When it comes to AI, there are 1) lots of people doing practical things with AI and 2) lots of people writing about AI. They rarely overlap. 🙂 

But overlap they do in this post! For those of you not doing practical things with AI, skip to the second section.

1) Here’s a bunch of links for people who are doing practical things with AI:

• Much is written about models these days, which makes sense since it is a rapidly changing part of technical AI. For example:
  • I like this since I run LLMs on my Mac: Best Local LLMs for Mac in 2026 — M1, M2, M3, M4 Tested | InsiderLLM – insiderllm.com
  • I use Ollama to run my models, so I liked this too: Top 10 Ollama Models: What They’re Good For and What You Need to Run Them 
  • This is a big development: 1M context is now generally available for Opus 4.6 and Sonnet 4.6 | Claude. It’s amazing how much a big context window helps.
  • This was fun: Introducing talkie: a 13B vintage language model from 1930. Ok not all that practical, but …fun! 
  • What does the great computer scientist Knuth think of Claude? That paper he wrote will tell you.
  • A good piece on different models when it comes to writing: The Creative Gap: Models Split on Writing – makerpulse.ai
  • Really there is so much being written about models. For instance:
    •  Flash Matches Sonnet on Tasks. Costs 8x Less.
    • AI Cost Map: Where 10 Models Actually Land 
    • Claude Opus 4.6: Anthropic’s powerful model for coding, agents, and enterprise workflows is now available in Microsoft Foundry
• On IBM Bob,  a tool I use a lot: IBM Gets Bob 1.0 Off The Ground
• A good piece on how COBOL and AI‘s use with it:
  • Can Claude Code Really Understand COBOL Applications?
  • Relatedly, IBM weighs in on the topic: Lost in Translation: What the AI code debate keeps getting wrong 
• Agentic AI is the hot space and has much focus, so here are some agentic AI pieces:
  • • What is Agentic AI? | IBM
    • The Ultimate Beginners’ Guide to Building an AI Agent in Python
    • Another Agentic AI Tutorial
    • A.I. Agents: They’re Fun. They’re Useful. But Don’t Give Them the Credit Card. True dat.
• Finally, Rabbit R1’s OpenClaw Update Could Be Its Most Important Moment Yet – Yanko Design
  

• On AI and jobs, so much is being written. Take a look:
  •  America Isn’t Ready for What AI Will Do to Jobs – The Atlantic
  • Can A.I. Already Do Your Job? – The New York Times
  • Google’s AI Is Really Confused About Fish and the Days of the Week – Opus (ok not really about jobs but perhaps a good omen)
  • Coding After Coders: The End of Computer Programming as We Know It
  • The A.I. Disruption Has Arrived, and It Sure Is Fun – The New York Times
  • This job has become the ultimate case study for why AI won’t replace human workers – CTVNews
  • IBM will hire your entry-level talent in the age of AI | TechCrunch
  • Vibe Coding Is Draining the Libraries You Depend On 

• Some pieces on OpenAI:
• How will OpenAI compete? — Benedict Evans – www.ben-evans.com
  • • OpenAI is huge in India. Its models are steeped in caste bias.
    • OpenAI Is Making the Mistakes Facebook Made. I Quit.

• Finally,
  • I thought this is well done: The Star tried something with AI we had never done before
  • Lots of people mocked Marc A for this, and rightly so: Analyzing That Controversial Super Prompt For Controlling AI That Billionaire Marc Andreessen Posted
    
  • AI is giving security folks lots of reasons to lose sleep: OpenClaw gives users yet another reason to be freaked out about security – Ars Technica
  • Yeah, probably not a good idea: Amazon is determined to use AI for everything – even when it slows down work
  • Also not good: Here’s how Israel is using artificial intelligence to find targets in Gaza and Moltbook was peak AI theater | MIT Technology Review