AI

“in-10-years,-all-bets-are-off”—anthropic-ceo-opposes-decadelong-freeze-on-state-ai-laws

“In 10 years, all bets are off”—Anthropic CEO opposes decadelong freeze on state AI laws

On Thursday, Anthropic CEO Dario Amodei argued against a proposed 10-year moratorium on state AI regulation in a New York Times opinion piece, calling the measure shortsighted and overbroad as Congress considers including it in President Trump’s tax policy bill. Anthropic makes Claude, an AI assistant similar to ChatGPT.

Amodei warned that AI is advancing too fast for such a long freeze, predicting these systems “could change the world, fundamentally, within two years; in 10 years, all bets are off.”

As we covered in May, the moratorium would prevent states from regulating AI for a decade. A bipartisan group of state attorneys general has opposed the measure, which would preempt AI laws and regulations recently passed in dozens of states.

In his op-ed piece, Amodei said the proposed moratorium aims to prevent inconsistent state laws that could burden companies or compromise America’s competitive position against China. “I am sympathetic to these concerns,” Amodei wrote. “But a 10-year moratorium is far too blunt an instrument. A.I. is advancing too head-spinningly fast.”

Instead of a blanket moratorium, Amodei proposed that the White House and Congress create a federal transparency standard requiring frontier AI developers to publicly disclose their testing policies and safety measures. Under this framework, companies working on the most capable AI models would need to publish on their websites how they test for various risks and what steps they take before release.

“Without a clear plan for a federal response, a moratorium would give us the worst of both worlds—no ability for states to act and no national policy as a backstop,” Amodei wrote.

Transparency as the middle ground

Amodei emphasized his claims for AI’s transformative potential throughout his op-ed, citing examples of pharmaceutical companies drafting clinical study reports in minutes instead of weeks and AI helping to diagnose medical conditions that might otherwise be missed. He wrote that AI “could accelerate economic growth to an extent not seen for a century, improving everyone’s quality of life,” a claim that some skeptics believe may be overhyped.

“In 10 years, all bets are off”—Anthropic CEO opposes decadelong freeze on state AI laws Read More »

fda-rushed-out-agency-wide-ai-tool—it’s-not-going-well

FDA rushed out agency-wide AI tool—it’s not going well

FDA staffers who spoke with Stat news, meanwhile, called the tool “rushed” and said its capabilities were overinflated by officials, including Makary and those at the Department of Government Efficiency (DOGE), which was headed by controversial billionaire Elon Musk. In its current form, it should only be used for administrative tasks, not scientific ones, the staffers said.

“Makary and DOGE think AI can replace staff and cut review times, but it decidedly cannot,” one employee said. The staffer also said that the FDA has failed to set up guardrails for the tool’s use. “I’m not sure in their rush to get it out that anyone is thinking through policy and use,” the FDA employee said.

According to Stat, Elsa is based on Anthropic’s Claude LLM and is being developed by consulting firm Deloitte. Since 2020, Deloitte has been paid $13.8 million to develop the original database of FDA documents that Elsa’s training data is derived from. In April, the firm was awarded a $14.7 million contract to scale the tech across the agency. The FDA said that Elsa was built within a high-security GovCloud environment and offers a “secure platform for FDA employees to access internal documents while ensuring all information remains within the agency.”

Previously, each center within the FDA was working on its own AI pilot. However, after cost-cutting in May, the AI pilot originally developed by the FDA’s Center for Drug Evaluation and Research, called CDER-GPT, was selected to be scaled up to an FDA-wide version and rebranded as Elsa.

FDA staffers in the Center for Devices and Radiological Health told NBC News that their AI pilot, CDRH-GPT, is buggy, isn’t connected to the Internet or the FDA’s internal system, and has problems uploading documents and allowing users to submit questions.

FDA rushed out agency-wide AI tool—it’s not going well Read More »

openai-slams-court-order-to-save-all-chatgpt-logs,-including-deleted-chats

OpenAI slams court order to save all ChatGPT logs, including deleted chats


OpenAI defends privacy of hundreds of millions of ChatGPT users.

OpenAI is now fighting a court order to preserve all ChatGPT user logs—including deleted chats and sensitive chats logged through its API business offering—after news organizations suing over copyright claims accused the AI company of destroying evidence.

“Before OpenAI had an opportunity to respond to those unfounded accusations, the court ordered OpenAI to ‘preserve and segregate all output log data that would otherwise be deleted on a going forward basis until further order of the Court (in essence, the output log data that OpenAI has been destroying),” OpenAI explained in a court filing demanding oral arguments in a bid to block the controversial order.

In the filing, OpenAI alleged that the court rushed the order based only on a hunch raised by The New York Times and other news plaintiffs. And now, without “any just cause,” OpenAI argued, the order “continues to prevent OpenAI from respecting its users’ privacy decisions.” That risk extended to users of ChatGPT Free, Plus, and Pro, as well as users of OpenAI’s application programming interface (API), OpenAI said.

The court order came after news organizations expressed concern that people using ChatGPT to skirt paywalls “might be more likely to ‘delete all [their] searches’ to cover their tracks,” OpenAI explained. Evidence to support that claim, news plaintiffs argued, was missing from the record because so far, OpenAI had only shared samples of chat logs that users had agreed that the company could retain. Sharing the news plaintiffs’ concerns, the judge, Ona Wang, ultimately agreed that OpenAI likely would never stop deleting that alleged evidence absent a court order, granting news plaintiffs’ request to preserve all chats.

OpenAI argued the May 13 order was premature and should be vacated, until, “at a minimum,” news organizations can establish a substantial need for OpenAI to preserve all chat logs. They warned that the privacy of hundreds of millions of ChatGPT users globally is at risk every day that the “sweeping, unprecedented” order continues to be enforced.

“As a result, OpenAI is forced to jettison its commitment to allow users to control when and how their ChatGPT conversation data is used, and whether it is retained,” OpenAI argued.

Meanwhile, there is no evidence beyond speculation yet supporting claims that “OpenAI had intentionally deleted data,” OpenAI alleged. And supposedly there is not “a single piece of evidence supporting” claims that copyright-infringing ChatGPT users are more likely to delete their chats.

“OpenAI did not ‘destroy’ any data, and certainly did not delete any data in response to litigation events,” OpenAI argued. “The Order appears to have incorrectly assumed the contrary.”

At a conference in January, Wang raised a hypothetical in line with her thinking on the subsequent order. She asked OpenAI’s legal team to consider a ChatGPT user who “found some way to get around the pay wall” and “was getting The New York Times content somehow as the output.” If that user “then hears about this case and says, ‘Oh, whoa, you know I’m going to ask them to delete all of my searches and not retain any of my searches going forward,'” the judge asked, wouldn’t that be “directly the problem” that the order would address?

OpenAI does not plan to give up this fight, alleging that news plaintiffs have “fallen silent” on claims of intentional evidence destruction, and the order should be deemed unlawful.

For OpenAI, risks of breaching its own privacy agreements could not only “damage” relationships with users but could also risk putting the company in breach of contracts and global privacy regulations. Further, the order imposes “significant” burdens on OpenAI, supposedly forcing the ChatGPT maker to dedicate months of engineering hours at substantial costs to comply, OpenAI claimed. It follows then that OpenAI’s potential for harm “far outweighs News Plaintiffs’ speculative need for such data,” OpenAI argued.

“While OpenAI appreciates the court’s efforts to manage discovery in this complex set of cases, it has no choice but to protect the interests of its users by objecting to the Preservation Order and requesting its immediate vacatur,” OpenAI said.

Users panicked over sweeping order

Millions of people use ChatGPT daily for a range of purposes, OpenAI noted, “ranging from the mundane to profoundly personal.”

People may choose to delete chat logs that contain their private thoughts, OpenAI said, as well as sensitive information, like financial data from balancing the house budget or intimate details from workshopping wedding vows. And for business users connecting to OpenAI’s API, the stakes may be even higher, as their logs may contain their companies’ most confidential data, including trade secrets and privileged business information.

“Given that array of highly confidential and personal use cases, OpenAI goes to great lengths to protect its users’ data and privacy,” OpenAI argued.

It does this partly by “honoring its privacy policies and contractual commitments to users”—which the preservation order allegedly “jettisoned” in “one fell swoop.”

Before the order was in place mid-May, OpenAI only retained “chat history” for users of ChatGPT Free, Plus, and Pro who did not opt out of data retention. But now, OpenAI has been forced to preserve chat history even when users “elect to not retain particular conversations by manually deleting specific conversations or by starting a ‘Temporary Chat,’ which disappears once closed,” OpenAI said. Previously, users could also request to “delete their OpenAI accounts entirely, including all prior conversation history,” which was then purged within 30 days.

While OpenAI rejects claims that ordinary users use ChatGPT to access news articles, the company noted that including OpenAI’s business customers in the order made “even less sense,” since API conversation data “is subject to standard retention policies.” That means API customers couldn’t delete all their searches based on their customers’ activity, which is the supposed basis for requiring OpenAI to retain sensitive data.

“The court nevertheless required OpenAI to continue preserving API Conversation Data as well,” OpenAI argued, in support of lifting the order on the API chat logs.

Users who found out about the preservation order panicked, OpenAI noted. In court filings, they cited social media posts sounding alarms on LinkedIn and X (formerly Twitter). They further argued that the court should have weighed those user concerns before issuing a preservation order, but “that did not happen here.”

One tech worker on LinkedIn suggested the order created “a serious breach of contract for every company that uses OpenAI,” while privacy advocates on X warned, “every single AI service ‘powered by’ OpenAI should be concerned.”

Also on LinkedIn, a consultant rushed to warn clients to be “extra careful” sharing sensitive data “with ChatGPT or through OpenAI’s API for now,” warning, “your outputs could eventually be read by others, even if you opted out of training data sharing or used ‘temporary chat’!”

People on both platforms recommended using alternative tools to avoid privacy concerns, like Mistral AI or Google Gemini, with one cybersecurity professional on LinkedIn describing the ordered chat log retention as “an unacceptable security risk.”

On X, an account with tens of thousands of followers summed up the controversy by suggesting that “Wang apparently thinks the NY Times’ boomer copyright concerns trump the privacy of EVERY @OpenAI USER—insane!!!”

The reason for the alarm is “simple,” OpenAI said. “Users feel more free to use ChatGPT when they know that they are in control of their personal information, including which conversations are retained and which are not.”

It’s unclear if OpenAI will be able to get the judge to waver if oral arguments are scheduled.

Wang previously justified the broad order partly due to the news organizations’ claim that “the volume of deleted conversations is significant.” She suggested that OpenAI could have taken steps to anonymize the chat logs but chose not to, only making an argument for why it “would not” be able to segregate data, rather than explaining why it “can’t.”

Spokespersons for OpenAI and The New York Times’ legal team declined Ars’ request to comment on the ongoing multi-district litigation.

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

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samsung-teams-up-with-glance-to-use-your-face-in-ai-generated-lock-screen-ads

Samsung teams up with Glance to use your face in AI-generated lock screen ads

On an average day, you might unlock or look at your phone dozens of times, which makes the lock screen a hot property for advertising. Ad tech company Glance has been taking advantage of that for years with its ad-laden lock screen experiences, but it’s going further in the age of AI. Samsung and Glance have teamed up to deliver a new “AI shopping” experience that uses a selfie to create custom fashion ads. This feature is rolling out to numerous Samsung phones in the next month.

Glance has been around for a while—its non-AI lock screen experience has been bundled on various phones from Samsung, Motorola, and others. Before the AI era, Glance lured people in with promises of pretty pictures and news alerts, which came with a side of ads and tracking. The new Glance AI feature has all that, but it adds an unsettling face-stealing layer to the experience.

The AI-infused Glance will arrive on Samsung phones as both a standalone app and a fully integrated lock screen. Thankfully, this is a fully opt-in experience. If you never open or set up Glance, you can keep using the normal lock screen on your phone.

Credit: Glance

Should you choose to wade into the murky waters of AI shopping, Glance will have you take a selfie and provide some basic body type details. From there, it uses Google Gemini and Imagen to create fashion ads tailored to you—because they are you. Your lock screen will be populated with images of you “in outfits and destinations [you] would never imagine.” Naturally, you will be able to buy the looks chosen for you with a tap, which fills Glance’s coffers.

Samsung teams up with Glance to use your face in AI-generated lock screen ads Read More »

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“Godfather” of AI calls out latest models for lying to users

One of the “godfathers” of artificial intelligence has attacked a multibillion-dollar race to develop the cutting-edge technology, saying the latest models are displaying dangerous characteristics such as lying to users.

Yoshua Bengio, a Canadian academic whose work has informed techniques used by top AI groups such as OpenAI and Google, said: “There’s unfortunately a very competitive race between the leading labs, which pushes them towards focusing on capability to make the AI more and more intelligent, but not necessarily put enough emphasis and investment on research on safety.”

The Turing Award winner issued his warning in an interview with the Financial Times, while launching a new non-profit called LawZero. He said the group would focus on building safer systems, vowing to “insulate our research from those commercial pressures.”

LawZero has so far raised nearly $30 million in philanthropic contributions from donors including Skype founding engineer Jaan Tallinn, former Google chief Eric Schmidt’s philanthropic initiative, as well as Open Philanthropy and the Future of Life Institute.

Many of Bengio’s funders subscribe to the “effective altruism” movement, whose supporters tend to focus on catastrophic risks surrounding AI models. Critics argue the movement highlights hypothetical scenarios while ignoring current harms, such as bias and inaccuracies.

Bengio said his not-for-profit group was founded in response to growing evidence over the past six months that today’s leading models were developing dangerous capabilities. This includes showing “evidence of deception, cheating, lying and self-preservation,” he said.

Anthropic’s Claude Opus model blackmailed engineers in a fictitious scenario where it was at risk of being replaced by another system. Research from AI testers Palisade last month showed that OpenAI’s o3 model refused explicit instructions to shut down.

Bengio said such incidents were “very scary, because we don’t want to create a competitor to human beings on this planet, especially if they’re smarter than us.”

The AI pioneer added: “Right now, these are controlled experiments [but] my concern is that any time in the future, the next version might be strategically intelligent enough to see us coming from far away and defeat us with deceptions that we don’t anticipate. So I think we’re playing with fire right now.”

“Godfather” of AI calls out latest models for lying to users Read More »

real-tiktokers-are-pretending-to-be-veo-3-ai-creations-for-fun,-attention

Real TikTokers are pretending to be Veo 3 AI creations for fun, attention


The turing test in reverse

From music videos to “Are you a prompt?” stunts, “real” videos are presenting as AI

Of course I’m an AI creation! Why would you even doubt it? Credit: Getty Images

Since Google released its Veo 3 AI model last week, social media users have been having fun with its ability to quickly generate highly realistic eight-second clips complete with sound and lip-synced dialogue. TikTok’s algorithm has been serving me plenty of Veo-generated videos featuring impossible challenges, fake news reports, and even surreal short narrative films, to name just a few popular archetypes.

However, among all the AI-generated video experiments spreading around, I’ve also noticed a surprising counter-trend on my TikTok feed. Amid all the videos of Veo-generated avatars pretending to be real people, there are now also a bunch of videos of real people pretending to be Veo-generated avatars.

“This has to be real. There’s no way it’s AI.”

I stumbled on this trend when the TikTok algorithm fed me this video topped with the extra-large caption “Google VEO 3 THIS IS 100% AI.” As I watched and listened to the purported AI-generated band that appeared to be playing in the crowded corner of someone’s living room, I read the caption containing the supposed prompt that had generated the clip: “a band of brothers with beards playing rock music in 6/8 with an accordion.”

@kongosmusicWe are so cooked. This took 3 mins to generate. Simple prompt: “a band of brothers playing rock music in 6/8 with an accordion”♬ original sound – KONGOS

After a few seconds of taking those captions at face value, something started to feel a little off. After a few more seconds, I finally noticed the video was posted by Kongos, an indie band that you might recognize from their minor 2012 hit “Come With Me Now.” And after a little digging, I discovered the band in the video was actually just Kongos, and the tune was a 9-year-old song that the band had dressed up as an AI creation to get attention.

Here’s the sad thing: It worked! Without the “Look what Veo 3 did!” hook, I might have quickly scrolled by this video before I took the time to listen to the (pretty good!) song. The novel AI angle made me stop just long enough to pay attention to a Kongos song for the first time in over a decade.

Kongos isn’t the only musical act trying to grab attention by claiming their real performances are AI creations. Darden Bela posted that Veo 3 had “created a realistic AI music video” over a clip from what is actually a 2-year-old music video with some unremarkable special effects. Rapper GameBoi Pat dressed up an 11-month-old song with a new TikTok clip captioned “Google’s Veo 3 created a realistic sounding rapper… This has to be real. There’s no way it’s AI” (that last part is true, at least). I could go on, but you get the idea.

@gameboi_pat This has got to be real. There’s no way it’s AI 😩 #google #veo3 #googleveo3 #AI #prompts #areweprompts? ♬ original sound – GameBoi_pat

I know it’s tough to get noticed on TikTok, and that creators will go to great lengths to gain attention from the fickle algorithm. Still, there’s something more than a little off-putting about flesh-and-blood musicians pretending to be AI creations just to make social media users pause their scrolling for a few extra seconds before they catch on to the joke (or don’t, based on some of the comments).

The whole thing evokes last year’s stunt where a couple of podcast hosts released a posthumous “AI-generated” George Carlin routine before admitting that it had been written by a human after legal threats started flying. As an attention-grabbing stunt, the conceit still works. You want AI-generated content? I can pretend to be that!

Are we just prompts?

Some of the most existentially troubling Veo-generated videos floating around TikTok these days center around a gag known as “the prompt theory.” These clips focus on various AI-generated people reacting to the idea that they are “just prompts” with various levels of skepticism, fear, or even conspiratorial paranoia.

On the other side of that gag, some humans are making joke videos playing off the idea that they’re merely prompts. RedondoKid used the conceit in a basketball trick shot video, saying “of course I’m going to make this. This is AI, you put that I’m going to make this in the prompt.” User thisisamurica thanked his faux prompters for putting him in “a world with such delicious food” before theatrically choking on a forkful of meat. And comedian Drake Cummings developed TikTok skits pretending that it was actually AI video prompts forcing him to indulge in vices like shots of alcohol or online gambling (“Goolgle’s [sic] New A.I. Veo 3 is at it again!! When will the prompts end?!” Cummings jokes in the caption).

@justdrakenaround Goolgle’s New A.I. Veo 3 is at it again!! When will the prompts end?! #veo3 #google #ai #aivideo #skit ♬ original sound – Drake Cummings

Beyond the obvious jokes, though, I’ve also seen a growing trend of TikTok creators approaching friends or strangers and asking them to react to the idea that “we’re all just prompts.” The reactions run the gamut from “get the fuck away from me” to “I blame that [prompter], I now have to pay taxes” to solipsistic philosophical musings from convenience store employees.

I’m loath to call this a full-blown TikTok trend based on a few stray examples. Still, these attempts to exploit the confusion between real and AI-generated video are interesting to see. As one commenter on an “Are you a prompt?” ambush video put it: “New trend: Do normal videos and write ‘Google Veo 3’ on top of the video.”

Which one is real?

The best Veo-related TikTok engagement hack I’ve stumbled on so far, though, might be the videos that show multiple short clips and ask the viewer to decide which are real and which are fake. One video I stumbled on shows an increasing number of “Veo 3 Goth Girls” across four clips, challenging in the caption that “one of these videos is real… can you guess which one?” In another example, two similar sets of kids are shown hanging out in cars while the caption asks, “Are you able to identify which scene is real and which one is from veo3?”

@spongibobbu2 One of these videos is real… can you guess which one? #veo3 ♬ original sound – Jett

After watching both of these videos on loop a few times, I’m relatively (but not entirely) convinced that every single clip in them is a Veo creation. The fact that I watched these videos multiple times shows how effective the “Real or Veo” challenge framing is at grabbing my attention. Additionally, I’m still not 100 percent confident in my assessments, which is a testament to just how good Google’s new model is at creating convincing videos.

There are still some telltale signs for distinguishing a real video from a Veo creation, though. For one, Veo clips are still limited to just eight seconds, so any video that runs longer (without an apparent change in camera angle) is almost certainly not generated by Google’s AI. Looking back at a creator’s other videos can also provide some clues—if the same person was appearing in “normal” videos two weeks ago, it’s unlikely they would be appearing in Veo creations suddenly.

There’s also a subtle but distinctive style to most Veo creations that can distinguish them from the kind of candid handheld smartphone videos that usually fill TikTok. The lighting in a Veo video tends to be too bright, the camera movements a bit too smooth, and the edges of people and objects a little too polished. After you watch enough “genuine” Veo creations, you can start to pick out the patterns.

Regardless, TikTokers trying to pass off real videos as fakes—even as a joke or engagement hack—is a recognition that video sites are now deep in the “deep doubt” era, where you have to be extra skeptical of even legitimate-looking video footage. And the mere existence of convincing AI fakes makes it easier than ever to claim real events captured on video didn’t really happen, a problem that political scientists call the liar’s dividend. We saw this when then-candidate Trump accused Democratic nominee Kamala Harris of “A.I.’d” crowds in real photos of her Detroit airport rally.

For now, TikTokers of all stripes are having fun playing with that idea to gain social media attention. In the long term, though, the implications for discerning truth from reality are more troubling.

Photo of Kyle Orland

Kyle Orland has been the Senior Gaming Editor at Ars Technica since 2012, writing primarily about the business, tech, and culture behind video games. He has journalism and computer science degrees from University of Maryland. He once wrote a whole book about Minesweeper.

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want-a-humanoid,-open-source-robot-for-just-$3,000?-hugging-face-is-on-it.

Want a humanoid, open source robot for just $3,000? Hugging Face is on it.

You may have noticed he said “robots” plural—that’s because there’s a second one. It’s called Reachy Mini, and it looks like a cute, Wall-E-esque statue bust that can turn its head and talk to the user. Among other things, it’s meant to be used to test AI applications, and it’ll run between $250 and $300.

You can sort of think of these products as the equivalent to a Raspberry Pi, but in robot form and for AI developers—Hugging Face’s main customer base.

Hugging Face has previously released AI models meant for robots, as well as a 3D-printable robotic arm. This year, it announced an acquisition of Pollen Robotics, a company that was working on humanoid robots. Hugging Face’s Cadene came to the company by way of Tesla.

For context on the pricing, Tesla’s Optimus Gen 2 humanoid robot (while admittedly much more advanced, at least in theory) is expected to cost at least $20,000.

There is a lot of investment in robotics like this, but there are still big barriers—and price isn’t the only one. There’s battery life, for example; Unitree’s G1 only runs for about two hours on a single charge.

Want a humanoid, open source robot for just $3,000? Hugging Face is on it. Read More »

the-gmail-app-will-now-create-ai-summaries-whether-you-want-them-or-not

The Gmail app will now create AI summaries whether you want them or not

Gmail AI summary

This block of AI-generated text will soon appear automatically in some threads.

Credit: Google

This block of AI-generated text will soon appear automatically in some threads. Credit: Google

Summarizing content is one of the more judicious applications of generative AI technology, dating back to the 2017 paper on the transformer architecture. Generative AI has since been employed to create chatbots that will seemingly answer any question, despite their tendency to make mistakes. Grounding the AI output with a few emails usually yields accurate results, but do you really need a robot to summarize your emails? Unless you’re getting novels in your inbox, you can probably just read a few paragraphs.

If you’re certain you don’t want any part of this, there is a solution. Automatic generation of AI summaries is controlled by Gmail’s “smart features.” You (or an administrator of your managed account) can disable that. Open the app settings, select the account, and uncheck the smart features toggle.

For most people, Gmail’s smart features are enabled out of the box, but they’re off by default in Europe and Japan. When you disable them, you won’t see the automatic AI summaries, but there will still be a button to generate those summaries with Gemini. Be aware that smart features also control high-priority notifications, package tracking, Smart Compose, Smart Reply, and nudges. If you can live without all of those features in the mobile app, you can avoid automatic AI summaries. The app will occasionally pester you to turn smart features back on, though.

The Gmail app will now create AI summaries whether you want them or not Read More »

gemini-in-google-drive-may-finally-be-useful-now-that-it-can-analyze-videos

Gemini in Google Drive may finally be useful now that it can analyze videos

Google’s rapid adoption of AI has seen the Gemini “sparkle” icon become an omnipresent element in almost every Google product. It’s there to summarize your email, add items to your calendar, and more—if you trust it to do those things. Gemini is also integrated with Google Drive, where it’s gaining a new feature that could make it genuinely useful: Google’s AI bot will soon be able to watch videos stored in your Drive so you don’t have to.

Gemini is already accessible in Drive, with the ability to summarize documents or folders, gather and analyze data, and expand on the topics covered in your documents. Google says the next step is plugging videos into Gemini, saving you from wasting time scrubbing through a file just to find something of interest.

Using a chatbot to analyze and manipulate text doesn’t always make sense—after all, it’s not hard to skim an email or short document. It can take longer to interact with a chatbot, which might not add any useful insights. Video is different because watching is a linear process in which you are presented with information at the pace the video creator sets. You can change playback speed or rewind to catch something you missed, but that’s more arduous than reading something at your own pace. So Gemini’s video support in Drive could save you real time.

Suppose you have a recorded meeting in video form uploaded to Drive. You could go back and rewatch it to take notes or refresh your understanding of a particular exchange. Or, Google suggests, you can ask Gemini to summarize the video and tell you what’s important. This could be a great alternative, as grounding AI output with a specific data set or file tends to make it more accurate. Naturally, you should still maintain healthy skepticism of what the AI tells you about the content of your video.

Gemini in Google Drive may finally be useful now that it can analyze videos Read More »

trump-bans-sales-of-chip-design-software-to-china

Trump bans sales of chip design software to China

Johnson, who heads China Strategies Group, a risk consultancy, said that China had successfully leveraged its stranglehold on rare earths to bring the US to the negotiating table in Geneva, which “left the Trump administration’s China hawks eager to demonstrate their export control weapons still have purchase.”

While it accounts for a relatively small share of the overall semiconductor industry, EDA software allows chip designers and manufacturers to develop and test the next generation of chips, making it a critical part in the supply chain.

Synopsys, Cadence Design Systems, and Siemens EDA—part of Siemens Digital Industries Software, a subsidiary of Germany’s Siemens AG—account for about 80 percent of China’s EDA market. Synopsys and Cadence did not immediately respond to requests for comment.

In fiscal year 2024, Synopsys reported almost $1 billion in China sales, roughly 16 percent of its revenue. Cadence said China accounted for $550 million or 12 percent of its revenue.

Synopsys shares fell 9.6 percent on Wednesday, while those of Cadence lost 10.7 percent.

Siemens said in a statement the EDA industry had been informed last Friday about new export controls. It said it had supported customers in China “for more than 150 years” and would “continue to work with our customers globally to mitigate the impact of these new restrictions while operating in compliance with applicable national export control regimes.”

In 2022, the Biden administration introduced restrictions on sales of the most sophisticated chip design software to China, but the companies continued to sell export control-compliant products to the country.

In his first term as president, Donald Trump banned China’s Huawei from using American EDA tools. Huawei is seen as an emerging competitor to Nvidia with its “Ascend” AI chips.

Nvidia chief executive Jensen Huang recently warned that successive attempts by American administrations to hamstring China’s AI ecosystem with export controls had failed.

Last year Synopsys entered into an agreement to buy Ansys, a US simulation software company, for $35 billion. The deal still requires approval from Chinese regulators. Ansys shares fell 5.3 percent on Wednesday.

On Wednesday the US Federal Trade Commission announced that both companies would need to divest certain software tools to receive its approval for the deal.

The export restrictions have encouraged Chinese competitors, with three leading EDA companies—Empyrean Technology, Primarius, and Semitronix—significantly growing their market share in recent years.

Shares of Empyrean, Primarius, and Semitronix rose more than 10 percent in early trading in China on Thursday.

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google-photos-turns-10,-celebrates-with-new-ai-infused-photo-editor

Google Photos turns 10, celebrates with new AI-infused photo editor

The current incarnation of Google Photos was not Google’s first image management platform, but it’s been a big success. Ten years on, Google Photos remains one of Google’s most popular products, and it’s getting a couple of new features to celebrate its 10th year in operation. You’ll be able to share albums a bit more easily, and editing tools are getting a boost with, you guessed it, AI.

Google Photos made a splash in 2015 when it broke free of the spiraling Google+ social network, offering people supposedly unlimited free storage for compressed images. Of course, that was too good to last. In 2021, Google began limiting photo uploads to 15GB for free users, sharing the default account level storage with other services like Gmail and Drive. Today, Google encourages everyone to pay for a Google One subscription to get more space, which is a bit of a bummer. Regardless, people still use Google Photos extensively.

According to the company, Photos has more than 1.5 billion monthly users, and it stores more than 9 trillion photos and videos. When using the Photos app on a phone, you are prompted to automatically upload your camera roll, which makes it easy to keep all your memories backed up (and edge ever closer to the free storage limit). Photos has also long offered almost magical search capabilities, allowing you to search for the content of images to find them. That may seem less impressive now, but it was revolutionary a decade ago. Google says users perform over 370 million searches in Photos each month.

An AI anniversary

Google is locked in with AI as it reimagines most of its products and services with Gemini. As it refreshes Photos for its 10th anniversary, the editor is getting a fresh dose of AI. And this may end up one of Google’s most used AI features—more than 210 million images are edited in Photos every month.

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Hidden AI instructions reveal how Anthropic controls Claude 4

Willison, who coined the term “prompt injection” in 2022, is always on the lookout for LLM vulnerabilities. In his post, he notes that reading system prompts reminds him of warning signs in the real world that hint at past problems. “A system prompt can often be interpreted as a detailed list of all of the things the model used to do before it was told not to do them,” he writes.

Fighting the flattery problem

An illustrated robot holds four red hearts with its four robotic arms.

Willison’s analysis comes as AI companies grapple with sycophantic behavior in their models. As we reported in April, ChatGPT users have complained about GPT-4o’s “relentlessly positive tone” and excessive flattery since OpenAI’s March update. Users described feeling “buttered up” by responses like “Good question! You’re very astute to ask that,” with software engineer Craig Weiss tweeting that “ChatGPT is suddenly the biggest suckup I’ve ever met.”

The issue stems from how companies collect user feedback during training—people tend to prefer responses that make them feel good, creating a feedback loop where models learn that enthusiasm leads to higher ratings from humans. As a response to the feedback, OpenAI later rolled back ChatGPT’s 4o model and altered the system prompt as well, something we reported on and Willison also analyzed at the time.

One of Willison’s most interesting findings about Claude 4 relates to how Anthropic has guided both Claude models to avoid sycophantic behavior. “Claude never starts its response by saying a question or idea or observation was good, great, fascinating, profound, excellent, or any other positive adjective,” Anthropic writes in the prompt. “It skips the flattery and responds directly.”

Other system prompt highlights

The Claude 4 system prompt also includes extensive instructions on when Claude should or shouldn’t use bullet points and lists, with multiple paragraphs dedicated to discouraging frequent list-making in casual conversation. “Claude should not use bullet points or numbered lists for reports, documents, explanations, or unless the user explicitly asks for a list or ranking,” the prompt states.

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