Apple Open-sources Apple Silicon-Optimized Machine Learning Framework MLX

Apple’s MLX combines familiar APIs, composable function transformations, and lazy computation to create a machine learning framework inspired by NumPy and PyTorch that is optimized for Apple Silicon. Implemented in Python and C++, the framework aims to provide a user-friendly and efficient solution to train and deploy machine learning models on Apple Silicon.

How LinkedIn Uses Machine Learning to Address Content-related Threats and Abuse

To help detect and remove content that violates their standard policies, LinkedIn has been using its AutoML framework, which trains classifiers and experiments with multiple model architectures in parallel, explain LinkedIn engineers Shubham Agarwal and Rishi Gupta.

Researchers at Stanford Use Brain Signals to Control Intelligent Robots

In a paper presented at the 7th Annual Conference on Robot Learning last November, a team of Stanford University researchers presented an intelligent human brain-robot interface that enables controlling a robot through brain signals. Dubbed NOIR, short for Neural Signal Operated Intelligent Robots, the system uses electroencephalography (EEG) to communicate human intentions to the robots.

OpenAI GPT Store is a Nascent Marketplace for Custom ChatGPTs

OpenAI has started rolling out its new GPT Store, announced a few months ago along with GPTs, to provide a mechanism for ChatGPT Plus, Team and Enterprise users to share custom ChatGPT-based chatbots they create.

LLMs May Learn Deceptive Behavior and Act as Persistent Sleeper Agents

AI researchers at OpenAI competitor Anthropic trained proof-of-concept LLMs showing deceptive behavior triggered by specific hints in the prompts. Furthermore, they say, once deceptive behavior was trained into the model, there was no way to circumvent it using standard techniques.