Apple is set to have a busy spring with new iPads, iPhone SE 4, and M4 in MacBook Air, but those new MacBooks could come earlier according to a new rumor.M4 MacBook Air could arrive earlier in 2025 than initially expectedMountains of rumors indicate that Apple is set to announce a handful of products in early 2025. It seemed they would all release in close proximity, perhaps like the week of releases in October, but a new rumor indicates otherwise.According to an X post from Bloomberg's Mark Gurman, Apple will announce new iPads, an iPhone SE, and M4-equipped MacBook Airs in early 2025. However, the MacBook Air update will be released earlier than the other products. Rumor Score: Likely Continue Reading on AppleInsider | Discuss on our Forums

A MacBook Air price war continues as retailers vie for your year-end shopping dollars, with Apple's 15-inch MacBook Air with 16GB RAM marked down to $1,099 at Amazon and Best Buy through Christmas Eve.Save $200 on a MacBook Air 15-inch.You can snag the discounted $1,099 price at both Best Buy and Amazon, as both retailers duke it out for the lowest price on the standard 15-inch MacBook Air configuration. This M3 model features a 10-core GPU along with 16GB of unified memory and 256GB of storage. Normally $1,299, the $200 discount is substantial, especially considering Apple recently began including 16GB of RAM in the standard model over the previous 8GB.Buy for $1,099 Continue Reading on AppleInsider | Discuss on our Forums

20,000 Leagues Under the Sea is an American silent film directed by Stuart Paton and released on December24, 1916. Based primarily on the 1870 novel Twenty Thousand Leagues Under the Seas by Jules Verne, the film also incorporates elements from Verne's 1875 novel The Mysterious Island. This was the first motion picture filmed underwater. Actual underwater cameras were not used, but a system of watertight tubes and mirrors allowed the camera to shoot reflected images of underwater scenes staged in shallow sunlit waters in the Bahamas. For the scene featuring a battle with an octopus, cinematographer John Ernest Williamson devised a viewing chamber called the "photosphere", a 6-by-10-foot (1.8-by-3.0-metre) steel globe in which a cameraman could be placed. The film was made by the Universal Film Manufacturing Company (now Universal Pictures), not then known as a major motion picture studio, and took two years to make, at the cost of $500,000.Film credit: Stuart PatonRecently featured: George N. BarnardCommon starlingCholatseArchiveMore featured pictures

December 24Christmas Island (Kiritimati)759 The Tang-dynasty poet Du Fu departed for Chengdu, where he lived for the next five years and composed poems about life in his thatched cottage.1777 An expedition led by English explorer James Cook reached Christmas Island (pictured), the largest coral atoll in the world.1814 The United Kingdom and the United States signed a peace treaty in Ghent, present-day Belgium, ending the War of 1812.1987 About 20,000 protesters marched in a civil rights demonstration in Forsyth County, Georgia, United States.1999 Jihadists linked to al-Qaeda hijacked Indian Airlines Flight814 to force the release of Islamist figures held in prison in India.Maslama ibn Abd al-Malik (d.738)George Crabbe (b.1754)Adam Exner (b.1928)Turid Birkeland (d.2015)More anniversaries: December 23December 24December 25ArchiveBy emailList of days of the yearAbout

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreMRI images are understandably complex and data-heavy.Because of this, developers training large language models (LLMs) for MRI analysis have had to slice captured images into 2D. But this results in just an approximation of the original image, thus limiting the models ability to analyze intricate anatomical structures. This creates challenges in complex cases involving brain tumors, skeletal disorders or cardiovascular diseases.But GE Healthcare appears to have overcome this massive hurdle, introducing the industrys first full-body 3D MRI research foundation model (FM) at this years AWS re:Invent. For the first time, models can use full 3D images of the entire body.GE Healthcares FM was built on AWS from the ground up there are very few models specifically designed for medical imaging like MRIs and is based on more than 173,000 images from over 19,000 studies. Developers say they have been able to train the model with five times less compute than previously required.GE Healthcare has not yet commercialized the foundation model; it is still in an evolutionary research phase. An early evaluator, Mass General Brigham, is set to begin experimenting with it soon.Our vision is to put these models into the hands of technical teams working in healthcare systems, giving them powerful tools for developing research and clinical applications faster, and also more cost-effectively, GE HealthCare chief AI officer Parry Bhatia told VentureBeat.Enabling real-time analysis of complex 3D MRI dataWhile this is a groundbreaking development, generative AI and LLMs are not new territory for the company. The team has been working with advanced technologies for more than 10 years, Bhatia explained.One of its flagship products is AIR Recon DL, a deep learning-based reconstruction algorithm that allows radiologists to more quickly achieve crisp images. The algorithm removes noise from raw images and improves signal-to-noise ratio, cutting scan times by up to 50%. Since 2020, 34 million patients have been scanned with AIR Recon DL.GE Healthcare began working on its MRI FM at the beginning of 2024. Because the model is multimodal, it can support image-to-text searching, link images and words, and segment and classify diseases. The goal is to give healthcare professionals more details in one scan than ever before, said Bhatia, leading to faster, more accurate diagnosis and treatment.The model has significant potential to enable real-time analysis of 3D MRI data, which can improve medical procedures like biopsies, radiation therapy and robotic surgery, Dan Sheeran, GM for health care and life sciences at AWS, told VentureBeat.Already, it has outperformed other publicly-available research models in tasks including classification of prostate cancer and Alzheimers disease. It has exhibited accuracy up to 30% in matching MRI scans with text descriptions in image retrieval which might not sound all that impressive, but its a big improvement over the 3% capability exhibited by similar models.It has come to a stage where its giving some really robust results, said Bhatia. The implications are huge.Doing more with (much less) dataThe MRI process requires a few different types of datasets to support various techniques that map the human body, Bhatia explained.Whats known as a T1-weighted imaging technique, for instance, highlights fatty tissue and decreases the signal of water, while T2-weighted imaging enhances water signals. The two methods are complementary and create a full picture of the brain to help clinicians detect abnormalities like tumors, trauma or cancer.MRI images come in all different shapes and sizes, similar to how you would have books in different formats and sizes, right? said Bhatia.To overcome challenges presented by diverse datasets, developers introduced a resize and adapt strategy so that the model could process and react to different variations. Also, data may be missing in some areas an image may be incomplete, for instance so they taught the model simply to ignore those instances.Instead of getting stuck, we taught the model to skip over the gaps and focus on what was available, said Bhatia. Think of this as solving a puzzle with some missing pieces.The developers also employed semi-supervised student-teacher learning, which is particularly helpful when there is limited data. With this method, two different neural networks are trained on both labeled and unlabeled data, with the teacher creating labels that help the student learn and predict future labels.Were now using a lot of these self-supervised technologies, which dont require huge amounts of data or labels to train large models, said Bhatia. It reduces the dependencies, where you can learn more from these raw images than in the past.This helps to ensure that the model performs well in hospitals with fewer resources, older machines and different kinds of datasets, Bhatia explained.He also underscored the importance of the models multimodality. A lot of technology in the past was unimodal, said Bhatia. It would look only into the image, into the text. But now theyre becoming multi-modal, they can go from image to text, text to image, so that you can bring in a lot of things that were done with separate models in the past and really unify the workflow.He emphasized that researchers only use datasets that they have rights to; GE Healthcare has partners who license de-identified data sets, and theyre careful to adhere to compliance standards and policies.Using AWS SageMaker to tackle computation, data challengesUndoubtedly, there are many challenges when building such sophisticated models such as limited computational power for 3D images that are gigabytes in size.Its a massive 3D volume of data, said Bhatia. You need to bring it into the memory of the model, which is a really complex problem.To help overcome this, GE Healthcare built on Amazon SageMaker, which provides high-speed networking and distributed training capabilities across multiple GPUs, and leveraged Nvidia A100 and tensor core GPUs for large-scale training.Because of the size of the data and the size of the models, they cannot send it into a single GPU, Bhatia explained. SageMaker allowed them to customize and scale operations across multiple GPUs that could interact with one another.Developers also used Amazon FSx in Amazon S3 object storage, which allowed for faster reading and writing for datasets.Bhatia pointed out that another challenge is cost optimization; with Amazons elastic compute cloud (EC2), developers were able to move unused or infrequently used data to lower-cost storage tiers.Leveraging Sagemaker for training these large models mainly for efficient, distributed training across multiple high-performance GPU clusters was one of the critical components that really helped us to move faster, said Bhatia.He emphasized that all components were built from a data integrity and compliance perspective that took into account HIPAA and other regulatory regulations and frameworks.Ultimately, these technologies can really streamline, help us innovate faster, as well as improve overall operational efficiencies by reducing the administrative load, and eventually drive better patient care because now youre providing more personalized care.Serving as a basis for other specialized fine-tuned modelsWhile the model for now is specific to the MRI domain, researchers see great opportunities to expand into other areas of medicine.Sheeran pointed out that, historically, AI in medical imaging has been constrained by the need to develop custom models for specific conditions in specific organs, requiring expert annotation for each image used in training.But that approach is inherently limited due to the different ways diseases manifest across individuals, and introduces generalizability challenges.What we truly need is thousands of such models and the ability to rapidly create new ones as we encounter novel information, he said. High-quality labeled datasets for each model are also essential.Now with generative AI, instead of training discrete models for each disease/organ combination, developers can pre-train a single foundation model that can serve as a basis for other specialized fine-tuned models downstream.For instance, GE Healthcares model could be expanded into areas such as radiation therapy, where radiologists spend significant time manually marking organs that might be at risk. It could also help reduce scan time during x-rays and other procedures that currently require patients to sit still in a machine for extended periods, said Bhatia.Sheeran marveled that were not just expanding access to medical imaging data through cloud-based tools; were changing how that data can be utilized to drive AI advancements in healthcare.Daily insights on business use cases with VB DailyIf you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI.Read our Privacy PolicyThanks for subscribing. Check out more VB newsletters here.An error occured.

The Federal Trade Commission announced on Friday it finalized an order (pdf) requiring Marriott International and subsidiary Starwood Hotels to improve their digital security, reports BleepingComputer. The FTC charged the companies with lax security practices that resulted in three big breaches detected in 2015, 2018, and 2020, affecting more than 344 million customers worldwide, leaking passport details, payment cards, and other info.The shortest breach lasted 14 months before it was detected, while the longest one saw attackers maintain access for four years, starting in 2018. The beefed-up security programs they've agreed to establish include creating policies to only keep information for as long as its needed and publishing a link allowing US customers to request the deletion of information tied to their email address or loyalty account.Hotels have been one of many key targets for hackers, with one breach last year catching FTC Chair Lina Khan among the many people left waiting to check in when a ransomware attack forced MGM Resorts to fall back on using pen and paper.RelatedThe FTC announced its charges in October, accusing the companies of having deceived consumers with false claims of reasonable and appropriate data security. Their alleged failures included having bad password and firewall practices and not patching outdated software and systems. The same day the FTC revealed the charges, the Connecticut Attorney Generals office announced Marriott had agreed to a $52 million settlement.Beyond improving their security, the companies are now forbidden from misrepresenting how they collect, maintain, use, delete or disclose consumers personal information; and the extent to which the companies protect the privacy, security, availability, confidentiality, or integrity of personal information. Other requirements include that they keep compliance records and submit to FTC inspections. The order will stay in effect for 20 years.

The PayPal Honey browser extension is, in theory, a handy way to find better deals on products while youre shopping online. But in a video published this weekend, YouTuber MegaLag claims the extension is a scam and that Honey has been stealing money from influencers, including the very ones they paid to promote their product.Honey works by popping up an offer to find coupon codes for you while youre checking out in an online shop. But as MegaLag notes, it frequently fails to find a code, or offers a Honey-branded one, even if a simple internet search will cover something better. The Honey websites pitch is that it will find every working promo code on the internet. But according to MegaLags video, ignoring better deals is a feature of Honeys partnerships with its retail clients.MegaLag also says Honey will hijack affiliate revenue from influencers. According to MegaLag, if you click on an affiliate link from an influencer, Honey will then swap in its own tracking link when you interact with its deal pop-up at check-out. Thats regardless of whether Honey found you a coupon or not, and it results in Honey getting the credit for the sale, rather than the YouTuber or website whose link led you there.Paypal VP of corporate communications Josh Criscoe said in an email to The Verge that Honey follows industry rules and practices, including last-click attribution.MegaLag isnt the first to make such claims. A 2021 Twitter post advises using Honeys discount codes in a different browser to avoid it taking the affiliate credit. A Linus Media Group employee also explained in a 2022 forum reply that Linus Tech Tips dropped Honey as a sponsor over its affiliate link practices.Honeys convenience has resulted in the extension being recommended widely, including in almost 5,000 Honey-sponsored videos across about 1,000 YouTube channels, according to MegaLag. Weve even recommended it here at The Verge; now we do not.Here is Criscoes full statement:Honey is free to use and provides millions of shoppers with additional savings on their purchases whenever possible. Honey helps merchants reduce cart abandonment and comparison shopping while increasing sales conversion.

The year is almost over, but the team behind the popular fitness and wellness app Gentler Streak still had a few cards up their sleeve for 2024. The latest update to the app adds improvements to health metrics, as well as the long-awaited Activity Recap 2024.With version 5.1 of the app, Gentler Streak has improved health metrics so that users can now see 7-day charts for each available metric, with an expanded 14-day view option. Moreover, the app now uses RMSSD (Root Mean Square of Successive Differences) calculations for Heart Rate Variability, providing more accurate insights.Gentler Streak has also expanded its menstrual cycle tracking capabilities, including new metrics such as previous cycle length and 1-year cycle variability, perimenopause guidance, improved period duration logging, enhanced HealthKit integration, and new insights on emotions, menopause and staying active.For those who use the Apple Watch as a sleep tracker, the Gentler Streak app now shows health metrics such as sleeping heart rate, HRV, and oxygen levels within the Sleep Stages chart, offering a comprehensive view of the bodys behavior during sleep. And of course, the Activity Recap 2024 is now available, so you can get an overview of your year in terms of health and fitness.Check out what youve achieved this year since 2024 is still ongoing, your recap will be updating daily until the end of December so you can track your progress until the very last day. Whether you took it slow or pushed yourself to new heights, your recap celebrates your tempo, the developers say.Gentler Streak is an app that helps users better understand their physical condition to know whether they can improve their workouts or whether theyre pushing too hard. The app receivedApples App of the Year award for Apple Watch in 2022and earned a spot as a finalist for the2023 Apple Design Award.This year,Gentler Streak won an Apple Design Award in the Best Social Impact category.You candownload Gentler Streak for free on the App Store, but some advanced features require a subscription or a lifetime license. Make sure tocheck out the interview with Katarina Lotric, the founder of Gentler Streak, here on9to5Mac.Its worth noting that the app works best with anApple Watch.Add 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

The President doth protest too much.Pecking OrderDonald Trump is starting to sound markedly testy about people insinuating that his "First Buddy" Elon Musk is the real one running the show.During an appearance on Sunday at Turning Point USA's AmericaFest conference in Phoenix, the Republican president-elect mocked the idea that he's "ceded the presidency" to Musk as just the latest "hoax" that his opponents are trying to smear him with."No, he's not taking the presidency," Trump told his audience of supporters.Moments later, he doubled down with a smug-sounding jab at Musk about his birthplace with perhaps a little too much zest."No, he's not going to be president, that I can tell you," Trump repeated. "And I'm safe. You know why he can't be? He wasn't born in this country," he added, giggling.Twitter TantrumIt's true that Musk, having been born in South Africa, is disqualified from literally heading up the Oval Office. But Trump's comments do little to convince critics that the world's richest man, who donated over $200 million to get Trump elected, isn't the one calling the shots from behind the scenes. They only demonstrate that the "President Musk" jokes are living in his head.And the critics have a point. Musk made one of his most blatant displays of power last Wednesday when he essentially commanded Republicans to kill a bipartisan spending bill that would prevent a government shutdown.While Trump was probably still in bed, Musk was up at 4:00 am lambasting the funding resolution on his website X-formerly-Twitter, posting over one hundred times within the day. Any Republican that didn't oppose the bill, Musk threatened to unseat with his own candidate.It worked. Even before Trump belatedly issued his decree in the afternoon to finish the bill off, its support had already crumbled. And there was Musk triumphantly straddling the ruins, declaring the battle won.Opti-Musk PrimeTrump has since claimed that he told Musk to publicly put pressure on the bill. Even if that's true, his fellow Republicans are crediting Musk's leadership for the victory, Axios reports."It's kind of interesting, we have a president, we have a vice president, we have a speaker," observed Rep. Tony Gonzales (R-TX) in an interview Sunday on CBS News, per Axios. "It feels like Elon Musk is our prime minister."Meanwhile, Senator Rand Paul (R-KY) even floated the idea of making Musk Speaker of the House."Nothing would disrupt the swamp more than electing Elon Musk," Paul posted on X, formerly Twitter, on Thursday.Share This Article

THE CULT OF THE FOUNDER. THE CULT OF THE TECH GENIUS. Beware: Silicon Valleys cultists want to turn you into a disruptive deviant. Techs cult of the founder bounces back. Silicon Valleys Strange, Apocalyptic Cults. How the cult of personality and tech-bro culture is killing technology. Company or cult? Is your corporate culture cultish? The Cult of Company Culture Is Back. But Do Tech Workers Even Want Perks Anymore? 10 tech gadgets with a cult following on Amazonand why theyre worth it. 13 steps to developing a cult-like company culture. The headlines seem to write themselves (if that clich is allowed anymore in the age of ChatGPT and generative AI). Tech is culty. But that is a metaphor, right? Right?! When I first saw Michael Saylors Twitter account, I wasnt sure. Saylor is an entrepreneur, tech executive, and former billionaire. Once reportedly the richest man in the Washington, DC, area, he lost most of his $7 billion net worth in 2000 when, in his mid-30s, he reached a settlement with the US Securities and Exchange Commission after it brought charges against him and two of his colleagues at a company called MicroStrategy for inaccurate reporting of their financial results. But I had no idea who he was back then. In 2021 Saylor started showing up in my Twitter feed. His profile picture showed a man with chiseled features, silver hair, and stubble sitting in a power pose and looking directly into the camera, a black dress shirt unbuttoned to display a generous amount of his neck. It was a typical tech entrepreneurs publicity shot except for the lightning bolts blasting from his eyes, and the golden halo crown. Then there were his tweets: #Bitcoin is Truth. #Bitcoin is For All Mankind. #Bitcoin is Different. Trust the Timechain. Fiat [government-backed currency] is immoral. #Bitcoin is immortal. #Bitcoin is a shining city in cyberspace, waiting for you. #Bitcoin is the heartbeat of Planet Earth. As MITs humanist chaplain, I follow a lot of ministers, rabbis, imams, and monks online. Very few religious leaders would dare to be this religious on social media. They know that few of their readers want to see such hubris. Why, then, does there seem to be an audience for this seemingly cultish behavior from a cryptocurrency salesman? Are tech leaders like Saylor leading actual cults? According to Bretton Putter, an expert on startups and CEO of the consulting firm CultureGene, this neednt be a major concern: Its pretty much impossible, Putter writes, for a business to become a full-blown cult. And if a tech company or other business happens to resemble a cult, that might just be a good thing, he argues: If you succeed in building a cultlike culture similar to the way that Apple, Tesla, Zappos, Southwest Airlines, Nordstrom, and Harley-Davidson have, you will experience loyalty, dedication, and commitment from your employees (and customers) that is way beyond the norm. Are the cultlike aspects of tech companies really that benign? Or should we be worried? To find the answer, I interviewed Steve Hassan, a top expert on exit counseling, or helping people escape destructive cults. At age 19, while he was studying poetry at Queens College in New York City in the early 1970s, Hassan was recruited into the Unification Churchthe famously manipulative cult also known as the Moonies. Over his next 27 months as a member of the church, Hassan helped with its fundraising, recruiting, and political efforts, which involved personally meeting with the cult leader Sun Myung Moon multiple times. He lived in communal housing, slept only a few hours a night, and sold carnations on street corners seven days a week for no pay. He was told to drop out of college and turn his bank account over to the church. In 1976, he fell asleep at the wheel while driving a Moonie fundraising van and drove into the back of a tractor-trailer at high speed. He called his sister from the hospital, and his parents hired former members to help deprogram him and extract him from the cult. After the Jonestown mass suicide and murders of 1978 brought attention to the lethal dangers of cult mind control, Hassan founded a nonprofit organization, Ex-Moon Inc. Since then, hes earned a handful of graduate degrees (including a doctorate in the study of cults), started numerous related projects, and written a popular book on how practices with which he is all too familiar have crept into the mainstream of US politics in recent years. (That 2019 book, The Cult of Trump: A Leading Cult Expert Explains How the President Uses Mind Control, seemed even more relevant in early 2024, when a video called God Made Trump went viral across the campaign trail.) Hassan even found himself advising Maryland congressman Jamie Raskin, leader of the second impeachment trial against Donald Trump, in 2021, on how to think and communicate about the cultish aspects of the violent mob of Trump followers who stormed the Capitol on January 6 of that year. I wanted to ask Hassan what he makes of the discourse around tech cults, but first its important to understand how he thinks about cults in the first place. Hassans dissertation was titled The BITE Model of Authoritarian Control: Undue Influence, Thought Reform, Brainwashing, Mind Control, Trafficking, and the Law. The idea was to create a model that could measure cult exploitation and manipulation, or what Hassan and other experts in related fields call undue influence. His BITE model looks to evaluate the ways social groups and institutions attempt to control followers behavior, information access, thoughts, and emotions. Because there is no one quintessential, Platonic definition of a cult, what matters is where a given instance of potential cultishness falls on an influence continuum. In this continuum model, Hassan evaluates the ways in which institutional cultures attempt to influence people. To what extent are individuals allowed to be their authentic selves or required to adopt a false cult identity? Are leaders accountable to others, or do they claim absolute authority? Do organizations encourage growth in the people who participate in them, or do they seek to preserve their own power over all else? While any kind of person or group can struggle with some of the dimensions on Hassans continuum chart (which lists constructive behaviors at one end and destructive behaviors at the other), healthier organizations will tend toward constructive responses more of the time, whereas unhealthier institutionsthose more truly worthy of the cult label in the most negative sensewill tend toward destructive responses such as grandiosity, hate, demands for obedience, elitism, authoritarianism, deceptiveness, or hunger for power. It turns out that there are some real, meaningful similarities between cults and tech, according to Hassan. This is the perfect mind-control device, he told me, holding up his iPhone. He explained that when he joined the Moonies in 1974, cult recruiters had to get information from the victim. Now, he said, users of everyday technologies are sitting ducks: There are 5,000 data points on every voting American in the dark web, and there are companies that will collect and sell that data. The first time Hassan was told about cryptocurrency, he added, it smacked of multilevel marketing to him. The proposition that you can make a fortune in a very short amount of time, with almost no labor, was something he had seen many times in his work. As was the idea that if you become an early investor in such a scheme, youll make more money if you recruit more people to join you. The people who started it are always going to make 99% of the money, Hassan said. And as in the cults that recruited him and continue to recruit the kinds of people who ultimately become his clients, everyone else is going to get burned. All of this would certainly seem to explain why I so frequently hear from people, eager for me to know they are fellow atheists, who tell me to buy some bitcoin because it will rewire my neurons and cure me of the woke mind virus. Of course, it should be noted that some scholars have complained about Hassans work, arguing that brainwashing and mind control are concepts for which there is not sufficient evidence. But Im not claiming that tech uses literal brainwashing, nor is it like when a character in a Scooby-Doo episode hears You are getting very sleepy and then their eyes become squiggles. Hassan probably wouldnt say so either. Companies dont need to go to such extremes to exert undue influence on us, though. And as is clear from the headlines I cited above, a lot of companies have been accused of, or associated with, a bit of cultishness. I wont attempt to evaluate anyones cultish tendencies on a scale of 1 to 10. But I see crypto sales techniques as a particularly good example of cultlike behavior, because if theres one thing cults need to be good at to sustain their existence, its separating people from their wallets. Cryptocurrency has specialized in that to extraordinary effect. Its all a continuum, and it would be hard to find a person whose life is completely devoid of anything cultish, technological or otherwise. But as a culture, we are careening dangerously toward the wrong end of Hassans chart. Or to quote a Michael Saylor tweet, We all stumble in the dark until we see the cyber light. #Bitcoin. Adapted from Tech Agnostic: How Technology Became the Worlds Most Powerful Religion, and Why It Desperately Needs a Reformation. Copyright 2024 by Greg Epstein, the humanist chaplain at MIT. Used with permission of the publisher, MIT Press.