Keeping up with AI is all noise and no signal — and it can feel like a full-time job just keeping up with the changes. Over the last few years, I’ve watched, read, and listened to a lot of AI content. I have a list of over 50 sources — people I regularly bookmark, newsletters I actually open, and YouTube videos I watch past the intro. I cut the list in half, because really, who has time to click through that many links?
My Stack
I’ve used a lot of different AI tools and apps to try and bring some order to the chaos. Here’s my current workflow:
Discovery comes from a few places: Google’s News app (where I’m very careful to only engage with AI stories), LinkedIn (where I follow a lot of AI thought leaders), podcasts, and YouTube. I use two bookmark tools — KaraKeep exclusively for LinkedIn posts (I wrote a Chrome extension to scrape posts when I want to pull out images or links more easily), and getRecall.ai, a read-it-later / knowledge map tool I use to grab most everything else like web bookmarks and YouTube videos I want to save for later.
For learning new technology, I’ll pull sources from YouTube, PDFs, and documents into NotebookLM where I use their podcast and presentation generation tools. I also have ChatGPT, Gemini, Claude, and Copilot access to test out new features as they come out — though I find myself leaning more toward Claude than any of the others. Claude Code and the new Cowork are having a moment in the non-coder world, so I try to use those as much as possible.
Chrome with Gemini is very useful for helping me with technical work I need to understand while I’m in the browser — “help me navigate this console” has saved me hours of time. For vibe coding, I move between Claude Code and Antigravity (Google’s IDE). I liked Granola for note-taking on calls but have migrated to Teams transcription since testing out Copilot at Slipstream. I also like Copilot for M365 for helping coordinate meetings and prep for calls, so long as I have context from email or Teams conversations.
I generally use Claude for most everything else work-related — customer research, deep dives on topics I’m not familiar with in the life sciences space. I use Claude Projects for anything that will be used more than once: weekly leadership updates, projects I’m working on. I put all my notes and documentation into the project and use that context when developing artifacts I need, like a quick 2–3 slides on a project status. I use Claude Skills to keep presentations in the Slipstream brand, which makes transferring to the official template much easier without a lot of rework.
I learn mostly by trying things out. If there’s a new feature rolling out in ChatGPT, I test it and try to think of ways to bring it into my workflow. If I see a new technique or framework I want to try, I build something quickly to test it with Claude Code. For example, this week Google released a new library called LangExtract for extracting structured information from unstructured text — think tables and diagrams inside a PDF. I know this is a challenge for life sciences because of all the research papers and medical documents, so I’m running some tests to see if it’ll be useful for Slipstream or our clients.
Here are the 24 sources that survived. No filler. No redundancy.
LinkedIn Voices Worth Following
These are the people whose posts consistently make me stop scrolling. If you’re only going to follow a handful of AI voices on LinkedIn, start here.
Om Nalinde — Consistently high-signal AI content. My most-saved creator over the last six months, and for good reason — every post delivers something usable.
Rakesh Gohel — Prolific with practical, actionable AI applications you can use immediately. If you’re looking for volume and quality, he delivers both.
Maryam Miradi, PhD — A Chief AI Scientist with 20+ years in AI. Her content dives deep into AI agents, applied machine learning, and Python tooling. One of the most technically grounded voices on LinkedIn.
Hamna Aslam Kahn — Strong, consistent output on applied AI. One of my most bookmarked creators — she keeps showing up in my saves for a reason.
Barbara Cresti — Stands out by focusing on strategic AI thinking over tactical tips. A good counterbalance to the “top 10 prompts” crowd.
Rachel Woods — A well-known voice on AI implementation. Practical, no-nonsense, and focused on what actually works in the real world.
Tom Bilyeu — Broader lens than most on this list — he sits at the intersection of mindset, entrepreneurship, and AI. Useful for the bigger picture.
Allie K. Miller — One of the most recognized AI leaders on the platform. Also runs a great newsletter (see below). Worth following in both places.
Paweł Huryn — Unique angle: product management meets AI. Valuable if you’re building products, not just following the news.
Alex Lieberman — Morning Brew founder bringing a business and media lens to AI trends. Useful perspective if you think about AI from a market angle.
Newsletters I Actually Open
My inbox gets dozens of AI newsletters. These are the six that earn their place every week.
TLDR AI — The best daily digest in the space. Fast, scannable, and reliably covers what matters without burying you in hype.
Nate’s Substack — Nate B. Jones focuses on something most AI content ignores: what AI actually means for your career. Practical kits and frameworks, not just news.
Maryam Miradi’s Newsletter — A Chief AI Scientist with 20+ years in AI, Maryam’s newsletter dives deep into AI agents, applied machine learning, and Python tooling. One of the most technically grounded voices in the space.
AI with Allie — Allie K. Miller makes complex AI concepts accessible. Great for sharing with colleagues who are still getting up to speed.
TAAFT — There’s An AI For That — The best source for discovering new AI tools. If a useful tool launches, it shows up here first.
Tiago Forte’s Newsletter — Not strictly AI, but the intersection of productivity, knowledge management, and AI tools is increasingly where the real value lives.
YouTube Channels for Going Deeper
When I want to actually understand something rather than just skim it, these are the channels I turn to.
AI Explained — The best channel for understanding frontier AI models, benchmarks, and what’s actually new versus what’s hype. If a major model drops, this is where I go first.
Cole Medin — Hands-on tutorials for building with AI agents and coding assistants. If you learn by doing, this is your channel.
Theo — t3.gg — A developer with sharp, honest takes on AI and tech. No sugarcoating, no hype — just a smart engineer thinking out loud.
Nate B. Jones — Strategy and frameworks for leaders who need to make AI decisions, not just follow AI news. Also runs a great newsletter (see above).
The AI Daily Brief — A reliable daily news roundup. Great for staying current without doing the research yourself.
Tina Huang — AI and coding through the lens of productivity. Her focus is doing more with less effort — which is the whole point.
Futurepedia — Comprehensive tool reviews and tutorials. Most useful when you’re evaluating a specific AI tool and want someone to walk you through it.
The AI Automators — Focused on real-world implementation, not theory. Bridges the gap between “cool demo” and “actually works in production.”
What AI sources are in your rotation? I’m always looking to sharpen the list — drop your recommendations in the comments.