1,161 karma · joined June 29, 2011
- sincerely, Therapist
- It does so by providing a library and CLI which is labeled “idempotent”, and I think I saw the term deterministic in there as well.
- That cli is built using Clojure, and there are also python and typescript implementations: these are named “green”, “blue“, and “red” for some reason.
- (the interesting part) The library ties together some Clojure/Datomic-isms (EDN graph to define the infra state, and the template library Selmer), some Emacs-isms (advice, to wrap nodes in the graph to add behavior), and some UNIX-isms (exit codes for graph steps) which is all used to implement graph execution in an environment where you may need parallelism, conditional fanout, failure handling etc because you are provisioning real things in real life and there are many unknowables.
TFA documents additional agent skills designed to use the tool for provisioning/managing some specific infra stacks (like zookeeper plus whatever). Which is the least interesting thing about this.
I’m not sure if your bot is like this, but my understanding is that many of them are - and they interfere with the other shoppers and generally change the economics of it.
I think you are on the right side of this, but you are almost indistinguishable from the negative case.
From reading TT, it seems there’s just no easy solution to complexity if we want interoperability.
I didn’t hate lightning cables…
You can’t “convert the sheer scale of our audience into known, orchestrated first-party relationships” without compromising your privacy.
It’s not open source, and costs a few bucks, but it works well and has live Claude/Codex/etc notifications if you are willing to install a hook daemon on your hosts with homebrew. I was looking for batteries-included “code from my iPhone” after trying a bunch of self-hosted stuff, now I connect to my Macs over Tailscale and get dropped right into multiplexer sessions with rich status notifications.
This would actually work very well - until context goes into latent space, becomes a server-side resource, and we lose sovereignty over our data. Tools like Pi and Openclaw are showing that other options exist to decouple us from the LLM provider frontend experiences, not just for orchestration and use case diversity but for pluggable memory designs.
Yes, I worked on a related project, no I don’t want you to use those memories to make assumptions which emerge as decisions that I didn’t want. With reasoning traces hidden, I am sometimes not even sure if it used those memories or just independently decided that PCI-DSS subsection-whatever is somehow relevant to this PR that has the word “credit”.
There is no way for me to fully configure memory preferences at a granularity which would be useful, and so I continue to use context files (and other tools, sometimes) to ensure the right memories are stored and surfaced at the right times.
There’s a lot of room for agent memory improvement across the ecosystem, and I don’t think the LLM providers should try to own this vertical slice. This will never happen though, because it makes us “sticky”.
Or maybe I’m holding it wrong.
Some feedback on the pivot, from a user. Reading through the recent blog entries, there’s some Very Neat Stuff mentioned that integrates Sprites into tools like Hermes. I excitedly dug right in, to find that they aren’t anything usable, and the Hermes PR needs work. More salient though, that months-old Hermes PR *needs attention* if this is now your #1 business priority. Same goes for umpteen other integrations to shove the Sprites model (which is unique) into the popular agent harnesses.
I tried Sprites when sandboxes were peak exciting, and “yes I can ssh into this and run Claude” was useful but not groundbreaking. From the docs I’ve just read, I was holding it wrong, not taking advantage of its differentiating features. Great, ^H ooh look, mythos, shiny … and now it’s almost August.
And so honestly - despite my appreciation of Fly - with the firehose of Cool Shit, I don’t have the time or the inclination to learn how to hold it. Instead I want a skill/plugin/integration/llms.txt/sumerian tablet that I can give to my LLM to do that “multi-user auth and don’t worry about it you’ve got checkpoints” stuff for me. And I need this before I make any choices about investing in this thing over Bubblewrap or a VPS or the 100 other frictionless zero-knowledge sandboxy things that I am using already. Maybe you have this, and this is PEBKAC. Wouldn’t be the first time.
I called my window contractor this week, I need new skylights. Instead Janet answering, they now use an AI operator-lead-generator thing.
After a few of minutes of answering questions, I just hung up. I’m unsure why, I don’t miss Janet or even genuinely like talking to people, and Im definitely not anti-AI. I just intensely disliked the experience, enough to walk away from a vendor with whom I’ve done tens of $ks in business (I found another window guy).
The mouth-tapers aren’t always wrong (though we do always look silly).
For this reason (and others) I pay for both Team and Personal LLM plans, use a diversity of them for specific purposes, and use some LLMs very carefully; if I were to lose access to Gmail for Gemini wrongthink, it would be personally devastating.
https://github.com/markomarkovic/nena-ilo-lili/blob/main/doc...
In the past, when you saw a new term of art it came from some book being passed around leadership (like Architect Elevator) or some new training program. “Platform mindset”, “Shift-left everything” etc.
These days, they are all coming from LLMs. You can probably infer which contracts we have from the wording of all-hands messages.
I even LIKE “shape”, it’s nice and generic and everyone immediately understands it. I just see it as an obvious low-impact brainwashing, and wonder what other effects there are that we don’t notice.
Claude just followed the instructions. Which is maybe even more risky?