1
Pause Giant AI Experiments: An Open Letter
We call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 76 posts.
2
Alpaca: A strong open-source instruction-following model
Instruction-following models such as GPT-3.5 (text-davinci-003), ChatGPT, Claude, and Bing Chat have become increasingly powerful. Many users now interact with these models regularly and even use them for work. However, despite their widespread deployment, instruction-following models still have many deficiencies…
3
Function calling and other API updates
We’re announcing updates including more steerable API models, function calling capabilities, longer context, and lower prices.
4
ChatGPT Plugins
We’ve implemented initial support for plugins in ChatGPT. Plugins are tools designed specifically for language models with safety as a core principle, and help ChatGPT access up-to-date information, run computations, or use third-party services.
5
March 20 ChatGPT outage: Here’s what happened
An update on our findings, the actions we’ve taken, and technical details of the bug.
6
LLaMA: A foundational, 65B-parameter large language model
Today, we’re releasing our LLaMA (Large Language Model Meta AI) foundational model with a gated release. LLaMA is more efficient and competitive with previously published models of a similar size on existing benchmarks.
7
Statement on AI Risk
A statement jointly signed by a historic coalition of experts: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
8
MosaicML MPT-7B: A Commercially-Usable LLaMa-Quality Model
Introducing MPT-7B, the first entry in our MosaicML Foundation Series. MPT-7B is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. MPT-7B was trained on the MosaicML platform in 9.5 days with zero human intervention…
9
Aligning language models to follow instructions
We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models…
10
Introducing ChatGPT and Whisper APIs
Developers can now integrate GPT‑3.5 Turbo and Whisper models into their apps and products through our API.
11
New AI classifier for indicating AI-written text
We’re launching a classifier trained to distinguish between AI-written and human-written text.
12
Bard and new AI features in Search
Introducing Bard (now Gemini), Google's conversational AI service — plus, new AI features in Search.
13
CLIP: Connecting text and images
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.
14
Language models can explain neurons in language models
We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2.
15
Mixtral of experts
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
16
GraphCast: AI model for weather forecasting
Our state-of-the-art model delivers 10-day weather predictions at unprecedented accuracy in under one minute
17
Introducing Superalignment
We need scientific and technical breakthroughs to steer and control AI systems much smarter than us. To solve this problem within four years, we’re starting a new team, co-led by Ilya Sutskever and Jan Leike, and dedicating 20% of the compute we’ve secured to date to this effort. We’re looking for excellent ML…
18
GitHub Copilot emits GPL code
Demonstrating that GitHub Copilot trains on non-permissive licenses and cannot filter suggestions properly, while Codeium avoids legal risk.
19
What is a Vector Database? (2021)
Discover Vector Databases: How They Work, Examples, Use Cases, Pros & Cons, Selection and Implementation. They have combined capabilities of traditional databases and standalone vector indexes while specializing for vector embeddings.
20
Free Dolly: First truly open instruction-tuned LLM
Introducing Dolly, the first open-source, commercially viable instruction-tuned LLM, enabling accessible and cost-effective AI solutions.
21
22
Mistral 7B
The best 7B model to date, Apache 2.0
23
RedPajama: Reproduction of LLaMA with friendly license
RedPajama launches to build fully open-source leading language models, starting by reproducing LLaMA's training dataset of over 1.2 trillion tokens.
24
GPTs: Custom versions of ChatGPT
You can now create custom versions of ChatGPT that combine instructions, extra knowledge, and any combination of skills.
25
Mistral: Our first AI endpoints are available in early access
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
26
How Zoom’s terms of service and practices apply to AI features
As part of our commitment to transparency and user control, we're providing clarity on our approach to Zoom’s AI features and content sharing for product improvement purposes.
27
LLaMA2 Chat 70B outperformed ChatGPT
AlpacaEval an LLM-based automatic evaluation that is fast, cheap, and reliable. It is based on the AlpacaFarm evaluation set, which tests the ability of models to follow general user instructions. These responses are then compared to reference responses (Davinci003 for AlpacaEval, GPT-4 Preview for AlpacaEval 2.0) by…
28
Workers AI: Serverless GPU-powered inference
We are excited to launch Workers AI - an AI inference as a service platform, empowering developers to run AI models with just a few lines of code, all powered by our global network of GPUs
29
Graph Networks for Materials Exploration
We share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials.
30
Supabase Clippy – ChatGPT for Supabase Docs
Creating a ChatGPT interface for the Supabase documentation.