A quick application developed in uAdmin in under 2 minutes. https://t.co/vgXvJmhUPa #Golang web framework

Their design is way less elegant than LN, but in contrast to LN, they solved the self-custody problem, stablecoin problem, and created a system that can still work with LN.

... everyone was waiting for a Taproot Asset. I was very critical thinking Tether will use Taproot Assets but I kept waiting for their implementation which didn't come. Finally, a few weeks ago, an announcement from Tether mentioned Spark which honestly, I have never heard of ...

The fact that no stable coin was ever implemented until now on the bitcoin network tells you something about all the current standards that exists including Ordinal and Taproot Assets. Almost a 8 months after Tether announced that they will issue some USDT on Lighting ...

For those who want to read about the future of stablecoins on Bitcoin, check what @spark is doing with BTKN (similar to LRC-20) https://t.co/lMhPTg3AHy

📍 كأس العالم للرياضات الإلكترونية

It's just inolvidable due to simple pigeon hall principal. For this system we have 30 bits which makes it 2^30 which it a billion unique combinations. So the chance of getting the message wrong and getting the right set of emojis is about 1 in a billion

It's not as good as verifying with md5 hash or sha256 hash, but these were never designed for human usage. Emoji based MAC collision. Any MAC system will have a hash collision chance where two inputs produce the same hash.

This can also be very useful for call centers to verify they got your email address correctly. It's easier to ask (penguin, sun, dancing) than using NATO phonetic alphabet letter by letter (tango, hotel, whiskey, India, ....

There are over 3700 emojis, not all of them are available on all system and some are too similar to each other. But we can find 1024 distinct emojis This system can be used in crypto to verify an address. Just show 3 emojis next on the screen when you paste an address

This is a system that takes a message and hashes it with sha256. Truncate the hash to get the first 30 bits. Split the 30 bits into 3 10-bit groups. Each 10 bit can be a number between 0-1023. Now we map there three groups into 3 emojis

Or you could add a MAC and verify a fewer bytes 3f, 71, 4a, ...etc This is not a system that works well with human communication. We are bad at numbers but we have a secret weapon, we are good with emojis 😁

This is great when two computer are talking to each other. But what when humans are talking? Imagine sending your Bitcoin address and you want to make sure the other person received it without tampering. You could call the person and go byte by byte to make sure you got it

MAC is used to authenticate a message. MAC bytes are derived from the message and sent with it. The receiver can use a hash function to verify authenticity of the message by calculating the MAC of the message and comparing it to the MAC that came with the message

Emoji based MAC (Message Authentication Code) 🐧🌞💃 This is a message authentication system for humans -Did you get my message? -Yes -What's the EbMAC? -Penguin, sun, dancing -You are good to go 👍 Explanation (thread)

From the same authors of Fundamentals of Software Architecture. All the parts that didn't fit the narrative neatly, were put in a pile called "The Hard Parts". Now, the brilliant authors tackle these in their new book. I'm listening to it right now and enjoying the mental tease.

Your crypto deserves a home, not a hostage situation. 🔐 Welcome to Tejory — where you’re the only one holding the keys.” #Tejory #CryptoWallet #Decentralized

From box to blockchain.👀 Unveiling of Tejory smartcard that let's you tap into the future.🚀 #Crypto #Cryptowallet #Smartcard

Crypto on a Card? Yup, it's that easy. #CryptoSmartCard #CryptoWallet

Ali's story is inspiring

This paper introduces In-Context Reinforcement Learning (ICRL). It demonstrates that a transformer LLM, when trained with RL, can learn to solve new problems it has never seen before, by leveraging in-context experience. ------ 📌 ICRL Enables On-the-Fly Adaptation Traditional