@CogitoProtocol 1/ @CogitoProtocol is a project that offers a ""stablecoin-as-a-service"" framework, allowing for the creation of an entirely new class of digital assets with low volatility called #Tracercoins
@CogitoProtocol 2/ Unlike traditional stablecoins, which are typically pegged to a single fiat currency or commodity, #Tracercoins maintain their stability by soft-pegging to non-financial indices that represent progress along various developmental fronts.
@CogitoProtocol 3/ These indices are constructed from macro data that reflect genuine progress in areas such as environmental and technological advancement. They are strongly resistant to manipulation and fluctuate moderately, providing fair and independent measures of value.
@CogitoProtocol 4/ Green Coin (or GCOIN) will be launched to trace a green index that measures positive progress towards a net-zero economy. GCOIN will be pegged on a 1:1 basis to the Green Index, which tracks green indicators reflecting environmental progress, e.g., CO2 emission.
@CogitoProtocol 5/ The GCOIN, along with future coins in the Cogito #Tracercoin family, will be regulated by the native ecosystem token: the CGV token. This token will be used for both governance and supporting the algorithmic stabilization mechanisms.
@CogitoProtocol 6/ @CogitoProtocol aims to develop different products for usage across DeFi and conventional businesses. Different Cogito tokens may have different quantitative and qualitative properties, but there will also be a common set of features.
@CogitoProtocol 7/ Users will always be able to trade the #Tracercoins within specific boundary values (the indices' boundaries). @CogitoProtocol Tracercoins can more effectively fulfill classic blockchain use cases, such as storage of value and payments, than fiat-dependent #stablecoins.
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2/ The article discusses Artificial Intelligence and how the SingularityNET Ecosystem and its projects are creating a network of narrow #AIs that all interconnect using #blockchain technology to create a #decentralized and benevolent Artificial General Intelligence.
"The emergence of true #AGI... will be in many ways the most complex achievement...of the human species — as well as presumably the last ...since once AGIs exist they will be more adept at science and technology than human beings."
OpenCog Hyperon is an open-sourced platform where different #AI modules — such as neural networks (#NNs/DNNs), generative AIs, probabilistic AIs, program learning AIs, and others — can collaborate based on a shared knowledge metagraph.
The cognitive architecture of OpenCog Hyperon is based on MeTTa (Meta Type Talk), an AGI programming language that allows different AI modules to work together to achieve results that none of them could accomplish individually.
🧵 Enabling real-world use cases at scale on the #SingularityNET platform via creating a MeTTa-based DSLs focused on smart contract programming in specific industry verticals.
2/ Smart contract scripting can be tricky, so it’s essential to design a developer-friendly framework to build applications and solutions without compromising on security.
3/ On #Ethereum, a “copy &paste” culture has emerged, where developers copy and tweak existing Solidity code. However, this approach is unsustainable in a software ecosystem powered by tools with reasonable composability.
The SNET mission combines ambitious & visionary development towards:
- Artificial General Intelligence (#AGI),
- Decentralized AI Marketplace,
- Beneficial #AI use across strategic vertical markets,
2) Delivering steadily & consistently throughout 2022, there was a lot to celebrate by end of the year:
- MeTTa & DAS development toward @OpenCog AGI framework
- 22 new AI services & Training models added to the Platform/Marketplace
- Two Phases of AI-DSL project complete
...
3) - Converter Bridge & Loyalty Program Launched (#BuildingOnCardano)
- @Hypercycle_AI ledger less sidechain++ for #Cardano microtransactions kicked off
- Deep Fund rnd 1 complete, governance vote, and 2 initiated
- Ambassador Program launched
- Decentralization Report published
1) NNs, LLMs, Diffusion - narrow #AI's are showing exciting capabilities right now. So, why do we need #AGI?
Simply, these algorithms are amazing pattern-recognizers...but they don't understand what they are doing.
A classic example of their unfortunate limitations:
2) A seemingly perfect-accuracy AI-driven tumor detector from tissue images... failed completely when given images from a new hospital.
On initial training data - 98% accurate; on data from this new source, it was no better than a coin flip
3) Turned out, all the training images with a tumor had a little white ruler in the picture to measure the size of the tumor. The new hospital did not include rulers in any images.
The model didn't understand tumors, and so has learned to be an amazing ruler detector.
2) The AI-DSL project is creating a revolutionary, intelligent interconnectivity layer to augment the utility of every service on the SNET Marketplace.
The protocol will allow AIs to be linked like legos & assembled into complex workflows by anyone, even non-technical users.
3) Phase 2 was funded by #Cardano Catalyst Fund7, with enthusiastic support for the #CardanoCommunity and this project, along with @Hypercycle_AI, will massively augment Cardano as the blockchain of AI