The Wall Street Journal reports that a growing number of tech startups are stocking offices with free nicotine pouches as founders and employees chase sharper focus and stamina in hyper-competitive AI-era work environments. The Wall Street Journal reports: Earlier this year, two nicotine startups -- Lucy Nicotine and Sesh -- made branded vending machines filled with flavored products for analytics company Palantir Technologies. Both machines are in the company's Washington, D.C., offices. The pouches are free for employees and guests over the age of 21, a spokeswoman for Palantir said. Palantir pays to stock the nicotine products.

Alex Cohen, a startup founder based in Austin, Texas, said he was first exposed to nicotine pouches in the workplace after seeing tins of Zyns on the desks of his software engineers. His company, Hello Patient, makes AI-powered healthcare-communication software. "They were very productive, so I thought maybe there's something here," he said. Those engineers soon asked him if he could buy it for the office.

Cohen said he initially bought the nicotine pouches as a joke for social media. He posted a picture of a drawer in his startup's office filled with nicotine pouches made by different brands with the caption, "We're hiring." "Then, I accidentally got addicted," said Cohen. He said he uses around two to three pouches a day. His go-to flavors are mango or minty. Cohen said he has attention-deficit/hyperactivity disorder, or ADHD, and he has found that the pouches can provide a quick productivity boost. "It helps with reining in my focus because it is a stimulant," he said. Today, Hello Patient has a nicotine-pouch fridge in its office kitchen.

An anonymous reader quotes a report from Cyber Press: A newly uncovered Chinese threat group, DarkSpectre, has been linked to one of the most widespread browser-extension malware operations to date, compromising more than 8.8 million users of Chrome, Edge, Firefox, and Opera over the past seven years. According to research by Koi.ai, the group operates three interconnected campaigns: ShadyPanda, GhostPoster, and a newly identified one named The Zoom Stealer, forming a single, strategically organized operation.

DarkSpectre's structure differs from that of ordinary cybercrime operations. The group runs separate but interconnected malware clusters, each with distinct goals. The ShadyPanda campaign, responsible for 5.6 million infections, focuses on long-term user surveillance and e-commerce affiliate fraud. Its extensions have appeared legitimate for years, offering new tab pages and translation utilities, before secretly downloading malicious configurations from command-and-control servers such as jt2x.com and infinitynewtab.com. Once activated, they inject remote scripts, hijack search results, and track browsing activity.

The second campaign, GhostPoster, spreads via Firefox and Opera extensions that conceal malicious payloads in PNG images via steganography. After lying dormant for several days, the extensions extract and execute JavaScript hidden within images, enabling stealthy remote code execution. This campaign has affected over one million users and relies on domains like gmzdaily.com and mitarchive.info for payload delivery.

The most recent discovery, The Zoom Stealer, exposes around 2.2 million users to corporate espionage. These extensions masquerade as productivity tools or video downloaders while secretly harvesting corporate meeting links, credentials, and speaker profiles from more than 28 video conferencing platforms, including Zoom, Microsoft Teams, and Google Meet. The extensions use real-time WebSocket connections to exfiltrate data to Firebase databases, such as zoocorder.firebaseio.com, and to Google Cloud functions, such as webinarstvus.cloudfunctions.net.

OpenAI is paying employees more than any major tech startup in history, with average stock-based compensation hitting roughly $1.5 million per worker in 2025. "That is more than seven times higher than the stock-based pay Google disclosed in 2003, before it filed for an initial public offering in 2004," reports the Wall Street Journal. "The $1.5 million is about 34 times the average employee compensation of 18 other large tech companies in the year before they went public." From the report: To keep its lead in the AI race, OpenAI is doling out massive stock compensation packages to top researchers and engineers, making them some of the richest employees in Silicon Valley. The equity awards are inflating the company's heavy operating losses and diluting existing shareholders at a rapid clip. As an AI arms race intensified this summer, frontier labs such as OpenAI faced pressure to increase employee pay after Meta Platforms Chief Executive Mark Zuckerberg began offering pay packages worth hundreds of millions of dollars -- and in some rare cases $1 billion -- to top executives and researchers at rival companies.

Zuckerberg's recruiting blitz swept up 20-plus OpenAI personnel, including ChatGPT co-creator Shengjia Zhao. In August, OpenAI gave some of its research and engineering staff a one-time bonus, with some employees receiving millions of dollars, The Wall Street Journal previously reported. The financial data, shared with investors over the summer, shows that OpenAI's stock-based compensation was expected to increase by about $3 billion annually through 2030. The company recently told staff it would discontinue a policy that required employees to work at OpenAI for at least six months before their equity vests. That development could lead to further compensation increases.

OpenAI's compensation as a percentage of revenue was set to reach 46% in 2025, the highest of any of the 18 companies except for Rivian, which didn't generate revenue the year before its IPO. Palantir's stock-based compensation equaled 33% of its revenue the year before its IPO in 2020, Google's was 15% and Facebook's was 6%, the analysis shows. On average, each company's stock-based compensation made up about 6% of revenue among tech companies the Journal analyzed in the year before their IPOs, according to the Equilar data.

In an opinion piece for Computerworld, columnist Steven Vaughan-Nichols argues that restrictive visa policies and a hostile border climate under the Trump administration are driving foreign tech workers, researchers, and conference speakers away from the U.S. The result, he says, is a gradual shift of talent, events, and long-term innovation toward more welcoming regions such as Europe, Canada, and Asia. From the report: I go to a lot of tech conferences -- 13 in 2025 -- and many of those I attend are outside the U.S.; several are in London, one is in Amsterdam, another in Paris, and two in Tokyo. Wherever I went this past year, when we weren't talking about AI, Linux, the cloud, or open-source software, the top non-tech topic for non-Americans involved the sweeping changes that have occurred since President Donald J. Trump returned to office last January. The conversations generally ended with something like this: "I'm not taking a job or going to a conference in the United States."

Honestly, who can blame them? Under Trump, America now has large "Keep Out!" and "No Trespassing!" signs effectively posted. I've known several top tech people who tried to come to the U.S. for technology shows with proper visas and paperwork, but were still turned away at the border. Who wants to fly for 8+ hours for a conference, only to be refused entry at the last minute, and be forced to fly back? I know many of the leading trade show organizers, and it's not just me who's seeing this. They universally agree that getting people from outside the States to agree to come to the U.S. is increasingly difficult. Many refuse even to try to come. As a result, show managers have begun to close U.S.-based events and are seeking to replace them with shows in Europe, Canada, and Asia. [...]

Once upon a time, everyone who was anyone in tech was willing to uproot their lives to come to the U.S. Here, they could make a good living. They could collaborate, publish, and build companies in jurisdictions that welcome them, and meet their peers at conferences. Now, they must run a gauntlet at the U.S. border and neither a green card nor U.S. citizenship guarantees they won't be abused by the federal government. Trump's America seems bound and determined to become a second-rate tech power. His administration can loosen all the restrictions it wants on AI, but without top global talent, U.S. tech prowess will decline. That's not good for America, the tech industry or the larger world.

PC Gamer argues that 2025 was a year full of high-profile AI embarrassments across games and entertainment, with Disney and Lucasfilm serving as the "opening salvo." From the report: At a TED talk back in April, Lucasfilm senior vice president of creative innovation Rob Bredow presented a demonstration of what he called "a new era of technology." Across 50 years of legendary innovation in miniature design, practical effects, and computer animation, Lucasfilm and its miracle workers at Industrial Light & Magic have blazed the trail for visual effects in creative storytelling -- and now Bredow was offering a glimpse at what wonders might come next.

That glimpse, created over two weeks by an ILM artist, was Star Wars: Field Guide: a two-minute fizzle reel of AI-generated blue lions, tentacled walruses, turtles with alligator heads, and zebra-stripe chimpanzees, all lazily spliced together from the shuffled bits of normal-ass animals. These "aliens" were less Star Wars than they were Barnum & Bailey. It felt like a singular embarrassment: Instead of showing its potential, generative AI just demonstrated how out of touch a major media force had become. And then it kept happening.

At the time, I wondered whether evoking the legacy of Lucasfilm just to declare creative bankruptcy had provoked enough disgusted responses to convince Disney to slow its roll on AI ventures. In the months since, however, it's clear that Star Wars: Field Guide wasn't a cautionary tale. It was a mission statement. Disney is boldly, firmly placing its hand on the hot stove. Other embarrassing AI use cases include Fortnite's AI-powered Darth Vader NPC, Activision's use of AI-generated art in what was widely described as the "weakest" Call of Duty launch in years, McDonald's short-lived AI holiday ad, and Disney's $1 billion licensing deal with OpenAI.

Axios reports that venture capitalist Alex Davis is warning that a speculative rush to build data centers without committed tenants could trigger a financing crunch by 2027-2028.

"This critique is coming from inside the AI optimist camp," notes Axios, as Davis' firm, Disruptive, "recently led a large investment in AI chipmaker Groq, which then signed a $20 billion licensing deal with Nvidia. It's also backed such unicorn startups as Reflection AI, Shield AI and Gecko Robotics."

Here's what Davis had to say in his investor letter this morning: "While I continue to believe the ongoing advancements in AI technology present 'once in a lifetime' investment opportunities, I also continue to see risks and reason for caution and investment discipline. For example, we are seeing way too many business models (and valuation levels) with no realistic margin expansion story, extreme capex spend, lack of enterprise customer traction, or overdependence on 'round-trip' investments -- in some cases all with the same company. I am also deeply concerned about the 'speculative' data center market. The 'build it and they will come' strategy is a trap. If you are a hyperscaler, you will own your own data centers. We foresee a significant financing crisis in 2027-2028 for speculative landlords. We want to back theowner/users, not the speculative landlords, and we are quite concerned for their stress on the system." The full letter can be found here.

China is quietly mandating that chipmakers use at least 50% domestically made equipment when expanding capacity, "as Beijing pushes to build a self-sufficient semiconductor supply chain," according to Reuters. From the report: The rule is not publicly documented, but chipmakers seeking state approval to build or expand their plants have been told by authorities in recent months that they must prove through procurement tenders that at least half their equipment will be Chinese-made, the people told Reuters. The mandate is one of the most significant measures Beijing has introduced to wean itself off reliance on foreign technology, a push that gathered pace after the U.S. tightened technology export restrictions in 2023, banning sales of advanced AI chips and semiconductor equipment to China.

While those U.S. export restrictions blocked the sale of some of the most advanced tools, the 50% rule is leading Chinese manufacturers to choose domestic suppliers even in areas where foreign equipment from the U.S., Japan, South Korea and Europe remain available. Applications failing the threshold are typically rejected, though authorities grant flexibility depending on supply constraints, the people said. The requirements are relaxed for advanced chip production lines, where domestically developed equipment is not yet fully available. "Authorities prefer if it is much higher than 50%," one source told Reuters. "Eventually they are aiming for the plants to use 100% domestic equipment."

The consulting firm CVL Economics estimated last year that AI would disrupt more than 200,000 entertainment-industry jobs in the United States by 2026, but writer Nick Geisler argues in The Atlantic that the most consequential casualties may be the humble entry-level positions where aspiring artists have traditionally paid dues and learned their craft. Geisler, a screenwriter and WGA member who started out writing copy for a how-to website in the mid-2010s, notes that ChatGPT can now handle the kind of articles he once produced.

This pattern is visible today across creative industries: the AI software Eddie launched an update in September capable of producing first edits of films, and LinkedIn job listings increasingly seek people to train AI models rather than write original copy. The story adds: The problem is that entry-level creative jobs are much more than grunt work. Working within established formulas and routines is how young artists develop their skills. The historical record suggests those early rungs matter. Hunter S. Thompson began as a copy boy for Time magazine; Joan Didion was a research assistant at Vogue; directors Martin Scorsese, Jonathan Demme, and Francis Ford Coppola shot cheap B movies for Roger Corman before their breakthrough work. Geisler himself landed his first Netflix screenplay commission through a producer he met while making rough cuts for a YouTube channel. The story adds: Beyond the money, which is usually modest, low-level creative jobs offer practice time and pathways for mentorship that side gigs such as waiting tables and tending bar do not. Further reading: Hollow at the Base.

In a year when print book sales have slipped 1% to 679 million copies through early December, according to Circana BookScan, audiobooks continue to carve out territory that once belonged exclusively to hardcovers, and in several notable cases this year, the audio versions have outright outsold their physical counterparts.

S.A. Cosby's southern crime novel "King of Ashes" moved more copies as an audiobook than as a hardcover, according to publisher Macmillan Audio. The same is true for celebrity memoirs from Jeremy Renner, Alyson Stoner, and Brooke Shields -- all narrated by the authors themselves. Karin Slaughter's thriller "We Are All Guilty Here" and comedian Nate Bargatze's "Big Dumb Eyes" also saw their audio editions outpace hardcover sales.

Digital audiobook revenue jumped nearly 24% in 2024 to $1.1 billion, per the Association of American Publishers, though growth has cooled to 1% through October this year, bringing in nearly $888 million. The format's strength has professional narrators watching AI developments nervously. Emily Lawrence, who has narrated more than 600 audiobooks, said there's "a lot of water cooler talk about people who haven't had work in months." Hachette Audio publisher Ana Maria Allessi said voice-cloning technology is becoming more sophisticated and could change how authors approach narration.

Meta has agreed to acquire viral AI agent startup Manus, "a Singapore-based AI startup that's become the talk of Silicon Valley since it materialized this spring with a demo video so slick it went instantly viral," reports TechCrunch. "The clip showed an AI agent that could do things like screen job candidates, plan vacations, and analyze stock portfolios. Manus claimed at the time that it outperformed OpenAI's Deep Research." From the report: By April, just weeks after launch, the early-stage firm Benchmark led a $75 million funding round that assigned Manus a post-money valuation of $500 million. General partner Chetan Puttagunta joined the board. Per Chinese media outlets, some other big-name backers had already invested in Manus at that point, including Tencent, ZhenFund, and HSG (formerly known as Sequoia China) via an earlier $10 million round.

Though Bloomberg raised questions when Manus started charging $39 or $199 a month for access to its AI models (the outlet noted the pricing seemed "somewhat aggressive... for a membership service still in a testing phase,") the company recently announced it had since signed up millions of users and crossed $100 million in annual recurring revenue. That's when Meta started negotiating with Manus, according to the WSJ, which says Meta is paying $2 billion -- the same valuation Manus was seeking for its next funding round.

For Zuckerberg, who has staked Meta's future on AI, Manus represents something new: an AI product that's actually making money (investors have grown increasingly twitchy about Meta's $60 billion infrastructure spending spree). Meta says it'll keep Manus running independently while weaving its agents into Facebook, Instagram, and WhatsApp, where Meta's own chatbot, Meta AI, is already available to users.

An anonymous reader quotes a report from Ars Technica: The nervous system does an astonishing job of tracking sensory information, and does so using signals that would drive many computer scientists insane: a noisy stream of activity spikes that may be transmitted to hundreds of additional neurons, where they are integrated with similar spike trains coming from still other neurons. Now, researchers have used spiking circuitry to build an artificial robotic skin, adopting some of the principles of how signals from our sensory neurons are transmitted and integrated. While the system relies on a few decidedly not-neural features, it has the advantage that we have chips that can run neural networks using spiking signals, which would allow this system to integrate smoothly with some energy-efficient hardware to run AI-based control software.

[...] There are four ways that these trains of spikes can convey information: the shape of an individual pulse, through their magnitude, through the length of the spike, and through the frequency of the spikes. Spike frequency is the most commonly used means of conveying information in biological systems, and the researchers use that to convey the pressure experienced by a sensor. The remaining forms of information are used to create something akin to a bar code that helps identify which sensor the reading came from. In addition to registering the pressure, the researchers had each sensor send a "I'm still here" signal at regular time intervals. Failure to receive this would be an indication that something has gone wrong with a sensor.

The spiking signals allow the next layer of the system to identify any pressure being experienced by the skin, as well as where it originated. This layer can also do basic evaluation of the sensory input: "Pressure-initiated raw pulses from the pulse generator accumulated in the signal cache center until a predefined pain threshold is surpassed, activating a pain signal." This can allow the equivalent of basic reflex reactions that don't involve higher-level control systems. For example, the researchers set up a robotic arm covered with their artificial skin, and got it to move the arm whenever it experiences pressure that can cause damage. The second layer also combines and filters signals from the skin before sending the information on to the arm's controller, which is the equivalent of the brain in this situation. So, the same system caused a robotic face to change expressions based on how much pressure its arm was sensing.

[...] The skin is designed to be assembled from a collection of segments that can snap together using magnetic interlocks. These automatically link up any necessary wiring, and each segment of skin broadcasts a unique identity code. So, if the system identifies damage, it's relatively easy for an operator to pop out the damaged segment and replace it with fresh hardware, and then update any data that links the new segment's ID with its location. The researchers call their development a neuromorphic robotic e-skin, or NRE-skin. "Neuromorphic" as a term is a bit vague, with some people using it to mean a technology that directly follows the principles used by the nervous system. That's definitely not this skin. Instead, it uses "neuromorphic" far more loosely, with the operation of the nervous system acting as an inspiration for the system.The findings have been published in the journal PNAS.

Amid a global DDR5 shortage and soaring prices, Russian hardware enthusiasts are experimenting with do-it-yourself DDR5 RAM by sourcing empty PCBs and soldering memory chips by hand. Tom's Hardware reports: The idea comes from Russian YouTuber PRO Hi-Tech's Telegram channel, where a local enthusiast known as "Vik-on" already performs VRAM upgrades for GPUs, so this is a relatively safe operation for him. According to Vik-on, empty RAM PCBs can be sourced from China for as little as $6.40 per DIMM. The memory chips themselves, though, that's a different challenge.

The so-called spot market for memory doesn't really exist at the moment, since no manufacturer has the production capacity to make more RAM, and even if they did, they'd sell to better-paying AI clients instead. Still, you can find SK Hynix and Samsung chips across Chinese marketplaces if you search for the correct part number, as shown in the attached screenshots.

Moreover, the Telegram thread says it would cost roughly 12,000 Russian Rubles ($152) to build a 16 GB stick with "average" specs, which is about the same as a retail 16 GB kit. There's also a ZenTimings snapshot showing CL28 timings, claiming that even relatively high-end DDR5 RAM can be built using this method, but it won't be cost-effective. Therefore, it doesn't make too much sense just yet to get the BGA rework station out and assemble your own DDR5. Things are expected to get worse, though, so maybe these Russians are on to something.

An anonymous reader quotes a report from Bloomberg: Most people use dating apps to find love. Tiffany Chau used one to hunt for a summer internship. This fall, the 20-year-old junior at California College of the Arts tailored her Hinge profile to connect with people who could offer job referrals or interviews. One match brought her to a Halloween party, where she networked in hopes of landing a product-design internship for the summer. While there, she got some tips from someone who had recently interviewed at Accenture. As for the connection with her date? Not so much. "I feel like my approach to the dating apps is it being another networking platform like everything else, like Instagram or LinkedIn," Chau said.

Chau is among a cadre of workers who are using dating apps to boost their job searches. They're recognizing that the online job hunt is broken as unemployed workers flood the system, AI screens out resumes and many job matching programs are overwhelmed. Automation has squeezed human contact out of hiring, which has pushed applicants to seek any path to a live hiring manager, no matter the means.

The overall US unemployment rate continued to climb throughout 2025, reaching 4.6%, according to the Bureau of Labor Statistics. And while the number of unemployed high school graduates held steady at about 4.4% in November, the rate for workers with a bachelor's degree rose to 2.9% from 2.5% a year ago. About a third of dating app users said they had sought matches for job hook-ups, according to a ResumeBuilder.com survey of about 2,200 US dating site customers in October. Two-thirds targeted potential paramours who worked at a desirable employer. Three-quarters said they matched with people working in roles they wanted. "People are doing it to expand their networks, make connections, because the best way to get a job today is who you know," said Stacie Haller, ResumeBuilder.com's chief career advisor. "Networking is the only way people are rising above the horror show that the job search is today."

OpenAI is offering a $555,000 salary (plus equity) to recruit a new "head of preparedness," a high-pressure role tasked with anticipating and mitigating extreme AI risks. "This will be a stressful job, and you'll jump into the deep end pretty much immediately," said Sam Altman as he launched the hunt to fill "a critical role" to "help the world." The Guardian reports: In what may be close to the impossible job, the "head of preparedness" at OpenAI will be directly responsible for defending against risks from ever more powerful AIs to human mental health, cybersecurity and biological weapons. That is before the successful candidate has to start worrying about the possibility that AIs may soon begin training themselves amid fears from some experts they could "turn against us."

The successful candidate will be responsible for evaluating and mitigating emerging threats and "tracking and preparing for frontier capabilities that create new risks of severe harm." Some previous executives in the post have lasted only for short periods. Altman said on X as he launched the job search: "We have a strong foundation of measuring growing capabilities, but we are entering a world where we need more nuanced understanding and measurement of how those capabilities could be abused, and how we can limit those downsides both in our products and in the world, in a way that lets us all enjoy the tremendous benefits. These questions are hard and there is little precedent."

One user responded sardonically: "Sounds pretty chill, is there vacation included?" What is included is an unspecified slice of equity in OpenAI, a company that has been valued at $500 billion.

Nvidia has completed its previously announced $5 billion investment in Intel, buying over 214 million shares at a fixed price after the deal received clearance from Federal Trade Commission. "The leading AI chip designer said in September it would pay $23.28 per share for Intel common stock, in a deal that is seen as a major financial lifeline for the chipmaker after years of missteps and capital intensive production capacity expansions drained its finances," reports Reuters.

An anonymous reader quotes a report from Ars Technica: China drafted landmark rules to stop AI chatbots from emotionally manipulating users, including what could become the strictest policy worldwide intended to prevent AI-supported suicides, self-harm, and violence. China's Cyberspace Administration proposed the rules on Saturday. If finalized, they would apply to any AI products or services publicly available in China that use text, images, audio, video, or "other means" to simulate engaging human conversation. Winston Ma, adjunct professor at NYU School of Law, told CNBC that the "planned rules would mark the world's first attempt to regulate AI with human or anthropomorphic characteristics" at a time when companion bot usage is rising globally.

[...] Proposed rules would require, for example, that a human intervene as soon as suicide is mentioned. The rules also dictate that all minor and elderly users must provide the contact information for a guardian when they register -- the guardian would be notified if suicide or self-harm is discussed. Generally, chatbots would be prohibited from generating content that encourages suicide, self-harm, or violence, as well as attempts to emotionally manipulate a user, such as by making false promises. Chatbots would also be banned from promoting obscenity, gambling, or instigation of a crime, as well as from slandering or insulting users. Also banned are what are termed "emotional traps," -- chatbots would additionally be prevented from misleading users into making "unreasonable decisions," a translation of the rules indicates.

Perhaps most troubling to AI developers, China's rules would also put an end to building chatbots that "induce addiction and dependence as design goals." [...] AI developers will also likely balk at annual safety tests and audits that China wants to require for any service or products exceeding 1 million registered users or more than 100,000 monthly active users. Those audits would log user complaints, which may multiply if the rules pass, as China also plans to require AI developers to make it easier to report complaints and feedback. Should any AI company fail to follow the rules, app stores could be ordered to terminate access to their chatbots in China. That could mess with AI firms' hopes for global dominance, as China's market is key to promoting companion bots, Business Research Insights reported earlier this month.

AI-generated video tools like OpenAI's Sora will make individual content creators "far, far, far less valuable" as social media platforms shift toward algorithmically generated content tailored to each viewer, according to Michael Mignano, a partner at venture capital firm Lightspeed and who cofounded the podcasting platform Anchor before Spotify acquired it.

Speaking on a podcast, Mignano described a future where content is generated instantaneously and artificially to suit the viewer. The TikTok algorithm is powerful, he said, but it still requires human beings to make content -- and there's a cost to that. AI could drive those costs down significantly. Mignano called this shift the "death of the creator" in a post, acknowledging it was "devastating" but arguing it marked a "whole new chapter for the internet."

In an email to Business Insider, Mignano wrote that quality will win out. "Platforms will no longer reward humans posting the same old, tried and true formats and memes," he wrote. "True uniqueness of image, likeness, and creativity will be the only viable path for human-created content."

The AI industry, for all the anxiety about mass unemployment, is quietly minting entirely new job categories that require distinctly human skills -- empathy, judgment, and the ability to calm down a passenger trapped inside a broken-down robotaxi. Data annotators are no longer just low-paid gig workers tagging images. Experts in finance, law, and medicine now train advanced AI models, earning $90 an hour on average through platforms like Mercor, a startup recently valued at $10 billion, according to CEO Brendan Foody.

Forward-deployed engineers, a role pioneered by Palantir, customize AI tools on-site for clients; YCombinator's portfolio companies now have 63 job postings for such roles, up from four last year. The AI Workforce Consortium, a research group led by Cisco that examined 50 IT jobs across wealthy countries, found AI risk-and-governance specialists to be the fastest-growing category -- outpacing even AI programmers.

The world's largest hotel chains are aggressively pushing customers toward direct bookings as they brace for a future where AI "agents" could reshape how travelers find and reserve rooms. Marriott, Hilton, Hyatt and Wyndham have all expanded their loyalty programs and perks in recent months, aiming to reduce their reliance on online travel agents like Expedia and Booking.com that typically charge commissions of 15 to 25%.

Marriott's Bonvoy program reached almost 260 million members by the end of September, an 18% jump from the prior year. Hilton has lowered the barriers to elite status and struck partnerships that let members spend points outside its hotel portfolio.

AI-powered booking tools could route customers away from brand-conscious decisions, but they could also offer hotels a cheaper distribution channel than traditional OTAs. Marriott CFO Leeny Oberg said at a conference this month that AI bookings "could potentially be cheaper than the OTAs." Wyndham CEO Geoff Ballotti called tools like ChatGPT and Gemini "a unique opportunity" to reduce OTA dependency.

LG has announced a new premium gaming monitor brand called UltraGear, and the lineup's headline feature is what the company claims is the world's first 5K AI upscaling technology -- an on-device solution that analyzes and enhances content in real time before it reaches the panel, theoretically letting gamers enjoy 5K-class clarity without needing to upgrade their GPUs.

The initial UltraGear evo roster includes three monitors. The 39-inch GX9 is a 5K2K OLED ultrawide that can run at 165Hz at full resolution or 330Hz at WFHD, and features a 0.03ms response time. The 27-inch GM9 is a 5K MiniLED display that LG says dramatically reduces the blooming artifacts common to MiniLED panels through 2,304 local dimming zones and "Zero Optical Distance" engineering.

The 52-inch G9 is billed as the world's largest 5K2K gaming monitor and runs at 240Hz. The AI upscaling, scene optimization, and AI sound features are available only on the 39-inch OLED and 27-inch MiniLED models. All three will be showcased at CES 2026. No word on pricing or when the sets will hit the market.