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Beyond the screen: Web3 and NFTs are innovating Hollywood | Opinion
By Andrea Berry (Theta Labs)
November 18, 2023
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As the dust settles on the recent SAG-AFTRA strike, Hollywood finds itself at a pivotal moment, a turning point that demands not just reflection but action. The labor dispute, which echoed from July to November 2023, shone a harsh light on the entrenched issues plaguing the industry. Central to these were the calls for fair compensation and the ethical quandaries brought forth by the use of artificial intelligence in digital performances.

You might also like: Beyond the hype: Web3 is in dire need of a rebrand | Opinion

This strike, rippling across global movie and TV productions, was a clear call for Hollywood to embrace innovation ethically. The resolution of this conflict did more than end a standoff and marked the beginning of a transformative chapter. This is a chapter where the adoption of emerging technologies like web3 and NFTs are crucial in addressing systemic challenges and redefining the industry’s future.

Web3 and NFTs invite Hollywood to be at the forefront of this change, urging them to move beyond conventional approaches to distribution and content creation. There is a path to reshape the very essence of the industry, fostering a fairer, more equitable relationship between creators, their work, and audiences.

Lights, camera, action

In the landscape of modern Hollywood, NFTs are rapidly evolving from a niche novelty to a cornerstone of audience engagement and content distribution. These digital tokens are currently being used as exclusive access passes, offering viewers a gateway to a world of unique content experiences. Imagine owning an NFT that not only signifies ownership of a digital asset but also unlocks a realm of exclusive behind-the-scenes content, special director’s cuts, or even access to virtual events with stars and creators. This isn’t futuristic speculation. It’s a reality unfolding right before our eyes. Studios leveraging NFTs are enhancing viewer engagement by transforming passive viewing into an interactive, immersive experience.

The potential of blockchain technology in personalizing streaming experiences is vast and largely untapped. With its ability to securely store viewer preferences and histories, blockchain can tailor content recommendations to individual tastes with unprecedented precision. The possibilities for customization are endless, from choosing character arcs to influencing plot developments. This changes the user’s experience from watching a story unfold to being part of the storytelling process.

Studios at the forefront of this revolution understand that embracing web3 and blockchain is a strategic move and a commitment to shaping the future of storytelling. By adopting these technologies, they are not just staying ahead in a rapidly evolving digital landscape but redefining what it means to be a leader in the entertainment industry. Adopting web3 and NFTs is financially astute and a bold statement of vision and innovation.

Critics might argue that these technologies need to be simplified or early in their development to have a real impact. However, the studios that recognize their potential and act swiftly will be the ones to pave the way for a new era of storytelling, being a part of a cultural and philosophical renaissance in entertainment.

It’s not a picture

Integrating web3 into viewer loyalty programs transforms the traditional model, offering a level of personalization that conventional systems can’t match. Critics might question the necessity of such an advanced approach, but the reality is that blockchain brings a unique value to viewer engagement. By tracking interactions, studios can provide rewards like exclusive NFTs that open doors to VIP events or virtual interactions with stars, thereby enhancing viewer retention and community building in ways previously unimaginable.

Studios venturing into branding and merchandising with NFTs might be a leap into uncharted waters. Yet, this strategy of blending digital and physical experiences offers untapped potential for audience engagement. Digital collectibles can act as gateways to exclusive real-world experiences, creating a synergy between the allure of the digital and the tangibility of the physical. Although skeptics may see risks in alienating traditional collectors, the reality is that this approach elevates merchandise from mere items to experiences, deepening audience connection to the content.

The integration of NFTs into the collectible market introduces a new dimension of authenticity and exclusivity. The Steve McQueen NFT collection serves as a prime example of how web3 and NFTs are reshaping memorabilia in Hollywood. While there are concerns about accessibility for traditional collectors or less tech-savvy fans, the addition of NFTs broadens the scope of fan engagement, transforming collectibles into valuable, experiential assets.

The fusion of digital and traditional merchandise marks a strategic shift in how studios approach branding. Embracing cross-branding collaborations, companies such as Pog, the iconic ’90s milk-cap game, have expanded into the web3 space. Pog’s history of partnering with major brands like Disney, Pokemon, and Barbie demonstrates the power of such collaborations. While traditionalists may perceive this move into web3 as adding complexity to consumer interactions, it actually reflects and caters to the changing preferences of consumers, crafting a holistic brand experience that connects with contemporary audiences.

Just the first act

The resolution of the SAG-AFTRA strike represents a critical turning point for Hollywood, underscoring the urgency for studios to integrate web3 and NFTs. This evolution isn’t simply about adopting new technologies; it’s about weaving a rich narrative of innovation and inclusivity into the very fabric of cinema. Studios that hesitate, anchored to traditional methods, risk being overshadowed in this vibrant era. Conversely, those who embrace these technologies are not merely adapting to change; they are spearheading a cultural revolution. They are setting the stage for a future where cinema transcends traditional boundaries, empowering every creator and captivating every viewer.

This is not the conclusion of Hollywood’s story but the beginning of its most exciting chapter. It is a chapter where the lines between creator and audience blur, stories are not just told but lived, and the magic of cinema intertwines seamlessly with the marvels of technology. As we embark on this journey, let’s not view web3 and NFTs as mere tools, but as keys to unlocking a world of boundless creativity and connection.

In embracing this new era, Hollywood has the opportunity to redefine not just how stories are told but how they are experienced. It’s a chance to reimagine the industry as a thriving ecosystem of innovation, collaboration, and community. This is the first act in Hollywood’s most ambitious production yet, a narrative that promises to captivate, inspire, and transform. Let the cameras roll on this new age, where technology and art merge to write the future of entertainment.

 
~ Andrea Berry (as the head of business development at Theta Labs)
 

Andrea Berry is a seasoned online video strategist with over 15 years of experience in transformative media partnerships. Her early successes include helping to launch Qello Concerts, the first direct-to-consumer live-music OTT service, later transforming it into Qello Media Services and Vimeo’s OTT channels offering across various industries as their first strategic sales director for their enterprise. Currently, as the head of business development at Theta Labs, Andrea leverages her expertise in online video and blockchain to drive strategic partnerships and growth opportunities for the company. She helps enterprises take advantage and lean into the opportunities web3 presents.

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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an “unauthorized third party” reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself.

Revolut said that it complied with the request “under the reasonable belief that it was an authentic government agency request” – and only later found out that it was not.

Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities.

Revolut said that only a “limited” number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

The story broke on September 11 when Revolut customers started receiving an email notice about a data leak, and the news was picked up by media outlets the following day.

Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

The reason this is a recurring problem is that companies are keeping highly sensitive information about their customers’ identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties – either in response to valid legal requests, or, as in the case of Revolut, fake ones.

One reason for this is know your customer (KYC) and anti-money laundering (AML) rules. Revolut’s current UK customer privacy notice spells it out: the company generally keeps personal data of UK customers for no more than seven years after the relationship ends, and sometimes longer – for legal reasons.

This means that even if you close your account, your identity documents don’t disappear.

And while the incident with Revolut happened in the financial sector, it’s by no means the only one that requires customers to hand over sensitive identity information. Discord, a popular chat service, said in an October 9, 2025 security update that government ID photos of approximately 70,000 users may have been exposed after a third-party customer service provider got hacked.

This was not a financial service, nor the same type of attack. But the result was similar – because the underlying business process was the same: requiring and storing sensitive identity documents. In the case of Discord, these were used to review age-related appeals.

It’s hard to do anything about a copy of your old passport, or a photo of your face, or a record of your past transactions. These can be used to identify and profile you, and can be used to carry out targeted fraud. And this can happen even if the initial disclosure didn’t result in financial loss.

The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So… how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come from SmartAsset (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And as Visual Capitalist notesMassachusetts sits at the very top of that list. Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having the second-smallest population of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite the wide range in living costs across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky. The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
 
That movement is decentralized AI.
 
Why Decentralized AI Exists
 
The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
 
Why This Matters for Robotics
 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
 
This is where decentralized systems become interesting.
 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
 
That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
 
In other words, the pieces are starting to appear.
 
Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
But Here's the Reality
 
Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

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