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Reddit is OpenAI’s moat
Interpreting Reddit's API changes in light of how it serves OpenAI.
New
The latest blog posts to take off on Hacker News. 789 posts.
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Function calling and other API updates
We’re announcing updates including more steerable API models, function calling capabilities, longer context, and lower prices.
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Obsidian-Copilot: A Prototype Assistant for Writing and Thinking
Writing drafts via retrieval-augmented generation. Also reflecting on the week's journal entries.
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Oyster: Towards Unsupervised Object Detection from Lidar Point Clouds
Transform your supply chain with Waabi’s AI-first autonomous trucking solution. Scale freight operations, improve safety, and boost efficiency. Learn more.
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SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds
Text-to-image diffusion models can create stunning images from natural language descriptions that rival the work of professional artists and photographers. However, these models are large, with complex network architectures and tens of denoising iterations, making them computationally expensive and slow to run. As a…
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The AI Hype Wall of Shame
Menu Home Editorial Collective Events Blog The AI Hype Report Design Justice AI Design Justice Labs The AI Hype Report Welcome to the AI HypeContinue reading
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Licensing is neither feasible nor effective for addressing AI risks
Non-proliferation only benefits incumbents
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LLMs are good at playing you
Large language models seem just like humans, but some of this is in our heads.
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Chat Notebooks
Wolfram expands Notebooks, integrating LLM functionality into the new chat cell and Chat Notebook. Stephen Wolfram explains how chat-enabled and chat-driven versions work.
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Why Do ML on the Erlang VM?
Another question might be; why do machine learning at all? I'm not big into ML/AI though I've been poking it more recently as the open models, such as Stable Diffusion and the more practical Whisper, caught my curiosity. I have a very decent GPU (3090 Ti) and I've poked around a bit. I don't consider ML a super…
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Understanding GPT tokenizers
Large language models such as GPT-3/4, LLaMA and PaLM work in terms of tokens. They take text, convert it into tokens (integers), then predict which tokens should come next. Playing …
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AI browser extensions are a security nightmare
AI-powered browser extensions come with alarming security risks, but most companies still don't have policies for how their employees can use them.
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Vivaldi on Android bypasses restrictions to let users access Bing Chat
The new version of Vivaldi on Android, tablets, and Chromebooks masquerades as competitors to benefit its users and lets users access Bing Chat.
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Bard is getting better at logic and reasoning
Two improvements are launching in Bard to help you get more accurate responses and export to Google Sheets.
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Is AI killing the stock photo industry? A data perspective
When Stock Performer started in 2010, there were a lot of complaints that the stock industry was dying. The rush of the agencies to implement subscription models, triggered mostly by Shutterstock’s success, led to a lot of uncertainty about photographers’ income. After all, customers were able to buy images for mere…
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AI will save the world?
By Marc Andreessen
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Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Neural Radiance Field training can be accelerated through the use of grid-based representations in NeRF's learned mapping from spatial coordinates to colors and volumetric density. However, these grid-based approaches lack an explicit understanding of scale and therefore often introduce aliasing, usually in the form…
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Open-Source Data Collection Platform for LLM Fine-Tuning and RLHF
We are thrilled to introduce Argilla Feedback, completely open-source and designed to enhance the performance, safety and reliability of Large Language Models.
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It’s infuriatingly hard to understand how closed models train on their input
One of the most common concerns I see about large language models regards their training data. People are worried that anything they say to ChatGPT could be memorized by it …
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The death of self-driving cars is greatly exaggerated
GM’s Cruise aims to turn self-driving into a billion-dollar business.
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OpenAI's plans according to Sam Altman removed at OpenAI's request
Last week I had the privilege to sit down with Sam Altman and 20 other developers to discuss OpenAI’s product plans. Sam was remarkably open. The discussion touched on practical developer issues as well as bigger-picture questions related to OpenAI’s mission and the societal impact of AI. Here are the key takeaways.
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Using Google’s code history to write more code
Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software isn’t created in one dramatic step. It improves bit by bit, one l...
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Notes on training BERT from scratch on an 8GB consumer GPU
I trained a BERT model (Devlin et al, 2019) from scratch on my desktop PC (which has a Nvidia 3060 Ti 8GB GPU). The model architecture, tokenizer, and trainer all came from Hugging Face libraries, and my contribution was mainly setting up the code, setting up the data (~20GB uncompressed text), and leaving my computer…
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OpenAI's plans according to sama
Last week I had the privilege to sit down with Sam Altman and 20 other developers to discuss OpenAI’s product plans. Sam was remarkably open. The discussion touched on practical developer issues as well as bigger-picture questions related to OpenAI’s mission and the societal impact of AI. Here are the key takeaways.
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Improving mathematical reasoning with process supervision
We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process…
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The greatest risk of AI is from the people who control it, not the tech itself
The history of technology suggests that the greatest risks come not from the tech, but from the people who control it
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Nvidia DGX GH200: 100 Terabyte GPU Memory System
At COMPUTEX 2023, NVIDIA announced NVIDIA DGX GH200, which marks another breakthrough in GPU-accelerated computing to power the most demanding giant AI workloads.
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A Mechanistic Interpretability Analysis of Grokking
Neel Nanda reverse engineers neural networks that have "grokked" modular addition, showing that they operate using Discrete Fourier Transforms and tr…
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