From Hackaday.com, this is a neural network simulation of a pet squid.

Autonomous Behavior:

• The squid moves autonomously, making decisions based on his current state (hunger, sleepiness, etc.).
• Implements a vision cone for food detection, simulating realistic foraging behavior.
• Neural network can make decisions and form associations.
• Weights are analysed, tweaked and trained by Hebbian learning algorithm.
• Experiences from short-term and long-term memory can influence decision-making.
• Squid can create new neurons in response to his environment (Neurogenesis)

As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.