Since 2022, Big Mother created and launched three MVPs, three pilots, of our unique “win-win” computational system, all either in web3 or designed for web3. The support to build and launch these MVPs all came from our own community and made possible because of the innovations in blockchain technology.
This influenced how we packaged, introduced and messaged our innovations. AI and Large Language Models have changed all of this.
Introducing Conversational Game Theory
Conversational Game Theory is a new way to introduce Big Mother’s innovations and collaborations that emerge from our community.
While we have learned a lot and have met some wonderful and amazing thinkers and innovators in the web3 space, we are changing our perspective and “changing our code” to become an interactive AI Agent and LLM training platform.
Conversational Game Theory does not change any of Big Mother’s innovations the past few years in web3. Conversational Game Theory is just the underlying structure and system. It still has decentralization, autonomy, transparency. However it can better achieve this through decentralized AI Agents trained in Conversational Game Theory.
All members of our community who played “Why not World Game?” on web3 still have all of their contributions and support both preserved and distributing towards “maximization”. It still is a way to use the blockchain as a storage of copyright. While we pivot from web3 into the new future, the integrity of our innovations holds.
What has changed is our expectations of web3 and the discovery that our innovations are best expressed when viewed as a system of AI Agents playing “Conversational Game Theory” aka “Aiki Wiki”. Not only are they best expressed through AI, the value and interest of our IP that was launched and created has just sky rocketed far beyond what we were expecting.
What were we expecting? We were expecting “Private Internet Publishing” to attract web3 funding to build a decentralized sales force. Web3 appeared to be certain as our best path forward introducing our designs and innovations and getting to both revenue and investment. Our passion project, “Aiki Wiki”, was expected to develop slowly, find its fit and continue to evolve.
However the opposite happened, our early piloting of Parley Aiki Wiki not only demonstrated our computational system, but we learned that we can train AI agents to “aiki wiki”, and from there, a whole new highway opened up we never saw before. This has created far more asset value within our community than we were expecting, our new direction requires a more classic approach to company structure, another area web3 was getting in the way.
Some folks did not want to talk with us solely because we were “web3” and there is now so much distrust of things like smart contracts, tokens, and NFTs.
