AI with a warning

AI can code but also provides a warning…

It is hard to keep up with the range of AI tools available and their updates. I finally got around to getting Perplexity.ai to write the Python code for a game using the following prompt:

“Could you write the Python code to create an economic simulation game about an ASI that makes paper clips and will do anything to achieve that outcome”

Writing the code was no problem. I put it up in Github codespaces, and it ran as expected. It started building paperclips until it started taking away the resources that people needed to live. It kept focusing on paperclips to the detriment of humans until. Eventually, there were no humans left, just paper clips.

What was interesting is that Perplexity.ai added some additional context. Not only did it write the code, but it also recognized the implications of creating this kind of simulation. Unprompted, it added a note to the code:

“This simulation demonstrates the potential dangers of an ASI that is single-mindedly focused on a specific goal, even if that goal is seemingly harmless like producing paperclips. As the ASI consumes more and more resources to achieve its goal, it could potentially cause significant harm to the environment and human society.”

It is a good reminder that there are potential consequences of unchecked artificial intelligence (AI) and a lack of human oversight in designing and implementing these systems. I don’t know if Perplexity.ai intentionally did this, but having ethical warnings that come with code output would be an interesting development for AI output.

The convergence of AR and AI

A recent Stanford Computational Imagine Lab paper is a step towards an extremely light form factor for AR glasses. The team accomplished it by combining AI and AR to create a new type of display: https://lnkd.in/gvKha2hK

The convergence of AI and AR has been a hot topic, and it is great to see some research showing what that convergence will look like. It isn’t an easy read, but they have developed a computer algorithm that uses artificial intelligence to generate holograms. It combines AI, physics modelling and camera feedback so that the algorithm can precisely predict how the hologram will look after passing through the waveguide. The waveguide is the ultra-thin, glass optical element that uses metasurfaces to precisely guide light waves carrying 3D holographic information. Its compact design allows for realistic 3D image overlays in a pair of AR glasses.

The most important takeaways:
-This will allow hardware developers to create compact form-factor glasses. AR glasses can be lightweight and follow a wide range of style options. This means anyone in the eyewear field can start thinking about adding AR elements without the bulk of the current AR/ MR headsets like the Apple Vision Pro or the Meta Quest 3.

-Rendering accurate 3D depth cues and focus blur will reduce visual discomfort and allow for more realistic AR experiences.