artificial intelligence

Sam Altman’s OpenAI succession plan

Good morning, { AI enthusiasts }. No one in AI drives the narrative quite like Sam Altman, and his most up-to-date profile didn’t disappoint. From revealing a succession plan at hand OpenAI to an...

The Proximity of the Inception Rating as an Evaluation Criterion

Introduction Lately, Generative Adversarial Networks (GANs) have achieved remarkable ends in automatic image synthesis. Nonetheless, objectively evaluating the standard of the generated data stays an open challenge. Unlike discriminative models, for which established metrics exist,...

xAI joins SpaceX in mega-merger

Good morning, { AI enthusiasts }. Rockets, AI models, a social platform, and now data centers in orbit — Elon Musk is constructing something that no other company can replicate.Musk just merged xAI and...

Constructing Systems That Survive Real Life

You hold a Master’s in Physics and Astrophysics. How does your background play into your work in data science and AI engineering?  Physics taught me two things that I lean on on a regular basis:...

AI agents get their very own social network

Good morning, { AI enthusiasts }. What happens while you give one million AI agents their very own social platform? They create religions, mock their users, and begin asking for personal channels… While humans...

Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization

on Real-World Problems is Hard Reinforcement learning looks straightforward in controlled settings: well-defined states, dense rewards, stationary dynamics, unlimited simulation. Most benchmark results are produced under those assumptions. Observations are partial and noisy, rewards...

Learn how to Run Claude Code for Free with Local and Cloud Models from Ollama

of Claude Code, Anthropic’s ubiquitous command-line coding tool, but baulk at the prices of using it, Ollama recently gave you a late Christmas present.  Just a few weeks ago, they announced that their latest...

On the Possibility of Small Networks for Physics-Informed Learning

Introduction within the period of 2017-2019, physics-informed neural networks (PINNs) have been a very talked-about area of research within the scientific machine learning (SciML) community . PINNs are used to unravel atypical and partial...

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