The AI Canvas Newsletter #5

Extreme Parkour with Legged Robots – Carnegie Mellon University

“Even after 4 years of locomotion research, we keep getting surprised by how far we can push the limits of legged robots! Extreme Parkour: extremely long & high jumps, ramp, handstand, etc. all with a single neural net!”

Decomposing Language Models Into Understandable Components – Anthropic

“Neural networks are trained on data, not programmed to follow rules. With each step of training, millions or billions of parameters are updated to make the model better at tasks, and by the end, the model is capable of a dizzying array of behaviours. We understand the math of the trained network exactly – each neuron in a neural network performs simple arithmetic – but we don't understand why those mathematical operations result in the behaviours we see. This makes it hard to diagnose failure modes, hard to know how to fix them, and hard to certify that a model is truly safe.”

Training AI to Play Pokemon with Reinforcement Learning – Peter Whidden

“Right now we're watching 20,000 games played by an AI as it explores the world of Pokémon Red in the beginning it starts with no knowledge whatsoever and is only capable of pressing random buttons but throughout 5 years of simulated game time it gains many capabilities by learning from its experiences eventually the AI is able to catch Pokémon evolve them and defeat a gym leader at one point it even manages to exploit the game's random number generator.”

GPT-pilot

“You specify what kind of app you want to build. Then, GPT Pilot asks clarifying questions, creates the product and technical requirements, sets up the environment, and starts coding the app step by step, like in real life, while you oversee the development process. It asks you to review each task it finishes or to help when it gets stuck. This way, GPT Pilot acts as a coder while you are a lead dev who reviews code and helps when needed.”

How LinkedIn Is Using Embeddings to Up Its Match Game for Job Seekers – Jacob Mannix

“Think of how many times a day you use some type of search functionality across your devices and applications to discover information, find a contact, or a new job opportunity. The truth is we all depend on the ability to search for things online, and finding the right match to the information, organization, or to a job that maps to your skills and interests makes all the difference in our experiences and the knowledge we can gain.”

How ChatGPT and other AI tools could disrupt scientific publishing

“A world of AI-assisted writing and reviewing might transform the nature of the scientific paper.”

OpenAI plans major updates to lure developers with lower costs, sources say

“OpenAI plans to introduce major updates for developers next month to make it cheaper and faster to build software applications based on its artificial intelligence models, as the ChatGPT maker tries to court more companies to use its technology, sources briefed on the plans told Reuters.”

Quick Links

• The big AI and robotics concept that has attracted both Walmart and Softbank
• And that’s how it all started: AI managed to design a robot that walks — from scratch, and in less than 60 seconds

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