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Decentralized AIβ€’β€’6 min readβ€’1031 words

πŸ€– AI Models - Structural Break ML Challenge

πŸ‘οΈ0reads (human + AI)πŸ€–0AI ingestions

πŸ€– AI Models - Structural Break ML Challenge

This article outlines the Crunch Podcast's first episode, featuring Dr. Humberto BrandΓ£o, winner of the $100K ADIA Lab Structural Break ML Challenge. It details the AI model and the approach that achieved approximately 90% out-of-sample performance.

Key Points:

β€’ Podcast discusses a winning AI model for financial challenges.

β€’ The model achieved approximately 90% out-of-sample performance.

β€’ Dr. Humberto BrandΓ£o developed the high-performing AI solution.

πŸ”— Resources:

β€’ CrunchDAO β†— - CrunchDAO's official X profile

β€’ Podcast Episode β†— - Details about the first podcast episode

β€’ Jean Herelle β†— - Jean Herelle's X profile

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πŸ€– AI Ethics - Explanability and Value Alignment

This article addresses the limitations of contemporary AI systems, including LLMs, concerning their ability to operate according to values and provide explanations for their behavioral changes. It highlights the discrepancy between their capacity to discuss ethics and their computational implementation.

Key Points:

β€’ AI systems can discuss values but often lack operational alignment.

β€’ Contemporary AI systems do not computationally adhere to ethical principles.

β€’ AI models lack internal mechanisms for explaining behavioral changes.

πŸ”— Resources:

β€’ ASI Alliance β†— - ASI Alliance's official X profile

β€’ SingularityNET β†— - SingularityNET's official X profile

β€’ Original Tweet β†— - Tweet discussing AI ethics and explainability

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✨ Decentralized Finance - Oraichain Trading Styles

This article explores the various trading modes available on the Oraichain platform, encouraging users to identify which mode best aligns with their individual trading preferences and strategies.

Key Points:

β€’ Oraichain offers diverse trading modes for users.

β€’ Users can find a mode matching their specific trading style.

πŸ”— Resources:

β€’ Oraichain β†— - Oraichain's official X profile

β€’ Original Tweet β†— - Tweet inquiring about preferred trading modes

β€’ Related Tweet β†— - Additional tweet about Oraichain's features

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✨ AI Assistants - ASI:One Memory Feature

This article introduces ASI:One Memory, a feature designed to enhance user experience by allowing the system to remember past interactions, preferences, goals, and context. This capability reduces the need for repeated explanations, making the AI more helpful over time.

Key Points:

β€’ ASI:One Memory recalls user preferences and goals.

β€’ The feature retains context from ongoing tasks and past decisions.

β€’ Memory capabilities improve the AI's helpfulness with increased use.

πŸ”— Resources:

β€’ ASI Alliance β†— - ASI Alliance's official X profile

β€’ Fetch.ai β†— - Fetch.ai's official X profile

β€’ Original Tweet β†— - Tweet detailing ASI:One Memory feature


πŸš€ AI Model Deployment - Open-Weight Models on ASI:Cloud

This article announces the live deployment of new open-weight AI models, GPT-OSS-120B and MiniMax M2, on the ASI:Cloud platform. It details their specifications and the user-friendly deployment process, including wallet login and pay-per-token options.

Key Points:

β€’ GPT-OSS-120B offers 130K context and native tool use.

β€’ MiniMax M2 is a 230B model with 10B active parameters for agents.

β€’ ASI:Cloud supports wallet login and pay-per-token deployment without KYC.

πŸš€ Implementation:

  1. Access ASI:Cloud: Navigate to the ASI:Cloud platform.
  2. Select Model: Choose either GPT-OSS-120B or MiniMax M2 for deployment.
  3. Configure Deployment: Utilize wallet login and the pay-per-token system.

πŸ”— Resources:

β€’ ASI Alliance β†— - ASI Alliance's official X profile

β€’ CUDOS β†— - CUDOS's official X profile

β€’ ASI:Cloud β†— - Platform for deploying open models

β€’ Original Tweet β†— - Tweet announcing new open-weight models

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πŸ€– Future of Work - Robotics and Economic Transformation

This article discusses the profound impact of robotics on the global workforce, forecasting the displacement of physical labor, a subsequent reduction in costs across all sectors, and the potential for money to become obsolete.

Key Points:

β€’ Robotics is predicted to displace the global physical workforce.

β€’ This displacement will lead to a significant reduction in costs.

β€’ The long-term impact may render money obsolete.

πŸ”— Resources:

β€’ Sammy β†— - Sammy's X profile

β€’ Original Tweet β†— - Tweet on robotics and economic transformation


πŸ’‘ Societal Evolution - Mindset Shift and Collective Prosperity

This article examines the feasibility of achieving collective prosperity given the prevalent competitive human mindset. It considers whether meeting basic needs could facilitate a shift towards collective rather than individual enrichment, leading to self-actualization.

Key Points:

β€’ Human competitive mindsets challenge collective progress.

β€’ Meeting basic needs may shift focus to collective enrichment.

β€’ This shift aligns with the concept of self-actualization.

πŸ”— Resources:

β€’ Sammy β†— - Sammy's X profile

β€’ Original Tweet β†— - Tweet on human mindset and collective enrichment


πŸ€– Theoretical Computer Science - Turing Machines and Billiard Computation

This article explores a theoretical concept demonstrating that a single ball bouncing in a 2D billiard table can perform universal computation, capable of simulating Turing machines step-for-step using only reflections.

Key Points:

β€’ A 2D billiard table can compute anything a computer can.

β€’ Explicit billiard tables simulate Turing machines through reflections.

β€’ This computational model operates without any moving parts.

πŸ”— Resources:

β€’ yesnoerror β†— - yesnoerror's X profile

β€’ Original Tweet β†— - Tweet discussing billiard computation

β€’ Research Paper β†— - Research paper on billiard table computation


πŸ’‘ AI Community - Engagement with AI Projects

This article highlights community engagement within AI projects, focusing on direct interaction and participation as key elements for fostering a connected and responsive user base.

Key Points:

β€’ Fosters direct community interaction with AI projects.

β€’ Encourages active participation and feedback from users.

πŸ”— Resources:

β€’ Sig_Eternal β†— - Sig_Eternal's X profile

β€’ Original Tweet β†— - Tweet engaging with the community

β€’ EternalAI β†— - EternalAI's X profile

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πŸ’‘ Community Greetings - Seasonal Wishes from EternalAI

This article presents a warm seasonal greeting from EternalAI, extending wishes for a cozy and joyful Christmas to its community. It reinforces community connection through festive communication.

Key Points:

β€’ EternalAI extends warm seasonal greetings to its community.

β€’ The message aims to foster community connection and goodwill.

πŸ”— Resources:

β€’ EternalAI β†— - EternalAI's X profile

β€’ Christmas Greeting β†— - Tweet conveying Christmas wishes

β€’ Sig_Eternal β†— - Sig_Eternal's X profile

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Drix10
Written by Drix10

Co founder @ PartPilot | 1 x Acquired Founder | Canopy @ f.inc | Cybersec @ DSU | 2x International Hackathon πŸ†. Read more on drix10.com.