The best part about AI’s amazing capabilities is that it’ll be so laughably limited compared to what we’ll have in 2 years …and so will that when compared to what we’ll have in 5 years
TECHNOLOGY
-
First 1 Billion View Tweet: People Embrace AI Lore Content
By
–
First 1B view tweet? People like Lore…
-
Self-driving cars eliminate need for manual vehicle operation
By
–
Kids these days don’t know how good they have it. When I was young you had to drive your car.
-
Meta acquires PlayAI, integrated team
By
–
BREAKING : According to Bloomberg, Meta acquired PlayAI, a Voice AI startup where the whole team is about to join Meta next week. One startup per feature?
-
The Challenge of Finding Right Abstractions in AI
By
–
i mean, sure, but coming up with the *right* abstractions is extremely hard
-
SN-1 Software: Training First LeNets in Deep Learning
By
–
SN-1 is the software I used to implement and train the first LeNets.
-
LeNet Implementation History: SN-1 Development and Early Neural Networks
By
–
LeNet was implemented in late 1988 using SN-1 originally developed on this Amiga and on Léon's Amiga.
I finished SN during my postdoc at the University of Toronto, implemented shared weights and a graphic output.
Experiments were run on a Sun 4 at Bell Labs in late 1988. -
Compute Returns: 10x Compute Yields 10-30% Model Improvement
By
–
No one ever thought you would get 10x return for 10x compute. You get 10-30% returns for 10x compute. But if that improvement is enough to increase model ability in an economically meaningful way, it can be worth the cost.
-
Scaling Laws Hold: Larger AI Models Continue Improving
By
–
And they have been proven right. So far, no scaling limits, as bigger models are still better. When I wrote that GPT-4 was still the best model ever. I don’t understand the argument you are trying to make here, or why you brought up this random tweet as a gotcha? Seriously.
