moral

Hard Forks, Soft Forks, Defaults and Coercion

One of the important arguments in the blockchain space is that of whether hard forks or soft forks are the preferred protocol upgrade mechanism. The basic difference between the two is that soft forks change the rules of a protocol by strictly reducing the set of transactions that is valid, so nodes following the old rules will still get on the new chain (provided that the majority of miners/validators implements the fork), whereas hard forks allow previously invalid transactions and blocks to become valid, so clients must upgrade their clients

[Mirror] A Proof of Stake Design Philosophy

Vitalik Buterin via the Vitalik Buterin Blog This is a mirror of the post at https://medium.com/@VitalikButerin/a-proof-of-stake-design-philosophy-506585978d51 Systems like Ethereum (and Bitcoin, and NXT, and Bitshares, etc) are a fundamentally new class of cryptoeconomic organisms — decentralized, jurisdictionless entities that exist entirely in cyberspace, maintained by a combination of cryptography, economics and social consensus. They are kind of like BitTorrent, but they are also not like BitTorrent, as BitTorrent has no concept of state — a distinction that turns out to be crucially important. They are sometimes described as decentralized autonomous

The Collision of Titans: AI and Web3

Over the past decade, two titans have emerged from the tech realm, each promising to redefine the very fabric of our global infrastructure - Artificial Intelligence (AI) and Web3. But what happens when these two forces converge? Are we on the brink of a new digital renaissance or a potentially uncharted dystopia? Consider this: AI is, at its core, the embodiment of advanced logic and decision-making, a machine's ability to "think" and process information in ways eerily similar to humans. It's no longer just about algorithms; it's about creating synthetic

The AI Model to Combat Technology Biases in the Near Future

Machines are incessantly getting smarter through the use of NLP, or natural language processing; however, there’s a flipside to that as well, where the convenience of AI-powered models, be they chatbots, virtual assistants, or content creation tools, cannot be ruled out altogether. Why should one feel that way? Well, most of the AI models have a biased approach to problem solving. However, with the help of TruthGPT, the future may offer some light on the capabilities of biased AI models, despite their ability to sow social discontent, promote cultural differences, and create