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In case you havent been deluged with enough day-themed holiday shopping sales yet, the travel industry will try to tempt you with some seemingly tantalizing travel offers on December 2, aka Travel Tuesday, traditionally the first Tuesday after Thanksgiving. But whether the travel deals are actually steals may require you to do some research in advance and read the fine print so you dont face some unexpected fees once youre on vacation. If you regularly book through a specific travel provider and have a sense of what you normally pay, that will help you to better suss out whether youre actually saving money. Knowing what a specific trip or ticket would normally cost is important because travel providers may have artificially inflated the price just to offer a discount this week, Sally French, a travel expert at NerdWallet, cautioned to the Associated Press. Theres a sense of urgency with deals like these, she said, but its also important to make sure a trip that youre booking actually works for you and is something you genuinely want. That said, there may be some discounts that are worth taking advantage of. Here are some highlights. Blanket discounts with specific companies For seasoned travelers, some of the most attractive offers this week will likely come from companies you already book with regularly. Even then, however, there are some asterisks to each of these deals. Perhaps they can be used only on select dates or for specific locations, for example, which may put a damper on your wanderlust. Amtrak may not seem like the most exciting place to begin, but if you regularly travel by trainor have a trip in mindyou may be able score up to 25% off regularly priced fares if you book a ticket by December 3 for travel anytime from January 5 to March 15, 2026. That said, there are four blackout dates that coincide with holidays in January and February, while some routes arent eligible for the discount. If you do have your eye on something a bit more exciting, then insiders (aka people who have supplied their information) could score up to 20% off a stay at one of the boutique hotels in the Proper Hotels collection, along with a $175 dining credit. And Marriott is offering discounts ranging from 15% to 25% off stays at participating locations for reservations made through December 2, depending on whether or not youre a Bonvoy member and book through its app. Many major airlines are also advertising discounted fares for flights booked on Travel Tuesday; however, deals are primarily focused on specific routes. Deals on booking sites Aggregators in the travel world are also getting in on the action with some specials. Discounts range widely in terms of whats being discounted and the amount, but its worth checking the various sites if you have a trip in mind. You may be able to score up to 40% off by booking accommodations through Booking.com, while Hotels.com is promising up to 50% off on reservations for eligible hotels and resorts. Not to be outdone, Priceline is offering up to 60% off select travel packages, and some people may even be able to score up to 75% off at a curated list of 24 hotels by booking through Expedia. Some property owners are running their own promotions for bookings on Airbnb and VRBO, though youll have to have some dates and locations in mind to find those deals. More broadly, Airbnb is offering up to 50% off a single experience or service in Los Angeles, New York, or Paris if you book through Thursday, December 4. Discounts for cruises, resorts The most tantalizing, but trickiest, deals to navigate are often at resorts or for cruises. Thats because the discounts offered this week may not tell the full story of how much youll pay once you arrive, as fees and on-site activities can be quite expensive. This is the area of Travel Tuesday where you may want to proceed with caution lest you sign up for a trip that turns out to be far more expensive than you realized. Its also fair to wonder why specific locations are so heavily discounted when others are not. You can score up to 65% off reservations and potentially get some other money-saving perks at select Sandals Resorts locations for travel booked through December 2. And Club Med has extended a sale through December 2, offering up to 50% off at some of its all-inclusive resorts. The major cruise operators are seemingly always running some sort of sale, but the discounts may be bigger this week. Princess is offering up to $800 off fares, while Royal Caribbean is advertising up to $1,000 off its fares. And you can save up to 75% off the booking for a second guest with Celebrity Cruises. But if all these deals feel dizzying, travel experts say dont book just for the sake of booking. The decline in international visitors to the U.S. has seen many travel companies discount rates to ensure they are booked, and that trend will likely continue. As French told the AP, rest assured: If you dont buy on Travel Tuesday, you havent missed your moment.
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For the past decade, quantum computing has struggled to balance promise and practicality. While the worlds most advanced systems remain engineering marvels, theyre bedeviled by the same flaw: the fragility of qubitsthe fundamental units of quantum dataand the delicate hardware required to control them. A single fluctuation, for example, can collapse a quantum state, invalidating a computation. Most quantum systems also depend on large-scale refrigeration colder than deep space, with cryogenic racks that often occupy multiple rooms. Scaling quantum systems demands exponential increases in cost, energy, and environmental stability. So while the U.N. has designated 2025 as the International Year of Quantum Science and Technology, for all its scientific significance, quantums commercial trajectory remains narrow. But Japanese conglomerate Nippon Telegraph and Telephone Corp. (NTT) is attempting to rewrite that equation. In partnership with Japan-based quantum technology developer OptQC, NTT is attempting to break current orthodoxy through what is known as optical quantum computing, which uses photons instead of electrical currents to perform calculations. Since photons generate less heat compared to electron-based systems and can travel without resistance, these systems consume far less power. NTT argues that optical systems can be faster and more energy-efficient, forming the basis for greener, more sustainable computing. This combination not only accelerates computational capability but also reduces environmental impact, positioning quantum technology as a foundation for a sustainable digital future, says Shingo Kinoshita, SVP and head of R&D planning at NTT. Rather than relying on cooling systems, NTTs design utilizes light sources and error-correction technologies developed under its Innovative Optical and Wireless Network (IOWN) initiative. Japans broader industrial strategy sits just beneath the surface of this partnership. With the U.S. and China locked in geopolitical competition over quantum supremacy, Japans photonic-first model is being positioned as an alternative: one that favors energy efficiency and manufacturability over extreme-environment engineering. Today, the energy footprint of AI is emerging as a global challenge. Optical quantum computing processes information with light, enabling dramatically lower power consumption and scalable qubit growth through optical multiplexing, Kinoshita says. A million-qubit road map The approach builds on a series of rapid scientific breakthroughs across Japans quantum ecosystem. Over the past year, NTTalongside RIKEN, Fixstars Amplify, the University of Tokyo, and the National Institute of Information and Communications Technologydemonstrated the worlds first general-purpose optical quantum computing platform capable of running calculations without any external cooling. The upcoming platform fits inside a single room, a feat that many leading quantum systems developers cant claim. NTT and OptQC outlined a five-year plan leading to the 2030 milestone. During the first year, the companies will conduct technical studies and begin codesigning while identifying early use cases with external partners. In the second year, they plan to build complete development environments for hardware and software. In year three, they expect to begin verifying enterprise use cases such as drug development, financial optimization, materials science, and climate modeling. The final phase will focus on scaling the system to reach millions of qubits and making it reliable enough to handle real-world use cases, thereby preparing the technology for adoption among companies, governments, and industries. Qubits must scale into the thousands for quantum computing to surpass the current capabilities of AI. Unlike classical bits used in general-purpose computing systems, which exist as 0 or 1, qubits can exist in multiple states simultaneously, enabling exponentially faster processing of complex calculations. The 2030 vision of 1 million qubits is not just about performance, its about redefining how we align advanced computing with planetary limits, Kinoshita says. In the near term, as we aim for 10,000 qubits by 2027, the first impact will be within NTTs own communications infrastructure. Japans photonic bet to power AI As AI models grow in size and complexity, the demand for simulation, optimization, and high-dimensional problem-solving has also increased exponentially. NTT asserts that photonic quantum systems will become essential accelerators for next-generation AI and telecom networks such as 6G. In classical systems, electrical signals travel through semiconductor processors. Photonic systems replace those electrons with light, transmitting information through properties such as photon number, polarization, and amplitude. However, practical commercial quantum computing requires a scale of 1 million logical qubits, along with reliable quantum error correction, a mechanism that detects and corrects the subtle errors qubits constantly make. Todays machineseven the most advanced systems by IBM, Google, and otherssit orders of magnitude below that mark and remain extremely sensitive to environmental disturbances. NTT claims that photonics changes the math. Scaling to 1 million qubits by 2030 and then moving into mass deployment will demand a robust supply chain. Achieving high-performance quantum light sources and improving yield in precision fabrication will be critical steps, Kinoshita explains. In essence, this means NTT must be able to reliably manufacture the key components, such as high-quality light sources, and improve production yields so the hardware can be built at scale. By 2030, with 1 million qubits, the scope expands beyond telecom,” he adds. “NTT plans to explore these opportunities through partnerships with leaders in chemistry, finance, and industrial sectors. The global stakes of a photonic strategy This is not the first attempt at room-temperature quantum hardware, as companies like Sydney-based Quantum Brilliance are also pursuing cryogenics-free architectures. Quantum Brilliance is targeting edge and data-center deployments with compact photonic-inspired diamond devices, while Atom Computing, headquartered in Berkeley, Calfornia, is building large-scale, room-temperature systems that use neutral atoms. We truly believe that optically controllable neutral atom qubits allow a level of flexibility and practicality to the challenge of controlling millions of qubits with high-fidelity, low-crosstalk signals at room temperature, says Ben Bloom, founder and CEO of Atom Computing. But NTT argues that photons, not electrons or atoms, offer an architecture capable of reaching true commercial scale. Its thesis is simple: Light is inherently more stable, generates less heat, and is ultimately more manufacturable than any matter-based system. This shift transforms quantum computing from a niche technology into a broadly available resource,” Kinoshita says. Still, experts caution that the light-based computation path comes with its own unresolved challenges. Photonics faces significant challenges that often get glossed over in the roomtemperature narrative, says Yuval Boger, chief commercial officer at Boston-based QuEra Computing. You need near-perfect sources and detectors at scale, plus efficient photon-photon interactions, which don’t occur naturally and require complex optical elements. The engineering complexity of building a fault-tolerant photonic quantum computer with thousands of high-fidelity qubits is immense. If NTT stays on track, the worlds first million-qubit system may come from a room-temperature optical platform in Tokyo, engineered for real-world use cases including molecular simulation for drug discovery and materials science, financial risk modeling, and manufacturing optimization. Beyond technology, global coordination for specialized materials and resilience against geopolitical risks remains essential, Kinoshita says. When these systems can run in standard IT environments with ultra-low power consumption and rack-scale integration, enterprises will see cost-effective performance, governments will recognize strategic advantage, and the public will experience tangible benefits like greener networks and faster innovation. That moment will mark quantums shift from experimental to essential.
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On November 14, hotel and short-term apartment rental chain Sonder Holdings filed for bankruptcy, just days after suddenly announcing it would be winding down operations immediately, abruptly kicking guests to the curb and sending employees scrambling for answers. The company had faced major, unforeseen costs from a deal signed in August 2024 to integrate reservation systems with Marriott International and promote Sonder listings through the hotel giant, according to a statement issued four days earlier. Sonder had long been an outlier in the short-term rental space, which was a big part of its appeal to investors. Most of its competitorsshort-term rental companies like Kasa and AvantStay, the big hotel chains, and individual hotels and bed-and-breakfastseither own and operate their own properties or manage them on behalf of owners for a cut of revenue and profits. Sonder, by contrast, took out long-term leases on apartment units so it could rent them out for short-term stays, a business model similar to that of WeWork, the once high-flying chain of coworking spaces. But that model wound up saddling Sonder with fixed costs from long-term leases, especially rent payments. That held true even when competition or low demand limited how much it could make from guests, or other unexpected costs from factors like post-pandemic inflation or the Marriott integration added up, analysts and others in the industry tell Fast Company. We call it rental arbitrage, where you take out a long-term lease on an apartment building, and then you try to make more than that in short-term leases, says Jamie Lane, chief economist at short-term rental analytics firm AirDNA. Lane also raises the comparison to WeWork, which famously filed for bankruptcy protection in 2023, entering a court-approved restructuring plan the following year. (Sonder didnt reply to an inquiry from Fast Company.) Experts say Sonder’s failure isn’t an indictment of the short-term rental model or the larger hospitality sector writ large, but rather the result of mixing high fixed costs with variable income in a competitive marketplace. Still, other companies applying that approach to hospitality largely failed in the early days of the COVID-19 pandemicand Sonders abrupt shutdown suggests investors are unlikely to back such a model again anytime soon. The broader story here is that the lease-arbitrage model has proven economically destructive across real estate cycles, says Roman Pedan, founder and CEO of hotel and apartment-rental operator Kasa, which runs more than 70 properties across the country. It’s sort of a weapona toxic weapon of financial destruction. The rental-arbitrage model In the heyday of coworking-space businesses like WeWork and before the pandemic disrupted the travel industry, the rental-arbitrage approach made sense to investors. Sonder essentially applied the WeWork model to travel lodging, replacing the traditional front desk with a tech-forward approach to check-in and guest services (made popular through Airbnb and Vrbo). Other companies with a similar model, including Stay Alfred, Domio, and Lyric, shuttered in 2020 amid pandemic travel disruptions. Many hospitality chains make money through management agreements in which they share revenue with building owners or other hotel and short-term rental operators that both own and operate their own real estate. Sonder, by contrast, leased the majority of its listings from building owners at a fixed rate, according to the companys annual report. For a time, that model made Sonder into an investor darling. Just over six years ago, the company achieved unicorn status, raising a $225 million Series D round at a $1.1 billion valuation. In 2022, the company went public through a special purpose acquisition company (SPAC) merger that valued the company at $2.2 billion. Sonder closed out 2024 with more than 9,900 hotel rooms and furnished apartments available for rent across 41 cities in nine countries, according to its annual report to investors. And the contract with Marriott brought in an additional $15 million in startup key money payments to Sonder since its signing last year. Sonder had gotten lucky,” Lane says. “They had raised money just before the onset of the pandemic, so they had a good war chest to sort of get them through it. And the company later got subsequent boosts from the SPAC deal (which included an additional $310 million in investments) and the Marriott arrangement. Though the industry has long faced criticism for converting long-term rentals into vacation lodging, constraining the housing supply and at times introducing disruptive travelers into quiet neighborhoods and apartment buildings, occupancy is up overall from before the pandemic, Lane adds, though numbers havent yet recovered in some major cities where Sonder offered rentals. In short, others in the industry say, the problem is with the lease-arbitrage model, not the concept of renting whole homes or apartments to tech-savvy travelers. Significant capital commitment Sonders business model may have also seemed like a boon to property developers, especially when the company would lease out entire buildings to effectively convert into apartment-style hotels, says Emir Dukic, founder and CEO of Rabbu, a real estate marketplace for short-term rental owners. The practice, though often criticized by housing advocates for taking entire buildings off the traditional rental market, saved landlords the trouble of finding individual long-term tenants. Something that usually, as a landlord, would take you a year to lease up in a building, Sonder came in and did it overnight, and made a significant capital commitment to get those leases, Dukic says. So it was a win-win situation at the time for both parties, and they were able to scale it quickly. Those apartment-style units, often larger than traditional hotel rooms, were likely appealing to Marriott for effectively expanding the chains portfolio, Dukic explains. But they were also commonly clustered in competitive urban markets with other hotel and apartent rental options nearby. Even with self-check-in and other tech features, hospitality remains a labor-intensive business, he adds. Rooms still need to be cleaned, and someone still needs to be on call around the clock to help guests with lockouts, clogged toilets, or flaky Wi-Fi. Most of Sonders inventory was subject to fixed leases, whereby we agree to a fixed periodic fee per unit that may be subject to negotiated rent escalations, according to the companys annual report. In other words, unless landlords were willing to renegotiate, those payments would remain due regardless of what room rates the company could demand, rising costs due to inflation, or the apparent failure of the Marriott agreement to significantly boost occupancy. What about the landlords? Lane and others emphasize that the short-term rental industry, which includes a mix of chain businesses and smaller operations renting houses and apartments to travelers, is still generally faring well. But what Sonders bankruptcy will mean for building owners, essentially its landlords, remains unclear. The company had already exited some 3,300 units across 85 buildings as of June 30, 2025, according to the company report, and Pedan says Kasa has taken over management of more than a dozen former Sonder properties. Kasa, which announced a $40 million investment round in August, citing more than $100 million in annual booking revenue, typically operates with a more standard hotel management contract. Kasa is responsible for day-to-day operations, including marketing, housekeeping, and pricing, while building owners are responsible for capital improvements, which can include things like HVAC and roofing upgrades. The companys agreements ensure both parties benefit when properties do well, keeping interests aligned, Pedan says. When I say aligned, I mean we want to win when the owner wins and make less when the owner is making less, he says. So we make money as a percentage of their profit and their revenue. Another short-term rental management company, AvantStay, also issued a statement on November 10 urging landlords affected by the Sonder shutdown to consider adding their buildings to AvantStays portfolio of more than 2,500 properties. The company has already connected with a big fraction of affected property owners, says founder and CEO Sean Breuner, who like others remains optimistic about the industry as a whole. I think the industry is very healthy, Breuner says. Its alive and well, and demand in aggregate is the highest its ever been since we started 10 years ago. Sonders shutdown came shortly after Marriott announced the termination of the companies deal due to Sonders default. (Marriott didnt respond to an inquiry from Fast Company.) But in a filing in the bankruptcy case, the company said it ended the agreement and reached out to guests after concerns that Sonder would abruptly lock paying customers out of their rooms. Guests who were occupying Sonder-managed properties might be prevented from retrieving their personal belongings, including medication, passports, personal effects, or other essentials, according to Marriott. Just before the bankruptcy filing, Janice Sears, interim CEO of Sonder, declared in a statement that the company had reached a point where a liquidation is the only viable path forward, with guests and employees alike abruptly given notice that operations would shut down. At least two lawsuits have been filed by Sonder employees alleging the company violated federal and state laws requiring warning periods before mass layoffs. Brian Nettle, an attorney who represents a Sonder employee seeking class-action status in one of the cases, says, It’s just an unfortunate situation for plaintiffs in the class to have just lost a job suddenly.
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Inside a lab at the Massachusetts Institute of Technology late last year, scientists gave an AI system a new task: designing entirely new molecules for potential antibiotics from scratch. Within a day or twofollowing a few months of trainingthe algorithms had generated more than 29 million new molecules, unlike any that existed before. Traditional drug discovery is a slow, painstaking process. But AI is beginning to transform it. At MIT, the research is aimed at the growing challenge of antibiotic-resistant infections, which kill more than a million people globally each year. Existing antibiotics haven’t kept up with the threat. The number of resistant bacterial pathogens has been growing, decade upon decade,” says James Collins, a professor of medical engineering at MIT. “And the number of new antibiotics being developed has been dropping, decade upon decade.” The research, recently published in the journal Cell, is part of his labs Antibiotics-AI Project and offers one example of AI’s potential in medicine. The team tried making a small number of the compounds, and then used one to clear a drug-resistant infection in a mouse. In another part of the study, the researchers used a different approach to generate additional molecules, leading to another successful test in miceand the possibility that novel, fully AI-designed drugs may eventually be available for the most dangerous infections. [Source Image: Walter_D/Adobe Stock] The current challenge The standard approach to creating new antibiotics involves screening an existing library of compounds, one by one, or sifting through samples of soil to find promising new candidates. Since the 1980s, the Food and Drug Administration has approved a few dozen new antibiotics, but most of them are minor variations on drugs that already exist. What’s happened in the last couple decades is, it’s largely been a discovery gap where folks are discovering antibiotics, but they’re more or less very similarand they are analogs to existing antibiotics, Collins says. The challenge is compounded by poor economics for drug companies. It costs effectively just as much to develop an antibiotic as it does a cancer drug or blood pressure drug, for example, he says. With an antibiotic, you might only take it once or only over a few days, whereas with a cancer drug or a blood pressure drug, you could take it for many months, years, or even for the rest of your life. With each use, an antibiotic also only makes a fraction of the profit.” All of this means that if youre infected with bacteria thats hard to treatlike methicillin-resistant Staphylococcus aureus (MRSA), which also resists many other drugsthere are fewer options available. In the U.S., MRSA kills an estimated 9,000 people each year. [Source Image: Walter_D/Adobe Stock] Evolving uses for AI The Collins Lab has been studying antibiotics for around 20 years. Initially, the team used machine learning to better understand how antibiotics work and to look for ways to make existing antibiotics more effective. Around six years ago, they started using artificial intelligence as a platform for antibiotic discovery. They used AI to screen existing libraries of compounds to look for new antibiotics, leading to the discovery of new molecules that worked against infections in new ways. A spin-off nonprofit, Phare Bio, is now working to move promising candidates toward the market. The biotech company hopes to launch a trial of halicin, a drug initially developed for diabetes treatment in 2009 that was discovered to have powerful antibiotic properties by Collins’s research team a decade later. The latest research goes a step furthernot just screening through existing compounds, but creating new ones. The scientists used two different approaches. First, they used a library of millions of chemical fragments known to have antimicrobial activity, and used the algorithms to turn those fragments into complete molecules. In the second approach, they used the AI to freely design new molecules, without starting from existing fragments. As the computer churned through new designs, the researchers were free to work on other tasks until the AI was done. After the molecules were generated, “we applied a series of down-selection filters to prioritize which ones to synthesize and test,” says Aarti Krishnan, a senior postdoctoral fellow in the lab. “Those steps took a few days and involved human feedback, where medicinal chemists manually inspected over 5,000 candidate molecules and selected them for synthesizability.” Actually making the molecules was challengingsome of the AI’s ideas were so wild that they would either be impossible or impractical to manufacture. (This will improve as the AI evolves.) But the team was able to make a small number. From the part of the study that worked from fragments of existing molecules, the scientists were able to make two candidates, one of which was very effective at killing drug-resistant gonorrhea bacteria. From the part of the study that let AI freely design new molecules, they synthesized and tested 22 samples, ultimately advancing one candidate in a successful test that treated drug-resistant MRSA in mice. Now, the lab’s nonprofit partner is continuing to work on both molecules so they can undergo more testing. [Source Image: Walter_D/Adobe Stock] A new use for generative AI While the use of AI in drug development isn’t new, this particular application of generative AI is. “To our knowledge, this is the first generative-AI approach that’s designed completely novel antibiotic candidates whose structures do not exist in any commercial vendor space,” Krishnan says. Drug development is still a slow process, and moving through human trials will continue to take time. But AI can clearly help in the early discovery phase, reducing cost and increasing the chances of success. “AI allowed us to explore much larger chemical spaces than are currently available from screening libraries. And in doing so, it opened up these new molecules for our consideration,” Collins says. The approach could also be useful for other types of medicine. “All of the AI methods that we use could be readily extended to other indications,” he says.
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E-Commerce
Apparently any place looks better if you just say its Japan. Thats according to a TikTok trend, dubbed the Japan effect. First reported in Casey Lewiss youth trends newsletter After School, the trend has users making slideshows of two images. For all intents and purposes they are the same, except one is labelled with the original location and the second is labelled Tokyo, Japan. The idea being that the Japan effect is so strong, just the location tag can filter how we perceive an ordinary street or an average American neighborhood. Scrolling through the comments, those watching these TikTok videos genuinely believe the second image looks better than the first. Ive seen so many of these videos and its made me realise my own huge Japan bias, one comment read. Why is it so real. (Some do play around with the saturation or add soft pink filters which somewhat undermines the theory). Others suggest the Japan effect has little actually to do with Japan. Instead, its an example of the grass always being greener or the shift in perspective when we take a moment to romanticize the mundane parts of life, they say. America is actually pretty beautiful, it’s just a psychological barrier to being able to appreciate things you see on a daily basis, one user commented. I sometimes do that in my own house, another wrote. If this was an Airbnb, Id be having a blast. Really makes you appreciate what you have. And yet the America effect doesnt have quite the same charm to it. Japan simply has a reputation for making everything that bit cooler. Even 7-Eleven is better in Japan. Japanese culture also appears to yet again be having a moment. From the explosion in popularity of anime on streaming giants like Netflixthe company says anime viewership on the platform has tripled over the past five yearsto the rise of matcha. In the U.S., retail sales of matcha are up 86% from three years ago, according to NIQ, a market research firm, so much so the bright green drink has become a bona-fide accessory. Its no surprise, then, that Japan has become a top destination for young travelers. Gen Z and millennial visits to the country are up 1,300% since 2019. Japan is now the most popular country on social media, according to a 2025 Titan Travel study. The country has experienced a 50% increase in search volume over the past three years, with 184 million Instagram posts, and 15.6 million TikTok hashtags for #Japan, according to the report. Of course, the temptation to romanticize and exoticize foreign countries is a large part of the reason people travel in the first place. Simply put, the Japan effect exists, as one TikTok user noted, because we associate this country with pain suffering and heartbreak.
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E-Commerce