Hypernetworks have gained attention for their ability to efficiently adapt large models or train generative models of neural representations. Despite their effectiveness, training hyper networks are often labor-intensive, requiring precomputed optimized weights for each data sample. This reliance on ground truth weights necessitates significant computational resources, as seen in methods like HyperDreamBooth, where preparing training data can take extensive GPU time. Additionally, current approaches assume a one-to-one mapping between input samples and their corresponding optimized weights, overlooking the stochastic nature of neural network optimization. This oversimplification can constrain the expressiveness of hypernetworks. To address these challenges, researchers aim to amortize per-sample optimizations into hypernetworks, bypassing the need for exhaustive precomputation and enabling faster, more scalable training without compromising performance.Recent advancements integrate gradient-based supervision into hypernetwork training, eliminating the dependency on precomputed weights while maintaining stability and scalability. Unlike traditional methods that rely on pre-computed task-specific weights, this approach supervises hypernetworks through gradients along the convergence path, enabling efficient learning of weight space transitions. This idea draws inspiration from generative models like diffusion models, consistency models, and flow-matching frameworks, which navigate high-dimensional latent spaces through gradient-guided pathways. Additionally, derivative-based supervision, used in Physics-Informed Neural Networks (PINNs) and Energy-Based Models (EBMs), informs the network through gradient directions, avoiding explicit output supervision. By adopting gradient-driven supervision, the proposed method ensures robust and stable training across diverse datasets, streamlining hypernetwork training while eliminating the computational bottlenecks of prior techniques.Researchers from the University of British Columbia and Qualcomm AI Research propose a novel method for training hypernetworks without relying on precomputed, per-sample optimized weights. Their approach introduces a Hypernetwork Field that models the entire optimization trajectory of task-specific networks rather than focusing on final converged weights. The hypernetwork estimates weights at any point along the training path by incorporating the convergence state as an additional input. This process is guided by matching the gradients of estimated weights with the original task gradients, eliminating the need for precomputed targets. Their method significantly reduces training costs and achieves competitive results in tasks like personalized image generation and 3D shape reconstruction.The Hypernetwork Field framework introduces a method to model the entire training process of task-specific neural networks, such as DreamBooth, without needing precomputed weights. It uses a hypernetwork, which predicts the parameters of the task-specific network at any given optimization step based on an input condition. The training relies on matching the gradients of the task-specific network to the hypernetworks trajectory, removing the need for repetitive optimization for each sample. This method enables accurate prediction of network weights at any stage by capturing the full training dynamics. It is computationally efficient and achieves strong results in tasks like personalized image generation.The experiments demonstrate the versatility of the Hypernetwork Field framework in two tasks: personalized image generation and 3D shape reconstruction. The method employs DreamBooth as the task network for image generation, personalizing images from CelebA-HQ and AFHQ datasets using conditioning tokens. It achieves faster training and inference than baselines, offering comparable or superior performance in metrics like CLIP-I and DINO. For 3D shape reconstruction, the framework predicts occupancy network weights using rendered images or 3D point clouds as inputs, effectively replicating the entire optimization trajectory. The approach reduces compute costs significantly while maintaining high-quality outputs across both tasks.In conclusion, Hypernetwork Fields presents an approach to training hypernetworks efficiently. Unlike traditional methods that require precomputed ground truth weights for each sample, this framework learns to model the entire optimization trajectory of task-specific networks. By introducing the convergence state as an additional input, Hypernetwork Fieldsestimatese the training pathway instead of only the final weights. A key feature is using gradient supervision to align the estimated and task network gradients, eliminating the need for pre-sample weights while maintaining competitive performance. This method is generalizable, reduces computational overhead, and holds the potential for scaling hypernetworks to diverse tasks and larger datasets.Check out the Paper. All credit for this research goes to the researchers of this project. Also,dont forget to follow us onTwitter and join ourTelegram Channel andLinkedIn Group. Dont Forget to join our60k+ ML SubReddit. Sana Hassan+ postsSana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions. [Download] Evaluation of Large Language Model Vulnerabilities Report (Promoted)

Formal mathematical reasoning represents a significant frontier in artificial intelligence, addressing fundamental logic, computation, and problem-solving challenges. This field focuses on enabling machines to handle abstract mathematical reasoning with precision and rigor, extending AIs applications in science, engineering, and other quantitative domains. Unlike natural language processing or vision-based AI, this area uniquely combines structured logic with the creative elements of human-like reasoning, holding the promise of transformative advancements.Despite progress in applying AI to mathematics, significant challenges remain in addressing complex, abstract problems. Many AI models excel in solving high school-level mathematical problems but struggle with advanced tasks such as theorem proving and abstract logical deductions. These challenges are compounded by data scarcity in advanced mathematics and the inherent difficulty of verifying intricate logical reasoning. This has created a critical need for new approaches to bridge these gaps.Current methods in mathematical AI largely rely on natural language processing to train large language models (LLMs) on informal datasets. These datasets include problems with step-by-step solutions derived from sources like academic papers and online forums. While these approaches have led to successes in standardized benchmarks, they remain limited in addressing abstract and higher-level problems. Informal approaches often generate errors in reasoning and are constrained by the availability of quality data, underscoring the limitations of relying solely on these methods.Researchers from Meta FAIR, Stanford University, UC Berkeley, the University of Edinburgh, and UT Austin have introduced formal mathematical reasoning as an innovative solution. This approach uses formal systems such as Lean, Coq, and Isabelle to validate mathematical reasoning. These systems enable rigorous verification of theorems and proofs, reducing errors and providing feedback to improve AI capabilities. By grounding reasoning in formal logic, these methods create a robust framework for tackling abstract mathematical challenges while addressing data scarcity and correctness verification issues.Formal reasoning employs proof assistants to ensure the soundness of mathematical proofs. The methodology combines autoformalizationtranslating informal mathematics into formal syntaxwith reinforcement learning to improve models iteratively. For example, Lean, a widely used proof assistant, allows researchers to validate logical proofs through type checking. The process involves breaking down complex problems into smaller, verifiable sub-goals. Researchers also utilize synthetic data generation, creating extensive datasets from foundational axioms to train and refine AI models. These advancements have enabled the integration of formal verification techniques into advanced mathematical reasoning systems, significantly enhancing their accuracy and robustness.Formal reasoning systems have delivered remarkable performance improvements. AlphaProof achieved a silver medal-level performance in the International Mathematical Olympiad (IMO) by leveraging formal methods and synthetic data. It formalized over one million IMO-like problems, generating one hundred million formal theorems and corresponding proofs through iterative refinement. Similarly, AlphaGeometry successfully solved complex geometry problems by combining domain-specific systems with symbolic representations. These achievements highlight the capability of formal reasoning to address abstract challenges, surpassing traditional informal methods accurately. Notably, the systems demonstrated superior performance in theorem proving, achieving success rates comparable to experienced human mathematicians in certain domains.Integrating formal reasoning and artificial intelligence is pivotal in advancing mathematical discovery. Researchers are paving the way for AI systems capable of solving increasingly complex mathematical problems by addressing critical challenges such as data scarcity and logical verification. The efforts led by institutions such as Meta FAIR and their collaborators underscore the transformative potential of combining formal rigor with cutting-edge AI methodologies. This approach enhances AIs capabilities in mathematics and sets the stage for future innovations across diverse scientific and engineering disciplines.Check out the Paper. All credit for this research goes to the researchers of this project. Also,dont forget to follow us onTwitter and join ourTelegram Channel andLinkedIn Group. Dont Forget to join our60k+ ML SubReddit. Nikhil+ postsNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute. [Download] Evaluation of Large Language Model Vulnerabilities Report (Promoted)

Welcome toIndie App Spotlight. This is a weekly 9to5Mac series where we showcase the latest apps in the indie app world. If youre a developer and would like your app featured, getin contact.Type is a minimalist note taking app for your Mac, allowing you to easily capture notes and keep them organized all from a simple keyboard shortcut. Its the best way to jot something down in a pinch, without any of the potential distractions.How it worksType works similar to Spotlight, in the sense that its a text box that pops up when you hit a certain keybind. I personally mapped mine to alt-space, making it easily accessible. Once you have the window open, you can create a new note, and just write anything into that text box as you please. If youre in a meeting and only want to briefly take down notes, this is great for that. It keeps a timestamp on your thoughts as you enter them, allowing you to easily recall details. You can also separate different events into different notes, making it easy to organize. You can also just have one note that you spam everything into, if thats your cup of tea. Type stores your notes in text files locally on your Mac, making it private and easy to follow. Your data isnt trapped in the app.All of the featuresType has the ability to import notes from other apps, such as Obsidian, allowing users to add on top of them. You can also customize your date format, switch between plaintext and markdown, and unlink a note from Type allowing you to declutter your interface without actually deleting that information.The developers also intend to add the ability to always keep the app open, in case keyboard shortcuts arent your thing. Youll also soon be able to search for notes and export them.Type is available for free on the Mac App Store as a 7 day trial, and you can purchase the full app for $7.99 as a one time purchase afterwards. It requires macOS 13.0 Ventura or later.Follow Michael:X/Twitter,Bluesky,InstagramAdd 9to5Mac to your Google News feed. FTC: We use income earning auto affiliate links. More.Youre reading 9to5Mac experts who break news about Apple and its surrounding ecosystem, day after day. Be sure to check out our homepage for all the latest news, and follow 9to5Mac on Twitter, Facebook, and LinkedIn to stay in the loop. Dont know where to start? Check out our exclusive stories, reviews, how-tos, and subscribe to our YouTube channel

Homedics Sound Spa Best overall white noise machine $24 at Amazon LectroFan Best simple white noise machine $50 at Amazon Sound Plus Sleep SE Best white noise machine with additional sound options $130 at Amazon Hatch Baby Rest Best white noise machine for babies and kids $70 at Amazon Hatch Restore 2 Best 2-in-1 white noise machine and alarm clock $170 at Amazon Honeywell Dreamweaver Sleep Fan (Update: Currently Unavailable) Best multipurpose white noise machine $57 at Amazon There are obvious benefits to getting a good nights sleep. You're likely to wake up feeling rested, restored and more ready for the day. When you struggle, creating a relaxing and soothing space can help to get the space you need to sleep better. Adding a white noise machine can make a huge difference in your bedroom.Many peopletoss and turnor wake up frequently at night. If that's you, you should be aware that you could fall asleep and stay asleep easier with a white noise machine. You could also invest in one to help the insomniac on your holiday shopping list.Read more:4 Best Noise Colors to Boost Your Sleep QualityWhite noise machines are so beloved because they can help youfall asleep and stay asleepby cloaking extraneous outside noises. When I lived in an apartment complex with thin walls, a sound machine drowned out environmental noises like crying babies, revving engines and even barking dogs. To help everyone get more shut-eye and snooze more deeply, I tested a selection of white noise machines. If they can send me -- the self-proclaimed lightest sleeper ever -- to dreamland, there's hope they can help you get a good night's sleep, too. The best white noise machine Angela Lang/CNETWe tested the best white noise machines on the market and narrowed our top pick to the Homedics Sound Spa. We chose this as the best overall white noise machine because of its unique features and affordability. The best white noise machine for you is the one that checks all the boxes for your specific needs. Angela Lang/CNET A favorite on Amazon, the Homedics Sound Spa strikes the perfect balance of quality and budget; it's a good value. This white noise machine has a timer you can set for 15, 30 or 60 minutes and plays six calming nature sounds and sleep sounds. Choose from the soothing sound options of white noise, brook, thunder, summer night, ocean and rain. You can plug the Sound Spa into a wall outlet or use batteries to take it on your travels, which brings me to one of the best features -- that it's incredibly portable. This white noise sound machine is lightweight and thin, so you can slip it into a carry-on or personal item with no problem.What I love: The Homedics Sound Spa is inexpensive, easy to use and portable. It produces high-quality sound for the price (although the rain setting has an obvious loop), and it has enough sound settings for the average person.What I don't love: When the Sound Spa is turned on, there's a little green light on top of the machine. I'm pretty sensitive to light when falling asleep and while sleeping (I'm a very light sleeper), so this green light felt very bright and unnecessary to me. If you want pitch-black darkness, the Homedics Sound Spa is probably not the right choice for you, or you can try covering up the light. $24 at Amazon Angela Lang/CNET Unlike many models, the LectroFan doesn't have sounds of birds chirping, ocean waves, water falling or other nature sounds, and I think that's a good thing. It means that people who buy a white noise machine for white noise are getting exactly what they want. The LectroFan has 20 total sounds: 10 white noise sounds and 10 fan sounds. It only has three buttons on the front: power, volume control and sound selection. The adjustable volume control is pretty sensitive, and I've never had a problem finding just the right volume to mask outside sounds on any given night. I've used the LectroFan on and off for about six months, both at home and while traveling.What I love: Iadore the simplicity of the LectroFan. Its small size and portability add to that.Thisis the perfect white noise machine for people who don't need many sound options butdoneed to bring their white noise machine whenthey travel.What I don't love: There's not anything to dislike about the LectroFan, unless you're looking for something with nature sounds. If that's the case, definitely look elsewhere. $50 at Amazon Sound of Sleep/Screenshot by CNET If you want a white noise machine that's much more than just a white noise machine, the Sound Plus Sleep SE from Sound of Sleep is the one you need. It may cost more than most people would want to spend on a white noise machine, but you get your money's worth. I've been using it for more than six months, and not only does it put me to sleep (and keep me asleep), but it also helps me focus while working from home and drown out distracting sounds.What I love: The sheer range of sounds you get with this white noise machine. I use the pink noise setting to fall asleep and the meditation or rainfall settings to focus while I'm working. I also love the acute volume control and sleek design. It doesn't look out of place on my nightstand or my desk.What I don't love: There's nothing I dislike about the Sound+Sleep SE. It's expensive for a sound machine, but it's well worth the price if you have trouble falling asleep at night. You can't put a price tag on feeling well-rested. $130 at Amazon Angela Lang/CNET CNET's Vanessa Hand Orellana tested this noise machine, and I'll share her comments here.The Hatch Baby Rest (or Hatch Rest 2nd Gen) is a sound machine, night lightandalarm in one. As a sound machine and night light, it's pretty straightforward. You can turn the sound and light on from the device itself, change the type of sound or color of the lightandraise or lower the volume and brightness.You'll have to pair it with the app to do anything more complicated than that.If you have the Rest Plus, the app also serves as a baby monitor (audio only) to [let you] either listen in or talk to your baby. It'll still play the sound even when your phone screen is in standby mode.What I love: There are similar products out there that offer similar features for less -- the Rest retails for $55 while the Rest Plus (which also has a digital clock and baby monitor) is $90 -- but what drew me to use the Rest was the level of customization in the app and the sleek design. It didn't clash with my baby's nursery, the one room in the house that I put a lot of creative effort into. It looks like a little candle and doesn't take up much space on your bookshelf or countertop.What I don't love: You will need access to an outlet to plug it in, although the Rest Plus can actually hold a charge if you want to move it somewhere else during naptime. $70 at Amazon $60 at Hatch Hatch/Screenshot by CNET The Hatch Restore 2 is a great multifunctional white noise machine that also serves as a sunrise alarm clock (something you should consider if you hate waking up to abrupt and invasive alarm sounds).What I loved most about the Hatch Restore is its ease of use: With the Hatch Sleep app, you can set up an entire bedtime routine with multiple alarms to have separate ones for weekdays and weekends. You can also adjust volume, light intensity and sounds. For example, here's what I set up on my Hatch Restore:A bedtime routine that starts with 20 minutes of reading. The Hatch Restore softly illuminates my room with peach-colored light.A 10-minute wind-down guided meditation. You can choose from several in the Hatch app, plus more with a premium subscription.Pink noise that continues until my alarm goes off.A 30-minute sunrise alarm that culminates in the Mountain Alps sound: I wake to what sounds like an early winter morning.What I love: You set all of this up in the app, but you don't need your phone nearby to start your bedtime routine: You can simply tap the button on top of the Hatch Restore to get things going. Without a premium subscription, you have access to more than 20 hues of light and 31 sleep and wake sounds. What I don't love: If you'd like to explore more hues and sounds, you have to subscribe and unlock additional content for $5 a month or $50 a year. $170 at Amazon $170 at Hatch Honeywell/Screenshot by CNET Honeywell makes trustworthy, high-quality products, and the Dreamweaver Sleep Fan is no different. This small bedside fan doubles as a sound machine, but it doesn't actually use white noise. It uses pink noise, a softer type of ambient noise that's been shown to increase time spent in deep sleep and improve memory. When I was living in a busy apartment complex, this fan-and-pink-noise combo helped drown out the sounds of cars and passers-by.What I love: There's a little night light on top of the unit that has three levels; if you like to sleep in pitch-black darkness, tap it three times to turn it off completely. If you like a little bit of light, the Dreamweaver can be your white noise machine, night light and fan all in one.What I don't love: It seems like the fan collects dust pretty easily, but that's what fans do. It's nothing a quick wipe-down can't fix. $57 at Amazon How we tested the best white noise machinesTo determine our roundup of best white noise machines, we considered factors like functionality, special features, range of noisesandprice. These selectionsare basedon personal preference, and you should consult your doctor before buying a white noise machine to ensure you get the best one for your needs.Other white noise machines These two white noise machines aren't my top choices, but they still offer value and might be right for you. YogaSleep Dohm ClassicDohm proclaims itself the first company to manufacture white noise machines, and the Dohm Classic is the original sound machine for sleep. The Dohm Classic is super simple, much like the LectroFan: It only produces white noise, and the controls are on, off, high and low. Once you choose high or low, rotate the cap to adjust the sound to the perfect level for you.If you're really looking for simplicity, the Dohm Classic embodies it. To me, this white noise machine feels a little limited for the price, and the sound quality isn't as great as some of the others on this list. It comes from a reputable brand and has nearly 4,000 positive reviews on Amazon, so it's worth looking into if you want a trustworthy product in the middle of what seems to be the price range (about $15 to $90) for white noise machines. Snooz White Noise Sound MachineThe Snooz White Noise Sound Machine is a good choice for people who want an authentic fan sound. Most white noise machines come with a fan sound, but if you're used to falling asleep with a fan, you can tell the difference.That's where the Snooz comes in: This sleep machine is a simple acoustic enclosure with a mechanical fan on the inside. This means the sound doesn't loop, so that's a bonus. By rotating the body of the machine, you can alter the pitch of the fan sound to find one that best drowns out the sounds keeping you awake.I would probably just prefer to sleep with a fan because I sleep warm anyway. It's kind of pricey for a white noise machine with such limited sound options, but the Snooz could work well for people who like fan sounds but don't want cold air. Best white noise machine FAQs What is a white noise machine? A white noise machine is a device that emits a constant frequency of sound to help make ambiance or environmental noise. Many people use them to help them fall asleep. Are white noise machines good for you? The use of white noise machines is generally considered to be safe. People with tinnitus can experience a worsening of symptoms with prolonged use of a white noise machine. What is the best white noise machine? Our top pick for best white noise machine is the Homedics Sound Spa. It's an affordable device with plenty of sounds to choose from. Should I keep white noise on all night? You can keep white noise on all night; however, it is not necessary. If you are playing white noise for a baby, you can turn it off when they are asleep. What color noise is best for sleep? The best noises for sleep include white, brown and pink. The best noise for sleep is different for each person; find the one that works best for you.

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In BriefPosted:2:00 PM PST December 28, 2024Image Credits:Justin Sullivan / Getty ImagesGoogle CEO says AI model Gemini will the companys biggest focus in 2025CEO Sundar Pichai reportedly told Google employees that 2025 will be a critical year for the company.CNBC reports that it obtained audio from a December 18 strategy meeting where Pichai and other executives put on ugly holiday sweaters and laid out their priorities for the coming year.I think 2025 will be critical, Pichai said. I think its really important we internalize the urgency of this moment, and need to move faster as a company. The stakes are high.The moment, of course, is one where tech companies like Google are making heavy investments in AI, and often with mixed results. Pichai acknowledged that the company has some catching up to do on the AI side he described the Gemini app (based on the companys AI model of the same name) as having strong momentum, while also acknowledging we have some work to do in 2025 to close the gap and establish a leadership position there as well.Scaling Gemini on the consumer side will be our biggest focus next year, he said.Topics

LAS VEGAS, NEVADA - APRIL 13: Max Holloway reacts to the knockout of Justin Gaethje in the BMF ... [+] championship fight during the UFC 300 event at T-Mobile Arena on April 13, 2024 in Las Vegas, Nevada. (Photo by Jeff Bottari/Zuffa LLC via Getty Images)Zuffa LLC via Getty ImagesMax Holloways days as a featherweight are over. He said farewell to the division he once ruled following his TKO loss to Ilia Topuria in October, and the callouts at lightweight have already begun to roll in.Holloway has officially moved up to lightweight, though hes still No. 2 in the featherweight rankings. We dont know when Holloway will return to the Octagon, but when he does, No. 10-ranked 155-pounder Renato Moicano is waiting for him.Moicano told MMA Fighting that he would love to fight Holloway for his BMF title to welcome him to the lightweight division.The fight makes sense for several reasons, though there is another scrap that is even more logical.Moicanos persona perfectly fits the BMF vibe, so the promotion of the fight is easy. While many argue Moicano should be higher in the rankings, at No. 10, hes in a good position to be elevated financially and professionally if he can beat Holloway.MORE FOR YOUFor Holloway, who proved he can compete at or near the highest level in the lightweight division when he knocked out Justin Gaethje at 155 pounds in April at UFC 300, fighting Moicano is appropriate.BROOKLYN, NEW YORK - APRIL 07: Renato Moicano of Brazil poses for a portrait backstage after his ... [+] victory over Calvin Kattar during the UFC 223 event inside Barclays Center on April 7, 2018 in Brooklyn, New York. (Photo by Mike Roach/Zuffa LLC/Zuffa LLC via Getty Images)Zuffa LLC via Getty ImagesWhile Holloway is one of the biggest stars in the sport and currently ranked No. 5 at lightweight, he is coming off a stoppage loss. Moicano is on a four-fight win streak. Holloway may not want to look down the rankings and may instead prefer to take one of several potential rematches with legends like Charles Oliveira or Dustin Poirier, whom he has lost to twice.Holloway defeated Oliveira in August 2015, but it was a TKO because of a shoulder injury. Neither man had much of an advantage. Oliveira suffered the injury during a grappling sequence, and the two legends have never run it back.Its a fight that makes a lot of sense, and unfortunately for Moicano, its an even better fight for Holloway at this point in his career. Holloway has earned the right to take his time, enjoy his family, and recharge before making his run at lightweight.If Holloway can win one or two fights at lightweight, he likely positions himself to challenge for the titleno matter who the champion is. Thatll be the case even if Topuria has moved up to 155 pounds and won the championship there.It seems unlikely well see Holloway in the cage before mid-to-late springif not early summer. When he does return, Id expect him to look up, not down the rankings for an opponent.Whats Next for the UFC?Were still two weeks away from the next UFC event, which will be the first in 2025. UFC Vegas 101 is headlined by Mackenzie Derns rematch with Amanda Ribas. Dern has the opportunity to gain revenge on Ribas after she lost their first fight by unanimous decision in 2019.Here is a look at the entire card:Mackenzie Dern vs. Amanda Ribas - StrawweightSantiago Ponzinibbio vs. Carlston Harris - WelterweightAbdul Razak Alhassan vs. Csar Almeida - MiddleweightChris Curtis vs. Roman Kopylov - MiddleweightAustin Bashi vs. Christian Rodriguez - FeatherweightPunahele Soriano vs. Uro Medi - WelterweightJose Johnson vs. Felipe Bunes - FlyweightMarco Tlio vs. Ihor Potieria - MiddleweightThiago Moiss vs. Trey Ogden - LightweightAndreas Gustafsson vs. Preston Parsons - WelterweightErnesta Kareckaite vs. Nicolle Caliari - FlyweightMagomed Gadzhiyasulov vs. Bruno Lopes - Light HeavyweightViktoriia Dudakova vs. Fatima Kline - StrawweightNurullo Aliev vs. Yanal Ashmouz - Lightweight

Here's some help with today's Quordle, including hints and the answers.SOPA Images/LightRocket via Getty ImagesLooking for Saturdays Quordle hints and answers? You can find them here:Hey, folks! Hints and the answers for todays Quordle words are just ahead.How To Play QuordleFor any newcomers joining us, heres how to play Quordle: Just start typing in words. You have four five-letter words to guess and nine attempts to find them all. The catch is that you play all four words simultaneously.If you get a letter in the right place for any of the four words, it will light up in green. If a word contains a letter from one of your guesses but its in the wrong place, it will appear in yellow. You could always check out the practice games before taking on the daily puzzle.Here are some hints for todays Quordle game, followed by the answers:What Are Todays Quordle Hints?Word 1 (top left) hint containing less extraneous matterWord 2 (top right) hint the sound of something wet forcefully colliding with a solid objectWord 3 (bottom left) hint adjective for something afflicted with rabiesWord 4 (bottom right) hint master of ceremoniesOne of the words has a pair of repeated letters. Another has a letter that appears three timesTodays words start with P, S, R and EMORE FOR YOUWhat Are Todays Quordle Answers?Spoiler alert! Dont scroll any further down the page until youre ready to find out todays Quordle answers.This is your final warning!Todays words are...PURERSPLATRABIDEMCEEThats all there is to it for todays Quordle clues and answers. Be sure to check my blog for hints and the solution for Mondays game if you need them.

Ajit Pai urged the Supreme Court to uphold a federal law that could ban TikTok.The TikTok law requires its Chinese parent company, ByteDance, to divest to avoid a US ban.Pai, the FCC chair during Trump's first term, led efforts against other Chinese tech firms.Former Federal Communications Commission Chairman Ajit Pai is siding with Congress and against his former boss, president-elect Donald Trump in support of a federal law that could ban TikTok.In a brief filed with the Supreme Court on Friday, Pai joined Thomas Feddo, an official in the Department of Treasury during Trump's first term, to call on the court to uphold the law, telling the justices that it has precedent.Trump also filed a brief with the Supreme Court on Friday, asking the court to put the law on hold. It's set to go into effect on January 19, one day before Trump assumes office for the second time.Congress passed the bipartisan law in April, citing national security concerns over the Chinese ownership of the popular social media company. It established a nine-month deadline for TikTok's Chinese parent company, ByteDance, to sell the app to a non-Chinese company or face a ban in the United States.TikTok filed a suit in May, arguing that the law violates the First Amendment. The DC Circuit Court upheld the law on December 6. TikTok then filed an appeal to the Supreme Court on December 18. The court is expected to hear arguments on January 10.Pai was one of numerous people and organizations, from members of Congress to free speech groups, who filed briefs to the Supreme Court in support or opposition to the law.Pai headed the FCC from 2012 to 2016 under President Barack Obama and then from 2017 to 2021 under President Donald Trump.In his filing, Pai's attorneys argued that the law has precedent. They said he "spearheaded rulemaking" that prevented communications companies receiving federal funding from purchasing or using equipment from Chinese-owned tech companies like Huawei and ZTE over data privacy and security concerns.The briefing says Pai also "put in place" the process for designating companies that could be a risk to national security. The document says these measures are "extremely similar" to the TikTok law passed by Congress."Congress and the Executive Branch have routinely identified in legislation or regulation specific companies under China's control that pose particular national security risk," the document says."In these other instances, just as with the Divestiture Act, Congress put in place a process for future designations in addition to naming particular threats."Pai was a controversial figure during his leadership of the FCC. Under his tenure, the FCC ended net neutrality rules, which had governed the internet and been encoded in 2015. Net neutrality is the idea that internet service providers should treat all data the same, and not give preference to certain websites or slow down others.In April 2024, the FCC announced an order that restored net neutrality as an industry standard.Searchlight Capital the private equity firm where Pai has been a partner since 2021, when he left his post at the FCC did not immediately return a request for comment from Business Insider. An attorney for Pai declined to comment.

Ridley Scott has advised against vacationing in Malta, a film location for "Gladiator II."Politicians in Malta are not happy about it.Malta paid the "Gladiator II" producers $48 million for filming there.Director Ridley Scott has advised people to avoid visiting Malta, one of the filming locations for his action flick, "Gladiator II."His remark upset politicians in Malta, where a local incentive funneled millions in rebates to the movie's production company."I wouldn't advise going there on holiday," Scott said during a discussion in front of a live audience with director Christopher Nolan earlier this month. "I would not go back there on holiday.""Gladiator II" received a 46.7 million about $48 million rebate for working in the country, according to the Times of Malta. Ridley Scott and Paul Mescal attended the "Gladiator II" global premiere in November. Shane Anthony Sinclair/Getty Images Malta's Film Commissioner Johann Grech originally shared an edited clip of the interview on Facebook that did not include Scott's comment about visiting Malta. The director also said the architecture in Malta "goes from medieval right through to renaissance, and when it's good, it's spectacular."However, once the full version made the rounds, some members of Malta's parliament were not happy. Julie Zahra, the opposition party's minister of culture, said in a Facebook post on Friday that Grech had been "humiliated" by Scott and should step down from his position. She then urged the film industry to also focus on local talent, saying the industry "deserves much better."Later that day, Adrian Delia, another member of Malta's parliament, tagged Scott in a separate Facebook post. Delia said Scott had achieved worldwide fame and accolades and "mesmerized millions with tales of historic legend brought to life.""Sadly however seems you have not managed to learn respect. Towards those who welcomed you warmly, shared and lent their history and culture and showered you with millions to credit to your tax bill. How unfortunate," the post read.Malta is one of several international destinations, including Croatia and Iceland, offering filmmakers rebates. The rebates are a way to entice filmmakers, who often hire local workers and contribute to the economy far beyond the cost of the rebate.Tourism Minister Clayton Bartolo previously defended Malta's rebate incentive during an interview with The Malta Independent published in 2023."When we say we will give 47 million as a cash rebate, it means that while this production is being filmed in our country, over 110 million is being spent. So giving the impression that the country is losing money is completely wrong, is misleading," he told the outlet.Bartolo said this method of investing in the film industry has provided jobs to local residents."These people who are earning money or improving their skills to then be able to work in Malta or abroad, are we going to lose them this work? Or are we going to say we will continue investing in this industry to really increase opportunities, improve the skills of our crews," he said.Representatives for Scott, Grech, Zahra, Delia, Paramount Global, and the Malta Film Commission did not immediately respond to a request for comment from Business Insider.