Surveillance in the digital age is no longer limited to cameras and smartphones. From facial recognition to GPS logs, the tools used to monitor people have grown increasingly sophisticated.
Now, researchers in Italy have shown that even ordinary Wi-Fi signals can be used to track people, without needing them to carry any device at all.
A team from La Sapienza University of Rome has developed a system called ‘WhoFi,’ which can generate a unique biometric identifier based on how a person’s body interacts with surrounding Wi-Fi signals.
Italian researchers turn Wi-Fi signals into biometric tools, enabling passive tracking of individuals without phones using AI.
So I took @meta CEO Mark Zuckerberg blog post on’superintelligence’ aka #artificialgeneralintelligence from https://www.meta.com/superintelligence/ and generated an audio track using @Descript (no edits were made) and then created a ‘data’-like avatar (which is often compared to what Zuck used to look like::). Then I asked Descript to add some stock footage and generate captions… (again, no edits) and here we are.
You can judge it for yourself, but here’s what I think:
1) Zuck’s memo is… crap (sorry)
2) The voiceover is decent but yes… crappily generic… and of course, it didn’t allow me to use Z’s voice or image.
3) The stock footage used (I did not make ANY edits) is… crap (to call it generic would be generous)
4) The cuts, layovers and transitions are…crap.
The result is crap. I hope you don’t like it.
Note: This is NOT by any means a comment on the power of @Descript’s AI editing platform which I really like and constantly use, and definitely recommend. But it’s not a miracle machine:)
To see what Descript can do if you put real effort into it, go here: https://youtu.be/AEKtY7F5Z0Q?si=pIYoqoms7PfMukoo.
Rather, it shows that mindlessness, lazyness, and effortlessness creates SLOP. As creators, we must resist using these tools without serious editing, questioning and curating. #thehumanresistance.
The summary below was also written by AI:
🎥Podcast Teaser: AI in the Wild Wild West: S4:E44🎙️ LIVE with Chuck Brooks Chuck Brooks.
From Presidential appointee to global cyber thought leader, Chuck Brooks shares insights on AI, quantum, and servant leadership. A blueprint for resilient leaders.
🎥 Watch the full episode of the Leadership & Success Podcast with Coach BZ and read the podcast highlights:
https://www.linkedin.com/posts/bobfabienzinga_cybersecurity-…ce=share&u
Chuck Brooks Cybersecurity is national security. In my latest Leadership & Success Podcast with Coach BZ Podcast (S4:E44), I sat down with Chuck Brooks — Thinkers360 Cybersecurity Ambassador, Georgetown University faculty, and one of LinkedIn’s Top 5 Tech People to Follow. We explored his remarkable journey from Presidential appointee to global cyber thought leader, highlighting the leadership principles that fueled his success.
Chuck shared powerful insights on the rise of ransomware, the looming threat of quantum computing, and how AI and agentic systems are transforming the cyber battlefield. He emphasized humility, continuous learning, and servant leadership — values equally vital in military command posts and Silicon Valley boardrooms. His call to action for leaders?
MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform the design of faster, more accurate machine-learning models for tasks like discovering new drugs or identifying astronomical phenomena.
CHAMPAIGN-URBANA, Ill. (WCIA) — The U.S. National Science Foundation has awarded a University of Illinois lab $15 million. The money will support the development of AI tools, to help scientists quickly and efficiently synthesize molecules for medicine, energy, industry and more.
The money will be going to the Molecule Maker Lab Institute (MMLI) — which is based on the U of I’s campus, in partnership between Pennsylvania State University and the Georgia Institute of Technology. U of I chemical and biomolecular engineering professor Huimin Zhao directs the lab.
Zhao said functional molecules like drugs chemicals are important in today’s society, but the process of discovering new molecules is slow and expensive. He believes AI can change that.
On November 1st, 2024, Project Hyperion — an international, interdisciplinary team of architects, engineers, anthropologists, and urban planners — launched a design competition for crewed interstellar travel. The event was hosted by the Initiative for Interstellar Studies (i4is), a UK-based non-profit organization dedicated to the robotic and human exploration of exoplanets around nearby stars, and eventually settlement. With a prize purse of $10,000, competitors were tasked with producing concepts for a Generation Ship (aka. Worldships) using current technologies and those that could be realized in the near future.
On July 23rd, 2025, the organization announced the top three competition winners, which were selected from hundreds of ideas submitted by teams worldwide. The winning entries were selected based on how they met all the competition criteria, provided a depth of detail, and integrated the design aspects of architecture, engineering, and social sciences. In short, the top three prizes were awarded to proposals that would allow a society to sustain itself and flourish in a highly resource-constrained environment as they made a centuries-long journey to another habitable planet.
The challenges and hazards of space exploration are well-known and well-documented, ranging from long-duration transits, exposure to radiation, the amount of supplies needed, and the dangers of being cooped up inside a pressurized ship in close quarters with other crew members. As the saying goes, “space is hard,” but interstellar travel is especially difficult and dangerous. Not only are resupply missions not an option for missions venturing so far beyond Earth, but the time and energy it would take for spacecraft to travel to even the nearest star is prohibitive.
Researchers from New Jersey Institute of Technology (NJIT) have used artificial intelligence to tackle a critical problem facing the future of energy storage: finding affordable, sustainable alternatives to lithium-ion batteries.
In research published in Cell Reports Physical Science, the NJIT team led by Professor Dibakar Datta successfully applied generative AI techniques to rapidly discover new porous materials capable of revolutionizing multivalent-ion batteries. These batteries, using abundant elements like magnesium, calcium, aluminum and zinc, offer a promising, cost-effective alternative to lithium-ion batteries, which face global supply challenges and sustainability issues.
Unlike traditional lithium-ion batteries, which rely on lithium ions that carry just a single positive charge, multivalent-ion batteries use elements whose ions carry two or even three positive charges. This means multivalent-ion batteries can potentially store significantly more energy, making them highly attractive for future energy storage solutions.