"AI Populism" is a term that obscures more than it reveals.

As seen online:

“The Yudkowsky crowd literally staged a protest this February in favor of billionaires. The Sierra Club types are deeply distrustful of corporate power, and deeply committed to participatory democracy. Bundling them together under the heading of “AI populism” makes it even harder to reach analytic clarity. The sole thread that ties them together is that they both are a problem for the AI industry.”

— from "AI Populism" is a term that obscures more than it reveals. as of 25 July 2026

US Law Enforcement Warns of ‘Anti-Tech Extremism’ as AI Hatred Grows | WIRED

As seen online:

“As Americans stew over the looming risk of job-stealing AI and data centers in their backyards, the feds are raising the alarm about a new category of threat, documents obtained by WIRED show.”

— from US Law Enforcement Warns of ‘Anti-Tech Extremism’ as AI Hatred Grows | WIRED as of 25 July 2026

Ammar Younas & Yi Zeng, Towards Culture Driven Artificial Intelligence to Bridge the Cultural Cognition Gap - PhilArchive

Ammar Younas & Yi Zeng, Towards Culture Driven Artificial Intelligence to Bridge the Cultural Cognition Gap - PhilArchive:

As seen online:

“Intelligence, whether artificial or human, cannot be fully understood without recognizing its cultural foundations and adaptive contexts. This Perspective introduces two key contributions. First, it defines the Cultural Cognition Gap, the disconnect between AI’s static, pattern-based reasoning and the dynamic, culturally adaptive nature of human cognition, evident in real-world deployment failures. Second, it proposes Culture Driven AI, a conceptual and normative framework advocating for AI systems designed to engage with cultural plurality and fluidity as central features of intelligent behavior”

— from Ammar Younas & Yi Zeng, Towards Culture Driven Artificial Intelligence to Bridge the Cultural Cognition Gap - PhilArchive as of 19 March 2026

OpenAI Is A Systemic Risk To The Tech Industry

As seen online:

“Everything that I'm describing is the result of a tech industry — including media and analysts — that refuses to do business with reality, trafficking in ideas and ideology, celebrating victories that have yet to take place, applauding those who have yet to create the things they're talking about, cheering on men lying about what's possible so that they can continue to burn billions of dollars and increase their wealth and influence. I understand why others might not have written this piece. What I am describing is a systemic failure, one at a scale hereto unseen, one that has involved so many rich and powerful and influential people agreeing to ignore reality, and that’ll have crushing impacts for the wider tech ecosystem when it happens.”

— from OpenAI Is A Systemic Risk To The Tech Industry as of 19 October 2025

View of The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence | First Monday

As seen online:

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— from View of The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence | First Monday as of 15 October 2025

The ‘godfather of AI’ reveals the only way humanity can survive superintelligent AI

As seen online:

“Hinton said he used to think it could take 30 years to 50 years to achieve AGI but now sees this moment coming sooner. “A reasonable bet is sometime between five and 20 years,” he said. While Hinton remains concerned about what could go wrong with AI, he is hopeful the technology will pave the way to medical breakthroughs. 

“We’re going to see radical new drugs. We are going to get much better cancer treatment than the present,” he said. 

For instance, he said AI will help doctors comb through and correlate the vast amounts of data produced by MRI and CT scans.”

— from The ‘godfather of AI’ reveals the only way humanity can survive superintelligent AI | CNN Business as of 14 August 2025

AI model collapse is not what we paid for • The Register

As seen online:

“Welcome to Garbage In/Garbage Out (GIGO). Formally, in AI circles, this is known as AI model collapse. In an AI model collapse, AI systems, which are trained on their own outputs, gradually lose accuracy, diversity, and reliability. This occurs because errors compound across successive model generations, leading to distorted data distributions and "irreversible defects" in performance. The final result? A Nature 2024 paper stated, "The model becomes poisoned with its own projection of reality."”

— from AI model collapse is not what we paid for • The Register as of 23 July 2025

Verizon's 2025 DBIR: Threats Are Faster, Smarter, and More Personal

Verizon's 2025 DBIR: Threats Are Faster, Smarter, and More Personal: 

Excerpt: ″Phishing accounted for nearly 25% of all breaches. More concerning: Verizon found that 50% of users who open phishing emails do so within the first hour. "The median time to click was just 21 minutes. That's how fast your detection and response needs to be."″

Source: secureworld.io

AI-Powered Voice Spoofing for Next-Gen Vishing Attacks | Google Cloud Blog

AI-Powered Voice Spoofing for Next-Gen Vishing Attacks | Google Cloud Blog: 

Excerpt: ″AI-powered voice cloning can now mimic human speech with uncanny precision, creating for more realistic phishing schemes.  According to news reports, scammers have leveraged voice cloning and deepfakes to steal over HK$200 million from an organization. ″

Source: cloud.google.com

Artificial Intelligence and Criminal Law | The Colleges of Law

Artificial Intelligence and Criminal Law | The Colleges of Law: Excerpt: ″In this edition of Legal Currents and Futures, The Colleges of Law continues sharing a series of thought pieces about artificial intelligence and the law.″

Source: collegesoflaw.edu

Jailbreaking LLM-Controlled Robots: RoboPair Promo Video | Penn Engineering - YouTube

Jailbreaking LLM-Controlled Robots: RoboPair Promo Video | Penn Engineering - YouTube: 

Excerpt: ″Researchers at Penn Engineering have discovered that certain features of AI-governed robots carry security vulnerabilities and weaknesses that were previously unidentified and unknown. Funded by the National Science Foundation and the Army Research Laboratory, the research aims to address the emerging vulnerability for ensuring the safe deployment of large language models (LLMs) in robotics. … ...more ″

Source: youtube.com

AI and Cybersecurity: Seizing the Opportunities, Defending Against the Threats, Understanding the Legal Risks

AI and Cybersecurity: Seizing the Opportunities, Defending Against the Threats, Understanding the Legal Risks: 

Excerpt: ″AI is transforming cybersecurity, creating both groundbreaking opportunities and complex challenges. In this course, AI and Cybersecurity: Seizing the Opportunities, Defending Against the Threats, Navigating Legal Risks, you'll explore how AI is reshaping the way we defend against cyberattacks, identify emerging risks, and stay compliant with evolving legal standards, which are playing catch-up with the speed of technological development.″

Source: tickettailor.com