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Category: robotics/AI – Page 105

Personal Superintelligence: A lousy video illustrating Zuckerberg’s lousy AI memo

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:

Continue reading “Personal Superintelligence: A lousy video illustrating Zuckerberg’s lousy AI memo” | >

My advice to security leaders is that cybersecurity is a team sport and everyone needs to be involved

🎥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?

Continue reading “My advice to security leaders is that cybersecurity is a team sport and everyone needs to be involved” | >

New algorithms enable efficient machine learning with symmetric data

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.

U of I lab to receive $15M for AI tool development, molecular innovation

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.

The Winners of the Project Hyperion Generation Ship Competition have been Announced!

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.

AI tools identify promising alternatives to lithium-ion batteries for energy storage

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 , 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.

A guidance to intelligent metamaterials and metamaterials intelligence

The bidirectional interactions between metamaterials and artificial intelligence have recently attracted much attention. Here, the authors stand from a unified perspective to discuss intelligent metamaterials (AI for metamaterials) and metamaterials intelligence (metamaterials for AI).

Metamaterials: Highly Twisted Rods Store Large Amounts of Energy

An international research team coordinated at KIT (Karlsruhe Institute of Technology) has developed mechanical metamaterials with a high elastic energy density. Highly twisted rods that deform helically provide these metamaterials with a high stiffness and enable them to absorb and release large amounts of elastic energy. The researchers conducted simple compression experiments to confirm the initial theoretical results. Their findings have been published in the science journal Nature. (DOI: 10.1038/s41586-025–08658-z)

Be it springs for absorbing energy, buffers for mechanical energy storage, or flexible structures in robotics or energy-efficient machines: Storage of mechanical energy is required for many technologies. Kinetic energy, i.e. motion energy or the corresponding mechanical work, is converted into elastic energy in such a way that it can be fully released again when required. The key characteristic here is enthalpy – the energy density that can be stored in and recovered from an element of the material. Peter Gumbsch, Professor for mechanics of materials at KIT’s Institute for Applied Materials (IAM), explains that achieving the highest possible enthalpy is challenging: “The difficulty is to combine conflicting properties: high stiffness, high strength and large recoverable strain.”

Clever arrangement of helically deformed rods in metamaterials.

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