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Tech & AI
Seattle economic study finds strong tech assets, a risky concentration, and a tax that ‘penalizes’ hiring

An independent study commissioned by the City of Seattle says the city’s tax structure is unique among its peers in the way it “specifically penalizes the hiring of senior, high-compensation workers,” with that penalty falling overwhelmingly on large tech employers.
Overall, Seattle’s business taxes are actually in line with competing cities, write researchers from the economic consulting firm Formation in the new report. But Seattle’s taxes are “particularly distortionary when it comes to hiring high-wage employees,” they add.
Mayor Katie Wilson helped design the tax, known as JumpStart, before taking office. But even the strongest supporters of new local and state taxes would concede that Seattle is “reaching the limits of how much it can tax the industries and people that it is depending upon to drive its growth,” the researchers write.
Another risk for the city is the resulting concentration of the tax base. Three-quarters of the payroll tax on large employers comes from 10 companies. Nine of them are in tech-related sectors.
A big company shifting 10,000 workers out of Seattle would cost the city about $50 million a year in payroll tax revenue, the researchers say in an accompanying slide deck, without naming Amazon explicitly. That’s more than a quarter of the $175 million deficit the city projects for next year.
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In that way, much of the city’s financial future depends “on the marginal location and compensation decisions of a handful of employers,” the report says. Because much of the taxed compensation is vesting stock, it adds, the city’s revenue is exposed to “the single most volatile attribute of these firms — one the city has no ability to forecast or influence.”
Reducing that dependence through growth is the bigger point of the report.
The 127-page assessment, called “Seawall: Building a Resilient Seattle Economy,” goes well beyond the topic of taxes. The title refers to Seattle’s rebuilt waterfront seawall, engineered to hold back the water and also let marine life take hold. The researchers offer this as a model for protecting the city’s economic base while building a more diverse economy on top of it.
A decade of growth lifted wages at every level of the income spectrum, the report finds. Few other U.S. regions spread prosperity as broadly. But the same growth made Seattle far more expensive, especially for families.
Fast-forward to today, and the report sees an economy that’s dangerously concentrated, “significantly more AI-exposed than the national average,” short of the electricity it will need, and no longer producing mid-sized companies.
In danger, not in decline: The report is also careful to point out the city’s unique position and strengths. Seattle’s tech workforce is “almost peerless,” it says: 23% of the nation’s AI engineers are based in the region, and output per tech worker is more than double the national average.
The region also has the rare combination of a big tech industry and a strong manufacturing base.
Seattle “may not be in decline, but it is in danger,” the researchers write — “not because it is losing its place in the industry, but because the industry could undergo a radical change, and arguably already is.”
The concern that Seattle is becoming “the next Cleveland,” raised in a GeekWire column in February by Seattle tech veteran and angel investor Charles Fitzgerald, is “likely hyperbolic,” the researchers write. (They acknowledge that it “caused quite the stir this past winter.”)
The report points instead to Portland and Los Angeles as the more relevant warnings, citing Portland’s pileup of new business taxes and Los Angeles’ failure to turn a deep talent pool into jobs.
Fitzgerald responded Wednesday evening on his blog, Platformonomics, writing that the city “has finally acknowledged there is such a thing as an economy.” His main objection was who wasn’t in the room: “No businesses were involved, but that seems to be the norm hereabouts on economic matters.”
The report’s acknowledgments list dozens of interviewees, including the Seattle Metropolitan Chamber of Commerce, the Washington Roundtable and the Tech Alliance. No large tech employer is among them.
Ryan Donahue, a co-founder and managing partner at Formation, said in an email that the researchers interviewed many business representatives but no large companies directly, saying he expected a predictable message from their government affairs teams.
The person who led the report’s tax and cost analysis previously ran Amazon HQ2 recruitment at the Virginia Economic Development Partnership, the agency that landed the project for Arlington, Va., Donahue said, providing insights into how firms like Amazon weigh those decisions.
A path forward: The report recommends that the city focus on five industries: artificial intelligence, cleantech, maritime, life sciences and space. Cleantech is the priority, the report says, because Seattle owns or regulates much of what the sector needs, from Seattle City Light to building codes, permitting and land use.
The Seattle Office of Economic Development commissioned the report from Formation in 2025, under then-Mayor Bruce Harrell, to examine the drivers of the city’s business climate.
Harrell’s successor, Mayor Wilson, released the report Wednesday afternoon alongside an executive order convening a task force of business, labor, community and civic leaders, directing the city to improve permitting pathways, and calling for a proposal to create a Seattle Strategic Initiatives Fund.
In releasing the report, Wilson’s office said the findings “are independent and are not City policy.” But speaking on KUOW-FM’s Soundside as the report was released, the mayor called it “fantastic,” describing it as “super nuanced,” and urging listeners to take the time to read it.
The cost of a hire: JumpStart, the payroll expense tax, applies to large employers based on the compensation they pay to high-earning workers in Seattle. Approved by the City Council in 2020 and in effect since 2021, it was created to fund affordable housing, small-business support and climate programs, but the city has increasingly used it for general government operations.
Wilson helped create the tax before running for mayor, saying on her campaign website that she “played an instrumental role in designing and passing” the payroll tax.
Under JumpStart, hiring a software engineer at $650,000 in total compensation costs about $17,000 a year more in Seattle than in Bellevue, the report says. For an employee earning more than $1 million, the difference exceeds $33,000. San Francisco imposes no per-employee tax at all, and New York City’s equivalent is less than $6,000, according to the researchers.
That $17,000 reflects the tax’s top rate, which this year applies only to employers with about $1.3 billion or more in Seattle payroll. Two or three companies at most are in that tier, the report says. At the city’s lowest rate for that pay level, the same engineer would cost about $11,800, according to Seattle’s published rates.
The rate rises with an employee’s pay, and a company that crosses one of the city’s payroll thresholds pays the higher rate on every qualifying worker, not just the next hire.
“No other comparison city has a tax with both of these features,” the report says.
An issue of perception: Business leaders interviewed for the study described JumpStart as a problem “not primarily for its cost but because the process of enacting it communicated that the city’s governing orientation is fundamentally extractive.”
The researchers add: “Whether or not that characterization is fair, it is the operating perception, and perception shapes location decisions.”
But the researchers stop short of recommending a change. Taxes have “modest effects on firm location and expansion decisions,” they write, and Seattle is unlikely to lose its biggest employers to other regions, because the alternatives are either more expensive or have weaker talent.
“The Eastside is the only real threat in that regard,” the report says.
The study is blunt about what is at stake in keeping those employers. “If they leave,” it says, “Seattle won’t become more equal, it will just become poorer.”
What to do about taxes? The report does not recommend raising or lowering that top rate. Research on how firms respond to local taxes draws on thousands of firms across dozens of jurisdictions, it says, and “cannot tell us how any one firm will respond to any one tax change.”
With two or three firms in the top tier and “one firm by far the most dominant,” the question “is fundamentally a question about how that single firm will react.” It adds, “That is not a question this report, or the literature it draws on, is equipped to answer.”
GeekWire has contacted Amazon for comment on the report.
Other tax options that have been floated — vacancy taxes, wealth taxes, head taxes beyond JumpStart, expanded gross receipts schemes — are “either disallowed under state law or would, if enacted, likely push out the firms and workers Seattle most needs to retain,” the report says.
And once the state’s new 9.9% tax on income above $1 million takes effect in 2028, Seattle earners above that level will face a combined state and local marginal rate of about 10.5%. Pushing meaningfully above that, the report says, “would be a high-stakes tax experiment.”

Where Wilson stands: The mayor has already conceded the Bellevue point. “I don’t think it’s good that it is less expensive to do business in Bellevue than in Seattle,” she said in May. “We’re going to be taking that into consideration.”
She defended the tax in June, crediting it with helping Seattle recover from the pandemic and cautioning against blaming downtown’s problems on any single cause.
Her relationship with the tech community has been rockier. At a Seattle University event in April, asked about that state tax, Wilson said concerns about wealthy residents leaving were “super overblown” — then waved and said, “the ones that leave, like, bye.” The moment drew national coverage and criticism from Seattle investors.
A bet on cleantech: Taking a step back, the report says Seattle’s best opportunity is in cleantech, a category it defines broadly to include clean energy generation, energy efficiency and sustainable production methods and materials.
The shift is already showing up in local venture funding. Cleantech and energy companies took 3% of the venture capital raised by Seattle-area private companies from 2016 to 2020, and 20% from 2021 to 2025, according to Crunchbase data cited in the report. Three companies — TerraPower, Helion and Group14 — account for 70% of that.
The city “should be most concerned about AI but most active in cleantech,” the report says.
AI will ultimately be more important to Seattle’s future, the researchers explain, but the city has almost no ability to shape it. Cleantech is different: Seattle owns the electric utility, writes the building codes and controls permitting and much of the land.
The city can also use its own purchasing power to create a market for what these companies build, the report says, pointing to a New York program that used public housing demand to bring a new cold-climate heat pump into production.
To reach the top tier of cleantech ecosystems, the report says, Seattle would need a dedicated entity putting at least $5 million a year into growing the sector, funded through ratepayer charges, philanthropy, corporate sponsorship and competitive federal grants.
What’s next: According to the city, Wilson’s executive order calls for the task force to convene industry roundtables in the coming months. The report’s own first-year list runs to ten items, including a business-led commission on the city’s fiscal exposure, with an emphasis on AI, and structured visits with 50 companies across the five industries it identifies.
Others include naming a senior staffer in the mayor’s office to run the city’s AI agenda, and a childcare cost-sharing pilot split three ways between employee, employer and city, with the city’s share paid out of JumpStart.
On taxes, the report’s primary recommendation looks beyond City Hall. It urges Wilson to build a cross-partisan coalition of mayors and county executives to press Olympia for new municipal revenue tools, including changes to the state’s 1% cap on property tax growth.
A caller on KUOW asked Wilson whether there’s a limit to how much Seattle should grow. She said she shares the concern, then pointed back to the report, which she said makes clear there is “no graceful path” for Seattle to cool down its growth.
“We can’t go back to the ’90s,” she said.
Tech & AI
Japan’s Keio confirms ransomware attack disrupted business systems
Keio Corporation (Keio), a major private railway operator in Japan, said its network was hit by a ransomware attack over the weekend, disrupting some of its business systems.
Following a system failure in the early hours of Saturday, the company confirmed the attack and shut down its network to prevent additional damage.
The company said it is investigating the extent of the impact and whether the attackers accessed any customer or business partner information.
Keio is a large Japanese railway operator with 85 km of track and 69 stations, as well as a separate hospitality business of 25 hotels. The company has over 2,200 employees and a reported annual revenue of about $2.6 billion.
“In the early hours of September 26, 2026, we confirmed a ransomware attack on our group’s servers. We have reported the incident to the police and are conducting an investigation into the attack’s route and damage with the cooperation of external experts,” Keio says.
The incident appears to have affected only the hospitality side of Keio’s business, not train operations.
A separate announcement published on the company’s Keio Plaza Hotel Tokyo website is warning of possible delays on some customer-facing services.
Local media outlets have reported that the cyberattack disrupted the firm’s payment systems.
At the time of writing, BleepingComputer could not find a ransomware group claiming the attack on Keio.
BleepingComputer has contacted the company to request more information about the incident, and we will update this post with their response once it reaches us.
Tokyo Metro has also disclosed a cyber incident over the weekend in which attackers gained unauthorized access to its systems and accessed 59,000 member email addresses.
Although both Keio and Tokyo Metro are Japanese railway operators, it is unclear if the organizations were targeted in a coordinated campaign by the same threat actor.
Tokyo Metro is a major transit operator that runs nine subway lines covering 195 km and 180 stations, carrying an average of 7 million passengers daily.
The company said the breached systems contained only email addresses and that it has already identified and closed the security weakness the attackers used in this case.
Tech & AI
Microsoft may have just pushed Copilot into a completely different phase of its AI ambitions
- Home puts chats, delegated work, and Office documents inside one interface
- Code lets non-programmers describe software and have Copilot build it
- Autopilot can continue recurring work without waiting for another instruction
Microsoft has introduced a redesigned version of its Copilot AI platform which claims to combine chat, delegated work, and coding tools into a unified application experience for users.
The company says the update is meant to let individuals and organizations scale artificial intelligence across everyday tasks and long-term projects.
Three new capabilities anchor this release, including Home, Code and Autopilot, each aimed at a different kind of work.
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Home brings Chat and Cowork together
The Home tool brings together two existing modes, Chat for quick questions and Cowork for tasks users delegate entirely, under one shared starting point.
Word, Excel, and PowerPoint now operate inside this same interface, letting users draft documents, budgets, and presentations without switching applications.
In these documents, Copilot is now grounded in Fabric IQ, pulling context from more than 20 million semantic models built in Power BI.
Edits made by colleagues or by the assistant itself appear in real time, so progress stays synchronized across a shared file.
A new plugin registry will let organizations manage Microsoft, partner and custom-built plugins from one central catalog starting this month.
Independent developers and partners can also publish plugins once for use across multiple Copilot surfaces under the new registry arrangement.
The Code tool allows non-programmers to describe an app, tracker or dashboard in plain language and have it built automatically.
This feature runs on the same underlying technology used in GitHub Copilot and can be hosted within a company’s own systems.
Autopilot operates without constant prompting
Autopilot, the third addition, is a persistent agent capable of completing recurring work without needing a new instruction each time.
It can run supplier reviews or similar multi-step processes, build schedules, contact stakeholders, and follow up on outstanding items independently.
Because it operates continuously in the cloud, work can continue late at night or whenever a person’s attention shifts elsewhere.
A related feature called Today, entering private preview in October, will summarize missed messages and pending tasks across mail and chat.
Microsoft is also tying spending controls to these tools through a system it calls FinOps for AI, letting administrators track usage.
Administrators can set spending limits, approve credit requests and restrict which AI models different teams are permitted to use each month.
Everyday tasks like quick answers or first drafts run on a fixed-price subscription, while agentic features use usage-based billing.
Code, Cowork and Autopilot all fall under this usage-based pricing model, alongside frontier models Microsoft refers to as Astra and Fable.
Home and Code are set to roll out through Microsoft’s Frontier program within weeks, and Autopilot enters private preview by month’s end.
Microsoft has not released independent data showing how widely the three features are being adopted, how accurate they are, or how much time they actually save.
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Tech & AI
How To Get Started With Shortcuts On Your MacBook
Automate your Mac with ease using Shortcuts and Apple Intelligence.
Shortcuts has been available on Mac since macOS Monterey, but it’s one of those utilities many Mac users have never explored. At first, it can seem too complicated. You have to know which actions to choose and how to connect them, then hope it all works.
But macOS 27 Golden Gate changes that with Describe a Shortcut, which lets you type exactly what you need and have Shortcuts do the heavy work for you with AI. It doesn’t always work, but it makes the app much easier to use — especially if you’re not an expert.
If you’re not familiar with Shortcuts, it’s an automation tool where you create scripts to handle tasks on your devices. Apple’s own example is a shortcut that texts your spouse with an estimated arrival time based on traffic when you’re leaving work. But you can get much more complex, like a shortcut that checks your calendar and the weather to give you a summary of what to expect today.
There are many possibilities, and now with macOS 27, it’s much easier to master the app.
Creating shortcuts on your Mac is easy
Creating a new shortcut takes a few seconds. Open the Shortcuts app on your Mac and click the Plus button to enter a prompt. The more details you provide, the more likely the app is to get your shortcut right. A command like “Clean up my Downloads” might be too vague for the app to understand what you really want. Instead, try something like “Every Friday, move anything in my Downloads folder older than 30 days into a folder called Archive.” You’re more likely to end up with a working shortcut when you provide clear details.
This is a good example of how Shortcuts are helpful for tasks you often forget to do; no one really cleans out their Downloads folder unless they’re trying to free up space. Plus, you can check the result right away by opening the folder and looking at what moved. If the shortcut moved too much, re-enter the prompt with even more specific details.
A shortcut can also be great for summarizing long text with Apple Intelligence. Try something like “Take the text on my clipboard, summarize it in three sentences and save it to a new note.” Then copy a long article or an email, run the shortcut and you’ll have the short version in Notes.
Make your shortcuts easier to reach
If a shortcut isn’t part of your normal routine, chances are you’ll forget about it after a while. Thankfully, you can assign a keyboard combo to a shortcut, or pin it to the menu bar, so you’ll never forget it.
Choose the shortcut you want to adjust and click Edit. Go to the Shortcut Details menu (the one with the information icon) and select Add Keyboard Shortcut. To add it to the Control Center or menu bar, open Control Center on your Mac (at the top-right) and select Edit Controls. There, all you have to do is add the action from the Shortcuts app, and you’re all set. Exploring the Automation tab is also a good idea for creating a seamless workflow of shortcuts that run on their own when you need them.
Shortcuts isn’t the only element in macOS 27 that acts on your behalf. Visual Intelligence has its own key combo: Shift + Command + Space. After pressing this, select a window on-screen and have Siri answer questions about it or take action, like adding an event to your calendar. Try it on an email with a date buried in it, for example. Siri can also run your shortcuts via voice, speaking of which.
Shortcuts and Siri AI require Apple Intelligence, which means you need a Mac with an M1 chip or later — Intel Mac users are out of luck. Also, some limits may apply when using Apple’s AI models in Shortcuts. More complex prompts could reach a limit faster.
Tech & AI
Peak XV ups Surge seed investment ceiling to $5M, unveils 18-startup cohort
Peak XV Partners, one of the largest venture capital firms investing in markets including India and Southeast Asia with more than $10 billion in assets under management, has increased how much it invests per startup through Surge, its seed-stage investing platform, as it unveils a new cohort of 18 companies.
At least three of the companies in this cohort had already raised outside funding, in some cases from Peak XV itself, before joining Surge.
The new batch, called Surge 12, is the first to operate under Peak XV’s higher investment ceiling of up to $5 million per company, up from $3 million previously. The venture firm invested more than $50 million across the cohort, which has collectively raised over $90 million in seed funding, according to Peak XV. Its median investment per company has also increased, though the firm declined to disclose the figure.
“The bar to raise a Series A has gone up pretty significantly,” Rajan Anandan (pictured above), managing director at Peak XV, said in an interview. He added that the firm is also seeing more capital-intensive companies, particularly in deeptech, that are raising larger rounds at the seed stage.
Surge has become more global with each cohort, Anandan told TechCrunch, with its latest group spanning founders and companies from San Francisco to Sydney. Just five of the 18 startups in Surge 12 are focused on the Indian market, while more than half of the companies are based in India. The remaining 13 target global markets, highlighting the difference between where the companies are built and where they expect to find customers.
Since its launch in 2019, when Peak XV operated as Sequoia Capital India and Southeast Asia, Surge has backed more than 180 startups founded by entrepreneurs representing more than 18 nationalities. Peak XV says the 10 largest companies to emerge from those cohorts now generate more than $1 billion in combined annual revenue.

Anandan described Surge as one way Peak XV invests at the seed stage, alongside its standard seed investing, while the firm still remains an investor as companies progress through later funding rounds. The founders it backs typically include repeat entrepreneurs, experienced operators, and highly specialized technical founders, he said, with about 50% to 60% of a typical cohort made up of people coming from operating roles at established technology companies.
This cohort’s startups span AI, robotics, space, consumer products, healthcare, music, and fintech, ranging from AI safety and personal computing to autonomous robots built for underground pipes and satellites designed to detect radio-frequency signals from orbit.
The Surge 12 cohort
Alma — founded by Nischith Shadagopan M N and Vinod Ganesan — is building a personal computing platform focused on making computer use faster and more affordable. Its founders previously worked at Microsoft Research and were founding engineers at Sarvam AI, a Bengaluru-based startup building AI models for Indian languages.
August AI — founded by Anuruddh Mishra, an IIT-BHU alumnus who started the company in 2022 after a personal medical misdiagnosis — provides a healthcare platform that combines AI with physician-led care, reaching over 9 million users across 160 countries.
Ditto — founded by UC Berkeley dropouts Allen Wang and Eric Liu — works as an AI dating matchmaker inside iMessage, aimed at helping college students turn digital introductions into in-person connections. (TechCrunch wrote more about this one last month.) The company had already raised $9.2 million in a Peak XV-led seed round announced earlier this year.
GameStock — founded by Antoine Mistico, Easton Dana, and Vivek Indlebele Narasimha Prasad — brings competition mechanics to financial markets, turning investing and trading into a more competitive experience. Mistico is a two-time founder and former professional baseball player.
HiLoop — founded by Jad Ghalayini, Karan Brar, and Thomas Boser — helps AI companies adapt general-purpose open-weight models for specific applications using its post-training platform. Its founding team includes former Reducto engineers and a Cambridge computer science PhD who completed his doctorate at 24.
Hoola Health — founded by Deeksha Senguttuva — focuses on care for children and their families, providing consultations, vaccinations, medicines, diagnostics, developmental therapy, and dental services on a single platform. Senguttuvan grew up around healthcare, as her family built and operated a hospital group.
Kello — founded by Mona Gandhi and Subramanya Jingade — is building an AI-powered talent-discovery platform focused on identifying a candidate’s potential and trajectory rather than relying primarily on conventional credentials. Gandhi says she was Airbnb’s first female engineer and she previously founded Upraised, while Jingade previously co-founded AmbitionBox.
Kindling — founded by Adam Miller and Sachin Shah — is building what it calls a “storytelling operating system” for technology startups, using AI to help companies develop and produce their communications and content.
Puralink — founded by Harrison Crowe-Maxwell, Shyeon Delnawaz, and Thien “Long” Tran — is developing autonomous robots that can navigate underground pipe networks. Crowe-Maxwell has been building robots since childhood and turned university research into the patented drive technology behind the startup.
Reinforce Labs — founded by Anish Das Sarma — is developing tools to evaluate, red-team, and remediate enterprise AI systems. Sarma previously founded a company acquired by Airbnb and later served as a director at Google, where he led AI and machine-learning teams.
Riffle — founded by Anurag Choudhary and deo — is building a browser-based platform where musicians can create, collaborate on, and share music, reducing the need to move between separate tools during the creative process.
Rosella — founded by Chris Dwyer and Sean Stuart — is building an AI-native commercial insurance brokerage for U.S. businesses, using AI to automate parts of the traditionally manual process of finding and placing business insurance. Rosella raised a roughly $2.5 million pre-seed round led by Peak XV and Intact Private Capital earlier this year.
Tribe Money — founded by Himanshu Arora and Nikhil Shanker — gives an AI-powered personal finance platform that helps users track their money, research investments and make investing decisions.
ULOOK — founded by Adheesh Boratkar and Siddhesh Ravindra Naik — is building autonomous satellite systems for radio-frequency sensing and spectrum intelligence, targeting customers globally. Its founders have worked on more than 12 satellite missions. The company had already raised roughly $2.3 million in seed funding from growX Ventures and InfoEdge Ventures before joining Surge.
Wingit — founded by Nikunj Kothari and Saksham Khandelwal — is building a beauty platform aimed at India’s growing premium-consumer market. It is focused on how consumers discover and shop for higher-end beauty products.
Three other startups in the cohort have yet to publicly reveal their names or products. Peak XV said they are working in education, applied AI, and medical products.
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Tech & AI
The Metric Is Not The Mission: When The Maps Became The Territory
The Metric Is Not the Mission is a ten-part examination of how Big Tech moved from building and expanding the open internet to increasingly shaping it around its own metrics, incentives and assumptions. Across the series, the argument follows the evolution of the platform economy—from the optimism of the early internet to the growing tensions around power, prediction, geopolitics, accountability and the future of digital life.
The series will be published in two parts each week over five weeks, with each installment building on the one before it. At the end of the series, the complete essay will be brought together in a single PDF edition, providing the full argument in one place.

Part III: When the Maps Became the Territory
In Part II, the story turned on a crucial distinction: measuring behavior is not the same as understanding people. Part III takes that idea further, examining what happens when the platforms’ representations of the world begin to substitute for the world itself.
There is a curious tendency among successful technologies to disappear. Not physically, of course, but cognitively. Once they become sufficiently embedded in everyday life, they cease to be experienced as technologies at all. Electricity is no longer a marvel of engineering but an expectation. We do not admire the plumbing each time we turn on a tap, nor do we reflect on the extraordinary complexity of global logistics every time fresh fruit appears on supermarket shelves in the middle of winter. The greatest infrastructures become invisible because they succeed so completely that we mistake them for part of the natural order.
The internet reached that point sometime during the second decade of the twenty-first century. Yet something else happened along the way that proved far more consequential. As the network itself faded into the background, the platforms through which most people experienced it moved decisively into the foreground. Increasingly, users no longer spoke about “going online.” They spoke about opening an app.
That linguistic shift deserves more attention than it usually receives. Language often reveals structural change before statistics do. To “browse the web” implied movement across an open landscape whose boundaries were undefined. One followed links, discovered obscure websites, stumbled upon ideas that had not been recommended by anyone, and occasionally became gloriously lost. The experience resembled wandering through an unfamiliar city with no particular destination in mind. Serendipity was not a flaw in the architecture; it was one of its defining virtues.
Applications altered that relationship almost without anyone noticing. They replaced geography with destination. Instead of entering a network whose possibilities remained unknown, we entered environments that had already been organized on our behalf. The internet did not disappear, but it became increasingly hidden beneath layers of interface, recommendation and curation. Like passengers traveling through an airport without ever seeing the city beyond the terminal, we continued moving through digital space while encountering only the carefully managed environments that had been prepared for us.
This transformation is often described as an inevitable consequence of convenience. While accurate in its own right, this explanation offers an incomplete narrative. Convenience was certainly the language through which the platforms justified many of their design choices. Friction was treated as the great enemy of the digital age. Every additional click became an obstacle to be eliminated. Every decision that users might otherwise make for themselves could instead be anticipated by software. Recommendation replaced search. Autoplay replaced choice. Infinite scrolling replaced endings. The future, we were told, belonged to experiences so seamless that they would feel almost effortless. And they did.
It is difficult to criticize convenience because convenience is genuinely valuable. Few people wish to return to an internet in which finding information required memorizing obscure web addresses or navigating labyrinthine directories. The platforms did not succeed by forcing people into inferior experiences. They succeeded because, for many years, they built better ones.
Yet convenience has always carried an intellectual cost. Every technology that removes friction also removes moments of deliberation. The elevator spares us the staircase but also the awareness of distance. Satellite navigation ensures that we rarely become lost, while quietly diminishing our ability to construct mental maps of the places through which we travel. Streaming services relieve us of searching for entertainment, but in doing so they also shape the boundaries of what we are likely to discover. Every act of technological simplification transfers a small measure of agency from the individual to the system.
The internet had originally been built on a different assumption. Its underlying protocols did remarkably little. They did not decide which website deserved prominence, which ideas should travel furthest, or which communities ought to flourish. Their genius lay precisely in their restraint. They created conditions under which others could innovate without first requesting permission. The web itself functioned less like a product than like a constitutional order: a simple framework within which extraordinary diversity could emerge.
Platforms gradually adopted the opposite philosophy. They did not merely provide the rules of the game; increasingly, they became active participants in every interaction taking place within it. They selected what deserved attention, inferred what users might prefer before users themselves knew it, prioritized certain relationships over others and determined, through millions of microscopic computational decisions, the contours of everyday experience. The architecture became less constitutional than managerial.
There is an illuminating parallel here with the history of cities. The most enduring cities are rarely the ones that have been planned in every detail. They are those that accumulated layer upon layer of human activity over centuries, adapting continuously to changing needs without ever fully surrendering their unpredictability. One finds unexpected bookshops beside cafés, workshops hidden behind apartment blocks, public squares appropriated for demonstrations one week and festivals the next. Their vitality emerges not from perfect organization but from the freedom they grant people to appropriate space in ways that planners never anticipated.
Shopping malls operate according to an altogether different logic. They are meticulously designed environments in which every entrance, corridor, sightline, and seating area has been carefully considered. Music, lighting, and architecture work together to produce an experience that feels spontaneous while being anything but. There is comfort in their orderliness. They are clean, efficient, and reassuringly predictable. Yet no one mistakes a shopping mall for a city. Its purpose is not to cultivate civic life but to optimize a particular set of behaviors within a privately governed space.
The analogy is imperfect, as all analogies are, but it captures something essential about the transformation of the internet. The early web invited participation because it remained fundamentally unfinished. It assumed that users would contribute to shaping it. Today’s dominant platforms present themselves as complete worlds. Participation still exists, but it takes place within boundaries established elsewhere. Users generate the content while the architecture remains firmly in corporate hands.
Perhaps this is why the language of “community” has begun to feel strangely hollow. Communities, in the classical sense, are rarely designed. They emerge through shared experience, mutual obligation, and a degree of unpredictability that no algorithm can fully reproduce. Platforms, by contrast, increasingly treat community as an engineering problem to be optimized. They recommend friendships, suggest conversations, rank relevance, suppress friction, and amplify interaction according to models whose objectives are necessarily commercial because the organizations that develop them are commercial enterprises.
None of this should be understood as an accusation of bad faith. Many of the engineers responsible for these systems genuinely believed they were improving people’s lives. The difficulty lies elsewhere. Every large institution eventually begins to confuse the optimization of its own internal metrics with the fulfillment of its original purpose. Universities sometimes mistake publication counts for scholarship. Hospitals occasionally confuse efficiency with care. Governments become preoccupied with administrative process rather than public service. Technology companies are no different. The indicators that make sense within an organization slowly become proxies for the world outside it. The metric is not the mission. This is the point at which the maps begin to replace the territory.
The extraordinary quantities of behavioral data collected by digital platforms produce an understandable confidence. When one can observe billions of interactions each day, it becomes tempting to believe that society itself has become legible. Human behavior appears measurable, predictable and, increasingly, governable. The platform begins to resemble reality because so much of reality passes through the platform.
Yet the map is never the territory. It captures what can be measured, not everything that matters. A map records roads but not the reasons people travel. It identifies cities without conveying the lives unfolding within them. Likewise, recommendation systems observe behavior with astonishing precision while remaining largely indifferent to experience itself. They recognize patterns without necessarily understanding meaning.
That distinction mattered little while the platforms continued solving the problems that had made them indispensable. It becomes far more consequential once they begin confronting a world that no longer resembles the one for which they were originally designed. Because societies have changed; politics has changed; and, the internet has changed. The question is whether the companies that grew powerful by interpreting one era have noticed that another has already begun.
Konstantinos Komaitis, PhD, is a veteran of developing and analysing Internet policy to ensure an open and global Internet.
Filed Under: behavior, big tech, metric not mission, open internet, optimization, platforms, understanding
Tech & AI
Boox Announces the Picco, Its Smallest E-Reader Ever (2026)
While smartphones won’t stop getting bigger, e-readers seem to be getting smaller. Boox has been at the forefront with one of the most popular small e-readers, the Boox Palma, and now it is adding an even smaller model.
Boox announced the Picco, with preorders opening today. Its screen is just under 4 inches (3.97 to be exact), making it about the size of a playing card. It’s even smaller than the Xteink X4 Pro I tested earlier this year, which has a 4.3-inch screen (but just slightly larger than the 3.7-inch Xteink X3), and considerably smaller than the upcoming Boox Palma 3’s 6.19-inch screen. I liked the size of the Xteink in my hand, but navigating the interface and getting books were challenging, so I’m excited to see another option in that smaller size from a maker with more accessible ebooks (though still not as convenient as a Kindle or Kobo with their built-in stores).
The Picco will cost $100 and is expected to ship in November. I’ll be testing it soon, but in the meantime, here are the details if you’ve been eyeing a tiny e-reader.
An E-Reader for Productivity
Courtesy of Boox
The Boox Picco has a monochrome screen with a resolution of 235 pixels per inch and an adjustable front light that switches between warm- and cool-toned lighting. The microSD card slot supports up to 2 TB of flash memory storage (a 16 GB card is included). There are both a touchscreen and physical page-turning controls, thanks to the buttons on the side of the device. The case has a magnetic ring so you can attach it to the back of a smartphone, though I’ll have to see how well it fits when I test it, as I had mixed results attaching an Xteink to my phone due to both fit and magnet strength.
Courtesy of Boox
Boox says the Picco will have a streamlined operating system focused on reading and digital utility tools. It’s also the first in what Boox calls its Tiles lineup, which is how you’ll access ebooks on this device. You can also use web and USB-C file transfers (the Picco has Wi-Fi and Bluetooth connectivity) to get ebooks onto the Picco. The Picco also has the Pomodoro, Todo, and Countdown apps, so you can use it as both an e-reader and a productivity gadget—handy, and a bigger motivation to keep it attached to the back of your phone even when you aren’t reading.
I’m intrigued to see it in action. Boox’s most popular e-reader could become the Picco over the Palma 3, but we’ll have to wait for both devices to become available to see which is the better buy. Stay tuned for my reviews of both when they come out.
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Tech & AI
Discord Is Testing A Lightweight Mode To Free Up Resources While Gaming
But a Chromium-based design means it can only be so efficient.
Discord is working on a new mode for its social platform that it says might be less resource-intensive. Screenshots of an option called Game Mode began circulating on social media over the weekend. The description shown for the Game Mode toggle states that it will “Reduce Discord’s CPU and GPU usage while a game is running.” By making the chat platform less resource-intensive, concurrently running software should be able to run more smoothly.
Today, the company confirmed on X that this experimental mode will begin rolling out to its users next week. The brief official announcement about Game Mode added that Discord is “aiming to add more resource-saving features over time.”
Discord is based on the Electron web app framework, which uses Javascript and Chromium for creating software. The open-source Chromium, which is the basis for Google’s Chrome and several other browsers, is not known as the most efficient tool for web development. A feature like Game Mode could offer some performance improvements, especially while also running a beefy AAA game on the same machine, but there may only be so far that Discord will be able to streamline on its current architecture.
Tech & AI
Meta-Led Anti-Terrorism Group Faces Mass Resignation of Expert Advisers
Six of the nine independent experts on the advisory board of the Global Internet Forum to Counter Terrorism—a consortium run by several of the biggest US tech companies—resigned on Monday, according to a letter seen by WIRED and interviews with three of the people.
The tensions between the independent advisory committee and the GIFCT date back to an email the counterterrorism and free speech experts received in July from Meta’s Nell McCarthy, a vice president overseeing content policy. For years, the group had advised the GIFCT on how to prevent platforms from becoming havens for the radical organizations and individuals blamed for some of the world’s worst mass violence.
But McCarthy wrote that while the consortium welcomed the experts’ insights on violent trends, it no longer desired their scrutiny on the effectiveness of Big Tech’s efforts to curtail violence. Meta and other leaders wanted to “refresh” the 6-year-old independent advisory committee the experts sat on, she wrote. Meta currently serves as chair of GIFCT’s operating board, giving it outsized influence over policy changes, though other companies on the panel must ultimately approve.
New additions to the rotating advisory committee had previously been elected by current members; under the plan laid out in July, they would instead be picked by tech companies. The committee would be barred from weighing in on key topics such as the consortium’s performance and making recommendations together as a group. Its role as a watchdog would be neutered, advisers believed.
In their resignation letter, the departing members of the committee wrote that their appeals against the plan had been “ignored” and that, in turn, they had “lost confidence in the GIFCT’s ability to deliver effectively on its founding mission” to prevent terrorists from exploiting online services. “We all know that a body that cannot scrutinise, take a position, or evaluate is not an advisory body at all,” the letter stated. “It is decoration and accountability theatre.”
Meta deferred comment on the resignations to the GIFCT. An unsigned statement sent to WIRED by a GIFCT spokesperson on behalf of the consortium’s leadership and the Meta-chaired operating board says the proposed changes have been “informed by several rounds of feedback” and are not yet final. They came out of discussions on “how to more effectively engage civil society and governments for substantive input” as “multi-stakeholderism is a core principle” for the GIFCT.
The consortium has about 35 members; other long-time board members include Microsoft and YouTube. A small staff alerts members to violent content, helps them exchange threat intelligence, and commissions research on countering extremism. While the coordination has helped some platforms combat problematic content, critics believe the group isn’t living up to its potential.
A WIRED investigation in 2024 uncovered several issues with GIFCT, including Meta delaying TikTok’s membership bid and poor relations between the companies at the helm and the unpaid independent advisory body. It also revealed failures in the tip-sharing database the consortium oversees to coordinate takedowns of problematic content.
The dismantling of the advisory group threatens to deteriorate the organization’s work further at a time when balancing free expression and online safety has become more challenging. Generative AI tools have simplified content creation but imposed limited guardrails.
Extremist content, including some that is now AI-generated, that promotes organizations such as Islamic State remains a persistent issue. Newer nihilistic collectives have turned to AI-supported scams such as sexploitation to coerce young victims into carrying out violence and abuse. Several AI chatbots have been accused of facilitating violence.
“A Shame”
The experts who resigned include university researchers and representatives of civil society organizations. They had agreed with McCarthy on the need for changes to improve the results of the decade-old anti-terrorism consortium. But they believe the proposal, which could be finalized soon, amounts to a step backward.
“There won’t be critical voices raising concerns about what GIFCT is doing or is not doing,” one of the departing experts says. “It may seem politically convenient for them to abolish the independent advisory committee, but they are going to regret it in the longer term.”
Tech & AI
SpaceX’s Latest Starship Mission Reached Low-Earth Orbit
The successful mission also deployed 26 of SpaceX’s latest Starlink satellites.
For its 14th flight, SpaceX’s Starship powered by its Super Heavy megarocket has entered low-Earth orbit for the first time. SpaceX kicked off this major undertaking early Monday morning but had to deal with some hiccups on the way, including losing one of its six Raptor engines. Ultimately, SpaceX decided to push on with the mission and successfully reached orbit albeit with some compromise.
SpaceX originally planned to have Starship orbit Earth six times over a span of nearly 10 hours for the Flight 14 mission. With one of the engines offline, the plan changed to only spend approximately three hours in orbit before reentering the Earth’s atmosphere and landing in the Pacific Ocean. As part of the same mission, SpaceX managed to deploy 26 of its Starlink V3 satellites into orbit. SpaceX said that its Starlink team has made contact with all newly-deployed 26 satellites in orbit, which will eventually be used to improve Internet speeds for customers. While previous Starship missions also carried several V3 satellites, they only remained in suborbital space and served as test flights to see if the new satellites would connect to the existing Starlink constellation.
While Starship’s flight 14 marked a major milestone of reaching orbit, the mission also served as a test of the reusability of its Super Heavy rocket. After providing the necessary boost to Starship, Super Heavy landed in the Gulf of Mexico, where it will eventually be retrieved, but not by a launch tower‘s “chopsticks” as previously demonstrated.
Tech & AI
Jet Megatextures Demo For ESP32-S3
Mipmapping is a good way to add a lot more detail to a 3D scene without overburdening the rendering hardware with detail that won’t be seen by the user. This level-of-detail rendering technique was demonstrated on the N64 console hardware a few years ago by [James Lambert] with [Michael Biggins], also known as [PhonicUK], now demonstrating it on the ESP32-S3 using his own Jet rendering engine.
Although level-of-detail rendering really speeds things up, it does also require far larger texture sizes, with [James]’s N64 demo taking up 40 MB of a 64 MB cartridge. To fit it on an ESP32-S3 with 16 MB of PSRAM and no SD card expansion or such the textures were further compressed to use 8-bit indexing, resulting in a mere 5.01 MB of textures.
There’s a demonstration video over on the associated Reddit thread, which shows the camera moving through the scene. Even if not as exciting as the Wipeout port by [Michael] that we previously covered, it does make clear that even without a proper 3D GPU the ESP32-S3 is already a pretty capable gaming machine that can go toe-to-toe with some 1990s consoles.
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