Signals

In this podcast episode, investor Gavin Baker shares insights on processing rapid AI advancements like Gemini 3, the importance of premium model access, and innovative ideas such as space-based data centers, highlighting the competitive dynamics in AI hardware and business models.

This video provides an overview of AI engineering from Chip Huyen's book, covering foundation models, prompt engineering, RAG, fine-tuning, agents, and system building for high-salary careers in this booming field.

DeepAnalyze-8B is an innovative 8B-parameter agentic LLM that automates the full data science pipeline, from raw data to deep research reports, using curriculum-based training and trajectory synthesis to outperform larger proprietary models.

Exploring how Markov chains serve as foundational language models and their relationship to modern LLMs through temperature control and state transitions.

A foundational AI research insight: general computational methods ultimately outperform human knowledge-based approaches.

A general audience introduction to how large language models like ChatGPT are built, from data collection to neural network training.

How physics training in linear algebra, tensor calculus, and entropy provides the mathematical foundation for understanding LLMs.

A technical discussion on the challenges of PDF parsing and why computer vision approaches often work better than traditional metadata-based methods.

A deep dive into the ongoing discussion about whether large language models truly understand the world or simply excel at pattern recognition.