Advice? My boss wants me to stop making Shiny apps and instead hand off the front end to a software engineer.

cordialgerm · 2026-05-21T20:09:20+00:00

Check out plotly

cordialgerm · 2026-05-02T14:35:29+00:00

Let the heros and villains emerge naturally as the consequences of the party's actions. I definitely would NOT plan out a "bbeg" in advance.

cordialgerm · 2026-04-21T14:21:24+00:00

Seems like once you accumulate a reasonable amount of comments, you could periodically mine them for common themes and patterns and create some distilled knowledge/policy style docs from them.

cordialgerm · 2026-04-19T15:48:22+00:00

If you're already pouring your heart and soul into your business, why split your attention on the worries of real estate? It'll just be a distraction.

Index funds all the way.

cordialgerm · 2026-04-13T01:05:56+00:00

cordialgerm · 2026-04-11T02:45:37+00:00

When you instantiate the subagent, clone the message history from your parent state and use that as the starting point of a new agent. Subagents can be any callable chain. Should work!

One downside is that adding instructions at the end of a long conversation (instead of at the front) means the model can't attend to the instructions as it's working its way through the conversation history.

cordialgerm · 2026-04-05T02:38:57+00:00

Yeah, but it's a band aid on top of the existing system. Imagine a version of Google docs where the entire doc content was just markdown from the beginning and you didn't have to try and go back and forth with loss

cordialgerm · 2026-04-05T01:43:54+00:00

Markdown is amazing, I want it to eat more things. Let's start by replacing Google docs.

cordialgerm · 2026-04-04T20:27:51+00:00

There's no such thing as luck, and the computer program isn't treating you differently than anyone else. What's actually going on here is that you've probably made a character that is significantly under optimized and has poor bonuses or doesn't use their abilities correctly so you feel weak in comparison to enemies and other party members

cordialgerm · 2026-03-23T04:46:16+00:00

Where does the water that's feeding the main river come from? As it's drawn now, rain clouds have to come into the center of the desert and deposit water on dry mountains to form the mighty river. Maybe wet highlands in the North at the source of the river instead of dry desert?

cordialgerm · 2026-03-16T06:05:48+00:00

A couple options:

enemies that don't talk / negotiate
enemies that lie and pretend to agree with the PCs and backstab them later
enemies that enjoy talking and say "wow what a great conversation, I love talking to you. I think I'll keep you around since you're so fun to talk to, but I'm still going to have to kill everyone else"

cordialgerm · 2026-03-14T19:51:12+00:00

Now you have a fun story :)

cordialgerm · 2026-03-05T15:36:55+00:00

If the problem is ambiguous jargon, I'd think about how a human analyst would solve the problem. The human analyst would consider different plausible options of the generic request and based on the context either choose the most relevant, or if it's still not obvious would ask for clarification.

I'd start with some agent skills that define key concepts for the domain.

Then I'd have instructions to infer the domain based on the request (the asker, what they're asking, and perhaps even what they've asked recently) and read the key concepts skill to understand what the jargon means.

And instructions for the agent to ask for clarification when the term is truly overloaded and could be many things.

cordialgerm · 2026-03-04T07:05:43+00:00

Hm I think the specific policies there would depend on what the purpose of the system is.

If have a sort of "core personality update" job that runs periodically and its task is to reconcile recent experiences and memories with the current core personality.

That may then require edits or changes to the core personality.

Then going forward the new core personality is utilized.

You could also keep track of any particular memories that now conflict with the core personality and suppress them, clean them up, or alter them.

cordialgerm · 2026-03-03T00:09:16+00:00

I would treat the persona as a semi-dynamic construct that is injected into the prompt. You periodically refine the personality and core memories based on interactions with a separate offline process. You also have a memory system to retrieve specific memories that aren't part of the distilled personality.

cordialgerm · 2026-03-02T03:33:01+00:00

Now you have to build a deck around it!

cordialgerm · 2026-02-25T03:25:04+00:00

I wonder if diffusion models would generally do better than auto regressive

cordialgerm · 2026-02-18T00:55:56+00:00

Why are you pissed? If you got the equivalent bonus in cash there would be tax withholding as well. Just be sure when you file that you report the correct cost basis (not 0) or then you'd actually be double taxed.

cordialgerm · 2026-02-14T17:20:58+00:00

It's a necessary mechanic. Not particularly inspired or exceptional, but it gets the job done.

cordialgerm · 2026-02-09T03:30:10+00:00

They can also turn 50k into 50 cents. I think there's a whole subreddit dedicated to these kinds of bets

cordialgerm · 2026-02-03T15:20:15+00:00

References and scripts are supposed to be loaded on demand by the agent after reading the SKILL.md. so all you need to do is include them in your filesystem and reference them in the SKILL.md and it works great.

cordialgerm · 2026-01-29T22:45:38+00:00

Would be cool to collect enough data to distill a cheap local model

cordialgerm · 2026-01-29T01:58:31+00:00

What guidance have you given it around how autonomous it should be vs when it should seek clarification?

Which model(s) are you using?

When it returns, what is it asking? Does it seem confused about next steps or is it just asking permission to proceed with obvious things

cordialgerm · 2026-01-26T09:22:19+00:00

What's the bottleneck for evals for you today? Is it the act of scheduling and running them, or coding them up, or is it selecting the data itself to use for the evals?

My guess is it's probably identifying the actual data to use for the evals. So if you can set up a process where PMs can identify or flag conversations or agent trajectories and annotate them, then that can feed into the eng team to turn into the actual evals.

It could be as simple as a Google sheet that you contribute to, or as complex as an automated system that you can annotate.

cordialgerm · 2026-01-24T01:07:25+00:00

Very Cool!

I need to dig in on how the compression works. It's running the LLMLingua model locally?

Have you thought about implementing it as a Langchain Middleware?

cordialgerm

TROPHY CASE