“Working in strict secrecy, a government scientist in Norway built a machine capable of emitting powerful pulses of microwave energy and, in an effort to prove such devices are harmless to humans, in 2024 tested it on himself. He suffered neurological symptoms similar to those of ”Havana syndrome,” the unexplained malady that has struck hundreds of U.S. spies and diplomats around the world.
The bizarre story, described by four people familiar with the events, is the latest wrinkle in the decade-long quest to find the causes of Havana syndrome, whose sufferers experience long-lasting effects including cognitive challenges, dizziness and nausea. The U.S. government calls the events Anomalous Health Incidents (AHIs).
The secret test in Norway has not been previously reported. The Norwegian government told the CIA about the results, two of the people said, prompting at least two visits in 2024 to Norway by Pentagon and White House officials.
The CIA investigated a Norwegian government experiment with a pulsed-energy machine in which a researcher built and tested a ”Havana syndrome” device on himself.
The rapid advancement of technologies, particularly AI, is driving the world towards an economic singularity where the marginal cost of essentials approaches zero, leading to a deflationary future and a potential transformation of traditional systems and societies ##
## Questions to inspire discussion.
Education Transformation.
🎓 Q: How will AI reduce education time while improving effectiveness?
A: AI will customize education to each child’s learning style, reducing daily learning time to 1 hour per day while delivering 5 times more effective learning compared to traditional methods, with costs falling to zero within 3–5 years and breaking the university industry that currently creates massive student debt.
Artificial intelligence is rapidly advancing to the point where it may be able to write its own code, potentially leading to significant job displacement, societal problems, and concerns about unregulated use in areas like warfare.
## Questions to inspire discussion.
Career Adaptation.
🎯 Q: How should workers prepare for AI’s impact on employment? A: 20% of jobs including coders, medical, consulting, finance, and accounting roles will be affected in the next 5 years, requiring workers to actively learn and use large language models to enhance productivity or risk being left behind in the competitive landscape.
Economic Policy.
📊 Q: What systemic response is needed for AI-driven job displacement? A: Government planning is essential to manage massive economic transitions and job losses as AI’s exponential growth reaches a tipping point, extending beyond manufacturing into white-collar professions across multiple sectors.
CISA ordered U.S. government agencies on Thursday to secure their systems against a critical Microsoft Configuration Manager vulnerability patched in October 2024 and now exploited in attacks.
Microsoft Configuration Manager (also known as ConfigMgr and formerly System Center Configuration Manager, or SCCM) is an IT administration tool for managing large groups of Windows servers and workstations.
Tracked as CVE-2024–43468 and reported by offensive security company Synacktiv, this SQL injection vulnerability allows remote attackers with no privileges to gain code execution and run arbitrary commands with the highest level of privileges on the server and/or the underlying Microsoft Configuration Manager site database.
The future of innovation in both government and industry will not be distinguished by singular breakthroughs, but rather by the convergence and meshing of a number of different new technologies. Going forward, industries, national security, economic competitiveness, privacy and almost every aspect of everyday life will all be reshaped as a result of this integrated ecosystem, which encompasses artificial intelligence, quantum computing, improved connectivity, space systems and other areas.
Twelve crucial technical domains will help propel the federal government toward this convergent transformation.
Questions to inspire discussion AI Model Performance & Capabilities.
🤖 Q: How does Anthropic’s Opus 4.6 compare to GPT-5.2 in performance?
A: Opus 4.6 outperforms GPT-5.2 by 144 ELO points while handling 1M tokens, and is now in production with recursive self-improvement capabilities that allow it to rewrite its entire tech stack.
🔧 Q: What real-world task demonstrates Opus 4.6’s agent swarm capabilities?
A: An agent swarm created a C compiler in Rust for multiple architectures in weeks for **$20K, a task that would take humans decades, demonstrating AI’s ability to collapse timelines and costs.
🐛 Q: How effective is Opus 4.6 at finding security vulnerabilities?
Indian defense sector and government-aligned organizations have been targeted by multiple campaigns that are designed to compromise Windows and Linux environments with remote access trojans capable of stealing sensitive data and ensuring continued access to infected machines.
The campaigns are characterized by the use of malware families like Geta RAT, Ares RAT, and DeskRAT, which are often attributed to Pakistan-aligned threat clusters tracked as SideCopy and APT36 (aka Transparent Tribe). SideCopy, active since at least 2019, is assessed to operate as a subdivision of Transparent Tribe.
“Taken together, these campaigns reinforce a familiar but evolving narrative,” Aditya K. Sood, vice president of Security Engineering and AI Strategy at Aryaka, said. “Transparent Tribe and SideCopy are not reinventing espionage – they are refining it.”
Are we chasing the wrong goal with Artificial General Intelligence, and missing the breakthroughs that matter now?
On this episode of Digital Disruption, we’re joined by former research director at Google and AI legend, Peter Norvig.
Peter is an American computer scientist and a Distinguished Education Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). He is also a researcher at Google, where he previously served as Director of Research and led the company’s core search algorithms group. Before joining Google, Norvig headed NASA Ames Research Center’s Computational Sciences Division, where he served as NASA’s senior computer scientist and received the NASA Exceptional Achievement Award in 2001.He is best known as the co-author, alongside Stuart J. Russell, of Artificial Intelligence: A Modern Approach — the world’s most widely used textbook in the field of artificial intelligence.
Peter sits down with Geoff to separate facts from fiction about where AI is really headed. He explains why the hype around Artificial General Intelligence (AGI) misses the point, how today’s models are already “general,” and what truly matters most: making AI safer, more reliable, and human-centered. He discusses the rapid evolution of generative models, the risks of misinformation, AI safety, open-source regulation, and the balance between democratizing AI and containing powerful systems. This conversation explores the impact of AI on jobs, education, cybersecurity, and global inequality, and how organizations can adapt, not by chasing hype, but by aligning AI to business and societal goals. If you want to understand where AI actually stands, beyond the headlines, this is the conversation you need to hear.
In this episode: 00:00 Intro. 01:00 How AI evolved since Artificial Intelligence: A Modern Approach. 03:00 Is AGI already here? Norvig’s take on general intelligence. 06:00 The surprising progress in large language models. 08:00 Evolution vs. revolution. 10:00 Making AI safer and more reliable. 12:00 Lessons from social media and unintended consequences. 15:00 The real AI risks: misinformation and misuse. 18:00 Inside Stanford’s Human-Centered AI Institute. 20:00 Regulation, policy, and the role of government. 22:00 Why AI may need an Underwriters Laboratory moment. 24:00 Will there be one “winner” in the AI race? 26:00 The open-source dilemma: freedom vs. safety. 28:00 Can AI improve cybersecurity more than it harms it? 30:00 “Teach Yourself Programming in 10 Years” in the AI age. 33:00 The speed paradox: learning vs. automation. 36:00 How AI might (finally) change productivity. 38:00 Global economics, China, and leapfrog technologies. 42:00 The job market: faster disruption and inequality. 45:00 The social safety net and future of full-time work. 48:00 Winners, losers, and redistributing value in the AI era. 50:00 How CEOs should really approach AI strategy. 52:00 Why hiring a “PhD in AI” isn’t the answer. 54:00 The democratization of AI for small businesses. 56:00 The future of IT and enterprise functions. 57:00 Advice for staying relevant as a technologist. 59:00 A realistic optimism for AI’s future.
