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MiniMax M2.5 released: 80.2% in SWE-bench Verified
MiniMax M2.5: Built for Real-World Productivity.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,325 posts.
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How to Train an AI Image Model on Yourself
It takes less than an hour and $3.
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Subliminal learning: Models transmit behaviors via hidden signals in data
We study subliminal learning , a surprising phenomenon where language models learn traits from model-generated data that is semantically unrelated to those traits. For example, a "student" model learns to prefer owls when trained on sequences of numbers generated by a "teacher" model that prefers owls. This same…
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A Tour of Machine Learning Algorithms
Tour of Machine Learning Algorithms: Learn all about the most popular machine learning algorithms.
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DiffEqFlux.jl – A Julia Library for Neural Differential Equations
DiffEqFlux.jl – A Julia Library for Neural Differential Equations...
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Shall we play a game? My AI nuclear simulation
My AI nuclear simulation is out now, and it's a WOPR.
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Responding to the next frontier of critical cyber capabilities
OpenAI is sharing preliminary cybersecurity evaluations for Astra and the steps we’re taking to strengthen safeguards and security controls.
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My spicy take on vibe coding for PMs
I shared this internally at Meta in response to a deluge of clout-chasing posts celebrating PMs landing prod diffs. The response was positive and the message generalizes, so here we are on the open www. PMs shouldn’t waste time landing … Continue reading →
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AI is impressive because we've failed at personal computing
AI is impressive because we’ve failed at semantic web and personal computing | exotext
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Google's AI doesn't understand restaurant menus
In the glorious future, every website will be chock-full of semantic metadata. Restaurants won't have a 50MB PDF explaining the chef's vision for organic cuisine - instead, they'll have little scraps of data on the HTML page like: Copied JSON to 📋⧉ JSON"hasMenuItem":{ "@type":"MenuItem", "name":"Dodo In A Bun"…
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Lessons from Creating a VSCode Extension with GPT-4
Lately, I've been playing around with LLMs to write code.
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Notion AI: Unpatched data exfiltration
Notion AI was susceptible to data exfiltration via indirect prompt injection due to a vulnerability in which AI document edits are saved before user approval.
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TorchTPU: Running PyTorch Natively on TPUs at Google Scale
Discover TorchTPU, Google’s new engineering stack designed to run PyTorch natively on TPU infrastructure with peak efficiency. Learn how its "Eager First" philosophy and XLA integration simplify model migration while unlocking massive scalability for the next generation of AI.
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An Introduction to Deep Learning for Language Modeling
Language models assign probability values to sequences of words. Those three words that appear right above your keyboard on your phone that try to predict the next word you’ll type are one of the uses of language modeling. In the case shown below, the language model is predicting that “from”, “on” and “it” have a high…
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Most AI value will come from broad automation, not from R & D
AI's biggest impact will come from broad labor automation—not R&D—driving economic growth through scale, not scientific breakthroughs.
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I'm an Old Fart and AI Makes Me Sad
Previous major advancements in Computer Science and its applications always felt empowering to me, AI feels different.
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The new calculus of AI-based coding
A collection of posts by Joe Magerramov
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How Google built its Gemini robotics models
Robots powered by Gemini Robotics models can learn complex actions like preparing salads and even folding an origami fox.
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New antibiotic targets IBD and AI predicted how it would work
[...]Read More...
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Fuyu-8B: A multimodal architecture for AI agents
We’re open-sourcing Fuyu-8B - a small version of the multimodal model that powers our product.
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How we index images for RAG
Reading the screenshots, diagrams and tables in technical documentation for LLMs
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Building games through natural language using OpenAI’s code-DaVinci model
TL;DR: OpenAI has a new code generating model that’s improved in a number of ways and can handle nearly two times as much text (4,000 tokens.) I built several small games and applications without t…
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The Companies Cutting Headcount for AI Will Lose to the Ones Who Didn't
Organisations using AI to cut headcount are making a short-term trade with long-term consequences. The ones holding their teams together and investing in how those teams operate with AI are building something more durable.
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Scamlexity: When agentic AI browsers get scammed
We Put Agentic AI Browsers to the Test - They Clicked, They Paid, They Failed
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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
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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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