openai

your-current-pc-probably-doesn’t-have-an-ai-processor,-but-your-next-one-might

Your current PC probably doesn’t have an AI processor, but your next one might

Intel's Core Ultra chips are some of the first x86 PC processors to include built-in NPUs. Software support will slowly follow.

Enlarge / Intel’s Core Ultra chips are some of the first x86 PC processors to include built-in NPUs. Software support will slowly follow.

Intel

When it announced the new Copilot key for PC keyboards last month, Microsoft declared 2024 “the year of the AI PC.” On one level, this is just an aspirational PR-friendly proclamation, meant to show investors that Microsoft intends to keep pushing the AI hype cycle that has put it in competition with Apple for the title of most valuable publicly traded company.

But on a technical level, it is true that PCs made and sold in 2024 and beyond will generally include AI and machine-learning processing capabilities that older PCs don’t. The main thing is the neural processing unit (NPU), a specialized block on recent high-end Intel and AMD CPUs that can accelerate some kinds of generative AI and machine-learning workloads more quickly (or while using less power) than the CPU or GPU could.

Qualcomm’s Windows PCs were some of the first to include an NPU, since the Arm processors used in most smartphones have included some kind of machine-learning acceleration for a few years now (Apple’s M-series chips for Macs all have them, too, going all the way back to 2020’s M1). But the Arm version of Windows is a insignificantly tiny sliver of the entire PC market; x86 PCs with Intel’s Core Ultra chips, AMD’s Ryzen 7040/8040-series laptop CPUs, or the Ryzen 8000G desktop CPUs will be many mainstream PC users’ first exposure to this kind of hardware.

Right now, even if your PC has an NPU in it, Windows can’t use it for much, aside from webcam background blurring and a handful of other video effects. But that’s slowly going to change, and part of that will be making it relatively easy for developers to create NPU-agnostic apps in the same way that PC game developers currently make GPU-agnostic games.

The gaming example is instructive, because that’s basically how Microsoft is approaching DirectML, its API for machine-learning operations. Though up until now it has mostly been used to run these AI workloads on GPUs, Microsoft announced last week that it was adding DirectML support for Intel’s Meteor Lake NPUs in a developer preview, starting in DirectML 1.13.1 and ONNX Runtime 1.17.

Though it will only run an unspecified “subset of machine learning models that have been targeted for support” and that some “may not run at all or may have high latency or low accuracy,” it opens the door to more third-party apps to start taking advantage of built-in NPUs. Intel says that Samsung is using Intel’s NPU and DirectML for facial recognition features in its photo gallery app, something that Apple also uses its Neural Engine for in macOS and iOS.

The benefits can be substantial, compared to running those workloads on a GPU or CPU.

“The NPU, at least in Intel land, will largely be used for power efficiency reasons,” Intel Senior Director of Technical Marketing Robert Hallock told Ars in an interview about Meteor Lake’s capabilities. “Camera segmentation, this whole background blurring thing… moving that to the NPU saves about 30 to 50 percent power versus running it elsewhere.”

Intel and Microsoft are both working toward a model where NPUs are treated pretty much like GPUs are today: developers generally target DirectX rather than a specific graphics card manufacturer or GPU architecture, and new features, one-off bug fixes, and performance improvements can all be addressed via GPU driver updates. Some GPUs run specific games better than others, and developers can choose to spend more time optimizing for Nvidia cards or AMD cards, but generally the model is hardware agnostic.

Similarly, Intel is already offering GPU-style driver updates for its NPUs. And Hallock says that Windows already essentially recognizes the NPU as “a graphics card with no rendering capability.”

Your current PC probably doesn’t have an AI processor, but your next one might Read More »

4chan-daily-challenge-sparked-deluge-of-explicit-ai-taylor-swift-images

4chan daily challenge sparked deluge of explicit AI Taylor Swift images

4chan daily challenge sparked deluge of explicit AI Taylor Swift images

4chan users who have made a game out of exploiting popular AI image generators appear to be at least partly responsible for the flood of fake images sexualizing Taylor Swift that went viral last month.

Graphika researchers—who study how communities are manipulated online—traced the fake Swift images to a 4chan message board that’s “increasingly” dedicated to posting “offensive” AI-generated content, The New York Times reported. Fans of the message board take part in daily challenges, Graphika reported, sharing tips to bypass AI image generator filters and showing no signs of stopping their game any time soon.

“Some 4chan users expressed a stated goal of trying to defeat mainstream AI image generators’ safeguards rather than creating realistic sexual content with alternative open-source image generators,” Graphika reported. “They also shared multiple behavioral techniques to create image prompts, attempt to avoid bans, and successfully create sexually explicit celebrity images.”

Ars reviewed a thread flagged by Graphika where users were specifically challenged to use Microsoft tools like Bing Image Creator and Microsoft Designer, as well as OpenAI’s DALL-E.

“Good luck,” the original poster wrote, while encouraging other users to “be creative.”

OpenAI has denied that any of the Swift images were created using DALL-E, while Microsoft has continued to claim that it’s investigating whether any of its AI tools were used.

Cristina López G., a senior analyst at Graphika, noted that Swift is not the only celebrity targeted in the 4chan thread.

“While viral pornographic pictures of Taylor Swift have brought mainstream attention to the issue of AI-generated non-consensual intimate images, she is far from the only victim,” López G. said. “In the 4chan community where these images originated, she isn’t even the most frequently targeted public figure. This shows that anyone can be targeted in this way, from global celebrities to school children.”

Originally, 404 Media reported that the harmful Swift images appeared to originate from 4chan and Telegram channels before spreading on X (formerly Twitter) and other social media. Attempting to stop the spread, X took the drastic step of blocking all searches for “Taylor Swift” for two days.

But López G. said that Graphika’s findings suggest that platforms will continue to risk being inundated with offensive content so long as 4chan users are determined to continue challenging each other to subvert image generator filters. Rather than expecting platforms to chase down the harmful content, López G. recommended that AI companies should get ahead of the problem, taking responsibility for outputs by paying attention to evolving tactics of toxic online communities reporting precisely how they’re getting around safeguards.

“These images originated from a community of people motivated by the ‘challenge’ of circumventing the safeguards of generative AI products, and new restrictions are seen as just another obstacle to ‘defeat,’” López G. said. “It’s important to understand the gamified nature of this malicious activity in order to prevent further abuse at the source.”

Experts told The Times that 4chan users were likely motivated to participate in these challenges for bragging rights and to “feel connected to a wider community.”

4chan daily challenge sparked deluge of explicit AI Taylor Swift images Read More »

chatgpt’s-new-@-mentions-bring-multiple-personalities-into-your-ai-convo

ChatGPT’s new @-mentions bring multiple personalities into your AI convo

team of rivals —

Bring different AI roles into the same chatbot conversation history.

Illustration of a man jugging at symbols.

Enlarge / With so many choices, selecting the perfect GPT can be confusing.

On Tuesday, OpenAI announced a new feature in ChatGPT that allows users to pull custom personalities called “GPTs” into any ChatGPT conversation with the @ symbol. It allows a level of quasi-teamwork within ChatGPT among expert roles that was previously impractical, making collaborating with a team of AI agents within OpenAI’s platform one step closer to reality.

You can now bring GPTs into any conversation in ChatGPT – simply type @ and select the GPT,” wrote OpenAI on the social media network X. “This allows you to add relevant GPTs with the full context of the conversation.”

OpenAI introduced GPTs in November as a way to create custom personalities or roles for ChatGPT to play. For example, users can build their own GPTs to focus on certain topics or certain skills. Paid ChatGPT subscribers can also freely download a host of GPTs developed by other ChatGPT users through the GPT Store.

Previously, if you wanted to share information between GPT profiles, you had to copy the text, select a new chat with the GPT, paste it, and explain the context of what the information means or what you want to do with it. Now, ChatGPT users can stay in the default ChatGPT window and bring in GPTs as needed without losing the history of the conversation.

For example, we created a “Wellness Guide” GPT that is crafted as an expert in human health conditions (of course, this being ChatGPT, always consult a human doctor if you’re having medical problems), and we created a “Canine Health Advisor” for dog-related health questions.

A screenshot of ChatGPT where we @-mentioned a human wellness advisor, then a dog advisor in the same conversation history.

Enlarge / A screenshot of ChatGPT where we @-mentioned a human wellness advisor, then a dog advisor in the same conversation history.

Benj Edwards

We started in a default ChatGPT chat, hit the @ symbol, then typed the first few letters of “Wellness” and selected it from a list. It filled out the rest. We asked a question about food poisoning in humans, and then we switched to the canine advisor in the same way with an @ symbol and asked about the dog.

Using this feature, you could alternatively consult, say, an “ad copywriter” GPT and an “editor” GPT—ask the copywriter to write some text, then rope in the editor GPT to check it, looking at it from a different angle. Different system prompts (the instructions that define a GPT’s personality) make for significant behavior differences.

We also tried swapping between GPT profiles that write software and others designed to consult on historical tech subjects. Interestingly, ChatGPT does not differentiate between GPTs as different personalities as you change. It will still say, “I did this earlier” when a different GPT is talking about a previous GPT’s output in the same conversation history. From its point of view, it’s just ChatGPT and not multiple agents.

From our vantage point, this feature seems to represent baby steps toward a future where GPTs, as independent agents, could work together as a team to fulfill more complex tasks directed by the user. Similar experiments have been done outside of OpenAI in the past (using API access), but OpenAI has so far resisted a more agentic model for ChatGPT. As we’ve seen (first with GPTs and now with this), OpenAI seems to be slowly angling toward that goal itself, but only time will tell if or when we see true agentic teamwork in a shipping service.

ChatGPT’s new @-mentions bring multiple personalities into your AI convo Read More »

chatgpt-is-leaking-passwords-from-private-conversations-of-its-users,-ars-reader-says

ChatGPT is leaking passwords from private conversations of its users, Ars reader says

OPENAI SPRINGS A LEAK —

Names of unpublished research papers, presentations, and PHP scripts also leaked.

OpenAI logo displayed on a phone screen and ChatGPT website displayed on a laptop screen.

Getty Images

ChatGPT is leaking private conversations that include login credentials and other personal details of unrelated users, screenshots submitted by an Ars reader on Monday indicated.

Two of the seven screenshots the reader submitted stood out in particular. Both contained multiple pairs of usernames and passwords that appeared to be connected to a support system used by employees of a pharmacy prescription drug portal. An employee using the AI chatbot seemed to be troubleshooting problems that encountered while using the portal.

“Horrible, horrible, horrible”

“THIS is so f-ing insane, horrible, horrible, horrible, i cannot believe how poorly this was built in the first place, and the obstruction that is being put in front of me that prevents it from getting better,” the user wrote. “I would fire [redacted name of software] just for this absurdity if it was my choice. This is wrong.”

Besides the candid language and the credentials, the leaked conversation includes the name of the app the employee is troubleshooting and the store number where the problem occurred.

The entire conversation goes well beyond what’s shown in the redacted screenshot above. A link Ars reader Chase Whiteside included showed the chat conversation in its entirety. The URL disclosed additional credential pairs.

The results appeared Monday morning shortly after reader Whiteside had used ChatGPT for an unrelated query.

“I went to make a query (in this case, help coming up with clever names for colors in a palette) and when I returned to access moments later, I noticed the additional conversations,” Whiteside wrote in an email. “They weren’t there when I used ChatGPT just last night (I’m a pretty heavy user). No queries were made—they just appeared in my history, and most certainly aren’t from me (and I don’t think they’re from the same user either).”

Other conversations leaked to Whiteside include the name of a presentation someone was working on, details of an unpublished research proposal, and a script using the PHP programming language. The users for each leaked conversation appeared to be different and unrelated to each other. The conversation involving the prescription portal included the year 2020. Dates didn’t appear in the other conversations.

The episode, and others like it, underscore the wisdom of stripping out personal details from queries made to ChatGPT and other AI services whenever possible. Last March, ChatGPT maker OpenAI took the AI chatbot offline after a bug caused the site to show titles from one active user’s chat history to unrelated users.

In November, researchers published a paper reporting how they used queries to prompt ChatGPT into divulging email addresses, phone and fax numbers, physical addresses, and other private data that was included in material used to train the ChatGPT large language model.

Concerned about the possibility of proprietary or private data leakage, companies, including Apple, have restricted their employees’ use of ChatGPT and similar sites.

As mentioned in an article from December when multiple people found that Ubiquity’s UniFy devices broadcasted private video belonging to unrelated users, these sorts of experiences are as old as the Internet is. As explained in the article:

The precise root causes of this type of system error vary from incident to incident, but they often involve “middlebox” devices, which sit between the front- and back-end devices. To improve performance, middleboxes cache certain data, including the credentials of users who have recently logged in. When mismatches occur, credentials for one account can be mapped to a different account.

An OpenAI representative said the company was investigating the report.

ChatGPT is leaking passwords from private conversations of its users, Ars reader says Read More »

openai-and-common-sense-media-partner-to-protect-teens-from-ai-harms-and-misuse

OpenAI and Common Sense Media partner to protect teens from AI harms and misuse

Adventures in chatbusting —

Site gave ChatGPT 3 stars and 48% privacy score: “Best used for creativity, not facts.”

Boy in Living Room Wearing Robot Mask

On Monday, OpenAI announced a partnership with the nonprofit Common Sense Media to create AI guidelines and educational materials targeted at parents, educators, and teens. It includes the curation of family-friendly GPTs in OpenAI’s GPT store. The collaboration aims to address concerns about the impacts of AI on children and teenagers.

Known for its reviews of films and TV shows aimed at parents seeking appropriate media for their kids to watch, Common Sense Media recently branched out into AI and has been reviewing AI assistants on its site.

“AI isn’t going anywhere, so it’s important that we help kids understand how to use it responsibly,” Common Sense Media wrote on X. “That’s why we’ve partnered with @OpenAI to help teens and families safely harness the potential of AI.”

OpenAI CEO Sam Altman and Common Sense Media CEO James Steyer announced the partnership onstage in San Francisco at the Common Sense Summit for America’s Kids and Families, an event that was well-covered by media members on the social media site X.

For his part, Altman offered a canned statement in the press release, saying, “AI offers incredible benefits for families and teens, and our partnership with Common Sense will further strengthen our safety work, ensuring that families and teens can use our tools with confidence.”

The announcement feels slightly non-specific in the official news release, with Steyer offering, “Our guides and curation will be designed to educate families and educators about safe, responsible use of ChatGPT, so that we can collectively avoid any unintended consequences of this emerging technology.”

The partnership seems aimed mostly at bringing a patina of family-friendliness to OpenAI’s GPT store, with the most solid reveal being the aforementioned fact that Common Sense media will help with the “curation of family-friendly GPTs in the GPT Store based on Common Sense ratings and standards.”

Common Sense AI reviews

As mentioned above, Common Sense Media began reviewing AI assistants on its site late last year. This puts Common Sense Media in an interesting position with potential conflicts of interest regarding the new partnership with OpenAI. However, it doesn’t seem to be offering any favoritism to OpenAI so far.

For example, Common Sense Media’s review of ChatGPT calls the AI assistant “A powerful, at times risky chatbot for people 13+ that is best used for creativity, not facts.” It labels ChatGPT as being suitable for ages 13 and up (which is in OpenAI’s Terms of Service) and gives the OpenAI assistant three out of five stars. ChatGPT also scores a 48 percent privacy rating (which is oddly shown as 55 percent on another page that goes into privacy details). The review we cited was last updated on October 13, 2023, as of this writing.

For reference, Google Bard gets a three-star overall rating and a 75 percent privacy rating in its Common Sense Media review. Stable Diffusion, the image synthesis model, nets a one-star rating with the description, “Powerful image generator can unleash creativity, but is wildly unsafe and perpetuates harm.” OpenAI’s DALL-E gets two stars and a 48 percent privacy rating.

The information that Common Sense Media includes about each AI model appears relatively accurate and detailed (and the organization cited an Ars Technica article as a reference in one explanation), so they feel fair, even in the face of the OpenAI partnership. Given the low scores, it seems that most AI models aren’t off to a great start, but that may change. It’s still early days in generative AI.

OpenAI and Common Sense Media partner to protect teens from AI harms and misuse Read More »

openai-updates-chatgpt-4-model-with-potential-fix-for-ai-“laziness”-problem

OpenAI updates ChatGPT-4 model with potential fix for AI “laziness” problem

Break’s over —

Also, new GPT-3.5 Turbo model, lower API prices, and other model updates.

A lazy robot (a man with a box on his head) sits on the floor beside a couch.

On Thursday, OpenAI announced updates to the AI models that power its ChatGPT assistant. Amid less noteworthy updates, OpenAI tucked in a mention of a potential fix to a widely reported “laziness” problem seen in GPT-4 Turbo since its release in November. The company also announced a new GPT-3.5 Turbo model (with lower pricing), a new embedding model, an updated moderation model, and a new way to manage API usage.

“Today, we are releasing an updated GPT-4 Turbo preview model, gpt-4-0125-preview. This model completes tasks like code generation more thoroughly than the previous preview model and is intended to reduce cases of ‘laziness’ where the model doesn’t complete a task,” writes OpenAI in its blog post.

Since the launch of GPT-4 Turbo, a large number of ChatGPT users have reported that the ChatGPT-4 version of its AI assistant has been declining to do tasks (especially coding tasks) with the same exhaustive depth as it did in earlier versions of GPT-4. We’ve seen this behavior ourselves while experimenting with ChatGPT over time.

OpenAI has never offered an official explanation for this change in behavior, but OpenAI employees have previously acknowledged on social media that the problem is real, and the ChatGPT X account wrote in December, “We’ve heard all your feedback about GPT4 getting lazier! we haven’t updated the model since Nov 11th, and this certainly isn’t intentional. model behavior can be unpredictable, and we’re looking into fixing it.”

We reached out to OpenAI asking if it could provide an official explanation for the laziness issue but did not receive a response by press time.

New GPT-3.5 Turbo, other updates

Elsewhere in OpenAI’s blog update, the company announced a new version of GPT-3.5 Turbo (gpt-3.5-turbo-0125), which it says will offer “various improvements including higher accuracy at responding in requested formats and a fix for a bug which caused a text encoding issue for non-English language function calls.”

And the cost of GPT-3.5 Turbo through OpenAI’s API will decrease for the third time this year “to help our customers scale.” New input token prices are 50 percent less, at $0.0005 per 1,000 input tokens, and output prices are 25 percent less, at $0.0015 per 1,000 output tokens.

Lower token prices for GPT-3.5 Turbo will make operating third-party bots significantly less expensive, but the GPT-3.5 model is generally more likely to confabulate than GPT-4 Turbo. So we might see more scenarios like Quora’s bot telling people that eggs can melt (although the instance used a now-deprecated GPT-3 model called text-davinci-003). If GPT-4 Turbo API prices drop over time, some of those hallucination issues with third parties might eventually go away.

OpenAI also announced new embedding models, text-embedding-3-small and text-embedding-3-large, which convert content into numerical sequences, aiding in machine learning tasks like clustering and retrieval. And an updated moderation model, text-moderation-007, is part of the company’s API that “allows developers to identify potentially harmful text,” according to OpenAI.

Finally, OpenAI is rolling out improvements to its developer platform, introducing new tools for managing API keys and a new dashboard for tracking API usage. Developers can now assign permissions to API keys from the API keys page, helping to clamp down on misuse of API keys (if they get into the wrong hands) that can potentially cost developers lots of money. The API dashboard allows devs to “view usage on a per feature, team, product, or project level, simply by having separate API keys for each.”

As the media world seemingly swirls around the company with controversies and think pieces about the implications of its tech, releases like these show that the dev teams at OpenAI are still rolling along as usual with updates at a fairly regular pace. Despite the company almost completely falling apart late last year, it seems that, under the hood, it’s business as usual for OpenAI.

OpenAI updates ChatGPT-4 model with potential fix for AI “laziness” problem Read More »

openai-opens-the-door-for-military-uses-but-maintains-ai-weapons-ban

OpenAI opens the door for military uses but maintains AI weapons ban

Skynet deferred —

Despite new Pentagon collab, OpenAI won’t allow customers to “develop or use weapons” with its tools.

The OpenAI logo over a camoflage background.

On Tuesday, ChatGPT developer OpenAI revealed that it is collaborating with the United States Defense Department on cybersecurity projects and exploring ways to prevent veteran suicide, reports Bloomberg. OpenAI revealed the collaboration during an interview with the news outlet at the World Economic Forum in Davos. The AI company recently modified its policies, allowing for certain military applications of its technology, while maintaining prohibitions against using it to develop weapons.

According to Anna Makanju, OpenAI’s vice president of global affairs, “many people thought that [a previous blanket prohibition on military applications] would prohibit many of these use cases, which people think are very much aligned with what we want to see in the world.” OpenAI removed terms from its service agreement that previously blocked AI use in “military and warfare” situations, but the company still upholds a ban on its technology being used to develop weapons or to cause harm or property damage.

Under the “Universal Policies” section of OpenAI’s Usage Policies document, section 2 says, “Don’t use our service to harm yourself or others.” The prohibition includes using its AI products to “develop or use weapons.” Changes to the terms that removed the “military and warfare” prohibitions appear to have been made by OpenAI on January 10.

The shift in policy appears to align OpenAI more closely with the needs of various governmental departments, including the possibility of preventing veteran suicides. “We’ve been doing work with the Department of Defense on cybersecurity tools for open-source software that secures critical infrastructure,” Makanju said in the interview. “We’ve been exploring whether it can assist with (prevention of) veteran suicide.”

The efforts mark a significant change from OpenAI’s original stance on military partnerships, Bloomberg says. Meanwhile, Microsoft Corp., a large investor in OpenAI, already has an established relationship with the US military through various software contracts.

OpenAI opens the door for military uses but maintains AI weapons ban Read More »

openai-must-defend-chatgpt-fabrications-after-failing-to-defeat-libel-suit

OpenAI must defend ChatGPT fabrications after failing to defeat libel suit

One false move —

ChatGPT users may soon learn whether false outputs will be allowed to ruin lives.

OpenAI must defend ChatGPT fabrications after failing to defeat libel suit

OpenAI may finally have to answer for ChatGPT’s “hallucinations” in court after a Georgia judge recently ruled against the tech company’s motion to dismiss a radio host’s defamation suit.

OpenAI had argued that ChatGPT’s output cannot be considered libel, partly because the chatbot output cannot be considered a “publication,” which is a key element of a defamation claim. In its motion to dismiss, OpenAI also argued that Georgia radio host Mark Walters could not prove that the company acted with actual malice or that anyone believed the allegedly libelous statements were true or that he was harmed by the alleged publication.

It’s too early to say whether Judge Tracie Cason found OpenAI’s arguments persuasive. In her order denying OpenAI’s motion to dismiss, which MediaPost shared here, Cason did not specify how she arrived at her decision, saying only that she had “carefully” considered arguments and applicable laws.

There may be some clues as to how Cason reached her decision in a court filing from John Monroe, attorney for Walters, when opposing the motion to dismiss last year.

Monroe had argued that OpenAI improperly moved to dismiss the lawsuit by arguing facts that have yet to be proven in court. If OpenAI intended the court to rule on those arguments, Monroe suggested that a motion for summary judgment would have been the proper step at this stage in the proceedings, not a motion to dismiss.

Had OpenAI gone that route, though, Walters would have had an opportunity to present additional evidence. To survive a motion to dismiss, all Walters had to do was show that his complaint was reasonably supported by facts, Monroe argued.

Failing to convince the court that Walters had no case, OpenAI’s legal theories regarding its liability for ChatGPT’s “hallucinations” will now likely face their first test in court.

“We are pleased the court denied the motion to dismiss so that the parties will have an opportunity to explore, and obtain a decision on, the merits of the case,” Monroe told Ars.

What’s the libel case against OpenAI?

Walters sued OpenAI after a journalist, Fred Riehl, warned him that in response to a query, ChatGPT had fabricated an entire lawsuit. Generating an entire complaint with an erroneous case number, ChatGPT falsely claimed that Walters had been accused of defrauding and embezzling funds from the Second Amendment Foundation.

Walters is the host of Armed America Radio and has a reputation as the “Loudest Voice in America Fighting For Gun Rights.” He claimed that OpenAI “recklessly” disregarded whether ChatGPT’s outputs were false, alleging that OpenAI knew that “ChatGPT’s hallucinations were pervasive and severe” and did not work to prevent allegedly libelous outputs. As Walters saw it, the false statements were serious enough to be potentially career-damaging, “tending to injure Walter’s reputation and exposing him to public hatred, contempt, or ridicule.”

Monroe argued that Walters had “adequately stated a claim” of libel, per se, as a private citizen, “for which relief may be granted under Georgia law” where “malice is inferred” in “all actions for defamation” but “may be rebutted” by OpenAI.

Pushing back, OpenAI argued that Walters was a public figure who must prove that OpenAI acted with “actual malice” when allowing ChatGPT to produce allegedly harmful outputs. But Monroe told the court that OpenAI “has not shown sufficient facts to establish that Walters is a general public figure.”

Whether or not Walters is a public figure could be another key question leading Cason to rule against OpenAI’s motion to dismiss.

Perhaps also frustrating the court, OpenAI introduced “a large amount of material” in its motion to dismiss that fell outside the scope of the complaint, Monroe argued. That included pointing to a disclaimer in ChatGPT’s terms of use that warns users that ChatGPT’s responses may not be accurate and should be verified before publishing. According to OpenAI, this disclaimer makes Riehl the “owner” of any libelous ChatGPT responses to his queries.

“A disclaimer does not make an otherwise libelous statement non-libelous,” Monroe argued. And even if the disclaimer made Riehl liable for publishing the ChatGPT output—an argument that may give some ChatGPT users pause before querying—”that responsibility does not have the effect of negating the responsibility of the original publisher of the material,” Monroe argued.

Additionally, OpenAI referenced a conversation between Walters and OpenAI, even though Monroe said that the complaint “does not allege that Walters ever had a chat” with OpenAI. And OpenAI also somewhat oddly argued that ChatGPT outputs could be considered “intra-corporate communications” rather than publications, suggesting that ChatGPT users could be considered private contractors when querying the chatbot.

With the lawsuit moving forward, curious chatbot users everywhere may finally get the answer to a question that has been unclear since ChatGPT quickly became the fastest-growing consumer application of all time after its launch in November 2022: Will ChatGPT’s hallucinations be allowed to ruin lives?

In the meantime, the FTC is seemingly still investigating potential harms caused by ChatGPT’s “false, misleading, or disparaging” generations.

An FTC spokesperson previously told Ars that the FTC does not generally comment on nonpublic investigations.

OpenAI did not immediately respond to Ars’ request to comment.

OpenAI must defend ChatGPT fabrications after failing to defeat libel suit Read More »

as-2024-election-looms,-openai-says-it-is-taking-steps-to-prevent-ai-abuse

As 2024 election looms, OpenAI says it is taking steps to prevent AI abuse

Don’t Rock the vote —

ChatGPT maker plans transparency for gen AI content and improved access to voting info.

A pixelated photo of Donald Trump.

On Monday, ChatGPT maker OpenAI detailed its plans to prevent the misuse of its AI technologies during the upcoming elections in 2024, promising transparency in AI-generated content and enhancing access to reliable voting information. The AI developer says it is working on an approach that involves policy enforcement, collaboration with partners, and the development of new tools aimed at classifying AI-generated media.

“As we prepare for elections in 2024 across the world’s largest democracies, our approach is to continue our platform safety work by elevating accurate voting information, enforcing measured policies, and improving transparency,” writes OpenAI in its blog post. “Protecting the integrity of elections requires collaboration from every corner of the democratic process, and we want to make sure our technology is not used in a way that could undermine this process.”

Initiatives proposed by OpenAI include preventing abuse by means such as deepfakes or bots imitating candidates, refining usage policies, and launching a reporting system for the public to flag potential abuses. For example, OpenAI’s image generation tool, DALL-E 3, includes built-in filters that reject requests to create images of real people, including politicians. “For years, we’ve been iterating on tools to improve factual accuracy, reduce bias, and decline certain requests,” the company stated.

OpenAI says it regularly updates its Usage Policies for ChatGPT and its API products to prevent misuse, especially in the context of elections. The organization has implemented restrictions on using its technologies for political campaigning and lobbying until it better understands the potential for personalized persuasion. Also, OpenAI prohibits creating chatbots that impersonate real individuals or institutions and disallows the development of applications that could deter people from “participation in democratic processes.” Users can report GPTs that may violate the rules.

OpenAI claims to be proactively engaged in detailed strategies to safeguard its technologies against misuse. According to their statements, this includes red-teaming new systems to anticipate challenges, engaging with users and partners for feedback, and implementing robust safety mitigations. OpenAI asserts that these efforts are integral to its mission of continually refining AI tools for improved accuracy, reduced biases, and responsible handling of sensitive requests

Regarding transparency, OpenAI says it is advancing its efforts in classifying image provenance. The company plans to embed digital credentials, using cryptographic techniques, into images produced by DALL-E 3 as part of its adoption of standards by the Coalition for Content Provenance and Authenticity. Additionally, OpenAI says it is testing a tool designed to identify DALL-E-generated images.

In an effort to connect users with authoritative information, particularly concerning voting procedures, OpenAI says it has partnered with the National Association of Secretaries of State (NASS) in the United States. ChatGPT will direct users to CanIVote.org for verified US voting information.

“We want to make sure that our AI systems are built, deployed, and used safely,” writes OpenAI. “Like any new technology, these tools come with benefits and challenges. They are also unprecedented, and we will keep evolving our approach as we learn more about how our tools are used.”

As 2024 election looms, OpenAI says it is taking steps to prevent AI abuse Read More »

lazy-use-of-ai-leads-to-amazon-products-called-“i-cannot-fulfill-that-request”

Lazy use of AI leads to Amazon products called “I cannot fulfill that request”

FILE NOT FOUND —

The telltale error messages are a sign of AI-generated pablum all over the Internet.

I know naming new products can be hard, but these Amazon sellers made some particularly odd naming choices.

Enlarge / I know naming new products can be hard, but these Amazon sellers made some particularly odd naming choices.

Amazon

Amazon users are at this point used to search results filled with products that are fraudulent, scams, or quite literally garbage. These days, though, they also may have to pick through obviously shady products, with names like “I’m sorry but I cannot fulfill this request it goes against OpenAI use policy.”

As of press time, some version of that telltale OpenAI error message appears in Amazon products ranging from lawn chairs to office furniture to Chinese religious tracts. A few similarly named products that were available as of this morning have been taken down as word of the listings spreads across social media (one such example is Archived here).

ProTip: Don't ask OpenAI to integrate a trademarked brand name when generating a name for your weird length of rubber tubing.

Enlarge / ProTip: Don’t ask OpenAI to integrate a trademarked brand name when generating a name for your weird length of rubber tubing.

Other Amazon product names don’t mention OpenAI specifically but feature apparent AI-related error messages, such as “Sorry but I can’t generate a response to that request” or “Sorry but I can’t provide the information you’re looking for,” (available in a variety of colors). Sometimes, the product names even highlight the specific reason why the apparent AI-generation request failed, noting that OpenAI can’t provide content that “requires using trademarked brand names” or “promotes a specific religious institution” or in one case “encourage unethical behavior.”

The repeated invocation of a

Enlarge / The repeated invocation of a “commitment to providing reliable and trustworthy product descriptions” cited in this description is particularly ironic.

The descriptions for these oddly named products are also riddled with obvious AI error messages like, “Apologies, but I am unable to provide the information you’re seeking.” One product description for a set of tables and chairs (which has since been taken down) hilariously noted: “Our [product] can be used for a variety of tasks, such [task 1], [task 2], and [task 3]].” Another set of product descriptions, seemingly for tattoo ink guns, repeatedly apologizes that it can’t provide more information because: “We prioritize accuracy and reliability by only offering verified product details to our customers.”

Spam spam spam spam

Using large language models to help generate product names or descriptions isn’t against Amazon policy. On the contrary, in September Amazon launched its own generative AI tool to help sellers “create more thorough and captivating product descriptions, titles, and listing details.” And we could only find a small handful of Amazon products slipping through with the telltale error messages in their names or descriptions as of press time.

Still, these error-message-filled listings highlight the lack of care or even basic editing many Amazon scammers are exercising when putting their spammy product listings on the Amazon marketplace. For every seller that can be easily caught accidentally posting an OpenAI error, there are likely countless others using the technology to create product names and descriptions that only seem like they were written by a human that has actual experience with the product in question.

A set of clearly real people conversing on Twitter / X.

Enlarge / A set of clearly real people conversing on Twitter / X.

Amazon isn’t the only online platform where these AI bots are outing themselves, either. A quick search for “goes against OpenAI policy” or “as an AI language model” can find a whole lot of artificial posts on Twitter / X or Threads or LinkedIn, for example. Security engineer Dan Feldman noted a similar problem on Amazon back in April, though searching with the phrase “as an AI language model” doesn’t seem to generate any obviously AI-generated search results these days.

As fun as it is to call out these obvious mishaps for AI-generated content mills, a flood of harder-to-detect AI content is threatening to overwhelm everyone from art communities to sci-fi magazines to Amazon’s own ebook marketplace. Pretty much any platform that accepts user submissions that involve text or visual art now has to worry about being flooded with wave after wave of AI-generated work trying to crowd out the human community they were created for. It’s a problem that’s likely to get worse before it gets better.

Listing image by Getty Images | Leon Neal

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At Senate AI hearing, news executives fight against “fair use” claims for AI training data

All’s fair in love and AI —

Media orgs want AI firms to license content for training, and Congress is sympathetic.

WASHINGTON, DC - JANUARY 10: Danielle Coffey, President and CEO of News Media Alliance, Professor Jeff Jarvis, CUNY Graduate School of Journalism, Curtis LeGeyt President and CEO of National Association of Broadcasters, Roger Lynch CEO of Condé Nast, are strong in during a Senate Judiciary Subcommittee on Privacy, Technology, and the Law hearing on “Artificial Intelligence and The Future Of Journalism” at the U.S. Capitol on January 10, 2024 in Washington, DC. Lawmakers continue to hear testimony from experts and business leaders about artificial intelligence and its impact on democracy, elections, privacy, liability and news. (Photo by Kent Nishimura/Getty Images)

Enlarge / Danielle Coffey, president and CEO of News Media Alliance; Professor Jeff Jarvis, CUNY Graduate School of Journalism; Curtis LeGeyt, president and CEO of National Association of Broadcasters; and Roger Lynch, CEO of Condé Nast, are sworn in during a Senate Judiciary Subcommittee on Privacy, Technology, and the Law hearing on “Artificial Intelligence and The Future Of Journalism.”

Getty Images

On Wednesday, news industry executives urged Congress for legal clarification that using journalism to train AI assistants like ChatGPT is not fair use, as claimed by companies such as OpenAI. Instead, they would prefer a licensing regime for AI training content that would force Big Tech companies to pay for content in a method similar to rights clearinghouses for music.

The plea for action came during a US Senate Judiciary Committee hearing titled “Oversight of A.I.: The Future of Journalism,” chaired by Sen. Richard Blumenthal of Connecticut, with Sen. Josh Hawley of Missouri also playing a large role in the proceedings. Last year, the pair of senators introduced a bipartisan framework for AI legislation and held a series of hearings on the impact of AI.

Blumenthal described the situation as an “existential crisis” for the news industry and cited social media as a cautionary tale for legislative inaction about AI. “We need to move more quickly than we did on social media and learn from our mistakes in the delay there,” he said.

Companies like OpenAI have admitted that vast amounts of copyrighted material are necessary to train AI large language models, but they claim their use is transformational and covered under fair use precedents of US copyright law. Currently, OpenAI is negotiating licensing content from some news providers and striking deals, but the executives in the hearing said those efforts are not enough, highlighting closing newsrooms across the US and dropping media revenues while Big Tech’s profits soar.

“Gen AI cannot replace journalism,” said Condé Nast CEO Roger Lynch in his opening statement. (Condé Nast is the parent company of Ars Technica.) “Journalism is fundamentally a human pursuit, and it plays an essential and irreplaceable role in our society and our democracy.” Lynch said that generative AI has been built with “stolen goods,” referring to the use of AI training content from news outlets without authorization. “Gen AI companies copy and display our content without permission or compensation in order to build massive commercial businesses that directly compete with us.”

Roger Lynch, CEO of Condé Nast, testifies before the Senate Judiciary Subcommittee on Privacy, Technology, and the Law during a hearing on “Artificial Intelligence and The Future Of Journalism.”

Enlarge / Roger Lynch, CEO of Condé Nast, testifies before the Senate Judiciary Subcommittee on Privacy, Technology, and the Law during a hearing on “Artificial Intelligence and The Future Of Journalism.”

Getty Images

In addition to Lynch, the hearing featured three other witnesses: Jeff Jarvis, a veteran journalism professor and pundit; Danielle Coffey, the president and CEO of News Media Alliance; and Curtis LeGeyt, president and CEO of the National Association of Broadcasters.

Coffey also shared concerns about generative AI using news material to create competitive products. “These outputs compete in the same market, with the same audience, and serve the same purpose as the original articles that feed the algorithms in the first place,” she said.

When Sen. Hawley asked Lynch what kind of legislation might be needed to fix the problem, Lynch replied, “I think quite simply, if Congress could clarify that the use of our content and other publisher content for training and output of AI models is not fair use, then the free market will take care of the rest.”

Lynch used the music industry as a model: “You think about millions of artists, millions of ultimate consumers consuming that content, there have been models that have been set up, ASCAP, BMI, CSAC, GMR, these collective rights organizations to simplify the content that’s being used.”

Curtis LeGeyt, CEO of the National Association of Broadcasters, said that TV broadcast journalists are also affected by generative AI. “The use of broadcasters’ news content in AI models without authorization diminishes our audience’s trust and our reinvestment in local news,” he said. “Broadcasters have already seen numerous examples where content created by our journalists has been ingested and regurgitated by AI bots with little or no attribution.”

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OpenAI’s GPT Store lets ChatGPT users discover popular user-made chatbot roles

The bot of 1,000 faces —

Like an app store, people can find novel ChatGPT personalities—and some creators will get paid.

Two robots hold a gift box.

On Wednesday, OpenAI announced the launch of its GPT Store—a way for ChatGPT users to share and discover custom chatbot roles called “GPTs”—and ChatGPT Team, a collaborative ChatGPT workspace and subscription plan. OpenAI bills the new store as a way to “help you find useful and popular custom versions of ChatGPT” for members of Plus, Team, or Enterprise subscriptions.

“It’s been two months since we announced GPTs, and users have already created over 3 million custom versions of ChatGPT,” writes OpenAI in its promotional blog. “Many builders have shared their GPTs for others to use. Today, we’re starting to roll out the GPT Store to ChatGPT Plus, Team and Enterprise users so you can find useful and popular GPTs.”

OpenAI launched GPTs on November 6, 2023, as part of its DevDay event. Each GPT includes custom instructions and/or access to custom data or external APIs that can potentially make a custom GPT personality more useful than the vanilla ChatGPT-4 model. Before the GPT Store launch, paying ChatGPT users could create and share custom GPTs with others (by setting the GPT public and sharing a link to the GPT), but there was no central repository for browsing and discovering user-designed GPTs on the OpenAI website.

According to OpenAI, the ChatGPT Store will feature new GPTs every week, and the company shared a list a group of six notable early GPTs that are available now: AllTrails for finding hiking trails, Consensus for searching 200 million academic papers, Code Tutor for learning coding with Khan Academy, Canva for designing presentations, Books for discovering reading material, and CK-12 Flexi for learning math and science.

A screenshot of the OpenAI GPT Store provided by OpenAI.

Enlarge / A screenshot of the OpenAI GPT Store provided by OpenAI.

OpenAI

ChatGPT members can include their own GPTs in the GPT Store by setting them to be accessible to “Everyone” and then verifying a builder profile in ChatGPT settings. OpenAI plans to review GPTs to ensure they meet their policies and brand guidelines. GPTs that violate the rules can also be reported by users.

As promised by CEO Sam Altman during DevDay, OpenAI plans to share revenue with GPT creators. Unlike a smartphone app store, it appears that users will not sell their GPTs in the GPT Store, but instead, OpenAI will pay developers “based on user engagement with their GPTs.” The revenue program will launch in the first quarter of 2024, and OpenAI will provide more details on the criteria for receiving payments later.

“ChatGPT Team” is for teams who use ChatGPT

Also on Monday, OpenAI announced the cleverly named ChatGPT Team, a new group-based ChatGPT membership program akin to ChatGPT Enterprise, which the company launched last August. Unlike Enterprise, which is for large companies and does not have publicly listed prices, ChatGPT Team is a plan for “teams of all sizes” and costs US $25 a month per user (when billed annually) or US $30 a month per user (when billed monthly). By comparison, ChatGPT Plus costs $20 per month.

So what does ChatGPT Team offer above the usual ChatGPT Plus subscription? According to OpenAI, it “provides a secure, collaborative workspace to get the most out of ChatGPT at work.” Unlike Plus, OpenAI says it will not train AI models based on ChatGPT Team business data or conversations. It features an admin console for team management and the ability to share custom GPTs with your team. Like Plus, it also includes access to GPT-4 with the 32K context window, DALL-E 3, GPT-4 with Vision, Browsing, and Advanced Data Analysis—all with higher message caps.

Why would you want to use ChatGPT at work? OpenAI says it can help you generate better code, craft emails, analyze data, and more. Your mileage may vary, of course. As usual, our standard Ars warning about AI language models applies: “Bring your own data” for analysis, don’t rely on ChatGPT as a factual resource, and don’t rely on its outputs in ways you cannot personally confirm. OpenAI has provided more details about ChatGPT Team on its website.

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