721
LLMs can be exhausting
Some days I get in bed after a tortuous 4-5 hour session working with Claude or Codex wondering what the heck happened. It's easy to blame the model - there'...
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,091 posts.
722
Which GPU(s) to get for deep learning
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
723
What GPT-OSS leaks about OpenAI's training data
OpenAI recently released their open-weights model. Here we'll discuss how that inevitably leaks some information about their model training stack, and, on the way, show that GPT-5 was trained on phrases from adult websites....
724
The Illustrated Word2vec
Discussions: Hacker News (347 points, 37 comments), Reddit r/MachineLearning (151 points, 19 comments) Translations: Chinese (Simplified), French, Korean, Portuguese, Russian “There is in all things a pattern that is part of our universe. It has symmetry, elegance, and grace - those qualities you find always in that…
725
Understanding Neural Network, Visually
An interactive visualization to understand how neural networks work
726
Lawyer cites fake cases invented by ChatGPT, judge is not amused
Legal Twitter is having tremendous fun right now reviewing the latest documents from the case Mata v. Avianca, Inc. (1:22-cv-01461). Here’s a neat summary: So, wait. They file a brief …
727
1931: Kurt Gödel shows limits of math, logic, computing, AI
His famous 1931 paper identified the fundamental limits of math, logics, theorem proving, computing, AI.
728
Waymos crash less than human drivers
Human drivers keep crashing into Waymos that aren't even moving.
729
Two things LLM coding agents are still bad at
I’ve been trying to slowly ease into using LLMs for coding help again lately (after quitting ), but something always feels off -- like we’re not quite on the...
730
LLM-powered tools amplify developer capabilities rather than replacing them
How LLM-powered programming tools amplify developer capabilities rather than replace them
731
Building better AI tools
I’ve been reading this week about how humans learn, and effective ways of transferring knowledge. In addition, I’ve also had AI in the back of my mind, and...
732
Open AI gets GPT-3 to work by hiring an army of humans to fix GPT’s bad answers
A few months ago, Smith wrote an AI-skeptical article where he threw some sentences at the GPT-3, a text processor from Open AI. As wikipedia puts it:
733
AI has a multiplying effect on existing technical skills
Friendly articles and tutorials for front-end web developers. ❤️
734
LLMs are cheap
A lot of people think LLMs are expensive to operate. That was true a couple of years ago, but these people haven't updated their views after an approximately 1000x reduction in prices over two years.
735
Fast LLM Inference From Scratch (using CUDA)
This post is about building an LLM inference engine using C++ and CUDA from scratch without libraries.
736
Seven replies to the viral Apple reasoning paper and why they fall short
Also: another paper that seals the deal
737
Whisper: Nvidia RTX 4090 vs. M1 Pro with MLX
How fast is my Whisper Benchmark with the MLX Framework from Apple? Nvidia 4090 / M1 Pro / M2 Ultra / M3
738
How to visualize decision trees
Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. Unfortunately, current…
739
Planes are still decades away from displacing most bird jobs
Note: Parts of this essay were written by GPT-3, so it might contain untrue facts. Introduction Many of my friends are extremely excited by planes, rockets, and helicopters. They keep showing me videos of planes flying at enormous speed, rockets taking off from the ground while creating fiery infernos around them, and…
740
Practical Tips for Finetuning LLMs Using LoRA (Low-Rank Adaptation)
Things I Learned From Hundreds of Experiments
741
The hidden cost of AI coding
AI coding tools boost productivity but may sacrifice the flow state and deep satisfaction developers experience when writing code by hand. What are we losing?
742
AI is a business model stress test
AI commoditizes anything you can specify. It can't (yet) commoditize what requires ongoing operation.
743
A Neural Network in 11 Lines of Python
A machine learning craftsmanship blog.
744
The OpenAI board was right
Even on little things, Sam is not consistently candid.
745
GPT-4 and professional benchmarks: the wrong answer to the wrong question
OpenAI may have tested on the training data. Besides, human benchmarks are meaningless for bots.
746
Generative Art Finds Its Prodigy
In our last article " Why Love Generative Art ?" we had a blast putting the genre into the context of modern art history. In this article we interview contemporary generative art prodigy (my words, not his) Manolo Gamboa Naon from Argentina. Manolo's work feels like it is the re
747
Ok, it’s time to freak out about AI
There are at least two kinds of catastrophe scenarios, and both are getting more plausible
748
ChatGPT in an iOS Shortcut: Smart HomeKit Voice Assistant
Ever since I tried ChatGPT and GPT-3, everything else feels painfully dumb and useless: Siri, Alexa, Google Home and all other “smart”…
749
Working with AI feels more like leadership than coding
Working with AI is less predictable than traditional software. That makes leadership skills such as context, clarity, and feedback more valuable.
750
The AI Misinformation Epidemic
Interest in machine learning may be at an all-time high. Per Google Trends, people are searching for machine learning nearly five times as often as five years ago. And at the University of California San Diego (UCSD),