Eight times the output. Same job. Same title. Not 80%. 800%. Thats a lot. And yet, most hiring systems and processes are almost perfectly designed to miss those people. This isnt a talent shortage. Weve normalized a measurement problem for so long that it barely registers as a problem anymore.
Across industries, hiring has been optimized for efficiency and familiarity. We screen for credentials that look impressive, resumes that read cleanly, and career paths that resemble the ones we already trust. It feels rigorous. It feels fair. But it isnt actually predictive of performance. In fact, the more polished a hiring process becomes, the more likely it is to filter for samenessand against the very capabilities that drive outsized performance.
Much of this starts with technology that was designed for process automation and then tried to evolve to deliver objectivity at scale. Keyword-based applicant tracking systems move fast, but speed comes at a cost. These systems reward precise phrasing and conventional formatting, not capability. A candidate who has done the workbut describes it differentlynever makes it through. These systems werent built for filtering talent inthey were built to filter talent out.
Manual review is often held up as the antidote, but it brings its own limitations. Humans are better at nuance, but were also deeply patterned. The 3-pound caloric monsters we carry around in our skulls are designed for pattern recognition and the path of least resistance. By genetics, we gravitate toward what looks familiar and overvalue signals that feel safe. And even when intentions are good, unstructured evaluation consistently misses qualified candidateswhile remaining impossible to scale.
And then, the elephant in the room: Teams are really stretched. Thoughtful, consistent, manual review is less and less feasible, leaving organizations stuck in an uncomfortable middle. Do we settle for technology that is efficient but blind, or humans who are thoughtful but inconsistent? Neither reliably captures what actually predicts performance.
DISTANCE TRAVELED
This isnt a new problem.
Two decades ago, medical schools ran into the same issue. Traditional admissions criteriagrades, test scores, pedigreewere effective at predicting who could pass exams. They were far less effective at predicting who would become exceptional physicians. The metrics were clean. The outcomes were not.
So some institutions started asking different questions. Not just How did this person perform? but How far did they travel to get here? What obstacles did they face? What did they have to figure out without a playbook?
This ideaoften referred to as distance traveledimpacted who was admitted. And it changed outcomes for the better. Students selected under these frameworks didnt just keep upthey set the bar. They demonstrated stronger judgment under pressure, greater adaptability in ambiguous situations, and deeper empathy with patients whose lives looked nothing like their own.
Corporate hiring is now facing a similar time in history, a convergence of inflection points.
In fast-moving business environments, the skills that matter most rarely show up neatly in job titles or degrees: learning quickly; thinking clearly when information is incomplete; staying resourceful when plans fall apart; persisting when theres no obvious path forward. These arent soft skills. Theyre critical performance and leadership skills and theyre largely invisible in traditional screening. And thats bad. Its bad for innovation, its bad for culture, its bad for the bottom line. The cost of getting this wrong shows up everywhere.
Most employers will admit theyve made at least one bad hire in the past year. The financial impact of that is relatively easy to calculate. The less visible damagelost momentum, exhausted teams, opportunities that never materializeis harder to measure, but no less real. Whats even harder to see or measure is the impact of the lost talent that never had a chance to contribute. The career changer who learned fast because they had to. The veteran who led teams under pressure but doesnt speak corporate. The self-taught professional who mastered complex systems without a credential to legitimize it. These candidates have already demonstrated the capabilities companies say they want, but they dont look as shiny on paper.
CHANGE WHAT YOU MEASURE
All is not lost. Some organizations are starting to respondnot by lowering standards, but by changing what they measure. Instead of defaulting to credentials and pedigree, theyre evaluating skills directly. Theyre using assessment questions about real-world scenarios, samples, or actual work, and problem-solving exercises that reflect the actual demands of the role.
The shift is delivering significant organizational impact. Research shows that when hiring is grounded in capability rather than convention, candidate pools widen. Quality improves. Competition for the same narrow band of perfect resumes eases. But the real advantage runs deeper than these metrics.
CAN COMPANIES AFFORD NOT TO EVOLVE?
Traditional hiring was built for a world where careers were linear and jobs changed slowly. In that world, past experience was a reasonable proxy for future performance. That world is gone! Today, the defining advantage isnt what someone already knowsits how quickly they can learn what comes next.
Medical schools recognized this years ago. They stopped over-indexing on metrics that predicted short-term success and started evaluating for the human capabilities that predict excellence over time. The corporate world needs to catch up.
The question for CEOs and CHROs isnt whether hiring should evolve. Its whether organizations can afford not to evolve and to just leave enormous performance upside untouched. Because somewhere in your applicant pool is a candidate who figured things out the hard way or who learned faster because they had fewer options. Someone who developed exactly the capabilities your business needs next.
Your systems may never notice them, but someone elses will.
Natasha Nuytten is CEO of CLARA.
Jamie Dimon, the CEO of JPMorgan Chase, is sounding the alarm bell, warning investors that he is starting to see some similarities between today’s financial landscape and the lead-up to the 2008 financial crisis, nearly 20 years ago.
Unfortunately, we did see this in ’05, ’06, ’07, almost the same thing,” Dimon said at the firm’s annual investor day in New York on Monday. “The rising tide lifting all boats, everyone was making a lot of money, people leveraging to the hilt. The sky was the limit.”
“I dont know how long its going to be great for everybody,” he explained. “I see a couple of people doing some dumb things . . . they are just doing some dumb things.”
While Dimon didn’t specify which competitors he was calling out, he says he worries about banks taking on risky loans again, and the high price of assets.
Those factors come at a time when technology companies are lavishly spending billions in an AI arms race, much of which they are borrowing, to see who can dominate artificial intelligence in the future.
What happened during the 2008 financial crisis?
In a nutshell: At that time, banks were issuing risky loans to borrowers, and when new homeowners couldn’t make their payments, the effects led to crash of the U.S. housing market. That crash, in turn, created a ripple effect through the global markets that threatened a global financial collapse.
Major U.S. banks teetered on the brink of disasterand notably, investment firm Lehman Brothers went bankrupt. The U.S. government made a decision to bail out some big banks, famously making the calculation they were “too big too fail,” spending some $700 billion to avoid a U.S. economic collapse. The fallout of all this eventually led to what is now known as the “Great Recession.”
The Great Recession officially started in December 2007 and ended in June 2009, before a very slow economic recovery in the U.S, according to the Federal Reserve. Sparked by the 2008 financial crisis, it is considered the most severe economic downturn in U.S. history since the Great Depression.
Ford is recalling nearly 413,000 Explorer SUVs in the U.S. The recall comes after federal regulators warned that a faulty rear suspension component called a “toe link” could restrict a driver’s steering control.
According to a National Highway Traffic Safety Administration recall report, the recall impacts 2017-2019 Explorer vehicles, with the company estimated around 1% of the selected models are affected. The notice also explained that the recall is an expansion of previous NHTSA recall, number 21V537.
“The root cause has not been fully determined to date,” a Feb. 20 report explained. “Some reports indicate vehicles experienced a seized CABJ”, which “will result in a bending moment on the toe link potentially resulting in fracture.” The report also said that drivers with impacted vehicles may hear a “clunk noise, unusual handling, and/or a misaligned rear wheel” indicating the issue is present.
Ford says, per the recall notice, that it has not been made aware of any injuries associated with the steering issue. However, as of Feb. 20, there have been two accidents potentially related to the issue.
The notice said that Vehicle Identification Numbers (VINs) associated with the recall will be searchable on NHTSA.gov beginning Feb. 25. It also noted that dealers will correct the issue “free of charge” and explained that owners should wait until they receive notification letters, which are expected to be mailed on March 9. Concerned vehicle owners can contact Ford Customer Service at 1-866-436-7332 with the recall number 26S08.
The recall is far from the first to hit Ford recently. The company also recently opened another recall over a High Voltage Battery issue. “Ford Motor Company (Ford) is recalling certain 2023-2025 Ford Escape and 2023-2026 Lincoln Corsair plug-in hybrid vehicles,” the Feb. 17 recall notice explained. “A manufacturing defect in one or more of the high voltage battery cells may result in an internal short circuit and battery failure.” It also noted that the remedy is “under development.”
Likewise, in 2025, the recalls seemed constant for Ford, with the brand breaking records halfway through the year for the most recalls of any automaker in a full calendar year. The brand has also seen more recalls over the past decade than all other auto brands, with 458 recalls from 2015 through 2024.
The advice you get early in your career can disproportionately shape your future. I can recall two or three conversations from when I was a college kid who liked writing that melted away ambiguity and set my vague ambitions on a path into the fog like a compass.
For the latest release by The Steve Jobs Archive, the group is making the advice of some of the most uniquely impactful people in the world available to everyone.
Given that Jobs did not own many physical objects, the archive has served as more of a repository of ideas for the next generation to think different. Each year, the Archive takes on SJA Fellows. And each year, it gives these fellows a book of letters.
The concept is modeled after one of Jobss favorite books, Letters to a Young Poet, a collection of letters that German poet Maria Rilke wrote to his aspiring mentee Franz Xaver Kappus. The Archive, meanwhile, taps its friends to pen similar inspirational notesauthored by a global network of marquee creatives.
The Steve Jobs Archive has released its first two volumes of Letters to a Young Creator today on its website. Free to read and download to anyone who is curious, they contain advice from so many names you will knowincluding Tim Cook, Dieter Rams, Paola Antonelli, and Norman Foster.
To mark the launch, were featuring the letter from Steve Jobss closest collaborator, Jony Ive. Through the beautiful, short note, Ive shares many of his dearest philosophies, and some of the ideological structure behind the duos unparalleled success.
JONY IVE SAN FRANCISCO, CALIFORNIA, USA SEPTEMBER 11, 2024Hello! I thought it may be useful to reflect on my time working with Steve Jobs. His belief that our thinking, and ultimately our ideas, are of critical importance has helped inform my priorities and decision making. Since giving his eulogy I have not spoken publicly about our friendship, our adventures or our collaboration. I never read the flurry of cover stories, obituaries or the bizarre mischaracterizations that have slipped into folklore. We worked together for nearly 15 years. We had lunch together most days and spent our afternoons in the sanctuary of the design studio. Those were some of the happiest, most creative and joyful times of my life. I loved how he saw the world. The way he thought was profoundly beautiful. He was without doubt the most inquisitive human I have ever met. His insatiable curiosity was not limited or distracted by his knowledge or expertise, nor was it casual or passive. It was ferocious, energetic and restless. His curiosity was practiced with intention and rigor. Many of us have an innate predisposition to be curious. I believe that after a traditional education, or working in an environment with many people, curiosity is a decision requiring intent and discipline. In larger groups our conversations gravitate towards the tangible, the measurable. It is more comfortable, far easier and more socially acceptable talking about what is known. Being curious and exploring tentative ideas were far more important to Steve than being socially acceptable. Our curiosity begs that we learn. And for Steve, wanting to learn was far more important than wanting to be right. Our curiosity united us. It formed the basis of our joyful and productive collaboration. I think it also tempered our fear of doing something terrifyingly new. Steve was preoccupied with the nature and quality of his own thinking. He expected so much of himself and worked hard to think with a rare vitality, elegance and discipline. His rigor and tenacity set a dizzyingly high bar. When he could not think satisfactorily he would complain in the same way I would complain about my knees. As thoughts grew into ideas, however tentative, however fragile, he recognized that this was hallowed ground. He had such a deep understanding and reverence for the creative process. He understood creating should be afforded rare respectnot only when the ideas were good or the circumstances convenient. Ideas are fragile. If they were resolved, they would not be ideas, they would be products. It takes determined effort not to be consumed by the problems of a new idea. Problems are easy to articulate and understand, and they take the oxygen. Steve focused on the actual ideas, however partial and unlikely. I had thought that by now there would be reassuring comfort in the memory of my best friend and creative partner, and of his extraordinary vision. But of course not. More than ten years on, he manages to evade a simple place in my memory. My understanding of him refuses to remain cozy or still. It grows and evolves. Perhaps it is a comment on the daily roar of opinion and the ugly rush to judge, but now, above all else, I miss his singular and beautiful clarity. Beyond his ideas and vision, I miss his insight that brought order to chaos. It has nothing to do with his legendary ability to communicate but everything to do with his obsession with simplicity, truth and purity. Ultimately, I believe it speaks to the underlying motivation that drove him. He was not distracted by money or power, but driven to tangibly express his love and appreciation of our species. He truly believed that by making something useful, empowering and beautiful, we express our love for humanity. My sincere hope for you and for me is that we demonstrate our appreciation of our species by making something beautiful. Warmly, Jony Jony Ive Designer, LoveFrom
Read more from Letters to a Young Creator here.
Read more on the professor who shaped Jony Ive here.
As built-in AI pops up in more aspects of everyday life, laymen are counting on the experts to keep technology safe to use. But one Meta employees misadventure with AI has social media users fearful for the future of AI alignment.
Summer Yue is the director of alignment at Meta Superintelligence Labs, the companys AI research and development division. Her LinkedIn bio states that shes passionate about ensuring powerful AIs are aligned with human values and guided by a deep understanding of their risks.
If anyone would have a handle on keeping AI in check, its Yueand yet, on February 22, she posted about losing control of AI on her own computer.
In a post thats since garnered nearly nine million views on X, Yue shared screenshots from her messages with AI agent OpenClaw. After using it to organize a small mock inbox, she tried getting OpenClaw to sort through her real email, but things went awry when the agent started deleting every message that was more than a week old.
Yue wrote that she watched OpenClaw speedrun deleting [her] inbox, even as she sent it instructions, including: Do not do that, Stop dont do anything, and STOP OPENCLAW.
I couldnt stop it from my phone. I had to RUN to my Mac mini like I was defusing a bomb, Yue added.
After shed stopped it from fully nuking her inbox, Yue asked OpenClaw if it remembered her instruction to not perform any actions without her approval.
Yes, I remember, it replied. And I violated it. Youre right to be upset.
Nothing humbles you like telling your OpenClaw confirm before acting and watching it speedrun deleting your inbox. I couldnt stop it from my phone. I had to RUN to my Mac mini like I was defusing a bomb. pic.twitter.com/XAxyRwPJ5R— Summer Yue (@summeryue0) February 23, 2026
OpenClaw, an open-source AI agent, is controversial for the far-reaching permissions it requires to function as intended, including access to users email accounts, messaging platforms, and other private and potentially sensitive information.
Combine that with Yues example of it explicitly ignoring her instructions, and some online observers are concerned the tool is a bridge too far in terms of AIs power to override humans.
Yue responded to questions in the replies to her post, including whether she was intentionally pushing the limits of OpenClaw, or if she simply made a mistake.
Rookie mistake tbh, she replied. Turns out alignment researchers arent immune to misalignment. Got overconfident because this workflow had been working on my toy inbox for weeks. Real inboxes hit different.
Yues mistake went viral, with X users marveling at the fact that someone as well-versed in AI as Yue could find herself scrambling to stop an AI agent. Some posters said the incident called Metas judgment on AI safety into question.
Meanwhile, at least one poster considered the incident’s broader implications: A matter of time till these people are begging the AI not to launch nuclear weapons,” the user quipped, “and then the last thing it says is I’m sorry. You’re right to be upset.”
this should terrify you. the Director of Safety and Alignment at meta gave clawdbot full-access to her computer. what is meta doing??? https://t.co/lAZFR9f1PB pic.twitter.com/XnMyMHSn5H— ben (@benhylak) February 23, 2026
Somewhat concerning that a person whose job is AI alignment is surprised when an AI doesnt precisely follow verbal instructions https://t.co/VNl0oq3Ys4— Brooks Otterlake (@i_zzzzzz) February 23, 2026
Concerning to see one of the people in charge of building "safe superintelligence" panicking as AI deletes all her emails. A matter of time till these people are begging the AI not to launch nuclear weapons and then the last thing it says is "I'm sorry. You're right to be upset." https://t.co/2235MH3K76— Nathan J Robinson (@NathanJRobinson) February 23, 2026
Meta did not respond to Fast Companys request for comment.
The Epstein Files are dominating nightly news broadcasts and newspaper front pages. But in the media ecosystem theres another format thats proving a massive draw to news consumers: a podcast run by a non-journalist and entirely generated by AI.
The Epstein Files is an investigative documentary podcast that, at the time of writing, has published 97 episodesnew episodes get uploaded twice dailyand notched up more than 700,000 downloads in a matter of days. That puts it in the top 10 rankings of podcast series on Apple Podcasts, and in the top 30 on Spotify. But its created by Adam Levy, an entrepreneur with a background in building data products and content creation, who has no experience in journalism.
Levy launched the Epstein Files podcast in early February after the trove of documents relating to the late financier and convicted sex offender Jeffrey Epstein was released to the public. After 48 hours of hackingworking 14- to 16-hour daysLevy built an automated pipeline that ingests the raw files, extracts text from emails and images, cross-references sources, and produces scripted podcast episodes narrated entirely by AI-generated voices.
People just want no bullshit, says Levy. Strip the emotion, strip the bullshit, strip everything awayjust tell me things for what they are and when you tell it to me, help me understand the facts.
The technical architecture behind the project stitches together multiple large language modelsfrom Anthropics Claude to Google and OpenAIs offeringsto connect names, places, themes, and timelines across the 3.5 million files that were released, with connections requiring a confidence score of veracity to be included in the podcast. Levy supplements the raw dump with material from the Internet Archive and Google Pinpoint, a tool that other investigators have used to index portions of the files, as well as other bottoms-up projects like Jmail, which turns the Epstein Files emails into a navigable inbox like any other.
Using and citing those sources was vital, Levy says, to counteract fears of hallucinations. Everybodys quite skeptical of AI, he says. It was really important to reference all the sources that were used to basically construct the episode.
Like Clawdbot or a lot of the current AI simulation exercises, it piques curiosity, then rapidly becomes tedious, says Emily Bell, founding director of the Tow Center for Digital Journalism at Columbia University, explaining why the podcast has had such popularity in its early days. I thought the first episode was pretty listenable but also very obviously AI to anyone who has fed data or a script to NotebookLM.
Yet Bell found that the more episodes she listened to, the harder it was to sustain interest and engagement. It provided a helpful forensic audit of data, but its not something I am going to sign up to and listen tounless I am doing other work on the files, she says. For that, its pretty useful, and an interesting use of the tools.
Those tools are something Levy has thought about. I’ve been able to out execute any other outlet that tried to document the episode, he explains. They just won’t be able to [produce episodes at such speed. That has additional benefitsincluding being able to ride podcast app algorithms. That also helps with discovery, and the people who like getting into rabbit holes, this gave them a really big hole to dive into. Levy tells Fast Company he is already building a second series on an undisclosed subject, applying the same AI pipeline to a different story.
Whether you appreciate the quality of the finished podcast or not, the fact that such an AI-heavy podcast could garner such a large audience is significant, and the consequences for journalistsparticularly those covering complex, document-heavy storiesare hard to ignore.
I could easily be in the camp of: these tools are going to replace me, Im screwed, says Levy. Or I can figure out how to embrace them and find a new pocket for myself. Maybe Im no longer the voice. Maybe I just become the curator.
Not everyone is convinced that speed and sourcing are sufficient substitutes for editorial judgment. Just because something like the Epstein Files can be produced doesnt mean that this will work with most audiences, says Nic Newman, a journalist and digital strategist who contributes to research at the Reuters Institute for the Study of Journalism at the University of Oxford. He has conducted recent research suggesting publishers are likely to produce more audio content as a defense against AI. The idea being that AI struggles with empathy and human connection compared with human hosts and it is harder to summarize things in audio in a way that feels authentic and intimate, he says.
As Bells experience shows, what was first seen as a novelty doesnt necessarily translate into a regular audience. If I didnt already know a significant amount about the files, the investigations, the backgroundI would have found many of the episodes very hard to follow, she says. And boring.
However, people seem to be sticking around and rating it relatively highly: The podcast currently has a 4.4 rating on Apple Podcasts. The goal was to just build something that I was personally curious about and I would enjoy listening to, says Levy, and maybe other people would reciprocate the same value.
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Just 10 days ago, on February 10, Japan-based Sumitomo Forestry announced that it had agreed to acquire Tri Pointe Homesa large U.S. homebuilder ranked No. 715 on the Fortune 1000for $4.5 billion, signaling that Japanese builders were further accelerating their buying spree of U.S. homebuilders.
Fast-forward to today, and Stanley Martin Homeswhich has been owned by Japan-based Daiwa House since 2017announced that it has agreed to buy United Homes Group, which has a strong presence in the Carolinas, for $221 millionfurther accelerating Japanese builders buying spree of U.S. homebuilders.
Japanese builders are quickly expanding their U.S. footprint through acquisitions.
Daiwa House: Japan-based Daiwa House has quietly built one of the most geographically diversified U.S. homebuilding footprints among Japanese builders. It entered the U.S. market in 2017 with its acquisition of Stanley Martin Homes, followed by the purchase of Trumark Homes (No. 67 largest U.S. homebuilder) in 2020. In September 2021, Daiwa House completed its acquisition of CastleRock Communities (No. 49 largest U.S. homebuilder), giving it a strong presence in Sun Belt markets in Arizona, Texas, and Tennessee. Together, Stanley Martin, Trumark, and CastleRock span Sun Belt and mid-Atlantic regions, and with Stanley Martins newly announced $221 million acquisition of United Homes Group, Daiwa House is further accelerating its U.S. expansion.
Sumitomo Forestry: For Sumitomo Forestrya Japan-based forestry, timber, and homebuilding companyits Tri Pointe Homes acquisition this month meaningfully accelerates its U.S. expansion goals, including its stated target of delivering 23,000 homes annually in the U.S. by 2030. In 2016, Sumitomo Forestry became the majority owner of DRB Group (Americas No. 20 largest homebuilder). In April 2025, Brightland Homes (Americas No. 24 largest homebuilderwhich Sumitomo Forestry acquired a majority stake of in 2016) consolidated into DRB Group.
Sekisui House: Japan-based homebuilder Sekisui House, operating in the U.S. under SH Residential Holdings (Americas No. 6 largest homebuilder), has also been on a multiyear U.S. homebuilder buying spree. Since 2017, Sekisui House has acquired homebuilders Woodside Homes, Chesmar Homes, Holt Homes, and Hubble Homes. In April 2024, Sekisui House really shook up the industry when it acquired M.D.C. Holdings (Richmond American Homes) for a staggering $4.9 billion. Sekisui Househas also expanded into the U.S. with its homegrown Japanese builder brand, Shawood.
According to ResiClubs analysis, once the Tri Pointe Homes and United Homes Group acquisitions are completed, Daiwa House, Sekisui House, and Sumitomo Forestry will have a combined market share of at least 5.5% of U.S. single-family home construction.
Why are Japanese firms making such a large bet on U.S. housing?
At a high level, the answer is demographic and structural. Japans domestic population is shrinking and aging (fast!), limiting long-term housing growth and risking a sharp contraction for Japanese homebuilding firms like Daiwa House, Sekisui House, and Sumitomo Forestry.
The United States, by contrast, continues to experience population growth and household formationparticularly in the Sun Belt markets where many big U.S. homebuilders operate. For Japanese firms seeking stable, long-duration growth, U.S. homebuilding offers scale and better demographic tailwinds.
Theres also a strategic element. The U.S. homebuilding industry remains fragmented beyond the top few public builders, creating opportunities for well-capitalized global players to roll up regional operators while preserving local brands and management teams. Both Sumitomo Forestry and Sekisui House say they prioritize locally led operations, supported by centralized capital and global expertisea structure designed to preserve builder culture while providing financial and operational backing.
Dark Sky was a rarity in the app world. Universally beloved, the weather app had an uncanny ability to tell you when to expect rain, down to the minute. So when Apple announced plans to buy it six years ago, there was a collective sigh of frustration.
The Android version, of course, disappeared almost immediately, while the iOS version was folded into Apples native Weather app. (The stand-alone iPhone app was discontinued.) The integration was never quite the same, though, and it seemed as if the magic of Dark Sky was lost. Now, however, the team behind the app is hoping lightning strikes twice.
The developers of Dark Sky have announced a new iPhone app called Acme Weather, a tool meant to address the uncertainty inherent in meteorological forecasts. (An Android version is forthcoming.)
“It is a simple fact that no weather forecast will ever be 100% reliable: the weather is moody, fickle, and chaotic. Forecasts are often wrong,” the team writes in its announcement blog post. “Rather than pretending we will always be right, Acme Weather embraces the idea that our forecast will sometimes be wrong.”
In practical terms, that means Acme Weather, which comes with a two-week free trial and then costs $25 per year, offers its best estimate for a range of weather data points, including temperature throughout the day (as well as the feels-like temperature), dew point, humidity, and more. Those predictions appear as a dark line. Alternate possibilities appear as lighter shaded lines layered on top.
The closer those lines are to each other, the more confident the forecast. A wider gap signals more uncertainty, suggesting you may want to monitor conditions more closely and check the app more frequently to see how things are trending.
The homegrown forecasts, the team says, will be even more accurate than those in Dark Sky, thanks to a wide range of data sources, including numerical weather prediction models, satellite data, ground station observations, and radar.
The app will also incorporate community reports, letting people share conditions in their area. That could be especially helpful during severe weather, as radar is not 100% reliable. It has trouble, for instance, recognizing the difference between freezing rain and snow sometimes.
Reporting the weather is simple: Choose the icon that reflects current conditions. And, if youd like, you can add commentary by selecting an emoji to reflect how the weather feels. (Yes, the poop emoji is an option for particularly rough days.)
Just note that by using the community reporting feature, you will disclose your location to other users. While the app doesnt reveal an exact address or identifying information, it does display your location on the map at the time of reporting with a fairly high degree of accuracy. (Community reporting is completely optional, but cannot be withdrawn once submitted.) The company, in its announcement, pledged not to collect unnecessary data, use third-party trackers, or sell user information to advertisers.
The app also features the maps you would expect, including radar and lightning. It will offer rain and snow totals, hurricane tracks, and cloud cover. And, like Dark Sky, it will alert you when weather is approaching. This time, though, you can customize alerts based on what you care about, from rain to nearby lightning to the possibility of a rainbow or especially striking sunset.
“Weve been making weather apps for 15 years, from Dark Sky to Apple, and this is the culmination (the acme?) of everything weve learned along the way,” the blog post reads. “Its the weather app weve always wanted, and always wanted to build.”
I want a space odyssey. I wanted Star Wars. I got close to that once.
Thats production designer Hannah Beachler, talking about the grand filmic world she wants to build next.
For our February episode of By Design, we spoke to Beachler (Creed, Black Panther) about her latest work with director Ryan Coogler on Sinnersthe most Oscar-nominated film of all time. We caught up with her last time before she bagged an Oscar on Black Panther and then designed the sequel.
https://statics.teams.cdn.office.net/evergreen-assets/safelinks/2/atp-safelinks.html
Shes up for her second Academy Award for production design on Sinners next month, and she shared the painstaking process she takes to build historically authentic and thematically rich sets, even when that means investing in details that the audience will never see.
Oh, and for the first time, we put that entire interview up on YouTube, if you prefer to watch the interview rather than just listen.
We also got into a lot of hot topics: saying farewell to the best and worst designs of the Olympics, breaking down what it means now that ads are on ChatGPT, and exploring the ins and outs of LoveFroms new collaboration on Ferraris Luce EV.
And to cap things off? We pick a long-overdue fight with Microsoft Teams in a segment called Fix Your Shit. Have you ever met a single other human who liked that software? Neither have we.
Listen to our latest episode on Apple Music or Spotify, and catch the video interview on YouTube.
Meatball fans beware: A nationwide recall is underway for a popular brand of frozen meatballs sold at Aldi. The recall is due to the possibility that the product may contain metal fragments, which could cause serious injury if consumed. Heres what you need to know.
Whats happened?
On Sunday, the U.S. Food Safety and Inspection Service (FSIS) posted a safety alert about a Class 1 recallthe highest possible designation the agency assigns to recalled products.
A Class 1 recall means that there is a health hazard situation where there is a reasonable probability that use of the product will cause serious, adverse health consequences or death, according to the agency.
The Class 1 recall covers a Bremer-branded ready-to-eat frozen meatball product sold at Aldi stores. The recalled meatballs were produced by Rosina Food Products, Inc., a West Seneca, N.Y., company, which initiated the recall.
Approximately 9,462 pounds of the frozen meatball product are being recalled. The issue at hand is that the recalled meatballs may contain metal fragments, which could harm individuals who consume them.
What meatball product is being recalled?
The recall covers only one meatball product sold under the Bremer brand. That product is:
32-oz. printed poly film bag packages of fully cooked frozen Bremer FAMILY SIZE ITALIAN STYLE MEATBALLS containing about 64 meatballs per package with BEST BY date of 10/30/26 with timestamps between 17:08 through 18:20 printed on the back of the label.
According to the recall notice, the recalled product has an establishment number of EST. 4286B inside the USDA mark of inspection. The products were produced on July 30, 2025.
Images of the recalled products packaging can be found here.
Where were the recalled meatballs sold?
According to the FSIS notice, the recalled product was shipped to Aldi supermarket locations nationwide.
Has anyone been harmed from eating the recalled meatballs?
As of the recall notices posting date, no one is known to have been injured due to the consumption of the recalled product.
However, the issue was discovered after a consumer reported to the FSIS that they found metal fragments in the meatballs.
What should I do if I have the recalled meatballs?
Given that the recalled product has a 15-month shelf life, the FSIS is concerned that consumers may have purchased the meatballs a while ago, yet might still have them in their freezers or refrigerators.
If you think you may have purchased the recalled meatballs, you should check your freezers and refrigerators for them. If you have the recalled products, the FSIS says you should not consume them. Instead, you should throw the product away or return it to its place of purchase.
Full details about the meatball recall can be found on the FSISs website here.
