Amanda Hoover reports via Wired: Students have submitted more than 22 million papers that may have used generative AI in the past year, new data released by plagiarism detection company Turnitin shows. A year ago, Turnitin rolled out an AI writing detection tool that was trained on its trove of papers written by students as well as other AI-generated texts. Since then, more than 200 million papers have been reviewed by the detector, predominantly written by high school and college students. Turnitin found that 11 percent may contain AI-written language in 20 percent of its content, with 3 percent of the total papers reviewed getting flagged for having 80 percent or more AI writing. Turnitin says its detector has a false positive rate of less than 1 percent when analyzing full documents.

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.

The embargo has lifted for reviews of Humane's AI Pin and the general consensus appears to be that this device isn't ready to usher us into the all-but-inevitable AI future. Starting at $699 with a pricy $24-a-month subscription, the wearable device is designed to incorporate artificial intelligence into everyday scenarios, with the ability to make calls, translate languages, recommend nearby restaurants, and capture photos and videos. "The best description so far is that it's a combination of a wearable Siri button with a camera and built-in projector that beams onto your palm," writes Cherlynn Low via Engadget. While full of potential, the AI Pin creates more problems than it solves and many of the features you'd intuitively expect from it aren't supported at launch.

Here's a roundup of some of the first reviews:

Engadget: The Humane AI Pin is the solution to none of technology's problems
The Verge: Humane AI Pin review: not even close
Wired: Humane Ai Pin Review: Too Clunky, Too Limited
The Washington Post: I've been living with a $699 AI Pin on my chest. You probably shouldn't.
CNET: Humane AI Hands-On: My Life So Far With a Wearable AI Pin

An anonymous reader quotes a report from Ars Technica: Amid a flurry of lawsuits over AI models' training data, US Representative Adam Schiff (D-Calif.) has introduced (PDF) a bill that would require AI companies to disclose exactly which copyrighted works are included in datasets training AI systems. The Generative AI Disclosure Act "would require a notice to be submitted to the Register of Copyrights prior to the release of a new generative AI system with regard to all copyrighted works used in building or altering the training dataset for that system," Schiff said in a press release.

The bill is retroactive and would apply to all AI systems available today, as well as to all AI systems to come. It would take effect 180 days after it's enacted, requiring anyone who creates or alters a training set not only to list works referenced by the dataset, but also to provide a URL to the dataset within 30 days before the AI system is released to the public. That URL would presumably give creators a way to double-check if their materials have been used and seek any credit or compensation available before the AI tools are in use. All notices would be kept in a publicly available online database.

Currently, creators who don't have access to training datasets rely on AI models' outputs to figure out if their copyrighted works may have been included in training various AI systems. The New York Times, for example, prompted ChatGPT to spit out excerpts of its articles, relying on a tactic to identify training data by asking ChatGPT to produce lines from specific articles, which OpenAI has curiously described as "hacking." Under Schiff's law, The New York Times would need to consult the database to ID all articles used to train ChatGPT or any other AI system. Any AI maker who violates the act would risk a "civil penalty in an amount not less than $5,000," the proposed bill said. Schiff described the act as championing "innovation while safeguarding the rights and contributions of creators, ensuring they are aware when their work contributes to AI training datasets."

"This is about respecting creativity in the age of AI and marrying technological progress with fairness," Schiff said.

Apple, aiming to boost sluggish computer sales, is preparing to overhaul its entire Mac line with a new family of in-house processors designed to highlight AI. Bloomberg News: The company, which released its first Macs with M3 chips five months ago, is already nearing production of the next generation -- the M4 processor -- according to people with knowledge of the matter. The new chip will come in at least three main varieties, and Apple is looking to update every Mac model with it, said the people, who asked not to be identified because the plans haven't been announced.

The new Macs are underway at a critical time. After peaking in 2022, Mac sales fell 27% in the last fiscal year, which ended in September. In the holiday period, revenue from the computer line was flat. Apple attempted to breathe new life into the Mac business with an M3-focused launch event last October, but those chips didn't bring major performance improvements over the M2 from the prior year. Apple also is playing catch-up in AI, where it's seen as a laggard to Microsoft, Alphabet's Google and other tech peers. The new chips are part of a broader push to weave AI capabilities into all its products. Apple is aiming to release the updated computers beginning late this year and extending into early next year.

Amazon on Thursday added Andrew Ng, the computer scientist who led AI projects at Alphabet's Google and China's Baidu, to its board amid rising competition among Big Techs to add users for their GenAI products. From a report: Amazon's cloud unit is facing pressure from Microsoft's early pact with ChatGPT-maker OpenAI and integration of its technology into Azure, while Alexa voice assistant is in race with genAI chat tools from OpenAI and Google.

The appointment, effective April 9, also follows job cuts across Amazon, which has seen enterprise cloud spending and e-commerce sales moderate due to macroeconomic factors such as inflation and high interest rates. "As we look toward 2024 (and beyond), we're not done lowering our cost to serve," CEO Andy Jassy said in a letter to shareholders on Thursday.

Bruce66423 shares a report from The Guardian, with the caption: "The UK is hyperventilating about stories of shoplifting; though standing outside a shop and watching as a guy calmly gets off his bike, parks it, walks in and walks out with a pack of beer and cycles off -- and then seeing staff members rushing out -- was striking. So now it's throwing technical solutions at the problem..." From the report: The government is investing more than 55 million pounds in expanding facial recognition systems -- including vans that will scan crowded high streets -- as part of a renewed crackdown on shoplifting. The scheme was announced alongside plans for tougher punishments for serial or abusive shoplifters in England and Wales, including being forced to wear a tag to ensure they do not revisit the scene of their crime, under a new standalone criminal offense of assaulting a retail worker.

The new law, under which perpetrators could be sent to prison for up to six months and receive unlimited fines, will be introduced via an amendment to the criminal justice bill that is working its way through parliament. The change could happen as early as the summer. The government said it would invest 55.5 million pounds over the next four years. The plan includes 4 million pounds for mobile units that can be deployed on high streets using live facial recognition in crowded areas to identify people wanted by the police -- including repeat shoplifters. "This Orwellian tech has no place in Britain," said Silkie Carlo, director of civil liberties at campaign group Big Brother Watch. "Criminals should be brought to justice, but papering over the cracks of broken policing with Orwellian tech is not the solution. It is completely absurd to inflict mass surveillance on the general public under the premise of fighting theft while police are failing to even turn up to 40% of violent shoplifting incidents or to properly investigate many more serious crimes."

Starting May 15th, almost all Google Photos users will be able to access the AI photo editing features previously limited to Pixel owners and Google One subscribers. All you'll need is a device with at least a 64-bit chip, 4GB of RAM, and either iOS 15 or Android 8.0. The Verge reports: Magic Editor is Google's generative AI photo editing tool, and it debuted as one of the headline AI features on the Pixel 8 and 8 Pro. Those kinds of features typically remain exclusive to new Pixels for six months after launch, and right on time, Google's bringing it to previous Pixel phones. But it's not stopping there; any Google Photos user with an Android or iOS device that meets the minimum requirements will be able to use it without a Google One subscription -- you'll just be limited to 10 saved edits per month. Pixel owners and paid subscribers, however, will get unlimited use.

Older features like Photo Unblur and Magic Eraser -- which used to be available only to Pixel owners and certain Google One subscribers -- will be free for all Photos users. Google has a full list of these features on its Photos community site, and it includes things like editing portrait mode blur and lighting effects (useful, but not the cutting-edge stuff, for better or worse). Other generative AI features that launched with the Pixel 8 series, like Best Take and Audio Magic Eraser, are remaining exclusive to those newest Pixels, at least for now.

A bill introduced in the US Congress on Tuesday intends to force AI companies to reveal the copyrighted material they use to make their generative AI models. From a report: The legislation adds to a growing number of attempts from lawmakers, news outlets and artists to establish how AI firms use creative works like songs, visual art, books and movies to train their software-and whether those companies are illegally building their tools off copyrighted content.

The California Democratic congressman Adam Schiff introduced the bill, the Generative AI Copyright Disclosure Act, which would require that AI companies submit any copyrighted works in their training datasets to the Register of Copyrights before releasing new generative AI systems, which create text, images, music or video in response to users' prompts. The bill would need companies to file such documents at least 30 days before publicly debuting their AI tools, or face a financial penalty. Such datasets encompass billions of lines of text and images or millions of hours of music and movies.

"AI has the disruptive potential of changing our economy, our political system, and our day-to-day lives. We must balance the immense potential of AI with the crucial need for ethical guidelines and protections," Schiff said in a statement. Whether major AI companies worth billions have made illegal use of copyrighted works is increasingly the source of litigation and government investigation. Schiff's bill would not ban AI from training on copyrighted material, but would put a sizable onus on companies to list the massive swath of works that they use to build tools like ChatGPT -- data that is usually kept private.

Vinod Khosla, the founder of venture capital firm Khosla Ventures, opines on the bill that seeks to ban TikTok or force its parent firm to divest the U.S. business: Even if one could argue that this bill strikes at the First Amendment, there is legal precedent for doing so. In 1981, Haig vs Agee established that there are circumstances under which the government can lawfully impinge upon an individual's First Amendment rights if it is necessary to protect national security and prevent substantial harm. TikTok and the AI that can be channelled through it are national and homeland security issues that meet these standards.

Should this bill turn into law, the president would have the power to force any foreign-owned social media to be sold if US intelligence agencies deem them a national security threat. This broader scope should protect against challenges that this is a bill of attainder. Similar language helped protect effective bans on Huawei and Kaspersky Lab. As for TikTok's value as a boon to consumers and businesses, there are many companies that could quickly replace it. In 2020, after India banned TikTok amid geopolitical tensions between Beijing and New Delhi, services including Instagram Reels, YouTube Shorts, MX TakaTak, Chingari and others filled the void.Â

Few appreciate that TikTok is not available in China. Instead, Chinese consumers use Douyin, the sister app that features educational and patriotic videos, and is limited to 40 minutes per day of total usage. Spinach for Chinese kids, fentanyl -- another chief export of China's -- for ours. Worse still, TikTok is a programmable fentanyl whose effects are under the control of the CCP.

An anonymous reader quotes a report from Ars Technica: Former Apple design lead Jony Ive and current OpenAI CEO Sam Altman are seeking funding for a new company that will produce an "artificial intelligence-powered personal device," according to The Information's sources, who are said to be familiar with the plans. The exact nature of the device is unknown, but it will not look anything like a smartphone, according to the sources. We first heard tell of this venture in the fall of 2023, but The Information's story reveals that talks are moving forward to get the company off the ground.

Ive and Altman hope to raise at least $1 billion for the new company. The complete list of potential funding sources they've spoken with is unknown, but The Information's sources say they are in talks with frequent OpenAI investor Thrive Capital as well as Emerson Collective, a venture capital firm founded by Laurene Powell Jobs. SoftBank CEO and super-investor Masayoshi Son is also said to have spoken with Altman and Ive about the venture. Financial Times previously reported that Son wanted Arm (another company he has backed) to be involved in the project. [...] Altman already has his hands in several other AI ventures besides OpenAI. The Information reports that there is no indication yet that OpenAI would be directly involved in the new hardware company.

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.

Intel on Tuesday unveiled its new "Gaudi 3" AI chip that the company claims is over twice as power-efficient and can run AI models one-and-a-half times faster than Nvidia's H100 GPU. "It also comes in different configurations like a bundle of eight Gaudi 3 chips on one motherboard or a card that can slot into existing systems," adds CNBC. From the report: Intel tested the chip on models like Meta's open-source Llama and the Abu Dhabi-backed Falcon. It said Gaudi 3 can help train or deploy models, including Stable Diffusion or OpenAI's Whisper model for speech recognition. Intel says its chips use less power than Nvidia's. Intel said that the new Gaudi 3 chips would be available to customers in the third quarter, and companies including Dell, Hewlett Packard Enterprise, and Supermicro will build systems with the chips. Intel didn't provide a price range for Gaudi 3.

Gaudi 3 is built on a five nanometer process, a relatively recent manufacturing technique, suggesting that the company is using an outside foundry to manufacture the chips. In addition to designing Gaudi 3, Intel also plans to manufacture AI chips, potentially for outside companies, at a new Ohio factory expected to open in 2027 or 2028, CEO Patrick Gelsinger told reporters last month. "We do expect it to be highly competitive" with Nvidia's latest chips, said Das Kamhout, vice president of Xeon software at Intel, on a call with reporters. "From our competitive pricing, our distinctive open integrated network on chip, we're using industry-standard Ethernet. We believe it's a strong offering."

Meta Platforms is planning to launch two small versions of its forthcoming Llama 3 large-language model next week, The Information has reported [non-paywalled link]. From the report: The models will serve as a precursor to the launch of the biggest version of Llama 3, expected this summer. Release of the two small models will likely help spark excitement for the forthcoming Llama 3, which will be coming out roughly a year after Llama 2 launched last July.

It comes as several companies, including Google, Elon Musk's xAI and Mistral, have released open-source LLMs. Meta hopes Llama 3 will catch up with OpenAI's GPT-4, which can answer questions based on images users upload to the chatbot. The biggest version will be multimodal, which means it will be capable of understanding and generating both texts and images. In contrast, the two small models to be released next week won't be multimodal, the employee said.

Gemini 1.5 Pro, Google's most capable generative AI model, is now available in public preview on Vertex AI, Google's enterprise-focused AI development platform. From a report: The company announced the news during its annual Cloud Next conference, which is taking place in Las Vegas this week. Gemini 1.5 Pro launched in February, joining Google's Gemini family of generative AI models. Undoubtedly its headlining feature is the amount of context that it can process: between 128,000 tokens to up to 1 million tokens, where "tokens" refers to subdivided bits of raw data (like the syllables "fan," "tas" and "tic" in the word "fantastic").

One million tokens is equivalent to around 700,000 words or around 30,000 lines of code. It's about four times the amount of data that Anthropic's flagship model, Claude 3, can take as input and about eight times as high as OpenAI's GPT-4 Turbo max context. A model's context, or context window, refers to the initial set of data (e.g. text) the model considers before generating output (e.g. additional text). A simple question -- "Who won the 2020 U.S. presidential election?" -- can serve as context, as can a movie script, email, essay or e-book.

Google Cloud on Tuesday joined AWS and Azure in announcing its first custom-built Arm processor, dubbed Axion. From a report: Based on Arm's Neoverse 2 designs, Google says its Axion instances offer 30% better performance than other Arm-based instances from competitors like AWS and Microsoft and up to 50% better performance and 60% better energy efficiency than comparable X86-based instances. [...] "Technical documentation, including benchmarking and architecture details, will be available later this year," Google spokesperson Amanda Lam said. Maybe the chips aren't even ready yet? After all, it took Google a while to announce Arm-chips in the cloud, especially considering that Google has long built its in-house TPU AI chips and, more recently, custom Arm-based mobile chips for its Pixel phones. AWS launched its Graviton chips back in 2018.

For decades, work has revolved around documents, spreadsheets, and slide decks. Word, Excel, PowerPoint; Pages, Numbers, Keynote; Docs, Sheets, Slides. Now Google is proposing to add another to that triumvirate: an app called Vids that aims to help companies and consumers make collaborative, shareable video more easily than ever. From a report: Google Vids is very much not an app for making beautiful movies... or even not-that-beautiful movies. It's meant more for the sorts of things people do at work: make a pitch, update the team, explain a complicated concept. The main goal is to make everything as easy as possible, says Kristina Behr, Google's VP of product management for the Workspace collaboration apps. "The ethos that we have is, if you can make a slide, you can make a video in Vids," she says. "No video production is required."

Based on what I've seen of Vids so far, it appears to be roughly what you'd get if you transformed Google Slides into a video app. You collect assets from Drive and elsewhere and assemble them in order -- but unlike the column of slides in the Slides sidebar, you're putting together a left-to-right timeline for a video. Then, you can add voiceover or film yourself and edit it all into a finished video. A lot of those finished videos, I suspect, will look like recorded PowerPoint presentations or Meet calls or those now-ubiquitous training videos where a person talks to you from a small circle in the bottom corner while graphics play on the screen. There will be lots of clip art-heavy product promos, I'm sure. But in theory, you can make almost anything in Vids. ou can either do all this by yourself or prompt Google's Gemini AI to make a first draft of the video for you. Gemini can build a storyboard; it can write a script; it can read your script aloud with text-to-speech; it can create images for you to use in the video. The app has a library of stock video and audio that users can add to their own Vids, too.

Japan's largest telecommunications company and the country's biggest newspaper called for speedy legislation to restrain generative AI, saying democracy and social order could collapse if AI is left unchecked. From a report: Nippon Telegraph and Telephone, or NTT, and Yomiuri Shimbun Group Holdings made the proposal in an AI manifesto to be released Monday. Combined with a law passed in March by the European Parliament restricting some uses of AI, the manifesto points to rising concern among American allies about the AI programs U.S.-based companies have been at the forefront of developing.

The Japanese companies' manifesto, while pointing to the potential benefits of generative AI in improving productivity, took a generally skeptical view of the technology. Without giving specifics, it said AI tools have already begun to damage human dignity because the tools are sometimes designed to seize users' attention without regard to morals or accuracy. Unless AI is restrained, "in the worst-case scenario, democracy and social order could collapse, resulting in wars," the manifesto said. It said Japan should take measures immediately in response, including laws to protect elections and national security from abuse of generative AI.

The capability of new AI models will surpass human intelligence by the end of next year [non-paywalled link], so long as the supply of electricity and hardware can satisfy the demands of the increasingly powerful technology, according to Elon Musk. From a report: "My guess is that we'll have AI that is smarter than any one human probably around the end of next year," said the billionaire entrepreneur, who runs Tesla, X and SpaceX. Within the next five years, the capabilities of AI will probably exceed that of all humans, Musk predicted on Monday during an interview on X with Nicolai Tangen, the chief executive of Norges Bank Investment Management.

Musk has been consistently bullish on the development of so-called artificial general intelligence, AI tools so powerful they can beat the most capable individuals in any domain. But Monday's prediction is ahead of schedules he and others have previously forecast. Last year, he predicted "full" AGI would be achieved by 2029. Some of Musk's boldest predictions, such as rolling out self-driving Teslas and landing a rocket on Mars, have not yet been fulfilled. A number of AI breakthroughs over the past 18 months, including the launch of video generation tools and more capable chatbots, have pushed the frontier of AI forward faster than expected. Demis Hassabis, the co-founder of Google's DeepMind, predicted earlier this year that AGI could be achieved by 2030.

The pace of development has been slowed by a bottleneck in the supply of microchips, particularly those produced by Nvidia, which are essential for training and running AI models. Those constraints were easing, Musk said, but new models are now testing other data centre equipment and the electricity grid. "Last year it was chip constrained ... people could not get enough Nvidia chips. This year it's transitioning to a voltage transformer supply. In a year or two [the constraint is] just electricity supply," he said.

An anonymous reader shares a report: Microsoft is getting ready to fully unveil its vision for "AI PCs" next month at an event in Seattle. Sources familiar with Microsoft's plans tell The Verge that Microsoft is confident that a round of new Arm-powered Windows laptops will beat Apple's M3-powered MacBook Air both in CPU performance and AI-accelerated tasks. After years of failed promises from Qualcomm, Microsoft believes the upcoming Snapdragon X Elite processors will finally offer the performance it has been looking for to push Windows on Arm much more aggressively. Microsoft is now betting big on Qualcomm's upcoming Snapdragon X Elite processors, which will ship in a variety of Windows laptops this year and Microsoft's latest consumer-focused Surface hardware.

Microsoft is so confident in these new Qualcomm chips that it's planning a number of demos that will show how these processors will be faster than an M3 MacBook Air for CPU tasks, AI acceleration, and even app emulation. Microsoft claims, in internal documents seen by The Verge, that these new Windows AI PCs will have "faster app emulation than Rosetta 2" -- the application compatibility layer that Apple uses on its Apple Silicon Macs to translate apps compiled for 64-bit Intel processors to Apple's own processors.

App emulation has been a big problem for Windows on Arm over the past decade, but Microsoft did deliver x64 app emulation for Windows 11 more than two years ago. This helps ensure apps can run on Windows on Arm devices when there isn't a native ARM64 version. Native Arm apps are key for improved performance on upcoming Windows on Arm laptops, and Google has just recently released its own ARM64 version of Chrome ready for these upcoming devices.