What does post AGI world looks like and how to prepare for it?

 The LLM models are seemingly extremely good at making making decisions and doing the soft tasks, now that with down the road integrated with hardwares and robots would result in a lot of current human tasks being done by machines. So what do I think are going to be big themes of next few decades?

•⁠  ⁠Ideas that help unite people around common theme. Humans have had innate need to organise themeselves to accomplish complex and great ideas. If these ideas are decentralised then it does not need a central identity (like companies or nations) but decentralised communities (like religions and online forums/telegram groups). These communities will be driven by arts - memes, music, comedy, roasts and short form videos. So creativity and connecting with audience will still be important, the tools for the same could very well be driven by AI software and tools. These will lead to parallel economies which governments will definitely come for. Best way to prepare for it will be trying to build an audience organically by creating content (with or without AI). 

•⁠  ⁠⁠Deep research and experimentation will gain more prominence. Master of one should pursue research. 
If you are someone who has gained tremendous specialization in a specific field then try to be more creative and come up with original ideas that you wish to pursue. 

•⁠  ⁠⁠Experiences and anything to do with energy, travel and community will be big, so it translates to pure science, experiences and building audiences(communication)

•⁠  ⁠⁠every industry will have human conformism to take accountability and responsibility, this will be given to jack of all trades. Thus taking accountability for AI’s actions will be a major theme.

Bitcoin, Hinduism and Armies

Book titled - Bitcoin, Hinduism and Armies  

Chapter 1 - Temple Economies 

Chapter 2 - AI, Not one God but Many? 

Chapter 3 - 195 countries, 195 constitutions, 195 religions? 

Chapter 4 - By Guns, not by Choice 

Chapter 5 - Palestine, Ethereum and Ayodhya  

Chapter 6 - Vidhi se hi Vidhaan hai  

Chapter 7. - Bright and not so Bright Future

Chapter 8. - Data Religions 

How to regulate cryptocurrencies? Nuanced viewpoint.

Cryptocurrency regulation remains a focal point of debate among financial institutions, governments, and users. The crux of the issue is balancing the innovation and freedom of cryptocurrencies with the need to prevent their misuse. The image you shared illustrates the problems faced by public institutions in monitoring and controlling illicit activities involving cryptocurrencies, and also suggests potential solutions to these challenges.

The flowchart in the image outlines the difficulties in tracking the movement of cryptocurrencies from legitimate to illegal usage and vice versa. It points out that once cryptocurrency is purchased, it cannot be frozen by government authorities, making it a potential tool for illegal activities. Even though fiat purchasers are vetted by governments, the conversion of illegal fiat currency into cryptocurrency remains an issue due to anonymity. Subsequently, these funds can be mixed and transferred multiple times to obscure their origin, ultimately being exchanged back into legal fiat currency.

The process raises concerns about the genuine use cases of cryptocurrencies, given that they can empower users through smart contracts and democratization of power. However, it's challenging to distinguish between legitimate and illicit transactions, as the decentralized nature of cryptocurrencies can be exploited by bad actors.

The image also outlines a series of solutions to address these bottlenecks, focusing on the off-ramp and on-ramp stages of crypto transactions. The proposed solutions are:

1. Having registered crypto users state the purpose of transactions to regulatory authorities, which can later be monitored by AI tracing mechanisms.

2. Maintaining the transparency of crypto transactions to ensure they can be traced by government entities.

3. Creating a portal for users to prove the legitimacy of their use cases and transaction flows.

For crypto-to-crypto issues, the suggestions include:

1. Regulating contract addresses based on liquidity and number of users and establishing a global database of contract classifications.

2. Ensuring that the purpose of the transaction is stated in such a way that the identity of the parties is not revealed, yet the parties cannot lie about the transaction's purpose.

This image reveals a nuanced view of cryptocurrency regulation, recognizing both its potential risks and its innovative benefits. It underscores the necessity for intelligent regulation that doesn't stifle technological advancement while ensuring that the financial system is not compromised. As the dialogue around cryptocurrency regulation evolves, the balancing act between innovation and security becomes increasingly vital for the future of digital finance.

VIsion 2025

Hey, I think I am probably overreaching it but here is what I think the entire crypto-web3-AI dream will take us tomorrow. I wrote the article - Vision Electronic Cloud in 2012, it has been 12 years since I wrote that and we are nowhere near the Vision Electronic Cloud today. It seems that solving a problem is more important as compared to giving people vision. There are homes today which are like Electronic Cloud but there have not been massive transformations in energy, and the repair and maintenance cost of IOT devices ultimately acted as a negative proponent of Electronic Cloud. 

I don't think anyone is sitting on the realization here of how intelligent LLMs and GPT actually are. They can act as wonderful brains. However, there is still the problem of how to use them by providing the right context? How would the privacy of a user work if they are not given the right context? What if a third-party organization requests access to some of the results computed on such data? Who will own their personal data? 

Here is what the vision encapsulates - everyone will have their personal LLM which will be trained on their own data. This data will be stored in vectors and can be anything digital under the sun. - Images, Videos, Audios, Texts. There will be a schema along with each item which will tell how this data was captured and other statistics about the information. Each person will have cameras embedded into their glasses which will upload everything that they see to the cloud, and it will upload everything they hear to the cloud, this data composed with artificial intelligence will be revolutionary.  Everything they read, hear or write will be recorded. 

The personal LLM and 

How would privacy work?

This could potentially lead to privacy violations on an unimaginable scale. No entity should have entire control over this user's data, this could lead to changing privacy policy or being under government pressure to vilify someone's data. The request to access this data would be made using a smart contract transaction,