Rethinking AI: Beyond AGI – The Cognitive Cone
Artificial General Intelligence (AGI) is a vague concept, often debated over what truly qualifies as "general" intelligence. Some might argue that systems like ChatGPT have achieved AGI because they handle many tasks. However, these systems, like all intelligent ones, have limitations and aren't universally "clever." In other words, AGI is a poor metric for measuring progress and therefore cannot effectively guide development.
In his 2019 paper, "The Computational Boundary of a 'Self': Developmental Bioelectricity Drives Multicellularity and Scale-Free Cognition, Michael Levin articulates this idea:
"Any Self is demarcated by a computational surface – the spatio-temporal boundary of events that it can measure, model, and try to affect. This surface sets a functional boundary—a cognitive 'light cone' which defines the scale and limits of its cognition."
Michael Levin’s concept of the cognitive cone, as visualized in the diagram, provides a powerful framework for understanding and guiding AI progress. It reframes intelligence not as a binary achievement but as a continuum defined by the breadth and depth of a system's perceptive and actionable range. Here’s how this perspective can shape how we think about AI development.
This as tons of useful application regarding AI.
Full post there:
damien-henry.com/writings/rethinking-ai-beyond-agi-the-cognitive-cone
How much is a company an AI company?
Let's figure out!
This thread classifies businesses into 10 levels.
This post contains real insights, plus just a bit of shitposting at the end. Because, well, I'm not making the rules.
Let's go 👇
Level 1: The company doesn't use AI.
→ Their competitors, suppliers are already using AI and it’s already changing it's position in the ecosystem.
→ Some employees are using Claude, ChatGTP, or other tools for work without telling their boss.
→ In fact, all the tools we are using use AI under the hood. Your inbox, your camera, your social feeds depend on learning algorithms.
In other words, it's impossible to run a business strictly without AI, even if someone wanted to.
I created the Google Cardboard almost ten years ago but quit VR soon after to focus on Machine Learning.
VR is based on a ridiculous misunderstanding.
Let me explain why in this thread.
I was curious about this paper:
arxiv.org/pdf/2202.05826.pdf
It explains how creating an algorithm able to solve complex tasks while being trained on simple ones only.
#ImageGen Video is just released, but I believe that #Phenaki also from @GoogleAI is much better and will lead the path while ImageGen and Make-a-video from Meta AI are a dead end.
This thread explains why.
#Dalle, #StableDiffusion, etc.. are amazing to imagine things like avocado chairs, but they can't draw specific objects.
This is a major blocker for those who want to use this tech for advertising a real product.
But this will change.
👇 This thread to explain how.