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The most popular blog posts about ai & machine learning on Hacker News. 6,334 posts.
There is an implicit contract at the foundation of every database architecture decision you have ever made. You probably never wrote it down. Nobody does. It just… existed.
MT-NLG has 3x the number of parameters compared to the existing largest model of this type and demonstrates unmatched accuracy in a broad set of natural language tasks.
Everybody get up, it's time to slam now, we got a real jam goin down
New revenue benchmarks for gen AI startups in year one, based on dozens of enterprise and consumer AI companies we’ve spent significant time with.
While Claude Code and Codex have significantly accelerated the automation of software development, limitations in the context window of a…
When the world's richest man can simply 'correct' an AI to reflect his own values, what does that tell us about the entire alignment discourse?
c’mon, try doing a breakthrough
AI built for autonomy crowds people out, making us passive observers of what’s coming. We’re building toward a different future.
Dr Robert Smith is a technologist, complexity scientist, entrepreneur, writer and sought-after public speaker. He is an artificial intelligence (A.I.) expert and has worked with clients, companies and institutions across the private and public sectors. Having grown up in Alabama at the height of the Civil Rights…
An end-to-end engineering practice for the MiMo-V2.5 series inference system, covering KVCache management, tiered caching, SWA-aware prefix cache trees, scheduling, Prefill/Decode pipelines, and multimodal optimizations.
Persistent agent memory on Elasticsearch: three-index architecture, hybrid retrieval, supersession and DLS isolation. R@10 0.89, zero cross-tenant leaks.
Using machine learning to combat dirty link profiles can save hours of time and countless dollars spent on hand-checking web pages. In today's post, Ian Lurie walks us through a tale of successfully implementing machine learning, one step at a time.
How the veneer of AI is used to legitimize awful ideas
LLMs make good classifiers but even better features
Check out our deep dive on the latest meta prompting methods, like DSPy and TEXTGRAD, and the best prompt generator tools out there.
Our mission is to train a neural network to model all human output.
By Lindsay Brownell At first glance, the lab of Wyss Associate Faculty member Mike Levin looks like any standard biology lab: graduate students in white lab coats pipette liquids into tubes at benches surrounded by centrifuges, freezers, racks of graduated cylinders hanging over sinks, and shelves of petri dishes…
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A Go implementation of a perceptron as the building block of neural networks and as the most basic form of pattern recognition and machine learning.
Clojure Fast Matrix Library - GPU and native CPU
In tackling machine learning (and computer science in general) we face some deep philosophical questions. Questions like, “What does it mean to learn?” and, “Can a computer learn?” and, “How do you define simplicity?” and, “Why does Occam’s Razor work? (Why do simple hypotheses do well at modelling reality?)” In a…
