05/25/2026
I LIKE TACOS but this one is different …..
Why Do AI Systems Forget What They’ve Learned?
One of the biggest challenges in modern AI isn’t learning… it’s remembering.
It’s called catastrophic forgetting — when a neural network learns something new and unintentionally overwrites what it already knew.
Think about that for a second. An AI that learns… but can’t retain.
🧠 In my latest video, I break down:
What catastrophic forgetting actually is
Why it happens in neural networks
How Spiking Neural Networks (SNNs) change the game
And how approaches like TACOS may help AI systems learn continuously without losing past knowledge
This isn’t just a technical issue — it’s a foundational challenge for building true, adaptive, human-like intelligence.
If we want AI that can grow, adapt, and evolve over time… we have to solve memory.
🎥 Watch here: https://youtu.be/zWRYLNRyEEw
💭 I’d love your thoughts: Do you think brain-inspired models like SNNs are the future of AI? Or will traditional deep learning evolve to solve this first?
Have you ever noticed how AI struggles to remember old information when learning new tasks? This massive machine learning challenge is known as catastrophic ...
