And Spy on Emails.
Hundreds of thousands of users have downloaded malicious AI extensions masquerading as ChatGPT, Gemini, Grok and others, warn cybersecurity researchers at LayerX.
Category: robotics/AI
How SpaceX and XAI Will Build Moonbase Alpha and Mass Drivers
SpaceX, in collaboration with xAI, plans to build a lunar base called Moonbase Alpha using advanced technologies such as mass drivers, solar power, and Starship, aiming to make human activity on the moon visible, affordable, and sustainable ##
## Questions to inspire discussion.
Launch Infrastructure Economics.
🚀 Q: What launch costs could SpaceX’s moon infrastructure achieve? A: Mature SpaceX moon operations could reduce costs to $10/kg to orbit and $50/kg to moon surface, enabling $5,000 moon trips for people under 100kg (comparable to expensive cruise pricing), as mentioned by Elon Musk.
⚡ Q: How could lunar mass drivers scale satellite deployment? A: Lunar mass drivers using magnetic rails at 5,600 mph could launch 10 billion tons of satellites annually with 2 terawatts of power, based on 2023 San Jose State study updating 1960s-70s mass driver literature.
Starship Capabilities.
Optimus Surgeons in 3 Years | MOONSHOTS
Optimus robots, with their rapidly advancing capabilities in AI and dexterity, are poised to revolutionize the field of surgery, potentially surpassing human surgeons in precision and accessibility within a few years and making traditional surgical expertise and even medical school obsolete.
## Questions to inspire discussion.
Healthcare Access & Economics.
🏥 Q: How will Optimus robots change healthcare costs and accessibility?
A: Optimus surgeon robots will operate at costs limited to capital expenditure and electricity, enabling deployment in rural villages and developing countries like Zimbabwe and throughout Africa, demonetizing and decentralizing access to medical care that will exceed what presidents currently receive.
Technology Timeline & Capabilities.
Claude Opus 4.6 vs GPT 5.3 Codex: Which is better for programming? | Peter Steinberger
Claude Opus 4.6 and GPT 5.3 Codex, two AI models, have different strengths and interaction styles, highlighting the trade-offs between elegance, reliability, and efficiency in their performance ##
## Questions to inspire discussion.
Model Selection Strategy.
🎯 Q: Which AI model should I choose for different programming tasks?
A: Use Opus for interactive roleplay and quick command following with trial-and-error workflows, while Codex excels at delivering elegant solutions when given proper context and reads more code by default.
🔄 Q: How long does it take to effectively switch between AI models?
AI captures particle accelerator behavior to optimize machine performance
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility features hundreds of fine-tuned components that accelerate electrons to 99.999% the speed of light.
The electrons get this boost from radiofrequency waves within a series of resonant structures known as cavities, which become superconducting at temperatures colder than deep space.
These cavities form the backbone of Jefferson Lab’s Continuous Electron Beam Accelerator Facility (CEBAF), a unique DOE Office of Science user facility supporting the research of more than 1,650 nuclear physicists from around the globe. CEBAF also holds the distinction of being the world’s first large-scale installation and application of this superconducting radiofrequency (SRF) technology.
Graham Priest: Dialetheism & the Limits of Classical Logic
For 2,500 years, Western thought has treated contradiction as catastrophic.
From Aristotle’s law of non-contradiction to modern formal systems, logic has operated under one sacred assumption: a statement cannot be both true and false.
But what if that assumption is wrong?
In my latest Singularity. FM conversation, I sit down with Graham Priest — one of the world’s leading philosophers of logic and the foremost defender of *dialetheism* — the view that some contradictions are true.
We explore:
• Why the liar paradox still unsettles logicians • How paraconsistent logic blocks “explosion” • Whether classical logic is incomplete rather than universal • What Buddhist philosophy understood about contradiction centuries ago • And whether AI systems may require non-classical logics to model human reasoning.
12 Emerging Innovative Technology Areas for Government Prioritization
By Chuck Brooks
#technology #government #security
By Chuck Brooks, president of Brooks Consulting International
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.
The Frontier Labs War: Opus 4.6, GPT 5.3 Codex, and the SuperBowl Ads Debacle
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?
The insect-inspired bionic eye that sees, smells and guides robots
The compound eyes of the humble fruit fly are a marvel of nature. They are wide-angle and can process visual information several times faster than the human eye. Inspired by this biological masterpiece, researchers at the Chinese Academy of Sciences have developed an insect-scale compound eye that can both see and smell, potentially improving how drones and robots navigate complex environments and avoid obstacles.
Traditional cameras on robots and drones may excel at capturing high-definition photos, but struggle with a narrow field of view and limited peripheral vision. They also tend to be bulky and power-hungry.