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Former Youngest Person in the World!! stuartellison.com fantactico.com knostr.io zairk.com 🪴

What do those in USA 🇺🇸 make of RFK being denied security for his candidacy?

He’s polling 2nd in Democrat Primaries.

Does US not have enough money to protect more than 3 candidates?

Currently?

Bragging rights, and maybe later some fame.

Did you see the news about TETRA?

GPT-4 via the API is better, but what you really want is LLaMa2 Chat 70B. This will get further aligned and eventually dominate.

Meta might release a bigger model if 70B stalls out, they seem to be drip feeding the leaks to dethrone OpenAI.

Replying to Avatar symbsrcool

nostr:npub1w4swqedal6gcw23ndd93tkkdy3zj2l6zjdjvzrhu8rnw0k8lc8lswzprhz are you saying the value of the service isn’t clear enough?

No not at all. I mean most people need super layman descriptions.

Even technically savvy people need to start with laymen descriptions for something new.

This is one of biggest reasons why good stuff sits around unused. Even terms like KYC, in the general public 98% of people don’t know what that is.

Catching the thin wedge of early adoption is a fickle thing. First few users are often the hardest to catch.

Replying to Avatar symbsrcool

There was a time when there was no bitcoin+no KYC option for translations through #damus. I rolled out nostr:npub109pkdu0k0dau2cz063lzrgn7dl9l7lk8u7njcm2v8pk4pl2a9uzqf6u4w5 to fix that problem and as time has gone on not too many folks are using it.

I want to help the #nostr ecosystem so I’d like some feedback on a new direction. The biggest question is whether you would consider using the service if we made this change.

I’d like to reach a bigger audience so if you repost this I’ll zap you 1k sats.

New direction:

- API keys with no balance will now show any translations that our service has already translated from other people. We have to cache translations anyway because clients send the same note multiple times as you scroll.

- price per character lowers to 0.07 sats per character instead of 0.1

Tl;dr: anyone will get already translated notes for free. If you pay for the service, which is now cheaper, you get translations on notes that haven’t been translated and in effect donate translations to other folks.

There’s pretty much no scenario we make any money with this service, (which is okay because we believe in #grownostr) and we can lower our price because of cheaper/dynamic hosting with nostr:npub1n0delesspp5qyp9sd6d4fql9g3s96k7g4yyvfmpdncpp542wvxzqksp427 thanks to nostr:npub1utx00neqgqln72j22kej3ux7803c2k986henvvha4thuwfkper4s7r50e8

There was a time when there was no bitcoin+no KYC option for translations through #damus. I rolled out @nokyctranslate to fix that problem and as time has gone on not too many folks are using it.

Would your Grandma understand this?

Adoption = f(value * clarity^2)

OS again ruthlessly chasing down monopolies.

AI wants to be free.

OSAI is going to win this space, because math.

A rich forest of deep and narrow AI’s is how we reach pseudo-AGI and that’s going to come from the diversity of OSAI.

Plot has leaked for Oppenheimer sequel.

Title: K-Sci

Lee and Kim are disciples of Korea University Dept of Chemistry head TS Chair.

TS Chair comes up with a one-dimensional room temperature superconductor (SC) theory and publishes in 1994.

Lee, the theoretician, takes up the mantle, publishes his Masters thesis on “Explanation of Superconductivity by the ISB Theory” in 1995.

Meets Kim 1996. Kim is the experimental chemist and synthesis specialist. Lee and Kim discover a trace of the SC material in 1999.

Lee finished his PhD in 2004, after a 9 year slog with the thesis “Theoretical Proposal and Synthesis of New Polymer Superconductors”. Kim graduates with his PhD in the same year (maybe same PhD shared between the two?)

Both need to make money. Kim joins a battery materials company. Lee becomes a adjunct professor. Neither publishes at all.

4 years later, in 2008, Lee sets up Qcenter, which works on superconductivity while also doing consulting work for the big chaebols. Kim splits his time between the battery materials firm and Qcenter.

Somewhere along the way, TS Chair passes, and his dying wish is that the students find the room temperature superconductor and prove his theory.

In 2017, they start work on the final ramp. They have enough results to raise money. They go scrounge for dollars. I don’t think they get funded well. They get funding from some SME type industrial businesses, one in skincare and the other in auto parts.

YH Kwon, a physics professor, joins in early 2018 joins the team as CTO but continues to hold his university appointment.

By 2019 they’ve confirmed it’s a room temp SC and file a Korean patent for “production of low resistance ceramic compound”.

2020 Covid hits, and the team goes into monk mode. They finally isolate the SC, obtain its crystal and analyze its structure.

They make a Nature submission and get rejected because of the Ranga Dias controversy. They’re asked to publish locally and get it peer reviewed. They bring onboard HT Kim from the US at this point (guessing on timeline).

2021 - they print another patent => mfg superconducting material at normal temp and pressures. They start work on chemical vapor deposition and are successful. They file an additional patent

CVD is how you add this to our current manufacturing stacks.

YK Kwon takes a sabbatical and goes off to Seoul National University at in Sept. Was he still part of the team after this ?

Kim later posts an anti-physicist rant on LinkedIn.

March 2023 - international patent filed.

At the same time, Ranga Dias story comes out. JH Kim posts a comment to the story on LinkedIn “A retracted paper and an article in controversy immediately upon publication. It’s bittersweet. I really hope it’s findings are true”.

In the 6 author paper, they very carefully lay out which of the authors did what planning, coding etc and what share of credit they deserve (equal, lead, support etc)

It’s replicate or bust. They know no one will believe them otherwise.

LK-99: Update

Kim on LinkedIn

TLDR: Physicists mad because chalk pushers and too lazy to find RTSC, try being a chemist and literally grinding out 1,000 attempts over 20 years.

In fact…

If you wanted to predict iris patterns, this is how you would collect the target dataset.

Maybe by combining with DNA dataset?

input: DNA

target: iris

Maybe your iris pattern tells them stuff about your DNA and what type of ads you will click on? 😆

It all just seems too weird, the official story is not compelling at all. I don’t get it. Don’t understand their biz model or their offer.

Regard WorldCOIN…

Surely a fairly simple GANN can generate a billion deep fake iris examples and totally defeat the proof of personhood?

Synthesised and tests ongoing.

I wasn’t being obtuse, was a genuine Q.

Looks great, have seen pablo mention DVM and didn’t really know what it was.

Replying to Avatar Kody Low

CALLING ALL NOSTR DEVS

We want to pour some gasoline on nostr:npub1l2vyh47mk2p0qlsku7hg0vn29faehy9hy34ygaclpn66ukqp3afqutajft 's Data Vending Machines NIP , so we just announced another Round of #Ai4All Hackathon Bounties SPECIFICALLY for Nostr. Earn $200 bucks for building and submitting a Nostr Data Vending Machine Client or Service for the Hackathon ending August 1st, and also be eligible for the $20k worth of prizes (and bitcoin!!) from the #Ai4All Hackathon. All bounty submissions will be released under an MIT License as Free and Open Source Software.

………..

Here's how you can apply:

1. Join the Discord: https://discord.gg/u4QnzarJ

2. Apply for a bounty with a link to your project.

3. If your project is approved, you claim the bounty.

Check out these 8 $200 Nostr bounties 👇

………..

Build a Nostr AI Data Vending Machine Service:

https://replit.com/bounties/@Fedi/15-ai4all-build-a-no

https://replit.com/bounties/@Fedi/25-ai4all-build-a-no

https://replit.com/bounties/@Fedi/35-ai4all-build-a-no

https://replit.com/bounties/@Fedi/45-ai4all-build-a-no

https://replit.com/bounties/@Fedi/55-ai4all-build-a-no

Build a Nostr Data Vending Machines Client:

https://replit.com/bounties/@Fedi/13-ai4all-build-a-no

https://replit.com/bounties/@Fedi/23-ai4all-build-a-no

https://replit.com/bounties/@Fedi/33-ai4all-build-a-no

nostr:npub180cvv07tjdrrgpa0j7j7tmnyl2yr6yr7l8j4s3evf6u64th6gkwsyjh6w6

nostr:npub1sg6plzptd64u62a878hep2kev88swjh3tw00gjsfl8f237lmu63q0uf63m

How many people know what a ‘nostr data vending machine’ is?

Replying to Avatar ⚡️🌱🌙

I agree 💯, I’m advocating topographic discovery besides other things.

I am have data Jan gave me in neo4j, initially so that I can explore the structure and visuals. I intend to scoop more recent data and publish a graph of the network including relays and probably some pubkeys with large followings.

Later I hope to replace neo4j with memgraph and publish a much broader range of pubkey plus note traffic.

Will be using knowstr.io which I bought yesterday for the graph, also sitting on nostrmarketplace.com hd a few ideas for that including simply listing paid relays and some performance data, but I’m opposed to doing that at the moment as I’m worried about artificially kettling waves of users into a handful of big relays.

I would prefer an organic fabric, even with relays spawning and dying.

Relay costs are an issue and at the moment there is probably vastly more relay capacity than the network requires, especially at the edges. Lots of relays are under utilised.

Load balancing and revenue sharing might be viable but… how to do that without gaining control? Again, I would prefer organic fabric.

nostr needs a commercial solution for the back end. Bitcoin has this, nostr does not.

#note: this is only a late night side project for me. Not full time. More like 5-8 hours a week in a good week. I’m very much following nostr devs and thinking about stuff. I think nostr is very much pre-dawn with high turnover of devs and projects, but it continues to refine. I’m investing time now so that I’m engaged when it matters.

Lol, knostr.io not knowstr.io 🤦‍♂️

I agree 💯, I’m advocating topographic discovery besides other things.

I am have data Jan gave me in neo4j, initially so that I can explore the structure and visuals. I intend to scoop more recent data and publish a graph of the network including relays and probably some pubkeys with large followings.

Later I hope to replace neo4j with memgraph and publish a much broader range of pubkey plus note traffic.

Will be using knowstr.io which I bought yesterday for the graph, also sitting on nostrmarketplace.com hd a few ideas for that including simply listing paid relays and some performance data, but I’m opposed to doing that at the moment as I’m worried about artificially kettling waves of users into a handful of big relays.

I would prefer an organic fabric, even with relays spawning and dying.

Relay costs are an issue and at the moment there is probably vastly more relay capacity than the network requires, especially at the edges. Lots of relays are under utilised.

Load balancing and revenue sharing might be viable but… how to do that without gaining control? Again, I would prefer organic fabric.

nostr needs a commercial solution for the back end. Bitcoin has this, nostr does not.

#note: this is only a late night side project for me. Not full time. More like 5-8 hours a week in a good week. I’m very much following nostr devs and thinking about stuff. I think nostr is very much pre-dawn with high turnover of devs and projects, but it continues to refine. I’m investing time now so that I’m engaged when it matters.

note4885034c358f0f3e57bfa3018685801e49d4a384c828c6ad0f384fbacd19d941