Essence of AI

Computer scientist LaurieWired identifies a sixty-year-old architectural limitation in DRAM where memory must periodically "blind" itself to recharge leaky capacitors, causing significant latency spikes known as refresh stalls. While these nanosecond delays are unnoticeable to average users, they create critical performance bottlenecks in high-stakes fields like high-frequency trading. T...

In this episode, we look at a retired coding test from Anthropic that used to be a secret way to find top performance engineers. The company decided to make the test public after their AI, Claude Opus 4.5, started beating human candidates in under two hours. We discuss the main benchmarks to beat, starting with the AI's record of 1487 cycles (and an even faster 1363 cycles in a special setup). We...

In this episode, we dive into the seminal research paper from Facebook AI Research (FAIR) that introduced Retrieval-Augmented Generation (RAG) , a framework designed to empower AI for knowledge-intensive NLP tasks . We explore how RAG solves the limitations of "closed-book" models by combining parametric memory —the internal knowledge stored in a pre-trained BART model—with an external n...

Dive into a thought-provoking keynote by Alan Kay from GOTO 2021 as he tackles the challenging question: "Is Software Engineering Still an Oxymoron?" . Drawing on his extensive experience and insights from friends and colleagues, Kay defines true engineering as "designing, making, and repairing things in principled ways" . This talk explores the historical evolution of engineer...

Join Andrej Karpathy, former Director of AI at Tesla, as he reveals the  profound shifts fundamentally reshaping software , a transformation more rapid and significant than any in the last 70 years. Discover the evolution of software: Software 1.0 : Traditional human-written code like C++. Software 2.0 : Neural networks, where the "code" is the network's weights, tuned by data (e.g.,...

The term "Halt and Catch Fire" (HCF), often associated with the mnemonic HCF, refers to a machine code instruction that causes a computer's central processing unit (CPU) to enter a state of non-meaningful operation, typically necessitating a system restart. While initially a humorous, fictitious concept in the context of IBM System/360 computers, HCF evolved to describe real, often unintentional,...

This text centers on recent research, particularly the "Absolute Zero" paper, which explores  training large language models (LLMs) without human-labeled data . The core concept involves  autonomous self-play , where one AI model creates tasks for another to solve, fostering continuous improvement. The author emphasizes the potential for this approach to significantly  increase reinforce...

Derek Muller of Veritasium discusses the role of artificial intelligence in education, arguing that while it can be a valuable tool for providing timely feedback and personalized practice, he expresses concern that AI's ability to complete tasks for students could hinder their necessary effortful learning process. He also touches on the limitations of human working memory, referencing System 1...

Wes Roth showcases  Google's Gemini 2.5 Pro's impressive coding and reasoning abilities  through various complex prompts. The AI model  demonstrates a capacity for self-correction and achieves top rankings  in coding benchmarks. Original video: https://youtu.be/1nkSwqQpKA8?list=TLGGM_h6CnxVVQIyODAzMjAyNQ

A NotebookLM podcast on Andrej Karpathy's video titled "Understanding Large Language Model Training and Capabilities". Original YouTube video: https://www.youtube.com/watch?v=7xTGNNLPyMI

A podcast on How I use LLMs by Andrej Karpathy . Generated with NotebookLM .