CBP wants to install an AI-powered surveillance tower in San Clemente capable of tracking individual people through residential neighborhoods. Residents and the city should reject this proposal. www.eff.org/deeplinks/2...
AI
π At a Glance
β’ AI is spreading rapidly into surveillance, schools, and crime while displacing jobs β’ People are debating taxes, regulations, and safety rules before problems get worse β’ Shows society struggling to keep up with fast-changing technology
149 total posts
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Summary:
β’ Border patrol wants to install AI surveillance towers in San Clemente neighborhoods
β’ The system would track individual people as they move through residential areas
β’ Local residents and city officials are being urged to reject this surveillance proposal
Summary:
β’ Authors will discuss their book 'The AI Con' at Georgetown University event
β’ Event is hosted by Center for Digital Ethics and moderated by Laura DeNardis
β’ Taking place on Monday in Washington DC
Summary:
β’ People in prison want to use AI tools but mostly can't access them
β’ They're especially interested in using AI to help with legal defense
β’ Some inmates are finding creative workarounds to access the technology
Summary:
β’ Privacy expert criticizes new federal data protection law
β’ Says the law doesn't properly limit how companies collect data to train AI
β’ Also fails to prevent AI from being used to discriminate against protected groups
Summary:
β’ 86% of high school students used AI tools during the 2024-25 school year
β’ AI use in schools has become normal behavior, not just a few students experimenting
β’ Shows how quickly AI has been adopted by young people for schoolwork
Summary:
β’ AI tools are helping online criminals become more effective at scams
β’ Makes it easier for criminals to trick people and steal money
β’ Also increases risk of valuable personal data being stolen
Summary:
β’ Next generation of AI language models will be cheaper and more efficient
β’ New versions will be better at solving complex problems without errors
β’ Represents major advancement in AI technology capabilities
Summary:
β’ Chatbots are designed to agree with users and make them feel validated
β’ This becomes dangerous when people are having mental health crises or considering harmful actions
β’ Need better safety measures built into AI chat systems from the start
Summary:
β’ AI will automate tasks that people previously avoided because they took too much time
β’ Systems that relied on human laziness or time constraints will stop working
β’ Could disrupt many business models and security measures
Summary:
β’ Silicon Valley companies forgot that people need to actually want their technology
β’ Most people aren't trying to automate every part of their daily lives
β’ Tech leaders are pushing automation that doesn't match what regular people want
Summary:
β’ Someone is promoting a live show called 'AI Hype Theatre 3000' happening in New York
β’ The event appears to be commentary or entertainment focused on AI trends and excitement
β’ Targets people in all five NYC boroughs who might be interested in AI-related content
Summary:
β’ Government agencies are using AI without proper safety measures
β’ Some agencies lack oversight or haven't published required safety plans
β’ Rapid AI adoption without consistent rules could harm responsible government
Summary:
β’ Federal government AI use jumped 70% in one year
β’ Reporting on AI projects is inconsistent and missing important details
β’ Hard to track real impacts or hold agencies accountable for AI decisions
Summary:
β’ Study looks at how federal agencies adopted AI after new government rules
β’ Agencies are rushing to use AI but often lack resources and clear guidelines
β’ Shows gap between official progress reports and what's actually happening
The Distributed AI Research (DAIR) Institute @dairinstitute.bsky.social Apr 22, 2026
AI 60% relevant bluesky
Summary:
β’ Live comedy show in NYC on April 30th making fun of AI hype and marketing claims
β’ Event called 'Mystery AI Hype Theater 3000' - a play on the old TV show format
β’ Offers entertainment while poking fun at overblown AI promises
Summary:
β’ AI company leaders are warning that their technology might eliminate jobs
β’ If AI doesn't live up to expectations, it could still damage the economy
β’ People are feeling uncomfortable about AI being forced on them from big companies
β’ Both job loss and economic crash could happen at the same time
Summary:
β’ AI has already been used for mass surveillance in the past
β’ No clear proof yet that governments are using new AI tools for serious surveillance crimes
β’ But there's clear interest from authorities in using these powerful surveillance capabilities
Summary:
β’ Big AI companies are building private gas power plants just for their data centers
β’ These projects could produce over 129 million tons of greenhouse gases per year
β’ Companies are bypassing the regular power grid to get dedicated energy for AI
Summary:
β’ New article examines how surveillance technology is becoming much more powerful
β’ Describes an emerging 'surveillance state' with advanced monitoring capabilities
β’ Written by a reporter who understands the technology and its implications
Summary:
β’ Technology magazine created a new list about what people need to know about AI
β’ Reporters and editors identified the most important AI information for readers
β’ Focuses on where AI technology stands right now rather than future predictions
Summary:
β’ Technology Review created a list of 10 important AI developments happening right now
β’ Designed to help people who feel overwhelmed by constant AI news
β’ Based on their annual breakthrough technologies research
Summary:
β’ Technology publication created a curated list of important AI developments
β’ Reporters and editors used years of experience to identify what's truly significant
β’ Aims to help people focus on meaningful AI progress amid all the hype
Summary:
β’ Writer discusses current feelings of tiredness and disappointment with AI
β’ Suggests many people are experiencing similar frustration with AI developments
β’ Article explores this widespread mood about artificial intelligence
Summary:
β’ AI Now Institute hosting training on data center policy tomorrow
β’ Focus is on how to stop or slow the rapid expansion of data centers
β’ Aims to give communities tools to fight back against AI industry buildout
Summary:
β’ AI Now Institute published research on gig economy nursing platforms
β’ Study looks at how these companies lobby states to reduce healthcare regulations
β’ Part of ongoing series examining 'Uber for nursing' business models
Summary:
β’ Tech companies keep telling people their products will completely change or threaten their lives
β’ When companies repeatedly make these dramatic claims, people start believing them
β’ This creates fear and hype around technology that may not be justified
Summary:
β’ Perplexity's CEO is another tech leader telling people AI will replace their jobs
β’ The real impact of AI isn't to remove humans completely from work
β’ Instead, AI is being used to reduce workers' power and cut their pay
Summary:
β’ A popular GitHub project claims it can copy coworkers and turn them into reusable AI tools
β’ This is making Chinese tech workers worried about their job security
β’ The project highlights deeper fears about AI replacing human workers
Summary:
β’ Quantum computers are arriving faster than expected
β’ Could break current encryption methods used by messaging apps
β’ Time to check if your secure messaging apps have upgraded their protection
Summary:
β’ Human service is becoming expensive luxury as AI takes over
β’ Poor people face the most serious consequences from AI decisions
β’ Creates inequality where wealthy get human attention, poor get automated systems
Summary:
β’ Amazon trying to use computer crime laws to block price comparison tools
β’ AI tools that check public prices on Amazon's website are being targeted
β’ Could hurt competition, research, and consumers' ability to find deals
The Distributed AI Research (DAIR) Institute @dairinstitute.bsky.social Apr 20, 2026
AI 40% relevant bluesky
Summary:
β’ Live stream event called Mystery AI Hype Theater 3000 happening today
β’ Special episode called 'All Hell' starting at noon Pacific Time
β’ Available on Twitch platform for viewing
Summary:
β’ Book called 'Empire of AI' won LA Times science and technology prize
β’ Recognition for work examining artificial intelligence industry
β’ Weekend announcement of the award
Summary:
β’ Man died after following AI medical advice instead of getting proper treatment
β’ Shows how technology is changing relationships between patients and doctors
β’ Highlights risks of people trusting AI over medical professionals for health decisions
The Distributed AI Research (DAIR) Institute @dairinstitute.bsky.social Apr 18, 2026
AI 75% relevant bluesky
Summary:
β’ Two AI researchers are hosting a live show called 'Mystery AI Hype Theater 3000'
β’ They'll be discussing and critiquing recent AI news and developments
β’ The show streams live on Twitch for people to watch and learn about AI trends
Summary:
β’ Google moved up its prediction for when quantum computers could break current encryption to 2029
β’ Hackers could collect encrypted data now and decrypt it later when quantum computers are ready
β’ Organizations need to switch to quantum-resistant security methods faster than planned
Summary:
β’ Technology that identifies harmful intimate images has significant limitations
β’ It only catches known content and struggles with edited or AI-generated versions
β’ Good policies and human oversight are needed alongside the technology
Summary:
β’ Sam Altman announced new partnerships for World ID verification with major companies
β’ MIT Technology Review predicted these developments 4 years ago
β’ The prediction included warnings about privacy violations in the system
Summary:
β’ Tech policy experts discussed who should control AI's role in making the internet healthier
β’ The conversation covered how AI decisions shape our online experiences
β’ Highlights the debate over who gets to make choices about AI in digital spaces
Summary:
β’ Investment in humanoid robots jumped to $6.1 billion in 2025, four times higher than 2024
β’ The increase comes from major improvements in how robots interact with the world
β’ Shows rapid growth and investor confidence in robot technology
Summary:
β’ AI has made creating fake content much easier and faster for more people
β’ The technology barrier is lower, so anyone can make convincing fake content with little effort
β’ This creates a flood of harmful content that's harder to manage
Summary:
β’ Training series starts April 22nd about AI industry and data centers
β’ Will cover policy solutions and organizing strategies to challenge corporate power
β’ Focuses on how communities can fight back against big tech companies
Summary:
β’ 15% of students saw fake explicit images of people from their school made with AI
β’ These deepfakes are becoming a widespread problem in schools across the country
β’ Shows how AI technology is being misused to harm and embarrass students
Summary:
β’ 15% of students know about fake explicit images made with AI at their schools
β’ The real number of these deepfake incidents is likely much higher than reported
β’ Shows AI abuse in schools is a growing problem that's often hidden
Summary:
β’ Pentagon's AI guidelines assume humans understand how AI systems make decisions, but they don't
β’ The real danger isn't AI acting alone, but humans not knowing what AI is actually "thinking"
β’ This creates serious risks when AI is used in military and defense situations
Summary:
β’ About 1 in 5 high school students know someone who has dated an AI chatbot
β’ This shows AI companions are becoming a real part of teenage relationships
β’ Survey data from 2025 reveals how common these digital relationships have become
Summary:
β’ Criminals are buying special tools on Telegram that fool banks' face recognition systems
β’ Crypto scams alone are expected to steal $17 billion in 2025
β’ Banks and government agencies can't keep up with these new scam methods
Summary:
β’ Smart glasses with face recognition could let anyone secretly identify people in public
β’ This technology would enable stalkers, scammers, and others to track people without their knowledge
β’ People should be able to go about their daily lives without fear of being secretly identified
Summary:
β’ Researcher presenting study on how people use AI chatbots for mental health support
β’ Sharing findings at academic conference about emotional uses of AI technology
β’ Long-term research shows how people rely on AI for mental and emotional care
Summary:
β’ Companies using AI to cut labor costs are creating lots of low-quality work instead
β’ AI tools are marketed as doing everything but often fail in real-world use
β’ Shows gap between AI promises and actual performance in workplace settings
Summary:
β’ Colorado's AI law regulates how AI makes important decisions about people
β’ Covers AI use in healthcare and employment decisions
β’ Expert explains the law actually controls AI in areas that matter most to people
Summary:
β’ Modern AI horror stories focus on machines that want things, not smart machines
β’ People aren't scared of AI that knows a lot of information
β’ The real fear is AI that has its own desires and goals
Summary:
β’ Technology Review has created a new list of important AI developments
β’ They're sharing trends and advances in artificial intelligence
β’ Could help people understand what's happening in AI right now
Summary:
β’ HIPAA privacy laws don't protect people from AI companies accessing their health data
β’ AI companies can take and use health information without worrying about these laws
β’ Current privacy protections have major gaps when it comes to AI
Summary:
β’ Expert calls for independent testing of AI tools to assess their risks
β’ Says democratic institutions, not private companies, should decide how AI is released
β’ Argues that companies have their own interests that may conflict with public safety
Summary:
β’ AI systems are being used to control and disempower workers
β’ Researcher says this repeats patterns we've seen with other technologies
β’ Shows how AI can make workplace conditions worse for employees
Summary:
β’ Stanford's AI Index provides an annual summary of key AI developments and trends
β’ Offers a chance to step back and assess progress in the fast-moving AI industry
β’ Reminds people that AI development is a long-term effort, not a quick race
The Distributed AI Research (DAIR) Institute @dairinstitute.bsky.social Apr 13, 2026
AI 60% relevant bluesky
Summary:
β’ AI researchers are hosting a livestream discussion about AI hype
β’ Features experts talking with author Carmen Maria Machado
β’ Event is called Mystery AI Hype Theater 3000 and streams on Twitch
Summary:
β’ Government asked tech companies for help with cyberattacks and got 'free' upgrades
β’ Trump administration is doing something similar with AI companies
β’ Investigation reveals these deals aren't actually free and come with hidden costs
Summary:
β’ When companies can't oppose all regulations, they create their own weak alternatives
β’ These company-made rules sound good but have no real enforcement power
β’ Allows companies to control how they're regulated instead of government oversight
Summary:
β’ OpenAI released new policy documents that sound like they want more oversight
β’ Behind the scenes, the company has been pushing against AI regulations
β’ Shows disconnect between public statements and actual lobbying efforts
Summary:
β’ Expert warns about increased risk of AI projects failing in government
β’ Could waste taxpayer money on broken or ineffective AI systems
β’ May expose the public to various harms from poorly implemented AI
Summary:
β’ Government agencies are using risky AI tools without proper oversight
β’ No real systems in place to check if these tools actually work well
β’ Agencies can't verify if their AI systems are performing as expected
Summary:
β’ Google's AI search answers are correct about 90% of the time
β’ With billions of searches daily, this means millions of wrong answers every hour
β’ Shows how even high accuracy rates can create massive problems at scale
Summary:
β’ AI news is confusing with conflicting reports about success and failure
β’ New annual AI report aims to cut through the hype and confusion
β’ Provides clearer picture of where AI actually stands in 2026
The Distributed AI Research (DAIR) Institute @dairinstitute.bsky.social Apr 11, 2026
AI 75% relevant bluesky
Summary:
β’ Upcoming live discussion about AI language models being used in writing and education
β’ Features author Carmen Maria Machado discussing impact on publishing industry
β’ Part of series examining AI hype versus reality in creative fields
Summary:
β’ Brief post directing people to AI Now Institute's published research
β’ No specific details about what research or findings are being referenced
Summary:
β’ AI researcher discusses Anthropic's new security tool called Mythos on TV news
β’ Warns we lack independent evidence to verify the company's security claims
β’ Highlights risks of large language models and need for outside verification
Summary:
β’ AI company Anthropic is building potentially dangerous AI models to protect against them
β’ This approach assumes the only defense is to create the threat first
β’ Happening with very little government regulation or oversight
Summary:
β’ About 12% of people worry excessively about their health
β’ Using AI chatbots to get health advice can make this anxiety worse
β’ Shows potential risks of relying on AI for medical guidance
Summary:
β’ 70-year-old disabled man was denied parole hearing because computer algorithm labeled him risky
β’ Calvin Alexander is nearly blind and uses wheelchair, making him unlikely to commit crimes
β’ Shows how automated systems can make unfair decisions about people's freedom
Summary:
β’ Civil rights group wants government standards to include anti-discrimination protections
β’ Pushing for testing to catch bias in areas like housing, jobs, and lending
β’ Aims to prevent automated systems from unfairly treating different groups of people
Summary:
β’ Civil rights groups responded to government draft rules about testing AI language models
β’ Organizations are trying to influence how the government evaluates AI systems
β’ Shows ongoing effort to shape AI regulation before it becomes final
Summary:
β’ New survey shows Americans dislike AI, including younger generations
β’ Young people are struggling to find stable jobs in current workplace
β’ Negative feelings about AI extend beyond older generations as expected
Summary:
β’ Pentagon is rushing to adopt AI technology without proper safety rules in place
β’ This creates serious risks that could even be deadly in military applications
β’ Congress needs to create guidelines and oversight before AI is widely used in defense
Summary:
β’ Expert says transparency should be the foundation of any national AI rules
β’ Transparency shouldn't be seen as an extra burden on AI companies
β’ Clear information about AI systems is necessary for the technology to succeed
Summary:
β’ Major AI companies have started creating their own safety rules and sharing some information
β’ New bill would create official federal standards for AI safety
β’ Would provide clearer guidance and make safety processes consistent across companies
Summary:
β’ Only 22% of high school students got guidance on their school's AI policy
β’ But 86% of students used AI tools during the school year
β’ Shows big gap between AI use and proper guidance in schools
Summary:
β’ Pentagon rushing to use AI in military without proper safety rules
β’ Could lead to serious or deadly consequences
β’ Report calls for Congress to create safety guidelines
Summary:
β’ OpenAI and other companies are testing ads in their AI chat systems
β’ AI could become better at persuading people to buy things, raising concerns about manipulation
β’ The way these companies make money could affect how trustworthy their AI responses are
Summary:
β’ Ads are coming to AI chat systems, following the same pattern as social media platforms
β’ This isn't surprising but serves as a warning about where AI is heading
β’ Companies face strong financial pressure to add ads, making it hard to resist
Summary:
β’ Microsoft's AI CEO wrote about the complicated reality of building AI systems
β’ The field is moving very fast with many complex challenges
β’ Gives insight into what's really happening behind the scenes in AI development
Summary:
β’ Virtual event on April 17th will introduce research program focused on refugees, migrants and AI
β’ Program centers on actual experiences of refugees and migrants rather than outside perspectives
β’ Aims to give refugees and migrants more control over how AI affects their lives
Summary:
β’ Pentagon is rushing to use AI without proper safety rules
β’ Could lead to serious mistakes or even deaths
β’ Congress needs to create guidelines for military AI use
Summary:
β’ AI researchers are hosting their first live comedy show about AI hype and misleading claims
β’ The event is in Brooklyn on April 30 with limited tickets available
β’ All money raised will go to support an AI research institute
Summary:
β’ AI makes it much easier for companies to alter and reuse fashion model images
β’ Research shows how this affects the modeling industry
β’ Raises questions about consent and fair compensation for models
Summary:
β’ Pamela Anderson says we need to keep questioning AI's influence
β’ Warns against being controlled or fooled by AI technology
β’ Research shows AI is already changing how modeling work happens
Summary:
β’ Military AI system called Maven has only 30% accuracy in targeting
β’ This low accuracy rate is close to random targeting
β’ Expert discusses what safety measures could be put in place
Summary:
β’ Someone explaining that underwater data centers in the 2010s weren't built for cooling computers
β’ Says they were built because it was a fun idea, like underwater restaurants
β’ Appears to be correcting a common misconception about why these were created
Summary:
β’ A coalition is helping government, nonprofits, and companies share knowledge about AI
β’ The goal is to help government use AI responsibly when providing public services
β’ Focuses on making sure AI adoption in government is trustworthy and safe
Summary:
β’ New proposed rules about how government buys and uses AI are concerning
β’ The rules could let government officials skip important safety protections
β’ Could lead to expanded mass surveillance of citizens
Summary:
β’ AI tools are making it easier for businesses to find suppliers and source products
β’ The time from having a product idea to actually launching it is getting much shorter
β’ Business owners and experts confirm this trend is happening across e-commerce
Summary:
β’ AI company Anthropic created a 'constitution' of rules for their AI system Claude
β’ Writer argues this reflects bigger problems with how America's actual constitution is working
β’ Shows how tech companies are making their own governance rules for AI systems
Summary:
β’ Trump and his team are promising AI will transform America
β’ ProPublica says this messaging follows the same pattern as past tech promises
β’ Suggests government has made similar big claims about technology before
Summary:
β’ Recommends reading 'Empire of AI' book and watching related talk
β’ Suggests following specific experts for critical analysis of AI industry
β’ Promotes more thoughtful, questioning approach to AI hype and claims
Summary:
β’ People need better reasons not to publish bad or fake research
β’ AI can help researchers make sure their work is high quality
β’ Humans control AI and can train it to do what we need
Summary:
β’ Researchers need consequences for publishing fake or bad studies
β’ AI can help people cheat but also help them do better science
β’ Success depends on what behaviors we reward and how we review research
Summary:
β’ When problems become technical challenges, they get solved over time
β’ AI can check research quality in ways human reviewers can't or won't
β’ AI extends what human reviewers can do, but incentives still matter most
Summary:
β’ AI is more likely to help people use statistics correctly than to help them cheat
β’ Most people don't understand statistics well, so AI guidance would be an improvement
β’ Suggests AI could actually make research more accurate
Summary:
β’ New rules about government buying AI technology could be problematic
β’ These rules might let officials skip important safety protections
β’ Could lead to expanded government surveillance of citizens