AI News & Strategy Daily with Nate B. Jones

Reverse Engineer Anything(REA) is more useful than a shortcut for copying apps. Nate explores how inspecting real software can reveal the requirements, relationships, and edge cases behind the interface—and help you explain what your own software should do.Examples include authenticator codes, Notion copy and paste, Windows Calculator percentages, accounting behavior, and game mechanics. The practical takeaway: investigate a behavior, predict its result, and build checks that show whether you understood it. Hosted on Acast. See acast.com/privacy for more information.

For deeper playbooks and analysis: https://natesnewsletter.substack.com/What does superhuman performance in mathematics tell us about the future of work? Nate examines OpenAI's mathematical research release and why strong performance in one domain does not automatically transfer to software engineering or business judgment.Why checkable mathematical results differ from maintainable software.How a document-search feature can pass tests and still create a privacy problem.Why discovering the right question matters as much as generating an answer.What focus, experience, and the desire to make an impact still contribute.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information. Hosted on Acast. See acast.com/privacy for more information.

For deeper playbooks and analysis: https://natesnewsletter.substack.com/What can you take on now that AI can help with more of the work? Nate revisits five human qualities that become more useful as AI grows more capable: taste, agency, focus, resourcefulness, and follow-through.How taste turns care about a problem into something you can build and test.Why agency means making an attempt and learning from it.What sustained focus contributes when starting new projects gets easier.How resourcefulness helps you keep the intent while changing tools.Why shipping a first version is only part of finishing the job.For builders and leaders making plans for 2027, the practical question is which previously ruled-out project deserves another look—and what it would take to make it useful to someone.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information. Hosted on Acast. See acast.com/privacy for more information.

For deeper playbooks and analysis: https://natesnewsletter.substack.com/What is your work actually worth—and who gets paid when its records are sold? Nate examines the proposed sale of Spirit Airlines data and the broader market for company records used to train AI agents.He distinguishes the work that creates value from the messages, documents, and presentations left behind. Through an invoice example, he asks who defines a task as done, what simulations can teach agents, and how workers and employers can preserve the context that makes work useful.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information. Hosted on Acast. See acast.com/privacy for more information.

For deeper playbooks and analysis: https://natesnewsletter.substack.com/Can Google and Meta actually catch up in AI? Nate argues that customer obsession is becoming the new benchmark. He looks at who the major labs serve, how dots and Muse complement each other, and why useful product experiences matter more than leaderboard positions.From sorting a personal library to helping people manage everyday tasks, the next opportunity belongs to builders who understand their customers and use the products they sell.Subscribe for daily AI strategy and news.Hosted on Acast. See acast.com/privacy for more information. Hosted on Acast. See acast.com/privacy for more information.