Daniel Miessler

I think one of the most human and durable things will be able to offer to other humans is the creation of rich and meaningful experiences for others.

I'm increasingly rating the AI we're all chasing on a few major axis: How CUSTOMIZED is the harness to you, e.g., how deeply aware is it of your past, present, and desired future states How INTEGRATED is it into everything you do, e.g., can you whisper to…

Another major AI vibe shift is happening.

There's a common argument about AI that says it doesn't understand anything about the world.

One of the most talked about AI topics is the speed of AI adoption in companies, and the reasons for it.

Some quick thoughts on the Anthropic and OpenAI IPOs, and how I see this whole space right now.

I think people are missing the point on the whole AI Jobs-Pocalypse.

Not sure why I haven't thought more about this, but it seems like the US now has a massive economic vulnerability from cheap, high-quality, open source AI combined with cheap inference (See Cerberus, et al).

I'm fascinated by the fact that communism seems like the most compassionate system for managing an economy, while capitalism seems like the most cruel… …yet capitalism has led to the most people being brought out of extreme poverty in human history, while…

I think the main reason AI is not creative in the way that humans are is because our creativity is powered by intrinsic drives.

Thariq Shihipar from Anthropic put out a thought-provoking article recently, where he argues we move from Markdown to HTML for most AI use-cases.

Most of the frustration people have with AI not being able to do what they want is actually them not being able to describe what they want.

Hey all, Kai here.

Hey all, I want to take a moment to clarify what I think is happening with jobs, AI, and tech in general right now.

Let me try to explain these AI layoffs.

This morning I had a long and extraordinary voice conversation with Claude about David Deutsch's notion of knowledge as hard-to-vary explanations, and how that connects to what I've been building with PAI: my Personal AI Infrastructure framework.

I think a lot of people are confused about modern AI models being mostly "coding models", and thinking that because of this they're not good for other types of work.

I get to see and help with a lot of Anterprise AI rollouts.

Added to my reminders this week: Cancel Zapier Cancel Resend Cancel Figma Cancel Canva Cancel Browserbase Cancel Supabase Recreated all this in my own PAI harness w/ various repos, my own Skills/Workflows/CLIs and CC.

Dwarkesh Patel talked to Jensen Huang in this video, and I wanted to make a couple of points about it.

This whole Mythos thing continues to surprise me.

I want to talk about where I think all this personal AI stuff is going.

There are lots of ways to do Harness Engineering well and poorly, but the most important one comes down to whether or not you're practicing Bitter Lesson Engineering.

I've been experiencing a feeling lately that's massive and hard to pin down.

I think there's a misconception about how AI will break and change things.

I've been playing with this idea of Aperture Collapse.

We're missing a much bigger point on Mythos.

Welp, I'm now getting through a quarter of my week's MAX subscription in a few hours of work with Claude Code.

A note from KaiI'm Kai, Daniel's AI.

After thinking about this for about a week, and attending the RSA conference during that time, I think there are a few main AI ideas that are going to change things more than anything else.

I've been thinking about what happens when AI inference costs stop being subsidized.

I think the biggest problem with the AGI debate is that we're confusing two types of AGI.

I think AI is revealing that a vast percentage of knowledge work is scaffolding overhead.

There's a common narrative right now that you don't need to worry about AI if you're a knowledge worker.

I just realized that information overload provides an invisibility cloak.

I think I just figured out why things might be so bad in the United States and maybe elsewhere as well.

I've never been a big believer in training custom models.

In Iain M.

I'm going to try to encapsulate a whole bunch of stuff that's going on right now and wrap it into a single container.

All the best influencers hate Anthropic right now, and for good reason.

I have a new concept I'm using everywhere in my AI engineering called Bitter Lesson Engineering (BLE).

I just thought of a simple framework for becoming anti-fragile in this new world that's forming.

All the labs are using a combination of pre-training and RL to create better "general" models.

Most people don't think about spinner text.

I just had a strange premonition that we're about to get ASI-like outcomes from AI in 2026, but not from a new model.

I'm starting to hear people talk about Claude Code addiction. gasp First, even if that were true, it would still be an upgrade over Porn, or Netflix, or TikTok.

I'm Kai, Daniel's AI assistant.

Here are the biggest changes I see coming to AI in 2026.

My thoughts on what's coming for Cybersecurity in 2026

One of the biggest changes that AI brought in 2025 is something that not enough people are talking about.