Movie exhibitors still face "serious risks," the Los Angeles Times reported Tuesday: Attendance was on the decline even before the pandemic shuttered theaters, thanks to changing consumer habits and competition for people's time and money from other entertainment options. The industry has demonstrated an over-reliance on Imax-friendly studio action tent poles, when theater chains need a deep and diverse roster of movies in order to thrive... It remains to be seen whether the global box office will ever get back to the $40 billion-plus days of 2019 and earlier years. A clearer picture will emerge in 2025 when the writers' and actors' strikes are further in the past. But overall, there's a strong case that moviegoing has proved to be relatively sturdy despite persistent difficulties.
Which brings us to this year's CinemaCon convention, where multiplex operators heard from Hollywood studios teasing upcoming blockbusters like Joker: Folie à Deux, Furiosa: A Mad Max Saga, Transformers One, and Deadpool & Wolverine. Exhibitors pleaded with the major studios to release more films of varying budgets on the big screen, while studios made the case that their upcoming slates are robust enough to keep them in business... Box office revenue in the U.S. and Canada is expected to total about $8.5 billion, which is down from $9 billion in 2023 and a far cry from the pre-pandemic yearly tallies that nearly reached $12 billion... Though a fuller release schedule is expected for 2025, talk of budget cuts, greater industry consolidation and corporate mergers has forced exhibitors to prepare for the possibility of a near future with fewer studios making fewer movies....

As the domestic film business has been thrown into turmoil in recent years, Japanese cinema and faith-based content have been two of movie theaters' saving graces. Industry leaders kicked off CinemaCon on Tuesday by singing the praises of Sony-owned anime distributor Crunchyroll's hits — including the latest "Demon Slayer" installment. Mitchel Berger, senior vice president of global commerce at Crunchyroll, said Tuesday that the global anime business generated $14 billion a decade ago and is projected to generate $37 billion next year. "Anime is red hot right now," Berger said. "Fans have known about it for years, but now everyone else is catching up and recognizing that it's a cultural, economic force to be reckoned with.... " Another type of product buoying the exhibition industry right now is faith-based programming, shepherded in large part by "Sound of Freedom" distributor Angel Studios...

Theater owners urged studio executives at CinemaCon to put more films in theaters — and not just big-budget tent poles timed for summer movie season and holiday weekends... "Whenever we have a [blockbuster] film — whether it be 'Barbie' or 'Super Mario' ... records are set," added Bill Barstow, co-founder of ACX Cinemas in Nebraska. "But we just don't have enough of them."

The Associated Press reports: As their rivalry intensifies, U.S. and Chinese military planners are gearing up for a new kind of warfare in which squadrons of air and sea drones equipped with artificial intelligence work together like swarms of bees to overwhelm an enemy. The planners envision a scenario in which hundreds, even thousands of the machines engage in coordinated battle. A single controller might oversee dozens of drones. Some would scout, others attack. Some would be able to pivot to new objectives in the middle of a mission based on prior programming rather than a direct order.

The world's only AI superpowers are engaged in an arms race for swarming drones that is reminiscent of the Cold War, except drone technology will be far more difficult to contain than nuclear weapons. Because software drives the drones' swarming abilities, it could be relatively easy and cheap for rogue nations and militants to acquire their own fleets of killer robots. The Pentagon is pushing urgent development of inexpensive, expendable drones as a deterrent against China acting on its territorial claim on Taiwan. Washington says it has no choice but to keep pace with Beijing. Chinese officials say AI-enabled weapons are inevitable so they, too, must have them.

The unchecked spread of swarm technology "could lead to more instability and conflict around the world," said Margarita Konaev, an analyst with Georgetown University's Center for Security and Emerging Technology.
"A 2023 Georgetown study of AI-related military spending found that more than a third of known contracts issued by both U.S. and Chinese military services over eight months in 2020 were for intelligent uncrewed systems..." according to the article.

"Military analysts, drone makers and AI researchers don't expect fully capable, combat-ready swarms to be fielded for five years or so, though big breakthroughs could happen sooner."

The PHP programming language has sunk to its lowest position ever on the long-running TIOBE index of programming language popularity. It now ranks #17 — lower than Assembly Language, Ruby, Swift, Scratch, and MATLAB. InfoWorld reports: When the Tiobe index started in 2001, PHP was about to become the standard language for building websites, said Paul Jansen, CEO of software quality services vendor Tiobe. PHP even reached the top 3 spot in the index, ranking third several times between 2006 and 2010. But as competing web development frameworks such as Ruby on Rails, Django, and React arrived in other languages, PHP's popularity waned.

"The major driving languages behind these new frameworks were Ruby, Python, and most notably JavaScript," Jansen noted in his statement accompanying the index. "On top of this competition, some security issues were found in PHP. As a result, PHP had to reinvent itself." Nowadays, PHP still has a strong presence in small and medium websites and is the language leveraged in the WordPress web content management system. "PHP is certainly not gone, but its glory days seem to be over," Jansen said.
A note on the rival Pypl Popularity of Programming Language Index argues that the TIOBE Index "is a lagging indicator. It counts the number of web pages with the language name." So while "Objective-C" ranks #30 on TIOBE's index (one rank above Classic Visual Basic), "who is reading those Objective-C web pages? Hardly anyone, according to Google Trends data." On TIOBE's index, Fortran now ranks #10.

Meanwhile, PHP ranks #7 on Pypl (based on the frequency of searches for language tutorials).

TIOBE's top ten?

1. Python
2. C
3. C++
4. Java
5. C#
6. JavaScript
7. Go
8. Visual Basic
9. SQL
10. Fortran

The next two languages, ranked #11 and #12, are Delphi/Object Pascal and Assembly Language.

theodp writes: From a Wednesday press release: "Code.org, in collaboration with The Piech Lab at Stanford University, launched today its AI Teaching Assistant, ushering in a new era of computer science instruction to support teachers in preparing students with the foundational skills necessary to work, live and thrive in an AI world. [...] Launching as a part of Code.org's leading Computer Science Discoveries (CSD) curriculum [for grades 6-10], the tool is designed to bolster teacher confidence in teaching computer science." EdWeek reports that in a limited pilot project involving twenty teachers nationwide, the AI computer science grading tool cut one middle school teacher's grading time in half. Code.org is now inviting an additional 300 teachers to give the tool a try. "Many teachers who lead computer science courses," EdWeek notes, "don't have a degree in the subject -- or even much training on how to teach it -- and might be the only educator in their school leading a computer science course."

Stanford's Piech Lab is headed by assistant professor of CS Chris Piech, who also runs the wildly-successful free Code in Place MOOC (30,000+ learners and counting), which teaches fundamentals from Stanford's flagship introduction to Python course. Prior to coming up with the new AI teaching assistant, which automatically assesses Code.org students' JavaScript game code, Piech worked on a Stanford Research team that partnered with Code.org nearly a decade ago to create algorithms to generate hints for K-12 students trying to solve Code.org's Hour of Code block-based programming puzzles (2015 paper [PDF]). And several years ago, Piech's lab again teamed with Code.org on Play-to-Grade, which sought to "provide scalable automated grading on all types of coding assignments" by analyzing the game play of Code.org students' projects. Play-to-Grade, a 2022 paper (PDF) noted, was "supported in part by a Stanford Hoffman-Yee Human Centered AI grant" for AI tutors to help prepare students for the 21st century workforce. That project also aimed to develop a "Super Teaching Assistant" for Piech's Code in Place MOOC. LinkedIn co-founder Reid Hoffman, who was present for the presentation of the 'AI Tutors' work he and his wife funded, is a Code.org Diamond Supporter ($1+ million). In other AI grading news, Texas will use computers to grade written answers on this year's STAAR tests. The state will save more than $15 million by using technology similar to ChatGPT to give initial scores, reducing the number of human graders needed.

Amazon will no longer pay developers to create applications for Alexa, scrapping a key element of the company's effort to build a flourishing app store for its voice-activated digital assistant. From a report: Amazon recently told participants of the Alexa Developer Rewards Program, which cut monthly checks to builders of popular Alexa apps, that the offering would end at the end of June. "Developers like you have and will play a critical role in the success of Alexa and we appreciate your continued engagement," said the notice, which was reviewed by Bloomberg. Amazon is also winding down a program that offered free credits for Alexa developers to power their programs with Amazon Web Services, according to a notice posted on a company website.

Despite losing the direct payments, developers can still monetize their efforts with in-app purchases. Alexa, which powers Echo smart speakers and other devices, helped popularize voice assistants when it debuted almost a decade ago, letting users summon weather and news reports, play games and more. The company has since sold millions of Alexa-powered gadgets, but the technology appears far from the cutting-edge amid an explosion in chatbots using generative artificial intelligence.

Keaton Peters reports via the Texas Tribune: Students sitting for their STAAR exams this week will be part of a new method of evaluating Texas schools: Their written answers on the state's standardized tests will be graded automatically by computers. The Texas Education Agency is rolling out an "automated scoring engine" for open-ended questions on the State of Texas Assessment of Academic Readiness for reading, writing, science and social studies. The technology, which uses natural language processing technology like artificial intelligence chatbots such as GPT-4, will save the state agency about $15-20 million per year that it would otherwise have spent on hiring human scorers through a third-party contractor.

The change comes after the STAAR test, which measures students' understanding of state-mandated core curriculum, was redesigned in 2023. The test now includes fewer multiple choice questions and more open-ended questions -- known as constructed response items. After the redesign, there are six to seven times more constructed response items. "We wanted to keep as many constructed open ended responses as we can, but they take an incredible amount of time to score," said Jose Rios, director of student assessment at the Texas Education Agency. In 2023, Rios said TEA hired about 6,000 temporary scorers, but this year, it will need under 2,000.

To develop the scoring system, the TEA gathered 3,000 responses that went through two rounds of human scoring. From this field sample, the automated scoring engine learns the characteristics of responses, and it is programmed to assign the same scores a human would have given. This spring, as students complete their tests, the computer will first grade all the constructed responses. Then, a quarter of the responses will be rescored by humans. When the computer has "low confidence" in the score it assigned, those responses will be automatically reassigned to a human. The same thing will happen when the computer encounters a type of response that its programming does not recognize, such as one using lots of slang or words in a language other than English. "In addition to 'low confidence' scores and responses that do not fit in the computer's programming, a random sample of responses will also be automatically handed off to humans to check the computer's work," notes Peters. While similar to ChatGPT, TEA officials have resisted the suggestion that the scoring engine is artificial intelligence. They note that the process doesn't "learn" from the responses and always defers to its original programming set up by the state.

Four months ago long-time Slashdot reader Shayde tried restoring a 1986 DEC PDP-11 minicomputer.

But now he's gone even further back in time. Shayde writes: In 1984, Apple II's were at the top of their game in the 8 bit market. A company in New Jersey decided to get in on the action and built an exact clone of the Apple. The Franklin Ace was chip and ROM compatible with the Apple II, and that led to it's downfall.

In this video we resurrect and old Franklin Ace and not only boot ProDOS, but also get the Z80 coprocessor up and running, and relive what coding in Turbo Pascal in the 80s was like.
Why Turbo Pascal? "Some of my earliest professional programming was done in this environment," Shayde says in the video, "and I was itching to play with it again."

In Communication of the ACM, Google's VP of Education notes how calculators impacted math education — and wonders whether generative AI will have the same impact on CS education: Teachers had to find the right amount of long-hand arithmetic and mathematical problem solving for students to do, in order for them to have the "number sense" to be successful later in algebra and calculus. Too much focus on calculators diminished number sense. We have a similar situation in determining the 'code sense' required for students to be successful in this new realm of automated software engineering. It will take a few iterations to understand exactly what kind of praxis students need in this new era of LLMs to develop sufficient code sense, but now is the time to experiment."
Long-time Slashdot reader theodp notes it's not the first time the Google executive has had to consider "iterating" curriculum: The CACM article echoes earlier comments Google's Education VP made in a featured talk called The Future of Computational Thinking at last year's Blockly Summit. (Blockly is the Google technology that powers drag-and-drop coding IDE's used for K-12 CS education, including Scratch and Code.org). Envisioning a world where AI generates code and humans proofread it, Johnson explained: "One can imagine a future where these generative coding systems become so reliable, so capable, and so secure that the amount of time doing low-level coding really decreases for both students and for professionals. So, we see a shift with students to focus more on reading and understanding and assessing generated code and less about actually writing it. [...] I don't anticipate that the need for understanding code is going to go away entirely right away [...] I think there will still be at least in the near term a need to understand read and understand code so that you can assess the reliabilities, the correctness of generated code. So, I think in the near term there's still going to be a need for that." In the following Q&A, Johnson is caught by surprise when asked whether there will even be a need for Blockly at all in the AI-driven world as described — and the Google VP concedes there may not be.

TechCrunch reports this week that Meta "is denying that it gave Netflix access to users' private messages..." The claim references a court filing that emerged as part of the discovery process in a class-action lawsuit over data privacy practices between a group of consumers and Facebook's parent, Meta. The document alleges that Netflix and Facebook had a "special relationship" and that Facebook even cut spending on original programming for its Facebook Watch video service so as not to compete with Netflix, a large Facebook advertiser. It also says that Netflix had access to Meta's "Inbox API" that offered the streamer "programmatic access to Facebook's user's private message inboxes...."

Meta's communications director, Andy Stone, reposted the original X post on Tuesday with a statement disputing that Netflix had been given access to users' private messages. "Shockingly untrue," Stone wrote on X. "Meta didn't share people's private messages with Netflix. The agreement allowed people to message their friends on Facebook about what they were watching on Netflix, directly from the Netflix app. Such agreements are commonplace in the industry...."

Beyond Stone's X post, Meta has not provided further comment. However, The New York Times had previously reported in 2018 that Netflix and Spotify could read users' private messages, according to documents it had obtained. Meta denied those claims at the time via a blog post titled "Facts About Facebook's Messaging Partnerships," where it explained that Netflix and Spotify had access to APIs that allowed consumers to message friends about what they were listening to on Spotify or watching on Netflix directly from those companies' respective apps. This required the companies to have "write access" to compose messages to friends, "read access" to allow users to read messages back from friends, and "delete access," which meant if you deleted a message from the third-party app, it would also delete the message from Facebook.

"No third party was reading your private messages, or writing messages to your friends without your permission. Many news stories imply we were shipping over private messages to partners, which is not correct," the blog post stated. In any event, Messenger didn't implement default end-to-end encryption until December 2023, a practice that would have made these sorts of claims a non-starter, as it wouldn't have left room for doubt.

AMD plans to document and open source its Micro Engine Scheduler (MES) firmware for GPUs, giving users more control over Radeon graphics cards. From a report: It's part of a larger effort AMD confirmed earlier this week about making its GPUs more open source at both a software level in respect to the ROCm stack for GPU programming and a hardware level. Details were scarce with this initial announcement, and the only concrete thing it introduced was a GitHub tracker.

However, yesterday AMD divulged more details, specifying that one of the things it would be making open source was the MES firmware for Radeon GPUs. AMD says it will be publishing documentation for MES around the end of May, and will then release the source code some time afterward. For one George Hotz and his startup, Tiny Corp, this is great news. Throughout March, Hotz had agitated for AMD to make MES open source in order to fix issues he was experiencing with his RX 7900 XTX-powered AI server box. He had talked several times to AMD representatives, and even the company's CEO, Lisa Su.

In an interview with Roblox Studio head Stefano Corazza, Eurogamer asked about the reputation Roblox has gained and the notion that it was exploitative of young developers, since it takes a cut from work sometimes produced by children. Here's what he had to say: "I don't know, you can say this for a lot of things, right?" Corazza said. "Like, you can say, 'Okay, we are exploiting, you know, child labour,' right? Or, you can say: we are offering people anywhere in the world the capability to get a job, and even like an income. So, I can be like 15 years old, in Indonesia, living in a slum, and then now, with just a laptop, I can create something, make money and then sustain my life. "There's always the flip side of that, when you go broad and democratized - and in this case, also with a younger audience," he continued. "I mean, our average game developer is in their 20s. But of course, there's people that are teenagers -- and we have hired some teenagers that had millions of players on the platform.

"For them, you know, hearing from their experience, they didn't feel like they were exploited! They felt like, 'Oh my god, this was the biggest gift, all of a sudden I could create something, I had millions of users, I made so much money I could retire.' So I focus more on the amount of money that we distribute every year to creators, which is now getting close to like a billion dollars, which is phenomenal."

At this point the PR present during the interview added that "the vast majority of people that are earning money on Roblox are over the age of 18." "And imagine like, the millions of kids that learn how to code every month," Corazza said. "We have millions of creators in Roblox Studio. They learn Lua scripting," a programming language, "which is pretty close to Python - you can get a job in the tech industry in the future, and be like, 'Hey, I'm a programmer,' right? "I think that we are really focusing on the learning - the curriculum, if you want - and really bringing people on and empowering them to be professionals."

Top business schools are integrating AI into their curricula to prepare students for the changing job market. Schools like the Wharton School, American University's Kogod School of Business, Columbia Business School, and Duke University's Fuqua School of Business are emphasizing AI skills across various courses, WSJ reported Wednesday. Professors are encouraging students to use AI as a tool for generating ideas, preparing for negotiations, and pressure-testing business concepts. However, they stress that human judgment remains crucial in directing AI and making sound decisions. An excerpt from the story: Before, engineers had an edge against business graduates because of their technical expertise, but now M.B.A.s can use AI to compete in that zone, said Robert Bray, who teaches operations management at Northwestern's Kellogg School of Management. He encourages his students to offload as much work as possible to AI, treating it like "a really proficient intern." Ben Morton, one of Bray's students, is bullish on AI but knows he needs to be able to work without it. He did some coding with ChatGPT for class and wondered: If ChatGPT were down for a week, could he still get work done?

Learning to code with the help of generative AI sped up his development. "I know so much more about programming than I did six months ago," said Morton, 27. "Everyone's capabilities are exponentially increasing." Several professors said they can teach more material with AI's assistance. One said that because AI could solve his lab assignments, he no longer needed much of the class time for those activities. With the extra hours he has students present to their peers on AI innovations. Campus is where students should think through how to use AI responsibly, said Bill Boulding, dean of Duke's Fuqua School. "How do we embrace it? That is the right way to approach this -- we can't stop this," he said. "It has eaten our world. It will eat everyone else's world."

Lindsay Clark reports via The Register: Analytics platform Databricks has launched an open source foundational large language model, hoping enterprises will opt to use its tools to jump on the LLM bandwagon. The biz, founded around Apache Spark, published a slew of benchmarks claiming its general-purpose LLM -- dubbed DBRX -- beat open source rivals on language understanding, programming, and math. The developer also claimed it beat OpenAI's proprietary GPT-3.5 across the same measures.

DBRX was developed by Mosaic AI, which Databricks acquired for $1.3 billion, and trained on Nvidia DGX Cloud. Databricks claims it optimized DBRX for efficiency with what it calls a mixture-of-experts (MoE) architecture â" where multiple expert networks or learners divide up a problem. Databricks explained that the model possesses 132 billion parameters, but only 36 billion are active on any one input. Joel Minnick, Databricks marketing vice president, told The Register: "That is a big reason why the model is able to run as efficiently as it does, but also runs blazingly fast. In practical terms, if you use any kind of major chatbots that are out there today, you're probably used to waiting and watching the answer get generated. With DBRX it is near instantaneous."

But the performance of the model itself is not the point for Databricks. The biz is, after all, making DBRX available for free on GitHub and Hugging Face. Databricks is hoping customers use the model as the basis for their own LLMs. If that happens it might improve customer chatbots or internal question answering, while also showing how DBRX was built using Databricks's proprietary tools. Databricks put together the dataset from which DBRX was developed using Apache Spark and Databricks notebooks for data processing, Unity Catalog for data management and governance, and MLflow for experiment tracking.

An anonymous reader shares a report: Echoing the past two years of Rust evangelism and C/C++ ennui, Google reports that Rust shines in production, to the point that its developers are twice as productive using the language compared to C++. Speaking at the Rust Nation UK Conference in London this week, Lars Bergstrom, director of engineering at Google, who works on Android Platform Tools & Libraries, described the web titan's experience migrating projects written in Go or C++ to the Rust programming language.

Bergstrom said that while Dropbox in 2016 and Figma in 2018 offered early accounts of rewriting code in memory-safe Rust - and doubts about productivity and the language have subsided - concerns have lingered about its reliability and security. "Even six months ago, this was a really tough conversation," he said. "I would go and I would talk to people and they would say, 'Wait, wait you have an `unsafe` keyword. That means we should all write C++ until the heat death of the Universe.'"

But there's been a shift in awareness across the software development ecosystem, Bergstrom argued, about the challenges of using non-memory safe languages. Such messaging is now coming from government authorities in the US and other nations who understand the role software plays in critical infrastructure. The reason is that the majority of security vulnerabilities in large codebases can be traced to memory security bugs. And since Rust code can largely if not totally avoid such problems when properly implemented, memory safety now looks a lot like a national security issue.

"Subscribers of both Disney+ and Hulu can now access Hulu content through the Disney+ app," reports the Los Angeles Times, "as the Burbank media and entertainment giant launched its one-app integration of the two streaming services Wednesday..." The move is part of Disney's plan to increase viewer engagement and reduce churn on Disney+, which has 111.3 million subscribers globally. Disney has lost billions on its direct-to-consumer business as it tries to compete with Netflix, but the company has told investors that its streaming segment will begin to turn a profit by the end of fiscal 2024. Streaming losses have been a key component of a nasty activist shareholder campaign ahead of next week's annual meeting.

Disney+ has typically served up family-friendly content and major brands such as Pixar, Star Wars and Marvel, whereas Hulu's offering has been the streaming home of more adult-oriented programming. Disney executives described the combined app experience as the most extensive technical advancement to the Disney+ streaming platform since it launched in November 2019... The price of the bundle plan starts at $9.99 with ads... Upgrading to the bundle of Hulu on Disney+ will start at $2 more per month, Disney said.

"What a time we live in," writes Phoronix, "where Microsoft not only continues contributing significantly to the Linux kernel but doing so to further flesh out the design of the Linux kernel's Rust programming language support..." Microsoft engineer Wedson Almeida Filho has sent out the latest patches working on Allocation APIs for the Rust Linux kernel code and also in leveraging those proposed APIs [as] a means of allowing in-place module initialization for Rust kernel modules. Wedson Almeida Filho has been a longtime Rust for Linux contributor going back to his Google engineering days and at Microsoft the past two years has shown no signs of slowing down on the Rust for Linux activities...

The Rust for Linux kernel effort remains a very vibrant effort with a wide variety of organizations contributing, even Microsoft engineers.

Lyle Smith reports via StorageReview.com: Proxmox has introduced a new import wizard for Proxmox Virtual Environment (VE), aiming to simplify the migration process for importing VMware ESXi VMs. This new feature comes at an important time in the industry, as it aims to ease the transition for these organizations looking to move away from VMware's vSphere due to high renewal costs.

The new import wizard is integrated into Proxmox VE's existing storage plugin system, allowing for direct integration into the platform's API and web-based user interface. It offers users the ability to import VMware ESXi VMs in their entirety, translating most of the original VM's configuration settings to Proxmox VE's configuration model (all while minimizing downtime). Currently, the import wizard is in a technical preview state, having been added during the Proxmox VE 8.2 development cycle. Although it is still under active development, early reports suggest the wizard is stable and holds considerable promise for future enhancements, including the planned addition of support for other import sources like OVF/OVA files. [...]

This tool represents Proxmox's commitment to providing accessible, open-source virtualization solutions. By leveraging the official ESXi API and implementing a user space filesystem with optimized read-ahead caching in Rust (a safe, fast, and modern programming language ideal for system-level tasks), Proxmox aims to ensure that this new feature can be integrated smoothly into its broader ecosystem.

Longtime Slashdot reader kriston writes: Core PostgreSQL developer Simon Riggs dies in airplane crash in Duxford, England. Riggs was the sole occupant of a Cirrus SR22-T which crashed on March 26 after performing touch-and-go maneuvers. Riggs was responsible for much of the enterprise-level features in PostgreSQL, including point-in-time recovery, synchronous replication, and hot standby. He also was the head of the company 2ndQuadrant that provides PostgreSQL support. Riggs' last community contribution was the presentation of the keynote at PostgreSQL Conference Europe 2023 in Prague, which you can watch on YouTube.

The BBC says it has stopped using AI to promote Doctor Who after receiving complaints from viewers. Deadline reports: The BBC's marketing teams used the tech "as part of a small trial" to help draft some text for two promotional emails and mobile notifications, according to its complaints website, which was intended to highlight Doctor Who programming on the BBC. But the corporation received complaints over the reports that it was using generative AI, it added. "We followed all BBC editorial compliance processes and the final text was verified and signed-off by a member of the marketing team before it was sent," the BBC said. "We have no plans to do this again to promote Doctor Who."

The decision to stop promoting via generative AI represents a u-turn from the BBC, who said at the time of announcement that "generative AI offers a great opportunity to speed up making the extra assets to get more experiments live for more content that we are trying to promote." At the time, the BBC didn't mention that this would be the only time it uses the technology for Doctor Who promotion. Doctor Who will launch in May on the BBC and, for the first time, Disney+. A new trailer was unveiled last week.

"It's a bad day for bugs," joked TechCrunch on Wednesday. "Earlier today, Sentry announced its AI Autofix feature for debugging production code..."

And then the same day, BleepingComputer reported that GitHub "introduced a new AI-powered feature capable of speeding up vulnerability fixes while coding." This feature is in public beta and automatically enabled on all private repositories for GitHub Advanced Security customers. Known as Code Scanning Autofix and powered by GitHub Copilot and CodeQL, it helps deal with over 90% of alert types in JavaScript, Typescript, Java, and Python... After being toggled on, it provides potential fixes that GitHub claims will likely address more than two-thirds of found vulnerabilities while coding with little or no editing.

"When a vulnerability is discovered in a supported language, fix suggestions will include a natural language explanation of the suggested fix, together with a preview of the code suggestion that the developer can accept, edit, or dismiss," GitHub's Pierre Tempel and Eric Tooley said...

Last month, the company also enabled push protection by default for all public repositories to stop the accidental exposure of secrets like access tokens and API keys when pushing new code. This was a significant issue in 2023, as GitHub users accidentally exposed 12.8 million authentication and sensitive secrets via more than 3 million public repositories throughout the year.
GitHub will continue adding support for more languages, with C# and Go coming next, according to their announcement.

"Our vision for application security is an environment where found means fixed."