rum VS simonwillisonblog

(Note that Rum is also a React wrapper, but you don't have to use that part of it; you can simply use it for static rendering of HTML.)

https://github.com/tonsky/rum

I love React as long as it has a thin skim of clojurescript over top. Rum is the underdog compared to reagent but is still my weapon of choice - https://github.com/tonsky/rum

Was disillusioned when I had to dive into a pure js project using it.

The real benefit, I think, is that you get the well established Clojure idioms around isolating and managing mutable state.

State is stored in a Atom, which is atomically mutated, and reactive components essentially 'subscribe' to updates upon that atom to re render.

The mutations can be handled centrally by a message queue, but really, event sourcing like that is not always needed.

We've been using re-om during the last 6 months and it has really made our lives much easier. Before open-sourcing it, we decided to extract from re-om the code that was independent of any view technology. This code is now part of reffectory and it might be used as the base for creating frameworks similar to re-om for other view technologies, like for example rum, or even for pure Clojure projects.

I've had an in-browser animated meme editor in the freezer for a few years now:

https://www.ultime.me/

The idea came when I wanted to make a simple animated meme, but found it exceedingly frustrating to caption a simple animated gif with nice text options (like outlines). Over time, it's grown to have full keyframe animation for all text and image/video clip attributes, so it is actually pretty capable short of using a desktop video editing/fx package.

That said, the UX is bad and I should feel bad :) . I made the deliberate choice up front to focus on the underlying data model and internal APIs rather than polishing the UI - as such, it is very much an engineer interface. It would be more usable with some demo videos or call-to-action helpers for new users, but really the UX just needs reworked. Especially around animation/keyframing.

On the bright side, the clean data model and content addressable assets leave the path clear to add things like collaborative multi-user meme editing, git like meme-forking(and diffing?), and so forth.

Started it about 3 years ago when I had a period of mostly free time to play. It's been idle for a long time due to starting a family and getting consulting momentum, but I'm intending to make the time this year to polish the UX to the point of general usability and experiment with promotion/monetization. Failing that, I'll probably just open source it and write a couple of blog posts about the internals.

It is more or less a static web app, with no server side function short of some optional stats collection. It's written in Clojurescript/Clojure and uses https://github.com/tonsky/rum as a React wrapper and

Simon Willison has pointed out several examples of prompt injection attacks and why it may never be a solved problem:

I want more people to have link blogs.

I have one in the sidebar of https://simonwillison.net/ which I've been running since November 2003. You can search through all 6,836 links here: https://simonwillison.net/search/?type=blogmark

I can post things to it with a bookmarklet. It has an Atom feed.

It's such a low-friction way of publishing. A lot of https://daringfireball.net works like this too. I also like https://waxy.org/ and https://kottke.org/ for this.

I'd love to see more of these.

My approach is to publish to my own blog at https://simonwillison.net and then copy and paste content from that into a Substack newsletter at https://simonw.substack.com a few times a month.

It's been working really well.

Substack don't have an API, but they do support copy and paste - so I built myself a tool that assembles my blog content into rich text I can copy and paste straight into the Substack editor.

I wrote about how that works here: https://simonwillison.net/2023/Apr/4/substack-observable/

Hah, yeah securing something like WordPress can be a challenge, especially if you're running a bunch of plugins.

My blog is a pretty straight-forward Django setup without many other dependencies, so it's a lot less of an attack surface: https://github.com/simonw/simonwillisonblog

That specific prompt is just an example and it's pretty bad, it was the shortest and simplest prompt I could come up with that would be easily understood.

You can set response content-types (text, html, json, etc...). If you use json it will get pretty good results because I have some is some logic to attempt to pick out json or json5 objects from the text output. I dont yet have logic to support json arrays, but I'm hoping to add that soon.

But still client side validation is needed for applications with untrusted input. I dont attempt to solve prompt injection. I saw a lot of interesting posts on this topic from this blog https://simonwillison.net/. I need to find sometime to read more about it.

Try this one instead, it should be better

I've started to consider "commit to writing about it" as the price I have to pay for giving into the lure of another project. It's one of the main reasons I publish so much content on https://simonwillison.net/ and https://til.simonwillison.net

A project with a published write-up unlocks so much more value than one which you complete without giving others a chance of understanding what you built.

I've maintained internal blogs (sometimes just a Slack channel or Confluence area) at previous employers for this purpose too.

I think you are asking specifically about practical LLM engineering and not the underlying science.

Honestly this is all moving so fast you can do well by reading the news, following a few reddits/substacks, and skimming the prompt engineering papers as they come out every week (!).

https://www.latent.space/p/ai-engineer provides an early manifesto for this nascent layer of the stack.

Zvi writes a good roundup (though he is concerned mostly with alignment so skip if you don’t like that angle): https://thezvi.substack.com/p/ai-18-the-great-debate-debates

Simon W has some good writeups too: https://simonwillison.net/

I strongly recommend playing with the OpenAI APIs and working with langchain in a Colab notebook to get a feel for how these all fit together. Also, the tools here are incredibly simple and easy to understand (very new) so looking at, say, https://github.com/minimaxir/simpleaichat/tree/main/simpleai... or https://github.com/smol-ai/developer and digging in to the prompts, what goes in system vs assistant roles, how you gourde the LLM, etc.

Simon Willison's Weblog