Dan's co-workers like passing around TDWTF stories, mostly because seeing code worse than what they're writing makes them feel less bad about how often they end up hacking things together.

One day, a co-worker told Dan: "Hey, I think I found something for that website with the bad code stories!"

Dan's heart sank. He didn't really want to shame any of his co-workers. Fortunately, the source-control history put the blame squarely on someone who didn't work there any more, so he felt better about submitting it.

This is another ASP .Net page, and this one made heavy use of GridView elements. GridView controls applied the logic of UI controls to generating a table. They had a page which contained six of these controls, defined like this:

<asp:GridView ID="gvTaskMonth1" runat="server" CssClass="leadsGridView" AutoGenerateColumns="False" OnRowDataBound="gvTaskMonth1_RowDataBound"> ... </asp:GridView> <asp:GridView ID="gvTaskMonth2" runat="server" CssClass="leadsGridView" AutoGenerateColumns="False" OnRowDataBound="gvTaskMonth1_RowDataBound"> ... </asp:GridView> <asp:GridView ID="gvTaskMonth3" runat="server" CssClass="leadsGridView" AutoGenerateColumns="False" OnRowDataBound="gvTaskMonth1_RowDataBound"> ... </asp:GridView>

The purpose of this screen was to display a roadmap of coming tasks, broken up by how many months in the future they were. The first thing that leaps out to me is that they all use the same event handler for binding data to the table, which isn't in-and-of-itself a problem, but the naming of it is certainly a recipe for confusion.

Now, to bind these controls to the data, there needed to be some code in the code-behind of this view which handled that. That's where the WTF lurks:

/// <summary> /// Create a roadmap for the selected client /// </summary> private void CreateRoadmap() { for (int i = 1; i < 7; i++) { switch (i) { case 1: if (gvTaskMonth1.Rows.Count > 0) { InsertTasks(gvTaskMonth1, DateTime.Parse(txtDatePeriod1.Text), "1"); } break; case 2: if (gvTaskMonth2.Rows.Count > 0) { InsertTasks(gvTaskMonth2, DateTime.Parse(txtDatePeriod2.Text), "2"); } break; case 3: if (gvTaskMonth3.Rows.Count > 0) { InsertTasks(gvTaskMonth3, DateTime.Parse(txtDatePeriod3.Text), "3"); } break; case 4: if (gvTaskMonth4.Rows.Count > 0) { InsertTasks(gvTaskMonth4, DateTime.Parse(txtDatePeriod4.Text), "4"); } break; case 5: if (gvTaskMonth5.Rows.Count > 0) { InsertTasks(gvTaskMonth5, DateTime.Parse(txtDatePeriod5.Text), "5"); } break; case 6: if (gvTaskMonth6.Rows.Count > 0) { InsertTasks(gvTaskMonth6, DateTime.Parse(txtDatePeriod6.Text), "6"); } break; } } }

Ah, the good old fashioned loop-switch sequence anti-pattern. I understand the motivation: "I want to do the same thing for six different controls, so I should use a loop to not repeat myself," but then couldn't quite figure out how to do that, so they just repeated themselves, but inside of a loop.

The "fix" was to replace all of this with something more compact:

private void CreateRoadmap() { InsertTasks(gvTaskMonth1, DateTime.Parse(txtDatePeriod1.Text), "1"); InsertTasks(gvTaskMonth2, DateTime.Parse(txtDatePeriod2.Text), "2"); InsertTasks(gvTaskMonth3, DateTime.Parse(txtDatePeriod3.Text), "3"); InsertTasks(gvTaskMonth4, DateTime.Parse(txtDatePeriod4.Text), "4"); InsertTasks(gvTaskMonth5, DateTime.Parse(txtDatePeriod5.Text), "5"); InsertTasks(gvTaskMonth6, DateTime.Parse(txtDatePeriod6.Text), "6"); }

That said, I'd recommend not trying to parse date times inside of a text box inside of this method, but that's just me. Bubbling up the inevitable FormatException that this will generate is going to be a giant nuisance. It's likely that they've got a validator somewhere, so it's probably fine- I just don't like it.

.comment { border: none; } [Advertisement] Keep the plebs out of prod. Restrict NuGet feed privileges with ProGet. Learn more.

An anonymous reader quotes a report from The Register: Australian SaaS-y graphic design service Canva now requires candidates for developer jobs to use AI coding assistants during the interview process. [...] Canva's hiring process previously included an interview focused on computer science fundamentals, during which it required candidates to write code using only their actual human brains. The company now expects candidates for frontend, backend, and machine learning engineering roles to demonstrate skill with tools like Copilot, Cursor, and Claude during technical interviews, Canva head of platforms Simon Newton wrote in a Tuesday blog post. His rationale for the change is that nearly half of Canva's frontend and backend engineers use AI coding assistants daily, that it's now expected behavior, and that the tools are "essential for staying productive and competitive in modern software development." Yet Canva's old interview process "asked candidates to solve coding problems without the very tools they'd use on the job," Newton admitted. "This dismissal of AI tools during the interview process meant we weren't truly evaluating how candidates would perform in their actual role," he added. Candidates were already starting to use AI assistants during interview tasks -- and sometimes used subterfuge to hide it. "Rather than fighting this reality and trying to police AI usage, we made the decision to embrace transparency and work with this new reality," Newton wrote. "This approach gives us a clearer signal about how they'll actually perform when they join our team." The initial reaction among engineers "was worry that we were simply replacing rigorous computer science fundamentals with what one engineer called 'vibe-coding sessions,'" Newton said. The company addressed these concerns with a recruitment process that sees candidates expected to use their preferred AI tools, to solve what Newton described as "the kind of challenges that require genuine engineering judgment even with AI assistance." Newton added: "These problems can't be solved with a single prompt; they require iterative thinking, requirement clarification, and good decision-making."

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A coordinated spam operation has infiltrated abandoned subdomains belonging to major institutions including Nvidia, Stanford University, NPR, and the U.S. government's vaccines.gov site, flooding them with AI-generated content that subsequently appears in search results and Google's AI Overview feature. The scheme, reports 404 Media, posted over 62,000 articles on Nvidia's events.nsv.nvidia.com subdomain before the company took it offline within two hours of being contacted by reporters. The spam articles, which included explicit gaming content and local business recommendations, used identical layouts and a fake byline called "Ashley" across all compromised sites. Each targeted domain operates under different names -- "AceNet Hub" on Stanford's site, "Form Generation Hub" on NPR, and "Seymore Insights" on vaccines.gov -- but all redirect traffic to a marketing spam page. The operation exploits search engines' trust in institutional domains, with Google's AI Overview already serving the fabricated content as factual information to users searching for local businesses.

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The abstract of a study featured on NBER: We examine the labor market effects of AI chatbots using two large-scale adoption surveys (late 2023 and 2024) covering 11 exposed occupations (25,000 workers, 7,000 workplaces), linked to matched employer-employee data in Denmark. AI chatbots are now widespread -- most employers encourage their use, many deploy in-house models, and training initiatives are common. These firm-led investments boost adoption, narrow demographic gaps in take-up, enhance workplace utility, and create new job tasks. Yet, despite substantial investments, economic impacts remain minimal. Using difference-in-differences and employer policies as quasi-experimental variation, we estimate precise zeros: AI chatbots have had no significant impact on earnings or recorded hours in any occupation, with confidence intervals ruling out effects larger than 1%. Modest productivity gains (average time savings of 3%), combined with weak wage pass-through, help explain these limited labor market effects. Our findings challenge narratives of imminent labor market transformation due to Generative AI.

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A dating site launched last week by Belgian artist Dries Depoorter matches potential partners based on their internet browsing histories rather than curated profiles or photos. Browser Dating requires users to download a Chrome or Firefox extension that exports and uploads their recent search data, creating matches based on shared online behaviors and interests rather than traditional dating app metrics. Less than 1,000 users have signed up since the platform's launch, paying a one-time fee of $10.3 for unlimited matches or using a free tier limited to five connections. Depoorter, known for digital art projects exploring surveillance and technology, says the concept emerged from a 2016 workshop where participants shared a year of search history data. The platform processes browsing data locally using Google's Firebase tools.

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Amazon Web Services has signed a long-term deal with Talen Energy to receive up to 1,920 megawatts of carbon-free electricity from the Susquehanna nuclear plant through 2042 to support AWS's AI and cloud operations. The partnership also includes plans to explore new Small Modular Reactors and expand nuclear capacity amid rising U.S. energy demand. Utility Drive reports: Under the PPA, Talen's existing 300-MW co-location arrangement with AWS will shift to a "front of the meter" framework that doesn't require Federal Energy Regulatory Commission approval, according to Houston-based Talen. The company expects the transition will occur next spring after transmission upgrades are finished. FERC in November rejected an amended interconnection service agreement that would have facilitated expanded power sales to a co-located AWS data center at the Susquehanna plant. The agency is considering potential rules for co-located loads in PJM. Talen expects to earn about $18 billion in revenue over the life of the contract at its full quantity, according to an investor presentation. The contract, which runs through 2042, calls for delivering 840 MW to 1,200 MW in 2029 and 1,680 MW to 1,920 MW in 2032. Talen will act as the retail power supplier to AWS, and PPL Electric Utilities will be responsible for transmission and delivery, the company said. Amazon on Monday said it plans to spend about $20 billion building data centers in Pennsylvania. "We are making the largest private sector investment in state history -- $20 billion-- to bring 1,250 high-skilled jobs and economic benefits to the state, while also collaborating with Talen Energy to help power our infrastructure with carbon-free energy," Kevin Miller, AWS vice president of global data centers, said.

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BrianFagioli shares a report from NERDS.xyz: Apple has released a new developer tool on GitHub called Container, offering a fresh approach to running Linux containers directly on macOS. Unlike Docker or Podman, this tool is designed to feel at home in the Apple ecosystem and hooks into frameworks already built into the operating system. Container runs standard OCI images, but it doesn't use a single shared Linux VM. Instead, it creates a small Linux virtual machine for every container you spin up. That sounds heavy at first, but the VMs are lightweight and boot quickly. Each one is isolated, which Apple claims improves both security and privacy. Developers can run containerized workloads locally with native macOS support and without needing to install third-party container platforms.

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Since filing for bankruptcy in March, 23andMe has received data deletion requests from 1.9 million users -- around 15% of its customer base. That number was revealed by 23andMe's interim chief executive Joseph Selsavage during a House Oversight Committee hearing, during which lawmakers scrutinized the company's sale following an earlier bankruptcy auction. "The bankruptcy sparked concerns that the data of millions of Americans who used 23andMe could end up in the hands of an unscrupulous buyer, prompting customers to ask the company to delete their data," adds TechCrunch. From the report: Pharmaceutical giant Regeneron won the court-approved auction in May, offering $256 million for 23andMe and its banks of customers' DNA and genetic data. Regeneron said it would use the 23andMe data to aid the discovery of new drugs, and committed to maintain 23andMe's privacy practices. Truly deleting your personal genetic information from the DNA testing company is easier said than done. But if you were a 23andMe customer and are interested, MIT Technology Review outlines that steps you can take.

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An anonymous reader quotes a report from Polygon: Nintendo Switch 2 is off to a roaring start. Early on Wednesday, Nintendo announced that it had sold 3.5 million units of its new console in just four days, making it Nintendo's fastest-selling console ever. In fact, this is likely the biggest console launch of all time -- by quite some margin. For comparison, PlayStation 5 shipped 4.5 million units in its first seven weeks, PlayStation 4 sold 2.1 million in a little over two weeks, and Nintendo Switch sold 2.74 million in its first month. [...] Nintendo has predicted it will sell 15 million Switch 2s during its current financial year. It's well on the way to that figure already, although Nintendo still faces the challenges of maintaining stock availability and extending this expensive console's reach past the first wave of early adopters. If Switch 2 hits its first-year target, it will join Nintendo's other fasters sellers over the first year on sale: Game Boy Advance, Nintendo 3DS, and the original Switch. Over the weekend, the Switch 2 beat the record for the "most-sold console within 24 hours and is on track to shatter the two-month record," according to TweakTown.

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Amazon has launched its AI-powered Video Generator tool in the U.S., allowing sellers to quickly create photorealistic, motion-enhanced video ads often with a single click. "We'll likely see Amazon retailers utilizing AI-generated video ads in the wild now that the tool is generally available in the U.S. and costs nothing to use -- unless the ads are so convincing that we don't notice anything at all," says The Verge. From the report: New capabilities include motion improvements to show items in action, which Amazon says is best for showcasing products like toys, tools, and worn accessories. For example, Video Generator can now create clips that show someone wearing a watch on their wrist and checking the time, instead of simply displaying the watch on a table. The tool generates six different videos to choose from, and allows brands to add their logos to the finished results. The Video Generator can now also make ads with multiple connected scenes that include humans, pets, text overlays, and background music. The editing timeline shown in Amazon's announcement video suggests the ads max out at 21 seconds.. The resulting ads edge closer to the traditional commercials we're used to seeing while watching TV or online content, compared to raw clips generated by video AI tools like OpenAI's Sora or Adobe Firefly. A new video summarization feature can create condensed video ads from existing footage, such as demos, tutorials, and social media content. Amazon says Video Generator will automatically identify and extract key clips to generate new videos formatted for ad campaigns. A one-click image-to-video feature is also available that creates shorter GIF-style clips to show products in action.

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Hong Kong authorities have invoked national security laws for the first time to ban the Taiwan-made video game Reversed Front: Bonfire, accusing it of promoting "secessionist agendas, such as 'Taiwan independence' and 'Hong Kong independence.'" Engadget reports: Reversed Front: Bonfire was developed by a group known as ESC Taiwan, who are outspoken critics of the China's Communist Party. The game disappeared from the Apple App Store in Hong Kong less than 24 hours after authorities issued the warning. Google already removed the game from the Play Store back in May, because players were using hate speech as part of their usernames. ESC Taiwan told The New York Times that that the game's removal shows that apps like theirs are subject to censorship in mainland China. The group also thanked authorities for the free publicity on Facebook, as the game experienced a surge in Google searches. The game uses anime-style illustrations and allows players to fight against China's Communist Party by taking on the role of "propagandists, patrons, spies or guerrillas" from Hong Kong, Taiwan, Tibet, Mongolia and Xinjiang, which is home to ethnic minorities like the Uyghur. That said, they can also choose to play as government soldiers. In its warning, Hong Kong Police said that anybody who shares or recommends the game on the internet may be committing several offenses, including "incitement to secession, "incitement to subversion" and "offenses in connection with seditious intention." Anybody who has downloaded the game will be considered in "possession of a publication that has a seditious intention," and anybody who provides financial assistance to it will be violating national security laws, as well. "Those who have downloaded the application should uninstall it immediately and must not attempt to defy the law," the authorities wrote.

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An anonymous reader quotes a report from Ars Technica: The robot built by [Yuntao Ma and his team at ETH Zurich] was called ANYmal and resembled a miniature giraffe that plays badminton by holding a racket in its teeth. It was a quadruped platform developed by ANYbotics, an ETH Zurich spinoff company that mainly builds robots for the oil and gas industries. "It was an industry-grade robot," Ma said. The robot had elastic actuators in its legs, weighed roughly 50 kilograms, and was half a meter wide and under a meter long. On top of the robot, Ma's team fitted an arm with several degrees of freedom produced by another ETH Zurich spinoff called Duatic. This is what would hold and swing a badminton racket. Shuttlecock tracking and sensing the environment were done with a stereoscopic camera. "We've been working to integrate the hardware for five years," Ma said. Along with the hardware, his team was also working on the robot's brain. State-of-the-art robots usually use model-based control optimization, a time-consuming, sophisticated approach that relies on a mathematical model of the robot's dynamics and environment. "In recent years, though, the approach based on reinforcement learning algorithms became more popular," Ma told Ars. "Instead of building advanced models, we simulated the robot in a simulated world and let it learn to move on its own." In ANYmal's case, this simulated world was a badminton court where its digital alter ego was chasing after shuttlecocks with a racket. The training was divided into repeatable units, each of which required that the robot predict the shuttlecock's trajectory and hit it with a racket six times in a row. During this training, like a true sportsman, the robot also got to know its physical limits and to work around them. The idea behind training the control algorithms was to develop visuo-motor skills similar to human badminton players. The robot was supposed to move around the court, anticipating where the shuttlecock might go next and position its whole body, using all available degrees of freedom, for a swing that would mean a good return. This is why balancing perception and movement played such an important role. The training procedure included a perception model based on real camera data, which taught the robot to keep the shuttlecock in its field of view while accounting for the noise and resulting object-tracking errors. Once the training was done, the robot learned to position itself on the court. It figured out that the best strategy after a successful return is to move back to the center and toward the backline, which is something human players do. It even came with a trick where it stood on its hind legs to see the incoming shuttlecock better. It also learned fall avoidance and determined how much risk was reasonable to take given its limited speed. The robot did not attempt impossible plays that would create the potential for serious damage -- it was committed, but not suicidal. But when it finally played humans, it turned out ANYmal, as a badminton player, was amateur at best. The findings have been published in the journal Science Robotics. You can watch a video of the four-legged robot playing badminton on YouTube.

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An anonymous reader shares a report: A data broker owned by the country's major airlines, including Delta, American Airlines, and United, collected U.S. travellers' domestic flight records, sold access to them to Customs and Border Protection (CBP), and then as part of the contract told CBP to not reveal where the data came from, according to internal CBP documents obtained by 404 Media. The data includes passenger names, their full flight itineraries, and financial details. CBP, a part of the Department of Homeland Security (DHS), says it needs this data to support state and local police to track people of interest's air travel across the country, in a purchase that has alarmed civil liberties experts. The documents reveal for the first time in detail why at least one part of DHS purchased such information, and comes after Immigration and Customs Enforcement (ICE) detailed its own purchase of the data. The documents also show for the first time that the data broker, called the Airlines Reporting Corporation (ARC), tells government agencies not to mention where it sourced the flight data from. "The big airlines -- through a shady data broker that they own called ARC -- are selling the government bulk access to Americans' sensitive information, revealing where they fly and the credit card they used," Senator Ron Wyden said in a statement. ARC is owned and operated by at least eight major U.S. airlines, other publicly released documents show. The company's board of directors include representatives from Delta, Southwest, United, American Airlines, Alaska Airlines, JetBlue, and European airlines Lufthansa and Air France, and Canada's Air Canada. More than 240 airlines depend on ARC for ticket settlement services.

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The Wikimedia Foundation halted an experiment that would have displayed AI-generated summaries atop Wikipedia articles after the platform's volunteer editor community delivered an overwhelmingly negative response to the proposal. The foundation announced the two-week mobile trial on June 2 and suspended it just one day later following dozens of critical comments from editors. The experiment, called "Simple Article Summaries," would have used Cohere's open-weight Aya model to generate simplified versions of complex Wikipedia articles. The AI-generated summaries would have appeared at the top of articles with a yellow "unverified" label, requiring users to click to expand and read them. Editors responded with comments including "very bad idea," "strongest possible oppose," and simply "Yuck."

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HP has unveiled the first commercial hardware for Google Beam, the Android-maker's 3D video conferencing technology formerly known as Project Starline, with a price tag of $24,999. The HP Dimension features a 65-inch light field display paired with six high-speed cameras positioned around the screen to capture speakers from multiple angles, creating what the companies describe as a lifelike 3D representation without requiring headsets or glasses. The system processes visual data through Google's proprietary volumetric video model, which merges camera streams into 3D reconstructions with millimeter-scale precision at 60 frames per second. Beyond the hardware cost, users must purchase a separate Google Beam license for cloud processing, though pricing for that service remains undisclosed.

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The Vera C. Rubin Observatory in Chile will begin full operations in the coming months with the world's largest digital camera, capturing 3,200-megapixel images that would require several hundred HD television screens to display at full resolution. The $810 million facility will map the entire southern sky every three to four nights, observing each location approximately 800 times over its planned decade of operations. The telescope's unusual design allows it to photograph an area equivalent to 45 full moons in each shot and swing between different sky locations every 40 seconds. Its digital camera, roughly the size of a small car, will generate eight million alerts per night when it detects astronomical objects that move or change brightness, according to Tony Tyson, the University of California, Davis astronomer who conceived the project in the 1990s. Astrophysicist Federica Bianco, who received a preview of the telescope's first full-color image, described her reaction simply: "There are so many stars!" The team plans to unveil that inaugural image on June 23.

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Disney and NBCUniversal have filed a copyright infringement lawsuit against AI image generator firm Midjourney in U.S. District Court in Los Angeles, marking the first time major Hollywood studios have taken legal action against a generative AI company. The entertainment giants accuse Midjourney, founded in 2021, of training its software on "countless" copyrighted works without permission and enabling users to create images that "blatantly incorporate and copy" famous characters including Darth Vader, the Minions, Frozen's Elsa, Shrek, and Homer Simpson. The companies claim they attempted to resolve the matter privately, but Midjourney "continued to release new versions" with "even higher quality infringing images" according to the complaint. Disney's general counsel used the word "piracy," to describe Midjourney's practice, while NBCUniversal's general counsel characterized it as "blatant infringement."

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WhatsApp has applied to submit evidence in Apple's legal battle against the UK Home Office over government demands for access to encrypted user data. The messaging platform's boss Will Cathcart told the BBC the case "could set a dangerous precedent" by "emboldening other nations" to seek to break encryption protections. The confrontation began when Apple received a secret Technical Capability Notice from the Home Office earlier this year demanding the right to access data from its global customers for national security purposes. Apple responded by first pulling its Advanced Data Protection system from the UK, then taking the government to court to overturn the request. Cathcart said WhatsApp "would challenge any law or government request that seeks to weaken the encryption of our services." US Director of National Intelligence Tulsi Gabbard has called the UK's demands an "egregious violation" of American citizens' privacy rights.

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Apple executives defended the company's AI strategy this week after acknowledging that major Siri features announced at last year's Worldwide Developers Conference remain undelivered and were quietly pulled from development plans. Craig Federighi, Apple's senior vice president of software engineering, told the Wall Street Journal that the company is rebuilding Siri from the ground up, admitting that while Apple had working software for the promised features, "it didn't converge in the way quality-wise that we needed it to." The missing capabilities included Siri's ability to search through apps and respond to on-screen activities, features that were demonstrated a year ago but never shipped to users. In the upcoming iOS 26, Apple has instead incorporated more OpenAI technology, allowing users to interact with ChatGPT through camera and screenshots and generate images using OpenAI's tools. Federighi defended the strategy by comparing Apple's position to the early internet era, when the company focused on making other services accessible rather than building competing platforms.

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An anonymous reader quotes a report from TorrentFreak: Fresh data released by piracy tracking outfit MUSO shows that pirate sites remain popular. In a report released today, MUSO reveals that there were 216 billion pirate site visits globally in 2024, a slight decrease compared to the 229 billion visits recorded a year earlier. TV piracy remains by far the most popular category, representing over 44.6% of all website visits. This is followed by the publishing category with 30.7%, with film, software and music all at a respectable distance. Pirate site visitors originate from all over the world, but one country stands tall above all the rest: America. The United States remains the top driver of pirate site traffic accounting for more than 12% of all traffic globally, good for 26.7 billion visits in 2024. India has been steadily climbing the ranks for years and currently sits in second place with 17.6 billion annual visits, with Russia, Indonesia, and Vietnam completing the top five. As a country with one of the largest populations worldwide, it's not a complete surprise that the U.S. tops the list. If we counted visits per internet user, Canada and Ukraine would top the list. While pirate site visits dipped by more than 5% in 2024, one category saw substantial growth. Visits to publishing-related pirate sites increased 4.3% from 63.6 to 66.4 billion. The increase is largely driven by the popularity of manga, which accounts for more than 70% of all publishing piracy. Traditional book piracy, meanwhile, is stuck at 5%. The publishing piracy boom is relatively new. Over the past five years, the category grew by more than 100% while the overall number of global pirate site visits remained relatively flat. Looking at the global demand, we see that the U.S. also leads the charge here, followed by Indonesia and Russia. Notably, Japan, the home of manga, ranks fifth in the publishing category. This stands out because Japan is not listed in the global top 15 in terms of total pirate site visits. In the other content categories, MUSO's data shows a dip in pirate site visits. The changes are relatively modest for TV (-6.8%) and software (-2.1%) but the same isn't true for the music and film categories. In 2024, there were 18% fewer visits for pirated movies compared to a year earlier. MUSO notes that this is due to a "lighter blockbuster calendar" which reduced piracy peaks. "The drop in demand is as much about what wasn't released as it is about access," the report explains. The music category saw a 19% decline in piracy visits year over year, with a more uplifting explanation for rightsholders. According to MUSO, the drop can be partly attributed to "secure app ecosystems" and the "wide adoption of licensed platforms like Spotify and Apple Music."

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