No clicks, no content: The unsustainable future of AI search
AI companies are causing a content drought that will eventually starve them.
The latest blog posts to take off on Hacker News. 1,227 posts.
AI companies are causing a content drought that will eventually starve them.
Fastly’s survey shows senior developers trust gen AI tools enough to ship 2.5x more AI code, while juniors stick to traditional coding and caution.
Andy Bell had heard companies were forcing employees to use AI tools so spoke to developers to determine if that was the case and learned some horrors in the process.
A quick note on the importance of reading the terms of service!
Neural networks are more useful when placed in a suitable, specialized environment.
From Multi-Head to Latent Attention: The Evolution of Attention Mechanisms What is attention? In any autoregressive model, the prediction of the future tokens is based on some preceding context …
SynthID is a tool to watermark and identify AI-generated content, helping to foster transparency and trust in generative AI.
DeepSeek is a popular open-source large language model (LLM) praised for its strong performance. However, its large size and unique architecture, which uses Multi-head Latent Attention (MLA) and Mixture of Experts (MoE), require an advanced system for efficient serving at scale.
I didn't misclick any buttons. My best wasn't good enough. I'm not good enough.
We're thrilled to introduce grok-code-fast-1, a speedy and economical reasoning model that excels at agentic coding.
Since I love collecting questionable analogies for LLMs, here's a new one I just came up with: an LLM is a lossy encyclopedia. They have a huge array of facts …
Together, the Bitter Lesson and Scaling Laws reveal that the god of Compute we worship is yoked to an even greater one — the god of Data.
a short post
How to build a CLI coding agent
Learning to Think Again, and the Cost of AI Dependency.
Discover the process of transforming an ASCII game into real-time AI-rendered graphics with fal.ai
Generative Adversarial Networks refer to a family of generative models that seek to discover the underlying distribution behind a certain data generating process. This distribution is discovered through an adversarial competition between a generator and a discriminator. As we saw in an earlier introductory post on…
A reference guide to fundamental machine learning equations with correct implementations and clear explanations of how they connect to each other.
Deconstructing the real costs of running AI inference at scale. My napkin math suggests the economics might be far more profitable than commonly claimed.
Within five days of ChatGPT’s release in 2022, the artificial intelligence chatbot gained more than a million users. Today, more than half of all adults
I am an AI hater. This is considered rude, but I do not care, because I am a hater.
From the Zed Blog: Zed now lets you use the agent of your choice through the new Agent Client Protocol, starting with Google's Gemini CLI.
AI coding has made me much more productive—but at a strange cost. I can't listen to music when I code anymore.
Sometimes a merge request (MR) doesn't merit a code review (CR) because AI was used in a bad way that harms the team or the project. For example:
We're piloting Claude in Chrome to test browser-based AI capabilities while addressing prompt injection risks and building the safety measures needed before wider release.
Folie a deux ex machina
Explore Gemini 2.5 Flash Image, a powerful new image generation and editing model with advanced features and creative control.
Will Smith is being accused of generating fake fans with AI, but it's complicated: the crowds are real, but the videos were manipulated by Smith's team and YouTube itself.
We Put Agentic AI Browsers to the Test - They Clicked, They Paid, They Failed