The plan covers Russell 1000 stocks and some index ETFs at launch, with the same rights, symbols, and priority.
Tokenized trades would still flow through DTC and revert to traditional settlement if needed.
During the review, commenters questioned its mechanics, market risks, and how much say issuers should have.
Nasdaq’s proposal to trade some stocks in tokenized form received formal approval from the U.S. Securities and Exchange Commission on Wednesday, though the structure would still keep trading and settlement within traditional market rails.
Covering some securities already listed on the national securities exchange, the changes would begin with Russell 1000 stocks and certain index ETFs, with tokenized shares required to match their traditional counterparts in terms of rights, symbols, and trading priority.
Tokenization is the process of turning a traditional asset, such as a stock or ETF, into a digital asset on a blockchain, tied to the original security that carries the same rights.
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Participating brokers can mark an order for tokenized settlement when they enter it, and Nasdaq would pass that instruction to the Depository Trust Company after the trade is executed, the SEC said.
If DTC cannot carry out the request because the broker or security is not eligible, or because the blockchain or wallet is not compatible, the trade will settle in traditional, non-tokenized form.
Decrypt has reached out to Nasdaq for comment on when tokenized trading could begin and what still needs to be in place before launch.
Same rails, new wrapper
Nasdaq filed its proposal in September last year, comparing tokenization to earlier market innovations like decimalization and electronification.
At the time, the exchange argued that existing regulatory structures “mandated by Congress” already apply to tokenized securities regardless of their blockchain properties.
The SEC acknowledged in its approval letter that during the review process, several commenters raised questions about how Nasdaq’s tokenization model would work.
SIFMA, the main trade group for the U.S. securities industry, and Cboe Global Markets, one of the largest U.S. exchange operators, focused on the lack of clarity around DTC’s role.
The Digital Chamber, a blockchain policy and advocacy group, argued the SEC should avoid favoring specific firms or technologies and give issuers more say.
Better Markets, a nonprofit focused on financial reform, opposed the proposal due to potential price gaps, surveillance concerns, and legal uncertainty.
By late November, major exchanges and market groups urged the SEC to avoid broad exemptions on tokenized securities, warning that looser relief could create uneven rules and new risks around tokenized stocks.
The SEC’s nod for Nasdaq comes as regulators and exchanges take a more structured and coordinated approach to tokenization, though the limits set for Nasdaq suggest that, at least for now, these can only be done through the existing system rather than a separate on-chain venue.
Earlier this year, SEC staff said that tokenized assets are securities first, technology second, affirming its position that placing a security on a blockchain does not alter its legal classification under federal law.
Opening the door
The approval matters because “it starts to make listed equities more programmable, not just more digital,” Steven Wu, chief operating officer at tokenization engine Clearpool, told Decrypt.
“The SEC is opening the door for these assets to move beyond trading and into broader financial use cases,” Wu said. “The real signal is where this is heading. Market structure has already moved from T+3 to T+1, but the endgame is T+0 and continuous, 24/7 markets.”
The changes introduce “flexibility at the infrastructure layer without disrupting how markets function today,” he noted, pointing to a longer-term shift toward faster settlement and eventually markets that can operate closer to real time.
“Tokenized equities point toward a model where price discovery is no longer constrained by traditional market hours,” he said.
For institutional players, the SEC’s approval “creates more flexibility at the asset level, Samar Sen, head of international markets at institutional digital asset firm Talos, told Decrypt.
“Institutions will be looking closely at how tokenized securities plug into post-trade infrastructure, especially where settlement still runs through central clearing and settlement systems, and whether liquidity develops consistently across both formats,” he added.
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Moving out of a rented property in London often comes with a long checklist of responsibilities. Packing belongings, organising transport, and arranging the next home can already be stressful. Among these tasks, one of the most important is leaving the property clean enough to meet the landlord’s or letting agent’s expectations. This is where end of tenancy cleaning [https://premiumclean.co.uk/] becomes especially important, as it can directly influence whether tenants receive their full deposit back.
End of tenancy cleaning is more detailed than regular household cleaning. When tenants first move into a property, they usually receive it in a thoroughly cleaned condition. At the end of the tenancy, the property is expected to be returned in a similar state. If the cleaning does not meet the required standards, landlords may deduct money from the security deposit to cover the cost of additional cleaning services.
Because of this, many tenants in London choose to use professional cleaners who specialise in end of tenancy cleaning. These services are designed specifically to meet the cleaning standards that landlords and letting agents commonly require. Professional teams typically follow a structured checklist that covers all rooms in the property, including kitchens, bathrooms, living areas, and bedrooms.
A common feature offered by some cleaning companies is a deposit back guarantee. This type of guarantee is intended to give tenants extra reassurance during the move-out process. In simple terms, it means that if the landlord or letting agent is not satisfied with the cleaning results, the cleaners will return and address any issues without additional cost. The goal is to ensure that the property meets the required condition and that the tenant has the best possible chance of receiving their deposit back.
In London’s competitive rental market, deposits can be substantial. For many tenants, recovering the full deposit is financially important, especially when preparing to move into a new property where another deposit may be required. A deposit back guarantee helps reduce the uncertainty associated with final inspections.
End of tenancy cleaning typically includes a wide range of tasks. Kitchens are often the most timeconsuming areas, as appliances such as ovens, refrigerators, and microwaves need to be cleaned thoroughly. Grease, food residue, and limescale may need special attention. Cabinets, countertops, sinks, and tiles are also usually cleaned in detail.
Bathrooms require careful work as well. Limescale removal, disinfecting surfaces, and polishing fixtures are common parts of the process. Showers, bathtubs, toilets, mirrors, and tiles are usually included in the cleaning checklist.
In the rest of the property, cleaners focus on dusting surfaces, wiping skirting boards, cleaning doors and handles, and vacuuming or mopping floors. Windows on the inside are also commonly cleaned. The objective is to leave the property in a condition that closely resembles its state at the beginning of the tenancy.
Another advantage of professional end of tenancy cleaning is the efficiency of experienced teams. What might take a tenant an entire day or even a weekend to complete can often be finished much faster by trained cleaners with the right equipment and products.
Companies such as Premium Clean in London provide end of tenancy cleaning services with a deposit back guarantee, offering tenants additional peace of mind during the moving process. While no service can control every factor involved in a landlord’s final inspection, a thorough professional clean can significantly reduce the risk of disputes over cleanliness.
In the end, leaving a rental property in good condition benefits everyone involved. Tenants increase their chances of receiving their full deposit, landlords can prepare the property more quickly for new occupants, and the moving process becomes a little less stressful. End of tenancy cleaning, especially when combined with a deposit back guarantee, can therefore play an important role in a smooth transition between homes.
Media ContactCompany Name: Premium Clean Ltd.Email:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=premium-clean-ltd-introduces-deposit-back-guarantee-for-end-of-tenancy-cleaning-services-in-london]Country: United KingdomWebsite: https://premiumclean.co.uk/
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New YouTube series “The Crypto Castle” dials back the clock to 2015, when Bitcoin was just $250.
Viv Ford stars as Viv, who moves into a house full of early Bitcoin adopters.
The show looks at crypto as a subculture, and how it’s evolved since the early days.
“Crypto culture sucks,” says actor and comedian Viv Ford. “You’ll go to crypto conferences and it’s not what it used to be. It used to be fun degen conferences, and now it’s like, men from JPMorgan talking about leverage or whatever. And you’re, like, what happened?”
With her new YouTube sitcom “The Crypto Castle,” Ford’s aiming to break out of “this insane culture bubble” and reset the clock to the days when crypto was full of promise—and Bitcoin cost just $250 a pop.
Based on her real-life experience, “The Crypto Castle” stars Ford as Viv, a twentysomething drifting around the fringes of the San Francisco tech boom of the mid-2010s, who fetches up in a shared apartment with four Bitcoin bros.
“There’s no comedic, relatable TV show about this wild world—why is that?” she said. “Why is there no ‘Silicon Valley’ for crypto? Why is there no, like, like ‘New Girl’-adjacent show for crypto?”
As well as Viv, the show features Garrett, the “loudest guy in the room,” would-be nation builder Trent, teenage prodigy Ray, and mysterious Frenchman Pierre, all pursuing their dream to change the world with crypto.
In recent years, crypto has typically only popped up in crime movies or been name-checked to add a futuristic gloss to TV shows and films, but Ford’s more interested in “characters that think they are building the future,” she told Decrypt.
“I was really interested in what was the subculture of this thing before it blasted off into the mainstream where everyone could start making money,” she added.
Crypto’s evolving subculture
The show is a historical snapshot of Bitcoin’s evolution, Ford told Decrypt. “In the title card, we have the Bitcoin price graph, and you see it just kind of shoot up, and then you have the arrow of where you are, and it’s when Bitcoin is low. So the viewer is aware of all of the things that are to come,” including the Bitcoin hard fork, the implosion of Mt. Gox, and the rise of Ethereum.
“It’s very much trying to take just those moments of like, will this survive? What does this look like?” And for the Crypto Castle’s residents, their identity is “tied up in this,” she said.
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That identity, she argues, is rooted in the idea of subcultures more generally, rather than crypto specifically. “A lot of the people that were in it at the start left, and that’s really interesting,” she said. “I think probably the reason is because these people, actually, they’re less so lovers of crypto and they’re more so lovers of subculture—of finding the thing before the mainstream finds the thing. And so they’re just on a mission to always find that thing.”
With the departure of those early pioneers, “there’s a sad evolution of the culture where it just went to, like, ‘How can you make money?’” she lamented. “As this industry tries to mature, tries to be taken more seriously, I’m like, ‘Wait, it’s a joke.’ Can we go back to when it was, like, just this hilarious joke?”
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A token sale tied to a live ecosystem
Playnance is bringing G Coin to a major public milestone today, after saying March 18 would mark the token’s generation event and broader market debut. Unlike projects that arrive before product adoption, Playnance is pitching G Coin as the utility layer for an ecosystem that already has more than 200,000 holders; its official tracker recently showed 203,732 holders.
Launch materials distributed through Chainwire also said roughly 13 billion G Coin had already been distributed during the presale phase ahead of today’s event.
G Coin is positioned as the settlement and utility token across the Playnance stack, which includes on-chain gaming, prediction products, and loyalty mechanics. On its official site, Playnance says the token already powers 10,000-plus on-chain games and 2.5 million live sports events annually, while the G Coin page says the broader ecosystem averages 1.5 million on-chain transactions per day.
What buyers are actually getting
The most important point for buyers is that Playnance describes G Coin as a utility token, not a security, payment token, or claim on company profits.
The whitepaper says the token is meant to unlock gameplay, rewards, loyalty programs, missions, premium features, and promotional access across the ecosystem, and explicitly states that holders do not receive equity, dividends, governance rights, or redemption rights against the issuer.
The whitepaper also adds an important nuance to today’s launch framing. It says G Coin had already been available through authorized sales interfaces inside the Playnance ecosystem before publication, and that the current public offer is structured as an ongoing offer rather than one with a predefined end date.
For direct purchases, Playnance says accepted payment methods include EUR and USD through on-ramp providers such as Wert.io and Onramper, plus a range of crypto assets including BTC, ETH, POL, USDT, USDC, SOL, ADA, DOGE, SHIB, TON and others.
Supply, vesting and distribution
Playnance says tokens sold during the presale are delivered immediately and are not subject to vesting. Non-professional buyers who purchase directly from the issuer are entitled to a 14-day withdrawal period, provided the tokens have not already been used inside the ecosystem.
The same whitepaper says that right does not apply to third-party exchange purchases or to tokens already spent in gameplay or missions.
On tokenomics, the project says total supply is fixed at 77 billion G Coin, with 54 billion allocated to token sale minting. The company also says unsold tokens at the token generation event will face a 12-month cliff followed by 24-month linear vesting, while tokens lost through gameplay are locked for 12 months before re-entering circulation.
That lock-based model sits at the center of Playnance’s supply pitch, which argues for time-based release schedules instead of permanent burns or open-ended issuance.
The bigger bet
The real question is whether utility can translate into durable demand once broader market trading begins. Playnance is clearly betting that a token tied to active gameplay, sports interaction, and on-chain settlement has a stronger story than another speculative launch with no product behind it.
If the company can turn its existing user activity into sustained token usage, G Coin may enter the market with more traction than the average presale. But the whitepaper is also explicit on the limits: this is a utility token with no ownership rights, no guaranteed value, and no promise of financial return.
The Turkey Soft Skills Training Market was valued at USD 326.24 Million in 2025 and is projected to reach USD 829.47 Million by 2034, expanding at a CAGR of 10.92% from 2026 to 2034. The market is witnessing steady growth due to increasing corporate focus on workforce productivity, rising demand for leadership development, and the growing need for communication and interpersonal skills across industries. As organizations prioritize employee engagement and efficiency, structured soft skills training programs are becoming an integral part of professional development strategies.
Download a sample copy of the report: https://www.imarcgroup.com/turkey-soft-skills-training-market/requestsample
Study Assumption YearsBase Year: 2025Historical Years: 2020-2025Forecast Period: 2026-2034
Turkey Soft Skills Training Market Key Takeaways• The Turkey soft skills training market size reached USD 326.24 Million in 2025.• The Turkey soft skills training market reached USD 829.47 Million in 2034.• The market is expected to grow at a CAGR of 10.92 % during 2026-2034.• Increasing demand for leadership, communication, and productivity training is supporting market expansion.• Organizations are investing in employee development to improve performance and workplace collaboration.• Digital learning platforms are enabling wider access to training programs across industries.• The BFSI sector leads the market with a 25% share in 2025, driven by the need for customer engagement and compliance training.
Market Growth FactorsThe market in Turkey is expanding due to the rising emphasis on workforce capability enhancement across corporate sectors. Companies are focusing on leadership, communication, and teamwork skills to improve operational efficiency and employee performance. Management and leadership training programs are gaining traction as organizations seek to develop strong decision-making capabilities among employees. Additionally, communication and productivity training is increasingly adopted to enhance workplace collaboration and customer interaction.
The adoption of digital platforms is transforming the delivery of soft skills training. Online learning solutions provide flexibility and cost efficiency, allowing organizations to train employees across multiple locations. The shift toward remote and hybrid work environments has further accelerated the demand for virtual training modules. These platforms support interactive learning through webinars, simulations, and real-time feedback, improving the overall effectiveness of training programs.
Another key driver is the growing involvement of academic institutions and government bodies in skill development initiatives. Educational institutions are integrating soft skills training into their curriculum to prepare students for professional environments. Government-supported training programs are also promoting workforce readiness, especially in sectors such as healthcare, retail, and hospitality. This collaborative approach is strengthening the overall training ecosystem in Turkey.
Market SegmentationBy Soft Skill Type:• Management and Leadership• Administration and Secretarial• Communication and Productivity• Teamwork• Personal Development• Others
By Channel Provider:• Corporate/Enterprise• Academic/Education• Government
By Sourcing:• In-house• Outsourced
By Delivery Mode:• Online• Offline
By End Use Industry:• BFSI• Hospitality• Healthcare• Retail• Media and Entertainment• Others
The BFSI segment dominates the market, accounting for 25% share in 2025, supported by continuous training requirements in customer service, compliance, and relationship management.
Regional InsightsMajor urban centers in Turkey are emerging as key hubs for professional training services due to the concentration of corporate offices and educational institutions. Cities with strong industrial and service sectors are witnessing higher demand for structured training programs. The expansion of multinational companies and startups is further contributing to the adoption of soft skills training across diverse industries.
Recent Developments & TrendsThe market is experiencing a shift toward personalized and role-specific training programs. Organizations are adopting customized learning modules tailored to job roles and industry requirements. The integration of interactive technologies such as virtual classrooms and simulation-based learning is improving training outcomes.
Blended learning approaches combining online and offline training are becoming increasingly popular. Companies are leveraging data analytics to assess employee performance and design targeted training interventions. This trend is helping organizations achieve measurable improvements in productivity and employee engagement.
Key PlayersThe market includes a mix of local training providers, global consulting firms, and educational institutions offering specialized soft skills development programs. These players are focusing on expanding their digital training capabilities and enhancing course offerings to meet evolving industry demands.
Contact UsIMARC Group134 N 4th St. Brooklyn, NY 11249, USAEmail: sales@imarcgroup.comTel No: (D) +91 120 433 0800United States: +1-201971-6302
About UsIMARC Group is a global management consulting firm that supports organizations in achieving sustainable growth. The company provides services including market assessment, feasibility studies, company incorporation, factory setup, regulatory approvals, and strategic advisory. Its expertise helps businesses identify opportunities, optimize operations, and strengthen market presence across industries.
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DLSS 5 introduces full neural rendering, shifting from performance enhancement to AI-driven image generation layered over game assets.
Early demos impressed developers but triggered backlash online, with players criticizing altered character faces and “uncanny” visuals.
Viral “DLSS OFF vs ON” memes captured concerns that the tech changes artistic intent rather than simply improving performance.
Jensen Huang called it the “GPT moment for graphics.” The internet called it a “yassification filter” with a $1,500 GPU requirement.
At GTC 2026 this week, NVIDIA unveiled DLSS 5—its most technically ambitious graphics feature to date, and almost certainly its most memed.
Unlike previous DLSS versions, which focused on upscaling or frame generation, DLSS 5 goes full neural rendering. It takes a game’s color buffer and motion vectors and then reinterprets them.
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Skin gets subsurface scattering. Fabric gets that cinematic sheen. Hair, lighting, shadows, all dialed up toward what NVIDIA describes as Hollywood-level photorealism, generated in real time.
Think less “upscaling” and more “a second AI artist repainting your game every frame.”
Early demos ran on dual RTX 5090s. One GPU for the game, one for the neural model. But NVIDIA says single-GPU support is coming ahead of a Fall 2026 rollout.
Big titles like Assassin’s Creed Shadows, Starfield, Resident Evil Requiem, and Oblivion Remastered are already lined up. Developers can tweak intensity, masking, and colour grading to preserve their intended look.
That last part turned out to be doing a lot of heavy lifting. The tech press loved it. Everyone else, not so much.
Hands-on previews praised the lighting and detail as “astonishing,” especially on faces and environments. Developers echoed the hype, with Starfield director Todd Howard saying it “brought [the game] to life.”
But the internet saw something else entirely.
YouTube comments, Reddit threads, and gaming forums lit up with terms like “AI slop,” “uncanny valley,” and “Instagram filter gone wrong.”
Resident Evil Requiem’s Grace Ashcroft became the flashpoint, with side-by-side comparisons showing a version players described as plastic, airbrushed, and weirdly over-enhanced.
Then came the memes.
The format hit instantly: “DLSS 5 OFF vs ON.” OFF was the original art. ON was… something else.
God of War. Image: Santa Monica Studio, Jetpack Interactive
Kratos with full makeup. Patrick Star turned into a hyper-real nightmare. Even Jensen Huang got the treatment.
It spread fast enough that even major creators and devs joined in.
And that’s the thing—gamers have been fine with DLSS for years. Upscaling, frame gen, all of it. Because it was invisible. It helped performance without changing the art. DLSS 5 breaks that contract.
At a press Q&A with Tom’s Hardware during GTC 2026, Nvidia CEO Jensen Huang pushed back on the growing backlash, dismissing claims that DLSS 5 makes games look worse or imposes a uniform “AI look” across titles.
“Well, first of all, they’re completely wrong,” he said when asked about the reaction. “The reason for that is because, as I have explained very carefully, DLSS 5 fuses controllability of the geometry and textures and everything about the game with generative AI,” Huang added.
In other words, Nvidia sees DLSS 5 as an extension of the original scene, not a replacement for it. That distinction may be technically accurate. It just hasn’t stopped the internet from turning it into meme fuel.
But it isn’t just enhancing an image. It’s making decisions about how that image should look. When the AI hits a character’s face, it’s not asking what the artist intended. It’s applying its own idea of realism.
That shift, from tool to taste, is what people are reacting to. Because at that point, it’s not just about better graphics. It’s about whose graphics they are.
Editor’s note: Updated story to add comments from Nvidia CEO
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In global travel hubs, car rental counters have long been dominated by multinational operators managing capital-intensive fleets financed through debt-heavy balance sheets. But in high-seasonal tourist markets such as Spain’s Canary Islands, a different model is quietly gaining traction – one that relies on digital coordination rather than vehicle ownership.
As travel demand rebounds and cost structures tighten, smaller asset-light booking platforms are emerging as competitive alternatives to traditional fleet operators.
One such company is CarzRent [https://carzrent.com/], a Tenerife-based car rental booking platform founded by entrepreneur Nils Joksts. Unlike legacy rental firms, the company does not own vehicles. Instead, it connects travelers with a network of carefully selected independent local providers, each managing fleets of 50 to 100 vehicles.
The result is a technology-driven, asset-light structure that, according to Joksts, allows for operational flexibility and margin stability during seasonal fluctuations.
“The traditional rental model is heavily exposed to depreciation cycles and financing risk,” Joksts says. “In island economies, where demand is highly seasonal, coordination and transparency can be more valuable than scale.”
Capital Intensity Meets Seasonal Volatility
The global car rental industry has historically relied on fleet expansion to capture market share. Major operators typically carry significant vehicle inventory that must be financed, insured, and depreciated – creating vulnerability during downturns.
During the pandemic, several global rental firms faced acute liquidity challenges as travel demand collapsed and fleet values fluctuated. While demand has since recovered, the episode highlighted structural fragilities within capital-heavy models.
Tourist island markets such as Tenerife operate under a distinct economic rhythm. Demand surges during peak seasons but compresses during off-months, amplifying risk for operators holding large owned fleets.
Asset-light booking platforms reduce exposure by distributing operational risk across local partners while maintaining centralized digital booking infrastructure.
CarzRent currently aggregates approximately 750 vehicles across Tenerife through partnerships with nine independent rental operators. Rather than expanding through asset acquisition, growth occurs through additional partnerships and digital booking optimization.
Industry observers note that such distributed supply models mirror broader trends in the travel sector, where platforms increasingly coordinate fragmented local infrastructure without owning the underlying assets.
Transparency as a Market Differentiator
Another structural challenge in the car rental industry lies in pricing complexity. Across Europe, consumer complaints frequently cite deposit retention practices, insurance upselling, and opaque fee structures.
Booking platforms have begun positioning transparency as a competitive advantage.
According to Joksts, clearly defined deposit policies and standardized partner criteria reduce post-booking disputes and improve customer retention.
“Trust reduces friction,” he says. “When customers understand the full cost upfront, conversion improves and operational conflicts decline.”
In high-tourism destinations, reputation spreads quickly through online review platforms, making clarity in pricing a measurable competitive lever.
Local Optimization Versus Global Standardization
While multinational brands rely on global scale and standardized procedures, localized booking platforms optimize for regional market dynamics.
In Tenerife, where infrastructure constraints and peak-season demand create supply bottlenecks, mid-sized local operators with established logistics often operate more efficiently than centralized airport-focused brands.
The platform model combines digital distribution with localized execution – a hybrid structure increasingly common across the broader travel economy.
CarzRent reports operating margins between 35% and 50%, reflecting reduced capital expenditure requirements and flexible cost structures. While smaller in scale compared to global incumbents, such margin profiles demonstrate the economic viability of decentralized models in specific markets.
A Broader Shift in Travel Economics
As global tourism continues stabilizing post-pandemic, structural questions remain about capital allocation in travel-related industries.
Fleet-heavy operators must continuously manage acquisition cycles and resale timing. Asset-light booking platforms, by contrast, prioritize technology infrastructure, partner network management, and demand optimization.
Analysts suggest that in markets characterized by seasonality, geographic isolation, and tourism dependency, platform-driven systems may prove structurally resilient.
For Joksts, the long-term opportunity lies not in competing directly with multinational brands, but in refining regional efficiency.
“Tourist islands operate under different economic physics,” he says. “If you build for flexibility instead of volume, you can outperform much larger competitors in those environments.”
Whether booking platforms represent a niche adaptation or the early phase of broader structural change in the rental sector remains to be seen. But in destinations like the Canary Islands, competitive dynamics are already evolving.
Media ContactCompany Name: CarzRentEmail:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=assetlight-car-rental-booking-platforms-are-challenging-traditional-fleet-models-in-tourist-economies]Country: SpainWebsite: https://carzrent.com/
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World has introduced AgentKit, a developer toolkit that lets AI agents prove they represent a unique human.
The system integrates World ID with the x402 protocol developed by Coinbase and Cloudflare.
Platforms could use the technology to limit bots, scalpers, and automated abuse online.
World is launching a developer toolkit designed to help websites verify that AI agents are acting on behalf of real people.
Launching today in beta, AgentKit integrates World’s World ID identity system with x402, an open protocol started by Coinbase and Cloudflare.
The system allows AI agents to carry cryptographic proof that they represent a unique human while interacting with websites, APIs, and online services.
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The release aims to address an ongoing problem: AI agents taking on tasks once handled directly by users, including booking reservations, buying concert tickets, accessing APIs, and comparing prices.
“Right now, there are a lot of services where agents can spam them—social platforms, or things like ticket sales,” DC Builder, a research engineer at the World Foundation, told Decrypt. “Think of Ticketmaster: if you delegate an agent the ability to book tickets, you can spawn like 100,000 tickets. “Even though they have the money to pay, it’s not a great user experience for people competing with bots.”
Platforms increasingly struggle to distinguish legitimate automated activity from large networks of bots.
Earlier this month, a federal judge issued a court order against AI developer Perplexity, blocking the company’s Comet browser from making purchases on Amazon on behalf of users.
AgentKit allows people who have verified their identity using World’s orb device to delegate their World ID to an AI agent.
Originally known as Worldcoin, World launched in 2023, with the goal of providing a global “proof of personhood” digital ID and cryptocurrency to help distinguish humans from bots and expand access to the digital economy.
According to World, its network includes nearly 18 million verified individuals across more than 160 countries. While the orb rewards users with crypto in the form of Worldcoin (WLD) tokens, according to Builder, tokens aren’t necessary to use the AgentKit.
Once the AI agent is linked to a user’s World ID, it can cryptographically prove that it represents a human without revealing the person’s identity.
By extending to the x402 protocol, sites can request proof alongside or instead of micropayments before granting access to services or APIs.
“What this lets you do is program against the knowledge of whether the request is coming from a human or an agent—or an agent tied to a human,” Erik Reppel, head of engineering for Coinbase’s developer platform, told Decrypt. “As the seller, you can just say, ‘This doesn’t have proof of human attached to it, so I’m going to reject the payment.’”
Platforms can then enforce limits or allocate resources based on the number of unique people interacting with a service rather than the number of automated agents involved.
“With proof of human, you at least know that the account is controlled by one person, and that there aren’t thousands of accounts all trying to purchase something,” Builder said. “But it’s not necessary for the identity part to contain information about the individual themselves—we’re purely anonymous in the proof‑of‑human protocol.”
“I think there’s a lot of the internet where it doesn’t matter that much if it’s human or agent, and a lot of the internet where it really, really matters if it’s a human or an agent,” Reppel added. “What we need are robust, open ways of understanding which is which—being able to tell when you’re talking to an AI, a human, or a specific human’s AI.”
In February, Coinbase introduced a wallet for AI agents on its Base network, designed to allow automated software to handle payments while keeping private keys isolated in trusted execution environments.
Beyond transactions, Builder said the technology could help maintain human interaction online as automated agents spread across the internet.
“People go on social networks to have that human connection,” Builder said. “If they want to interact with an agent, they go to ChatGPT, Claude, or another service.”
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STUTTGART, Germany, March 17, 2026 (GLOBE NEWSWIRE) — Q.ANT today announced the deployment of its second-generation photonic processors in a high-performance computing (HPC) environment at the Leibniz Supercomputing Center (LRZ). This deployment marks an important step toward integrating light-based co-processing into production data center operations to reduce the escalating energy and performance constraints of AI workloads. Photonic computing architectures can enable up to 90x lower power consumption per workload and up to 100x greater data center capacity, driven by higher computational density and increased calculation speed.
Building on its first-generation system at LRZ, Q.ANT’s Gen 2 Native Processing Units (NPUs) act as photonic AI accelerators, delivering higher computational throughput and improved energy efficiency. Installed via standard PCIe interfaces, the processors integrate into existing HPC systems and operate alongside CPUs and GPUs under AI and scientific simulation workloads.
“AI is pushing data center power consumption to unprecedented levels, and energy has become a major limiting factor in scaling next-generation computing infrastructure,” said Bob Sorensen, Hyperion Research’s Senior Vice President for Research. “What makes this deployment significant is that it moves photonic co-processing beyond proof-of-concept and into production HPC environments. Demonstrating measurable energy reduction and performance gains under real-world workloads signals that alternative architectures like photonics are becoming a practical path forward for scaling AI infrastructure.”
In benchmark evaluations at LRZ, Q.ANT’s Gen 2 architecture demonstrated significant improvements over its first-generation NPUs, marking the next milestone in the company’s aggressive product development roadmap. Results include:
More than 50x higher throughput of matrix multiplications25x faster inference on a ResNet-18 convolutional neural network6x lower energy consumption for typical workloadsEnhanced analog units optimized for nonlinear functions, reducing parameter counts and training depthAccuracy sufficient to support state-of-the-art AI applications
Unlike electronic processors that rely on transistor switching, Q.ANT’s photonic NPUs execute mathematical operations directly in the optical domain using Thin-Film Lithium Niobate (TFLN) photonic integrated circuits, eliminating on-chip heat generation and cooling requirements.
“Adding more digital hardware no longer solves the compute scaling problem in AI,” said Dr. Michael Förtsch, CEO of Q.ANT. “If we continue to scale with brute-force transistor logic, we simply turn electricity into heat. At LRZ, we’re proving that light-based co-processing can integrate with today’s infrastructure and deliver measurable efficiency gains under real workloads. This is how AI can continue to scale without scaling its energy footprint.”
LRZ runs large-scale scientific simulations, AI research, and data-intensive applications under the most demanding operational standards. The installation enables LRZ to rigorously test photonic co-processing under production conditions, benchmarking performance, precision and energy efficiency within heterogeneous HPC architectures.
“This deployment highlights the technological progress from the first to the second generation of Q.ANT’s processors,” said Prof. Dr. Dieter Kranzlmüller, Chairman of the Board of Directors of LRZ. “Our evaluation is conducted under real production workloads and operational requirements. Photonic co-processing represents a promising approach to addressing the performance and energy challenges increasingly defining modern high-performance computing.”
The LRZ installation helps tackle industrial challenges in compute-intensive applications such as drug discovery, materials design, and adaptive optimization, where nonlinear complexity and energy efficiency are critical.
About The Leibniz Supercomputing Centre (LRZ)The Leibniz Supercomputing Centre (LRZ) is a leading European high-performance computing facility serving universities and research institutions across Bavaria and Germany. As a member of Germany’s Gauss Centre for Supercomputing (GCS), LRZ provides large-scale computing infrastructure supporting scientific research, AI development, and data-intensive applications.
About Q.ANTQ.ANT is a Stuttgart-based photonics company developing photonic AI accelerators for AI and high-performance computing, delivering a scalable alternative to transistor-based systems. Its Native Processing Units (NPUs) use Thin-Film Lithium Niobate photonic integrated circuits to perform mathematical operations directly in the optical domain, enabling energy-efficient co-processing for complex computational workloads. Q.ANT operates its own TFLN chip pilot line in collaboration with IMS CHIPS.
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Bitcoin is trading above $75,000 ahead of PPI data and the Federal Reserve’s rate decision, breaking a key resistance zone.
Forecasts point to cooling producer inflation but still-elevated core pressures, keeping the Fed’s path uncertain.
Crypto’s divergence from equities and gold is reviving its “safe haven” narrative as geopolitical tensions persist, analysts say.
Bitcoin traded above $75,000 late Monday, holding gains ahead of a closely packed set of macroeconomic releases that investors expect to shape the near-term outlook for risk assets.
The world’s largest crypto is up about 3.5% over 24 hours to $75,300, according to CoinGecko data, pushing through a resistance band between $74,000 and $76,000 that analysts had flagged as a near-term ceiling.
It’s now at its highest level in over a month, as traders attempt to reprice risk amid uncertainty in the Middle East.
Markets are now focused on the February producer price index data due Wednesday, which is expected to show a moderation in headline inflation to 0.3% from 0.5% in the prior month.
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Core producer prices, however, are seen remaining firm on an annual basis, with year-over-year readings around 3.4%, underscoring persistent underlying price pressures.
The data is expected to land just hours before the Federal Reserve’s interest-rate decision, updated economic projections, and Chair Jerome Powell’s press conference.
Investors are watching the Fed’s “dot plot” for signals on whether policymakers still expect to keep rates higher for longer, or begin acknowledging downside risks to growth.
Additional data on Thursday, including initial jobless claims expected to hold near 215,000 and softer regional manufacturing activity, may offer further clues on whether the economy is cooling.
Equities and gold
Bitcoin’s strength has come alongside relative weakness in equities and gold, prompting renewed debate over whether the asset is beginning to diverge from traditional markets.
The S&P500 closed 1% higher on Monday, while the Nasdaq also rose 1.2%. Both benchmarks remain about 1.4% down on the week, while gold has shed roughly $400 of its value since the U.S. began bombing targets in Iran at the start of the month, to $5,025.
Analysts at QCP Capital said the current price action suggests markets are testing Bitcoin’s role as a geopolitical hedge amid ongoing tensions around Iran, which, they say, is driving demand for cross-border liquidity.
“Recent price action suggests the narrative of Bitcoin as a ‘digital safe haven’ or ‘geopolitical hedge’ may be resurfacing, with markets stress-testing that thesis in real time,” they said.
Derivatives positioning also points to potential volatility with Bitcoin approaching a large concentration of options open interest around the $75,000 strike into month-end, a level that could amplify moves if breached.
Analysts at Bitfinex told Decrypt that the coming macro clarity will likely determine whether Bitcoin extends its rally or consolidates after its recent gains.
“Bitcoin has held the $71,000–$72,000 range even as oil prices surged and macro tightening risks increased,” they said. “That suggests crypto may once again be stabilizing ahead of broader risk assets, a pattern that has appeared in prior tightening cycles where Bitcoin bottoms before equities begin to recover.”
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