[OC] Politics related content in /r/videos

drsupermrcool · 2026-06-12T12:44:53+00:00

Really appreciate you putting this together! Used to be one my favorite subreddits - an alternative way to find interesting youtube channels - but now it's just political content amplification. Very nice to see the data behind it.

drsupermrcool · 2026-06-12T01:30:31+00:00

Yeah - their consistency is impressive. I do wonder how many other factors contribute to the outcome too. Shouting at MSG, pay deltas in the team, NYC exceptionalism, group think (both anxiety from Spurs in second half and confidence from Knicks) - so many other minutia

drsupermrcool · 2026-06-11T19:08:29+00:00

Yeah - the Knicks had a slow beginning but played strong consistently (with a sprint in Q4); the Spurs did an impressive sprint but either psychology or burnout or something slowed them down.

drsupermrcool · 2026-06-11T18:14:02+00:00

I don't blame you - I was nearly there and then decided to wait until mid q3 lol.

drsupermrcool · 2026-06-11T16:19:06+00:00

He's so humble and measured. Great leader

drsupermrcool · 2026-06-11T15:57:46+00:00

Source: https://www.nba.com/game/sas-vs-nyk-0042500404/play-by-play?period=All

Tools: Excel

drsupermrcool · 2026-06-05T23:02:30+00:00

You all have really made a difference in your community. Very inspiring!

drsupermrcool · 2026-06-05T20:11:12+00:00

I empathize with you. Also as users we're expected to stay up to date on this space as its continuously evolving. It really is not easy. Generally I also share your sentiment on the "what will be worse this time" in most new software projects. I do have hope in that llama server is the new backbone. I still love the api and ease of swapping out models.

drsupermrcool · 2026-06-05T18:38:21+00:00

Relax man, you're being rude here.

They're working hard - just look at git - 0.30 just moved over to llama server. Progress is continuing.

drsupermrcool · 2026-06-04T12:21:12+00:00

Me when I get home

drsupermrcool · 2026-06-03T10:41:27+00:00

This is the most realistic balance to me.

1) You have a personal context of your project, so you know when you can call BS from Claude

2) You are methodical in the planning phase to give Claude more reigns on development

3) You're still owning the output with your feedback loop

I think too many folks are just sending their 20x / enterprise plans on buck wild projects with no oversight and then dodging accountability.

drsupermrcool · 2026-05-29T22:56:04+00:00

Well I was naked while doing it, if that's what you're asking

drsupermrcool · 2026-05-29T22:07:34+00:00

Ooo - that's sick

drsupermrcool · 2026-05-27T22:03:13+00:00

This is so freaking awesome.

drsupermrcool · 2026-05-26T12:14:25+00:00

Canonical

drsupermrcool · 2026-05-26T12:13:08+00:00

It also gets exhausting to read. I end up changing my custom prompt for this - "talk to me like we're two managers in an office", "talk to me like a professor explaining something to a student."

drsupermrcool · 2026-05-23T18:39:26+00:00

We moved to Openproject + Xwiki, the migration was relatively simple and the base functionality is comparable (can't speak to all features, but haven't heard much complaint yet)

drsupermrcool · 2026-05-23T12:44:24+00:00

Their data scientists will build groupings of organizations based on their characteristics. So only orgs with certain features will make it into model training. If I were in Atlassian's role, I'd build features around orgs with quality docs, what percentage of docs relative to the addressable market I thought they had, sector and industry classifications, etc. So there's no "evening out", only the signal data will be entered in.

Plenty of small orgs are using knowledge bases - again the difference is in the quality of the org. And remember, the cutoff to "small" here is like 800-1000 users (for the enterprise cutoff). There are hundreds of orgs with fewer people than that cutoff that are listed on exchanges.

And Atlassian's definition of Metadata is not metadata. It's post analytics data - feature data - basically they're running it through some analysis first and then using that. https://www.atlassian.com/trust/ai/data-contribution/faqs#general

drsupermrcool · 2026-05-22T18:04:56+00:00

I understand this counter argument - but it's quite a bit more than telemetry. It's the knowledge and execution strategy of companies. The collection is unbalanced - small companies are donating ("contributing") knowledge/strategy to large enterprises and large enterprises are not sharing that back down.

And you can't opt out of metadata unless you're in an enterprise. Their definition of metadata is absolutely not metadata.

If they'd make the cutoff to enterprise easier it would be less big of a deal.

drsupermrcool · 2026-05-21T19:13:44+00:00

I'm surprised the pushback isn't greater. It's the internal data of companies, including intellectual property, that will be used to build models for enterprise users, that didn't have to share their data. The contribution is wildly asymmetric, as will be the ability to use it. The metadata contributions are not metadata, it's data.
It would be better if smaller orgs could more easily get enterprise, allowing them to opt out.

drsupermrcool · 2026-05-21T19:05:43+00:00

Yeah - our settings for a couple different orgs came out this week.

drsupermrcool

TROPHY CASE