2671
Overcoming the limits of current LLMs
Large language models (LLM) have been all the rage for quite some time now. Looking beyond the hype though, they have severe limitations: hallucinations, lack o
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
2672
Sam Altman Goes Full Emperor
His boundless ambition is putting AI, and the world, on a dangerous path.
2673
The Hyperbolic Geometry of DMT Experiences (2016)
[Content Warning: Trying to understand the contents of this essay may be mind-warping. Proceed with caution. Featured image credit: Paul Nylander] Friends, right here and now, one quantum away, the…
2674
Agentic pelican on a bicycle
The agentic loop—generate, assess, improve—seems like a natural fit for iterating on pelicans on bicycles.
2675
Sandboxing AI Agents in Linux
Like many developers, I find myself more and more using AI agents to help with software development. I currently use Claude Code, the co...
2676
2677
Building an (almost) fully self-hosted, sandboxed, agentic software factory
I built an (almost) fully self-hosted, sandboxed, agentic software factory.
2678
Electricity use of AI coding agents
Most of the discourse about the environmental impact of LLM use focuses on a ‘median query.’ What about a Claude Code session?
2679
How should we evaluate progress in AI?
Improving artificial intelligence research with scientific testing, design practice, and meta-rational choice of methods and criteria
2680
Multi-Agentic Software Development Is a Distributed Systems Problem
Recently, I've been thinking a lot about scaffolding and languages for managing systems of LLMs coordinating with each other — new programming languages might be the ideal solution for this area.
2681
Whistleblower: Huawei cloned Qwen and DeepSeek models, claimed as own
A now-deleted report by HonestAGI on GitHub showed a high number of similarities between Huawei’s Pangu and Qwen 2.5.
2682
The Generative Burrito Test
A critical benchmark for image generation models: A partially eaten burrito with cheese, sour cream, guacamole, lettuce, salsa, pinto beans, and chicken.
2683
Thoughts on ML Engineering After a Year of My PhD
My personal website
2684
A way to deal with enormous branching factors in strategy games
When you play Chess, there are on average something like 30 different moves you can make each turn. In other words, the branching factor is ...
2685
Neurons Gone Wild
To reject gods and spirits is easy: just bully them away in the name of science.
2686
2687
Autoencoding Blade Runner: reconstructing films with artificial neural networks
Reconstructing films with artificial neural networks
2688
Manipulating Chess-GPT's World Model
Manipulating Chess-GPT’s World Model
2689
Revisiting Minsky's Society of Mind in 2025
AI Agents, Modularity, and Alignment
2690
Maximum likelihood estimation and loss functions
When I started learning about loss functions, I could always understand the intuition behind them. For example, the mean squared error (MSE) for regression seemed logical—penalizing large deviations from the ground-truth makes sense. But one thing always bothered me: I could never come up with those loss functions on…
2691
An Adversarial Review of “Adversarial Generation of Natural Language”
Or, for fucks sake, DL people, leave language alone and stop saying you solve it.
2692
2693
Learning to solve hard problems in RL for LLMs by never giving up
This is a blog post for my recent paper on RL post-training of LLMs: introducing the Matthew Effect and proposing to solve it with Never Give Up. It is presented interactively and less formally, more like how I give the talk. For a deeper, more technical dive, check out the paper on arxiv and code on github. The…
2694
2695
Dario Amodei – "We are near the end of the exponential" [video]
"That's why I'm sending this message of urgency"
2696
Why collision avoidance is harder for an AI-based system
Recent incident where Uber car was involved in an accident where a cyclist got killed has sparked many comments and opinions. Many blame…
2697
Evaluating LLMs playing text adventures
When we first set up the llm such that it could play text adventures , we noted that none of the models we tried to use with it were any good at it. We dreamed of a way to compare them, but all I could think of was setting a goal far into the game and seeing how long it takes them to get there. I just realised there’s…
2698
A quick and sobering guide to cloning yourself
It took me a few minutes to create a fake me giving a fake lecture.
2699
Low-poly image generation using evolutionary algorithms in Ruby (2023)
A deep dive into evolutionary algorithms through the lens of low-poly image generation. This exploration covers genetic algorithm theory, custom Ruby implementation using the Petri Dish framework, and detailed analysis of genetic operators including roulette wheel selection, random midpoint crossover, and nudge…
2700