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New
The latest blog posts to take off on Hacker News. 6,331 posts.
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A ChatGPT clone, in 3000 bytes of C, backed by GPT-2 (2023)
This program is a dependency-free implementation of GPT-2, including byte-pair encoding and transformer inference, in ~3000 bytes of C. I then use this to create something like Chat GPT.
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Trillium TPU Is GA
Trillium, Google’s sixth-generation Tensor Processing Unit (TPU) is now GA, delivering enhanced performance and cost-effectiveness for AI workloads.
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Gemini 2.0: our new AI model for the agentic era
Today, we’re announcing Gemini 2.0, our most capable AI model yet.
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The case against Google's claims of "quantum supremacy"
The 2019 paper “Quantum supremacy using a programmable superconducting processor” asserted that Google’s Sycamore quantum computer, with 53 qubits and a depth of 20, performed a specific computat…
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Devin is now generally available
The work Devin has been doing and how your team can start using Devin today.
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AI model for near-instant image creation on consumer-grade hardware
The University of Surrey unveils NitroFusion, an open-source AI model for near-instant image generation on a single consumer-grade GPU.
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The Google Willow Thing
Yesterday I arrived in Santa Clara for the Q2B (Quantum 2 Business) conference, which starts this morning, and where I’ll be speaking Thursday on “Quantum Algorithms in 2024: How Should…
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Sora is here
Our video generation model, Sora, is now available to use at sora.com. Users can generate videos up to 1080p resolution, up to 20 sec long, and in widescreen, vertical or square aspect ratios. You can bring your own assets to extend, remix, and blend, or generate entirely new content from text.
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Task-specific LLM evals that do and don't work
Evals for classification, summarization, translation, copyright regurgitation, and toxicity.
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Structured Outputs with Ollama
Ollama now supports structured outputs making it possible to constrain a model's output to a specific format defined by a JSON schema. The Ollama Python and JavaScript libraries have been updated to support structured outputs.
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Arc Prize 2024 Winners and Technical Report
Official winners and technical report.
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The 70% problem: Hard truths about AI-assisted coding
A field guide and why we need to rethink our expectations
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ChatGPT Pro
Broadening usage of frontier AI
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OpenAI o1 system card
This report outlines the safety work carried out prior to releasing OpenAI o1 and o1-mini, including external red teaming and frontier risk evaluations according to our Preparedness Framework.
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PaliGemma 2: Powerful Vision-Language Models, Simple Fine-Tuning
Explore PaliGemma 2, which offers scalable performance with multiple model sizes and resolutions, and is designed as a drop-in replacement for existing PaliGemma users.
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Next stop: Miami
Get ready for a touch of magic in the Magic City. We're excited to announce that Waymo One will be expanding to Miami!
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Bringing K/V context quantisation to Ollama
K/V context cache quantisation has been added to Ollama. This enables significant reductions in VRAM usage, allowing users to realise the potential of expanded context sizes and run larger models at their existing context sizes.
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Genie 2: A large-scale foundation world model
Generating unlimited diverse training environments for future general agents
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AI hallucinations: Why LLMs make things up (and how to fix it)
Nine Technical Strategies for Reducing Hallucination
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Amazon Nova
Amazon Nova foundation models deliver frontier intelligence and industry leading price-performance, with support for text and multimodal intelligence, multimodal fine-tuning, and high-quality images and videos.
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LLM abstraction levels inspired by fish eye lens
We often think of the same information at different levels or abstraction. Here's a simple example:
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Researchers use AI to turn sound recordings into street images
AUSTIN, Texas — Using generative artificial intelligence, a team of researchers at The University of Texas at Austin has converted sounds from audio
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Breaking the 4Chan CAPTCHA
In this blog post, I will talk about my successful experiment in machine learning using TensorFlow to automate solving the 4Chan CAPTCHA.
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An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability
Sparse Autoencoders (SAEs) have recently become popular for interpretability of machine learning models (although sparse dictionary learning has been around since 1997). Machine learning models and LLMs are becoming more powerful and useful, but they are still black boxes, and we don’t understand how they do the…
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QwQ: Alibaba's O1-like reasoning LLM
GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Note: This is the pronunciation of QwQ: /kwju:/ , similar to the word “quill”. What does it mean to think, to question, to understand? These are the deep waters that QwQ (Qwen with Questions) wades into. Like an eternal student of wisdom, it approaches every problem - be it…