Notes
Quick thoughts, links, and pictures. RSS
Skin in the game
It's good to have a little skin in the game of life. So I want to make some predictions.
1. Right now AI models are sufficiently new and powerful enough that the government is stepping in. We will suffer through this for another couple of years and then largely get over it. It's new, but we've seen this song and dance with internet technologies before. Intelligence will be abundant and we will adjust.
2. Local models and open-weight models will get better, more capable, and cheaper, but so will frontier. That doesn't seem to be slowing down yet, and I don't think it will for a while. This will lead to more specialized models we run for specific use cases. For example, I'd love a great local linux devsecops model that I just have run/guard my linux machines.
3. Data continues to be the moat. What you have that no one else does and what you aggregate and manage for AIs will matter more than legacy software features. For SaaS, especially, this is all that matters. Features are a commodity now.
4. We have AGI and the world hasn't ended yet. This tells us that it's less about intelligence and more about harnessing it. Right now everything else is catching up. It will happen quickly, but that's the bottleneck right now.
5. The AI boom is forcing us to invest in critical infrastructure at just the right time. We will end up benefiting more from second-order effects of abundant cheap power than we will from AI by itself. At the end of the day, power is everything to societies.
It's good to have a little skin in the game of life. So I want to make some predictions.
1. Right now AI models are sufficiently new and powerful enough that the government is stepping in. We will suffer through this for another couple of years and then largely get over it. It's new, but we've seen this song and dance with internet technologies before. Intelligence will be abundant and we will adjust.
2. Local models and open-weight models will get better, more capable, and cheaper, but so will frontier. That doesn't seem to be slowing down yet, and I don't think it will for a while. This will lead to more specialized models we run for specific use cases. For example, I'd love a great local linux devsecops model that I just have run/guard my linux machines.
3. Data continues to be the moat. What you have that no one else does and what you aggregate and manage for AIs will matter more than legacy software features. For SaaS, especially, this is all that matters. Features are a commodity now.
4. We have AGI and the world hasn't ended yet. This tells us that it's less about intelligence and more about harnessing it. Right now everything else is catching up. It will happen quickly, but that's the bottleneck right now.
5. The AI boom is forcing us to invest in critical infrastructure at just the right time. We will end up benefiting more from second-order effects of abundant cheap power than we will from AI by itself. At the end of the day, power is everything to societies.
Image set1 image · open to inspect
So let’s do a little write-up of how this web app works. Here’s a screenshot of the authoring page. You’re reading this from the notes feed page.
I have the new note option saved as a bookmark to easily pull it up and jot a note down.
I added some quality-of-life features. First is a generative AI illustration option using gpt-image-2. This lets me quickly add images to flesh out text.
Second is a tool to catch errors before they go out. This uses gpt-5.4-mini. I use it to fix spelling and basic grammar.
I also use it to add alt text automatically to images.
I have “infinite” scroll built out. There’s also RSS because I’m old school like that.
It’s all hosted on Cloudflare.
And that’s it so far! It’s been fun building it as I ran into friction or thought of new things to build in. I’m sure I’ll add more as I use it more, but for now that’s where I’ve gotten to today.
I have the new note option saved as a bookmark to easily pull it up and jot a note down.
I added some quality-of-life features. First is a generative AI illustration option using gpt-image-2. This lets me quickly add images to flesh out text.
Second is a tool to catch errors before they go out. This uses gpt-5.4-mini. I use it to fix spelling and basic grammar.
I also use it to add alt text automatically to images.
I have “infinite” scroll built out. There’s also RSS because I’m old school like that.
It’s all hosted on Cloudflare.
And that’s it so far! It’s been fun building it as I ran into friction or thought of new things to build in. I’m sure I’ll add more as I use it more, but for now that’s where I’ve gotten to today.
Image set1 image · open to inspect
I love projects like these. I honestly love logs and SIEMs. It wouldn’t hurt my feelings to work on a big SIEM product one day.

blog.nano.rs
Introducing nano | nano blog — nano / blog
nano is a lightweight SIEM in Rust on ClickHouse, with a piped query language, a real detection lifecycle, and AI that does actual investigation work. Here is what it is and why every piece is the way it is.
Thariq's insight on the usefulness of html artifacts matches my own experience with my work. I have used them a great deal lately to great effect.

x.com
Thariq (@trq212) on X
https://t.co/MXt5XS4xBX