Global fertility rates have fallen from five children per woman in the mid-twentieth century to 2.2 today, with approximately half of countries now below the 2.1 replacement threshold, according to data from the Institute for Health Metrics and Evaluation at the University of Washington. Mexico's rate dropped from seven children in 1970 to 1.6 in 2023. South Korea recorded 0.75 in 2024, down from 4.5 in 1970. The IHME projects over three-quarters of countries will fall below replacement level by 2050. A UN survey of 14,000 people across 14 countries found 39% cited financial limitations as a primary reason for not having children. China's population peaked around 2022 at 1.4 billion, while the U.S. Census Bureau predicts America's population will peak in 2080 at 370 million.

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Bill Gates is funding a $1 million competition to spur the use of AI to find innovative treatments for Alzheimer's disease, the latest effort to deploy the promising technology to find cures for humanity's toughest illnesses. From a report: The Alzheimer's Insights AI prize will be awarded to the team that comes up with the most original way to program AI-powered agents that are "capable of independent planning, reasoning, and action to accelerate breakthrough discoveries from existing Alzheimer's data." Â The winning tool will be released for free on the Alzheimer's Disease Data Initiative's cloud "workbench" to be used by scientists globally, the organisation said on Tuesday. The prize is being financed by Gates Ventures, the family office of the billionaire philanthropist and Microsoft co-founder.

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The GenAI Divide: State of AI in Business 2025, a new report published by MIT's NANDA initiative, reveals that while generative AI holds promise for enterprises, most initiatives to drive rapid revenue growth are falling flat. Fortune: Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L. The research -- based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments -- paints a clear divide between success stories and stalled projects. To unpack these findings, I spoke with Aditya Challapally, the lead author of the report, and a research contributor to project NANDA at MIT. "Some large companies' pilots and younger startups are really excelling with generative AI," Challapally said. Startups led by 19- or 20-year-olds, for example, "have seen revenues jump from zero to $20 million in a year," he said. "It's because they pick one pain point, execute well, and partner smartly with companies who use their tools," he added. But for 95% of companies in the dataset, generative AI implementation is falling short. The core issue? Not the quality of the AI models, but the "learning gap" for both tools and organizations. While executives often blame regulation or model performance, MIT's research points to flawed enterprise integration. Generic tools like ChatGPT excel for individuals because of their flexibility, but they stall in enterprise use since they don't learn from or adapt to workflows, Challapally explained.

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Epic Games CEO Tim Sweeney told the Financial Times that the UK Competition and Markets Authority's December decision to delay mandating alternative app stores on iPhones was a "blunder" that leaves Britain "well behind" other jurisdictions. The CMA postponed until next year whether to require Apple to allow third-party app stores or sideloading, unlike the EU's Digital Markets Act. Fortnite remains unavailable on UK iOS devices following Epic's years-long dispute over Apple's 30% commission fees. The regulator said it would prioritize forcing Apple and Google to allow alternative payment systems.

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The U.S. Federal Trade Commission sued ticket reseller Key Investment Group for evading purchasing limits to buy up thousands of tickets to live events including Taylor Swift's Eras tour and resell them at a markup, according to a complaint filed in Maryland federal court on Monday. From a report: The Baltimore, Maryland-based company, which operates ticket resale sites including TotalTickets.com, used thousands of Ticketmaster accounts, including fake or purchased accounts, the FTC said. Ticketmaster faced intense criticism after its botched 2022 sale of tickets to Swift's much-hyped Eras tour, when billions of requests from Swift fans, bots and ticket resellers overwhelmed its website and the company canceled a planned ticket sale to the general public. For one Swift concert in Las Vegas in March 2023, Key Investment Group and its affiliates used 49 different accounts to purchase 273 tickets and evade a 6-ticket purchase limit, netting more than $119,000 in revenue on resales, the FTC said on Monday. The company made more than $1.2 million reselling 2,280 Swift concert tickets it purchased in 2023, the agency said.

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In theory, HTTP status codes should be easy to work with. In the 100s? You're doing some weird stuff and breaking up large requests into multiple sub-requests. 200s? It's all good. 300s? Look over there. 400s? What the hell are you trying to do? 500s? What the hell is the server trying to do?

This doesn't mean people don't endlessly find ways to make it hard. LinkedIn, for example, apparently likes to send 999s if you try and view a page without being logged in. Shopify has invented a few. Apache has added a 218 "This is Fine". And then there's WebDAV, which not only adds new status codes, but adds a whole bunch of new verbs to HTTP requests.

Francesco D sends us a "clever" attempt at handling status codes.

try { HttpRequest.Builder localVarRequestBuilder = {{operationId}}RequestBuilder({{#allParams}}{{paramName}}{{^-last}}, {{/-last}}{{/allParams}}{{#hasParams}}, {{/hasParams}}headers); return memberVarHttpClient.sendAsync( localVarRequestBuilder.build(), HttpResponse.BodyHandlers.ofString()).thenComposeAsync(localVarResponse -> { if (localVarResponse.statusCode()/ 100 != 2) { return CompletableFuture.failedFuture(getApiException("{{operationId}}", localVarResponse)); } {{#returnType}} try { String responseBody = localVarResponse.body(); return CompletableFuture.completedFuture( responseBody == null || responseBody.isBlank() ? null : memberVarObjectMapper.readValue(responseBody, new TypeReference<{{{returnType}}}>() {}) ); } catch (IOException e) { return CompletableFuture.failedFuture(new ApiException(e)); } {{/returnType}} {{^returnType}} return CompletableFuture.completedFuture(null); {{/returnType}} }); }

Okay, before we get to the status code nonsense, I first have to whine about this templating language. I'm generally of the mind that generated code is a sign of bad abstractions, especially if we're talking about using a text templating engine, like this. I'm fine with hygienic macros, and even C++'s templating system for code generation, because they exist within the language. But fine, that's just my "ok boomer" opinion, so let's get into the real meat of it, which is this line:

localVarResponse.statusCode()/ 100 != 2

"Hey," some developer said, "since success is in the 200 range, I'll just divide by 100, and check if it's a 2, helpfully truncating the details." Which is fine and good, except neither 100s nor 300s represent a true error, especially because if the local client is doing caching, a 304 tells us that we can used the cached version.

For Francesco, treating 300s as an error created a slew of failed requests which shouldn't have failed. It wasn't too difficult to detect- they were at least logging the entire response- but it was frustrating, if only because it seems like someone was more interested in being clever with math than actually writing good software.

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The UK government has agreed to withdraw its order requiring Apple to create backdoor access to encrypted iCloud data following intervention from the Trump administration. Vice President JD Vance negotiated the agreement during his recent UK holiday after the January order issued under the UK Investigatory Powers Act prompted Apple to pull its iCloud Advanced Data Protection service from Britain in February. Director of National Intelligence Tulsi Gabbard said the UK agreed to drop demands for access to "the protected encrypted data of American citizens." Apple had filed a complaint with the Investigatory Powers Tribunal scheduled for hearing early next year.

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OpenAI has launched ChatGPT Go, a $4.57 monthly subscription tier initially available only in India. The service provides, compared to the free tier, extended access to GPT-5, image generation, file uploads, advanced data analysis, longer conversation memory, and custom GPTs at Rs 399 per month. ChatGPT Go excludes features found in the $20 ChatGPT Plus tier including legacy models like 4o, Sora video generation, deep research, agent mode, and connectors. OpenAI said "other countries and regions may be eligible in the future" for ChatGPT Go. India has emerged as a key market for American technology firms looking for users. In the past 15 years, firms like Amazon, Google, and Meta, alongside venture capitalists and private equity, have poured more than $200 billion into the country, all chasing its vast pool of users and the businesses serving this population. India is the second largest market for OpenAI, startup's chief executive Sam Altman said in a podcast recently. Perplexity partnered with Indian telecoms giant Bharti Airtel last month to provide its premium Pro service to 360 million customers for free for an entire year.

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Intel and SoftBank announced on Monday that the Japanese conglomerate will make a $2 billion investment the embattled chipmaker. SoftBank will pay $23 per share for Intel's common stock. The investment is a vote of confidence in Intel, which has not been able to take advantage of the AI boom in advanced semiconductors and has spent heavily to stand up a manufacturing business that has yet to secure a significant customer. "Masa and I have worked closely together for decades, and I appreciate the confidence he has placed in Intel with this investment," Intel CEO Lip-Bu Tan said in a statement. Intel shares lost 60% of their value last year, their worst performance in the company's more than half-century on the public market.

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Hollywood comedy production has declined 27% since 1990 despite audience demand ranking the genre second among those viewers "want to see more of," according to Letterboxd genre data and a 68,000-consumer survey. Comedy films average $26.5 million production budgets and double their investment returns at 102%, yet represent just 9.3% of sequel releases compared to action's 27.6%. The shift reflects studios prioritizing internationally marketable franchises over domestically-focused comedies, which earn most revenue from US and Canadian audiences. Films like 1984's Beverly Hills Cop ($977 million inflation-adjusted) and Ghostbusters ($882 million) remain unmatched by contemporary releases -- with half of Letterboxd's most popular 2020s "comedies" being either non-comedic films like Saltburn or IP-driven movies like Barbie.

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Fujifilm will increase prices on most of its US camera lineup starting August 30, marking the second price adjustment this month following retailer-announced increases two weeks earlier. The company cited "volatile market conditions" in its official statement. The recently released X half and X-E5 cameras will maintain their launch prices, while the backordered X100 VI faces price changes. The company characterized the adjustments as a long-term solution to uncertainties including tariffs and manufacturing circumstances.

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England has declared a "nationally significant" water shortage as reservoirs dropped to 67.7% capacity, their lowest levels in at least a decade. The UK Centre for Ecology and Hydrology warned of exceptionally low river flows while groundwater continues dwindling across the country. Hosepipe bans now affect all of England, with additional restrictions probable in coming months. Water companies lose approximately one trillion litres annually through leaky pipes -- 20% of all treated water -- while the annual pipe replacement rate remains at 0.05%. No new reservoir has been built in 30 years despite population growth. Government forecasts project England's public water supply could fall short by 5 billion litres daily by 2055 without urgent infrastructure investment. The economic cost of water scarcity could reach $11.48 billion over this parliament, according to thinktank Public First.

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Traditional business applications will become the mainframes of the 2030s - functioning but obsolete systems replaced by AI agents, predicts Microsoft corporate vice president Charles Lamanna. AI agents featuring generative AI interfaces, goal-oriented processing, and vector databases will supplant today's form-driven, workflow-based enterprise software within five years, said Lamanna, who leads Microsoft's business applications and platforms division. The executive projects industry patterns for agent-based systems will solidify within 6-18 months. Microsoft MVP Rocky Lhotka called the 2030 timeline "very forward-looking and optimistic," noting that capital-intensive industries cannot readily replace existing infrastructure with virtual agents.

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Trading volume on AI prediction markets reached approximately $20 million this month across platforms including Kalshi and Polymarket. Kalshi reports ten times the AI trading volume compared to early 2025. Bettors place wagers on outcomes including monthly AI model rankings, federal AI regulation prospects, and Sam Altman's potential OpenAI equity stake.

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Prospect magazine, in a recent piece: "LinkedIn doesn't know me anymore," someone complained to me recently. "What do you mean?" I asked. She explained that the platform has replaced the old "recommended jobs" section, which used to show her quite useful job openings based on her previous searches and CV, with an AI search engine that asks you to describe your ideal job in freeform text. The results it brings up aren't nearly as relevant. This is just one of many ways in which the professionals' social media platform, which has embraced artificial intelligence with ferocious zeal, is being gradually "enshittified," to borrow tech writer Cory Doctorow's phrase. Each new embrace of AI tools promises to make hiring, job searching, networking and even posting a bit easier or more fruitful. Instead, AI seems to have made the user's experience more alienating, and to have helped foster a genre of LinkedIn-speak which bears all the hallmarks of the worst AI writing on the internet. Let's start with my opening example -- which, to be fair, is in beta testing mode and can be switched off. Instead of the AI assistant being like an intuitive digital servant, pulling up the best jobs based on your ruminations, users are confronted with a new and annoying task: crafting prompts for the AI. But the non-AI search bar worked perfectly well as it was. Then there is the AI writing assistant, which is available to users who pay for the platform's $40 per month premium service to help them craft their posts. LinkedIn's CEO Ryan Roslansky recently admitted that users aren't using the tool as much as he anticipated. It seems that sounding like a human being to your colleagues and clients is put at, well, a premium. And then there are the ways in which users are deploying outputs from external AI chatbots on the platform, something with which LinkedIn is struggling to cope. According to the New York Times, the number of job applications submitted via the platform increased by 45 per cent in the year to June, now clocking in at an average of 11,000 per minute.

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Dust is that "feature" or drawback, The Verge's reviewer Allison Johnson argues. Samsung's head of smartphone planning Minseok Kang told her earlier this year that creating dustproof foldable phones remains technically challenging but "not impossible." Current flagship foldables from Samsung and Motorola carry IP48 ratings that protect against particles larger than one millimeter, while traditional smartphones at similar price points offer full IP68 dust and water resistance. The durability gap persists five years after Samsung's original Galaxy Fold experienced screen failures from small particles entering the hinge mechanism.

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Wikipedia volunteer Grnrchst uncovered a decade-long campaign that created articles about composer David Woodard in 335 languages. The investigation identified 200 accounts and IP addresses systematically creating Woodard articles across 92 languages between 2017 and 2019, averaging one new article every six days. From December 2021 through June 2025, 183 unique accounts each created a single Woodard article in different languages after establishing credibility through unrelated edits. Wikipedia stewards removed 235 articles from smaller wikis. Larger Wikipedia communities banned numerous accounts and deleted 80 additional articles. Twenty Woodard articles remain. Grnrchst called it "the single largest self-promotion operation in Wikipedia's history."

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"The U.S. is currently home to more than 18 million cancer survivors," reports the Wall Street Journal, "over 5% of the total population" (including those who are living with the disease). Their article tells the story of Gwen Orilio, who was diagnosed with stage-four lung cancer at age 31. Ten years later she's still alive — and she still has metastatic cancer... Keeping her going is a string of new treatments that don't cure the disease but can buy months — even years — of time, with the hope that once one drug stops working a new one will come along. Orilio started on chemotherapy, and then switched to a new treatment, and then another, and another, and another... A small but growing population is living longer with incurable or advanced cancer, navigating the rest of their lives with a disease increasingly akin to a chronic illness. The trend, which started in breast cancer, has expanded to patients with melanoma, kidney cancer, lung cancer and others. The new drugs can add years to a life, even for some diagnoses like Orilio's that were once swift death sentences. They also put people in a state of limbo, living on a knife's edge waiting for the next scan to say a drug has stopped working and doctors need to find a new one. The wide range of survival times has made it more difficult for cancer doctors to predict how much time a patient might have left. For most, the options eventually run out.... More than 690,000 people were projected to be living with stage-four or metastatic disease of the six most common cancers — melanoma, breast, bladder, colorectal, prostate or lung cancer — in 2025, according to a 2022 report from the National Cancer Institute. That's an increase from 623,000 in 2018 and a significant rise since 1990, the report found... Nearly 30% of survivors diagnosed with metastatic melanoma and 20% of those diagnosed with metastatic colorectal or breast cancer had been living with their disease for a decade or more, the NCI paper estimated... Even for lung cancer, the biggest U.S. cancer killer, the five-year relative survival rate for advanced disease has inched up, from 3.7% for patients diagnosed in 2004 to 9.2% for patients diagnosed in 2017, federal data show. The overall lung cancer survival rate has risen by 26% in the past five years, according to the American Lung Association, as declining cigarette use, screening and new drugs have driven down deaths. The expanding number of therapies that target a cancer's mutations or boost the immune system are improving the outlook for several cancers. In breast cancer, treatment for metastatic disease accounted for 29% of the drop in deaths between 1975 and 2019, according to one 2024 estimate, with screening and treatment for early-stage disease accounting for the rest. The number of American cancer survivors (or those living with cancer) is expected to grow to 26 million by 2040," the article points out.

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The women-only dating-advice app Tea "has been hit with 10 potential class action lawsuits in federal and state court," NBC News reported last week, "after a data breach led to the leak of thousands of selfies, ID photos and private conversations online." The suits could result in Tea having to pay tens of millions of dollars in damages to the plaintiffs, which could be catastrophic for the company, an expert told NBC News... One of the suits lists the right-wing online discussion board 4chan and the social platform X as defendants, alleging that they allowed bad actors to spread users' personal information. But meanwhile, a new competing app for men called "TeaOnHer" has already been launched. And it was also found to have enormous security flaws, reports TechCrunch, that "exposed its users' personal information, including photos of their driver's licenses and other government-issued identity documents..." [W]hen we looked at the TeaOnHer's public internet records, it had no meaningful information other than a single subdomain, appserver.teaonher.com. When we opened this page in our browser, what loaded was the landing page for TeaOnHer's API (for the curious, we uploaded a copy here)... It was on this landing page that we found the exposed email address and plaintext password (which wasn't that far off from "password") for [TeaOnHer developer Xavier] Lampkin's account to access the TeaOnHer "admin panel"... This API landing page included an endpoint called /docs, which contained the API's auto-generated documentation (powered by a product called Swagger UI) that contained the full list of commands that can be performed on the API [including administrator commands to return user data]... While it's not uncommon for developers to publish their API documentation, the problem here was that some API requests could be made without any authentication — no passwords or credentials were needed... The records returned from TeaOnHer's server contained users' unique identifiers within the app (essentially a string of random letters and numbers), their public profile screen name, and self-reported age and location, along with their private email address. The records also included web address links containing photos of the users' driver's licenses and corresponding selfies. Worse, these photos of driver's licenses, government-issued IDs, and selfies were stored in an Amazon-hosted S3 cloud server set as publicly accessible to anyone with their web addresses. This public setting lets anyone with a link to someone's identity documents open the files from anywhere with no restrictions... The bugs were so easy to find that it would be sheer luck if nobody malicious found them before we did. We asked, but Lampkin would not say if he has the technical ability, such as logs, to determine if anyone had used (or misused) the API at any time to gain access to users' verification documents, such as by scraping web addresses from the API. In the days since our report to Lampkin, the API landing page has been taken down, along with its documentation page, and it now displays only the state of the server that the TeaOnHer API is running on as "healthy." The flaws were discovered while TeaOnHer was the #2 free app in the Apple App Store, the article points out. And while these flaws "appear to be resolved," the article notes a larger issue. "Shoddy coding and security flaws highlight the ongoing privacy risks inherent in requiring users to submit sensitive information to use apps and websites," And TeaOnHer also had another authentication issue. A female reporter at Cosmopolitan also noted Friday that TeaOnHer "lets you browse through profiles before your verifications are complete. So literally anyone (like myself) can read reviews..."

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For months, everything at Yusuf's company was fine. Then, suddenly, he comes in to the office to learn that overnight the log exploded with thousands of panic messages. No software changes had been pushed, no major configurations had happened- just a reboot. What had gone wrong?

This particular function was invoked as part of the application startup:

func (a *App) setupDocDBClient(ctx context.Context) error { docdbClient, err := docdb.NewClient( ctx, a.config.MongoConfig.URI, a.config.MongoConfig.Database, a.config.MongoConfig.EnableTLS, ) if err != nil { return nil } a.DocDBClient = docdbClient return nil }

This is Go, which passes errors as part of the return. You can see an example where docdb.NewClient returns a client and an err object. At one point in the history of this function, it did the same thing- if connecting to the database failed, it returned an error.

But a few months earlier, an engineer changed it to swallow the error- if an error occurred, it would return nil.

As an organization, they did code reviews. Multiple people looked at this and signed off- or, more likely, multiple people clicked a button to say they'd looked at it, but hadn't.

Most of the time, there weren't any connection issues. But sometimes there were. One reboot had a flaky moment with connecting, and the error was ignored. Later on in execution, downstream modules started failing, which eventually lead to a log full of panic level messages.

The change was part of a commit tagged merely: "Refactoring". Something got factored, good and hard, all right.

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