Marvel’s Finally Got Miracleman in Its Comics—Now What?
Books & Comics Marvel’s Finally Got Miracleman in Its Comics—Now What? 'Avengers: Armageddon' gave the publisher a reason to bring in Miracleman, just in a way no one likely expected. 19, 2026, pm ET Reading time 2 minutes © Jim Cheung/Marvel Comics Read Later Read Later Comments (10) For years, a question hovering over Marvel Comics has been when, not if, the publisher would incorporate Miracleman into its canon of heroes. Originally created 1954’s Marvelman #25, multiple legal battles prevented the hero from expanding and becoming more popular. But once those ended in Marvel’s favor, it got to work on republishing the old runs penned by Anglo, Alan Moore, and Neil Gaiman, and seeded his arrival in recent books every now and then. Days before release, this week’s Avengers Armageddon #4 from Chip Zdarsky, Delio Diaz, and Frank Alpizar had its big moment spoiled: Miracleman’s fully integrated into the Marvel Universe. Only, this man isn’t Mike Moran as he was in previous stories—it’s David Colton, the modern day Captain America previously built up in Zdarsky and Valerio Schiti’s Steve Rogers solo. Introduced in the first arc as a kid who enlisted because of 9/11 (and subsequently injected with the Super-Soldier Serum), Colton and Steve worked together in the early days of the latter’s modern day awakening. A covert mission to rescue U. S. diplomats from Latveria ended with Colton, already cynical from serving in Iraq and Afghanistan, having a breakdown that ended with him killing dozens of Latverians and eventually defeated in a fight with Steve. During the current Armageddon event, Colton was shot . The box, which held the power of an unknown hero from the recent Ultimate Universe, both healed him and left him with a drive to fix the world. But it was only after Red Hulk exploded in his face, and seeing a vision of his mother, that Colton uttered the word “Kimota” to become Miracleman in full. © Delio Diaz & Frank Alpizar/Marvel Comics © Delio Diaz & Frank Alpizar/Marvel Comics © Delio Diaz & Frank Alpizar/Marvel Comics Thus, a long game has reached its conclusion, or at least part of it. However Armageddon ends, Marvel has already confirmed that Colton as Miracleman will join the Avengers team of Zdarsky and Marco Checchetto’s upcoming run alongside Captain Marvel and Spider-Man. Along with filling out a role of the team’s second god-powered person, there’s the question of what effects the Origin Box is leaving on him.
You’ll Never Guess What Trump Wants to Rename Now
Artificial Intelligence You’ll Never Guess What Trump Wants to Rename Now The President wants to give his favorite technology a rebrand, but he needs your help. 19, 2026, pm ET Reading time 2 minutes © Chip Somodevilla/ Read Later Read Later Comments (97) President Donald Trump simply has no patience for negativity around AI. He says it’s going to be the “Greatest Economic Development Engine in History — Bigger than Oil, Gold, Diamonds, or even the Internet.” But it’s scaring people lately, so apparently he’s decided to just rename it. Many people think that the words “Artificial Intelligence” are inaccurate, and very ineloquent, relative to AI, or Artificial Intelligence. A far more elegant and accurate description of this new phenomena would be Superior Intelligence (SI) or, Extreme Intelligence (EI) or,… — Donald J. Trump (@realDonaldTrump) September 19, 2026 The term “artificial intelligence” just isn’t cutting it anymore, so Trump has posted on X that he thinks a more “elegant and accurate description of this new phenomena [sic] would be Superior Intelligence (SI) or, Extreme Intelligence (EI) or, Supreme Intelligence (SI).” Hey, at least he didn’t go with “America Intelligence.” Trump wouldn’t be alone in criticizing use of the terms “artificial intelligence” and “AI,” at least when it comes to AI as currently understood. Reliant as they are on language to process information and solve problems, LLMs have been criticized for conflating language use and intelligence. “Yes, an AI system might remix and recycle our knowledge in interesting ways. But that’s all it will be able to do,“ wrote critic Benjamin Riley last year. It somehow seems unlikely that Trump shares Riley’s concerns. In a separate X post, he posted a poll about the renaming, graciously handing this momentous task to the people. Trump (@realDonaldTrump) September 19, 2026 The president didn’t include a “just show me the results” option, so you have to log in and vote to ’s in the lead. At time of publication, there was still not an overwhelming frontrunner, but “Superior Intelligence” was in the lead with 39.3%. Perhaps soon we will all be talking about Anthropic’s next “Superior Intelligence” model, but—if you’ll forgive me for editorializing—I sort of doubt it. Trump’s use of AI as a communication tool is an unnerving fact of life now. Over Labor Day weekend, the president went into some kind of fugue state and posted a long string of AI-generated images on Truth Social, including at least one fake image depicting Iran’s Kharg Island being blown up like Alcatraz Island in the movie the Rock.
Learning another language may be one of the best ways to keep your brain healthy
Text settings Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only Learn more Minimize to nav Learning another language is a highly complex mental activity. It requires people to remember words, distinguish unfamiliar sounds, recognize patterns, work out grammatical rules, and retrieve the right expression at the right moment. All of this happens while listening, interpreting, and preparing a response. Could all this mental activity also help keep an aging brain healthier? Concerns about memory and dementia can send aging adults looking for ways to exercise their brain and maintain cognitive function, whether it is solving crossword puzzles or playing a musical instrument. Language learning might not seem like the same kind of brain exercise, but it is a complex activity that engages several mental processes at once. I am a linguist who studies language acquisition, use, and loss. My new book, Beyond Words: How We Learn, Use, and Lose Language, examines language and the mind across people’s lifespans. Research increasingly suggests that language learning and bilingualism can offer cognitive benefits—including for older adults. Learning another language can also create opportunities for communication and social connection. A workout for the brain A person’s brain remains capable of change throughout their life. This ability to adapt in response to experience is known as neuroplasticity. Learning unfamiliar sounds, vocabulary, and grammatical patterns requires the brain to form and strengthen connections. Language learning engages several mental processes at once, requiring people to absorb and retrieve information, notice when something does not work out, and adjust. This sustained mental effort makes language learning a particularly rich form of cognitive exercise. Research on bilingualism has found differences in both the brain’s gray matter, which contains neurons and their connections, and white matter, which consists largely of nerve fibers linking different parts of the brain. Studies have shown greater gray matter density or stronger white matter integrity in bilingual people, compared with people who speak one language. These findings suggest that language experience can be reflected in the brain’s structure, as well as its activity. But brain differences are only part of the picture. The brain as it ages One reason researchers are interested in language and aging is the idea of cognitive reserve. This term refers to the ability to maintain cognitive function despite age-related changes or damage to the brain. Bilingualism has been proposed as one factor that can help the brain cope with the effects of aging, because managing two languages places ongoing demands on people’s attention and cognitive control—ultimately helping to strengthen cognitive reserve.
Forget the AI Slowdown—the Vulnerability Explosion Is Already Happening
CommentSave StorySave this story CommentSave StorySave this story Welcome to the inaugural edition of Kernel Panic! To receive this in your inbox each week, here. AI doomers have recently traded one worst-case scenario for another, putting aside a potential software vulnerability apocalypse to focus on the possibility of rogue AI causing mass human death in the next decade. As AI leaders consider a cooperative slowdown on frontier model development, though, one aspect of the cybersecurity sea change has already arrived thanks to existing, broadly available capabilities in mainstream AI products, including open weight models. A tidal wave of vulnerabilities uncovered using AI has only accelerated in recent months—piling more pressure on under-resourced, and very human, IT and security teams and straining volunteers who maintain crucial open source software. Researchers found and disclosed a vast array of vulnerabilities before the rise of AI-enhanced bug hunting as well, but the recent surge is clear. Microsoft said last week that it has issued patches for 974 CVEs so far this month, setting a new record. (CVEs, or common vulnerabilities and exposures, is cybersecurity jargon for confirmed software flaws.) In July, Oracle shipped 1,448 patches compared to 309 in July 2025. Google Chrome’s two major version releases in June included 1,072 patches, more than all of the vulnerability fixes shipped in the prior 23 big releases combined. And Mozilla said in April that it found 271 vulnerabilities in Firefox during one bug hunting sprint using Anthropic’s Mythos model. Across the board, there have been a stunning 66,401 CVEs recorded as of Wednesday this week, according to Jerry Gamblin, the head of research at Empirical Security and founder of RogoLabs, which runs the CVE analysis project cve. icu. By September 16 last year, cve. icu had logged a total of 33,512 CVEs—almost half the current total. For all of 2022, the year OpenAI launched its first version of ChatGPT, cve. icu recorded 25,000 CVEs. Among both security and AI researchers, experts have been divided about whether this spike and other impacts of AI on cybersecurity will be catastrophic or instead magnify existing dynamics and challenges. Some have pointed out that slow patch adoption and lagging investment in cybersecurity broadly already gave attackers many advantages that led to hacking disasters before the rise of AI. But as vulnerability discovery numbers have continued to rise, and the discussion has become less theoretical, the two sides have seemed to move a bit closer. “I don’t think it’s overblown,” Gamblin says of the apparent explosion in vulnerability findings across the industry. “What I would push back on is the idea that a bigger number is itself the harm.
Tired of Cluttered Productivity Apps? This One’s Just a Text Document
CommentSave StorySave this story CommentSave StorySave this story I've spent decades testing, reviewing, and (most importantly) using different to-do list applications. It's a career, yes, but it's also a bit of an obsession. And I think we can all admit that most of these apps are way too complicated. A to-do list is just a list. Humans have been making lists for thousands of years, long before computers existed. Paper works well, but so does a stone slate if that's what you've got handy. It's possible that you, a modern human, absolutely need a to-do list application with bells and whistles—due dates, recurring tasks, sharing features, and maybe even an AI integration. But there's a good chance all you need is the digital equivalent of a piece of paper: A simple list of things that need to get done. And that's what Tasks. txt, a totally free Mac app, offers. From Ukrainian programmer Yevhen Kharkivskyi, this tool is based on the todo. txt system developed . It's a complete alternative to a to-do list app that is based on a single text file. The important thing here, though, is that it offers more than just a text file. This is a well-executed app. Open Tasks. txt and you'll see a simple list broken down into three categories: Done, Next, and Backlog. Screenshot: Justin Pot The general idea is to use "Next" for the tasks you want to accomplish today and "Backlog" for the things you want to do later. The "Done" section is populated as you check things off, then cleared out at the beginning of every day. It's possible to use this application using only the keyboard, which I love. Open the window and you can just start typing tasks—your cursor is already active in the text box at the bottom. Hit Enter and your task will be added either to Backlog or Next, depending on what you choose in the drop-down menu to the right of your text box. Press the Tab key to switch from the text box to your task list. You can use the arrows to change which task is currently selected. Pressing the Enter key adds a note below the name of a task, and Cmd+Enter marks a task complete. You can also move tasks up and down the list using Cmd+Up/Down. There are no unnecessary controls or interface elements in your way.
Rings around a tiny body have changed over the past decade
Text settings Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only Learn more Minimize to nav For decades, astronomers thought rings were something only giant planets had. That changed in 2013, when a small, dark body orbiting between Saturn and Uranus passed in front of a star and blinked twice on either side of the main event, revealing two narrow rings around an object barely 250 kilometers across. “It was a surprise,” says Pablo Santos-Sanz, an astronomer at the Instituto de Astrofísica de Andalucía in Granada, Spain. Ever since, the question has been what such rings are made of and how long they can last. In a recent study, Santos-Sanz and his colleagues used the James Webb Space Telescope to watch the same body, now known as Chariklo, pass in front of a background star again. They found one of its rings had grown denser and the other had almost vanished. We don’t know exactly why. Shadowing a star The technique behind the observation is simple. “We predict when a Solar System object passes in front of a star,” Santos-Sanz said. The starlight dims for a moment, and the shape of that dip reveals the size, shape, and surroundings of the object that caused it. “This is particularly challenging for minor bodies, and more challenging for distant minor bodies,” he said. The difficulty is that the target’s silhouette on the sky is minuscule, and knowing when it will cross a particular star requires very precise positioning data for both. Still, in 2013, we used ground telescopes to discern Chariklo’s two rings, C1R and C2R. These sat 390 and 405 kilometers from its center and were only a few kilometers wide and about 7 kilometers apart. Doing this with a space-based telescope, though, makes lining things up considerably harder. JWST sits at the L2 Lagrange point, and controllers need to nudge the telescope every few weeks to keep its orbit stable. “It’s a kind of tricky task,” Santos-Sanz said. His team identified a possible Chariklo occultation in August 2022 and redid the prediction every week. Between the first prediction and one of the last, the projected line of sight shifted by about 110 kilometers, which was enough to move it off the body entirely. Unfortunately, JWST requires observations like this to be planned at least 14 days in advance. “We did this maybe a bit blindly, because we didn’t know exactly where the line of sight was,” Santos-Sanz said. “I’m going to move one of the biggest, best telescopes in space, and we don’t know if finally we will catch this or not.” But it all worked out.
Turning Tech Talent Into Leadership Legacy
Transitioning from years of working in a senior technical or executive role to a leadership position is one of the most challenging phases of a STEM career. It requires moving away from making decisions on your own to mentoring others, making strategic decisions for the organization, and collaborating with coworkers from different generations.The shift in mindset is known as “legacy leadership,” a philosophy whereby success is no longer measured by personal achievements but by how effectively a senior leader empowers others.To help seasoned professionals and senior experts navigate the transition, the inaugural IEEE International Leadership Conference (ILC) will provide attendees practical advice on cultivating collaborations and guiding emerging talent.“Early in our STEM careers, we measure success by what we have achieved,” says Jeewika Ranaweera, cochair of the IEEE ILC program committee. “Later, we should measure success by what we enable, how many people we mentor, how much knowledge we transfer, and how many doors we open for the next generation.”The ILC is scheduled for 3 and 4 October in Budapest. Registration is open.Letting go of the “expert” identityFor decades, seasoned technologists have been valued primarily for their technical expertise. Shifting from that identity can feel uncomfortable, but legacy leadership requires measuring success by different standards. They include a leader’s influence on the staff, the ability to uphold the company’s mission, and empowering others to lead and succeed.The transition requires leaders to find purpose outside their corporate titles, shifting their focus to the long-term sustainability of their teams, their organization, and the broader technical community.“A professional legacy is not measured only by what we have achieved but also by sharing our knowledge, experience, and opportunities with others,” says Sudhanshu S. Jamuar, another program committee cochair. “The real transition from expert to a legacy builder happens when we stop asking, ‘What more can I accomplish myself?’ and start asking, ‘How many others can I enable to accomplish more?’”Neeli Rashmi Prasad, IEEE ILC treasurer and sponsorship cochair, adds that the transition transforms a lifetime of technical work into a platform for future innovation.“The true value of experience is not in how much knowledge we accumulate but in how intentionally we transfer it,” Prasad says. “When we partner with, mentor, and create space for others to lead, our expertise becomes a foundation for progress far beyond our own careers.”Moving beyond advice-givingTrue knowledge transfer requires coaching rather than advising, and mastering the art of active listening. To build deep trust with early-career colleagues and ensure a seamless transfer of leadership to the next generation, senior leaders must avoid offering unsolicited or outdated anecdotes. Effective mentorship is a collaborative loop in which senior experts contribute hard-won industry wisdom while remaining curious and learning from the fresh, cutting-edge perspectives of talented coworkers.“Knowledge transfer is most powerful when it is a two-way bridge: experience flows from one generation to the next, while new ideas and perspectives flow back,” says Sudeendra Koushik, president of the IEEE Technology and Engineering Management Society and an ILC keynote speaker. “This approach transforms mentorship from simply passing on information into one where the next generation can question, experiment, innovate, and ultimately surpass what came before them.”Seasoned professionals should encourage independent, disruptive thinkers rather than carbon copies of themselves, Prasad says.“Legacy leadership is about building continuity,” she says. “We should not simply prepare the next generation to follow the paths we created; we should give them the confidence, knowledge, and networks to challenge those paths, create new ones, and take technology further than we imagined.”Designing your next chapterLeadership does not need to stop when one’s job ends; it can evolve. Seasoned, retired professionals can continue contributing meaningful service through pathways that align with their personal passions. They include:Advisory boards: steering corporate, technical, or community organizations.Civic engagement: applying engineering methodologies to solve community challenges.Volunteerism: mentoring the next generation of grassroots innovators through professional networks including IEEE.Those pathways offer experienced professionals an opportunity to redefine success, not in terms of position, authority, or personal achievement but in terms of sustained impact.“Retirement from a job should never mean retirement from purpose,” Koushik says. “Our experience becomes even more valuable when we use it in service of the profession, society, and the generation that follows.”At the same time, the collaborative continuum relies on a proactive younger generation. Emerging leaders need to take responsibility for building their professional connections, Prasad says, advising: “Be bold, stay curious, and build your network early!”A space for continuityThe conference is designed to combine a drive to cultivate emerging innovators with a deep reservoir of industry stewardship and strategic perspective. Rather than a single classroom session, the conference will feature a dedicated career-readiness and mentorship track where attendees can explore practical frameworks for building strategic professional networks, connecting with peer advocates, and establishing reciprocal knowledge-sharing opportunities across generations.By participating, seasoned professionals can ensure their decades of expertise continue to yield dividends for generations to come.“Our professional legacy is not the technology we build, the titles we earn, or the awards we receive,” Ranaweera says. “It is the knowledge we share, the lives we influence, and the future we help others create.”You can view the agenda, read speaker biographies, and secure your seat at the ILC online.
The Download: AI’s extinction risk and bioweapons threat
This is today's edition of The Download, our weekday that provides a daily dose of what's going on in the world of technology. Could AI really kill us all? Your questions, answered On Wednesday, MIT Technology Review hosted a live Roundtables event that asked the question many seem to be asking right now: could AI really kill us all? But attendees had more questions than we had time to answer, so we asked senior AI editor Will Douglas Heaven and AI reporter Grace Huckins to tackle some of the best ones. The questions they tried to answer include: am I going to die? Why should AI kill us, if at all? Is AI really dangerous, or is it just tech companies drumming up PR? And what steps can be taken to make sure AI is controlled, monitored and regulated effectively? Here are their responses. —Will Douglas Heaven and Grace Huckins The specter of AI-enabled bioweapons is a wake-up call for biotech One of the ways AI could potentially cause catastrophic harm is . In 2022, researchers found that it was remarkably easy to do this with an AI “molecule generator” built to develop drugs. In less than six hours, the model generated 40,000 molecules that could serve as chemical warfare agents. Today, AI tools can answer questions on almost every area of science, while advances in gene editing and synthetic biology have made biotech tools more accessible. There are safeguards, but none are ironclad. However, scientists disagree about how serious the risk is anyway. Find out why it’s easier than ever to design killer pathogens. —Jessica Hamzelou This story is from The Checkup, our weekly biotech . receive it in your inbox every Thursday. The role of the astronaut is in flux We go to space for geopolitical prestige, manifest destiny, spiritual fulfillment, scientific curiosity, and, increasingly, business opportunities. In the wake of Artemis II, a slew of new books suggest that these justifications are subsumed : humans have itchy feet, and we are simply wired to roam. In The Ultraview Effect, space anthropologist Deana L. Weibel frames human space exploration as part of our need to embark on pilgrimages. In A Heart for Space, civilian astronaut Eiman Jahangir recounts one such voyage with Blue Origin. And in Dinner with an Astronaut, former NASA astronaut Leroy Chiao argues that people simply “need to know what’s on the other side.” these three new books have to say about why we go to space. —Becky Ferreira This story is from our latest print magazine, which is all about kids. to receive every issue when it lands.
Could AI really kill us all? Your questions, answered.
EXECUTIVE SUMMARY On Wednesday, MIT Technology Review hosted a live Roundtables event for subscribers that asked the question everyone’s asking right now: Could AI really kill us all? But attendees had so many more questions than we had time to answer in the 30 minute session. So we asked our senior AI editor Will Douglas Heaven and AI reporter Grace Huckins to round up some of the best questions attendees submitted and try their best to answer them. Thanks to all who submitted questions! Unfortunately, my journalistic powers of prognostication aren’t powerful enough for me to tell you how. But it certainly could be because of AI. AI-powered drones have already killed people in Ukraine, and AI-driven cyberattacks on hospitals will surely claim victims before long. Could AI go even further, and kill all of us? But some people—quirky people, but undeniably knowledgeable about AI—have been warning for years that this could happen. And while I’m not yet stockpiling canned food or trying to get in good with a bunker-owning megabillionaire, I have noticed that the doomers’ predictions about AI capabilities and alignment have, over the past couple of years, proved disconcertingly accurate. That certainly doesn’t mean that their more dire forecasts will come true, but it’s enough for me to sit up and take notice. — Grace Huckins Are you going to die because of AI? I’d say there’s a non-zero chance. Let’s say you’re unlucky enough to be the victim of a freakish near-future event or accident. Maybe it’s a cyberattack carried out by a swarm of AI agents on critical infrastructure. Sadly, a scenario like that now no longer feels as far-fetched as it once did. Or maybe a novel AI-designed pathogen cuts through the population. Or the world economy crashes, causing conflicts and famine. Both plausible, but I think less likely. Are we all going to die because of AI? There are no circumstances outside of apocalyptic science fiction in which AI could kill us all. You can spin up any number of scare stories, but they’re not grounded in present-day realities about what the tech can do or where it’s headed. Some people argue that there’s no harm in preparing for the worst, however wacky it might seem. But I think such catastrophizing can make people excuse or overlook many of the more immediate problems with the existing technology and the companies building it. — Will Douglas Heaven Why would AI kill us?
Data Broker Radaris Loses Domains in Privacy Fight
The consumer data broker Radaris. com has long had a reputation for ignoring requests to remove personal information from its vast empire of people-search services online. That reputation caught up with the company recently in a lawsuit alleging Radaris violated a New Jersey privacy law that provides for hefty fines against data brokers that publish personal information on state law enforcement officials. In the face of repeated stonewalling and prevarication , the judge in the case ordered that radaris. com and more than a dozen other data broker domains be transferred to the plaintiffs. The radaris. com website, prior to the domain transfer to Atlas. In February 2024, Radaris was sued , a company that has been pursuing data brokers alleged to be violating a New Jersey statute called Daniel’s Law. The statute allows state law enforcement officials, government personnel, judges and their families to have their information completely removed from commercial data brokers and people-search services, and provides for fines of $1,000 per violation against companies that ignore removal requests. Less than a month after Atlas sued Radaris, KrebsOnSecurity published a deep dive into the Radaris co-founders — Igor and Dmitry Lubarsky (also spelled Lybarsky) — Russian-born brothers living in Massachusetts who operate a dizzying array of people-search companies as well as a number of Russian language dating services and affiliate programs. Attorneys for the Lubarsky brothers threatened to sue for defamation if the story wasn’t removed and an apology issued. Their attorney asserted that our reporting was wildly inaccurate, and that the true owners of the company were Ukrainians living in Ukraine. The Lubarsky brothers Dmitry or “Dan” (left) and Gary/Igor. KrebsOnSecurity doubled down and showed how the Lubarsky brothers built and operated Radaris and other data broker companies using a fictitious CEO’s name. Our follow-up story noted that Radaris’s attorney — a lawyer with the Boston Law Group named Val Gurvits — admitted his clients had invented the CEO pseudonym “Gary Norden,” and that Radaris also had issued multiple press releases over the years that quoted the fake CEO while seeking money from potential investors. Attorneys for Radaris waited until the last minute to appear in court and contest what was all but certain to be a default judgment in favor of the plaintiffs, and then told the court that Atlas had failed to serve the real owners and operators of Radaris and several of its sister data broker companies.