For years, cryptocurrency has been described as a parallel financial system operating outside traditional institutions. This week, a federal jury delivered a reminder that the distance between the old world and the new one is far smaller than many people think.
Carl Rinsch, the Hollywood director behind the 2013 film 47 Ronin, was found guilty of defrauding Netflix out of $11 million. Prosecutors said the money, intended to complete a science fiction television series, was instead diverted into personal accounts and used for speculative investments, including cryptocurrency, along with luxury purchases.
The verdict closes a case that began quietly during the pandemic era, when streaming platforms were spending aggressively and oversight struggled to keep pace with remote production and fast moving digital finance.
Netflix hired Rinsch in 2018 to produce a series originally titled White Horse, later renamed Conquest. Over two years, the company paid his production firm roughly $44 million. In 2020, Rinsch requested an additional $11 million, telling Netflix the funds were necessary to finish the project.
According to prosecutors, the money never went toward production.
Instead, the funds were moved through multiple bank accounts before being consolidated into a personal brokerage account. Within months, more than half of the money was lost on securities trading. What remained was then pushed into increasingly speculative territory.
Court filings show that Rinsch used part of the money to trade cryptocurrency, including Dogecoin. An earlier investigation reported that he turned roughly $4 million into $27 million during the height of the 2021 crypto boom. That windfall did not stabilize the project. It accelerated his spending.
Prosecutors detailed millions of dollars spent on luxury furniture, high end watches, credit card bills, a Ferrari, and multiple Rolls Royce vehicles. Netflix ultimately canceled the series in 2021, writing off the entire $55 million it had invested. None of the money has been recovered.
The jury convicted Rinsch on one count of wire fraud, one count of money laundering, and five counts of transacting with illicitly obtained funds. He faces a potential sentence of up to 90 years in prison and is scheduled to be sentenced in April 2026.
At first glance, the case looks like a familiar Hollywood story about excess and entitlement. But it also reflects something more structural about the past decade.
Crypto did not cause this fraud. It simply fit into it.
The case illustrates how speculative finance has become normalized across industries that once operated far from trading screens. Entertainment executives, tech founders, influencers, and creators have all been encouraged to view capital not as something to steward, but as something to flip. In that environment, the line between investment, gambling, and misappropriation grows thin.
Federal prosecutors emphasized this point at the end of the trial, noting that speculative crypto trading was treated no differently than any other misuse of investor funds. The technology did not create a loophole. It became another channel.
For Netflix and other major studios, the case lands during a period of tightening budgets and renewed scrutiny over how money flows through creative projects. For the crypto industry, it is another reminder that digital assets do not exist outside the legal system, even when they move faster than it.
And for the public, the story reveals how easily speculative culture has spread into places that once felt insulated from it. Crypto did not remain at the margins. It followed money wherever oversight was weakest.
Related Laterstack Stories
Inside the Quiet Rise of Crypto Casinos and the New Gambling Wild West
Coinbase Reopens in India, Plans Fiat On-Ramp for 2026
Crypto trail exposes Streameast, world’s biggest illegal sports streaming empire
For inquiries, tips, or submissions: hello@laterstack.com
Quantum computing has spent years living in theory papers, lab experiments, and corporate road maps. This week, it moved a step closer to public consequence.
Google announced a partnership with the United Kingdom’s National Quantum Computing Centre that will allow British researchers to access its latest quantum processor, known as Willow. Rather than keeping the chip confined to internal experiments, Google is opening it to outside proposals, inviting scientists to test whether quantum computing can finally solve real world problems that conventional computers cannot.
The move signals a shift in how quantum technology is developing. Instead of competing quietly behind closed doors, major players are beginning to treat quantum computing as shared infrastructure, similar to how cloud computing expanded in its early years.
Google’s Willow chip, first unveiled in 2024, is considered one of the most advanced quantum processors currently available. Quantum computers operate differently from traditional machines, using principles of particle physics rather than binary logic. In theory, this allows them to perform certain calculations exponentially faster, particularly in areas like molecular simulation, materials science, and complex optimization problems.
Until now, that promise has remained largely experimental.
By granting UK researchers access through an open competition, Google and the national lab are attempting to answer a practical question that has hovered over quantum computing for more than a decade. What is it actually useful for?
Researchers whose proposals are accepted will work alongside engineers from Google and the UK quantum lab to design and run experiments directly on the Willow processor. The goal is not just academic progress, but discovery of applications that could eventually translate into industry, medicine, or national infrastructure.
According to Professor Paul Stevenson of the University of Surrey, the partnership puts UK researchers in an unusually strong position. Access to cutting edge quantum hardware remains rare, and most scientists work with simulations rather than real machines. That gap has slowed progress across the field.
The collaboration also benefits Google. Quantum computing requires expertise across physics, mathematics, and engineering, and academic researchers often explore ideas companies would not prioritize on their own. Opening Willow to external use allows Google to test the chip’s limits while accelerating innovation it does not have to fully direct.
A crowded race with long timelines
Google is not alone. Amazon, IBM, and several specialized firms are racing to develop practical quantum computers. In the UK, companies like Quantinuum, Quantum Motion, ORCA, and Oxford Ionics already operate machines hosted by the National Quantum Computing Centre.
Quantinuum, which has major operations in Cambridge and the United States, reached a valuation of roughly $10 billion last year. That figure reflects growing confidence that quantum computing will eventually move beyond theory, even if the timeline remains uncertain.
Some experts believe machines capable of meaningful real world impact could emerge within the next decade. Others caution that breakthroughs often arrive slower than expected. What has changed is the tone. Quantum computing is no longer discussed as a distant future, but as a field entering its proving phase.
Dr Michael Cuthbert, director at the National Quantum Computing Centre, said the partnership could accelerate discovery in areas such as chemistry, life sciences, materials, and fundamental physics. These are domains where classical computers struggle because the number of variables grows too large to handle efficiently.
Government bets and economic expectations
The UK government has made quantum computing a strategic priority. Officials have committed £670 million to support the sector as part of the country’s broader industrial strategy. Estimates suggest quantum technologies could contribute £11 billion to the UK economy by 2045.
Those projections are ambitious, and not guaranteed. However, they reflect a broader recognition that computing power shapes economic power. Just as early investment in the internet and cloud infrastructure paid dividends decades later, governments now see quantum computing as a long term wager on national competitiveness.
What remains unresolved is whether quantum computing will follow the same path as artificial intelligence. AI moved rapidly from research labs into everyday life once hardware, data, and incentives aligned. Quantum computing faces harder physical constraints, and its use cases are narrower.
Still, access matters. Technologies mature faster when more people can test them, break them, and question their limits.
For now, Willow is not changing daily life. But it represents a transition point. Quantum computing is beginning to leave the closed world of specialists and enter a phase where outcomes, not promises, will determine its future.
Related Laterstack Tech Stories
Erbium Qubits Could Bring Quantum Networks Straight Into Today’s Internet
Quantum Navigation Systems Could Change How Every Country Moves and Fights
Researchers achieve breakthrough in quantum error correction with scalable neutral atom architecture
For inquiries, tips, or submissions: hello@laterstack.com
For decades, gambling was something that happened in specific places under visible rules. Casinos required identification. States set limits. Regulators watched closely. Access involved friction, distance, and oversight.
Crypto casinos removed all three.
What began as small offshore websites has grown into a multibillion dollar gambling economy operating in plain sight across social media platforms. These sites allow users to gamble using cryptocurrency on slot machines, sports, and casino games, often without meaningful identity checks and outside the reach of national regulators.
For many young users, especially those who grew up online, these platforms did not feel illegal or hidden. They felt normal.
The shift did not happen overnight. Crypto casinos took advantage of two things regulators were slow to respond to. The first was cryptocurrency itself, which allowed users to bypass banks, payment processors, and traditional anti money laundering controls. The second was social media, which turned gambling into content rather than an activity that required physical presence.
As platforms like Twitch and YouTube grew, so did livestreaming. Viewers watched influencers gamble in real time, reacting emotionally to wins and losses while encouraging audiences to join in. When Twitch banned crypto casino promotion in 2022, the industry did not retreat. Instead, it adapted. Stake and its partners launched Kick, a streaming platform with fewer restrictions, built specifically to host gambling content.
This ecosystem runs on affiliates. Anyone can sign up to promote a casino and earn a percentage of the wagers placed by people they recruit. Streamers are given referral codes, free gambling credit, or direct payments in exchange for constant exposure. Some earn thousands per day. Others lose money trying to build an audience. The platform profits either way.
At the top are celebrity endorsements and multimillion dollar sponsorships. Below them are large streamers who earn six figures annually from a mix of guaranteed payments and affiliate commissions. At the bottom are thousands of smaller creators gambling for hours with their own money, hoping attention will turn into income.
The structure encourages excess. Louder reactions drive views. Bigger bets attract followers. Risk becomes performance. Losses are part of the show.
For young viewers, many of whom are under 18, the message is not delivered directly. It is absorbed. Gambling is framed as a path to money, status, and freedom from traditional work. The risks are invisible. The losses happen quietly.
Identity verification on many crypto casinos remains weak or easily bypassed. Teenagers use false information, virtual private networks, or accounts purchased from third parties. Some are coached in real time by streamers or online communities on how to avoid detection.
Self exclusion systems, a cornerstone of regulated gambling, are often ignored. Players who attempt to ban themselves find new sites or receive messages encouraging them to return. The system is built for retention, not restraint.
Regulators have struggled to respond. Gambling laws are fragmented by state and country. Crypto casinos operate offshore, move quickly, and shift branding when pressure mounts. Lawsuits and cease and desist letters move slowly. Platforms move faster.
The result is a market that resembles an earlier internet era. Fast growth, loose rules, and profits driven by scale rather than sustainability. The cost is deferred. Addiction, financial loss, and mental health damage surface later, often after the audience has moved on.
Crypto casinos are not just exploiting loopholes. They are exploiting attention. They understand how young people consume media, how communities form online, and how influence spreads faster than regulation.
This is not a story about technology alone. It is about incentives. When money flows toward engagement at any cost, the system rewards whatever keeps people watching, betting, and returning.
The wild west does not announce itself. It looks like freedom at first.
Related Laterstack Stories
For inquiries, tips, or submissions: hello@laterstack.com
SpaceX is reportedly preparing a secondary share sale that could value Elon Musk’s rocket company at $800 billion, according to the Wall Street Journal. This would double its most recent $400 billion valuation and surpass OpenAI, making SpaceX the most valuable private company in the United States.
The scale of the offering has not been disclosed, and SpaceX has not provided a comment.
Mega-Valuations in Private Markets
The potential $800 billion valuation reflects the growing trend of mega-valuations in private markets, where startups achieve public-market-scale valuations without going public. Companies like OpenAI, currently valued at $500 billion, and Anthropic, which surged to $350 billion after major investments from Microsoft and Nvidia, highlight how secondary sales provide liquidity for investors while avoiding the scrutiny of quarterly earnings reports.
These secondary offerings allow founders and early investors to cash out while keeping companies private and maintaining operational flexibility.
SpaceX’s Market Dominance
Founded in 2002, SpaceX dominates commercial rocket launches and operates Starlink, its satellite internet service with over 8 million customers worldwide as of November 2025. The company’s dual focus on space exploration and global connectivity has made it a key player in both commercial and government aerospace sectors.
Elon Musk’s vision for SpaceX combines ambitious technological goals, like reusable rockets, with commercial viability, as evidenced by Starlink’s rapid expansion and growing customer base.
Why This Matters
If the secondary sale goes through, SpaceX will set a new benchmark for private company valuations in the U.S., surpassing tech and AI rivals. It also underscores the increasing value of space-related ventures in the private sector, as investors anticipate growth in satellite internet, commercial launches, and interplanetary exploration.
Mega-valuations like this highlight the intense competition among private companies in technology and space, signaling a new era where innovation and market dominance can occur outside public markets.
Related Laterstack Sensational Tech Stories
EU Slams Elon Musk’s X with €120M Fine Over “Deceptive” Blue Check System
Meta Reportedly Delays Mixed Reality Glasses Until 2027 as XR Strategy Shifts
For inquiries, story tips, or submissions: laterstack@proton.me
Max Hodak, co-founder of Neuralink, is now leading Science Corp, a startup aiming to push the boundaries of brain-computer interfaces (BCIs) and human cognition. The company is developing technologies that could restore vision, enhance neural function, and even explore the engineering of consciousness itself.
Since founding Science Corp, Hodak has raised $260 million and brought on former Neuralink engineers to tackle ambitious projects ranging from retinal implants to optogenetic gene therapies.
From Neuralink to Science Corp
Hodak, who began programming at age six, co-founded Neuralink with Elon Musk in 2016 and managed day-to-day operations. Drawing on that experience, he launched Science Corp in 2021 with a small team of ex-Neuralink colleagues.
The startup’s early focus is on practical, revenue-generating applications while building long-term capabilities for ambitious neuroscience research.
Prima Retinal Implant Restores Vision
Science Corp’s first product, Prima, is a retinal implant smaller than a grain of rice. Combined with camera-equipped glasses and a portable battery, it restores vision for patients with advanced macular degeneration.
In clinical trials with 38 patients, 80 percent regained the ability to read fluently, two letters at a time. Science Corp acquired Prima from Pixium Vision, refined the technology, and submitted the results for European approval. Hodak anticipates a summer launch in Europe, with potential FDA approval for the U.S. to follow.
At an initial cost of around $200,000 per patient, the technology could become profitable with as few as 50 procedures per month.
Next-Level Innovation: Gene Therapy and Neural Engineering
Beyond retinal implants, Science Corp is exploring optogenetic gene therapy, which makes neurons light-sensitive and controllable without electrodes. Hodak claims their approach uses state-of-the-art proteins and targets the correct cell layers for effective results.
Science Corp has also tested a proof-of-concept device in mice, a waffle-like scaffold implanted on the brain surface with engineered neurons. These neurons integrate with existing circuits and have demonstrated learning capabilities in preliminary experiments.
The Ultimate Goal: Engineering Consciousness
Hodak sees brain-computer interfaces as more than medical tools they are steps toward understanding and potentially engineering consciousness. He predicts that by 2035, biohybrid neural interfaces could be widely available to patients, creating profound changes in human cognition and health.
The long-term vision includes extending cognitive function, connecting multiple brains, and even moving human consciousness across substrates. Hodak warns that these technologies could initially be accessible mainly to wealthy individuals, raising ethical and economic concerns around cognitive inequality.
Why Science Corp Matters
Science Corp is at the intersection of biotech innovation, neuroscience, and human augmentation. By combining BCIs, retinal implants, gene therapy, and engineered neurons, the company could transform healthcare, human capability, and society. Hodak’s focus on commercialization alongside research ensures that the technology reaches patients while preparing for the next generation of neural interfaces.
Related Laterstack Sensational Tech Stories
EU Slams Elon Musk’s X with €120M Fine Over “Deceptive” Blue Check System
Apple Loses Top Design Executive Alan Dye to Meta in High-Stakes Move
For inquiries, story tips, or submissions: laterstack@proton.me
In a historic first under Europe’s Digital Services Act (DSA), the European Commission has fined Elon Musk’s X a whopping €120 million ($140M) for misleading users with its controversial “blue checkmark” verification system.
Once a symbol of credibility for journalists, celebrities, and public figures, the blue checkmark now merely signals that a user subscribes to X Premium, a paid service. The EU called the system “deceptive”, noting that anyone meeting minimal requirements, such as a profile picture or phone number, can buy verified status.
“This violates the DSA’s rules on deceptive design,” the Commission said. Users are left vulnerable to scams, impersonation, and manipulation, as the checkmark no longer guarantees authenticity.
Advertising Transparency and Data Access Also Under Fire
The fine isn’t just about blue checks. The EC found X’s ad repository fails DSA standards, lacking critical details like who paid for ads or their content. Researchers also face barriers to accessing public data, preventing independent studies on systemic online risks.
Henna Virkkunen, EU Executive VP for Tech Sovereignty, Security, and Democracy, slammed X:
“Deceiving users with blue checkmarks, obscuring information on ads, and shutting out researchers have no place online in the EU.”
X now has 60 days to propose fixes for the blue check issue and 90 days for ad and data transparency compliance, with potential fines of up to 6% of global annual turnover for confirmed breaches.
What This Means
This is a wake-up call for social media platforms worldwide: deceptive features, opaque advertising, and restricted data access won’t be tolerated in Europe. Musk’s X faces intense scrutiny as regulators push back against what they call dark patterns in tech design.
For users, it’s a reminder that paying for a “verified” badge doesn’t mean what it used to, and for tech companies, it’s a signal that transparency and authenticity matter more than ever.
For More Laterstack Stories:
Parents Say School Issued iPads Are Fueling Chaos. Los Angeles Schools Now Face a Growing Revolt
Meta Reportedly Delays Mixed Reality Glasses Until 2027 as XR Strategy Shifts
For inquiries, story tips, or submissions: laterstack@proton.me
A massive collection of AI-generated images, including over 1 million explicit photos and videos, was left accessible online due to a misconfigured database. The exposure, discovered by security researcher Jeremiah Fowler, involved AI image tools used by multiple platforms, including MagicEdit and DreamPal.
The majority of the images depicted nudity, with some showing real people manipulated without consent, and disturbing reports suggested that images involving minors may also have been included. The database, which was linked to the influencer marketing firm SocialBook, was adding roughly 10,000 new images per day before being secured.
How the Breach Happened
Fowler discovered the vulnerability in October 2025, noting that the exposed database contained primarily explicit content. Some images were entirely AI-generated, while others were hyperrealistic depictions based on actual people. MagicEdit’s AI tools allowed users to modify images including nudifying them or swapping faces, raising significant privacy and safety risks.
“This isn’t just a technical problem—it’s about innocent people being abused online,” Fowler said. “These tools can be weaponized for harassment, blackmail, or worse.”
After Fowler reported the issue, the AI startup behind MagicEdit and DreamPal took the database offline, suspended app access, and launched an internal investigation with legal counsel. Both apps were subsequently removed from the Apple App Store, and were not available on Google Play.
Broader Implications
The incident highlights a growing cybersecurity risk in AI platforms. AI tools that manipulate personal images can be misused for sexual harassment, exploitation, or illegal content creation, including child sexual abuse material (CSAM). Security experts say startups must implement rigorous content moderation, beyond simple consent pop-ups, to prevent misuse.
Adam Dodge, founder of EndTAB (Ending Technology-Enabled Abuse), warned that the proliferation of AI nudify services exposes systemic problems: “The sexualization and control of women’s and girls’ bodies online is being supercharged by AI, and startups need accountability and trust measures from day one.”
DreamX, the company behind the apps, said it enforces filtering and moderation tools, including AI-based prompt review, and emphasized that CSAM is not tolerated under any circumstances. Still, experts argue that technical safeguards alone cannot fully prevent malicious use.
Why Cybersecurity Professionals Should Care
Exposed AI databases can become vectors for privacy violations, blackmail, and harassment.
Startups need proactive content-moderation frameworks, not reactive measures.
AI’s ability to generate hyperrealistic images magnifies risks for nonconsensual imagery.
Regulatory and legal implications are growing, and companies must adhere to strict safety and compliance standards.
This case serves as a warning that as AI technology advances, cybersecurity and privacy protocols must evolve just as fast to protect users.
Related Laterstack Cybersecurity Stories
Google Confirms Hackers Stole Data From 200 Companies via Gainsight
US Border Patrol Surveillance, Massive DDoS Attacks, and FBI Spying Make Headlines
For inquiries, story tips, or submissions: laterstack@proton.me
At just 24, Carina Hong has convinced some of the brightest minds in AI to leave Meta and join her startup, Axiom Math. The company aims to build an AI capable of advanced mathematical reasoning what Hong calls an “AI mathematician.”
Since founding Axiom in March 2025, Hong has already attracted a team of 17 employees, including researchers from Meta’s FAIR lab, Meta’s GenAI team, and Google Brain (now part of DeepMind). Axiom recently announced a $64 million seed funding round, giving the startup resources to tackle math problems that have stumped humans for decades.
Recruiting Top Talent With a Mission
Hong believes that solving complex mathematical problems is key to developing advanced AI systems. This vision has helped her attract top-tier talent who see Axiom’s work as their professional legacy. “When the problem is hard enough, talent density gets very high, and that makes you a magnet for other great thinkers,” she told Business Insider.
Some of Axiom’s Meta recruits include Shubho Sengupta, the startup’s CTO, who Hong met by chance at a coffee shop, as well as Francois Charton, Aram Markosyan, and Hugh Leather. Hong also brought in her former professor, renowned mathematician Ken Ono.
Despite Meta offering industry-standard retention packages, Axiom’s mission and early-stage upside proved irresistible for many recruits. The startup’s non-hierarchical culture and focus on meaningful, challenging work have also contributed to its appeal.
Why It Matters
Axiom Math is more than just a math-focused AI startup. The technology could eventually have applications in hardware and software verification, quantitative finance, cryptography, and any domain requiring provably correct reasoning. By tackling complex mathematics, Axiom positions itself at the frontier of AI research, bridging theory and practical implementation.
What’s Next
While Axiom is still small, its early successes like reportedly solving two long-standing Erdos math problems signal a startup that could reshape AI research. Hong’s ability to attract top talent and foster a mission-driven culture will be key as the company grows.
Related Laterstack Startup Stories
Why Some Startups Are Choosing to ‘Refound’ Themselves
GPTZero Identifies 50 Hallucinated Citations in ICLR 2026 Submissions
For inquiries, story tips, or submissions: laterstack@proton.me
A growing number of startups are taking the unusual step of “refounding” their companies. Rather than just adjusting products or pivoting after mistakes, these companies are using the language and mindset of founding to reset culture, strategy, and priorities. Recent examples include Airtable, Handshake, and Opendoor.
What Refounding Really Means
At Airtable, CEO Howie Liu explained that the company’s recent changes were not a pivot. Instead of simply adding AI features to its existing platform, Airtable treated it as a full reset, a “refounding moment.” Liu said the stakes felt similar to when the company was first created. They considered terms like “relaunch” or “transformation,” but ultimately chose language that emphasized starting fresh.
Handshake, a professional networking platform, is taking a similar approach. Chief Marketing Officer Katherine Kelly described the effort as bringing startup culture back into an established business. For employees, that has meant a return to office life five days a week and a focus on operating with a pace that drives measurable results.
Opendoor is also leaning into this mindset, using the refounding concept to align its strategy around new business models and AI-enhanced products.
Why This Is Happening Now
Many startups are exploring AI integration, new business models, or cultural realignment. Refounding gives leadership the framework to reset expectations and energy, without framing changes as corrections for failure.
It’s a way to signal both internally and externally that the company is serious about growth, innovation, and culture, while also creating space to rebuild processes, priorities, and product roadmaps.
What It Means for Founders and Employees
For founders, refounding can be both an opportunity and a challenge. It allows them to reset the company’s trajectory and embrace ambitious projects. For employees, it often comes with higher expectations and a renewed emphasis on performance, collaboration, and alignment with the company’s vision.
Some experts caution that frequent refounding can be disruptive, but when executed well, it can reinvigorate a startup and help it compete in fast-changing markets.
Related Laterstack Startup Stories
Apple Loses Top Design Executive Alan Dye to Meta in High-Stakes Move
Meta Reportedly Delays Mixed Reality Glasses Until 2027 as XR Strategy Shifts
For inquiries, story tips, or submissions: laterstack@proton.me
Meta has hired Alan Dye, Apple’s longtime head of user interface design, in a move that signals the company’s push into AI-equipped consumer devices. Dye, who has led Apple’s interface design since 2015, will oversee design for hardware, software, and AI integration at Meta, reporting directly to Chief Technology Officer Andrew Bosworth.
The hire is a significant blow to Apple, which has faced a wave of departures from its design and executive teams over the past several years. Dye helped shape the look and feel of Apple’s latest operating systems, apps, iPhone, Apple Watch, and Vision Pro headset. His exit continues a trend of key talent leaving Apple since Jony Ive’s departure in 2019.
Why This Matters
Meta is clearly signaling a shift. By bringing in Dye, the company aims to compete on design as aggressively as Apple, especially as AI becomes central to consumer devices. Dye will lead a new design studio at Meta, focusing on integrating AI features into hardware and software across Meta’s products, including virtual and augmented reality devices.
Apple, meanwhile, is promoting Stephen Lemay, a longtime designer, to replace Dye. Lemay has been instrumental in Apple’s interface design since 1999. CEO Tim Cook emphasized that the company’s design team remains strong, but Dye’s departure highlights the ongoing challenge of retaining top creative talent in Silicon Valley.
What This Means for Apple and Meta
For Apple, Dye’s exit adds to a period of leadership change. In recent months, COO Jeff Williams retired, AI head John Giannandrea left, and hardware chief Dan Riccio retired last year. Other executives, including Johny Srouji and Lisa Jackson, are reportedly considering their futures.
For Meta, the hire signals ambition beyond software and social networking. The company is betting that world-class design, combined with AI integration, can help it compete in consumer hardware. Dye will be joined by Billy Sorrentino, a senior director from Apple, and will oversee several of Meta’s existing design leaders.
The move could reshape the tech landscape, creating a new battleground between Apple and Meta for design, AI, and next-generation devices.
Related Laterstack Sensational Tech Stories
Breakthrough From 1950s Sets Record for Ultra-Fast Chips
Parents Say School Issued iPads Are Fueling Chaos. Los Angeles Schools Now Face a Growing Revolt.
For inquiries, story tips, or submissions: laterstack@proton.me