Let’s not make the same mistakes with AI that we made with social media
Social media’s unregulated evolution over the past decade holds a lot of lessons that apply directly to AI companies and technologies.
AI/ML
Automated molecular structure segmentation from documents using ChemSAM - PubMed
Chemical structure segmentation constitutes a pivotal task in cheminformatics, involving the extraction and abstraction of structural information of chemical compounds from text-based sources, including patents and scientific articles. This study introduces a deep learning approach to chemical struc …
Training great LLMs entirely from ground up in the wilderness as a startup — Yi Tay
Chronicles of training strong LLMs from scratch in the wild
Ted Benson
GitHub - ErikBjare/gptme: Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision. - ErikBjare/gptme
Ethan Mollick, analyst: ‘Students who use AI as a crutch don’t learn anything’
The veteran professor, who has become a celebrity on social media, has published a book on how to better understand and use artificial intelligence in everyday life
marimo v0.9.0 with mo.ui.chat
The latest release of the Marimo Python reactive notebook project includes a neat new feature: you can now easily embed a custom chat interface directly inside of your notebook. Marimo …
We’re Entering Uncharted Territory for Math - The Atlantic
Terence Tao, the world’s greatest living mathematician, has a vision for AI.
pytudes/ipynb/CherylMind.ipynb at main · norvig/pytudes
There has been much debate on the degree to which Large Language Models (LLMs) have a theory of mind: a way of understanding what other people know and don't know. In this notebook I explore one small part of the issue by asking nine LLM chatbots to solve the Cheryl's Birthday Problem, a well-known logic puzzle in which different characters have different states of knowledge at different times.
Wispr Flow | Effortless Voice Dictation
Flow makes writing quick and clear with seamless voice dictation. It is the fastest, smartest way to type with your voice.
MIT spinoff Liquid debuts non-transformer AI models and they’re already state-of-the-art
The startup from MIT's CSAIL says its Liquid Foundation Models have smaller memory needs thanks to a post-transformer architecture.
NotebookLM’s automatically generated podcasts are surprisingly effective
Audio Overview is a fun new feature of Google’s NotebookLM which is getting a lot of attention right now. It generates a one-off custom podcast against content you provide, where …
mlx-vlm
The MLX ecosystem of libraries for running machine learning models on Apple Silicon continues to expand. Prince Canuma is actively developing this library for running vision models such as Qwen-2 …
What We Learned from a Year of Building with LLMs (Part I)
GitHub - simonw/llm-mlc: LLM plugin for running models using MLC
LLM plugin for running models using MLC. Contribute to simonw/llm-mlc development by creating an account on GitHub.
GitHub - taketwo/llm-ollama: LLM plugin providing access to local Ollama models using HTTP API
LLM plugin providing access to local Ollama models using HTTP API - taketwo/llm-ollama
Tensor Labbet · A blog of deep learnings
What kind of music is this?
"This collection appears to be primarily alternati…" Go see Molmo's answer!
Hacker plants false memories in ChatGPT to steal user data in perpetuity
Emails, documents, and other untrusted content can plant malicious memories.
What I’ve Learned in the Past Year Spent Building an AI Video Editor - Make Art with Python
Lessons from An Unexpected Year in AI
How Chain-of-Thought Reasoning Helps Neural Networks Compute | Quanta Magazine
Large language models do better at solving problems when they show their work. Researchers are beginning to understand why.
EvolutionaryScale
ESM3. Enabling scientists to understand, imagine, and create proteins.
GitHub - divelab/DIG: A library for graph deep learning research
A library for graph deep learning research. Contribute to divelab/DIG development by creating an account on GitHub.
Taking a closer look at AI’s supposed energy apocalypse
AI is just one small part of data centers’ soaring energy use.
Curiosity - AI search for everything
The ultimate AI productivity app that protects your privacy. Bring all your apps and data into one AI-powered search and assistant. Get it for you and for your teams today.
GitHub - thiswillbeyourgithub/WDoc: Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement - thiswillbeyourgithub/WDoc
How streaming LLM APIs work | Simon Willison’s TILs
I decided to have a poke around and see if I could figure out how the HTTP streaming APIs from the various hosted LLM providers actually worked. Here are my notes so far.
Building A GPT-Style LLM Classifier From Scratch
Finetuning a GPT Model for Spam Classification
Introducing Contextual Retrieval \ Anthropic
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
GitHub - ictnlp/LLaMA-Omni: LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.
LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level. - ictnlp/LLaMA-Omni