AI changes the economics of software rewrites
AI changes rewrite economics because codebases with clear, common patterns get more leverage than proprietary or inconsistent systems.
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,092 posts.
AI changes rewrite economics because codebases with clear, common patterns get more leverage than proprietary or inconsistent systems.
Or, Look Ma – I Made GPT-4 Self Aware!
OpenAI seems to have implemented some mitigation steps for a well-known data exfiltration vulnerability in ChatGPT. Attackers can use image markdown rendering …
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An intuitive explanation of the James-Stein estimator.
What a commit history of version-controlled research papers could look like?
In this blog I share my experience in building a Python REPL augmented with ChatGPT. I explore how the application is built, and speculate on software engineering patterns and paradigms that might emerge in systems built on Large Language Models (LLMs). GEPL - Generate, Evaluate, Print, Loop Link to this section…
HN discussion
I’ve been reading a paper [1] written two decades ago, which itself is an account of events two decades before that. It is Alan Kay nominally writing about the history of a programming langua…
Custom GPTs by OpenAI are practically free new hires. But as as new hires go, most are not very useful.
If you ever wanted to learn about machine learning you could do worse than have Jason Gauci teach you. Jason has worked on YouTube recommendations. He was an early contributor to TensorFlow the open-source machine learning platform. His thesis work was cited by DeepMind. But what I find so fascinating with Jason is he…
Table of Contents Agents Need to Interact With LLMs Agents Should Be Event-Driven Agents Need Context Agents Require Memory When SQL Is Not Enough Parting Thoughts AI Agents have improved in leaps …
This post is aimed at readers who are familiar with Rust and want some insight into why it is great for machine learning.
In the face of disruptive technologies, moats created by closed source are temporary. Even OpenAI’s closed source approach can’t prevent others from catching up. So we anchor our value in our team — our colleagues grow through this process, accumulate know-how, and form an organization and culture capable of…
[Special thank you to Ian Kivlichan for many useful pointers (E.g. the 100+ year old Nature paper “Vox populi”) and nice feedback. 🙏 ] High-quality data is the fuel for modern data deep learning model training. Most of the task-specific labeled data comes from human annotation, such as classification task or RLHF…
Machine Alignment Monday, 7/24/23
Prompted by letters from three engineers, the author asks what remains for humans as AI takes over execution, naming judgment, taste, and derivation as irreplaceable, and warns against the erosion of subjecthood.
I offer "no economic boost," you receive "P(doom)"
spoiler alert: not very
Hide your kids, hide your wife: how the Agile Industrial Complex has set us all up to be duped by AI codegen
[Google] recently began crunching data from employee reviews and promotion and pay histories in a mathematical formula Google says can identify which of its 20,000 employees are most likely to quit.
None of what I write in this newsletter is about sowing doubt or "hating," but a sober evaluation of where we are today and where we may end up on the current path. I believe that the artificial intelligence boom — which would be better described as a generative AI boom
I bought an NVIDIA DGX Spark! It's actually quite a competent general purpose computer while being super tiny and power efficient. It basically just has an ARM CPU, a decent NVIDIA GPU (with the same number of CUDA cores as the RTX 5070), 128 GB of unified memory, and a 4 TB SSD.
Prompted by Keith Frankish's recent streamed discussion of LLM intentionality on YouTube , there's a particular idea I wanted to share which...