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Daily Briefing — April 28, 2026


01

The Man Behind AlphaGo Thinks AI Is Taking the Wrong Path

Wired →
Tech shifts + Career & skills

David Silver, the DeepMind researcher who built AlphaGo and watched it beat the world's best Go players back in 2016, has a new company and a pretty pointed opinion about where the AI industry is headed. The company is called Ineffable Intelligence, and its whole bet is on reinforcement learning, the approach where models figure things out through trial and error rather than by absorbing what humans have already written down.

His argument against the current LLM obsession is actually worth sitting with for a moment. Large language models, for all the hype, are essentially very sophisticated mirrors. They reflect human knowledge back at you. Silver thinks that ceiling is real, and that chasing superintelligence through better autocomplete is a dead end.

Silver is not some contrarian on a podcast. He helped create one of the most credible early demonstrations of AI doing something genuinely beyond human capability. When someone with that track record says the industry is on the wrong path, it deserves more than a scroll and a shrug.

SO WHAT

If our understanding of AI stops at prompt engineering and LLM workflows, we may be building fluency in a dialect that gets overtaken before we know it. The tools we are betting on today, the ones everyone is rushing to put on their resume, may not be the paradigm that defines the next decade of AI.


02

How one of the world’s top AI voices uses Claude Code to run her day

Fast Company Tech →
What to do + Career & skills

Allie K. Miller, one of the most followed AI voices on the planet with over 1.6 million LinkedIn followers, has basically turned Claude Code into a full time employee that starts its shift before her alarm goes off. She runs multiple instances of the tool simultaneously in separate terminals, each one chewing through tasks autonomously because they have direct access to her filesystem. The setup is not theoretical. It is operational, daily, and producing real output.

Miller is using a feature called Skills to tell Claude Code her specific workflows, so the system can repeat complex multistep processes without her having to babysit each one. The results include an overnight email digest that surfaces only the urgent stuff and a morning calendar briefing that actually tells her when to breathe between back to back client calls.

SO WHAT

If you are still using AI reactively, one prompt at a time, you are leaving the most valuable part of it completely untouched, and the people competing with you for the next opportunity probably are not. Pick one repetitive task you do every morning and spend 30 minutes today mapping out each step in writing, because that written breakdown is exactly what you would need to start turning it into an automated workflow, whether with Claude Code or any other agentic tool.