961
Now add a walrus: Prompt engineering in DALL-E 3
Last year I wrote about my initial experiments with DALL-E 2, OpenAI’s image generation model. I’ve been having an absurd amount of fun playing with its sequel, DALL-E 3 recently. …
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,091 posts.
962
Specsmaxxing – On overcoming AI psychosis, and why I write specs in YAML
The toolkit for spec-driven development. Write feature specs, not prompts. Ship better software with AI agents that understand your requirements.
963
How AI conquered the US economy: A visual FAQ
Artificial intelligence is the biggest tech construction project in a century. Here's what that looks like.
964
Cyc: History's Forgotten AI Project
Since 1984 a secretive AI project has been building a massive knowledge base to enable human-like reasoning. Will it work?
965
Chomsky on what ChatGPT is good for (2023)
The Noam Chomsky Website.
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Reddit is OpenAI’s moat
Interpreting Reddit's API changes in light of how it serves OpenAI.
967
Why agents are bad pair programmers
LLM agents make bad pairs because they code faster than humans think. I'll admit, I've had a lot of fun using GitHub Copilot's agent mode in VS Code this month.…
968
GPT-2: Too Dangerous To Release (2019)
GPT-2 is a direct scale-up of GPT-1 , with more parameters and trained on more data. However, it was deemed too dangerous to release by OpenAI:
969
Deep Neural Nets: 33 years ago and 33 years from now (2022)
Musings of a Computer Scientist.
970
A practical guide to AI image generation, from diffusion to agents
Welcome to the digital home of Daniel Ball. Explore my portfolio to see the projects I’ve worked on and learn more about my professional journey.
971
Is my cat Turing-complete?
This article is an adaptation of a Lightning Talk I gave at CppCon2021. Link here : https://www.youtube.com/watch?v=RtqTGSOdmBo
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LLM Powered Autonomous Agents
Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a…
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Parsing English with 500 lines of Python (2013)
A syntactic parser describes a sentence’s grammatical structure, to help another application reason about it. Natural languages introduce many unexpected ambiguities, which our world-knowledg…
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Nvidia announces Jetson Nano 2GB, a single board computer
Using Python 3.6, OpenCV, Dlib and the face_recognition module
978
Designing agentic loops
Coding agents like Anthropic’s Claude Code and OpenAI’s Codex CLI represent a genuine step change in how useful LLMs can be for producing working code. These agents can now directly …
979
I'm scared about biological computing
I’ve been in the AI space since ChatGPT first dropped. I’ve toyed around with a lot of Language Models, built random side projects, built a couple from scratch and I’ve spent hours looking at the math behind it all.
980
Detecting when LLMs are uncertain
A deep dive into a new reasoning technique called Entropix.
981
AI assisted search-based research works now
For the past two and a half years the feature I’ve most wanted from LLMs is the ability to take on search-based research tasks on my behalf. We saw the …
982
Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
This post is a high-level explainer for my Master’s thesis, which involves designing hardware architectures for ultrafast inference and online learning using the Kolmogorov-Arnold Network (KAN) architecture. I’ll assume familiarity with standard machine learning concepts, as well as some understanding of hardware and…
983
Consciousness is not computation
Spend enough time in the tech world and you will sooner or later find that itis a common article of faith that comput...
984
In 2025, venture capital can't pretend everything is fine any more
Venture capital is screwed. A bubble in AI is their last hope, and they’re betting everything on Sam Altman. It’s heartwarming. Today, we have the Pitchbook-NVCA Venture Monitor for Q1 2025. This i…
985
Artificial General Intelligence – A gentle introduction
[On-line document since 2007, last updated in September 2026] [Translations: 中文 , Español , lietuvių kalba ]
986
LLM function calls don't scale; code orchestration is simpler, more effective
TL;DR: Giving LLMs the full output of tool calls is costly and slow. Output schemas will enable us to get structured data, so we can let the LLM orchestrate ...
987
A Zero-Math Introduction to Markov Chain Monte Carlo Methods
For many of us, Bayesian statistics is voodoo magic at best, or completely subjective nonsense at worst. Among the trademarks of the…
988
Face recognition in images and video with Python
Learn how to perform face recognition using OpenCV, Python, and dlib by applying deep learning for highly accurate facial recognition.
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An Introduction to Recurrent Neural Networks
A simple walkthrough of what RNNs are, how they work, and how to build one from scratch in Python.
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2x, not 10x: coding with LLMs in 2026
Calibrate your enthusiasm