HeyJaredNate’s Substack
Daily newsletters on AI strategy, news, and implementation for practitioners and leaders who are past the hype and ready to build.
- Indexed issues, last 90 days
- 22
- Latest publication
- Sep 30, 2026
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- Earliest in this view
- Aug 14, 2026
Latest issues
Does your work cost less on Opus 5.5 now that its tokens are 20% cheaper? My 3-prompt guide shows which jobs do before you move them. (opens the original)
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With Opus 5.5, I can give the model direction, make a correction, and keep developing the thing I wanted. That sounds ordinary until you’ve spent a session explaining the same requirement repeatedly and wondering why a system this capable is so difficult to work with.The writing is much easier to steer. The visual work is extraordinary. I’m seeing efficiency improvements that make me think differently about how much I can get done with the intelligence I’m paying for.There is a lot of intelligen
What are you still paying for that you meant to cancel? I handed mine to an AI assistant: $1,285 a year cancelled so far. The prompt guide for the tedious part of yours. (opens the original)
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I’ll bet you’re still paying for something because canceling it has never made it to the top of your day. Getting into the account, figuring out the rules, and dealing with whatever happens next keeps losing to work, dinner, or a child who needs something.So you keep paying. Your bank statement records a decision that you haven’t really made again in months.I’m guilty of this too. I asked Muse, Meta’s new AI assistant, to work through my subscriptions. It identified $5,350 a year in subscription
Executive Briefing: You Bought Better Tools and Your Finished Work Still Waits (opens the original)
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Somebody on your team has figured something out.They’re using agents in a way that looks different from what everybody else is doing. They have several pieces of work moving at once. They come back from lunch and a problem that used to take the afternoon is ready to review. They spend money on tokens without apologizing for it, because they can point to what they got back.And the team is still behind.That combination is going to become familiar. One person’s capacity can change much faster than
Inside NVIDIA: What a world model actually is, and how it connects to the LLM you already use. (opens the original)
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NVIDIA builds tools for developers.That is the place to start if you want to understand why a company most people associate with chips is building models that can help simulate a factory, predict what happens when a robot moves, or generate actions for a machine.I went to NVIDIA last week to talk with Ming-Yu Liu, the vice president of Cosmos Lab. Cosmos is NVIDIA’s world-model effort. Early in our conversation, Ming-Yu explained the relationship between NVIDIA’s computers and everything the com
Your agent is giving you reasonable answers from half your context. A conversation with OpenAI. (opens the original)
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When I asked which teams inside OpenAI had crossed over after software engineering, legal came up early.In my conversation with Andrew, who leads the team behind OpenAI’s Codex desktop app, and Akshay, who leads OpenAI’s productivity and engineering work, they described different functions reaching a point where AI became useful for much more of their jobs. Coding came first, because everything was already a local CLI. Legal was next, because the material was sitting in documents the model could
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