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Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,334 posts.
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Microsoft demos breakthrough in real-time translated conversations
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The M×N problem of tool calling and open-source models
Tool calling with closed-source models is seamless. You pass a list of functions to the API, the model calls them, you get structured JSON back.
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Differentiable Programming – A Simple Introduction
What is Differentiable Programming, and how is it different from Deep Learning? Check out this introduction to learn everything you need to know!
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The future of programming: Research at CHI 2023
Research on programming tools published at CHI 2023.
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Writing Speed-of-Light Flash Attention for 5090 in CUDA C++
In this post, I will walk through how I learned to implement Flash Attention for 5090 in CUDA C++. The main objective is to learn writing attention in CUDA C++, since many features are not available in Triton, such as MXFP8 / NVFP4 MMA for sm120. I also feel this is a natural next step after learning about matmul…
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Letting neural networks be weird
Machine learning algorithms are not like other computer programs. In the usual sort of programming, a human programmer tells the computer exactly what to do. In machine learning, the human programmer merely gives the algorithm the problem to be solved, and through trial-and-error the algorithm has to figure out how to…
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Implementing neural networks on the "3 cent" 8-bit microcontroller
Bouyed by the surprisingly good performance of neural networks with quantization aware training on the CH32V003, I wondered how far this can be pushed. How much can we compress a neural network whi…
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L2 Regularization and Batch Norm
This blog post is about an interesting detail about machine learning that I came across as a researcher at Jane Street - that of the interaction between L2 r...
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Why your brain is 3 milion more times efficient than GPT-4
Wild ramblings, raport from the field about choosing Vector Database for a particular project and a little bit of a rant about the current state of AI and how it's perceived, why human brains are a wonder of nature, and why it's far from 'thinking' and 'consciousness'.
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AI Is Dehumanization Technology
A call to reject the deployment and use of AI systems in Canada's public sector.
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Real name policies and ruling the world
Launch your business with WordPress or Website Builder using AI tools, templates, and reliable hosting.
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Looming Liability Machines (LLMs)
As part of our zoom reading group ( wow, 4.5 years old now ), we discussed a paper that uses LLMs for automatic root cause analysis (RCA) fo...
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P(doom)
Are we all going to die?
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Claude Code Unleashed
ymichael's personal site
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Poison everywhere: No output from your MCP server is safe
Protect your organization with Idira®. Modernize identity governance, automate access reviews, and secure every identity across your hybrid cloud environment.
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Stable Diffusion on AMD RDNA3
A AMD oferece soluções de computação adaptativa e de alto desempenho de liderança para promover IA de data center, PCs com IA, dispositivos de borda inteligentes, jogos e muito mais.
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Artificial Analysis Intelligence Index v4.2
We are accelerating elements of our upcoming v5 release with interim updates to keep pace with the frontier. Index v4.2 has more complex and realistic tasks, and more private test sets to prevent gaming
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Now open for building: Introducing Gemini CLI extensions
Make Gemini CLI uniquely yours by connecting it to your everyday workflows and the tools you use most.
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Reformer, the Efficient Transformer
Posted by Nikita Kitaev, Student Researcher, UC Berkeley and Łukasz Kaiser, Research Scientist, Google Research Understanding sequential data — s...
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Understanding and coding the self-attention mechanism of large language models
Step-by-step tutorial explaining scaled dot-product self-attention for large language models, with Python code that builds the mechanism from scratch.
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My Experience and Advice for Using GPUs in Deep Learning: Which GPU to get
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
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Machine Learning Cheat Sheet (for scikit-learn)
As you hopefully have heard, we at scikit-learn are doing a user survey (which is still open by the way). One of the requests there was t...
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