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Questions censored by DeepSeek
Analysis of DeepSeek-R1 censorship using 1,156 political prompts exposing CCP content filtering and bias detection patterns
New
The latest blog posts to take off on Hacker News. 1,227 posts.
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How has DeepSeek improved the Transformer architecture?
This Gradient Updates issue goes over the major changes that went into DeepSeek's most recent model.
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Qwen2.5-Max: Exploring the intelligence of large-scale MoE model
QWEN CHAT API DEMO DISCORD It is widely recognized that continuously scaling both data size and model size can lead to significant improvements in model intelligence. However, the research and industry community has limited experience in effectively scaling extremely large models, whether they are dense or…
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Promising results from DeepSeek R1 for code
PR by Xuan-Son Nguyen for llama.cpp: This PR provides a big jump in speed for WASM by leveraging SIMD instructions for qX_K_q8_K and qX_0_q8_0 dot product functions. Surprisingly, 99% of …
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Run DeepSeek R1 Dynamic 1.58-bit
DeepSeek R-1 is the most powerful open-source reasoning model that performs on par with OpenAI's o1 model. Run the 1.58-bit Dynamic GGUF version by Unsloth.
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Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
I break down the logic behind the company's towering price tag and why I think the most valuable AI companies have yet to be built.
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I trusted an LLM, now I'm on day 4 of an afternoon project
A quick project spiraled into a marathon of AI missteps, hardware headaches, and hard-earned lessons. Welcome to the story of Deskthang.
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The Illustrated DeepSeek-R1
A recipe for reasoning LLMs
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Qwen2.5-1M: Deploy your own Qwen with context length up to 1M tokens
Tech Report HuggingFace ModelScope Qwen Chat HuggingFace Demo ModelScope Demo DISCORD Introduction Two months after upgrading Qwen2.5-Turbo to support context length up to one million tokens, we are back with the open-source Qwen2.5-1M models and the corresponding inference framework support. Here’s what you can…
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When AI promises speed but delivers debugging hell
Lessons learned from building Codescribble with a little help (and a lot of frustration) from an AI
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Using AI for Coding: My Journey with Cline and LLMs
How I leveraged AI tools like Cline to enhance the UI/UX of a website and streamline backend tasks. From redesigning pages and translating content to navigating the benefits and challenges of AI-assisted development, this blog post highlights the potential of using large language models to boost productivity while…
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Explainer: What's r1 and everything else?
Principal AI Architect. Creator of open-strix, a harness for building agent teams. Writing about AI architecture, stateful agents, and what happens when you give AI memory.
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AI slop, suspicion, and writing back
On developing an involuntary reflex for spotting AI slop
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Emerging reasoning with reinforcement learning
Made in Notion, the connected workspace where AI agents and teams organize docs, projects and knowledge together.
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Searching for DeepSeek's glitch tokens
A first attempt at identifying and cataloging DeepSeek's glitched tokens
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The impact of competition and DeepSeek on Nvidia
All the reasons why Nvidia will have a very hard time living up to the currently lofty expectations of the market.
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AI isn't going to kill the software industry
I feel like half of my social media feed is composed of AI grifters saying software developers are not going to make it. Combine that sentiment with some economic headwinds and it's easy to feel like we're all screwed. I think that's bullshit. The best days of our industry lie ahead.
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Citations on the Anthropic API
Claude can now cite specific passages from your documents, delivering verifiable responses with built-in source tracking. Update: Now available in Amazon Bedrock. (June 30, 2025) Today, we're launching Citations, a new API feature that lets Claude ground its answers in source documents.
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Operator research preview
A research preview of an agent that can use its own browser to perform tasks for you. Available to Pro users in the U.S.
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Results of "Humanity's Last Exam" benchmark published
Scale AI and the Center for AI Safety (CAIS) are proud to publish the results of Humanity’s Last Exam.
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An overview of gradient descent optimization algorithms (2016)
Gradient descent is the preferred way to optimize neural networks and many other machine learning algorithms but is often used as a black box. This post explores how many of the most popular gradient-based optimization algorithms such as Momentum, Adagrad, and Adam actually work.
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Using generative AI as part of historical research: three case studies
... in specific domains. Three case studies with GPT-4o, o1, and Claude Sonnet 3.5, and what they mean
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Coping with dumb LLMs using classic ML
Taking the output of many dumb LLM search relevance judges and feeding the output to a decision tree to improve precision
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OpenAI's o1 Playing Codenames
I got OpenAI's o1 to play codenames and the results were surprisingly good
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Should we use AI and LLMs for Christian apologetics? (2024)
The reasons why I don’t give permission for material I’ve written to be used as training data for an LLM chatbot designed to do Christian apologetics
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Minecraft with object impermanence
I generally am uninterested in generative AI that's too close to the real thing. But every once in a while there's a modern AI thing that's so glitchy and broken that it's strangely compelling. There's this generative AI knockoff of Minecraft that fails so hard
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Using ChatGPT is not bad for the environment
And a plea to think seriously about climate change without getting distracted
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Thoughts on a month with Devin
Our impressions of Devin after giving it 20+ tasks.
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Let's talk about AI and end-to-end encryption
Recently I came across a fantastic new paper by a group of NYU and Cornell researchers entitled “How to think about end-to-end encryption and AI.” I’m extremely grateful to see th…