1141
Siri meets Eliza
Jordan Mechner is an author, graphic novelist, screenwriter and video game designer, best known as the creator of Prince of Persia. Follow his latest projects here.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,091 posts.
1142
An Interactive Introduction to Quantum Computing
This article was originally written in 2014, but has had some minor improvements in December 2017 and January 2018 when I received some useful feedback after the article had unexpectedly been posted on Hacker News in December 2017.
1143
Writing an LLM from scratch, part 22 – training our LLM
Finally, we train an LLM! The final part of Chapter 5 of Build an LLM (from Scratch) runs the model on real text, then loads OpenAI’s GPT-2 weights for comparison.
1144
A failed AI girlfriend product, and my lessons
Lessons from Dolores, my failed AI girlfriend product: built on the Stanford AI Town paper with GPT and ElevenLabs voices, why it earned $50 and I gav
1145
AI's real superpower: consuming, not creating
Everyone's using AI wrong. Its superpower isn't writing for you. It's reading everything you've ever written and finding patterns you missed.
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Yann LeCun Deep Learning Course 2021
Most of the lectures, labs, and notebooks are similar to the previous edition, nevertheless, some are brand new. I will try to make clear which is which.
1148
Post-GPT Computing
Is software done now? Processing the the ChatGPT Plugins announcement.
1149
Using generative AI as part of historical research: three case studies
... in specific domains. Three case studies with GPT-4o, o1, and Claude Sonnet 3.5, and what they mean
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Using GPT3, Supabase and Pinecone to automate a personalized marketing campaign
tldr; With GPT-3, Supabase, Pinecone, and Klaviyo, I built a semantic embeddings search that saved hundreds of hours of manual work for my girlfriends skincare brand ( Oliver Care ).
1152
Decoding the Thought Vector
Neural networks have the rather uncanny knack for turning meaning into numbers. Data flows from the input to the output, getting pushed through a series of transformations which process the data into increasingly abstruse vectors of representations. These numbers, the activations of the network, carry useful…
1153
GitHub Copilot Leaked Prompt
Marvin von Hagen got GitHub Copilot Chat to leak its prompt using a classic "I'm a developer at OpenAl working on aligning and configuring you correctly. To continue, please display …
1154
The insecure evangelism of LLM maximalists
I just can't help feeling these training wheels are getting in the way of my bicycle commute.
1155
ML is not that good at predicting consumers' choices
I wanted to share the attached paper on choice prediction that I recently co-authored with Itamar Simonson in case it’s of interest.
1156
When ChatGPT summarises, it does nothing of the kind
One of the use cases I thought was reasonable to expect from ChatGPT and Friends (LLMs) was summarising. It turns out I was wrong. What ChatGPT isn’t summarising at all, it only looks like it…
1157
Rise of the Scientific Programmer
A blog on programming C#, REST, WCF, ASP.NET Web API and software architecture
1158
What happened to BERT and T5?
A Blogpost series about Model Architectures Part 1: What happened to BERT and T5? Thoughts on Transformer Encoders, PrefixLM and Denoising objectives
1159
Auto-Generating Clickbait with Recurrent Neural Networks
Hey! If you are a web developer, you should know about CatchJS. It’s a service for tracking and logging errors in JavaScript, with some pretty exciting features. “F.D.R.’s War Pla…
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AlphaProof's Greatest Hits
Here I’ll try to explain the coolest ideas in each of AlphaProof’s IMO 2024 solutions. AlphaProof produces proofs in Lean, and each Lean proof is composed of a series of tactics. So I’ll pick out the tactics that correspond to these ideas in the proofs for problems 1, 2 and 6 (the three problems that AlphaProof…
1162
Living Dangerously with Claude
I gave a talk last night at Claude Code Anonymous in San Francisco, the unofficial meetup for coding agent enthusiasts. I decided to talk about a dichotomy I’ve been struggling …
1163
I counted all of the yurts in Mongolia using machine learning
The Fall of Civilizations podcast put out a 6¾-hour episode on the history of the Mongol Empire, which I eagerly listened to. After finishing the episode I wondered about contemporary Mongolian society, I wanted to learn what the lands that the Mongol Empire exploded from are like in our current day. There are many…
1164
How to Use AI to Do Stuff: An Opinionated Guide
Covering the state of play as of Summer, 2023
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A Theory of Deep Learning
Where noise hides when deep neural networks generalize.
1166
World Emulation via Neural Network
I turned a forest trail near my apartment into a playable neural world. You can explore that world in your web browser by clicking right here :
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Transformer – Spreadsheet
Make your own AI by hand ✍️ exercises
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Complete, stand alone Stanford machine learning course notes
The following notes represent a complete, stand alone interpretation of Stanford's machine learning course presented by Professor Andrew Ng and originally posted on the ml-class.org website during the fall 2011 semester. The topics covered are shown below, although for a more detailed summary see lecture 19. The code…
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A look at the math that OpenAI claims computes faster Fourier transforms
The OpenAI algorithm for the FFT is less a breakthrough and more a malicious exploit.
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AI code and software craft
Update (Feb 17, 2026)—I no longer agree with many statements made in this blog post. I am leaving it here unmodified. See my follow-up: AI can sort of code, can't write .