Machine Intelligence - 2024

🔗 Sora is here

🔗 “AI Inside” Opens New Markets for Vertical SaaS

🔗 OWASP Expands GenAI Security Guidance

🔗 Introducing Delphi.AI

🔗 Building LLMs is probably not going to be a brilliant business

🔗 Computing inside an AI

🔗 Ask Ethan: Does quantum computation occur in parallel universes?

🔗 Being Human in the Age of AI

🔗 AI Is the Black Mirror

🔗 Artificial Intelligence and the Future of Work

🔗 Graph-based AI model maps the future of innovation

🔗 We can all be AI engineers – and we can do it with open source models

🔗 OCR: Document to Markdown

🔗 How AI-Powered Vertical SaaS Is Taking Over Traditional Enterprise SaaS

🔗 Archetypes of LLM apps

🔗 Model Context Protocol (MCP) Quickstart

🔗 AI is the Future of Development, But Not as I Imagined

🔗 Agentic Websites and Apps

🔗 Apple study exposes deep cracks in LLMs’ “reasoning” capabilities

🔗 Automate Your Job Applications with AIHawk's Auto_Jobs_Applier

🔗 A return to hand-written notes by learning to read & write

🔗 Headstart Accelerates Software Development by up to 100x with Claude

🔗 LLMs, Theory of Mind, and Cheryl's Birthday

🔗 Building LLMs from the Ground Up: A 3-hour Coding Workshop

🔗 Notes on OpenAI’s new o1 chain-of-thought models

🔗 Automating the Back Office: How AI is Transforming Professional Services

🔗 Yuval Noah Harari on whether democracy and AI can coexist

🔗 AI and the Technological Richter Scale

🔗 AI: A Means to an End or a Means to Our End?

🔗 J.P. Morgan's Python Training

🔗 Introduction to Anthropic's Prompt Engineering Interactive Tutorial

🔗 Generative AI: Revolutionising Business with Artificial Intelligence

🔗 AI: A Means to an End or a Means to Our End?

🔗 A Firehose of LLM / AI Tidbits

🔗 AI OR DIE: The First 100% AI Sketch Comedy Show (EP01 - Flutes & Horses)

🔗 Anthropic Publishes the ‘System Prompts’ That Make Claude Tick

🔗 Diffusion Models Are Real-Time Game Engines

🔗 Quantum Computing Advances: Simplifying Complex Principles

🔗 AI is helping to launch new businesses

🔗 Microsoft says OpenAI is now a competitor in AI and search

🔗 Embedding.io: Turn Websites into LLM Knowledge Bases

🔗 A New Era of Computing

🔗 Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning

🔗 SITUATIONAL AWARENESS - The Decade Ahead

🔗 Tammy Lovin · Sora Showcase

🔗 exo Project Repository

🔗 Non-Obvious Prompt Engineering Guide

🔗 Does Refusal Training in LLMs Generalize to the Past Tense?

🔗 Overcoming the limits of current LLM

🔗 AI Scribes: Investment Thesis by a16z

🔗 A Model of a Mind

🔗 Introducing Eureka Labs

🔗 AI achieves silver-medal standard solving International Mathematical Olympiad problems

🔗 Gentleness and the artificial Other

🔗 Language models on the command-line

🔗 Yohana: The Ultimate Concierge for Busy Families

🔗 The AI Summer

🔗 Who Wins the AI Value Chain?

🔗 Kijai's LivePortrait

🔗 Purposefully Teaching Future Readiness with Alex Zarifeh

🔗 Gen AI: too much spend, too little benefit?

🔗 Introducing RouteLLM: A Cost-Effective LLM Router Framework

🔗 What We Learned from a Year of Building with LLMs (Part I) (oreilly.com)

🔗 Here’s what’s really going on inside an LLM’s neural network (arstechnica.com)

🔗 What is the biggest challenge in our industry? (thrownewexception.com)

🔗 Scaling Monosemanticity - Extracting Interpretable Features from Claude 3 Sonnet (transformer-circuits.pub)

🔗 Back To Atoms

🔗 Grounding - Enhance GEN AI with YOUR DATA (youtube.com)

🔗 What's the future for generative AI? The Turing Lectures with Mike Wooldridge (youtube.com)

🔗 Can LLMs invent better ways to train LLMs?

🔗 Gen AI Testing and Evaluation with ARTKIT

🔗 Reverse Turing Test Experiment with AIs

🔗 I Will Piledrive You If You Mention AI Again

🔗 Introducing Generative Physical AI -- youtube.com

🔗 Achieving the Self-Thinking Business (linkedin.com)

🔗 Generative AI Handbook: A Roadmap for Learning Resources -- genai-handbook.github.io

🔗 My personal AI research agenda, mid 2024 (and a pitch for work)

🔗 The Next Great Scientific Theory is Hiding Inside a Neural Network

🔗 SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

🔗 Sober AI is the Norm

🔗 If AI Can Do Your Job, Maybe It Can Also Replace Your CEO (nytimes.com)

🔗 Why Apple is Taking a Small-Model Approach to Generative AI

🔗 Diffusion Models | Paper Explanation | Math Explained (youtube.com)

🔗 Refusal in LLMs is mediated by a single direction (lesswrong.com)

🔗 I Want Flexible Queries, Not RAG (win-vector.com)

🔗 AI and problems of scale (ben-evans.com)

🔗 Anthropic - Prompt Engineering (thenameless.net)

🔗 Ilya 30u30 AI papers for John Carmack (arc.net)

🔗 Introduction to gpt-4o (openai.com)

🔗 OpenAI Releases Its First AI-Made Music Video (techchilli.com)

🔗 I will never go back - Ontario family doctor says new AI notetaking saved her job (globalnews.ca)

🔗 State-of-the-Art Exact Binary Vector Search for RAG in 100 lines of Julia (domluna.com)

🔗 Apple to unveil AI-enabled Safari with iOS 18 & macOS 15 (appleinsider.com)

🔗 alessiodm-drl-zh - Deep Reinforcement Learning - Zero to Hero (github.com)

🔗 OpenAI to Challenge Google with Its Own Search Engine in May (beebom.com)

🔗 Malleable software in the age of LLMs (geoffreylitt.com)

🔗 I'm Bearish OpenAI (stovetop.substack.com)

🔗 GenAI in 2024 - Another Decade in One Year? (medium.com)

🔗 Ways to think about AGI (ben-evans.com)

🔗 Daniel Dennett 'Where Am I?' (thereader.mitpress.mit.edu)

🔗 5 Big Myths Of AI and Machine Learning Debunked (splunk.com)

🔗 AlphaFold 3 predicts the structure and interactions of all of life’s molecules (blog.google)

🔗 LLM inference speed of light

🔗 An Agentic Design for AI Consciousness

🔗 Looking for AI Use Cases

🔗 Financial Market Applications of LLMs

🔗 Dify

🔗 OpenAPI AutoSpec

🔗 The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

🔗 How (Specifically) AI Will 100x Human Creativity and Output

🔗 Stanford AI Index Report 2024: An In-depth Analysis of AI's Current State

🔗 LLM in a flash: Efficient Large Language Model Inference with Limited Memory

🔗 Outset.ai: Revolutionizing User Surveys with GPT-4

🔗 The Death of the Big 4: AI-Enabled Services Are Opening a Whole New Market

🔗 The Pipe

🔗 The Question No LLM Can Answer

🔗 Comprehensive Guide to AI Tools and Resources

🔗 Enhancing GPT's Response Accuracy Through Embeddings-Based Search

🔗 VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

🔗 Here’s Proof You Can Train an AI Model Without Slurping Copyrighted Content

🔗 Transformer Math 101

🔗 Screen Recording to Code

🔗 ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs

🔗 Autogenerating a Book Series From Three Years of iMessages

🔗 Top AIs still fail IQ tests

🔗 The Expanding Dark Forest and Generative AI

🔗 An Introduction to Knowledge Graphs

🔗 Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI | Lex Fridman Podcast #416

🔗 noi

🔗 Gold-Medalist Coders Build an AI That Can Do Their Job for Them

🔗 LLM Prompt Injection Worm

🔗 AI startups require new strategies: This time it’s actually different

🔗 pg_vectorize: a VectorDB for Postgres

🔗 Defending LLMs against Jailbreaking Attacks via Backtranslation

🔗 As Nvidia hits $2 trillion, billionaire Marc Rowan’s asset manager Apollo calls AI a ‘bubble’ worse than even the dotcom era

🔗 Stable Diffusion 3: Research Paper

🔗 Anthropic’s Claude 3 causes stir by seeming to realize when it was being tested

🔗 Meta is building a giant AI model to power its ‘entire video ecosystem,’ exec says

🔗 Introducing TripoSR: Fast 3D Object Generation from Single Images

🔗 The Problem of Human Specialness in the Age of AI

🔗 A generalist AI agent for 3D virtual environments

🔗 Building Meta’s GenAI Infrastructure

🔗 Large Language Models: A Survey

🔗 AI is the average of the Internet: WPP, Don't become an AI North Korea

🔗 Beyond Self-Attention: How a Small Language Model Predicts the Next Token

🔗 Machine Learning Research at Apple

🔗 The AI bullshit singularity

🔗 Deep Learning Discovers Antibiotics

🔗 GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting

🔗 The Age of Average

🔗 Spreadsheets are all you need - Understanding GPT2 and Transformers with Spreadsheets

🔗 Demis Hassabis on Chatbots to AGI | Hard Fork EP 71

🔗 Introduction to Matryoshka Embedding Models

🔗 GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis

🔗 How I'd Learn AI (If I Had to Start Over)

🔗 Jeff Dean (Google): Exciting Trends in Machine Learning

🔗 I analysed 5M freelancing jobs to see what jobs are being replaced by AI

🔗 OpenAI shocks the world yet again … Sora first look

🔗 GeneGPT

🔗 SORA Video To Video Is Literally Mind Blowing - 12 HD Demos - Changes Industry Forever For Real

🔗 Chain-of-Thought Reasoning Without Prompting

🔗 OWASP LLM AI Security and Governance Checklist v1 (pdf)

🔗 Meta releases prompt engineering guide to help beginners and pros prompt like experts

🔗 How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

🔗 Stanford’s mobile ALOHA robot learns from humans to cook, clean, do laundry

🔗 Direct Preference Optimisation: Your Language Model is Secretly a Reward Model

🔗 Attacks on machine learning models

🔗 Sean Moriarty - The Future of Large Language Models is Elixir

🔗 Centaurs and Cyborgs on the Jagged Frontier

🔗 AI or Ain't: Eliza

🔗 The Frame Problem

🔗 Andrei Kovalev's Midlibrary

🔗 The 6 Types of Conversations with Generative AI

🔗 Embeddable AI with Nitro

🔗 Self-Consuming Generative Models Go MAD

🔗 AI Won’t Kill Our Jobs, It Will Kill Our Job Descriptions—and Leave Us Better Off

🔗 State-of-the-art Code Generation with AlphaCodium – From Prompt Engineering to Flow Engineering

🔗 Seven Failure Points When Engineering a Retrieval Augmented Generation System

🔗 The Impact of Reasoning Step Length on Large Language Models

🔗 Ten Noteworthy AI Research Papers of 2023

🔗 crewAI

🔗 The chaos inside OpenAI – Sam Altman, Elon Musk, and existential risk explained | Karen Hao