Anthropic engineer Thariq Shihipar switches to Claude-generated HTML

LLM Wikis + HTML Artifacts are insanely powerful.

You should seriously consider this in your workflows.

LLM Wikis captures all the important information that lets you and your agents do meaningful work.

HTML artifacts present that information in interesting ways that allow you to take important actions along with your agents.

My HTML artifacts sit on top of my LLM wikis. They are dynamic and are easily extended as needs arise.

I have hooked my Artifacts to talk to my agents, and similarly, the agents can talk to artifacts.

This has allowed me to build powerful artifacts that reduce my inbox to zero, keep me updated on any topic of interest, fast prototyping, do deep research, design/trigger new experiments, generate figures to improve understanding, schedule research, search relevant information, discover topics, and so much more.

What you see in the clip is not a website. It's a simple interactive HTML artifact.

HTML artifacts are useful for designers, engineers, researchers, students, and anyone working with agents.

Lastly, HTML doesn't replace Markdown. They are a much better combination working together.

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.

More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:

1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations

Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral

There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.

TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

LLM Wikis + HTML Artifacts are insanely powerful.

You should seriously consider this in your workflows.

LLM Wikis captures all the important information that lets you and your agents do meaningful work.

HTML artifacts present that information in interesting ways that allow you to take important actions along with your agents.

My HTML artifacts sit on top of my LLM wikis. They are dynamic and are easily extended as needs arise.

I have hooked my Artifacts to talk to my agents, and similarly, the agents can talk to artifacts.

This has allowed me to build powerful artifacts that reduce my inbox to zero, keep me updated on any topic of interest, fast prototyping, do deep research, design/trigger new experiments, generate figures to improve understanding, schedule research, search relevant information, discover topics, and so much more.

What you see in the clip is not a website. It's a simple interactive HTML artifact.

HTML artifacts are useful for designers, engineers, researchers, students, and anyone working with agents.

Lastly, HTML doesn't replace Markdown. They are a much better combination working together.

LLM Wikis + HTML Artifacts are insanely powerful.

You should seriously consider this in your workflows.

LLM Wikis captures all the important information that lets you and your agents do meaningful work.

HTML artifacts present that information in interesting ways that allow you to take important actions along with your agents.

My HTML artifacts sit on top of my LLM wikis. They are dynamic and are easily extended as needs arise.

I have hooked my Artifacts to talk to my agents, and similarly, the agents can talk to artifacts.

This has allowed me to build powerful artifacts that reduce my inbox to zero, keep me updated on any topic of interest, fast prototyping, do deep research, design/trigger new experiments, generate figures to improve understanding, schedule research, search relevant information, discover topics, and so much more.

What you see in the clip is not a website. It's a simple interactive HTML artifact.

HTML artifacts are useful for designers, engineers, researchers, students, and anyone working with agents.

Lastly, HTML doesn't replace Markdown. They are a much better combination working together.

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.

More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:

1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations

Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral

There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.

TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

Hacker News → LLM Artifact

I built the most personalized HN feed.

It only tracks topics I do research around based on memory and LLM wiki.

No point in storing bookmarks.

With a few automations, rules, skills, and proactive agents, you can make the feed whatever you want.