At its low, Alphabet had lost $524 billion in stock market value, the second-biggest one-day loss ever for a US-listed company. Only Nvidia has lost more, about $593 billion on Jan. 27, 2025, the day China’s DeepSeek rattled AI investors. Alphabet would need to close at about $274.75, down roughly 15%, to take Nvidia’s record, by Yahoo Finance calculations. It has already blown past the $400 billion SpaceX lost on June 22, the previous No. 2.

In dollars, it’s Alphabet’s worst day by far. Its previous worst was about $275 billion on July 23. It’s also on track for the stock’s steepest drop after an earnings report since the company went public, according to Bespoke Investment Group. The previous low was a slide of nearly 10% in July 2008.

[…] US-listed stocks have shed $200 billion or more in a single session 18 times this year through Wednesday. That’s up from 13 in all of 2025 and none before 2022, according to Yahoo Finance calculations from Bloomberg data. Alphabet alone has lost about $1.4 trillion since its record in May.

The EU’s supercomputing network is run by the EuroHPC Joint Undertaking, an EU public-private vehicle with an 8.2 billion-euro budget. The network consists of 14 supercomputers (some ranked in the global top 10), 19 AI-focused AI factories and 10 quantum computers. The vehicle will also run seven massive AI data center hubs, known as AI gigafactories, set to be built next year with a total investment cost of 30 billion euros.

Experts praised a possible EU-Canadian compute power team-up, but warned it’s only the start. “Compute cooperation is one of the most obvious short-term ‘middle power’ cooperation plays in AI,” said Anton Leicht, technology and international affairs fellow at Carnegie Endowment for International Peace. But he added that for now “it doesn’t put a dent into the actual dependence” on the U.S. “As long as the U.S. builds gigawatt-scale clusters, no amount of cooperation that doesn’t result in massive buildouts will help,” he said.

Canada’s engagement in the EU’s supercomputer network builds further on Canada’s previous partial involvement in the EU’s flagship research and development program, Horizon Europe. Horizon Europe partially funds EuroHPC. To date, 38 countries have participated in the EU’s supercomputing network: 27 EU member countries plus non-EU countries including Norway, Switzerland, the United Kingdom, Israel and Turkey.

DoorDash has offered Instacart shareholders $65 per share held, representing a premium of about 26% to the stock’s closing price on October 22 before reports of deal talks first emerged. The consideration will be at least 75% cash, with Instacart shareholders able to elect cash, DoorDash stock or a combination of the two, the companies said.

[…] The transaction is expected to close at the end of 2027 or the first half of 2028. The deal could face scrutiny over its impact on competition, with New York City’s Department of Consumer and Worker Protection (DCWP) saying on Wednesday that a potential merger continued a “troubling trend” of corporate consolidation. DoorDash, however, pledged on Thursday that local grocers could continue to work with any delivery platform they choose.

It’s a big shift for the platform, but not an entirely surprising one, as Reddit hasn’t been shy about wanting to switch up the homepage. Earlier this year, the company announced it would be deprecating r/all, which surfaced posts that were popular across the platform, as part of its “ongoing efforts to simplify Reddit and improve Home feed personalization.”

The internet must be put out of its misery. Any rational observer can admit that the current iteration of the web — and the social fabric woven there — is not what they signed up for. Symptoms of advanced cultural decay can no longer be ignored. This thing is eating itself. Giants including Meta and Google have been forced to settle massive consumer lawsuits brought over privacy violations and mental health harms allegedly caused by the addictive mechanisms of their platforms. Schools are banning smartphones as multiple countries institute social media restrictions for under-16s. Parents are in a panic about their kids aspiring to careers as social media celebrities, losing themselves in a vast ecosystem of online casinos, or joining extremist movements. Generative AI, briefly considered an amusing novelty, is now a turbocharged slop engine for the web, filling feeds and comment sections with useless, grotesque content. As humans scroll past headlines about AI taking their jobs, confusing fantasy for reality, and contributing to cognitive decline, any consumer appeal the technology might have is turning to anguish. The data centers that power it have become increasingly unpopular, and politically radioactive.

To be online, many now admit, is to be endlessly manipulated and exploited. In December, Oxford University Press declared rage bait to be the word of the year, noting that use of the term had tripled over the previous 12 months. The lexical spike represented a heightened awareness that monetized social accounts churn out bad-faith takes and extremist content, automating this abusive behavior with generative AI, simply to profit off hostile engagement. Billionaire oligarchs have opened the floodgates to such inauthentic activity, conspiracy-mongering, and hate speech by rolling back moderation. In short, when you hang around online in 2026, you see little worth saving. Perhaps a decade ago, you felt that the glimmers of community and joy, of artistic and intellectual exchange, were enough to balance out the toxic junk. No longer.

Alphabet on Wednesday reported its Q3 results, which included news that its year-over-year search query growth rate is the highest it’s been in the last five years. Some of that growth comes from users adopting “AI Mode” — Google’s latest LLM-powered search system. Google’s revenue from search rose 12 percent year-over-year to $63.25 billion, a little lower than the 14.5 percent growth the company reported in last year’s Q3.

During Alphabet’s earnings call, chief business officer Philipp Schindler said the slowdown was caused by “lower monetization we were seeing in AI Mode.” That’s a worry given that Google is spending enormous sums on infrastructure. $51.4 billion went out the door in Q3, around two thirds of it going towards servers and networking equipment. The rest funded datacenter builds. That spending appears to have impacted profitability, as Alphabet reported $26.17 billion net income for the quarter. Last year’s Q3, during which Google revenue was $102.35 billion, produced $35 billion net income.

Schindler argued that AI search will pay off. “On AI Mode, many of these queries are upper funnel queries, allowing us to capture new, high-value commercial intent,” he told investors. “In addition, the majority of AI Mode queries are incremental, creating more monetization opportunities over time.” Google tried to seize one of those opportunities today, by turning on ads alongside AI Mode searches around the world, after first testing them in the US only. But for now, AI Mode searches aren’t as lucrative as Google’s existing search business, which brought in just under half of Alphabet’s $125.8 billion quarterly revenue.

Bielfeldt became interested in photomicrography during the COVID-19 lockdown after discovering an old microscope in his parents’ attic. He figured out how to build an adaptor out of a tube and some wood to connect the microscope to his father’s camera and taught himself the art through trial and error, building custom tools as needed. He documents how he captures transformative images of everyday objects with behind-the-scenes videos posted to macrofying, his photography and videography brand.

It was Bielfeldt’s curiosity about the inner workings of inkjet printers that inspired his winning entry, but capturing the action of ink drops being deposited on paper was a challenge, given that the process happens so quickly. The droplets, for instance, moved faster than the camera’s shutter speed. Bielfeldt’s solution was to deconstruct the printer so that the paper moved under a stationary (rather than moving) printhead, and then take the image in a dark room, using a flash to serve as the shutter, thereby freezing the ink drops mid-air. There was no need for pricey equipment. Bielfeldt does not use AI in his images, preferring to rely on traditional techniques.

In an email blast to customers titled “Protecting your finances in the Al World,” Bank of America urged customers to never share their username and password with another person or an outside service, "including an Al-enabled tool or agent that offers to act on your behalf.” […] A spokesperson for Bank of America confirmed the authenticity of the bank’s email that was posted to social media. But heed the bank’s warning, for if things go wrong, it’s on you. Account agreements at most banks hold customers responsible for anyone they give their log-in to. “If you do share your credentials,” its email reads, “keep in mind that you’re responsible for activity resulting from that access.”

“I don’t think the coding interview is going to come back,” said Rieseberg. “It’s easy to get sentimental given how many copies of ‘Algorithms and Data Structures’ were bought in hopes of unlocking good jobs and a better future — or how the death of the coding interview is another milestone in software engineering reaching a new level of abstraction.”

At the same time, he’s not certain what will replace it. “I’m probably not the only manager trying to figure out how to interview for people who build well with AI,” Rieseberg wrote. “I haven’t quite gotten there yet — but I’m scanning resumes and portfolios for little prototypes that exhibit taste, empathy, and principled thinking. If you have figured out something better, I’d love to hear how.”

In all, the leak provides a map of how DHS is organized and how it operates. The records, which span DHS itself as well as seven component agencies, including Immigration and Customs Enforcement and US Customs and Border Protection, were last updated on August 19, 2026.

The transparency nonprofit Distributed Denial of Secrets and cybersecurity researcher and journalist maia arson crimew previewed the data to WIRED, which they say they obtained from a group calling itself the Department of Peace. DDoSecrets published the archive, which it calls “Icepick,” on Wednesday. In a press release, DDoSecrets says the data is from DHS’s Okta login system. In a note with the files, the hackers wrote, “They have our information, so it’s only fair that we have theirs.” An Okta spokesperson tells WIRED that it is unaware of any breach of its systems. “We are aware of this report. Okta is secure, and we have no evidence our data or systems were compromised,” the spokesperson says.

The camera speaker ships today for $249.99. Hold up a board game box and Alexa can explain the rules, or show it a box of cereal and it can help you reorder it, according to Amazon. Owners can also check in on the room from the Alexa app while they are away. The Echo Studio without a camera stays on sale at $219.99.

A dedicated button turns off the microphones and any camera, and a visual indicator shows when a camera streams images or video to the cloud, Amazon said. Certain features require Alexa+, which is included with a Prime membership.

Former Yahoo CEO and early Google engineer Marissa Mayer is catching a lot of flak for how she uses AI. In an interview about her new app Dazzle, an AI assistant that learns from your camera roll, Mayer poses what she believes is an impressive flex for the product: It helped her come up with three bullet points about her 10-year-old daughter for a birthday presentation at school, describing her as “empathetic, creative, and an animal lover.”

It’s a vague description, like a generic horoscope — it could probably describe a lot of 10-year-olds. Some onlookers, like progressive activist Leah Greenberg, marveled that “the fact that Marissa Mayer would voluntarily disclose this to a reporter is a pretty good demonstration of how deeply the culture of Silicon Valley has diverged from the rest of humanity.” […] After publication, Mayer defended herself in a long X post. She claims she was not relying on Dazzle to explain her child to her, but rather, she was testing what her prototype could do — it resurfaced photos of “forgotten kindergarten projects,” like a “snake devenomer” or “sandcat playground,” illustrating her daughter’s creativity and care for animals.

Fair enough. But Mayer remarks in the same interview that people could also use her AI to outsource the mental load of “figuring out the theme for your child’s birthday party.” She says she’s used her app to plan a playdate for her daughter, book family activities on vacation, and decide what to be for Halloween. She even proposes that her AI assistant could coordinate plans with her husband’s AI assistant. When the reporter asks her if it’s depressing to imagine this “frictionless future planned by AI,” Mayer replies, “I haven’t really thought that through.”

Amazon wants its engineers to quit chasing token counts, warning that heavy AI usage does not automatically mean better work. In updated engineering guidelines published on October 27, the company laid out how developers and managers should gauge AI’s real impact — and the takeaway is blunt: consuming more tokens is not the same as delivering more value. […]

According to the memo, metrics such as AI adoption rates, token consumption, code changes, and code reviews become “deeply flawed” when they are disconnected from actual results. Turning them into targets, Amazon says, encourages wasteful behavior that clashes with its emphasis on “frugality and simplicity” and can raise both compute bills and software complexity.

The company’s preferred yardstick is long-term results. “We believe that it is best to measure, and be measured by, long-term outcomes,” Amazon wrote. That does not mean managers should ignore usage data altogether, as input metrics remain useful when examined “with care and judgment” alongside other indicators. Amazon suggests looking at both the teams using AI the least and those using it the most to determine whether adoption is translating into better delivery.

[…] The memo also pushes back on the idea that every task needs an AI tool. If current tooling does not benefit someone’s work, Amazon says, that is “a finding, not a failing.” Engineers who can explain where today’s tools fall short are demonstrating judgment rather than reluctance to adopt AI.

The new machine features a light-up Apple logo, tandem OLED, and touch input on the display. It runs on the M5 Pro and M5 Max chips, like the existing MacBook Pro models without OLED touch displays. John Ternus, who is rocking a new profile picture with the new Mac, shared the first look at the new machine on X. Pricing for the new laptop starts at $2899 for the 14-inch model. The 16-inch version starts at $3399.

Programming used to be a very different experience from the one we know today. In fact, the first programmers didn’t write code at all; the six women who worked on the ENIAC, one of the world’s first computers, at the University of Pennsylvania in 1946 did it by physically configuring switches, cables, and plugboards.

A few years later, MIT engineers programmed the Whirlwind by punching code onto paper tape that was then loaded into the computer’s memory — making it among the first “stored-program” machines. Later, they and others moved on to punch cards, one for each line of code.

By the early 1960s, programmers with interactive computers could use a “line editor” to type their code on teletypes — large, noisy keyboard-and-printer machines. They’d type one line of code at a time, and their work would be saved on a spinning hard disk the size of a modern washing machine. But there was still no such thing as the now-familiar full-screen text editors that allow programmers to see and modify many lines at a time on a display.

One of the first such tools, EMACS, turns 50 this year, and it is still widely used. EMACS first ran on the early video terminals at the MIT Artificial Intelligence Laboratory in 1976, but its core concepts were so powerful that it was rewritten for many operating systems in the decades that followed. Apple even distributed it with Mac OS X. Beyond that, the software-sharing community that started around EMACS helped give rise to the modern-day free software movement and the GNU/Linux operating system.