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Will the scaling laws keep on scaling as AI models get bigger and bigger? AI companies are bullish, but history suggests it is not always so simple.

I’ve been experimenting with vibe coding, math and physics with AI assistance from Grok, to test the performance of today's AI on things that I know well enough.

Legendary futurists Max More, Anders Sandberg, Natasha Vita-More, and Eliezer Yudkowsky recently met online to debate AI and possible AI futures.

By including interactions with users in training data, AI models could gain improved statistics on how people actually interact and an improved ability to resolve imprecisions and capture shifting language patterns.

In a technical vibe coding project I'm using Grok 4 for both coding and exploring the underlying math and physics. I'm impressed with the results so far.

Artificial Intelligence (AI) pioneer Geoffrey Hinton, winner of the 2024 Nobel Prize for Physics, shared his insights on AI in two recent videos published by The Royal Institution.

I watched the Beneficial AGI Summit & Unconference 2025 online. This post collects some personal impressions.

Explore how merging Graph Machine Learning with Large Language Models creates Graph Foundation Models, enhancing our ability to analyze interconnected data for advanced applications in various domains.

OpenClaw, an open-source AI agent project, and Moltbook, a bot-only social network, have surged in popularity since late 2025, attracting commentary from AI leaders.

Internal embodiment, combining physical interaction and self-awareness of internal states, could improve safety and trustworthiness of future AI systems.