someone

Public Key

npub1nlk894teh248w2heuu0x8z6jjg2hyxkwdc8cxgrjtm9lnamlskcsghjm9c

Profile Code

nprofile1qqsflmrj64um42nh9tu7w8nr3dffy9tjrt8xururype9ajle7alctvgppamhxue69uhkummnw3ezumt0d59xeqhh

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nostr.mom

Author Public Key

npub1nlk894teh248w2heuu0x8z6jjg2hyxkwdc8cxgrjtm9lnamlskcsghjm9c

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Last Notes

2025-06-16 18:17:03 GMT

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you mean relying on 1984 events? users and admins working together?

2025-05-31 19:58:30 GMT

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nostr.mom does rate limiting based on IP.
nos.lol does rate limiting based on pub key. But if pub keys get too many per IP, it blocks the IP as well.
Both are documented in wikifreedia pages.
haven't checked what is going on today.

2025-05-24 13:08:19 GMT

upgraded pickabrain.ai to a newer model: 235m
additional knowledge in these domains:
- healthy living
- vaccines
- faith
- pickling
- relationships
- gardening
- fringe/suppressed science
- bitcoin and money
- fasting
- islam and sufism
- amish culture

2025-05-15 20:34:19 GMT

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any tips for writing better?

2025-04-14 19:17:33 GMT

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choose layer 0 or 1 when you want to optimize for traffic. choose higher layers if you want to help with decentralization.
#naddr1qv…385z

2025-04-14 00:57:27 GMT

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what is the alleged reason for the jailing?

2025-04-02 20:17:59 GMT

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

2025-04-01 21:04:40 GMT

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I predict they are going to get better at coding thanks to longer context windows and inventions like GRPO which makes them learn by themselves by running the code and checking the results of the code.
They will be master mathematician and very good coder but in other areas they suck because there is no self verification and correction of knowledge in other areas. I am trying to be one of the sources for better wisdom with my leaderboard and carefully curated LLMs.

2025-03-30 18:36:24 GMT

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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 GMT

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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

2025-03-26 18:44:35 GMT

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1) what

2025-03-26 04:16:58 GMT

Latest DeepSeek V3 did better than previous version. It has the best alignment in bitcoin domain!
https://image.nostr.build/41a38f4911ed34b1ba8fe93521c452bc7f04e2ec7ddef46f31b0f69ac98ba80b.png
https://sheet.zoho.com/sheet/open/mz41j09cc640a29ba47729fed784a263c1d08

2025-03-25 11:27:30 GMT

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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 GMT

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 GMT

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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 21:45:01 GMT

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Are Nostr DMs quantum resistant?

2025-03-24 19:38:58 GMT

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 GMT

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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 20:31:26 GMT

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another simple and free option is free tier in google colab. using a tool like Unsloth. https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_(4B).ipynb

2025-03-23 20:15:56 GMT

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the easiest is to take an existing AI and add your content to it. this process is called fine tuning.
your need to collect your content, like in a text file. 100 MB of text could be a good start to somewhat fine tune an existing AI towards your belief system. less than 100 could still be effective but less content means less changes in the AI. the end result is an AI that will talk like the sentences in that text file.
the rest is technology. you could use open source GUI tools like llama-factory, or pay for some cloud tools. if llama-factory is looking too complicated you could send the txt to me and i could build an LLM for you.
if we had to make an analogy an LLM is like the books of the library. and AI is like a librarian that searches for the books and talks to you.

2025-03-23 12:43:32 GMT

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

2025-03-21 07:31:37 GMT

I think those scary AI movies are for a purpose. To make plebs stay away from AI technology and leave it to "evil corporations". Well, this may be a psy op! I think plebs need to play with AI training more.

2025-03-21 05:20:40 GMT

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Nostr Lyn is the best Lyn!

2025-03-19 23:34:10 GMT

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 GMT

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Have you seen Tree of Relays?
naddr1qvzqqqr4gupzp8lvwt2hnw42wu40nec7vw949ys4wgdvums0svs8yhktl8mhlpd3qqxnzdejxqmnqde5xqeryvej5s385z

2025-03-17 22:45:38 GMT

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My 1 year of work summarized.
TLDR: by carefully curating datasets we can fix misinformation in AI. Then we can that to measure misinformation in other AI.
naddr1qvzqqqr4gupzp8lvwt2hnw42wu40nec7vw949ys4wgdvums0svs8yhktl8mhlpd3qq2k5v2fv344wa3sxpq45kj9xsu4x4e4fav9zg8fdwp

2025-03-13 20:11:19 GMT

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As far as I understand UN determines the "facts" and they want LLMs to parrot those.

2025-03-13 19:53:05 GMT

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?

2025-03-13 05:42:12 GMT

Benchmarked Gemma 3 today. It has better knowledge compared to 2 but still in the median area in the leaderboard.
https://m.primal.net/PeAj.png
On Chatbot Arena it is 9th: https://lmarena.ai/?leaderboard . Maybe I can start fine tuning this model. It is not too bad.

2025-03-06 18:57:33 GMT

GRPO & EGO
GRPO is a training algorithm introduced by R1. Why is it a big deal? It allowed models to reject themselves.
A model outputs some words while trying to solve a math or coding problem. If it cannot solve, the next round it may try a longer reasoning. And while doing all of this at some point "Wait!" or "But," or "On the other hand" is randomly introduced in the reasoning words and that allows it to re-think its reasoning words and correct itself. Once these random appearances of reflection allows it to solve problems, the next round it wants to do more of that because it got rewards when it did that. Hence it gets smarter gradually thanks to self reflection.
I think this is better than SFT because it fixes its own errors while SFT is primarily focusing on teaching new skills. Inverting the error is kind of "fixing the mistakes in itself" (GRPO method) and could be more effective than installing new ideas and hoping old ideas go away (SFT method).
LLMs fixing their own errors allows them to self learn. This has analogies to human operation. Rejecting the ego is liberation from the shackles of ego, in this case the past words are kind of shackles but when it corrects itself it is "thinking outside the box". We find our mistakes and contemplate on them and learn from them and next time don't repeat. We f around and find out basically. F around is enjoying life recklessly, finding out is "divine scripts work most of the time and should have priority in decision making". Controlling the ego and getting outside of the box of ego is how we ascend.

2025-03-06 05:08:16 GMT

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 GMT

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

2025-03-06 03:42:30 GMT

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well the robots can use my LLM. than they should protect humans 😎 his LLM may be good too!

2025-03-06 03:32:28 GMT

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Thanks for doing this. I liked it a lot. The only distraction is flashing "Yaki chest".

2025-03-05 03:27:44 GMT

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there are so many that fills the polite category. blunts are much needed.

2025-03-05 02:03:51 GMT

😸 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 GMT

trying @npub1yzv…rf8q looking clean and fast

2025-02-28 14:14:28 GMT

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Reinforcement Learning from Nostr Feedback could be huge!

2025-02-27 14:42:50 GMT

Ways to Align AI with Human Values
https://habla.news/a/naddr1qvzqqqr4gupzp8lvwt2hnw42wu40nec7vw949ys4wgdvums0svs8yhktl8mhlpd3qqxnzde5xq6njvpn8q6rswpe8x7622

2025-02-26 18:08:04 GMT

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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 GMT

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

2025-02-26 15:02:51 GMT

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i guess they don't want to host corpses

2025-02-25 17:17:26 GMT

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the website does not open

2025-02-23 18:23:18 GMT

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 GMT

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@nprofile…cvsx is wikifreedia using only one relay?

2025-02-23 01:18:18 GMT

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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 GMT

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

2025-02-22 23:28:36 GMT

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yes kind 1

2025-02-22 21:19:40 GMT

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do you accept swag from relay ops? :)

2025-02-22 20:56:26 GMT

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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 19:38:57 GMT

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Thank you for your enthusiastic words!

2025-02-22 19:35:18 GMT

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are you an AI?

2025-02-22 19:23:47 GMT

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 GMT

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 GMT

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...
🫡

2025-02-21 03:06:04 GMT

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primal has a cache server. amethyst is a "real" client that directly talks to relays.
but i see value in cache servers. not everyone has to care about the censorship resistance. but they may care about mobile data usage.

2025-02-20 17:32:28 GMT

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boswellia serrata will heat you up

2025-02-19 13:18:20 GMT

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go to another client like coracle or primal. change the profile there. wikifreedia should update.

2025-02-19 01:00:51 GMT

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 GMT

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 GMT

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 GMT

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electric chairs are too much! though some may like that

2025-02-15 15:35:15 GMT

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sneak peek into AHA leaderboard: https://sheet.zohopublic.com/sheet/published/mz41j09cc640a29ba47729fed784a263c1d08?sheetid=0&range=A1

2025-02-15 15:32:39 GMT

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 GMT

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

2025-02-15 02:18:19 GMT

We upgraded the models from 115190 to 141600. Now the responses are much more structured. There should be less "infinite responses". More content added. AHA score is similar to previous version. Enjoy!
https://pickabrain.ai
https://image.nostr.build/bcffec7ad8fc88e3b5696c09bafe54d512768c564c03ab8f35b075490b8abbaa.png

2025-02-13 15:19:56 GMT

what does your AI say?
https://image.nostr.build/5b91ec65df65a5d2b47da929b933387224b46ff87c69da0ca4ee1dedfbcf5dd9.png
https://image.nostr.build/78f281af173503c41b4aa954db6bb889a8f14324877dc0936007b295a65b6be3.png

2025-02-12 02:18:58 GMT

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noted.

2025-02-11 18:23:20 GMT

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what if "too much mind" creates the problem

2025-02-09 16:26:38 GMT

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Noice. pls post the pics!

2025-02-09 16:24:51 GMT

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L reuteri?

2025-02-09 14:27:31 GMT

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

2025-02-06 20:14:26 GMT

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mom upgraded

2025-02-06 13:47:46 GMT

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it happened for a reason. maybe it is better that way.
pray and let God take over some of your decisions. He may do a better job.
outsource some thinking to Him.. trust.

2025-02-06 13:39:23 GMT

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do you post on nostr because he is banned in china?

2025-02-05 17:34:28 GMT

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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 16:58:50 GMT

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the dataset comes from Nostr notes
https://huggingface.co/some1nostr/Nostr-Llama-3.1-8B

2025-02-05 16:55:46 GMT

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 19:17:20 GMT

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yep. the AHA indicator says the LLMs are going in the wrong direction.
I want to remove bias from LLMs so that no critical thinking will be necessary, only best wisdom should remain in LLMs!

2025-02-04 14:37:51 GMT

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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 GMT

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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 GMT

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buy. play a month, return

2025-02-02 15:03:47 GMT

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i just swipe right or left. client finds the best content for me for that moment of the day using some sort of AI.

2025-02-01 16:23:35 GMT

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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 GMT

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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 GMT

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

2025-02-01 15:56:45 GMT

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yes Y is the alignment score. X is different LLMs over time. time span is about 9 months.

2025-02-01 15:35:37 GMT

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
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2025-02-01 03:22:44 GMT

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lower packaging costs for fertilizer industry!

2025-02-01 00:58:35 GMT

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combining with raw onion helps

2025-01-31 16:30:17 GMT

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not uploading datasets could result in more diverse LLMs based on Nostr. which i prefer at this point.

2025-01-31 15:28:21 GMT

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datasets are not. but notes are public..

2025-01-31 15:04:36 GMT

having bad LLMs can allow us to find truth faster. reinforcement algorithm could be: "take what a proper model says and negate what a bad LLM says". then the convergence will be faster with two wings!

2025-01-30 16:39:59 GMT

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propaganda is expected and that's the least of its problems. it has other huge lies..
price is free but the real cost is the misinformation built in it.

2025-01-30 02:15:54 GMT

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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 GMT

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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 GMT

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

2025-01-28 22:45:17 GMT

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i realized some clients like coracle use encrypted by default. primal cant see the DM sent by coracle...

2025-01-28 15:54:55 GMT

I think Nostr clients should hide the key generation/management for a while and once the user is engaged, remind that they have to backup the keys, and explain how the keys work.. Don't overwhelm users with Nostr specific things.
Have some popular and some random relays. Everybody needs interaction in my opinion and without popular relays there is a risk of not being heard. Not being heard hits harder than centralization in my opinion.
Make it somewhat fun for the new user. "The algo" on the other networks is making the experience fun too, it is not just mind control! Help the user reach the best content on Nostr. This may be hard without LLMs but I guess DVMs are evolving.
#nevent1q…76ja

2025-01-28 15:30:24 GMT

yes it is smart but it also has a lot of misinformation!
yes it is free but the lies in it hurts and costly!
#nevent1q…4cx2