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SUBBD Is Bringing OnlyFans to Web3 – Metaverseplanet.net

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SUBBD Is Bringing OnlyFans to Web3 – Metaverseplanet.net


The $85 billion subscription content industry is on the verge of a transformation — and the SUBBD ($SUBBD) ICO is poised to ignite this change.

With its AI-powered platform and native cryptocurrency, SUBBD isn’t just redesigning how content creators connect with their fans — it’s rewriting the rules altogether. By giving creators full control and automating tedious tasks, SUBBD empowers them to do what they do best: create content.

Combining AI and Web3 to Empower Creators

SUBBD Is Bringing OnlyFans to Web3

From monetization and automation to fan engagement and scalability, SUBBD brings together Web3 and artificial intelligence to streamline the entire content creation process.

Just last week, the SUBBD ICO launched and has already raised over $134,000, signaling strong interest in this new model. The $SUBBD token is backed by more than 2,000 top-tier influencers, collectively reaching a network of 250 million followers.

Some of these influencers, including stars like Victoria and Gabrielle (known as the “Honeys”), are set to host live fan meetups starting today at 7 PM GMT. Fans will have the chance to interact, ask questions, and gain insight into their favorite creators’ journeys — and perhaps hear a few secrets.

Currently, the $SUBBD token is available at just $0.055125, but this price will only last for two more days before the next presale phase begins.

The AI-Powered Subscription Platform Changing the Game

Being a content creator can be lucrative — some of the top names earn millions monthly — but for most, it’s a relentless hustle. Staying visible, producing fresh content daily, and keeping fans engaged often leads to burnout.

For solo creators without a team, it’s even tougher. Editing videos, managing livestreams, replying to chats, and fulfilling custom requests consume valuable time and creative energy.

That’s where SUBBD steps in.

As the first AI-powered subscription platform, SUBBD introduces an AI assistant that handles everything from real-time fan engagement and automated livestreams to generating short videos and voice notes.

By automating repetitive tasks, SUBBD allows creators to focus on what truly matters — content creation.

And thanks to its built-in crypto infrastructure, SUBBD offers a new level of monetization with low-fee, instant payments and direct ownership.

Maximize Earnings on Web3 with SUBBD

At the heart of the SUBBD ecosystem lies the $SUBBD token, a utility asset that fuels this creator-first economy.

Unlike traditional platforms where creators lose up to 50% of their earnings to intermediaries, SUBBD enables direct crypto payments with lower fees, full transparency, and instant access.

Fans benefit too — they can use $SUBBD tokens to tip, subscribe, unlock exclusive content, and send requests without delays or hidden charges. Additional perks include early access to new posts, loyalty rewards, and premium fan experiences.

This token isn’t just for creators and fans — it’s the fuel behind a growing Web3 ecosystem that merges AI automation with premium content revenue. Investors see an opportunity to tap into one of the fastest-growing segments of the digital economy.

A Booming Creator Economy, Perfect Timing for SUBBD

SUBBD is emerging at a pivotal moment. The creator economy surpassed $191 billion in 2024 and is projected to reach $525 billion by 2030.

According to Precedence Research, the Web3 market is expected to grow from $3.17 billion in 2024 to nearly $100 billion by 2034. Meanwhile, AI-powered content creation is projected to jump from $2.09 billion in 2023 to $8.45 billion by 2032 (Zion Market Research).

SUBBD sits at the intersection of three explosive trends — AI, Web3, and the creator economy — delivering a platform that is not just on time, but built for the future.

How to Join the Viral SUBBD ICO and Meet the Honeys

It’s only been a week since the SUBBD ICO launched, but it’s already approaching $150,000 in early funding.

To secure your share, visit the official SUBBD presale site and purchase with ETH, BNB, or USDT. Prefer fiat? You can also buy using a bank card by connecting a wallet like Best Wallet and claiming your tokens after the presale ends.

Additionally, you can stake your $SUBBD tokens at a fixed 20% APY, allowing you to grow your assets while supporting the future of AI-powered content creation.

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AWS outage exposes crypto industry’s vulnerability to centralized infrastructure

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AWS outage exposes crypto industry’s vulnerability to centralized infrastructure



Amazon Web Services (AWS) experienced a temporary outage on April 15 that disrupted several major crypto platforms and reignited concerns over the industry’s dependence on centralized infrastructure.

On Social media platform X, Binance, the world’s leading crypto exchange by volume, revealed that it temporarily suspended withdrawals as a precaution after facing connectivity issues.

The exchange confirmed that some transaction orders failed due to the AWS disruption.

However, less than an hour later, Binance announced that services were recovering and withdrawals had resumed, although delays might persist during the full system restoration.

Another major crypto trading platform, KuCoin, reported disruptions caused by the AWS incident. The exchange assured users their funds and data remained safe while its technical team worked on a fix.

Other platforms, including crypto wallet Rabby and analytics provider DeBank, also posted service interruption notices.

The outage sparked renewed conversations around the need for decentralized backend systems.

Santeri Aramo, co-founder of Auki Network, called the disruption proof of centralized vulnerability. He said:

“This is exactly why we build decentralized infrastructure. No single point of failure. No gatekeeper. No lock on your funds. Own your keys. Own your future.”

Why AWS suffered an outage

The AWS disruption occurred between 12:40 A.M. and 1:43 A.M. PDT, affecting 15 different services.

Amazon explained that the incident was caused by power interruptions at both its primary and backup systems were responsible. While most services were restored quickly, its relational database service remained affected at the time of the update.

During the outage, users experienced delayed responses and failed connections tied to EC2 instances in the affected zone.

Meanwhile, AWS assured users the issue had been resolved, and no recurring problems were expected.

AWS currently holds a dominant share of the global cloud infrastructure market.

This incident highlighted the risk of centralizing critical operations under one service provider, a risk crypto platforms often aim to eliminate in their core mission.

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How to exchange Ethereum to Bitcoin in 2025: Best practices and live ETH to BTC rates | NFT News Today

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How to exchange Ethereum to Bitcoin in 2025: Best practices and live ETH to BTC rates | NFT News Today


With crypto markets evolving rapidly in 2025, knowing how to exchange Ethereum to Bitcoin efficiently is essential for both seasoned traders and newcomers. Whether you’re rebalancing your portfolio or reacting to market trends, this guide will help you understand the best ways to swap ETH to BTC, what affects the ETH to BTC ratio, and how to get the best value in each transaction.

Why convert ETH to BTC in 2025?

There are many reasons to convert ETH to BTC, depending on your strategy and market view:

Diversification: Spreading assets across different coins helps reduce risk

Market timing: Traders often move between ETH and BTC to capture gains from short-term volatility

Store of value: Many consider Bitcoin a more stable long-term asset compared to Ethereum

Regardless of your reason, understanding the mechanics of the eth to btc exchange is crucial.

Understanding the current ETH to BTC ratio

The ETH to BTC ratio indicates how much Bitcoin you get in return for 1 Ethereum. This ratio shifts constantly based on:

Market demand for ETH and BTC

Transaction fees

Liquidity on exchange platforms

Major network updates or news affecting Ethereum or Bitcoin

As of April 2025, the average eth to btc ratio is around 0.057, though this can vary minute to minute. Always use real-time tracking tools or conversion platforms to get the most accurate rate.

How to swap ETH to BTC safely

There are a few ways to perform an eth to btc swap, each with its pros and cons:

1. Centralized Exchanges

Platforms like Binance and Kraken let users convert ETH to BTC easily after registration and KYC verification. They offer competitive fees but require full account setup and may delay transactions during high traffic.

2. Decentralized Exchanges (DEXs)

If you prefer to maintain control of your private keys, DEXs like Uniswap or 1inch can facilitate ETH-BTC swaps via wrapped Bitcoin tokens. However, they may involve complex interfaces and higher gas fees.

3. Instant Swap Services

Platforms like Quickex offer a fast, no-registration way to swap ETH to BTC with transparent rates. They’re ideal for users who want a frictionless experience without giving up privacy.

Tips for getting the best ETH to BTC exchange rate

Compare rates across multiple platforms before confirming the swap

Watch network fees, especially on Ethereum — high congestion can eat into profits

Use tools with real-time price tracking

Choose services with no hidden fees

By following these tips, you’ll maximize the value of every eth to btc swap.

Common mistakes when exchanging ETH to BTC

Even experienced users can make errors during an eth to btc exchange.

Here’s what to avoid:

Sending ETH to a BTC address (or vice versa) — funds may be lost

Ignoring slippage settings — especially important on DEXs

Not double-checking recipient wallet addresses

Converting during extreme market volatility

Avoiding these missteps can save both money and stress.

Final thoughts: efficiently exchange Ethereum to Bitcoin in 2025

Exchanging ETH to BTC in 2025 is easier than ever, thanks to a growing number of platforms and tools. Whether you prefer centralized options, decentralized protocols, or simple swap services like Quickex, always prioritize security, transparency, and timing. For a seamless experience, use trusted solutions to exchange Ethereum to Bitcoin safely and efficiently.



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Vitalik Buterin Highlights Privacy As Pillar Of Decentralization In Digital Age

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Vitalik Buterin Highlights Privacy As Pillar Of Decentralization In Digital Age


by
Alisa Davidson


Published: April 15, 2025 at 6:59 am Updated: April 15, 2025 at 6:59 am

by Ana


Edited and fact-checked:
April 15, 2025 at 6:59 am

In Brief

Vitalik Buterin published an article outlining his perspective on why privacy remains a critical component of decentralized systems offering a philosophical and technical foundation for this stance.

Vitalik Buterin Publishes New Essay Highlighting Privacy As Key Pillar Of Decentralization In Digital Age

Ethereum cofounder Vitalik Buterin published an article outlining his perspective on why privacy remains a critical component of decentralized systems offering a philosophical and technical foundation for this stance. According to him, privacy plays a vital role in protecting decentralization, as control over information often translates directly into power. Without mechanisms that safeguard user data, there’s a risk that centralized entities could gain disproportionate influence over digital ecosystems.

He notes that advances in AI are accelerating the collection and processing of personal data, often in ways individuals might not fully realize. This growing capacity for surveillance—combined with future developments such as brain-computer interfaces—raises concerns about how deeply external systems may penetrate personal spaces, possibly even to the point of interpreting thoughts. At the same time, cryptographic technologies are evolving rapidly, giving users stronger tools than ever before to protect their privacy online. Techniques like zero-knowledge proofs (ZK-SNARKs), fully homomorphic encryption (FHE), and emerging forms of data obfuscation are opening new possibilities for secure, private interactions that preserve both anonymity and verifiability.

In his post, Vitalik Buterin outlines three primary reasons he believes privacy is essential: it supports individual freedom by allowing people to make choices without external judgment; it underpins societal stability by maintaining necessary boundaries within systems; and it promotes innovation by enabling safe, selective data sharing that doesn’t compromise security or ethics.

He goes further by arguing that privacy itself can be a driver of societal progress. By using programmable cryptography, it’s possible to design flexible systems that manage how data is shared or concealed based on specific needs. For example, zero-knowledge proofs (ZKPs) can allow users to demonstrate that they are unique individuals without disclosing their identities, which could be useful in combating bots or enforcing usage limits without sacrificing anonymity. 

He also highlights practical applications such as Privacy Pools—privacy-preserving financial tools that can help identify illicit actors without building surveillance backdoors. In this model, users can prove that their funds do not originate from blacklisted sources, making the system both private and accountable. Other examples include on-device anti-fraud systems that filter messages without uploading personal data to external servers and blockchain-based supply chain verification using ZKPs to confirm product origins without exposing confidential details. 

Privacy Risks And Solutions In The Age Of AI 

Vitalik Buterin further commented on the state of privacy in the age of  AI. He noted that ChatGPT has recently announced a feature that enables the AI to use past user conversations as contextual reference in future interactions. While this development enhances the system’s ability to deliver more relevant responses, it also reflects a broader shift in the trajectory of AI—toward deeper integration with personal data. The potential benefits of this approach are large, as analyzing prior interactions can help tailor future exchanges to individual preferences. However, it also raises complex questions about privacy and trust in the digital age.

Looking ahead, it seems to him likely that some AI tools will begin collecting increasingly personal information, including online behavior, communication history, and even biometric data. While companies often claim this data remains private, reality doesn’t always match the ideal. One incident cited involved a user receiving a question intended for someone else, potentially due to a system error. It’s unclear whether this was a genuine privacy lapse or a hallucination by the AI, which fabricated a question and response. Either way, such situations highlight how difficult it can be to independently verify how user data is actually being used—or whether it’s being used at all for model training.

Concerns grow even more serious when AI is used for large-scale surveillance without consent. Technologies like facial recognition are already being deployed by governments to monitor citizens and suppress dissent, demonstrating how quickly these tools can be repurposed in ways that threaten individual freedoms. The most concerning frontier, however, lies ahead: the possible use of AI to interpret human thoughts and behaviors on an unprecedented level.

This has led to speculation about two contrasting futures. In one, AI evolves into an omnipresent force, constantly analyzing personal data—how people write, behave, and think—across all aspects of their lives. In the other, privacy is preserved through deliberate design choices, allowing societies to benefit from AI without sacrificing autonomy or dignity.

There are several promising strategies to support this more balanced path. One involves performing computations locally on a user’s device rather than relying on external servers. Many everyday AI tasks, such as voice transcription or image recognition, can be handled efficiently this way, improving both speed and privacy. Local processing can also eliminate the need to share data over networks, which reduces exposure to potential breaches.

Another solution lies in advanced cryptographic techniques like FHE, which allows computations to be performed on encrypted data without needing to decrypt it first. Though once considered impractical due to high computational costs, FHE is becoming more viable, especially for tasks involving large language models (LLMs), which are structurally suited for optimized implementation. When multiple parties are involved in a computation, secure multi-party computation and related methods such as garbled circuits can ensure that no single party gains access to private inputs.

Lastly, ensuring transparency in the hardware itself is critical. For example, devices capable of brain data interpretation should be subject to open-source standards and external verification. Technologies like IRIS can help confirm that devices are functioning as promised. This same principle can be applied elsewhere—for instance, surveillance cameras that are programmed to delete footage unless triggered by specific events, such as medical emergencies or acts of violence, with randomized community audits to verify compliance.

Taken together, these approaches illustrate that it is possible to pursue innovation in AI while maintaining strong safeguards around personal data. The challenge is not only technical but also ethical, requiring conscious decisions about how far society is willing to go in balancing utility with privacy.

Balancing Privacy And Surveillance In Technologically Driven Society

In his 2008 book “Future Imperfect,” libertarian thinker David Friedman offered speculative insights into how emerging technologies could reshape society. One of the themes he explored was the evolving relationship between privacy and surveillance. He envisioned a possible future in which increased digital privacy might counterbalance the growing presence of surveillance in physical spaces. This interplay, while complex, could potentially lead to a society that benefits from reduced physical violence without sacrificing the essential freedoms that privacy—especially in digital environments—helps to uphold.

Friedman’s vision suggests that such a world, while not perfect, could be among the better outcomes. It would be one in which civil liberties, open discourse, and individual autonomy remain intact, protected from overreach by maintaining a degree of opacity that allows social, political, and intellectual systems to function without constant exposure. This stands in stark contrast to a more dystopian alternative, where privacy erodes across both the physical and digital realms, possibly even extending into cognitive privacy. In this scenario, the normalization of intrusive surveillance could culminate in a future where thoughts themselves are monitored under the guise of legal or security frameworks—an outcome that could spark public backlash only after catastrophic leaks or data breaches reveal the full extent of these intrusions.

The balance between privacy and transparency has long been a foundational element of functioning societies. While some limitations on privacy can be justified, the broader concern lies in maintaining equilibrium. For instance, certain policy moves—like the push to eliminate non-compete clauses in employment contracts—can be viewed as constructive constraints on corporate confidentiality. Such measures may compel companies to share institutional knowledge more freely, indirectly contributing to greater innovation and economic mobility. While this does represent a reduction in privacy from the corporate side, it can be argued that the societal benefits outweigh the costs.

Looking forward, however, the greater threat may not be isolated trade-offs like these, but rather a systemic imbalance. As technology advances, there’s a risk that powerful entities—be they governments or major corporations—gain increasingly deep access to personal and behavioral data, while the public remains in the dark about how their own information is used or how decisions are made on their behalf. This disparity threatens to entrench power imbalances and erode trust in institutions.

For that reason, ensuring meaningful, equitable privacy protections for all individuals is emerging as a key priority. Promoting privacy-preserving tools that are transparent, open source, and accessible is not just a technical challenge but a moral imperative—one that may help determine the kind of society we build in the decades ahead.

Disclaimer

In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.

About The Author


Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.

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Alisa Davidson










Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.








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Hugging Face Doubles Down on Open-Source Innovation with French Robotics Powerhouse Pollen – Web3oclock

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Hugging Face Doubles Down on Open-Source Innovation with French Robotics Powerhouse Pollen – Web3oclock


In a powerful testament to this momentum, Hugging Face, one of the world’s leading open-source AI platforms, has acquired Pollen Robotics, a French startup specializing in modular humanoid robots. Though the acquisition amount remains undisclosed, the move is a significant one—not just in business terms, but also symbolically—as Hugging Face circles back to its French origins while reinforcing its global expansion in robotics and AI.

France is rapidly establishing itself as one of the most dynamic AI ecosystems in Europe. Once overshadowed by Silicon Valley and London’s tech dominance, France is now emerging as a powerhouse—driven by a potent mix of government backing, academic excellence, and a deep cultural embrace of open-source technology. With high-profile players like Mistral AI raising close to €500 million, and fast-growing startups such as Photoroom, Nabla, and Poolside turning heads globally, French AI innovation is no longer playing catch-up—it’s setting the pace.

Why Pollen Robotics Is a Game-Changer?

Founded in Bordeaux in 2016 by researchers Matthieu Lapeyre and Pierre Rouanet, Pollen Robotics is known for its commitment to open-source principles—making it a natural fit for Hugging Face’s community-first model. The company had earlier raised €2.5 million from backers including Bpifrance, the French public investment bank.

Their flagship product, Reachy, is a humanoid robot platform designed for education and research. The latest version, Reachy 2, is already being used at elite institutions like Cornell University and Carnegie Mellon University. With features like stereo vision, VR-based teleoperation, and spatialized audio, the robot offers high-end capabilities in a flexible, modular design. It is priced at $70,000, targeting labs and educational institutions aiming to explore the next frontier in robotics.

Hugging Face’s Broader Robotics Vision

This isn’t Hugging Face’s first step into the world of robotics. In 2023, the company collaborated with Pollen Robotics to launch Le Robot, an open-source assistant designed to perform basic household tasks. The success of that project prompted the formation of a dedicated robotics team at Hugging Face, led by Rémi Cadene, a former engineer on Tesla’s Optimus robotics team.

With the acquisition of Pollen Robotics, Hugging Face now plans to integrate its AI models with Reachy 2 hardware, allowing developers not just to use the robot, but to download and improve its codebase. This is a major step toward making intelligent, programmable robots accessible to the global developer community.

Hugging Face: A French-Born Global Leader

Hugging Face was founded in Paris in 2016 by Julien Chaumond, Thomas Wolf, and Clément Delangue. Initially launched as a chatbot app for teens, the company pivoted to become the “GitHub for machine learning,” offering a vast ecosystem of pre-trained AI models and open-source tools. Today, Hugging Face boasts over 1 million monthly active users, and has raised nearly $400 million from leading investors like Sequoia Capital, Google, Amazon, and Coatue.

Although its headquarters are now in New York, Hugging Face’s heart remains in France. Its Paris office is the company’s largest, home to over 70 of its 180 global employees, while another 50 are based across Europe. Co-founder Julien Chaumond has emphasized that a company’s impact is not defined by geography but by its community and values.

Why This Matters for France?

This acquisition isn’t just a strategic move—it’s a statement. France, once seen as a second-tier player in global tech, is now home to world-class talent, research institutions, and a growing investor ecosystem. Lower operational costs compared to Silicon Valley and the rise of hybrid work have made cities like Paris and Bordeaux prime hubs for innovation.

Startups like Hugging Face are showing that it’s not only possible to build globally competitive AI products from France, but that French companies can lead the charge. With Hugging Face actively investing in homegrown talent and now acquiring local innovators like Pollen Robotics, France’s transformation into a global AI superpower is accelerating.

What’s Next?

For Hugging Face, this deal opens up new frontiers in open-source robotics, combining its massive model library with real-world robotic applications. For France, it’s another milestone in its journey to becoming a top destination for AI and robotics investment.

The acquisition also signals a broader shift in the tech world: the era of decentralized, open-source-driven innovation is here—and France is at its center.

For more insights and updates on Metaverse, DeFi, Blockchain, NFT & Web3, be sure to subscribe to our newsletter. Stay informed on the latest trends and developments in the decentralized world.



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Tariffs May Help Fund US Bitcoin Reserve Buildup Says White House Advisor Bo Hines – Decrypt

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Tariffs May Help Fund US Bitcoin Reserve Buildup Says White House Advisor Bo Hines – Decrypt



The Trump administration’s sweeping tariffs, which have roiled global markets over the past few weeks, may just become instrumental to funding the U.S. Strategic Bitcoin Reserve without using taxpayer money.

While the extensive tariffs threatened and implemented over the past month have escalated and jolted crypto markets as the Trump administration pursues an “America First” trade policy, a key White House advisor thinks the revenues from it could be used to add to the country’s Bitcoin stash.

Bo Hines, executive director of the Presidential Council of Advisers on Digital Assets, said in a White House interview with Professional Capital Management’s Anthony Pompliano that the Trump administration is exploring several “budget-neutral” methods to get more Bitcoin.

“We’re looking at many creative ways, whether it be from tariffs or something else,” Hines said.

Hines’ ideas come after President Donald Trump signed an executive order that established the country’s creation of the Strategic Bitcoin Reserve last month. Data from Arkham tracking the U.S. stash shows it’s currently at 192,012 BTC.

Following Trump’s executive order, a separate document circulated from the Federal Register detailing a presidential directive requiring federal agencies to disclose all Bitcoin and digital asset holdings to the Treasury Secretary. That order’s deadline was last Saturday.

Hines adds that there is a “180-day landmark that’s on the horizon” as the federal agencies go through recommendations for acquiring more Bitcoin. “We’ll comb through all the reports and then we’ll produce a comprehensive piece of work,” Hines said.

Aside from the “creative” strategy of using tariff revenues for buying Bitcoin, Hines cites Senator Cynthia Lummis’s Bitcoin Act of 2025, which would revalue Treasury gold certificates from their outdated valuation of approximately $43 per ounce to reflect current market prices exceeding $3,000 per ounce.

Such an adjustment could free billions in value for Bitcoin acquisition without requiring congressional appropriations.

Treasury Secretary Besson and Commerce Secretary Lutnick join “many great actors” working through an inter-agency digital assets working group to develop acquisition strategies aligned with the administration’s goal of making the U.S. “the Bitcoin superpower of the globe,” Hines said.

“We’ll come together and flesh out some of these ideas and really get to the best solution,” he added.

Edited by Sebastian Sinclair

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25 Classic Crime Movies Ranked | MarkMeets Media

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    25 Classic Crime Movies Ranked | MarkMeets Media


    The Thrill of Crime: Exploring the 25 Best Crime Movies of All Time

    Crime movies have a unique allure, captivating audiences with their gripping narratives, compelling characters, and emotional depth. While real-life crime may not be everyone’s cup of tea, crime movies offer a diverse range of experiences—from escapism with anti-hero characters to thought-provoking tales that delve into the darker aspects of human nature. This article delves into the 25 best crime movies of all time, exploring their unique qualities, memorable performances, and enduring impact on the cinematic landscape.

    25. Ocean’s Eleven (2001)

    Directed by Steven Soderbergh

    Ocean’s Eleven (2001) stands as a rare example of a remake surpassing its original counterpart. The film’s plot revolves around assembling a team to steal $150 million from Las Vegas casinos in one night. Noteworthy for its improved tone, pacing, and an ensemble cast featuring George Clooney, Matt Damon, Brad Pitt, and Julia Roberts, the film successfully combines entertainment with a solid crime/thriller foundation.

    Release Date: December 7, 2001Director: Steven SoderberghCast: George Clooney, Cecelia Ann Birt, Paul L. Nolan, Carol Florence, Lori Galinski, Bernie MacRating: PG-13Runtime: 116 minutes

    24. The Cook, the Thief, His Wife & Her Lover (1989)

    Directed by Peter Greenaway

    The Cook, the Thief, His Wife & Her Lover takes audiences into the confines of a classy restaurant tainted by the presence of a villainous thief. Michael Gambon’s captivating performance as the titular thief sets the stage for a disturbing yet engrossing story that explores themes of murder, sex, abuse, and greed. This crime movie serves as a multi-layered critique of Britain’s political climate in the 1980s.

    23. Gangs of Wasseypur (2012)

    Directed by Anurag Kashyap

    Gangs of Wasseypur unfolds as an Indian crime epic spanning over five hours, exploring three generations of warfare between crime families in the city of Dhanbad. With influences worn proudly, the film remixes familiar elements in captivating ways, creating a unique and exciting cinematic experience that remains entertaining throughout its substantial runtime.

    22. Dog Day Afternoon (1975)

    Directed by Sidney Lumet

    Dog Day Afternoon showcases Al Pacino’s dynamic performance in a tense film based on a true story. The narrative follows a bank robbery gone awry, turning into a media sensation. The movie’s efficient pacing, engaging storyline, and Pacino’s compelling portrayal contribute to its status as a classic in the crime genre.

    Release Date: December 25, 1975Cast: Al Pacino, John Cazale, Penelope Allen, Carol KaneRating: RRuntime: 125 minutes

    21. White Heat (1949)

    Directed by Raoul Walsh

    White Heat stands out as a classic black-and-white gangster film from the 1940s, featuring James Cagney in a riveting performance. The film follows an intense criminal planning a heist, offering a explosive send-off to the crime movies of the 1930s and 1940s.

    20. The Untouchables (1987)

    Directed by Brian De Palma

    Set during the Prohibition era, The Untouchables provides a Hollywood depiction of Eliot Ness assembling a team to take down Al Capone. While not historically accurate, the film delivers a blast of entertainment with a stellar cast, flashy style, and a memorable score by Ennio Morricone.

    Release Date: June 3, 1987Rating: RRuntime: 119 minutes

    Read Next: Hunger Games: The Ballad of Songbirds and Snake Movie Review

    19. Rope (1948)

    Directed by Alfred Hitchcock

    Rope, one of Alfred Hitchcock’s underrated gems, unfolds as a tension-filled crime movie. The film follows two young men attempting the perfect crime, hiding a body and hosting a dinner party for the victim’s family and friends. Filmed in real-time to appear as a single shot, Rope is a technical marvel with a gripping narrative.

    18. Once Upon a Time in America (1984)

    Directed by Sergio Leone

    Sergio Leone’s final film, Once Upon a Time in America, serves as a massive achievement and a deconstructive farewell to a certain era. Spanning decades, the film explores the rise and fall of a group of friends turned successful bootleggers during Prohibition. Its disturbing portrayal of a criminal lifestyle contributes to its status as a masterpiece.

    Release Date: May 23, 1984Director: Sergio LeoneRating: RRuntime: 139 minutes

    17. Uncut Gems (2019)

    Directed by The Safdie Brothers

    Uncut Gems takes a unique approach, blending dark comedy, intense thriller, and a grim exploration of addiction. The film revolves around a compulsive jeweler’s relentless quest for the ultimate score, creating a frantic and stomach-churning narrative that sustains tension throughout its 2+ hour runtime.

    Release Date: August 30, 2019Directors: Ben Safdie, Joshua SafdieRating: RRuntime: 130 minutes

    16. L.A. Confidential (1997)

    Directed by Curtis Hanson

    La Confidential stands out as a neo-noir masterpiece, following three detectives in the 1950s solving a series of brutal murders. With unpredictable plot twists and a dark, gritty portrayal of Hollywood’s sleazy side, the film seamlessly blends film noir traditions with post-modern elements.

    Release Date: September 19, 1997Director: Curtis HansonRating: RRuntime: 138 minutes

    15. Badlands (1973)

    Directed by Terrence Malick

    In his debut feature, Terrence Malick crafts a classic of the crime genre with Badlands. The film follows two young lovers on the run after a murder, combining poetic visuals with shocking violence. Badlands remains a beautifully shot and emotionally resonant film, showcasing the talents of Sissy Spacek and Martin Sheen.

    14. City of God (2002)

    Directed by Fernando Meirelles and Kátia Lund

    City of God is hailed as one of the greatest Brazilian films, seamlessly blending a sprawling gangster narrative with a coming-of-age story. Spanning decades and focusing on characters living in a Rio de Janeiro favela, the film offers a moving portrayal of a challenging way of life.

    13. Chinatown (1974)

    Directed by Roman Polanski

    Chinatown stands as an iconic neo-noir crime mystery, set in 1930s Los Angeles. Jack Nicholson’s portrayal of a private detective entangled in a complex conspiracy involving murder and corruption adds to the film’s allure. With a perfect balance between clarity and mystery, Chinatown remains a classic in the genre.

    Release Date: June 20, 1974Director: Roman PolanskiRating: RRuntime: 130 minutes

    12. Double Indemnity (1944)

    Directed by Billy Wilder

    Double Indemnity, a classic film noir, continues to captivate audiences almost 80 years after its release. The film masterfully epitomizes the noir genre with its complex plot filled with betrayal, greed, and passion. As a formative film noir, Double Indemnity played a crucial role in defining the genre’s style and narrative conventions.

    11. Reservoir Dogs (1992)

    Directed by Quentin Tarantino

    Quentin Tarantino’s explosive debut, Reservoir Dogs, immerses viewers in the aftermath of a disastrous heist. The film, marked by its low budget and uncompromising narrative, explores the suspicion among surviving criminals. Stylish, violent, and distinctly Tarantino, Reservoir Dogs set the stage for the director’s illustrious career.

    10. Bonnie and Clyde (1967)

    Directed by Arthur Penn

    Bonnie and Clyde played a pivotal role in ushering in the New Hollywood movement of the 1970s. This stylish depiction of the titular duo’s exploits during The Great Depression challenged norms with its shocking violence and innovative editing. The film redefined American cinema, paving the way for more radical storytelling.

    Release Date: July 18, 1967Director: Arthur PennRating: RRuntime: 111 minutes

    9. Zodiac (2007)

    Directed by David Fincher

    Zodiac delves into the infamous unsolved case of the Zodiac Killer, offering a comprehensive exploration of the drama surrounding the investigation. Despite the unresolved nature of the case, David Fincher’s meticulous direction ensures a tense and engaging crime/mystery film that captivates audiences throughout its 2.5-hour runtime.

    Release Date: March 2, 2007Rating: RRuntime: 157 minutes

    8. High and Low (1963)

    Directed by Akira Kurosawa

    Akira Kurosawa’s High and Low transcends the samurai genre, showcasing the director’s versatility. The film follows a kidnapping case involving an executive’s son, offering a steady-paced narrative enriched by Kurosawa’s direction and stellar performances from Japan’s top actors. As a complex and rewarding crime film, High and Low stands as a masterpiece.

    Release Date: March 1, 1963Director: Akira KurosawaCast: Toshiro Mifune, Tatsuya Nakadai, Kyôko KagawaRating: NRRuntime: 143 minutes

    Read Next: Romantic Xmas Films

    7. Scarface (1983)

    Directed by Brian De Palma

    Scarface (1983) epitomizes the crime movie of the 1980s, exploring excess, greed, and the downfall of its main character, Tony Montana. Brian De Palma’s bombastic style and Al Pacino’s unforgettable performance create a morality play that embraces over-the-top elements while offering great pacing, memorable performances, and an iconic soundtrack.

    Release Date: December 9, 1983Cast: Al Pacino, Steven Bauer, Michelle Pfeiffer, Mary Elizabeth Mastrantonio, Robert Loggia, Miriam ColonRating: RRuntime: 170 minutes

    6. Fargo (1996)

    Directed by The Coen Brothers

    The Coen Brothers’ Fargo blends crime, drama, and dark comedy in a narrative set against the iconic backdrop of the American Midwest. With an unforgettable setting, quotable dialogue, and outstanding performances, including Frances McDormand’s Oscar-winning role, Fargo remains a thrilling and darkly funny classic.

    Release Date: April 5, 1996Directors: Joel Coen, Ethan CoenRating: RRuntime: 98 minutes

    5. The Departed (2006)

    Directed by Martin Scorsese

    Martin Scorsese’s The Departed unfolds a riveting cat-and-mouse game between the police and the Irish mob in Boston. With an ensemble cast featuring Leonardo DiCaprio, Matt Damon, and Jack Nicholson, the film skillfully navigates themes of identity, loyalty, and morality. The Departed earned Scorsese his long-awaited Academy Award for Best Director, solidifying its status as a crime masterpiece.

    Release Date: September 26, 2006Rating: RRuntime: 151 minutes

    4. Heat (1995)

    Directed by Michael Mann

    Heat is a crime epic that brings together Robert De Niro and Al Pacino in a tense game of cops and robbers. Michael Mann’s meticulous attention to detail, combined with intense shootouts and a complex narrative, elevates Heat to a level where it transcends the typical crime genre. The film’s realistic portrayal of the high-stakes world of crime and law enforcement has left an enduring impact on the genre.

    Release Date: December 15, 1995Director: Michael MannRating: RRuntime: 170 minutes

    3. The Godfather: Part II (1974)

    Directed by Francis Ford Coppola

    As the sequel to one of the greatest films ever made, The Godfather: Part II delves deeper into the Corleone family saga. The film weaves parallel narratives, exploring the rise of Vito Corleone and the reign of his son Michael. With exceptional performances, including Al Pacino and Robert De Niro, and Coppola’s masterful direction, The Godfather: Part II stands as a cinematic achievement that continues to influence filmmakers.

    Release Date: December 12, 1974Director: Francis Ford CoppolaRating: RRuntime: 202 minutes

    2. Pulp Fiction (1994)

    Directed by Quentin Tarantino

    Pulp Fiction is a cultural phenomenon that redefined cinema in the 1990s. Quentin Tarantino’s non-linear narrative, sharp dialogue, and eclectic soundtrack create a crime film like no other. With memorable characters and intertwining storylines, Pulp Fiction remains a cornerstone of postmodern cinema and a testament to Tarantino’s unique storytelling prowess.

    Release Date: October 14, 1994Director: Quentin TarantinoRating: RRuntime: 154 minutes

    1. The Godfather (1972)

    Directed by Francis Ford Coppola

    At the pinnacle of crime cinema stands The Godfather. Francis Ford Coppola’s masterpiece is a gripping portrayal of the Corleone crime family. Marlon Brando’s iconic performance as Vito Corleone and the film’s meticulous storytelling make it a timeless classic. The Godfather not only set the standard for the crime genre but also left an indelible mark on filmmaking as a whole.

    Release Date: March 15, 1972Director: Francis Ford CoppolaRating: RRuntime: 175 minutes

    Conclusion

    In the realm of crime movies, these 25 films stand as titans, each contributing something unique to the genre. From the gripping heists of Ocean’s Eleven to the intricate mafia sagas of The Godfather trilogy, these movies have left an enduring impact on cinematic storytelling. Directors like Martin Scorsese, Quentin Tarantino, and Francis Ford Coppola have shaped the landscape of crime cinema, infusing it with innovation, intensity, and unforgettable characters.

    As we reflect on these crime classics, it becomes evident that the genre is a tapestry woven with diverse threads—no two films are exactly alike. Whether exploring the gritty streets of Los Angeles or the lavish corridors of mafia power, each movie offers a distinct lens through which we examine the complexities of human nature, morality, and societal structures.

    So, the next time you find yourself in the mood for a thrilling cinematic experience, consider delving into the gripping narratives and compelling characters of these 25 best crime movies. Whether you’re a fan of heists, detective stories, or mafia dramas, this list offers a diverse selection that showcases the multifaceted nature of crime cinema. As the credits roll, you may find yourself captivated by the allure of the criminal underworld, reminded once again of the timeless thrill that crime movies provide.

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    Lee Clarke
    Business And Features Writer

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    GPT-4.1 is now available at Azure AI Foundry

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    GPT-4.1 is now available at Azure AI Foundry


    Azure AI Foundry and AOAI (Azure OpenAI Services) keeps on getting better all the time! The latest addition in Azure AI Foundry (as of April 14, 2025, yesterday) is the GPT-4.1 model, that has a generous 1M context window and cutoff day for June 2024! 1 million tokens understanding “memory”, which translates to roughly 1500 pages in a document! I wonder if the recently published new summarizing feature in Word uses this model with some trick, or just has a really clever trick on summarizing as it should support summarizing documents up to 3 000 pages..

    What’s New: GPT-4.1 Overview

    GPT-4.1 is the latest iteration of the GPT-4o model, trained to excel at coding and instruction-following tasks. This model will improve the quality of agentic workflows and accelerate the productivity of developers across all scenarios.

    Announcing the GPT-4.1 model series for Azure AI Foundry and GitHub developers

    The GPT-4.1 context window of 1 million tokens is very generous and awesome. As the model supports various features, it is very usable model for agents, coding and analysis scenarios. No, it is not a reasoning model, if you are looking for analysis focus but this one has a very large context window that does help to take large number of data into account. And this helps especially with coding. If you want to try it out, GPT-4.1 is already available for Copilot in GitHub for public preview.

    OpenAI GPT-4.1 is rolling out for all Copilot Plans, including Copilot Free. You can access it through the model picker in Visual Studio Code and on github.com chat. To accelerate your workflow, whether you’re debugging, refactoring, modernizing, testing, or just getting started, select “GPT-4.1 (Preview)” to begin using it.

    OpenAI GPT-4.1 now available in public preview for GitHub Copilot and GitHub Models

    What is 1M token context good for, are agents. As we are moving more and more towards the world where AI has a memory, and Responses/Assistants API has been implementing that already, the larger context counts. We can continue the conversation for a longer period with more information included.

    Key Features of GPT-4.1

    What else is included in the list? With 16K token output support there are

    Text, image processing

    JSON Mode

    parallel function calling

    Enhanced accuracy and responsiveness

    Parity with English text and coding tasks compared to GPT-4 Turbo with Vision

    Superior performance in non-English languages and in vision tasks

    Support for enhancements

    Support for complex structured outputs.

    I am very pleased to see superior performance listed for non-English languages and of course complex structured outputs with JSON mode will help big time with agents.

    From model descriptions page, details are

    Text & image input

    Text output

    Chat completions API

    Responses API

    Streaming

    Function calling

    Structured outputs (chat completions)

    What is odd, is that in Learn Max Output Tokens are 32k, and in the model description (when deploying) it is 16K.

    Now that I got the model deployed, it will be soon the time to start testing it.

    Pricing and testing

    Just keep in the mind, that the billing model is different for up to 128K tokens and to large one (up to 1M tokens) context inputs. At the moment, when I was writing this post, there wasn’t any information about the pricing in Azure OpenAI Services Pricing page. Also, I can’t see GPT-4.1-mini nor GPT-4.1-nano models yet in the catalogue. In addition to the standard model, you will get 1M context length with mini and nano as well, but with a lower cost (at the expense of efficiency).

    For more information, check out Microsoft’s announcement blog article about GPT-4.1. From the article some additional highlights:

    Supervised fine-tuning for GPT-4.1 and 4.1-mini is coming soon (this week)

    Improved instruction following: The model excels at following detailed instructions, especially agents containing multiple requests. It is more intuitive and collaborative, making it easier to work with for various applications.

    Enhanced coding and instruction following: The model is optimized for better handling of complex technical and coding problems. It generates cleaner, simpler front-end code, accurately identifies necessary changes in existing code, and consistently produces outputs that compile and run successfully.

    Just for a quick test, I attached 4.1 to a data source and asked about “create a detailed testing plan, that answers to all identified risks in the project”. There are just two documents: one about a risk management and one with identified risks.

    Another test I did, was to ask about improvements to this blog draft, based the plain text version and with a few attached pictures.

    And as this blog post was written with a flow, I didn’t use AI to generate the first draft. Asking for better grammar gave me plenty of advice.

    I fixed some of these, and that hopefully helped in the readability.

    These are just simple tests, but in time I will use this for more advanced scenarios.

    Published by Vesa Nopanen

    Vesa “Vesku” Nopanen, Principal Consultant and Microsoft MVP (M365 and AI Platform) working on Future Work at Sulava.

    I work, blog and speak about Future Work : AI, Microsoft 365, Copilot, Loop, Azure, and other services & platforms in the cloud connecting digital and physical and people together.

    I have 30 years of experience in IT business on multiple industries, domains, and roles.
    View all posts by Vesa Nopanen



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    $45 Billion Later: What Has Meta Really Built in the Metaverse? | NFT News Today

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    Billion Later: What Has Meta Really Built in the Metaverse? | NFT News Today


    Meta has poured a staggering $45 billion into its metaverse ambitions since 2020, creating one of tech’s most controversial investment stories. Despite this massive spending through its Reality Labs division, the company has struggled to generate meaningful revenue or widespread adoption of its virtual world technologies.

    Key Takeaways

    Meta’s Reality Labs has accumulated over $45 billion in losses since 2020, with Q1 2024 alone showing $3.85 billion in losses on just $440 million in revenue.

    While Quest headsets have sold 14.5 million units, Horizon Worlds has attracted only 300,000 monthly users, failing to compete with platforms like Roblox (230 million users).

    Meta recently split Reality Labs into two divisions focused on metaverse experiences and wearable technology, signaling a strategic shift.

    Competitors have built larger virtual ecosystems with far less investment, raising questions about Meta’s approach.

    The company is increasingly integrating AI with its metaverse strategy, potentially seeking a more viable path forward.

    The Financial Reality Behind Meta’s Virtual Dreams

    The numbers paint a sobering picture of Meta’s metaverse investment. Reality Labs has burned through over $45 billion since 2020, with losses that show no signs of slowing. In the first quarter of 2024 alone, the division lost $3.85 billion while generating just $440 million in revenue. This means the metaverse contributes only about 1% of Meta’s total sales despite consuming billions in development funds.

    To put this spending in perspective, Reality Labs’ quarterly losses exceed the entire development cost of Amazon Web Services, which required $3.7 billion over seven years. The division continues to spend at a rate of $10-15 billion annually, far exceeding the $5 billion cap that concerned shareholders have recommended.

    Hardware Success vs. Software Struggles

    Meta’s metaverse portfolio reveals a stark contrast between hardware achievements and software adoption. On the hardware side, the company has sold approximately 14.5 million Quest headsets through 2024, establishing itself as a leader in consumer VR hardware. Its Ray-Ban Stories Smart Glasses, while innovative, have seen limited consumer uptake.

    The software side tells a different story. Horizon Worlds, Meta’s flagship social VR platform, has attracted only about 300,000 monthly users according to 2023 data. This pales in comparison to traditional social media platforms and even other virtual worlds. User retention remains a significant challenge, with studies showing that 74% of U.S. adults either abandoned metaverse platforms within six months or never engaged with them at all.

    Enterprise-focused tools like Workrooms have failed to gain traction against established video conferencing platforms such as Zoom and Microsoft Teams, limiting Meta’s business-to-business potential in the space.

    The Competition Is Winning with Less

    While Meta dominates metaverse headlines and spending, other companies have built more successful virtual ecosystems with far less investment. The global metaverse market reached $94.1 billion in 2023 and is projected to grow to $2.35 trillion by 2032, but Meta isn’t capturing the lion’s share of this opportunity.

    Roblox has amassed 230 million users with its user-generated content platform, while Epic Games invested $1 billion in Fortnite to create a massive virtual ecosystem that attracts millions of participants. Both companies built these platforms organically, without the massive upfront investment Meta has made.

    The education sector shows particular promise in practical metaverse applications. Flight simulators and surgical training tools account for 12% of metaverse investments globally. However, Meta’s direct involvement in these practical applications remains minimal, suggesting missed opportunities in high-value verticals.

    Strategic Reorganization Signals a Shift

    In 2024, Meta initiated a significant restructuring that split Reality Labs into two distinct divisions: Metaverse (focusing on VR software and experiences) and Wearables (developing AR glasses and neural interfaces). This reorganization included halving the workforce of approximately 10,000 employees and shifting resources toward Meta AI and neural wristband technology.

    The development of Nazare AR glasses, targeted for 2026 release, indicates a strategic pivot from fully virtual to augmented reality experiences. This shift acknowledges the greater practical potential and market readiness for AR compared to VR, while also showing an increasing focus on AI integration with metaverse technologies.

    Trust and Security Undermine User Confidence

    Meta’s virtual worlds have been plagued by trust and security issues that undermine user confidence and investment potential. The record $2.4 million price for virtual land in Decentraland (2017) exemplifies the speculative bubble that formed around metaverse real estate.

    Public perception remains overwhelmingly skeptical, with 74% of adults believing the metaverse harms reality rather than enhancing it. The proliferation of scams has been particularly damaging, with approximately 2 million accounts closed in 2024 due to “pig-butchering” scams alone.

    The Securities and Exchange Commission has documented $12.6 billion in metaverse-related investment losses since 2022, highlighting the financial risk to consumers. A November 2024 crackdown on Southeast Asian scam networks further exposed moderation failures within Meta’s virtual spaces, damaging their reputation as safe digital environments.

    AI Convergence: Meta’s New Strategic Direction

    Meta is increasingly blending AI and metaverse strategies to breathe new life into its virtual world vision. The company’s open-source Llama 2 AI model now powers various metaverse interactions, while the forthcoming Movie Gen video generator (planned for 2025 launch) aims to create more immersive content with less human input.

    The company has allocated $10 billion for a Louisiana AI data center, underscoring its commitment to computational infrastructure. However, the natural gas-powered facility has drawn criticism for contradicting Zuckerberg’s climate pledges.

    This AI integration could reduce reliance on human-built virtual spaces, potentially offering a more sustainable path to metaverse development. By using AI to generate environments dynamically, Meta could address content scarcity issues that have limited Horizon Worlds’ appeal.

    Putting Meta’s Metaverse Investment in Perspective

    To appreciate the scale of Meta’s commitment, consider that the $45 billion metaverse expenditure equals Nicaragua’s entire GDP. This massive bet has produced mixed results across different sectors, with approximately 17% going to IT infrastructure, 12% to education applications, and 9% to healthcare solutions.

    One clear achievement is the mainstreaming of VR technology, with 14% of U.S. households now owning VR headsets. However, Meta has failed to dominate virtual spaces as thoroughly as it did social media, raising questions about its strategic approach and execution.

    The next two to three years will likely determine whether AI-enhanced wearables and neural interfaces can redeem this enormous investment or if Meta’s metaverse gamble will join the ranks of ambitious but ultimately unsuccessful tech experiments like Google Glass.

    Can Zuckerberg’s Vision Overcome Financial and Public Skepticism?

    Activist investors have urged 20% workforce cuts and $5 billion spending limits on metaverse projects, reflecting growing shareholder concern about the return on investment. Meta’s late 2024 strategy adjustments reveal a fusion of metaverse and AI approaches that may present a more viable path forward.

    Sustainability advocates continue to criticize the energy-intensive data centers required to power Meta’s vision, adding environmental concerns to financial ones. Critics frequently compare the metaverse push to failed tech experiments like Google Glass, suggesting that Meta misread market readiness for fully immersive digital experiences.

    Despite these criticisms, Meta maintains that its metaverse investments represent the foundation for a transformative digital future. Whether this expensive vision will eventually pay off remains the $45 billion question hanging over the company’s future.



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    Bold and the Beautiful: Brooke Exposes Pitiful Picture of Taylor This Week

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      Bold and the Beautiful: Brooke Exposes Pitiful Picture of Taylor This Week


      Bold and the Beautiful has a distraught Brooke Logan hitting Taylor Hayes where it hurts this week on the CBS soap. Taylor seems to lurk around every corner these days. This prompts Brooke to take a page out of the world-renowned doc’s book to shove in her face. And it seems this knocks Taylor down a few notches as B&B rolls along.

      Bold and the Beautiful: Brooke Logan Calls Out Taylor Hayes

      Bold and the Beautiful has Brooke Logan (Katherine Kelly Lang) pointing out something to Taylor Hayes (Rebecca Budig) that sounds awful. She tells Taylor that she must have a lot of time on her hands as she’s hanging around Forrester Creations all day. But that’s not all.

      Bold and the Beautiful Spoilers: Taylor Hayes (Rebecca Budig) - Brooke Logan (Katherine Kelly Lang)
      B&B | CBS

      It’s as if Taylor has become a fixture at the workplace, but Hope figures out what she is doing.

      So, when they come face-to-face again around the halls of FC, Brooke delivers another truthful fact to Taylor. But this time Taylor has no rebuttal for Brooke, probably because she realizes that her rival is correct.

      Brooke’s delivery is sarcastic, asking her arch-enemy if she’s “taking up shop” at FC. But it looks like Taylor gets it, despite trying to defend herself against the Logan matriarch.

      B&B: Brooke Makes a Stand

      Bold and Beautiful has Taylor Hayes so worried about Ridge Forrester (Thorsten Kaye) going back to Brooke that she acts like a watchdog, who pops up all day long. Brooke hit the nail on the head when she suggested to Taylor that is what she is doing – keeping tabs on her.

      Taylor pushes back and suggests Brooke was trying to ambush Ridge in her lingerie when she came into the fitting room. Brooke reminded her where she was – at a fashion house, and fittings go on all day long.

      But Taylor is not all wrong. Of course, that is what Brooke is up to, trying to lure Ridge back to her. But she was also correct by saying she was waiting to do a fitting with Ridge.

      Bold and the Beautiful: Taylor Almost Pitiful?

      Bold and the Beautiful has Brooke Logan calling it as she sees it. And she sees Taylor Hayes worried about losing Ridge. So instead of Taylor secure enough to think Ridge wants to stay with her, she makes sure Brooke can’t have time alone with Ridge to entice him back. So this suggests Taylor knows it could happen – she could lose the dressmaker to his ex.

      So, while Taylor seemed just fine with Brooke throwing her sarcastic digs at her about taking up shop at FC, it has to hit her on some level. Taylor’s excuse for today is that she had a client cancel.

      But Brooke suggests there’s more to it than a cancellation. She accuses Taylor of hanging around FC to keep an eye on her.

      Then Brooke asks her what they call it in Taylor’s line of work – the paranoia Taylor displays around losing Ridge. So, at that moment Taylor looked almost pitiful.

      Bold and the Beautiful fans suggest she is so paranoid that Ridge will cave in around Brooke that she fears the two being alone. But Brooke hit it home when she told Taylor that she knows very well what always happens.

      Ridge goes back to Brooke every time, and Brooke believes this time is no different. But Taylor Hayes has nothing to say about this, as Brooke Logan is telling the truth on the CBS soap – Ridge always goes back to his Logan.

      Head back to Soap Dirt for the latest Bold and the Beautiful spoilers.



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