Avatar
Lez
cfd7df62799a22e384a4ab5da8c4026c875b119d0f47c2716b20cdac9cc1f1a6
Inventor of nsite, building tribewiki.org. Biohacker.

nostr:npub1l5sga6xg72phsz5422ykujprejwud075ggrr3z2hwyrfgr7eylqstegx9z nostr:npub1m3xdppkd0njmrqe2ma8a6ys39zvgp5k8u22mev8xsnqp4nh80srqhqa5sf I'm also building on asciidoc, and I just got to the point where I'm busy disabling / hiding asciidoc features in order to ship in time. I had my asciidoc moment.

Have you had this experience?

Let's ignore the weaponized pathogens created at Fort Dietrich for now :)

cistus incanus tea

NAC

ganoderma lucidum

mms

serrapeptase

vitamin D, 50,000 IU for 2 days

Vitamin C, non-GMO, up to bowel tolerance

Propolis

But it all comes down to finding out the category of the cause (virus/bacteria/fungi/parasite) and target more directly that category.

Red – Colour of passion

Orange – Colour of freedom

Yellow – Colour of hope

Light green – Colour of peace

Dark green – Colour of love

Blue – Colour of joy

Indigo – Colour of understanding

Purple – Colour of confidence

Magenta – Colour of harmony

Turquoise – Colour of wholeness

https://www.kiscience.com/product/coloured-glasses/

What do you think of this?

https://github.com/lez/nipls/blob/main/tribe.md

It's similar to NIP-29, but the logic is on the client side.

It doesn't do private communities yet, but expect some releases coming out soon.

A wiki edited by a community (tribe) is in the works.

Setting up my Librewolf

Replying to Avatar Sync

But there is the 0.001% who manages to escape it.

Good question! But you know the answer! :)

Haha it reminds me mentioning in a job interview that I picked up history as a hobby. I remember the look. I realized the mistake.

Hell they didn't employ me, explained it with 'cultural differences'.

Girl had her contracts cancelled because she wouldn't change the lyrics.

Was offered to be a superstar, instead she stuck with her truth.

Saylor calls her poor, I call her hero.

Enjoy!

https://www.youtube.com/watch?v=y29kmnhjtc8

Replying to Avatar Five

## Why I am sidelining DVMs for now

When I started to grow tired of random posts on nostr I had a plan to create a DVM to tackle the problem of noise. I wanted a feed that caters to people like me in it for the professional discussions and meaningful FOSS work.

I used the LLM approach because simple hashtag parsing can only do so much. First I thought I would fine-tune a BERT-like model that should be easier to self-host. It turned out to be a harder goal to achieve than I expected.

I wanted to use GPT4-o to help me generate data for the fine-tuning. Sadly that was a bummer. It screwed me over so many times with garbage, I got exhausted.

Then I downloaded a bunch of high-rated stackexchange posts to be clustered and used for the fine-tuning.

This already took me more time than I wanted and realized that for a PoC I might as well use openai api. So did that and started experimenting with different prompts for GPT4-o mini.

In the meantime I got acquainted with the python based nostr-dvm framework and setup the basics I need for a DVM service.

After some grind I got everything working but still was not very pleased with the classification results.

Now, I know I could have put in even more time to really nail that prompt but I kinda lost my faith and appetite. I successfully use AI to learn and generate rudimentary code and chat about ideas. But what I needed is to generate a feed without manual intervention. AI people tend to recommend techniques to improve results that are borderline witchcraft. And every single time GPT finds a way to hallucinate plenty of stuff that I did not expect, no matter how hard I seem to try. This is my experience from months of daily interaction with GPT4-o too, which is much better than the mini version.

So no, I won't get trapped in the ai hype again. It is what it is: without human oversight these things are still worthless. I'm not aiming for a 90% usable thing, and I don't have a straightforward way to get to a 100%. No one has because these stochastic models are not AIs at all. They are mimicking parrots, nothing more. And this direction is a dead-end if you ask me.

All in all to customize a high-quality feed I tend to agree now that something like #nostrscript seems to be the better way to go from nostr:nprofile1qqsr9cvzwc652r4m83d86ykplrnm9dg5gwdvzzn8ameanlvut35wy3gpz3mhxue69uhhyetvv9ujuerpd46hxtnfduq3qamnwvaz7tmwdaehgu3wwa5kuegpzemhxue69uhhyetvv9ujuurjd9kkzmpwdejhglzevy3 .

It has the human element but is enhanced with the right tech to be much more than just picking hashtags to follow.

We might see a bunch of better use-cases for DVM-s but this is my overall sentiment right now.

AI is a technology to spam Nostr with reply guys and reply gals. Did I miss something?