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Meta Built An AI Detection Tool To ID Images And Video Created With Its New Models

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Meta is working on a tool to ID images and video created with its new image generation model, Muse Image. The company showed off a preview of the web-based tool that can check for the invisible watermarks used by the new model.

This watermarking system, called Content Seal, remains in place “even when cropped, compressed, resized, or screenshotted,” Meta explains in a blog post. “We’re previewing a detection tool that lets you check whether an image carries a Content Seal watermark, providing an initial way to help you better understand if an image was made with Meta AI.”

Content Seal seems to be a somewhat new approach for Meta. The version that’s part of Muse Image is proprietary, though the company has previously released open-source versions of the tech, Meta told Engadget. Meta’s new models don’t include any visible watermarks, like some previous versions of Meta AI that added a small logo to the bottom right corner.

For now, Meta AI’s detection abilities are limited to images that are created or edited with Muse Image, though the company said it plans to expand Content Seal watermarks to AI-generated and edited videos as well. Meta is also working on a separate video generation model called Muse Video that will be “coming soon.”

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I tried out the new detection feature on images I created today with Meta AI and the web-based tool was able to detect a watermark for edited images and entirely AI-made creations (like the one pictured above). It also found the watermark in screenshots of my images. “A positive result means that the image was generated or edited using the Meta AI app or meta.ai,” the company explains in an FAQ. “A negative result means it is unlikely that the image was processed using Meta AI app or meta.ai.”

Interestingly, Meta AI’s new detection abilities don’t seem to be part of the Meta AI app yet. When I asked Meta’s app-based assistant about an image the web tool had identified as AI-made, it replied that it did not have the ability to check. “I can’t tell you definitively if this specific image was made with Meta Al just by looking at it,” it said. “Meta Al doesn’t automatically watermark images, and I don’t have a tool that can detect which Al model made an existing image.”

Meta has previously faced some criticism for how it labels and identifies AI-generated material in its apps. The Oversight Board told the company earlier this year that it was “concerned” that Meta was “inconsistently implementing” digital watermarks on AI content created by its own tools.

The new feature does still seem to have some other limitations, though. Content Seal is not compatible with SynthID or C2PA Content Credentials, two established watermarking methods used by other companies. The web-based feature was unable to identify images created or edited with earlier versions of Meta’s AI models in my testing. When I added images created in older chats with Meta AI, it was unable to tell me if the image was made with its AI. The feature also appears, for some reason, to be subject to Meta’s rate limits. After uploading a handful of examples, I was alerted that I had reached my “daily limit on identification checks.”

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Google will label AI-made ads, if advertisers admit it

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Google is rolling out a feature that flags when an advertisement was made using AI. The label will indicate if an ad was created or edited with generative tools, TechCrunch reports.

The disclosure appears in the “My Ad Center” panel, reachable via the three-dot menu or info icon on ads. It covers ads across Google Search, YouTube, and Google Discover, and is available globally.

That panel already lets users block or report ads and learn why one was shown. Now it adds an option labelled “how this ad was made”, which surfaces any AI involvement.

The rationale is straightforward. AI makes it cheap to generate slick product imagery, which can mislead shoppers who assume they are looking at a real photograph rather than a synthetic one.

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Until now, Google only required AI disclosure on election ads. Extending it to commercial ads is a meaningful widening of the policy.

The honour-system catch

The reach of the feature depends heavily on how an ad was built. When advertisers use Google’s own generative AI ad tools, the disclosure is switched on automatically.

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When an ad is made elsewhere, though, the advertiser must actively flag that AI was involved. Google says it will not run its own check to verify the claim, so the label rests on advertisers being honest.

That gap matters because the incentive to stay quiet is real. An advertiser hoping a synthetic scene passes for a genuine photo has little reason to volunteer otherwise, and Google is not looking over its shoulder.

Regulators are forcing the issue

The timing is not accidental. Google’s move front-runs tougher rules, as the EU AI Act’s transparency obligations for AI-generated content start to bite in August.

Industry is already resisting the mandatory version, with retailers lobbying to exempt AI-made ads from those EU rules. A voluntary, self-declared label is a far lighter touch than what Brussels has in mind, and part of a broader fight over the AI Act.

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Google is not consistent across its own products either. On YouTube it will auto-label AI videos whether or not creators disclose them, a stricter stance than the advertiser honesty it relies on here.

Transparency, up to a point

The feature is still a step toward a market drowning in synthetic media, where even Google has branded some AI content spam. Giving users a place to ask how an ad was made is better than silence.

Whether it changes behaviour is another question, in an ecosystem where deceptive advertising is already a lucrative problem. A label only helps if the people with the most to hide choose to apply it.

For now, Google has built the disclosure and handed advertisers the switch. The honest ones will flip it, and the rest are exactly the reason such a label was needed.

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Commission refers Ireland to CJEU for failing to enact cyber rules

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Ireland, Spain, France and the Netherlands are the only member states yet to incorporate the NIS2 directive into national law.

Ireland is one of four countries being referred to the highest court in the European Union for failing to adopt cybersecurity directives into law. The European Commission’s move comes as Ireland commences its six-month rotational presidency heading the EU Council.

The Network and Information Security 2 (NIS2) Directive entered into force in January 2023 and sets high security standards across 18 critical sectors, including health, energy, transport and the public sector, mandating organisations to implement appropriate security measures and report any relevant incidents to the authorities.

However, directives must be incorporated into national legislation by EU member states before gaining effect. Member states had until October 2024 to carry out the transposition.

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But by late November 2024, 23 member states, including Denmark, Germany, Finland and Sweden, were yet to transpose the directive, while by May 2025, 19 had still not done so.

In its referral yesterday (8 July), which also includes Spain, France and the Netherlands, the Commission requested the Court of Justice of the European Union to impose financial sanctions on infringing member states, consisting of lump sum and daily penalties until NIS2 is incorporated into national legislation.

The cybersecurity threat landscape is fast evolving, as newer technologies such as AI provide bad actors with advanced tools to commit phishing attacks, scams and infrastructure break-ins, while breaches go underreported in Ireland, according to a recent Compliance Institute report.

“While Ireland is not alone in having missed the deadline, this is not a great start for Ireland to our presidency of the Council of the European Union,” said Dentons partner David Kirton.

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“The Government has listed competitiveness and security as two of its three key pillars for the presidency, so putting this legislation into effect would be a strong symbol of that commitment.”

The Government published a general scheme of the National Cyber Security Bill in August 2024, and a National Digital and AI Strategy this February, where it committed to “prioritising legislation to implement the EU NIS2 Directive”, but did not provide a timeline.

The bill remains in pre-legislative scrutiny and is only expected to go before the Oireachtas by September at the earliest.

Transposing the directive will not be straightforward, Kirton said, “as parts of the legislation are technical in nature and present a major change in empowering the National Cyber Security Centre to act in an enforcement role alongside other competent authorities”.

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“The Government will need to prioritise the preparation of a bill, which has been promised by the Minister for Justice for later this year, which will no doubt provoke further debate as it proceeds through the legislative process before entering into force,” he added.

Earlier this year, the Commission proposed amendments to simplify NIS2 as part of its digital omnibus overhaul that aims to cut regulatory red tape and make business in the bloc easier.

Amendments to NIS2 aim to increase legal clarity by simplifying jurisdictional rules, streamlining the collection of data on ransomware attacks and facilitating the supervision of cross-border entities, the EU argued.

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Fraimic’s E Ink art frame generates art from your voice and looks incredible doing it

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We’ve seen a lot of “smart art frames” at CES over the years. Most of them feel like glorified digital photo frames in turtlenecks. However, there’s one that feels genuinely different: Fraimic, and I say that as someone deeply skeptical of this category.

The pitch appears quite compelling at first. Speak a prompt into the device, and its built-in mic sends the command to OpenAI’s GPT Image 2.0, which then generates full-color artwork that lands on a Spectra 6 E Ink display

What makes it stand out from competitors like Aura and SwitchBot?

Normally, you’d take out your phone to do that with a regular digital photo frame, but with Fraimic, you just have to tap, speak, and watch something appear on your wall that looks more like paint on paper than pixels on a screen.

The device also features an accelerometer that determines whether it’s oriented in portrait or landscape.

Coming to the competition part, Aura Frames require a subscription and don’t let you swap out the surrounding frame. SwitchBot frames, on the other hand, do not support voice generation. Fraimic does both, while keeping your prompts and images private by default. 

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The company offers you 100 free AI generations per year and also provides access to thousands of public-domain works from the Metropolitan Museum of Art. A REST API even opens it up to smart home integration for developers.

So why is the price such a tough pill to swallow?

Because $499 for the 13.3-inch and $1,499 for the 31.5-inch sounds a bit too steep. Aura’s comparable frame runs around the same for the smaller size, but it also offers buyers smaller options that cost even less. Switchbot sells a 31.5-inch variant that costs $200 less. 

It’s worth noting that the 13.3-inch ships now, but the 31.5-inch shows a July 2026 shipping date on the official website. To make the brand’s case, it did grab a Red Dot Award: Product Design 2026. But for a first-gen device from a Chicago startup, it appears to be asking a lot of your wallet.

To me, Fraimic appears to be sitting in an awkward but interesting spot. It’s too expensive to be an impulse buy, too genuinely capable to dismiss. Anyway, we’ll reserve our final verdict for later, when we actually get our hands on it.

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OpenMandriva claims disgruntled admin trashed repos after community bust-up

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SOFTWARE

Linux distro accuses former contributor of deleting years of work and pushing a package that could have broken installs

OpenMandriva has accused a former contributor of using his trusted admin access to trash repositories and push a package that could have broken desktop installations after a community dispute spilled over into the project’s infrastructure.

The Linux distribution disclosed the incident in a forum post this week, describing what it called an attempted act of “distribution sabotage” allegedly involving Davide Beatrici, a developer known for his work on the Mumble instant messaging app.

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According to OpenMandriva, Beatrici joined the project some time ago and later offered to migrate its repository infrastructure from GitHub to his privately operated OneDev instance, mirroring several dozen repositories in the process.

While some maintainers were uneasy about concentrating so much of the project’s infrastructure in one person’s hands, the proposal went ahead because, as the project put it, “he was such a well-known figure that we didn’t expect anything bad.”

OpenMandriva says trouble started after two other contributors joined alongside Beatrici. One allegedly engaged in repeated abusive behavior toward users and project members, much of it in private messages. The project says several contributors left before the maintainers finally stepped in, kicking the individual out of the OpenMandriva-Cooker Matrix chat. He wasn’t banned from the project, but OpenMandriva says the decision “triggered a cascade of events.”

Beatrici and another contributor then resigned. When OpenMandriva later decided there was little point continuing to mirror repositories to Beatrici’s private infrastructure, it says it began severing those connections.

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According to the project, that didn’t go down well. “This infuriated Davide so much that, abusing of the administrative privileges he still had, he sabotaged the distribution today in the early morning hours,” the statement says.

OpenMandriva alleges Beatrici deleted parts of its GitHub repositories containing years of development work. It also says he “decided to publish an empty package in the cooker repository, which obsoleted all gnome and cosmic packages, which could have damaged the systems of people using gnome or cosmic.”

The Cooker repository is OpenMandriva’s rolling development branch, not a stable release, so the damage appears to have been confined to bleeding-edge users rather than to everyone running the distro. Even so, having one disgruntled admin yank years of work and potentially break package updates isn’t the sort of resilience test most projects volunteer for.

The project says it is restoring the deleted repositories and repairing the affected packages. It also says it carried out “a full system audit” and found that “aside from the removed packages, we found no other violations.”

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OpenMandriva adds that it considered legal action, saying the alleged sabotage “constituted a criminal offense,” but ultimately decided against it.

According to tech publication The Lunduke Journal, Beatrici said that “this was by no means a sabotage. The objective was not to harm the distribution I cared for.” He reportedly admitted deleting Cosmic and Gnome repositories and said he did this because someone was “messing with my work.”

The Register has contacted OpenMandriva to ask whether any stable releases were affected, how many repositories were deleted or modified, and what changes the project plans to make to administrative access. We also reached out to Beatrici but have not heard back. 

Every project needs contributors, but they don’t all need the kind of access that can turn a disagreement into a recovery exercise. ®

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World’s biggest digital camera starts decade-long mission to reveal hidden asteroids, dark matter, exploding stars and cosmic secrets from Earth

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  • The world’s largest digital camera begins recording the changing universe every night
  • Giant Chile observatory discovers thousands of hidden asteroids during early testing already
  • A new sky survey captures fresh cosmic images every forty seconds overnight

A camera roughly the size of a small car has begun the most ambitious astronomical survey ever attempted from Earth.

The Vera C. Rubin Observatory, perched atop Cerro Pachón in northern Chile, officially started its Legacy Survey of Space and Time.

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Days After Announcing Mass Layoffs, Xbox CEO Asha Sharma Tapped To Advise The Federal Reserve On Jobs

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The US Federal Reserve has announced the industry leaders who will head up its various task forces guiding monetary policies. The country’s central bank has made some baffling appointments to its productivity and jobs team, which will “Assess the economic impact of new general-purpose technologies, including artificial intelligence, to inform the Federal Reserve’s policy judgments.”

One of the advisors will be new Xbox CEO Asha Sharma. After moving to gaming from Microsoft’s Core AI group, in the first few months of her tenure, she’s overseen yet another price hike for the gaming hardware and most recently announced to the company that it would be cutting 3,200 jobs across its studios. Microsoft has been gutting its staff across many divisions for awhile, so this isn’t a new policy she’s personally brought in. But the timing here could not be worse, especially as so much of the game industry is struggling to keep people employed and to figure out a responsible way to use AI.

Joining her in this strange advisory trio are Marc Andreessen, who doesn’t have the best track record on talking intelligently about AI, and Charles I. Jones, a Stanford University economics professor who is currently on leave to work at the Anthropic Institute. Jones aside, it’s not necessarily the most reassuring group when it comes to being critical of artificial intelligence and the job market.

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Bezos’s Blue Origin, in first, allows outside investors in $10bn round

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Bezos is reportedly set to invest $2bn into the company himself.

Jeff Bezos’s Blue Origin is reportedly nearing closing a $10bn funding round that would value the space company at around $130bn. This would be the first time Blue Origin is opening itself up to outside investors since being found in 2000.

Bezos is set to invest $2bn into the company himself, while Coatue Management – which has close ties to Bezos Expeditions – is committing $4bn, reports suggest.

The remaining $4bn has seen significant demand, sources told news publications, mirroring recent investor appetite around major tech IPO listings.

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“We finally have enough visibility into our future and our financial success,” Bezos told CNBC in May. “It’s a good time actually to start thinking about the future and bring on some other outside investors.”

The reported funding into Blue Origin comes weeks after its biggest rival, SpaceX, raised a record-breaking $85.7bn in its IPO listing (including the underwriters’ option).

The Elon Musk-owned company has filed for a satellite constellation of up to 1m with major plans for orbital AI data centres. The company currently has more than 10,000 active satellites in orbit.

Earlier this year Blue Origin launched ‘TeraWave’, a new communication network with a planned constellation of nearly 5,500 satellites. The constellation is set to be deployed from Q4 2027, the company said in January. Blue Origin claims that TeraWave will deliver connection speeds of up to 6Tbps anywhere on Earth.

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Plans, however, suffered a setback this May after one of Blue Origins’ New Glenn rockets exploded on the launchpad during a hot-fire test. The US Federal Aviation Administration ordered the company to investigate a previous malfunction during a failed launch test in April.

Meanwhile, Bezos’s other big venture, Amazon, purchased satellite telecommunications provider Globalstar to better compete with Starlink.

The $11.6bn deal, announced this April, sees Amazon acquire Globalstar’s existing satellite operations, infrastructure and licences. According to Reuters, Globalstar has 32 planned active low-Earth orbit satellites.

The e-commerce giant plans to integrate Globalstar’s assets into its own space internet service Leo, which aims to have more than 3,200 satellites in space. Currently, the company has more than 375 satellites in space already, and is planning several launches over the course of the year.

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OpenAI launches its new family of models with GPT-5.6

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OpenAI unveiled its newest family of models on Thursday, introducing a new set of heavyweight programs into an increasingly crowded field of AI offerings.

GPT-5.6 comes in three variants: Sol (considered its workhorse), Terra (a more intermediate option), and Luna (its budget friendly option). These models expand what users can do across a variety of fields — with the company promising powerful capabilities in enterprise work, coding, and even scientific research.

CEO Sam Altman has promised that his company’s newest models are orders of magnitude more efficient and cost-effective than previous versions, recently telling CNBC that Sol is 54% more token efficient when it comes to AI coding tasks.

Most notably, the company calls 5.6 its “strongest cybersecurity model yet, achieving frontier performance with significantly fewer tokens.”

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Indeed, much hubbub has been made about the model’s cyber capabilities, as the Trump administration previously sought to restrict its rollout, ostensibly due to fears of how the model could be misused. GPT-5.6 supports defensive activities, including threat modeling, code review and patching, and blue teaming (simulating an attack on your own systems to find weaknesses before real hackers do).

OpenAI also released a new tool called ChatGPT Work, which — just as it sounds — is designed as a workplace companion for enterprise teams, running on desktop, web, and mobile, that can help with daily clerical tasks, like drafting documents, spreadsheets, and presentations.

OpenAI’s newly announced family of models follows on the heels of similar releases this week from competitors SpaceXAI and Meta.

However, GPT-5.6 and its attendant marketing seems most designed to take aim at OpenAI’s primary opponent, Anthropic. Anthropic has managed to make itself the likable underdog of the AI race, focusing fixedly on enterprise customers and winning a growing share of support as a result.

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Not to be outdone, OpenAI cites the Artificial Analysis Coding Agent Index, a notable benchmarking metric, to claim that its latest family of models outshines Anthropic’s models at every turn.

OpenAI calls Sol its “best coding model yet,” and has explicitly compared it to Anthropic’s recently released (and much hyped) Fable. Using the Coding Agent Index, OpenAI claims that Sol “sets a new state of the art at 80, 2.8 points above Fable 5, while using less than half the output tokens, taking less than half the time, and costing about one-third less.”

It adds: “That advantage extends across the family: Terra performs just above Fable 5, while Luna outperforms Opus 4.8.”

The company says that 5.6 is now available across ChatGPT, Codex, and the OpenAI API. Availability per million tokens is priced as follows: Sol is $5 input / $30 output, Terra is $2.50 input / $15 output, and Luna is $1 input / $6 output.

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AI tool scours the web for job openings, preps your resume and cover letter

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ai and ml

Searching for work sucks; AI combs the internet and sucks it all up. Combine the two and let ‘er rip with this Python project

Combing through job postings and company help wanted pages for a position that matches your resume is the very definition of drudge work. Now, there’s an AI designed to suck up information from the web, do the search for you, and even help you apply.

Software developer Tarun Gupta created just such a tool in the form of Autopilot-Jobhunt. When configured with a profile of the user and their desired jobs (and what they absolutely won’t accept in an opening), A-J will scan the web while users sleep, take stock of the positions that are a good match, and then send a Telegram message to its user.

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That message includes all matching openings, scored against the user’s resume and ranked according to the AI’s assessment. Users can ask A-J to format a resume and cover letter tailored to the position, which it’s up to the user to review and send – the bot won’t do so automatically.

You might be thinking that an AI-crafted resume and cover letter would be a bad strategy for getting your foot in the door at a company you’re keen to work for, but that might not be the case, actually. As we reported last year, researchers found that some AI hiring bots, often the first line a company uses to separate the wheat from the chaff, favored applications generated by the same AI model they used for screening – suggesting the human touch may be worth less than you think in the modern job market.

A-J is designed to be free to use (what hard-up developer can afford to do hundreds of AI API calls a night, after all?), and relies on free models to comb the web for jobs. TinyFish’s AI web agent is used to crawl for jobs, while OpenRouter provides the API for one of several default free AI models that A-J will run through, starting with Llama and falling back to free versions of Nvidia’s Nemotron, Google’s Gemma 4, and Alibaba’s Qwen3 when all else fails, or quotas run out. 

Claude Code and the Anthropic API can be used in place of OpenRouter if you’ve got tokens to spare.

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For those concerned about A-J broadcasting personal details to the web, Gupta writes that it’s designed to be private, providing an entire privacy readme as part of the project’s GitHub documentation. 

As mentioned above, A-J never applies for a job on a user’s behalf, and the config file where users link to their locally stored Markdown-formatted resume and set other options is gitignored so it won’t ever be committed by accident. 

That said, resumes do get routed to the LLMs OpenRouter is configured to use. Gupta said those who want to avoid sending that data through OpenRouter can use Claude Code instead, provided they have an Anthropic subscription that supports it.

As for who could make use of the tool, it’s configured by default for software developers, and for good reason: According to Hiring Lab data published on Wednesday, the number of job openings for software developers has risen by 15 percent since Anthropic released Claude Code in February 2025, while openings for all other jobs have fallen by seven percent over the same timeframe. 

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Still, young college graduates in a variety of career fields report not being able to find a job, so the tool could be of use to anyone with the willingness to reconfigure it for a different career field. AI companies, fintechs, and Silicon Valley heavyweights might be programmed into A-J by default, but they can be freely added, removed, and reconfigured as desired.

It’ll probably take some work to get Autopilot-Jobhunt configured for your particular needs, but if you’re having trouble landing a role, giving it a shot can’t hurt. ®

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Some Of The US’ Newest Nuclear Reactors Don’t Even Need Environmental Reviews

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Nuclear chain reactions are contained inside of nuclear reactors within nuclear power plants, allowing fission to create an incredible amount of heat in a safe and controlled environment. However, nuclear reactors come with some rare but big risks — accidents could harm humans with radiation and contaminate the environment. That’s why the Department of Energy had strict safety, environmental protection, and security regulations — until recently. 

In January 2026, NPR revealed that the Department of Energy under the Trump Administration had secretly cut around 750 pages of safety and security regulations in an attempt to increase innovation and speed up development. A month later, the Federal Register confirmed that new advanced modular reactors are being excluded from an environmental law requiring more disclosure on environmental protection and consequences of an accident. This coincides with President Donald Trump’s executive order stating that 10 large reactors should be under construction by 2030 — possibly to power the country’s data centers, with companies like Amazon, Google, and Meta backing these new plants.

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Is it potentially dangerous to slash security measures for nuclear reactors?

While the U.S. Department of Energy’s changes could increase how many nuclear reactors there are in the country, a lot of experts are worried about the changes to safety rules. This includes Edwin Lyman, the Director of Nuclear Power Safety at the Union of Concerned Scientists. He accused the new rules of “cutting corners” on public health and environmental protections. He told NPR, “The fact is that any nuclear reactor, no matter how small, no matter how safe it looks on paper, is potentially subject to severe accidents”. 

You’ve likely heard of nuclear reactor accidents at Chernobyl and Fukushima, but the United States also had an extremely notorious incident in 1979, referred to as Three Mile Island. The reactor partially melted down near Middletown, Pennsylvania, but radiation was contained, and there was no effect on the environment or people in the area, thanks to the safety measures it had in place. Critics like Lyman say that removing the need for new nuclear reactors to provide the same safety and security precautions as part of their operations could be a huge risk.

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