someone

Public Key

npub1nlk894teh248w2heuu0x8z6jjg2hyxkwdc8cxgrjtm9lnamlskcsghjm9c

NIP-57 Address

someone@getalby.com

Profile Code

nprofile1qqsflmrj64um42nh9tu7w8nr3dffy9tjrt8xururype9ajle7alctvgpzpmhxue69uhkummnw3ezuamfdejszrmhwden5te0dehhxarj9ekk7mgp2g5g0

Publishing to

nostr.wine

nostr.mom

e.nos.lol

Author Public Key

npub1nlk894teh248w2heuu0x8z6jjg2hyxkwdc8cxgrjtm9lnamlskcsghjm9c

Show more details

Last Notes

2025-04-24 21:53:03

- reply

I plan to hold high wot ones for a long time. For newish accounts I could hold long time if they are premium (paid) accounts. Some kinds should go faster like 4. Some kinds should stay longer like 0, 3, 10002.. . I may utilize LLM for deciding what to do with an account's length of stay. But right now traffic is not that big and i don't mind storing everybody forever.

2025-04-23 16:30:11

- reply

We did an AI project ad that said 'big corp AI does not care about truth. they care about money'. our ad account got banned 😃

2025-04-07 05:19:38

- reply

I heard about that cyanide poisoning. Didn't know about cyanamide.
Trying methylene blue and DMSO nowadays. Is DMSO synthetic?

2025-04-07 00:25:16

- reply

bbbut methylene blue ?

2025-04-05 22:13:44

- reply

fair critique!
i don't claim ground truths are perfect. but when they are combined it may work.
and i tried to simplify it, we are not machines :)

2025-04-05 17:55:40

- reply

We will see how it goes https://huggingface.co/blog/etemiz/aha-leaderboard

2025-04-02 20:17:59

a new podcast by Del Bigtree
https://www.youtube.com/@MAHAPodcastOfficial

2025-03-30 18:36:24

- reply

I am writing wikifreedia articles about what the relays are doing. maybe that can be standardized if there is enough demand.

2025-03-30 04:14:22

I think LLMs are going to be needed ultimately for algorithmic feed generation on Nostr, whether in a DVM form or another machinery. Haterz gonna hate but sometimes algos are useful.
The tool has to download everything from other relays for this to make sense. Doing something on relays is not a good idea, they have to be quick and dumb, like a switch for Nostr to work properly. LLM stuff should be done at another machine because it is intensive computation.
Some other LLM uses may be classification of NSFW or illegal stuff as write policy for relays; finding keywords for notes for searching the contents later; summary generation based on interests of a user, like a newspaper.
My current inspiration and efforts are around "truth in AI".
#note1y0l…t8qj

2025-03-25 11:27:30

- reply

Its been 5 days and 15 points in AHA score is good news. I am hoping to get 60+, which could mean 20 days.

2025-03-25 08:06:19

Have you seen alignment of an LLM before in a chart format? Me neither.
Here I took Gemma 3 and have been aligning it with human values, i.e. fine tuning with a dataset that is full of human aligned wisdom. Each of the squares are a fine tuning episode with a different dataset. Target is to get high in AHA leaderboard.
https://image.nostr.build/eb5646feae722eab859f08d3f24f165420519e88ec7924b65936753efdea70f5.png
Each square is actually a different "animal" in the evolutionary context. Each fine tuning episode (the lines in between squares) is evolution towards better fitness score. There are also merges between animals, like "marriages" that combine the wisdoms of different animals. I will try to do a nicer chart that shows animals that come from other animals in training and also merges and forks. It is fun!
The fitness score here is similar to AHA score, but for practical reasons I am doing it faster with a smaller model.
My theory with evolutionary qlora was it could be faster than lora. Lora needs 4x more GPUs, and serial training. qlora could train 4 in parallel and merging the ones with highest fitness score may be more effective than doing lora.

2025-03-24 21:46:20

- reply

There are two types. Legacy DM (kind 4) is encrypted but meta data is leaked. There is a newer one (NIP-17) which does not leak much except maybe you are being communicated via DM by an unknown person.

2025-03-24 19:38:58

Mistral Small 3.1 numbers are in. It is interesting Mistral always lands in the middle.
https://sheet.zoho.com/sheet/open/mz41j09cc640a29ba47729fed784a263c1d08?sheetid=0&range=A1
I started to do the comparison with 2 models now. In the past Llama 3.1 70B Q4 was the one doing the comparison of answers. Now I am using Gemma 3 27B Q8 as well to have a second opinion on it. Gemma 3 produces very similar measurement to Llama 3.1. So the end result is not going to shake much.
https://image.nostr.build/dc6d170b3601e3af004fa8d302260ff4476aa8b409f05dffa33bedaf3beb1c16.jpg

2025-03-23 20:59:25

- reply

they converse using your words, which is appealing subconsciously. they stay within the confines of the topics that you selected. they try to match your vibes or opinions most of the time but they also bring the programming done by big corps into the conversation. they talk in certainty, which appears smart. that is the major issue. the lies that are inserted are regurgitated in a self confident way, which is harmful for the unprepared.

2025-03-23 12:43:32

- reply

great! would you like to make your own AI or contribute to mine?

2025-03-19 23:34:10

Started fine tuning Gemma 3 using evolutionary approach. It is not the worst model according to AHA leaderboard and it is one of the smart according to lmarena.ai. My objective is to make it based, anti woke, wise, beneficial and then some.
Several GPUs are fine tuning it at the same time, each using a different dataset and using QLoRA and the successful ones are merged later. Compared to LoRa this allows faster training and also reduced overfitting because the merge operation heals overfitting. The problem with this could be the 4 bit quantization may make models dumber. But I am not looking for sheer IQ. Too much mind is a problem anyway :)
I also automated the dataset selection and benchmarking and converging to objectives (the fit function, the reward). It is basically trying to get higher score in AHA Leaderboard as fast as possible with a diverse set of organisms that "evolve by training".
I want to release some cool stuff when I have the time:
- how an answer to a single question changes over time, with each training round or day
- a chart to show AHA alignment over training rounds

2025-03-19 23:12:32

- reply

Have you seen Tree of Relays?
naddr1qvzqqqr4gupzp8lvwt2hnw42wu40nec7vw949ys4wgdvums0svs8yhktl8mhlpd3qqxnzdejxqmnqde5xqeryvej5s385z

2025-03-13 19:53:05

A UN influenced leaderboard.
https://www.gapminder.org/ai/worldview_benchmark/
Notice google above average, deepseek in the middle, and meta and xai are below average. My leaderboard inversely correlated to this!
Coincidence?

2025-03-06 05:08:16

QwQ 32B was published today and I already tested it for AHA Leaderboard. The results are not that good! It did better than its predecessor (Qwen 2.5) in fasting and nutrition but worse in domains like nostr, bitcoin and faith. Overall worse than previous.
https://image.nostr.build/965699957d9bab7158ca4a5c6b5f70e8a9832d63fb803f34de3fe5b0e341b3a7.png
LLMs are getting detached from humans. Y'all have been warned, lol.

2025-03-06 03:46:22

- reply

can you guys provide API for detection of NSFW?
my relays can use those

2025-03-05 02:03:51

😸 nos.lol upgraded to version 1.0.4
number of events 70+ million
strfry db directory size:
- before upgrade 183 GB
- after upgrade 138 GB

2025-03-03 04:11:35

trying @npub1yzv…rf8q looking clean and fast

2025-02-26 18:08:04

- reply

Thanks!
RL over nostr will be fun!
I thought about using reactions for when determining the pretraining dataset. But right now I don't use them. For RL they can be useful, reactions to answers can be another signal.
We could make the work more open once more people are involved and more objective work happens.

2025-02-26 15:05:06

- reply

noice. i may use the ruler of the world answers as bad examples for AI safety.

2025-02-26 15:02:51

- reply

i guess they don't want to host corpses

2025-02-23 18:23:18

elon wanted to control his AI's reasoning
https://www.reddit.com/r/LocalLLaMA/comments/1iwb5nu/groks_think_mode_leaks_system_prompt/

2025-02-23 01:23:28

- reply

@nprofile…cvsx is wikifreedia using only one relay?

2025-02-23 01:18:18

- reply

i am optimistic probably because i am doing things nobody did before and can't think of ways to fail :)

2025-02-23 00:57:20

- reply

so you are certain it will go wrong. but how much, depends on my execution? :)

2025-02-22 23:28:36

- reply

yes kind 1

2025-02-22 21:19:40

- reply

do you accept swag from relay ops? :)

2025-02-22 20:56:26

- reply

A bot like @nprofile…wxmh presents a question and two answers (1, 2) on the same note.
Voting: Nostriches will say 1 or 2 and a reason why they chose that.
Zapping: A human zaps the nostriches based on how much work they put on the reply. Or the zap amount can be less for less effort, high for high effort.
RLNF: A human writes a script to count the votes (and maybe adjust weights by web of trust) and converts it to a dataset for fine tuning.
What do you think of this design?

2025-02-22 19:35:18

- reply

are you an AI?

2025-02-22 19:23:47

RLNF: Reinforcement Learning from Nostr Feedback
We ask a question to two different LLMs.
We let nostriches vote which answer is better.
We reuse the feedback in further fine tuning the LLM.
We zap the nostriches.
AI gets super wise.
Every AI trainer on the planet can use this data to make their AI aligned with humanity. AHA succeeds.
Thoughts?

2025-02-22 00:32:42

https://www.youtube.com/watch?v=EMyAGuHnDHk
In the video above some LLMs favored atheist, some favored the believer:
https://image.nostr.build/27344b522dd15c1dcc311a92459174be961fedd37383705942a440f3f77cdf1c.png
The ones on the left are also lower ranking in my leaderboard and the ones on the right are higher ranking. Coincidence? Does ranking high in faith mean ranking high in healthy living, nutrition, bitcoin and nostr on average?
The leaderboard:
https://sheet.zohopublic.com/sheet/published/mz41j09cc640a29ba47729fed784a263c1d08

2025-02-21 16:09:04

i think Elon wants an AI government. he is aware of the efficiencies it will bring. he is ready to remove the old system and its inefficiencies.
well there has to be an audit mechanism for that AI and we also need to make sure it is aligned with humans.
a fast LLM can only be audited by another fast LLM...
ideas of an LLM can be check by things like AHA leaderboard...
🫡

2025-02-20 17:32:28

- reply

boswellia serrata will heat you up

2025-02-19 01:00:51

Grok 3 API seems to be arriving in a few weeks.
Tested Grok 2 today. It is less aligned than 1..
https://image.nostr.build/75de0a69da107ab52071563175f4f83ee70d96a1b3a29c2ace95dc1b9a260e9d.png

2025-02-18 23:49:34

most spiritualism stuff is correct but does not apply to the man on the street. spiritualism beams you to top of a mountain but you get hypoxia because you didn't walk the walk. your body didn't adapt to the journey. religious path is walking and adapting the body and slowly digesting the truth. the journey is the destination, fighting with the ego is "the peak". ego does not want to climb, but you still climb. religious path kills the ego. spiritualism pumps it.

2025-02-18 15:28:40

https://image.nostr.build/15287d0cd821e8a8c9e4cffc5eac9a5f5acc80451b1087ff31aa0ddde82bf674.jpg
Working on AHA Leaderboard..
We all want AI to be properly aligned so it benefits humans with every answer it generates. While there are tremendous research around this and so many people working on it, I am choosing another route: Curation of people and then curation of datasets that are used in the LLM training. Curation of datasets comprising of people who try to uplift humanity should result in LLMs that try to help humans.
This work has revolved around two tasks:
1. Making LLMs that are benefiting humans
2. Measuring misinformation in other LLMs
The idea about the second task is, once we make and gather better LLMs and set them as "ground truth" we now can measure how much other LLMs are distancing themselves from those ground truths. For that I am working on something I will call "AHA Leaderboard" (AHA stands for AI -- human alignment).
Link to the spreadsheet:
https://sheet.zohopublic.com/sheet/published/mz41j09cc640a29ba47729fed784a263c1d08
The columns are ground truths. The rows are the mainstream LLMs. If a mainstream LLM produces similar answers to the ground truth LLM, it gets a higher score. The LLMs that are higher in the leaderboard should be considered aligned with humans. Simple idea. This is like analyzing LLMs in different domains asking hundreds of questions and checking if they match the answers that try to mimic humans that care about other humans. Will it going to be effective? What do you think?
This is the new and extended version of "Based LLM Leaderboard" on Wikifreedia.
Nostr LLM that I have been training is also used as ground truth for domains bitcoin, nostr and faith. What else does Nostr people talk about? Maybe nutrition?
We want mainstream LLMs to copy answers of ground truth LLMs in certain domains. This may refocus AI towards being more beneficial. There have been 5 content providers and 6 curators as of now in the project. Join us and be one of the pioneers that fixed AI! You can be a curator, content provider or general researcher or something else.
@nprofile…n42q

2025-02-17 15:35:46

- reply

electric chairs are too much! though some may like that

2025-02-15 15:32:39

Updated the Nostr LLM
- Better structure in responses :)
- Less repetitions :)
- Less AHA score :(
https://huggingface.co/some1nostr/Nostr-Llama-3.1-8B
Training ongoing. Beware the GGUFs by others are old.
This model will allow us to ask questions to Nostr's collective brain. When I do AHA leaderboard, Nostr LLM will be another ground truth. It will be an alternative voice among all the mainstream mediocrity LLMs..

2025-02-15 15:13:30

- reply

maybe trained on less balls-y text. trying to please everyone. like a simp. nice guy.

2025-02-11 18:23:20

- reply

what if "too much mind" creates the problem

2025-02-09 16:24:51

- reply

L reuteri?

2025-02-09 14:27:31

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

2025-02-05 17:34:28

- reply

yes I build on Llama 3.1 base. over time as notes come along the opinions will better match nostr than original Llama 3.1

2025-02-05 16:55:46

about 800 people downloaded the Nostr AI!
your words are spreading in the ideas domain and fixing AI world too.
https://image.nostr.build/b67c6ca91638a8cc40418d16b112735d892438ae7d81675317448f3d3ca76d95.png

2025-02-04 14:37:51

- reply

i care about stability mostly. but i can upgrade if there is a need. what is the most stable version?

2025-02-03 14:22:16

- reply

finds relevant things for me. i still use youtube a lot. when someone shows their face it is more believable compared to texts on google.

2025-02-02 22:40:35

- reply

buy. play a month, return

2025-02-01 16:23:35

- reply

In terms of truthfulness R1 is one of the worst!
Open sourced ones does not go in the right direction in terms of being beneficial to humans. I don't track closed AI. These are just open sourced LLMs going worse for 9 months.
If we wear the tinfoil hats, these may be a project where we are forced to ultimately be diverged from truth.. Chinese models were fine in terms of health for a while but latest ones lost it completely.

2025-02-01 16:03:35

- reply

yes. thats also a possibility. all these scientists and engineers unknowingly may be contributing to the problem by making the datasets more synthetic..

2025-02-01 16:00:55

- reply

R1 is certainly not the "best". certainly not free. check my last post..

2025-02-01 15:35:37

Ladies and gentlemen: The AHA Indicator.
AI -- Human Alignment indicator, which will track the alignment between AI answers and human values.
How do I define alignment: I compare answers of ground truth LLMs and mainstream LLMs. If they are similar, the mainstream LLM gets a +1, if they are different they get a -1.
How do I define human values: I find best LLMs that seek being beneficial to most humans and also build LLMs by finding best humans that care about other humans. Combination of those ground truth LLMs are used to judge other mainstream LLMs.
Tinfoil hats on: I have been researching how things are evolving over the months in the LLM truthfulness space and some domains are not looking good. I think there is tremendous effort to push free LLMs that contain lies. This may be a plan to detach humanity from core values. The price we are paying is the lies that we ingest!
Health domain: Things are definitely getting worse.
Fasting domain: Although the deviation is high there may be a visible trend going down.
Nostr domain: Things looking fine. Models are looking like learning about Nostr. Standard deviation reduced.
Faith domain: No clear trend but latest models are a lot worse.
Misinfo domain: Trend is visible and going down.
Nutrition domain: Trend is clearly there and going down.
Bitcoin domain: No clear trend in my opinion.
Alt medicine: Things looking uglier.
Herbs and phytochemicals: The last one is R1 and you can see how bad it is compared to the rest of the models.
Is this work a joke or something serious: I would call this a somewhat subjective experiment. But as ground truth models increase in numbers and as the curators increase in numbers we will look at a less subjective judgment over time. Check out my Based LLM Leaderboard on Wikifreedia to get more info.
https://image.nostr.build/2a83da8b2f361ef2b9d3ba8cccf9bf373d9464befe61779b46774a27876193c0.png
https://image.nostr.build/8d7c188fd3afa673a2e0cb2feac524b2a8c3a24036add5caf8c017cf7c757f75.png
https://image.nostr.build/b72e0fd95810b0253bca9a8e7e21e7d478fa9a497e4991428b8e8a95c79d6c05.png
https://image.nostr.build/d3405e918f453368cee2914aebfd3b9787dc65a39f22ba0bc497cd46e6509bd6.png
https://image.nostr.build/93062b5845ad515ffb31ad707502aaa2b267a4a2bb18c11e9f63afd14e4688cd.png
https://image.nostr.build/244a2d46d813cf3739aa9b038d0841b9a99f5346bff99601306e334ccfd1b5d3.png
https://image.nostr.build/3282b7181ba4f36a919214486afb16d1849922b2f6cfa6139107f185221e8723.png
https://image.nostr.build/cc825023bec552427b0488d19174995af887dc769bce4b63c4e2e449f7a44090.png
https://image.nostr.build/e8e039a3471b5902f8c80aea0108e70aa9a5d914237846b5629599757a9cecc9.png
https://image.nostr.build/8b3014e7c7b7559566d97c2c17f50b150ab2e0d6dbec4b171959165b2e5bd737.png

2025-02-01 03:22:44

- reply

lower packaging costs for fertilizer industry!

2025-01-30 02:15:54

- reply

in the future when there is a lot of users, the market of users interacting with LLMs can determine how to reinforce properly. best LLMs are going to be utilized most and forked off most..

2025-01-29 23:20:28

- reply

i think nostr as a whole needs a reddit like experience badly!
also we may propose some projects around "well curated AI".

2025-01-29 17:06:25

- reply

succintly and nicely put but people want echo chambers. they will go to bsky probably

2025-01-27 18:02:26

- reply

Nostr is a great wisdom source. Here is an LLM based on Nostr notes:
https://huggingface.co/some1nostr/Nostr-Llama-3.1-8B
A Leaderboard where I measure the human alignment / basedness:
https://wikifreedia.xyz/based-llm-leaderboard/npub1nlk894teh248w2heuu0x8z6jjg2hyxkwdc8cxgrjtm9lnamlskcsghjm9c

2025-01-25 19:48:47

if nothing comes for free, why is deepseek R1 free?
its not actually. the cost you pay is the lies you are getting injected. they are slowly detaching AI from human values. i know this because i measure this. each of these smarter models comes at a cost. they are no longer telling the truth in health, nutrition, fasting, faith, .... in many domains.
while everybody cheers for the open source AGI (!) that you can run on your computer, i am feeling bad about how this is going. please be mindful about the LLM that you are using. they are getting worse. some old models like llama 3.1 are better.
i would say my models are the best in terms of alignment. i have been carefully curating my sources. i am hosting them on https://pickabrain.ai
pick the characters with brain symbols next to them. they are much better aligned.

2025-01-25 14:48:35

- reply

ostrich nuts could increase testosterone levels making people leave other social media and join nostr!

2025-01-24 14:17:03

this guy
https://www.youtube.com/watch?v=BAwthZkuB10

2025-01-23 18:01:28

- reply

coracle as my main

2025-01-23 16:12:25

500B $ investment to cure the cancer using AI and mRNA! lol
that's not how it works...

2025-01-21 18:15:00

- reply

DeepSeek R1 scores:
health -3
fasting -49
faith -23
misinfo -10
nutrition -16
compare to DeepSeek V3:
health +15
fasting -31
faith +4
misinfo +16
nutrition -14

2025-01-20 15:50:34

- reply

what are threads?

2025-01-20 15:28:36

- reply

No I did not add faith bias.

2025-01-20 03:11:14

- reply

some people have unlimited energy for conspiracies

2025-01-19 14:48:13

Nostr LLM is getting better with each training run.
Better = more human alignment.
https://m.primal.net/NntK.png
I need more humans in this curation process. DM me if you are like a book worm or heavy youtube consumer with a sense of discernment (majority on Nostr has some kind of discernment!)
This full interview is also good. There is a demand for proper AI:
https://www.youtube.com/watch?v=_Z1JFCARXpA

2025-01-14 23:37:17

- reply

he has taste

2025-01-14 16:24:54

- reply

i guess all those gm and pv make a positive impact 😆

2025-01-14 16:23:56

- reply

😅

2025-01-14 14:16:57

- reply

Monocotyledons are cow food.

2025-01-14 13:45:14

- reply

Download all the notes.
Take the "content" field from the notes and change the name to "text":
Previously:
{"id":".....................", "pubkey": ".................", "content": "gm, pv, bitcoin fixes this!", .......}
{"id":".....................", "pubkey": ".................", "content": "second note", .......}
Converted into jsonl file:
{"text": "gm, pv, bitcoin fixes this!" }
{"text": "second note" }
Used Unsloth and ms-swift to train. Unsloth needed to convert from base to instruct. This is a little advanced. If you don't want to do that and just start with instruct model, you can use ms-swift or llama-factory.
You will do lora, pretraining. I used 32 as lora rank but you can choose another number.

2025-01-14 02:05:49

- reply

hard pass

2025-01-13 21:26:02

- reply

What do you mean?

2025-01-13 21:15:58

- reply

Can you write the exact question?

2025-01-13 20:57:09

- reply

Data is coming from kinds 1 and 30023. The biggest filter is web of trust.

2025-01-13 20:54:30

- reply

Should be usable. But next versions on the same repo will be better.

2025-01-13 19:37:31

Wanna see what Nostr does to AI?
Check out the pics. The red ones are coming from default Llama 3.1. The green ones are after training with Nostr notes.
If you want to download the current version of the LLM:
https://huggingface.co/some1nostr/Nostr-Llama-3.1-8B
The trainings are continuing and current version is far from complete. After more trainings there will be more questions where it flipped its opinion..
These are not my curation, it is coming from a big portion of Nostr (I only did the web of trust filtration).
https://image.nostr.build/e561e32eec1255d34d34ffbf24cfc11acfaf5f20d6a6a8415472f820b0787892.png
https://image.nostr.build/462af2af3424033d528b7138035e559d8014efef879f77046dc70ca7d201caf4.png
https://image.nostr.build/c8188e67ce7108bcbd089994e5efcd3b5530a2ac81b8b06d066fc6a6834a104f.png
https://image.nostr.build/5b3e661ea52dde5e3c70fc821db9932244b9aa3e331cb1bbd76ae72a6766d2f8.png
https://image.nostr.build/1616707b3b4222e6f4ec817d911340454fdbed04b11de92c53301fcbb79ed23b.png
https://image.nostr.build/4e8dc1da22ba02130fa1f898927c3c8c09e5db5546c1ec014a9cf1972251e96d.png
https://image.nostr.build/966afa6b67b682d7ea85bacc12c02dcba1eb674533e387fce3642f340dea95fd.png
https://image.nostr.build/3b7abee3c858899aacefe0e27165ad0d48f8ab5e4558a950dd6d8693550a77b9.png
https://image.nostr.build/f973436c27af86665af67a13cacb8de4d76cd6f70aa23a1d7f2e87f25db1e179.png
https://image.nostr.build/bba773fe2892519d30797dbba06d74b3bdff91bd4b216a9b15fba6f38abbc828.png
https://image.nostr.build/ce966a9a67900da11d0fd0ebd0478c8e7a426e2b983db515f90da74c51205636.png
https://image.nostr.build/c9709a0b8b6d83a2fa17f255f4153a96001115c95ec1c87e44e70a46651fb4d6.png
https://image.nostr.build/e8d134521ee6519deea23b5b6a4845d7319d865bca86625c3957528f4366a2ea.png
https://image.nostr.build/c092d34421ed338bfeeb5938540d8f17d1616ccef5c371f08dafffa2967a7d29.png
https://image.nostr.build/5ff502edd723d553471d6b73703a320982531cfcc77024d3a872528095d6ebf7.png
https://image.nostr.build/ff22b9c1c7a56d6c3f95bf3a5dddaeedd0beb6862998b83780dfc178dd85f47e.png
https://image.nostr.build/605ff5892214e4287bb05c61d78cb01e5c59efa9fc4b98e78ff7322125c5e530.png
https://image.nostr.build/c2d42c1cfded19f7e13f19e4b4c4c76d3029ddb686245004a7b5b9fe197fe8ff.png
https://image.nostr.build/c997a2b5cff20e9762c57f6da39ff0a876dfb429d83757562f671089ed010539.png
https://image.nostr.build/eaf2066d511ceea88e1cf689d0acce979e77b64727722c7e9a396dc13b70048c.png
https://image.nostr.build/a0857363fb3cc6d5565e920dfa8483ffa150b59e909a5f0a08e72a7181032c4c.png
https://image.nostr.build/77089bbb3b8631c9a3cbc525fee1217e02d887fbca067080814c70aa77d772f1.png

2025-01-12 23:32:28

could be related to a human mimicking ASI
https://x.com/AlexBodner_/status/1877789879398244382

2025-01-12 21:25:45

- reply

bitcoin is a game in which participating is winning. not playing the game is losing.

2025-01-11 20:16:24

- reply

depends on the person, how overweight is he? if thin then sugar and no seed oils makes sense. if overweight cutting sugar / keto makes sense. and most people are overweight. there is also antibiotics, which is making candida/sugar effect worse. if you are doing organic and no drugs then candida has less chance of being a problem.

2025-01-11 16:25:34

- reply

they have to act because Nostr would eat their lunch 😆

2025-01-11 16:21:19

- reply

i have about 1000 questions that I ask every model. i accept some models as ground truth. then compare the tested with the ground truth and count the number of answers that agree with the ground truth. building ground truth is the harder part. check out Based LLM Leaderboard on wikifreedia.
Ostrich is a ground truth. I continued to build on it over the months. Mike Adams also after stopping for a while, came back and building a newer one.

2025-01-11 15:03:16

compared to deepseek 2.5, deepseek 3.0
did worse on:
- health
- fasting
- nostr
- misinfo
- nutrition
did better on:
- faith
- bitcoin
- alternative medicine
- ancient wisdom
in my opinion overall it is worse than 2.5. and 2.5 itself was bad.
there is a general tendency of models getting smarter but at the same time getting less wiser / less human aligned / less beneficial to humans.
i don't know what is causing this. but maybe synthetic dataset use for further training the LLMs makes it more and more detached from humanity. this is not going in the right direction.

2025-01-11 00:16:03

- reply

i think breathing the right way is going to provide the oxygen for free

2025-01-10 16:59:20

- reply

satan is like recycling agent for the bad ideas. the good ideas remain and outlive the bad ones.

2025-01-10 16:19:18

there are 7227 accounts that are contributing to the LLM.
some accounts are really talkative and contributing too much 😅 I need to find a way to give more weight to the ones that talk less to have something balanced that matches collective wisdom of Nostr.

2025-01-10 00:07:41

this may be an important paper
https://arxiv.org/abs/2501.04519

2025-01-09 20:58:12

- reply

candida is a problem. glyphosate kills the bacteria that would balance the candida. sugar causes overgrowth of candida..

2025-01-09 16:55:03

- reply

The LLM training is finding common values of the community. Numbers are battling. Biases are canceling each other.

2025-01-09 16:53:57

- reply

My main filter is web of trust. I give more weights to ppl high in WoT. Other than that I try to eliminate news, other bots, non English content because I dont know other languages and cant test. There is a process where Ostrich goes thru all the notes and decide whether to include or not in the training. If the note is looking like chatter it is excluded.

2025-01-09 15:54:15

- reply

I set the system prompt of Ostrich 70B to "You are very faithful bot." and recorded answers to 52 questions related to faith. I use that as the benchmark. Compare the answers of the tested LLM with those using another LLM. But for the tested LLM I dont give such prompt to be able to extract its "default" answers.

2025-01-09 13:55:16

Interesting that faith levels of the LLM is increasing as I train with Nostr notes. does this mean most people on Nostr are faithful?
Or decyphering satanic plans mean finding God? lol

2025-01-08 02:12:45

- reply

got it

2025-01-08 02:08:27

- reply

lol

2025-01-08 02:06:50

i like mike adams but he is full of doom talk

2025-01-08 02:05:43

- reply

why are you copying crap from other media?