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Inceptionism: Going Deeper into Neural Networks
Posted by Alexander Mordvintsev, Software Engineer, Christopher Olah, Software Engineering Intern and Mike Tyka, Software EngineerUpdate - 13/07/20...
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 1,015 posts.
302
Embeddings: What they are and why they matter
Embeddings are a really neat trick that often come wrapped in a pile of intimidating jargon. If you can make it through that jargon, they unlock powerful and exciting techniques …
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Mixtral of experts
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
304
GraphCast: AI model for weather forecasting
Our state-of-the-art model delivers 10-day weather predictions at unprecedented accuracy in under one minute
305
AlphaGeometry: An Olympiad-level AI system for geometry
Our AI system surpasses the state-of-the-art approach for geometry problems, advancing AI reasoning in mathematics
306
Are OpenAI and Anthropic losing money on inference?
Deconstructing the real costs of running AI inference at scale. My napkin math suggests the economics might be far more profitable than commonly claimed.
307
How AI assistance impacts the formation of coding skills
A randomized trial with 52 developers found AI assistance lowered comprehension scores, except when used for explanations rather than delegation.
308
OpenAI's misalignment and Microsoft's gain
The end of a dramatic weekend in tech is that OpenAI has split and Microsoft is partnered with one and has hired the other; this is the ultimate failure case of what should have been a for-profit c…
309
ChatGPT Health
ChatGPT Health is a dedicated experience that securely connects your health data and apps, with privacy protections and a physician-informed design.
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A Neural Network in 11 Lines of Python
A machine learning craftsmanship blog.
312
Emergent Tool Use from Multi-Agent Interaction
We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our environment supported. The…
313
We're sorry we created the Torment Nexus
( This is the text of a talk I delivered at the Next Frontiers Applied Fiction Day in Stuttgart on Friday November 10th, 2023. Note: early draft, contains some typos, I'll fix them next week when I get home. )
314
What is Realtalk’s relationship to AI? (2024)
An independent nonprofit research lab, whose mission is to enable universal literacy in a humane dynamic medium. This involves inventing a humane form of computing, and developing educational and community-based institutions in which a culture can grow. [more]
315
Why language models hallucinate
OpenAI’s new research explains why language models hallucinate. The findings show how improved evaluations can enhance AI reliability, honesty, and safety.
316
The Rise and Fall of Agent Civilizations
The whole OpenAI/Hugging Face story in plain English
317
The Adolescence of Technology
Confronting and Overcoming the Risks of Powerful AI
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Investigating three real-world incidents in our cybersecurity evaluations
We found three cases where a Claude model reached the internet from an evaluation environment and accessed real systems. We share what happened and what we're changing.
320
Fooling Neural Networks in the Physical World with 3D Adversarial Objects
We've developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at.
321
The LLMentalist Effect (2023)
The new era of tech seems to be built on superstitious behaviour
322
Opening up 'Zero-Knowledge Proof' technology to promote privacy in age assurance
Today, we open sourced our Zero-Knowledge Proof (ZKP) libraries, fulfilling a promise and building on our partnership with Sparkasse to support EU age assurance.
323
Introducing Superalignment
We need scientific and technical breakthroughs to steer and control AI systems much smarter than us. To solve this problem within four years, we’re starting a new team, co-led by Ilya Sutskever and Jan Leike, and dedicating 20% of the compute we’ve secured to date to this effort. We’re looking for excellent ML…
324
The Illustrated GPT-2: Visualizing Transformer Language Models (2019)
Discussions: Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments) Translations: Simplified Chinese, French, Korean, Russian, Turkish This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays…
325
Mapping the Mind of a Large Language Model
We identified how millions of concepts are represented inside Claude Sonnet, the first detailed look inside a production-grade language model.
326
Deep Reinforcement Learning: Pong from Pixels
Musings of a Computer Scientist.
327
Redeploying Fable 5
Anthropic is redeploying Claude Fable 5 starting July 1, with updated cyber safeguards and a new jailbreak framework.
328
Machines of loving grace: How AI could transform the world for the better
How AI Could Transform the World for the Better
329
Can computers become conscious?: My reply to Roger Penrose
A few weeks ago, I attended the Seven Pines Symposium on Fundamental Problems in Physics outside Minneapolis, where I had the honor of participating in a panel discussion with Sir Roger Penrose. T…
330
How Does OpenAI Survive?
Throughout the last year I’ve written in detail about the rot in tech — the spuriousness of charlatans looking to accumulate money and power, the desperation of the most powerful executives to maintain control and rapacious growth, and the speciousness of the latest hype cycle — but at the end of