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On Wednesday, Axios broke the news that OpenAI had signed deals with The Atlantic and Vox Media that will allow the ChatGPT maker to license their editorial content to further train its language models. But some of the publications' writers—and the unions that represent them—were surprised by the announcements and aren't happy about it. Already, two unions have released statements expressing "alarm" and "concern."

"The unionized members of The Atlantic Editorial and Business and Technology units are deeply troubled by the opaque agreement The Atlantic has made with OpenAI," reads a statement from the Atlantic union. "And especially by management's complete lack of transparency about what the agreement entails and how it will affect our work."

The Vox Union—which represents The Verge, SB Nation, and Vulture, among other publications—reacted in similar fashion, writing in a statement, "Today, members of the Vox Media Union ... were informed without warning that Vox Media entered into a 'strategic content and product partnership' with OpenAI. As both journalists and workers, we have serious concerns about this partnership, which we believe could adversely impact members of our union, not to mention the well-documented ethical and environmental concerns surrounding the use of generative AI."

Enlarge / The Google "G" logo surrounded by whimsical characters, all of which look stunned and surprised. (credit: Google)

On Thursday, Google capped off a rough week of providing inaccurate and sometimes dangerous answers through its experimental AI Overview feature by authoring a follow-up blog post titled, "AI Overviews: About last week." In the post, attributed to Google VP Liz Reid, head of Google Search, the firm formally acknowledged issues with the feature and outlined steps taken to improve a system that appears flawed by design, even if it doesn't realize it is admitting it.

To recap, the AI Overview feature—which the company showed off at Google I/O a few weeks ago—aims to provide search users with summarized answers to questions by using an AI model integrated with Google's web ranking systems. Right now, it's an experimental feature that is not active for everyone, but when a participating user searches for a topic, they might see an AI-generated answer at the top of the results, pulled from highly ranked web content and summarized by an AI model.

While Google claims this approach is "highly effective" and on par with its Featured Snippets in terms of accuracy, the past week has seen numerous examples of the AI system generating bizarre, incorrect, or even potentially harmful responses, as we detailed in a recent feature where Ars reporter Kyle Orland replicated many of the unusual outputs.

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On Thursday, several major tech companies, including Google, Intel, Microsoft, Meta, AMD, Hewlett-Packard Enterprise, Cisco, and Broadcom, announced the formation of the Ultra Accelerator Link (UALink) Promoter Group to develop a new interconnect standard for AI accelerator chips in data centers. The group aims to create an alternative to Nvidia's proprietary NVLink interconnect technology, which links together multiple servers that power today's AI applications like ChatGPT.

The beating heart of AI these days lies in GPUs, which can perform massive numbers of matrix multiplications—necessary for running neural network architecture—in parallel. But one GPU often isn't enough for complex AI systems. NVLink can connect multiple AI accelerator chips within a server or across multiple servers. These interconnects enable faster data transfer and communication between the accelerators, allowing them to work together more efficiently on complex tasks like training large AI models.

This linkage is a key part of any modern AI data center system, and whoever controls the link standard can effectively dictate which hardware the tech companies will use. Along those lines, the UALink group seeks to establish an open standard that allows multiple companies to contribute and develop AI hardware advancements instead of being locked into Nvidia's proprietary ecosystem. This approach is similar to other open standards, such as Compute Express Link (CXL)—created by Intel in 2019—which provides high-speed, high-capacity connections between CPUs and devices or memory in data centers.

Enlarge / Helen Toner, former OpenAI board member, speaks during Vox Media's 2023 Code Conference at The Ritz-Carlton, Laguna Niguel on September 27, 2023. (credit: Getty Images)

In a recent interview on "The Ted AI Show" podcast, former OpenAI board member Helen Toner said the OpenAI board was unaware of the existence of ChatGPT until they saw it on Twitter. She also revealed details about the company's internal dynamics and the events surrounding CEO Sam Altman's surprise firing and subsequent rehiring last November.

OpenAI released ChatGPT publicly on November 30, 2022, and its massive surprise popularity set OpenAI on a new trajectory, shifting focus from being an AI research lab to a more consumer-facing tech company.

"When ChatGPT came out in November 2022, the board was not informed in advance about that. We learned about ChatGPT on Twitter," Toner said on the podcast.

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On Monday, OpenAI announced the formation of a new "Safety and Security Committee" to oversee risk management for its projects and operations. The announcement comes as the company says it has "recently begun" training its next frontier model, which it expects to bring the company closer to its goal of achieving artificial general intelligence (AGI), though some critics say AGI is farther off than we might think. It also comes as a reaction to two weeks of public setbacks for the company.

Whether the aforementioned new frontier model is intended to be GPT-5 or a step beyond that is currently unknown. In the AI industry, "frontier model" is a term for a new AI system designed to push the boundaries of current capabilities. And "AGI" refers to a hypothetical AI system with human-level abilities to perform novel, general tasks beyond its training data (unlike narrow AI, which is trained for specific tasks).

Meanwhile, the new Safety and Security Committee, led by OpenAI directors Bret Taylor (chair), Adam D'Angelo, Nicole Seligman, and Sam Altman (CEO), will be responsible for making recommendations about AI safety to the full company board of directors. In this case, "safety" partially means the usual "we won't let the AI go rogue and take over the world," but it also includes a broader set of "processes and safeguards" that the company spelled out in a May 21 safety update related to alignment research, protecting children, upholding election integrity, assessing societal impacts, and implementing security measures.

Enlarge / Nathan Benaich of Air Street Capital delivers the opening presentation on the state of AI at EmTech Digital 2024 on May 22, 2024. (credit: Benj Edwards)

CAMBRIDGE, Massachusetts—On Wednesday, AI enthusiasts and experts gathered to hear a series of presentations about the state of AI at EmTech Digital 2024 on the Massachusetts Institute of Technology's campus. The event was hosted by the publication MIT Technology Review. The overall consensus is that generative AI is still in its very early stages—with policy, regulations, and social norms still being established—and its growth is likely to continue into the future.

I was there to check the event out. MIT is the birthplace of many tech innovations—including the first action-oriented computer video game—among others, so it felt fitting to hear talks about the latest tech craze in the same building that hosts MIT's Media Lab on its sprawling and lush campus.

EmTech's speakers included AI researchers, policy experts, critics, and company spokespeople. A corporate feel pervaded the event due to strategic sponsorships, but it was handled in a low-key way that matches the level-headed tech coverage coming out of MIT Technology Review. After each presentation, MIT Technology Review staff—such as Editor-in-Chief Mat Honan and Senior Reporter Melissa Heikkilä—did a brief sit-down interview with the speaker, pushing back on some points and emphasizing others. Then the speaker took a few audience questions if time allowed.

Enlarge / A photo of Gordon Bell speaking at the annual PC Forum in Palm Springs, California, March 1989. (credit: Ann E. Yow-Dyson/Getty Images)

Computer pioneer Gordon Bell, who as an early employee of Digital Equipment Corporation (DEC) played a key role in the development of several influential minicomputer systems and also co-founded the first major computer museum, passed away on Friday, according to Bell Labs veteran John Mashey. Mashey announced Bell's passing in a social media post on Tuesday morning.

"I am very sad to report [the] death May 17 at age 89 of Gordon Bell, famous computer pioneer, a founder of Computer Museum in Boston, and a force behind the @ComputerHistory here in Silicon Valley, and good friend since the 1980s," wrote Mashey in his announcement. "He succumbed to aspiration pneumonia in Coronado, CA."

Bell was a pivotal figure in the history of computing and a notable champion of tech history, having founded Boston's Computer Museum in 1979, which later became the heart of the Computer History Museum in Mountain View, with his wife Gwen Bell. He was also the namesake of the ACM's prestigious Gordon Bell Prize, created to spur innovations in parallel processing.

Enlarge / A screenshot of Microsoft's new "Recall" feature in action. (credit: Microsoft)

At a Build conference event on Monday, Microsoft revealed a new AI-powered feature called "Recall" for Copilot+ PCs that will allow Windows 11 users to search and retrieve their past activities on their PC. To make it work, Recall records everything users do on their PC, including activities in apps, communications in live meetings, and websites visited for research. Despite encryption and local storage, the new feature raises privacy concerns for certain Windows users.

"Recall uses Copilot+ PC advanced processing capabilities to take images of your active screen every few seconds," Microsoft says on its website. "The snapshots are encrypted and saved on your PC’s hard drive. You can use Recall to locate the content you have viewed on your PC using search or on a timeline bar that allows you to scroll through your snapshots."

By performing a Recall action, users can access a snapshot from a specific time period, providing context for the event or moment they are searching for. It also allows users to search through teleconference meetings they've participated in and videos watched using an AI-powered feature that transcribes and translates speech.

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Since the launch of its latest AI language model, GPT-4o, OpenAI has found itself on the defensive over the past week due to a string of bad news, rumors, and ridicule circulating on traditional and social media. The negative attention is potentially a sign that OpenAI has entered a new level of public visibility—and is more prominently receiving pushback to its AI approach beyond what it has seen from tech pundits and government regulators.

OpenAI's rough week started last Monday when the company previewed a flirty AI assistant with a voice seemingly inspired by Scarlett Johansson from the 2013 film Her. OpenAI CEO Sam Altman alluded to the film himself on X just before the event, and we had previously made that comparison with an earlier voice interface for ChatGPT that launched in September 2023.

While that September update included a voice called "Sky" that some have said sounds like Johansson, it was GPT-4o's seemingly lifelike new conversational interface, complete with laughing and emotionally charged tonal shifts, that led to a widely circulated Daily Show segment ridiculing the demo for its perceived flirty nature. Next, a Saturday Night Live joke reinforced an implied connection to Johansson's voice.

Enlarge / Still images taken from videos generated by Google Veo. (credit: Google / Benj Edwards)

On Tuesday at Google I/O 2024, Google announced Veo, a new AI video-synthesis model that can create HD videos from text, image, or video prompts, similar to OpenAI's Sora. It can generate 1080p videos lasting over a minute and edit videos from written instructions, but it has not yet been released for broad use.

Veo reportedly includes the ability to edit existing videos using text commands, maintain visual consistency across frames, and generate video sequences lasting up to and beyond 60 seconds from a single prompt or a series of prompts that form a narrative. The company says it can generate detailed scenes and apply cinematic effects such as time-lapses, aerial shots, and various visual styles

Since the launch of DALL-E 2 in April 2022, we've seen a parade of new image synthesis and video synthesis models that aim to allow anyone who can type a written description to create a detailed image or video. While neither technology has been fully refined, both AI image and video generators have been steadily growing more capable.

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Ars Technica AI Reporter and tech historian Benj Edwards has co-written a book on the Virtual Boy with Dr. Jose Zagal. In this exclusive excerpt, Benj and Jose take you back to Nintendo of the early '90s, where a unique 3D display technology captured the imagination of legendary designer Gunpei Yokoi and set the stage for a daring, if ultimately ill-fated, foray into the world of stereoscopic gaming.

Seeing Red: Nintendo's Virtual Boy is now available for purchase in print and ebook formats.

A full list of references can be found in the book.

Nearly 30 years after the launch of the Virtual Boy, not much is publicly known about how, exactly, Nintendo came to be interested in developing what would ultimately become its ill-fated console. Was Nintendo committed to VR as a future for video games and looking for technological solutions that made business sense? Or was the Virtual Boy primarily the result of Nintendo going “off script” and seizing a unique, and possibly risky, opportunity that presented itself? The answer is probably a little bit of both.

As it turns out, the Virtual Boy was not an anomaly in Nintendo’s history with video game platforms. Rather, it was the result of a deliberate strategy that was consistent with Nintendo’s way of doing things and informed by its lead creator Gunpei Yokoi’s design philosophy.

Enlarge / An image Ilya Sutskever tweeted with this OpenAI resignation announcement. From left to right: New OpenAI Chief Scientist Jakub Pachocki, President Greg Brockman, Sutskever, CEO Sam Altman, and CTO Mira Murati. (credit: Ilya Sutskever / X)

On Tuesday evening, OpenAI Chief Scientist Ilya Sutskever announced that he is leaving the company he co-founded, six months after he participated in the coup that temporarily ousted OpenAI CEO Sam Altman. Jan Leike, a fellow member of Sutskever's Superalignment team, is reportedly resigning with him.

"After almost a decade, I have made the decision to leave OpenAI," Sutskever tweeted. "The company’s trajectory has been nothing short of miraculous, and I’m confident that OpenAI will build AGI that is both safe and beneficial under the leadership of @sama, @gdb, @miramurati and now, under the excellent research leadership of @merettm. It was an honor and a privilege to have worked together, and I will miss everyone dearly."

Sutskever has been with the company since its founding in 2015 and is widely seen as one of the key engineers behind some of OpenAI's biggest technical breakthroughs. As a former OpenAI board member, he played a key role in the removal of Sam Altman as CEO in the shocking firing last November. While it later emerged that Altman's firing primarily stemmed from a power struggle with former board member Helen Toner, Sutskever sided with Toner and personally delivered the news to Altman that he was being fired on behalf of the board.

Enlarge / A video still of Project Astra demo at the Google I/O conference keynote in Mountain View on May 14, 2024. (credit: Google)

Just one day after OpenAI revealed GPT-4o, which it bills as being able to understand what's taking place in a video feed and converse about it, Google announced Project Astra, a research prototype that features similar video comprehension capabilities. It was announced by Google DeepMind CEO Demis Hassabis on Tuesday at the Google I/O conference keynote in Mountain View, California.

Hassabis called Astra "a universal agent helpful in everyday life." During a demonstration, the research model showcased its capabilities by identifying sound-producing objects, providing creative alliterations, explaining code on a monitor, and locating misplaced items. The AI assistant also exhibited its potential in wearable devices, such as smart glasses, where it could analyze diagrams, suggest improvements, and generate witty responses to visual prompts.

Google says that Astra uses the camera and microphone on a user's device to provide assistance in everyday life. By continuously processing and encoding video frames and speech input, Astra creates a timeline of events and caches the information for quick recall. The company says that this enables the AI to identify objects, answer questions, and remember things it has seen that are no longer in the camera's frame.

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On Monday, OpenAI employee William Fedus confirmed on X that a mysterious chart-topping AI chatbot known as "gpt-chatbot" that had been undergoing testing on LMSYS's Chatbot Arena and frustrating experts was, in fact, OpenAI's newly announced GPT-4o AI model. He also revealed that GPT-4o had topped the Chatbot Arena leaderboard, achieving the highest documented score ever.

"GPT-4o is our new state-of-the-art frontier model. We’ve been testing a version on the LMSys arena as im-also-a-good-gpt2-chatbot," Fedus tweeted.

Chatbot Arena is a website where visitors converse with two random AI language models side by side without knowing which model is which, then choose which model gives the best response. It's a perfect example of vibe-based AI benchmarking, as AI researcher Simon Willison calls it.

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On Monday, OpenAI debuted GPT-4o (o for "omni"), a major new AI model that can ostensibly converse using speech in real time, reading emotional cues and responding to visual input. It operates faster than OpenAI's previous best model, GPT-4 Turbo, and will be free for ChatGPT users and available as a service through API, rolling out over the next few weeks, OpenAI says.

OpenAI revealed the new audio conversation and vision comprehension capabilities in a YouTube livestream titled "OpenAI Spring Update," presented by OpenAI CTO Mira Murati and employees Mark Chen and Barret Zoph that included live demos of GPT-4o in action.

OpenAI claims that GPT-4o responds to audio inputs in about 320 milliseconds on average, which is similar to human response times in conversation, according to a 2009 study, and much shorter than the typical 2–3 second lag experienced with previous models. With GPT-4o, OpenAI says it trained a brand-new AI model end-to-end using text, vision, and audio in a way that all inputs and outputs "are processed by the same neural network."