Below are a good number of AI related resources, separated into various topics. Click on a topic to see the associated list of links.
This is not intended to be a comprehensive list of resources. It is stuff I have found that is interesting or useful to me. Hopefully some of it is of interest or use to you as well.
If you have a suggestion for something to add, please send it to me.
Note that this list is provided for informational purposes only. References to any commercial sites or tools do not constitute any sort of endorsement or recommendation. Use them at your own risk.
👉 Click on the little i with the circle around it (bottom left) to find out when this page was last updated.The Stanford AI Index Report (evergreen)
How People are Really Using AI in 2025 (Harvard Business Review)
Detailed report here
McKinsey's State of AI report (2025)
AAAI 2025 Presidential Panel on the Future of AI Research
Deloitte's reports on AI use cases and investment management (2023)
Harvard Business Review article on AI in Finance (2023)
IBM study on the integration of AI and the workforce (2023)
Goldman Sachs report on Generative AI (2023)
Generative AI and the future of work in America (McKinsey) (2023)
ChatGPT - the impact of Large Language Models on Law Enforcement (Europol 2023)
A Logical Calculus of the Ideas Immanent in Nervous Activity (1943)
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain (1958)
Neural Nets and Theories of Memory (1963)
A Pattern Recognition Program that Generates, Evaluates, and Adjusts its Own Operators (1963)
Nearest Neighbor Pattern Classification (1967)
Learning Representations by Back-propagating Errors (1986)
Keeping Neural Networks Simple by Minimizing the Description Length of the Weights (1993)
A Neural Substrate of Prediction and Reward (1997)
Gradient-Based Learning Applied to Document Recognition (1998)
A Tutorial Introduction to the Minimum Description Length Principle (2004)
A Fast Learning Algorithm for Deep Belief Nets (2006)
Machine Super Intelligence (2008)
ImageNet Classification with Deep Convolutional Neural Networks (2012)
Playing Atari with Deep Reinforcement Learning (2013)
Generative Adversarial Nets (2014)
Deep Residual Learning for Image Recognition (2015)
The Unreasonable Effectiveness of Recurrent Neural Networks (2015)
Understanding LSTM Networks (2015)
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin (2015)
Order Matters: Sequence to Sequence for Sets (2016)
Neural Message Passing for Quantum Chemistry (2017)
Attention Is All You Need (2017) (this site covers the paper iteratively)
A Simple Neural Network Module for Relational Reasoning (2017)
Variational Lossy Autoencoder (2017)
Relational Recurrent Neural Networks (2018)
Language Models are Few-Shot Learners (2020)
Scaling Laws for Neural Language Models (2020)
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (2021)
Large Language Models are Zero-Shot Reasoners (2022)
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (2023)
Self-Consistency Improves Chain of Thought Reasoning in Language Models (2023)
Tree of Thoughts: Deliberate Problem Solving with Large Language Models (2023)
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation (2018)
Building the AI-powered Organization (2019)
The Bitter Lesson by Rich Sutton (a short but important essay) (2019)
Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors (2020)
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? (2021)
LoRA: Low-Rank Adaptation of Large Language Models (2021)
Deep Learning Is Hitting a Wall (2022)
Evaluating Large Language Models in Theory of Mind Tasks (2023)
Mathematical discoveries from program search with large language models (2023)
A simple explanation of why advanced AI could be incredibly dangerous (2023)
Weaver: Foundation Models for Creative Writing (2024)
Guiding Instruction-based Image Editing via Multimodal Large Language Models (2024)
MM-LLMs - Recent Advances in Multi-Modal Large Language Models (2024)
KAN: Kolmogorov–Arnold Networks (2024)
Thinking LLMS: General Instruction Following with Thought Generation (2024)
A list of the currently leading Large Language Models (LLMs)
Elicit (an AI summarization engine for academic research)
Midjourney (generate images from descriptive prompts) (you will need a Discord account)
Octoshop (transform images with words)
OpenAI's Dall-E 2 (generate images from descriptive prompts)
Baidu Ernie Bot (use Translate option in Chrome to view in English)
Qwen-VL-PLus (by Alibaba)
https://us.moshi.chat/ (interactive voice chat based LLM)
https://paperguide.ai/ (AI assisted research)
https://huggingface.co/spaces/black-forest-labs/FLUX.1-dev (generate high quality images from prompts)
Flux1-1 (generate very high quality realistic looking images)
https://ideogram.ai/ (generate images from text)
https://www.kaiber.ai/ (generate various kinds of content)
https://www.headshotpro.com/ (get AI assistance with creating your headshot)
https://openart.ai/ (create images from various inputs)
https://firefly.adobe.com/ (Adobe's image generation tool)
https://huggingface.co/spaces/KwaiVGI/LivePortrait? (animate a foto, based on another video)
https://www.freepik.com/pikaso (edit, retouch or expand images)
https://pika.art/ (generate images and video)
https://www.recraft.ai/ (generate brand related content)
https://letsenhance.io/ (upscale and enhance images)
https://magicstudio.com/magiceraser (remove things from photos)
https://imglarger.com/ (enhance and scale images)
https://www.d-id.com/ (generate a video from a photo)
https://pipio.ai/ (generate video from text with digital actors)
https://www.synthesia.io (generate video from text with digital actors)
https://fliki.ai/ (create videos with a text based editor)
https://openai.com/sora (create video from text prompts)
https://kling.kuaishou.com/en (create video from text prompts)
https://huggingface.co/spaces/KwaiVGI/LivePortrait (duplicate speech and movement from one video to another)
https://klingai.com/ (generate video with directional configuration)
https://runwayml.com/research/introducing-act-one (expressive character generation from real content)
https://www.shortsgenerator.ai/ (generate social media content)
WAN's open source video generation
https://www.viitor.com/avatar-video
https://www.veed.io/ai/avatars
https://app.bhuman.ai/ (personalized videos at scale)
https://www.heygen.com/ (Compelling synthetic duplication of speech and video)
https://labs.heygen.com/guest/video-translate (Translate video into another language)
https://translate.synclabs.so/ (convert video to any language, with lip syncing)
https://rendernet.ai/ (face swapping and video rendering)
https://www.videotosoundeffects.com/ (add sound effects to a video)
https://github.com/KwaiVGI/ReCamMaster (video stabilization and addition of new angles)
https://stable-virtual-camera.github.io/ (3D videos with controllable camera views, from a single image)
https://fakeyou.com/ (generate fake audio from a sample)
https://play.ht/studio/files (create larger deepfake audio files)
https://www.hume.ai/ (text to speech)
https://writesonic.com/ai-voice-generator (high quality text to speech)
https://deepgram.com/learn/aura-text-to-speech-api-waitlist (real time text to speech)
https://speakai.co/ (convert audio and video into text, and analyze it)
https://elevenlabs.io/ (high quality speech from text | audio cloning)
https://www.sesame.com/research/crossing_the_uncanny_valley_of_voice#demo (conversational speech interface)
https://podcastle.ai/ai-voices (AI generated voices)
https://mureka.ai (create songs based on text prompts)
https://www.udio.com/ (create songs from prompts)
https://www.mightygpt.com/ (Whatsapp integration for GPT)
https://www.wordtune.com/ (have an AI improve your prose)
https://looka.com/ (build a brand with AI)
https://moveo.ai/ , https://www.humata.ai/ , https://www.chatnode.ai/ (turn your data into a chatbot)
https://gamma.app/ (now also does other stuff)
https://www.youtube.com/watch?v=33pYJ8CodCo&ab_channel=VOLCAMTOOLcameraTobypassKYCandselfie
https://experiments.withgoogle.com/thing-translator (have an AI identify and translate things)
https://scrollprize.org/grandprize (read burned scrolls from Herculaneum)
https://theresanaiforthat.com/
https://supertools.therundown.ai/
https://blog.google/products/search/ai-mode-search/
https://callhippo.com/ai-sales-agent/
https://www.aircover.ai/lp/ai-sales-engineer
https://www.pitchpatterns.com/
https://artisan.co/ava-sales-rep/
https://www.conveyor.com/landing-page/conveyor-rfp-ai-agent
Medical Assistant (transcription and referral letter generation, etc.)
https://zitniklab.hms.harvard.edu/TxAgent/ (Therapeutic reasoning)
Brain-to-voice neuroprosthesis
https://www.notion.com/product/mail
https://notebooklm.google.com/
https://www.wonsulting.ai/autoapplyai
https://academic.oup.com/eurjcn/advance-article-pdf/doi/10.1093/eurjcn/zvad087/51306765/zvad087.pdf
https://about.fb.com/news/2023/08/seamlessm4t-ai-translation-model/
https://huggingface.co/spaces/facebook/seamless_m4t (demo)
https://www.psu.edu/news/research/story/matter-taste-electronic-tongue-reveals-ai-inner-thoughts
https://www.wired.com/story/labgenius-antibody-factory-machine-learning/
https://www.gynecologiconcology-online.net/article/S0090-8258(23)01636-0/fulltext
https://google-research.github.io/seanet/musiclm/examples/
https://apps.apple.com/app/id6453942052 (iOS phone app)
https://techxplore.com/news/2023-09-scientists-neural-network-pc-users.html
https://www.aboutamazon.com/news/retail/generative-ai-trains-amazon-one-palm-scanning-technology
https://mealpractice.com/generate
https://generated.photos/human-generator/
https://scrippsnews.com/stories/with-ai-future-of-hearing-aids-might-include-language-translation/
https://www.conveyor.com/landing-page/security-questionnaire-automation-software
https://resistant.ai/products/documents/
https://www.perlego.com/ai-researcher
https://time.com/6994739/ai-behavior-change-health-care/
https://bolt.new/
https://huggingface.co/spaces (lots of different AI fun things)
https://sketch2app.io/ (create an app from a photo sketch)
https://makereal.tldraw.com/ (create software by drawing how it should work)
https://mikrotakt.app/ (split voices and instruments in audio)
https://aihomedesign.com/ (create virtual spaces)
https://ideogram.ai (create very nice images from a prompt)
https://skybox.blockadelabs.com/ (create your own virtual worlds)
https://teachablemachine.withgoogle.com/ (make simple ML models)
https://affinelayer.com/pixsrv/ (generate images from simple sketches)
https://crossword.withgoogle.com/game/ (play a crossword puzzle)
https://portal.vana.com/ (have a chat with an AI version of yourself (sort of))
Win a million dollars by solving this puzzle
https://blog.google/technology/ai/dolphingemma/ (decoding dolphin communication)
A list of neural network courses
Another Github list with links to papers
The CFTC's "Primer on AI in Financial Markets"
EY's discussion paper on AI in the capital markets
The Ontario Security Commission's report on AI
CFA -Artificial Intelligence in Asset Management
The Application of Artificial Intelligence in Financial Compliance Management (2019)
The Future of AI Accountability in the Financial Markets (2022)
FinBERT: A Large Language Model for Extracting Information from Financial Text (2022)
FinGPT: Open-Source Financial Large Language Models (2023)
Financial Statement Analysis with Large Language Models (2024)
A version of LLama 3.1 tuned for math, finance, and economics
Interpretable Machine Learning (Christoph Molnar) - excellent online book
Explainable AI - Understanding and Trusting Machine Learning Models (Data Camp Course)
Explainable Machine Learning, Game Theory, and Shapley Values: A technical review
Fairness and Machine Learning, Limitations and Opportunities (Solon Barocas et al.)
Introduction to the Shapley Value (1988)
Statistical Modeling: The Two Cultures (2001)
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)
“Why Should I Trust You?" Explaining the Predictions of Any Classifier (2016)
A Unified Approach to Interpreting Model Predictions (2017)
Towards A Rigorous Science of Interpretable Machine Learning (2017)
The Measure and Mismeasure of Fairness (2018)
On the Robustness of Interpretability Methods (2018)
Anchors: High-Precision Model-Agnostic Explanations (2018)
Instance-Level Explanations for Fraud Detection: A Case Study (2018)
Multi-Objective Counterfactual Explanations (2020)
A Survey on Neural Network Interpretability (2021)
What is Interpretability? (2021)
Using Machine-Learning to Triage Canada’s Temporary Resident Visa Applications (2021)
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks (2021)
A Survey on Bias and Fairness in Machine Learning (2022)
Leakage and the Reproducibility Crisis in ML-based Science (2022)
Explainable Machine Learning and its Limitations (2023)
AI can be both Accurate and Transparent (Harvard Business Review 2023)
Towards Fair and Explainable AI Using a Human-Centered AI Approach (2023)
Sources of Uncertainty in Machine Learning - A Statisticians’ View (2023)
The Case Against Explainability (2023)
Criticizing Ethics According to Artificial Intelligence (2024)
Towards Compositional Interpretability (Extended abstract) (2024)
Explainable AI for High Stakes Decision Making (2024)
TechieRay's excellent international AI regulation tracker
The European Union Artificial Intelligence Act
The White House inititiave towards an AI Bill of Rights
The U.S. Artificial Intelligence Safety Institute
The pending Canadian Artificial Intelligence and Data Act
Canada Generative AI Code of Practice
From Principles to Rules: A Regulatory Approach for Frontier AI (2024)
Ewert v. Canada, [2018] 2 SCR 165
Floryan v. Luke et al., 2023 ONSC 5108
Haghshenas v. Canada (Citizenship and Immigration), 2023 FC 464
George Washington University AI Litigation Database
A nice tracker of some the currently active AI litigation
A good discussion on active generative AI copyright cases
Tracker of guidance issued by courts in use of AI
Thaler v. Perlmutter, United States District Court for the District of Columbia, 2023
Thaler v. Vidal, Supreme Court of the United States, 2023
Mata v. Aviance Inc., United States District Court, Southern District of New York, 2023
Kruse v. Karlen et al., Missouri Court of Appeals, Eastern District, 2024
A Brief History of Intelligence (Max Bennett)
The Alignment Problem (Brian Christian)
Artificial Intelligence (Russell and Norvig) (This links to an online version of the Third Edition which is still good for intro reading. The new Fourth Edition outline is here).
The Hundred-Page Machine Learning Book (Andriy Burkov)
An Introduction to Statistical Learning with Applications in Python (Gareth James et al.)
Interpretable Machine Learning (Christoph Molnar)
Fairness and Machine Learning, Limitations and Opportunities (Solon Barocas et al.)
International Handbook of AI Law (shameless self promotion)