I'm often asked, how to keep up? LLM genAI is evolving faster than HTML in the mid-90s. I constantly talk with people: developers, founders, investors, etc.; I go to events; I speak at events, I teach university courses; and I talk with lots of other people. Yes, it's a lot of work.
If you see a useful article or whatever about AI, let me know. I'll look at it and if it fits, I'll add it.
I post notes, updates, and stuff about AI at
Blue Sky at @Andreas.com and
LinkedIn.
Updated March 2025.
My eBooks and Webpages for AI
Fun games you can play with your AI. Google Gemini 2.0 Pro Experimental 02-05 lets you paste 1.1m tokens (about 5,000 pages or 33 books). I created a text file for your AI with 640 pages that you can open in your AI to ask questions, get summaries, look for trends, and so on.
Twitter and Blue Sky are the main place for AI news. Stuff is announced or discussed in tweets. Here's my list of useful AI accounts in Twitter. I'm at Blue Sky at @Andreas.com
AI Newsletters: AlphaSignal, The Deep View, and The Rundown AI, the Batch, Mindstream, Neuron, and oneusefulthing.org. There are more. Some day, I'll list all of them.
Jeremiah Owyang's List of AI Events. Over 300 meetings or conferences every month in Silicon Valley (Palo Alto and San Francisco). There are also events in New York NYC, Seattle, and London. Come to SV for five days and go to lots of events. You'll learn more in five days here than a year elswhere.
Agenda Hero has additional events in Silicon Valley.
Useful Books and Articles about AI
God, Human, Animal, Machine by Meghan O’Gieblyn. Intelligence and sentience have a complex history in philosophy, theology, and science. What do these mean? The best book on the origins and implications of these ideas.
Tim Lee explains LLMs in clear language. Large Language Models Explained. This is a Must-Read to get a basic understanding of AI LLM.
A survey of 2,778 AI Researchers (January 2024) who had published peer-reviewed research in the prior year in six top AI venues (NeurIPS, ICML, ICLR, AAAI, IJCAI, JMLR) on their predictions of AI.
Leopold Aschenbrenner's essay Situational Awareness. On AI, Silicon Valley, and militarization of AI.
If you see something useful, let me know and I'll add it.
My Courses for Digital Marketing and AI
I teach DMAnc courses in AI for marketing, SEO and digital ads (Google Ads, which can also be used for Facebook, LinkedIn, Instagram, etc.). These university-level courses are hands-on and practical. You get everything: prompts, results, code, examples, links, etc. I've been teaching AI since January 2023. These courses are constantly updated. See my DMAnc courses in AI for marketing.
The Current Best LLM AI (March 2025)
People also ask me, "what AI should I use? What's the best one?" There are about a dozen top AI, and most of them have various models (versions). There are (currently) 13 versions of Google Gemini and over 503 versions of DeepSeek.
These AI have a similar chat interface with differences in options, quality, and capabilities. These are called “foundation models” or "frontier models". Some 70,000 AI tools are built on top of these (such as Perplexity, etc.).
If your office doesn't allow you to use AI because your work will be monitored by the Chinese Communist Party (unlikely) or stolen by Elon Musk (likely), you can download an AI to your computer, laptop, or phone and use it without any connection. Your AI work is 100% private and secure. I show how to do this in my courses in AI.
These AI have a similar chat interface with differences in options, quality, and capabilities. These are called “foundation models” or "frontier models". Some 70,000 AI tools are built on top of these (such as Perplexity, etc.).
The top image AI: Dall-e, Microsoft Copilot, Microsoft Designer, ImageFX, and Meta Image. Try also Pikaso
Perplexity.ai is also a very good AI for search. It combines its own LLM AI, along with OpenAI ChatGPT, Claude-3, Mistral, and Llama-3 AIs with search data from the Microsoft Bing search engine.
If you see something useful, let me know and I'll add it.
Multi-Agent System (MAS)
Multi-Agent System (MAS): Combine multiple AI persona to create virtual teams with roles such as CEO, CTO, CFO, directors, managers, reviewers, testing, documentation, and so on. The team of AI persona collaborates to process tasks and produce results.
What does this mean for you? You'll be able to create an MAS agent to duplicate what you do. It can do your work, learn for you, attend meetings on your behalf, make decisions, receive and send messages, and produce reports, software, translations, and so on. You'll be able to buy or rent MAS agents. Need software to do something in your company? Rent an MAS, describe what you need, and it makes custom software (with design, code, testing, and user manual) in 410 seconds (6.8 minutes) at a cost of US$0.30 (thirty cents). (Think about the implications for the software industry and the hundreds of thousands of programmers.) An MAS won't be just five or ten agents. Langchain expects one MAS may have 200 to 300 agents, each with specialized roles, tasks, and responsibilites. Whatever can be done remotely can be turned into an MAS.
What's the advantage of an MAS? Chat-based LLM is restricted by the user's ability to use chat LLM, along with the user's knowledge, creativity, speed, and time. Agentic AI doesn't have those limits.
