decide what your own screen is telling you to do, and the answer is not the same on every platform.

A copy means something different on each platform

On Fomo, a self-custodial social trading app live on Solana and Robinhood Chain, following a trader gives you a feed: notifications on every buy or sell, plus the app’s own promise of “ONE CLICK TO BUY.”

Banana Gun’s Copy Trade works from the other direction. It mirrors a wallet address from a wallet you control, and filters like Buy Fixed, Buy Only Once and Min/Max Market Cap get set before the trade happens, not after.

One system hands you information and waits for a decision. The other executes a decision you already made. Read how wallet mirroring works across chains in Banana Gun’s copy trading guide before you pick a wallet to follow.

What happens on Fomo when the wallet you follow sells

You get a notification. What you do after it is on you.

Fomo’s own guides build the whole process around that alert. Every step after the buzz is a step you take yourself.

What happens in Banana Gun’s Copy Trade when the wallet sells

Nothing waits for you to notice. A Trailing Stop Loss you set earlier closes the position once price reverses.

A limit order placed in advance fills if price reaches your level. Both of them watch price alone, with no view of the whale’s wallet.

The docs also list a Copy Sell option. Confirm inside the bot what it does on your chain before you rely on it.

Who exits first

The copied wallet exits first, always, in both systems. Whether you’re on Fomo or running Banana Gun’s Copy Trade, the trade you’re mirroring closes before your own position does.

Your exit follows the wallet’s in both systems.

What changes is what fills the gap between the wallet’s sell and yours. On Fomo, a person fills it: you, reading a notification, weighing it, then acting on your own judgment about where price stands.

In Banana Gun’s Copy Trade, an order fills that gap instead, and it already existed before the wallet sold anything. A Trailing Stop Loss or a limit order sits in the bot waiting on a price level rather than on a wallet address.

It has no idea why price moved, and it does not need to. It only knows the number you gave it earlier.

Banana Gun exits on the terms you set, whenever price crosses them, whether the copied wallet has sold yet or not.

What Fomo’s own guides say about exits

Fomo tells its own users to prepare for this moment themselves.

Fomo’s own copy-trading guide (1 February 2026) and risk guide (25 December 2025) describe exits as notifications plus levels you hold in your head; neither describes a take profit or stop loss order attached to a copied position.

What the 95.2 percent stat says about exits on a social feed

Unfolded’s read of Dune data found 95.2 percent of 375,740 Fomo users on Robinhood Chain lost money or made under 100 dollars.

BigGo’s reporting on the same data attributes much of that skew to copied exits. A feed that tells you a wallet sold is a different thing from a position that closes on its own. Of those 375,740 users, 229 made more than 10,000 dollars, per the same analysis.

Two things that break on Fomo’s side

Fomo’s own risk guide says it plainly: with memecoins, “most traders not using hard stop losses/take profits,” and the same guide tells readers to have mental levels in place.

Fomo’s guide lists enabling notifications as its own step. A follower who skips it is waiting on an alert they never switched on.

Two things that break on Banana Gun’s side too

A Trailing Stop Loss set too tight closes you out on a single wick, before any real reversal takes shape in the chart.

A limit sell placed at a fixed price never fills if the token gaps straight through that level on the way down. Both are settings you chose, so both are yours to widen or move.

What no exit option promises

An order you configured is only as good as the level you gave it, on either side of a trade.

Any copied exit, whatever the option is called, lands after the wallet’s own sell, the same way a Trailing Stop Loss lands after price reverses. Nothing in either system removes that gap entirely.

Setting the exit before you need it

The order has to exist before the wallet sells. Set a Trailing Stop Loss or a limit order the moment you open a copy, before the first notification would even arrive.

That is the entire difference this comparison comes down to: a human acting on an alert, or an order that was already waiting on price.

Pick the wallet, then pick your exit

Wallet selection still decides most of the outcome, on either platform. A bad wallet loses money no matter how fast you react to it, and no exit rule fixes that on its own.

Open Banana Gun’s Telegram bot and set a Trailing Stop Loss or a limit order before you copy your first trade.

The Hidden Easter Egg in Nvidia’s $12.9303 Billion Hugging Face Deal

By
Paul Ugbede Godwin
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0

When Nvidia announced its agreement to acquire artificial-intelligence platform Hugging Face for $12.9303 billion, the unusually precise figure immediately stood out. Most billion-dollar acquisitions are presented in rounded numbers, but this one carried six extra digits that appeared almost deliberately engineered.

As it turns out, they were. Hugging Face co-founder Thomas Wolf hinted that the acquisition price contained references to both Hugging Face and Nvidia, challenging observers to decode the number.

The first clue was relatively easy for technically minded audiences to spot: 129,303 is the decimal representation of Unicode code point U+1F917, the official Unicode character for the ? “Hugging Face” emoji.

That is more than a clever coincidence. The emoji is central to Hugging Face’s identity.

The company, founded in 2016 by Clément Delangue, Julien Chaumond and Thomas Wolf, took its name from the familiar digital symbol and eventually transformed from a chatbot project into one of the world’s most important platforms for open AI models, datasets and developer tools.

The second half of the puzzle was more difficult. Some observers initially interpreted 12-93-03 as a collection of Nvidia references: $12, the company’s initial public offering price; 1993, the year Nvidia was founded; and three, representing its three founders.

It was an ingenious theory—but it was not the intended answer. Hugging Face CEO Clément Delangue ultimately pointed toward the real Nvidia connection: 129303 is also a hexadecimal color code, #129303, corresponding to a vivid green remarkably close to Nvidia’s iconic brand color.

Suddenly, the acquisition price becomes a piece of corporate wordplay. The number simultaneously points toward the identity of Hugging Face and the visual identity of Nvidia. What initially looks like an unusually precise financial valuation is effectively a digital handshake between two technology companies.

The joke also reveals something about the character of the transaction. Nvidia is paying roughly $12.9 billion for a company whose value is not simply measured by conventional revenue multiples.

Hugging Face has become a major gathering place for AI developers, researchers and organizations. Nvidia said more than 18 million developers, researchers and creators use the platform, alongside more than 200,000 companies. The platform hosts millions of models, datasets and applications.

That makes the acquisition strategically important beyond the headline price. Nvidia is not merely purchasing software. It is gaining deeper access to the open-model ecosystem and a huge community of developers building the next generation of AI applications.

Crucially, Nvidia says Hugging Face will remain an open platform. Developers will continue to choose their preferred models, frameworks, cloud providers and computing platforms, rather than being forced to use Nvidia hardware.

The Easter egg therefore works on two levels. It is playful enough to reward developers who understand Unicode and hexadecimal notation, but meaningful enough to symbolize the relationship Nvidia is buying into.

In an industry dominated by enormous valuations and serious strategic battles, the $12.9303 billion figure is a reminder that technology companies are sometimes built by people who enjoy the same technical details as their communities.

Hidden inside one of the biggest AI acquisitions is a simple message: Hugging Face meets Nvidia—right down to the code.

Erin Piacenti Times Square Stabbing: GoFundMe Raises Nearly $750,000 for Newborn Daughter

By
Paul Ugbede Godwin
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0

A devastating act of violence in New York City has left a family facing an unimaginable future, while a remarkable wave of public support is helping provide some measure of security for a newborn child who lost her mother before she could grow up knowing her.

Erin Piacenti, a Bank of America employee, was killed in a stabbing in Times Square, leaving behind her newborn daughter.

In the aftermath of the tragedy, a GoFundMe campaign created to support the child has raised almost $750,000, reflecting the extraordinary response of people determined to help a family navigate the financial and emotional consequences of an abrupt loss.

The fundraising effort is about much more than a financial target. For the family, the money represents practical assistance at a moment when ordinary life has been shattered.

Raising a child requires years of expenses, from healthcare and childcare to education, housing and everyday necessities. Losing a parent can also create financial pressures that compound grief.

Contributions to the campaign therefore offer a form of long-term support for Piacenti’s daughter as she grows. The circumstances surrounding Piacenti’s death have made the story particularly painful.

Times Square is one of the world’s most recognizable public spaces, associated with tourism, entertainment and the constant movement of millions of people. Violence in such a prominent location can produce a profound sense of vulnerability because it demonstrates how quickly an ordinary day can become a life-changing tragedy.

Yet the response to Piacenti’s death has also highlighted another side of urban life: solidarity. Thousands of people who may never have known her or her family have chosen to contribute.

Their donations demonstrate how communities can mobilize quickly when tragedy strikes, using digital fundraising platforms to transform individual acts of compassion into substantial collective assistance.

The nearly $750,000 raised is especially significant because it can potentially give Piacenti’s daughter opportunities and stability that might otherwise have been more difficult to secure. While money cannot replace a mother, it can help protect a child’s future.

It can pay for necessities, preserve educational opportunities and reduce some of the financial uncertainty that accompanies the loss of a parent. The story also illustrates how modern philanthropy has changed.

In previous generations, families often depended primarily on relatives, close friends, employers or local organizations after a tragedy. Today, an online fundraising campaign can reach people across the country and around the world within hours.

Social media and digital payment systems have made it possible for strangers to participate directly in helping families they have never met. At the same time, such campaigns underscore an uncomfortable reality,

When tragedy strikes, families can suddenly face financial needs that are difficult to absorb. Community generosity can provide an important safety net, but it also raises broader questions about workplace benefits, life insurance, childcare support and the systems available to families after unexpected deaths.

For Piacenti’s daughter, the fundraising campaign will eventually become part of a story about the people who stood behind her when she was too young to understand what had happened. Her mother’s death is an irreversible loss. But the generosity that followed offers a powerful reminder that even amid violence and grief, strangers can choose compassion.

The almost $750,000 raised is therefore not simply a number. It represents thousands of individual decisions to help secure a child’s future—and a collective refusal to allow tragedy to define everything that comes next.

EverBank Agrees to $3.9 Billion Reverse Merger With WaFd in $3.9 Billion Deal

By
Samuel Nwite
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0

Combination will create a regional bank with about $75 billion in assets and give EverBank investors majority control

Florida-based EverBank Financial has agreed to acquire Pacific Northwest lender WaFd in a $3.9 billion reverse-merger transaction that will create a regional bank with roughly $75 billion in assets, the companies said Monday.

The transaction will combine EverBank’s banking and financial-services operations with WaFd’s established branch network and customer base across the Pacific Northwest, creating a larger regional lender at a time when banks are increasingly pursuing scale to improve efficiency and compete for deposits and commercial customers.

Under the agreement, EverBank will merge into WaFd, allowing WaFd to remain a publicly traded company. Following completion, the combined company will be renamed EverBank Financial Corp and will trade on the Nasdaq under the ticker EVBK.

EverBank shareholders will collectively own approximately 59.2% of the combined company, while existing WaFd shareholders will hold the remaining 40.8%.

The transaction is expected to close in early 2027, subject to regulatory approvals and other customary closing conditions. The companies said the combination is expected to increase WaFd’s 2027 earnings per share by approximately 29% and recover the tangible book value dilution associated with the transaction in less than two years.

The deal gives EverBank a significantly larger balance sheet and provides a platform for expanding its presence beyond its existing Florida base.

The transaction offers WaFd access to EverBank’s capital and earnings profile while allowing the Pacific Northwest lender to participate in a larger institution with greater scale. The roughly $75 billion pro forma asset base would place the combined bank among the larger U.S. regional lenders, potentially giving it greater capacity to invest in technology, lending platforms and deposit-gathering capabilities.

The transaction also indicates the continued appeal of bank consolidation as lenders contend with higher technology and compliance costs, intense competition for deposits and pressure on net interest margins. Larger institutions can spread those expenses across a broader asset base while diversifying revenue streams and geographic exposure.

The reverse-merger structure has gained attention because EverBank, the acquiring business, will merge into WaFd, the legal surviving public company. The arrangement allows the combined institution to preserve a public-market listing while transferring control to EverBank’s existing shareholders.

The projected 29% increase in 2027 earnings per share for WaFd shareholders is a central financial justification for the transaction. The companies also expect to recover tangible book value dilution in less than two years, suggesting that management sees the deal as capable of generating sufficient earnings and capital benefits to offset the initial impact on book value.

For bank investors, the ability to restore tangible book value relatively quickly can be a great measure of whether an acquisition creates value rather than simply increasing the size of the balance sheet. The combined company will also have a broader geographic footprint, potentially reducing its dependence on economic conditions in any single regional market.

The transaction nevertheless leaves execution as a critical factor. Integrating banking operations, technology systems, employees, and customer relationships can create costs and operational risks, while the expected earnings benefits depend on achieving projected synergies and maintaining asset quality.

Regulatory approval will also be closely watched given the size of the resulting institution.

The deal comes as the U.S. banking industry continues to adjust to a higher-cost operating environment and changing competitive dynamics.

Regional banks have faced pressure to maintain attractive deposit rates while protecting lending margins, particularly as customers become more sensitive to yields on cash and alternative investment products. At the same time, banks need greater scale to fund technology investments and meet complex regulatory requirements.

The EverBank-WaFd combination provides a response to those pressures by bringing together two complementary franchises and creating a substantially larger balance sheet.

The success of the deal will ultimately depend less on the headline $3.9 billion valuation than on whether the combined bank can deliver the projected earnings growth while retaining customers, controlling costs and maintaining strong credit quality. If completed as planned, the transaction will create a new regional banking platform with approximately $75 billion in assets and a shareholder structure in which EverBank investors hold the controlling economic interest.

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