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Watching o3 model sweat over a Paul Morphy mate-in-2
A breakdown of how an AI model attempts to solve a complex chess puzzle, showcasing its human-like reasoning, problem-solving attempts, and eventual reliance on external information.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,335 posts.
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Quick takes on the recent OpenAI public incident write-up
OpenAI recently published a public writeup for an incident they had on December 11, and there are lots of good details in here! Here are some of my off-the-cuff observations: Saturation With thousa…
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OpenAI's comment to the NTIA on open model weights
OpenAI’s comment to the NTIA on open model weights This comment was submitted by OpenAI in response to NTIA’s March 2024 Request for Information on Dual-Use Foundation Models with Widely Available Weights.
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Why I'm declining your AI generated MR
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:
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Chaining FFmpeg with a Browser Agent
Discover how we embedded FFmpeg inside a browser agent to process videos instantly, no servers, APIs, or uploads. Watch how it all comes together.
5886
Empiricism and the limits of gradient descent
This post is actually about artificial intelligence, and argues a position that many AI researchers will disagree with. Specifically, it arg...
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Dynamic Abliteration: Non-Destructive Refusal Suppression via Engram Steering
Thoughts on technology, life and everything else.
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The idea maze for AI startups (2015)
programming, philosophy, history, internet, startups
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Reliable Software in the LLM Era
Quint - Executable specs for reliable systems
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PredictionIO – open source machine learning for predictive features
PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. Building a production-grade engine to predict users’ preferences ...
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AI-Implanted False Memories
We present three interconnected studies examining how artificial intelligence technologies can induce and amplify false memories in human subjects. Our re…
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Mapping the World of Music Using Machine Learning: Part 1
In June 2016 Ravi Mody and Tim Schmeier gave a presentation at the NYC Machine Learning meetup to discuss their work on the data science…
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RAISR Sharp Images with Machine Learning
Posted by Peyman Milanfar, Research Scientist Everyday the web is used to share and store millions of pictures, enabling one to explore the world, ...
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The Full Story of Large Language Models and RLHF
Large Language Models have been in the limelight since the release of ChatGPT, with new models being announced seemingly every week. This guide walks through the essential ideas of how these models came to be.
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Fossabot: AI code review for Dependabot/Renovate on breaking changes and impacts
Announcing fossabot, a new AI Agent for making strategic dependency updates, backed by a comprehensive accuracy, consistency, and correctness framework.
5897
ML in Go with a Python Sidecar
Machine learning models are rapidly becoming more capable; how can we make use of these powerful new tools in our Go applications?
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Understanding “Deep Double Descent”
Double descent is a puzzling phenomenon in machine learning where increasing model size/training time/data can initially hurt performance, but then i…
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Building a Real-Time Recommendation Engine
Learn how to build a real-time recommendation engine powered by social, similarity and cluster factors, all leveraging the power of advanced data science.
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The Wolfram Prompt Repository (2023)
Curated collection of prompts for use with LLMs. Accessible interactively in Chat Notebooks and programmatically in functions like LLMFunction. Initial categories in the Prompt Repository cover personas, functions, modifiers.
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A DSL for peephole transformation rules of integer operations in the PyPy JIT
As is probably apparent from the sequence of blog posts about the topic in the last year, I have been thinking about and working on integer optimizations in the JIT compiler a lot. This work was mainl
5903
Information Theory with TensorFlow
Redirecting to https://www.mukeshmithrakumar.com/blog/deep-learning-with-tf2-probability-and-information-theory/ .
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AlphaGo: Mastering the Ancient Game of Go with Machine Learning
Posted by David Silver and Demis Hassabis, Google DeepMindGames are a great testing ground for developing smarter, more flexible algorithms that ha...
5908
The Next Leap in Self-Driving: Prediction
Why prediction has overtaken perception as the biggest challenge in the field.
5909
Writing with LLM is not a shame
Do we have to disclaim how we use AI ?
5910
Silicon Valley is in denial in face of widespread backlash
The backlash against data centers is difficult to understand if your salary depends on your not understanding it.