Aaron Holmes / The Information: Palo Alto Networks says Mythos found 24+ critical bugs, burning $1M+ of tokens, subsidized by Anthropic; some companies say they plan to boost Mythos spending  —  When Palo Alto Networks earlier this year began testing Anthropic's Claude Mythos to comb through its own source code, it didn't take long to see the future of cybersecurity.

Liana Baker / Bloomberg: SEC filing: quantum computing startup Quantinuum boosts its IPO, aiming to sell 26.5M shares for $53-$55 each, raising up to $1.46B at an up to $14.3B valuation  —  Honeywell International Inc.-backed quantum computing company Quantinuum Inc. boosted the size of its initial public offering …

Loni Prinsloo / Bloomberg: African e-mobility startup Spiro, which owns 100K+ electric motorcycles, raised $215M at a near-$1B valuation, after raising $100M in 2025 and $50M debt in 2026  —  African electric-mobility startup Spiro raised $215 million backed by European and African investors as it nears $1 billion in value …

Table of Contents Apache Airflow Document Ingestion Pipeline for RAG Systems Introduction to Production-Grade Document Ingestion Pipelines Why Airflow Instead of Cron Jobs or Celery? Apache Airflow Document Ingestion Pipeline Architecture Component 1: FastAPI Ingestion Service Component 2: Apache Airflow… The post Apache Airflow Document Ingestion Pipeline for RAG Systems appeared first on PyImageSearch.

Charles Capel / Bloomberg: SEC filing: SpaceX will reserve up to 5% of its Class A shares for select employees and executives' friends and family; 60%+ of shares have an extended lock-up  —  SpaceX will reserve up to 5% of shares in its upcoming initial public offering for certain employees and friends and family …

Every pixel in this image has a unique color. Douglas Goodwin A peacock feather in sunlight shifts from blue to green to bronze as you turn it. Photograph it, and this shimmer collapses into one angle, one exposure, one compromise. A digital image is not a record of what your eye sees. The standard color space that most digital images use was built for an older display world, when cathode-ray tube monitors swept beams of electrons across phosphor-coated glass. This standard color space made color predictable across many devices, but the compromise was a narrower range of colors for screens, cameras and image files to share. Whatever the screen offers feels complete. It is not that your eyes cannot see more; digital images give them less to work with. I teach a class about color at the California Institute of the Arts called Plastics, Neon, and Psychedelia, which covers the many ways color is produced: by materials, by light, by screens and by the mind. I also have a condition called deuteranomaly, which changes the way I discriminate color, though not in the way you might imagine. A deuteranomalous eye does not simply lose color distinctions – it remaps them. Vision researchers in Cambridge showed in 2005 that deuteranomalous observers can reliably distinguish khakis and olives that look identical to people with standard color vision. I have mistaken a traffic light for an overhead streetlamp while driving at night, but my color vision is not a shrunken copy of ordinary vision: It is a different map of the same ground. While my eyes leave some colors uncertain, they sharpen other distinctions. Screens impose another kind of limit, though more quietly: They organize color according to their own rules, then offer that version as complete. My eye and the screen are both maps that include and exclude differently. Mine trades some distinctions for others. The screen trades range for reliability. The question for any color system is not whether it is accurate but what it keeps. From wild green to screen green My neon pothos houseplant is so green that it seems to generate its own light. Photograph it with a smartphone and the result is fine: The leaves are green, the picture makes sense. But the green in the photograph is not the green on the plant. Look at the photo. Look at the plant. Then look at the photo again. The photographed leaves are muted, but not evenly. Some greens flatten while others appear boosted, as if the phone were trying to compensate for what it cannot show. The leaves on the actual plant are electric. No phone I own, no printed page and no Instax print has captured that green, though the Instax comes closer. Here is what happens. Light bounces off the pothos and strikes the phone’s sensor, which records numbers representing the color the phone sensed. Each pixel is stored as a recipe for red, green and blue light: three values that tell a screen how much of each primary color to emit. In much of the image world, those numbers are still translated into sRGB, the default color space for ordinary digital images. Color scientists map human color perception as a horseshoe-shaped field. A standard display space cuts a triangle from that horseshoe, enclosing only part of what the eye can see. A triangle’s straight sides cannot follow the horseshoe’s curve, so some colors always fall outside the display space. Many modern screens can show more than sRGB, but sRGB remains the default format for ordinary digital images because it works reliably across devices and platforms. The pothos green is remapped to fit, and that remapped version is the picture you get. Screen green is not wild green. Every medium translates color in its own way. Film does too, through chemistry, exposure, dyes and paper. The Instax print is not more accurate in any absolute sense, but it conveys the pothos differently. It reflects light from a surface rather than rebuilding color as light from a screen. The green feels denser, less flat and less removed from its source. The Instax still misses the plant’s absolute color, but it misses it in a different way. The phone’s translation matters now because people see a thing’s color on a screen before they meet it in the world. When AI learns from limited colors AI image generators do not simply inherit this color gap. They can amplify it. They are not trained on the plant in front of you. They are trained on other people’s photographs of plants like it: millions of images already filtered through sensors, editing software, platform compression and the color limits described above. Many of the vivid greens were clipped or shifted before the model ever encountered them. Ask an AI image model to generate a peacock feather and you will likely receive a competent image: the canonical eyespot, the dark pupil, the cyan ring, the gold, the magenta rim. The surviving colors are the ones the image world knows how to keep. What is missing is the iridescence. In a real feather, the barbs can flash the same blue-green-bronze as the eyespot. A photograph fixes that shimmer to a single angle. The generated image flattens it further. Its barbs are muddy brown with faint metallic highlights. The model has learned the symbols of a peacock feather, but not the event of seeing one turn in the light. Generative models make images from the patterns they find most often in their training images. They render ordinary brightness convincingly. The rarer effects are the ones that slip away: saturated colors, metallic flashes, structural glints. The model can still make an image that looks bright, even spectacular. But its brightness is screen-native, learned from other images on screens, not from seeing the subject itself. The loop tightens with each pass. AI-generated images are uploaded, shared, indexed and may be folded into future training sets. When models train on material produced by earlier models, their outputs narrow over time. The rare colors are the first to go. These images do not stay inside the machine. They can fill social media feeds and image searches until they stand in for the thing itself. The simulated green becomes the green you meet first. Watching for the gap Day after day, screens show you only the colors inside their range, translating anything outside that range into colors they can display. If you only ever see the beetle wing as a dull image, nothing tells you a brighter one ever existed. It will just look dull. If every picture of a plant arrives with its greens muted into the same screen-safe range, that range becomes green. You will not miss the absent colors. One way to observe the gap is to find something vividly colored: a ripe persimmon, a peacock feather, the orange-pink at the bottom of the desert sky. Look at it before you photograph it. Stay with it. Stand close. Give it a name, even a private one. Then photograph it. Hold the image next to the thing. That distance is the gap. The wild colors have not been erased. They have been excluded from the screen’s territory. The version that travels is what gets remembered. The thing is still there. Look for it. This article draws on research for Douglas Goodwin's book-length manuscript, "The Color Gap." He does not work for, consult for, own shares in, or receive funding from any company or organization that would benefit from this article.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. China has approved the world’s first invasive brain-computer chip—here’s what’s next Sitting in the courtyard of his house in China’s Henan province last October, Dong Hui decided to try holding a…

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Wolfgang Puck showed me how to make his signature dish, the smoked salmon pizza. Stella Kalinina for BI Wolfgang Puck's signature dish is the smoked salmon pizza. He invented the dish at his restaurant, Spago, in 1982, when he ran out of bread. Puck and his son, Byron, showed us how to make the iconic pie so that you can make it at home. Gordon Ramsay revived the beef Wellington, Nobu Matsuhisa brought us black cod miso, and Wolfgang Puck, well, he's the father of smoked salmon pizza. Much like potato chips and cheese, Puck's signature dish was a happy accident that helped change the way we eat. He believed pizza was the perfect vehicle for California's bounty of fresh ingredients and, with the help of his pizza chef Ed LaDou, elevated the humble pie to a gourmet specialty. The locals and celebrities couldn't get enough. Johnny Carson was known to order 10 pizzas at a time and stick them in his freezer, inspiring Puck to launch a frozen-food empire, and the smoked salmon pizza has been served at the official Oscars after-party every year since 1994. But you don't need to book a trip to Beverly Hills or get nominated for an Academy Award to enjoy the pizza. I went behind the scenes at Spago, where the pie was invented, to learn how Puck makes his most iconic dish. Wolfgang Puck's smoked salmon pizza was inspired by a request from Joan Collins. Stella Kalinina for BI The actress came into Spago one day in 1982, the year Puck opened the restaurant, and requested smoked salmon with brioche. Puck had run out of bread but knew he needed to do something to keep the famously fiery "Dynasty" star happy. "You don't want to make Joan Collins mad," Puck joked in his 2021 documentary "Wolfgang." Puck got the idea to add smoked salmon to baked pizza dough. He paired the salmon with crème fraîche and some dollops of caviar to impress Collins, who, at the time, was the highest-paid actress on TV. The unusual dish was an instant hit. "It had no tomato sauce; it had no cheese," legendary chef Nancy Silverton, who got her start at Spago, recalled in the documentary. "As simple as that sounds today, I don't think anyone had done a pizza like that before." The smoked salmon pizza had a huge influence on Puck's son, now president of the Wolfgang Puck Fine Dining Group. Stella Kalinina for BI When Byron Lazaroff-Puck was in kindergarten, his parents organized a field trip to Spago for his class. The 5-year-olds were given mini chef coats and hats to wear while Puck showed them how to make pizza. "I always look back on that really fondly, because it was the first time I felt really proud about what my family did," Lazaroff-Puck told me. "And as I grew up and started working in the restaurants, it was always the station I felt so enamored with." The smoked salmon pizza was also one of the first dishes to spark Lazaroff-Puck's interest in cooking. "It has this confluence of flavors that is built upon multiple layers," he added. "It was seminal in my own creative journey of getting interested in food. To be able to now teach it to others, too, is one of the coolest things I could ask for." And with that, it was my turn to learn! We began by gathering the ingredients and molding the pizza dough. Stella Kalinina for BI If you want to make Puck's smoked salmon pizza at home, you'll need: 6 ounces of pizza dough 1 tablespoon of chili and garlic oil ¼ cup of thinly sliced red onion 2 tablespoons of dill cream (dill-infused crème fraîche) 2.5 ounces of thinly sliced smoked salmon 1 teaspoon of chopped fresh chives 1 tablespoon of sevruga caviar (optional) After flouring the counter to prevent the dough from sticking, Lazaroff-Puck showed me how to stretch the dough into an 8-inch circle. The outer edge, he noted, should be a little thicker than the inner. Then we brushed the dough with oil… Stella Kalinina for BI If you don't have chili and garlic oil on hand, you can always use olive oil! … and added the red onion. Stella Kalinina for BI We sprinkled the red onion slices evenly over the dough. The dough is baked in Spago's wood-fired pizza oven. Stella Kalinina for BI If you're making this at home, Lazaroff-Puck recommends preheating the oven to 500 degrees Fahrenheit and baking the dough on a pizza stone placed on the middle rack. You'll know the crust is ready when it's golden brown, which should take around six to eight minutes. Remove the pizza from the oven and set it on a firm surface. The pizza crust is topped with Spago's dill cream. Stella Kalinina for BI You can make the cream ahead of time by mixing some crème fraîche with chopped dill. Add extra flavor with chopped shallots, a squeeze of lemon, and some salt and pepper. Then it's time to layer the smoked salmon slices. Stella Kalinina for BI Spago's executive chef Ari Rosenson, who began working at the restaurant when he was 16, said the salmon is butchered and smoked in-house. "The recipe has been altered very little over the years," he added. "It's got all the little things you look for in a good dish — sweet, sour, it just hits all the marks." I followed Lazaroff-Puck's advice and arranged the slices of salmon so that they covered the entire pizza, making sure they slightly overlapped along the inner border. The pizza is topped with chopped chives and dollops of caviar. Stella Kalinina for BI If you're using caviar at home, Lazaroff-Puck recommends adding a small spoonful to the center of each slice. One bite makes it easy to see why Puck's smoked salmon pizza has been a classic for over 40 years. Stella Kalinina for BI Just as chef Rosenson said, Puck's pizza hits every mark. The crust has that satisfying crackle from the wood-fired oven, the crème fraîche is light and bright, and the smoked salmon paired with caviar tastes like luxury personified. It's fun, it's unexpected, and, frankly, it's iconic. All of the above could also be said of Puck, who, at 76, is still cooking all over the world, now with his son by his side. And it all started with a pie. Read the original article on Business Insider

Bill Gurley, during the Forbes 30 Under 30 Summit in April 2026, in Phoenix. Astrida Valigorsky/Getty Images Bill Gurley said AI job fears mirror the warnings of the Industrial Revolution. The tech investor says innovation has historically created prosperity, and he believes AI will too. As layoffs mount, economists and CEOs are increasingly challenging AI job-loss narratives. As the debate rages on about whether AI is eliminating jobs, Bill Gurley thinks many of today's fears echo a historical mistake. The longtime venture capitalist said on a recent episode of the "All-In Podcast" that warnings about AI destroying jobs look like concerns raised during the Industrial Revolution — concerns he said ultimately proved wrong. Gurley pointed to Pope Leo XIII's 1891 encyclical, "Rerum Novarum," which warned that the Industrial Revolution and the rise of industrial capitalism could harm workers and widen social inequality. The comparison came as the hosts discussed a recent AI-focused encyclical from Pope Leo XIV, the current pope, who warned that mass AI-driven unemployment could become a "true social calamity." "Leo the 13th encyclical warned that the industrial revolution was going to be bad for people," Gurley said. He said that the century that followed delivered a dramatic rise in living standards instead. "The workweek went from over 60 hours to 34 hours globally. Real wages went up 8 to 10x adjusted for inflation," Gurley said. He added that life expectancy rose, workplace deaths declined, and global poverty fell from roughly 75% of humanity to under 10%. While some of the broader trends Gurley cited are well documented, some of the specific figures are difficult to verify. Data from the UN's International Labour Organization — its agency for the world of work — showed that the average worker globally worked about 43.9 hours a week before the pandemic. And while economists broadly agree that real wages have risen dramatically since the Industrial Revolution, the gains have been far less pronounced for typical US workers in recent decades. Research from the Economic Policy Institute shows that since 1979, productivity has grown roughly eight times faster than pay for typical workers. "All those things happened because of technology, innovation, and capitalism, which is exactly what Leo the 13th was warning against," Gurley said. "So he got it dead wrong." The investor said he sees no reason to believe AI will break that historical pattern. "Historically, innovation has led to more prosperity for humans," Gurley said. "I see no reason why that won't happen here." The AI jobs debate is shifting Gurley's view reflects a growing pushback against AI doomerism. Apollo chief economist Torsten Sløk said in May that there is "zero evidence" that AI is causing job losses, while Goldman Sachs CEO David Solomon said that the technology is more likely to automate tasks than eliminate workers. Some of AI's most prominent voices, including OpenAI CEO Sam Altman, have softened earlier predictions of widespread unemployment. At the same time, many major companies including Block, Cloudflare, Cisco, IBM, Coinbase, and Snap have cited AI as a factor in recent layoffs — a trend some economists and industry leaders believe may overstate the technology's impact and downplay other pressures, including years of overhiring during the pandemic, higher interest rates, inflation, budget-cutting initiatives, and uncertainty around trade policy and tariffs. While Gurley said that automation could reshape some types of jobs, he said that workers who embrace AI tools will be better positioned than those who resist them. "The best way to protect yourself from AI is to be the most AI-enabled version of yourself you can be," he said. Read the original article on Business Insider

When investor trust is built through repeated in-person encounters, authentic conversations and thought leadership on meaningful problems, relationships and visibility matter more than aggressive fundraising outreach, argues guest author Alyx van der Vorm, whose startup raised $14 million as the result of personal interactions.

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Courtesy of Jill Gardner Jill Gardner leads a team of more than 500 family members who own Laird Norton. She married into the company, and it has changed how she thinks about family connections. The family holds annual summits and hosts camps for the youngest generations. This as-told-to essay is based on a conversation with Jill Gardner, family president at the Laird Norton Company. It has been edited for length and clarity. When I married my husband, Doug, I also married into his family business. My husband and his cousins are the fifth generation of his family to own the Laird Norton Company. The business was founded in 1855 by two brothers and their cousin as a lumber operation. Today, we're an investment firm that's involved with a variety of sectors. I was 24 when I got married, and I didn't have a clue what was going on with the business. That started to change when my daughter was born. I really started to pay attention to how unusual this legacy is. As I read up on our family history, I became absolutely fascinated. The business keeps distant cousins connected I grew up in a nuclear family with two brothers. We love each other, but we don't have a lot in common. There's no shared goal keeping us close, especially now that our parents have died, so sometimes keeping in touch feels hard. In my husband's family — now my family — the company fills that role. Today, there are 551 family members in seven countries who all share the common experience of owning and helping run the family business. The family plays an active role in running the company and forming its strategic planning. Family members elect the board of directors, which has seven family members and five non-family members, including the CEO. Because of this, our extended family has more in common than just being distant cousins. We disagree about everything under the sun, but agree about making the right decision for the company. We share an affinity for the business because it's part of our family legacy. I came to really respect and admire that. We produce a journal and host events Lucky for me, the Laird Norton family has always been very open to bringing married-in family members into the business. Part of that was through necessity. Most of the second generation of the family were women, so the men they married were brought to the table. Today, not all spouses take ownership of the company, but they can. As family president of the company, my role is to keep family members engaged. I help produce the Laird Norton family journal, which is somewhat similar to an alumni magazine. It's a place for the family to tell its story — everything from writing about personal interests, to sharing family trips, to announcing new babies and spouses. We've recently welcomed the first 8th-generation member of the family. We also get together each year. This summer, about 350 family members will meet in Salt Lake City for our annual summit. That's where we have a stakeholder meeting and talk about goals. Of course, it's fun too. My children, who are now grown, loved going to these events to catch up with their cousins. That created an authentic, genuine connection as they carry this legacy forward. We focus on keeping younger family members engaged There's a saying with family business that most go "shirtsleeves to shirtsleeves" in three generations, meaning the wealth is built, then lost again. That might have happened with Laird Norton, but we had a third-generation family member with the drive of a founder. He helped establish a company that could stand the test of time. When my husband was growing up, the company was less intentional about engaging family members. The cousins who are his age jokingly call themselves "the lost generation." Now, they've completely changed things for their children and grandchildren by being very intentional about bringing younger generations into the fold. During our summit, we run a camp for kids. Beginning at 14, family members can attend the business overview meetings. We have an internship program to help family members learn about the company, and a bi-annual "next gen" event specifically to engage family members age 21-40. Continuing to hold an eighth-generation business takes a lot of work. Having events that foster connection with the company and the cousins helps us ensure the Laird Norton family legacy continues. Read the original article on Business Insider

OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement workflows they already use. Customers can get started with OpenAI on AWS and move faster from evaluation to production.

Houston resident, Morgan S., said she's working, budgeting, and investing to retire early with $1.3 million. Jamie Lim A Houston resident shares how she budgets her $285,000 annual income. She has multiple streams of income and cuts costs by cooking at home and driving a used car. There are tradeoffs to living in the city, but she has no plans of leaving. This as-told-to essay is based on conversations with Morgan S., a 37-year-old strategy senior manager in Houston. It has been edited for length and clarity. I'm from Houston, and I love it. My monthly take-home pay from my corporate job is just under $10,000 after taxes. I feel very financially secure here and ahead of my age. One thing that outsiders may not know is that Houston's property tax is among the highest in the country because we have no state income tax. A lot of people hate on Houston, but the city has so much to offer. To afford the cost of living in Houston, I work to increase my income and live below my means. Regardless of how much money I bring in, I practice responsible spending. I have multiple streams of income I've worked in the energy industry for 15 years and currently work at a company with lucrative compensation benefits (e.g., a defined contribution plan and RSUs). I'm on a hybrid schedule, working in the office two to three days a week. My commute is about 25 minutes each way. My healthcare comes with my job for $92 a month, and it's pretty easy to set appointments. For investments, I have a rental property that pays me $2,900 a month and a private equity investment that pays me $1,250 a month. I've also started to earn some side income from social media. I started social media because there's more to life than corporate work, and there's so much to be made on these platforms. I currently have an agent pitching me for deals, and I believe in the value of building a monetizable personal brand. I plan to sell the $465,000 3-bedroom townhouse I purchased in 2025 I live in the Rice Military neighborhood, which is five miles from downtown. It's extremely walkable, there are multiple green spaces, and my family lives nearby. My house payment is $3,186 a month, plus about $300 in utilities, and there's no HOA. It's my second home, and I turned my first into a rental. Buying real estate is a huge commitment, and this one turned into a nightmare with tens of thousands of dollars in repairs. If I had just taken all the money I spent on this house and invested it in the market, I could've been much closer to my coast FIRE goal of $1.3 million. I'll probably sell this house, invest the proceeds, and move back into my more modest rental later this year. Here's how I budget to live below my means My net worth is $1.1 million in savings and investments. To get around, I drive a 2019 Mazda CX5 that I bought used. She gets me from point A to point B, and I plan to drive her until I can no longer do so. I have zero interest in upgrading. I budget about $400 per month for groceries and rarely go out or order delivery. I don't drink coffee every day, though on Saturday, I might walk to treat myself to a coffee. My partner and I are currently debating whether we want to spend $50,000 for a wedding or save that for the future. To save money, I believe in living below my means: a simple wardrobe made of natural fibers that lasts longer than a single wear, buying secondhand vintage, accepting hand-me-down furniture, and eating most meals at home. I also go without expensive hair and eyelash extensions. I prefer the city over the suburbs I've never lived in the suburbs, and don't think I'd want to. One trade-off to living in the city is the outdoors: my partner loves hiking and other outdoor activities, and we can't really do that here. Also, the suburbs offer a better dollar-per-square-foot, but I like being able to walk everywhere, so I think that's a better trade-off. It's possible that if I have kids, we might move to the suburbs for better schools. I'm still deciding on whether it's worth it to have kids, which I think a lot of millennials are contemplating. Living in Houston is worth it to me In Houston, we have lots of high-paying jobs, access to great amenities, and sports teams. We're even hosting the World Cup this summer. There's a huge Vietnamese community with delicious food; it may be one of the most diverse cities in the country. I've spent a good amount on dining out this past year and my gym membership. Another splurge is golf. Still, I plan to invest over $100,000 this year and save or invest 53% of my gross income. It's definitely worth it to me to live in Houston, and I have no plans on moving. Do you want to share your cost of living with Business Insider? Email editor Tess Martinelli at tmartinelli@businessinsider.com. Read the original article on Business Insider