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We ran over 600 image generations to compare AI image models
We benchmarked OpenAI gpt-image-1, Google nanoBanana, and Seedream across 600+ real-world photo edits, see latency, cost, and quality by task
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,331 posts.
3182
Ideas in statistics that have powered AI
Andrew Gelman, a statistics professor at Columbia, and Aki Vehtari, a computer science professor at Finland’s Aalto University, recently published a list of the most important statistical ideas in the last 50 years. Here, they break it down in easy-to-understand terms.
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Start building Actions on Google
The Google Assistant brings together all of the technology and smarts we've been building for years, from the Knowledge Graph to Natural Language Processing. To be a truly successful Assistant, it should be able to connect users across the apps and services in their lives. This makes enabling an ecosystem where…
3185
Computers do better than pathologists in predicting lung cancer type, severity
Automating the analysis of slides of lung cancer tissue samples increases the accuracy of tumor classification and patient prognoses, according to a new study.
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The Case for Bayesian Deep Learning
The Case for Bayesian Deep Learning Andrew Gordon Wilson Abstract Bayesian inference is especially compelling for deep neural networks. The key distinguishing property of a Bayesian approach is margin
3187
CLI tools for working with ChatGPT and other LLMs
I’ve been building out a small suite of command-line tools for working with ChatGPT, GPT-4 and potentially other language models in the future. The three tools I’ve built so far …
3188
Searching for DeepSeek's glitch tokens
A first attempt at identifying and cataloging DeepSeek's glitched tokens
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Smarter Training of Neural Networks
These days, nearly all the artificial intelligence-based products in our lives rely on “deep neural networks” that automatically learn to process labeled data.
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A case for Go as the best language for AI agents
Pull up your agents folks, I'll convince you why Go is the best language for them.
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I announced my divorce on Instagram and then AI impersonated me
After maintaining a total stance of public silence for months, I recently publicly announced my unexpected divorce on Instagram. I shared a picture of the divorce cake that my friends got for me, and shared a brief essay I had drafted the day before about the news. I had to edit it down slightly from my original draft…
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The unbearable cheapness of open weight models
Today I was setting up Hermes to see how it does with web research. I chose DeepSeek V4 because I know it is cheap, but seeing it’s pricing next to Anthropic and OpenAI ‘frontier’ models is crazy. Nearly a 50x price increase based on tokens alone, let alone how much pondering any of their models might fall into (using…
3195
People are just as bad as my LLMs
Last year I created a fun little experiment where I asked a bunch of LLMs to rank 97 hackernews users using their comment history based on whether they would be good candidates for the role of “software engineer at google”. (yes yes, seems silly I know, you can read part 1 and part 2 but […]
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2% of ICML papers desk rejected because the authors used LLM in their reviews
By ICML 2026 Program Chairs Alekh Agarwal, Miroslav Dudik, Sharon Li, Martin Jaggi, Scientific Integrity Chair Nihar B. Shah, and Communications Chairs Katherine Gorman and Gautam Kamath.
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The AI Scientist: Towards Automated Open-Ended Scientific Discovery
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
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Improvements to data analysis in ChatGPT
Improvements to data analysis in ChatGPT Interact with tables and charts and add files directly from Google Drive and Microsoft OneDrive.
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Confession of a so-called AI expert
[Twitter thread, Hacker News discussion, Le Monde]
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The Decoherence Trap
Of all the forms of tech debt, decoherence is the worst. It compounds exponentially with a system's rate of change, and AI is now producing it faster than ever, leading us deeper and deeper into the abyss...
3202
AI and Trust
I trusted a lot today. I trusted my phone to wake me on time. I trusted Uber to arrange a taxi for me, and the driver to get me to the airport safely. I trusted thousands of other drivers on the road not to ram my car on the way. At the airport, I trusted ticket agents and maintenance engineers and everyone else who…
3203
Rethinking CLI interfaces for AI
We need to augment our command line tools and design APIs so they can be better used by LLM Agents. The designs are inadequate for LLMs as they are now – especially if you're constrained by the tiny context windows available with local models.
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Testing Intel’s Arc A770 GPU for Deep Learning
This post covers my experience training image classification models with Intel’s PyTorch extension on the Arc A770 GPU.
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Recovering redacted information from pixelated videos
We explore the history of image unblurring and present a simple yet effective technique to get a high-resolution image from a pixelated video in order to recover redacted information (with no guessing involved).
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What Kagglers Are Using for Text Classification
With the problem of Image Classification is more or less solved by Deep learning, Text Classification is the next new developing theme in deep learning. For those who don’t know, Text classification is a common task in natural language processing, which transforms a sequence of text of indefinite length into a…
3208
Solving some formal math olympiad problems
We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems, including problems from the AMC12 and AIME competitions, as well as two problems adapted from the IMO.
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Game theory as an engine for large-scale data analysis
Modern AI systems approach tasks like recognising objects in images and predicting the 3D structure of proteins as a diligent student would prepare for an exam. By training on many example problems, they minimise their mistakes over time until they achieve success. But this is a solitary endeavour and only one of the…
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Vote on which of Hacker News' challenges for AI have been met
AI plays well at complex strategy games with uncertainty and incomplete information.