Plot Your Path: The 2024 AI Agent Ecosystem Map
Plot Your Path: The 2024 AI Agent Ecosystem Map
Who uses public libraries the most? There’s a divide by religion, and politics.
The capability isn’t unique to Meta Ray Ban Smart Glasses, but shows the potential for just about anyone to be able to utilize this technology.
Via Superhuman
| “A pair of Harvard students have figured out a way to turn Meta’s sleek Ray-Ban smart glasses into something straight out of a sci-fi flick. Using a custom-built AI platform, they can identify anyone just by looking at them — plus reveal personal details like their address, phone number, and relatives. |
| How it works: |
- The I-XRAY platform uses a facial search engine to put a name to the face of anyone you glance at through the smart glasses
- Then, it’ll run that name through more databases to track down other details about the person’s life
- Finally, it’ll present that information in a single, well-organized document
- An eerie video shows the students approaching random people on the street and asking them questions about their lives (i.e. “Did you attend so-and-so high school?”)
- A system that can detect someone’s net worth or level of fame could be next on the horizon
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| If you’re more than a little freaked out, well, that’s exactly the point: The students say they’re not trying to invade people’s privacy — quite the opposite. Their goal is to spark a conversation about safety in a world where the gadgets we wear are getting smarter by the day. |
| We’ve been through this before: It feels a little like the early days of the iPhone, when everyone was trying to jailbreak their devices, despite Apple’s best efforts. New technologies always carry risk, which we gradually learn to mitigate over time. The Harvard students say they want to do the same for surveillance threats — teaching people how to protect themselves before it’s too late.” |
I-XRAY: The AI Glasses That Reveal Anyone’s Personal Details—Home Address, Name, Phone Number, and More—Just from Looking at Them
https://docs.google.com/document/d/1iWCqmaOUKhKjcKSktIwC3NNANoFP7vPsRvcbOIup_BA/edit
Via The Rundown
| “The Rundown: Two Harvard students just demoed a proof-of-concept system using Meta’s Ray-Ban smart glasses that allow the wearer to access personal information about strangers, raising major privacy concerns. |
| The details: |
- AnhPhu Nguyen and Caine Ardayfio combined Meta’s smart glasses with custom software, enabling the ability to ID people and retrieve personal data.
- The system, I-XRAY, uses a combination of facial recognition, reverse image search, and LLMs to find names, addresses, phone numbers, and other details.
- The students tested I-XRAY on Harvard’s campus, correctly identifying strangers and their personal info.
- The privacy concerns come as Meta recently confirmed it may use any images and videos shared with Meta AI for training purposes.
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| Why it matters: This demo exposes how much privacy and surveillance are about to change in the AI age—and it is coming fast. If a couple of students can achieve these abilities with a pair of Meta smart glasses and publicly available tools, what will dedicated corporations and governments be capable of?” |
Geoff Hinton and John Hopfield win Nobel Prize in Physics for their work in foundational AI
Geoff Hinton and John Hopfield win Nobel Prize in Physics for their work in foundational AI
Nobel Prize Goes to ‘Godfathers of AI’ Who Now Fear Their Work Is Growing Too Powerful
John Hopfield and Geoffrey Hinton developed artificial neural networks that laid the foundation for modern recommendation systems and generative AI.
“The Nobel Prize for Physics went to pioneers of artificial intelligence for breakthroughs in machine learning. The University of Toronto’s Geoffrey Hinton, one of the so-called “Godfathers of AI,” and Princeton’s John Hopfield used tools from physics to create the underpinnings of modern machine learning. “Machines can now mimic functions such as memory and learning,” the prize committee said. “This year’s laureates in physics have helped make this possible.” Hinton and Hopfield’s work, which builds on ideas from the human brain as well as fundamental physics, are behind all the recent advances in AI, which is itself improving scientific discovery in things like Google DeepMind’s AlphaFold.”
Geoffrey Hinton from University of Toronto awarded Nobel Prize in Physics
Hinton and John Hopfield of Princeton University were honoured for work that enables machine learning
Why “unlearning” is your best slayer of “zombie leadership”
By unlearning old leadership mindsets, cultures, and assumptions we can move from Industrial Age thinking to Intelligence Age thinking.
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