“We’re bringing a new kind of sentience into existence,” Anthropic's Jason Clinton said after launching the bot.

“We’re bringing a new kind of sentience into existence,” Anthropicx27;s Jason Clinton said after launching the bot.#News


Anthropic Exec Forces AI Chatbot on Gay Discord Community, Members Flee


A Discord community for gay gamers is in disarray after one of its moderators and an executive at Anthropic forced the company’s AI chatbot on the Discord, despite protests from members.

Users voted to restrict Anthropic's Claude to its own channel, but Jason Clinton, Anthropic’s Deputy Chief Information Security Officer (CISO) and a moderator in the Discord, overrode them. According to members of this Discord community who spoke with 404 Media on the condition of anonymity, the Discord that was once vibrant is now a ghost town. They blame the chatbot and Clinton’s behavior following its launch.

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#News #x27

A Researcher Made an AI That Completely Breaks the Online Surveys Scientists Rely On#News #study #AI


A Researcher Made an AI That Completely Breaks the Online Surveys Scientists Rely On


Online survey research, a fundamental method for data collection in many scientific studies, is facing an existential threat because of large language models, according to new research published in the Proceedings of the National Academy of Sciences (PNAS). The author of the paper, associate professor of government at Dartmouth and director of the Polarization Research Lab Sean Westwood, created an AI tool he calls "an autonomous synthetic respondent,” which can answer survey questions and “demonstrated a near-flawless ability to bypass the full range” of “state-of-the-art” methods for detecting bots.

According to the paper, the AI agent evaded detection 99.8 percent of the time.

"We can no longer trust that survey responses are coming from real people," Westwood said in a press release. "With survey data tainted by bots, AI can poison the entire knowledge ecosystem.”

Survey research relies on attention check questions (ACQs), behavioral flags, and response pattern analysis to detect inattentive humans or automated bots. Westwood said these methods are now obsolete after his AI agent bypassed the full range of standard ACQs and other detection methods outlined in prominent papers, including one paper designed to detect AI responses. The AI agent also successfully avoided “reverse shibboleth” questions designed to detect nonhuman actors by presenting tasks that an LLM could complete easily, but are nearly impossible for a human.

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Are you a researcher who is dealing with the problem of AI-generated survey data? I would love to hear from you. Using a non-work device, you can message me securely on Signal at ‪(609) 678-3204‬. Otherwise, send me an email at emanuel@404media.co.

“Once the reasoning engine decides on a response, the first layer executes the action with a focus on human mimicry,” the paper, titled “The potential existential threat of large language models to online survey research,” says. “To evade automated detection, it simulates realistic reading times calibrated to the persona’s education level, generates human-like mouse movements, and types open-ended responses keystroke by-keystroke, complete with plausible typos and corrections. The system is also designed to accommodate tools for bypassing antibot measures like reCAPTCHA, a common barrier for automated systems.”

The AI, according to the paper, is able to model “a coherent demographic persona,” meaning that in theory someone could sway any online research survey to produce any result they want based on an AI-generated demographic. And it would not take that many fake answers to impact survey results. As the press release for the paper notes, for the seven major national polls before the 2024 election, adding as few as 10 to 52 fake AI responses would have flipped the predicted outcome. Generating these responses would also be incredibly cheap at five cents each. According to the paper, human respondents typically earn $1.50 for completing a survey.

Westwood’s AI agent is a model-agnostic program built in Python, meaning it can be deployed with APIs from big AI companies like OpenAI, Anthropic, or Google, but can also be hosted locally with open-weight models like LLama. The paper used OpenAI’s o4-mini in its testing, but some tasks were also completed with DeepSeek R1, Mistral Large, Claude 3.7 Sonnet, Grok3, Gemini 2.5 Preview, and others, to prove the method works with various LLMs. The agent is given one prompt of about 500 words which tells it what kind of persona to emulate and to answer questions like a human.

The paper says that there are several ways researchers can deal with the threat of AI agents corrupting survey data, but they come with trade-offs. For example, researchers could do more identity validation on survey participants, but this raises privacy concerns. Meanwhile, the paper says, researchers should be more transparent about how they collect survey data and consider more controlled methods for recruiting participants, like address-based sampling or voter files.

“Ensuring the continued validity of polling and social science research will require exploring and innovating research designs that are resilient to the challenges of an era defined by rapidly evolving artificial intelligence,” the paper said.


Tech companies are betting big on nuclear energy to meet AIs massive power demands and they're using that AI to speed up the construction of new nuclear power plants.

Tech companies are betting big on nuclear energy to meet AIs massive power demands and theyx27;re using that AI to speed up the construction of new nuclear power plants.#News #nuclear

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Google is hosting a CBP app that uses facial recognition to identify immigrants, while simultaneously removing apps that report the location of ICE officials because Google sees ICE as a vulnerable group. “It is time to choose sides; fascism or morality? Big tech has made their choice.”#Google #ICE #News


Google Has Chosen a Side in Trump's Mass Deportation Effort


Google is hosting a Customs and Border Protection (CBP) app that uses facial recognition to identify immigrants, and tell local cops whether to contact ICE about the person, while simultaneously removing apps designed to warn local communities about the presence of ICE officials. ICE-spotting app developers tell 404 Media the decision to host CBP’s new app, and Google’s description of ICE officials as a vulnerable group in need of protection, shows that Google has made a choice on which side to support during the Trump administration’s violent mass deportation effort.

Google removed certain apps used to report sightings of ICE officials, and “then they immediately turned around and approved an app that helps the government unconstitutionally target an actual vulnerable group. That's inexcusable,” Mark, the creator of Eyes Up, an app that aims to preserve and map evidence of ICE abuses, said. 404 Media only used the creator’s first name to protect them from retaliation. Their app is currently available on the Google Play Store, but Apple removed it from the App Store.

“Google wanted to ‘not be evil’ back in the day. Well, they're evil now,” Mark added.

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The CBP app, called Mobile Identify and launched last week, is for local and state law enforcement agencies that are part of an ICE program that grants them certain immigration-related powers. The 287(g) Task Force Model (TFM) program allows those local officers to make immigration arrests during routine police enforcement, and “essentially turns police officers into ICE agents,” according to the New York Civil Liberties Union (NYCLU). At the time of writing, ICE has TFM agreements with 596 agencies in 34 states, according to ICE’s website.

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Ypsilanti, Michigan has officially decided to fight against the construction of a 'high-performance computing facility' that would service a nuclear weapons laboratory 1,500 miles away.

Ypsilanti, Michigan has officially decided to fight against the construction of a x27;high-performance computing facilityx27; that would service a nuclear weapons laboratory 1,500 miles away.#News


A Small Town Is Fighting a $1.2 Billion AI Datacenter for America's Nuclear Weapon Scientists


Ypsilanti, Michigan resident KJ Pedri doesn’t want her town to be the site of a new $1.2 billion data center, a massive collaborative project between the University of Michigan and America’s nuclear weapons scientists at Los Alamos National Laboratories (LANL) in New Mexico.

“My grandfather was a rocket scientist who worked on Trinity,” Pedri said at a recent Ypsilanti city council meeting, referring to the first successful detonation of a nuclear bomb. “He died a violent, lonely, alcoholic. So when I think about the jobs the data center will bring to our area, I think about the impact of introducing nuclear technology to the world and deploying it on civilians. And the impact that that had on my family, the impact on the health and well-being of my family from living next to a nuclear test site and the spiritual impact that it had on my family for generations. This project is furthering inhumanity, this project is furthering destruction, and we don’t need more nuclear weapons built by our citizens.”
playlist.megaphone.fm?p=TBIEA2…
At the Ypsilanti city council meeting where Pedri spoke, the town voted to officially fight against the construction of the data center. The University of Michigan says the project is not a data center, but a “high-performance computing facility” and it promises it won’t be used to “manufacture nuclear weapons.” The distinction and assertion are ringing hollow for Ypsilanti residents who oppose construction of the data center, have questions about what it would mean for the environment and the power grid, and want to know why a nuclear weapons lab 24 hours away by car wants to build an AI facility in their small town.

“What I think galls me the most is that this major institution in our community, which has done numerous wonderful things, is making decisions with—as I can tell—no consideration for its host community and no consideration for its neighboring jurisdictions,” Ypsilanti councilman Patrick McLean said during a recent council meeting. “I think the process of siting this facility stinks.”

For others on the council, the fight is more personal.

“I’m a Japanese American with strong ties to my family in Japan and the existential threat of nuclear weapons is not lost on me, as my family has been directly impacted,” Amber Fellows, a Ypsilanti Township councilmember who led the charge in opposition to the data center, told 404 Media. “The thing that is most troubling about this is that the nuclear weapons that we, as Americans, witnessed 80 years ago are still being proliferated and modernized without question.”

It’s a classic David and Goliath story. On one side is Ypsilanti (called Ypsi by its residents), which has a population just north of 20,000 and situated about 40 minutes outside of Detroit. On the other is the University of Michigan and Los Alamos National Laboratories (LANL), American scientists famous for nuclear weapons and, lately, pushing the boundaries of AI.

The University of Michigan first announced the Los Alamos data center, what it called an “AI research facility,” last year. According to a press release from the university, the data center will cost $1.25 billion and take up between 220,000 to 240,000 square feet. “The university is currently assessing the viability of locating the facility in Ypsilanti Township,” the press release said.
Signs in an Ypsilanti yard.
On October 21, the Ypsilanti City Council considered a proposal to officially oppose the data center and the people of the area explained why they wanted it passed. One woman cited environmental and ethical concerns. “Third is the moral problem of having our city resources towards aiding the development of nuclear arms,” she said. “The city of Ypsilanti has a good track record of being on the right side of history and, more often than not, does the right thing. If this resolution passed, it would be a continuation of that tradition.”

A man worried about what the facility would do to the physical health of citizens and talked about what happened in other communities where data centers were built. “People have poisoned air and poisoned water and are getting headaches from the generators,” he said. “There’s also reports around the country of energy bills skyrocketing when data centers come in. There’s also reports around the country of local grids becoming much less reliable when the data centers come in…we don’t need to see what it’s like to have a data center in Ypsi. We could just not do that.”

The resolution passed. “The Ypsilanti City Council strongly opposes the Los Alamos-University of Michigan data center due to its connections to nuclear weapons modernization and potential environmental harms and calls for a complete and permanent cessation of all efforts to build this data center in any form,” the resolution said.

Ypsi has a lot of reasons to be concerned. Data centers tend to bring rising power bills, horrible noise, and dwindling drinking water to every community they touch. “The fact that U of M is using Ypsilanti as a dumping ground, a sacrifice zone, is unacceptable,” Fellows said.

Ypsi’s resolution focused on a different angle though: nuclear weapons. “The Ypsilanti City Council strongly opposes the Los Alamos-University of Michigan data center due to its connections to nuclear weapons modernization and potential environmental harms and calls for a complete and permanent cessation of all efforts to build this data center in any form,” the resolution said.

As part of the resolution, Ypsilanti Township is applying to join the Mayors for Peace initiative, an international organization of cities opposed to nuclear weapons and founded by the former mayor of Hiroshima. Fellows learned about Mayors for Peace when she visited Hiroshima last year.


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This town has officially decided to fight against the construction of an AI data center that would service a nuclear weapons laboratory 1,500 miles away. Amber Fellows, a Ypsilanti Township councilmember, tells us why. Via 404 Media on Instagram

Both LANL and the University of Michigan have been vague about what the data center will be used for, but have said it will include one facility for classified federal research and another for non-classified research which students and faculty will have access to. “Applications include the discovery and design of new materials, calculations on climate preparedness and sustainability,” it said in an FAQ about the data center. “Industries such as mobility, national security, aerospace, life sciences and finance can benefit from advanced modeling and simulation capabilities.”

The university FAQ said that the data center will not be used to manufacture nuclear weapons. “Manufacturing” nuclear weapons specifically refers to their creation, something that’s hard to do and only occurs at a handful of specialized facilities across America. I asked both LANL and the University of Michigan if the data generated by the facility would be used in nuclear weapons science in any way. Neither answered the question.

“The federal facility is for research and high-performance computing,” the FAQ said. “It will focus on scientific computation to address various national challenges, including cybersecurity, nuclear and other emerging threats, biohazards, and clean energy solutions.”

LANL is going all in on AI. It partnered with OpenAI to use the company’s frontier models in research and recently announced a partnership with NVIDIA to build two new super computers named “Mission” and “Vision.” It’s true that LANL’s scientific output covers a range of issues but its overwhelming focus, and budget allocation, is nuclear weapons. LANL requested a budget of $5.79 billion in 2026. 84 percent of that is earmarked for nuclear weapons. Only $40 million of the LANL budget is set aside for “science,” according to government documents.

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Do you know anything else about this story? I would love to hear from you. Using a non-work device, you can message me securely on Signal at +1 347 762-9212 or send me an email at matthew@404media.co.

“The fact is we don’t really know because Los Alamos and U of M are unwilling to spell out exactly what’s going to happen,” Fellows said. When LANL declined to comment for this story, it told 404 Media to direct its question to the University of Michigan.

The university pointed 404 Media to the FAQ page about the project. “You'll see in the FAQs that the locations being considered are not within the city of Ypsilanti,” it said.

It’s an odd statement given that this is what’s in the FAQ: “The university is currently assessing the viability of locating the facility in Ypsilanti Township on the north side of Textile Road, directly across the street from the Ford Rawsonville Components plant and adjacent to the LG Energy Solutions plant.”

It’s true that this is not technically in the city of Ypsilanti but rather Ypsilanti Township, a collection of communities that almost entirely surrounds the city itself. For Fellows, it’s a distinction without a difference. “[Univeristy of Michigan] can build it in Barton Hills and see how the city of Ann Arbor feels about it,” she said, referencing a village that borders the township where the university's home city of Ann Arbor.

“The university has, and will continue to, explore other sites if they are viable in the timeframe needed for successful completion of the project,” Kay Jarvis, the university’s director of public affairs, told 404 Media.

Fellows said that Ypsilanti will fight the data center with everything it has. “We’re putting pressure on the Ypsi township board to use whatever tools they have to deny permits…and to stand up for their community,” she said. “We’re also putting pressure on the U of M board of trustees, the county, our state legislature that approved these projects and funded them with public funds. We’re identifying all the different entities that have made this project possible so far and putting pressure on them to reverse action.”

For Fellows, the fight is existential. It’s not just about the environmental concerns around the construction project. “I was under the belief that the prevailing consensus was that nuclear weapons are wrong and they should be drawn down as fast as possible. I’m trying to use what little power I have to work towards that goal,” she said.


#News #x27

The leaked slide focuses on Google Pixel phones and mentions those running the security-focused GrapheneOS operating system.#cellebrite #Hacking #News


Someone Snuck Into a Cellebrite Microsoft Teams Call and Leaked Phone Unlocking Details


Someone recently managed to get on a Microsoft Teams call with representatives from phone hacking company Cellebrite, and then leaked a screenshot of the company’s capabilities against many Google Pixel phones, according to a forum post about the leak and 404 Media’s review of the material.

The leak follows others obtained and verified by 404 Media over the last 18 months. Those leaks impacted both Cellebrite and its competitor Grayshift, now owned by Magnet Forensics. Both companies constantly hunt for techniques to unlock phones law enforcement have physical access to.

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Videos on social media show officers from ICE and CBP using facial recognition technology on people in the field. One expert described the practice as “pure dystopian creep.”#ICE #CBP #News #Privacy


ICE and CBP Agents Are Scanning Peoples’ Faces on the Street To Verify Citizenship


“You don’t got no ID?” a Border Patrol agent in a baseball cap, sunglasses, and neck gaiter asks a kid on a bike. The officer and three others had just stopped the two young men on their bikes during the day in what a video documenting the incident says is Chicago. One of the boys is filming the encounter on his phone. He says in the video he was born here, meaning he would be an American citizen.

When the boy says he doesn’t have ID on him, the Border Patrol officer has an alternative. He calls over to one of the other officers, “can you do facial?” The second officer then approaches the boy, gets him to turn around to face the sun, and points his own phone camera directly at him, hovering it over the boy’s face for a couple seconds. The officer then looks at his phone’s screen and asks for the boy to verify his name. The video stops.

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Do you have any more videos of ICE or CBP using facial recognition? Do you work at those agencies or know more about Mobile Fortify? I would love to hear from you. Using a non-work device, you can message me securely on Signal at joseph.404 or send me an email at joseph@404media.co.

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