Are you sure you want to Remove your "Just delivered Milestone 4 of Neurosymbolics from Chaos in Language Models – Re. what aspects of skip vectors to preserve... I think only their predictive properties. I actually want to not so much preserve them as go beyond skip vectors. I want to go beyond them because I think they will change. I think the fact they change (are dependent on context) is what is holding up language models. And I also want to go beyond them because of and also related to exactly the "arbitrarily far apart" aspect above. Because I think allowing them to change as chaotic attractors should allow us to scrunch up or pull apart sub sequences at will. Like the "keep"->"apart" based skip vector which might consist of words like {keep stay move...} but should also be able to (at a higher energy of synchronization?) break down into k->a k->p... and then also k-(arp)a... skip vectors and overcome the "token" problem which so besets the LLM folks. And in the same way crunch down even more so we get skip vectors for pairs of words and longer... So we'll finally be able to get hierarchy and logical/parse structure. (Though in detail going below words into letters skip vectors/shared context as such probably only influences some broad phonetic effects at the sub-word level and "letters" or phonemes are probably ruled more by things other than skip vector shared context. But above the world level this should enable us to find phrases etc. for the first time. Structure you can use to build an algebra and reason over.)" post ?

Are you sure you want to Remove your "Just delivered Milestone 1 of MeTTa Demo: Sequence Learning – In this phase, some basic data-structures that are needed in the sequence learning model will be implemented, including "Column", "Node", "Layer", "Link", "Bundle", "Memory", "TruthValue", and so on. For each of the type, the related basic functions will implemented. Test-cases will be defined and implemented." post ?

Are you sure you want to Remove your "Just delivered Milestone 2 of Chimera: Evolving Software – Milestone/Month 2 will focus on the first comprehensive proof of concept: a self-healing HTTP server in Python. It will be broken down as: WEEK 1-2: - FastAPI server monitoring implementation - Basic error pattern recognition - Simple healing pattern evolution - Performance metrics tracking WEEK 3-4: - Demo: Self-healing HTTP server - Error injection testing - Pattern effectiveness measurement - Basic documentation of findings" post ?

Are you sure you want to Remove your "Just delivered Milestone 3 of Chimera: Evolving Software – Milestone/Month 3 will focus on the second and third PoCs: a database query optimizer and a mapper of NL queries to MeTTa expressions. It will be broken down as: WEEK 1-2 (Query Optimization): - PostgreSQL query monitoring - Query pattern recognition - Evolution of query optimizations - Performance benchmarking WEEK 3-4 (NL to MeTTa): - NL pattern recognition system - Basic MeTTa expression generation - Pattern evolution for translations - Accuracy testing framework" post ?

Are you sure you want to Remove your "Just delivered Milestone 4 of Integrate Twin Protocol into Incantio Platform – Working through questions with artists, figuring out minimum data and recordings needed for creating an audible twin for artists. I.e. polling artists on Incantio which questions would be most useful to be answered. Working with Twin to find the right amount of uploaded data to provide relevant answers to these questions and the best formats for recording and collecting the information for their generation" post ?

Are you sure you want to Remove your "Just delivered Milestone 5 of Integrate Twin Protocol into Incantio Platform – Building in a rewards and points based system has always been part it Twins plan for letting users "pay" as they go, and creating rewards within the platform for data and engagement." post ?

Are you sure you want to Remove your "Just delivered Milestone 4 of Neurosymbolics from Chaos in Language Models – Re. what aspects of skip vectors to preserve... I think only their predictive properties. I actually want to not so much preserve them as go beyond skip vectors. I want to go beyond them because I think they will change. I think the fact they change (are dependent on context) is what is holding up language models. And I also want to go beyond them because of and also related to exactly the "arbitrarily far apart" aspect above. Because I think allowing them to change as chaotic attractors should allow us to scrunch up or pull apart sub sequences at will. Like the "keep"->"apart" based skip vector which might consist of words like {keep stay move...} but should also be able to (at a higher energy of synchronization?) break down into k->a k->p... and then also k-(arp)a... skip vectors and overcome the "token" problem which so besets the LLM folks. And in the same way crunch down even more so we get skip vectors for pairs of words and longer... So we'll finally be able to get hierarchy and logical/parse structure. (Though in detail going below words into letters skip vectors/shared context as such probably only influences some broad phonetic effects at the sub-word level and "letters" or phonemes are probably ruled more by things other than skip vector shared context. But above the world level this should enable us to find phrases etc. for the first time. Structure you can use to build an algebra and reason over.)" post ?

Are you sure you want to Remove your "Just delivered Milestone 6 of NIM Framework | Framework for integrating AI services in Singularity Marketplace and bots in Matrix | Matrix Messenger – Since we plan to work with AI services from Singularity we will need consultations with their Snet SDK and Snet Marketplace development team for the correct operation of our framework." post ?

Are you sure you want to Remove your "Just delivered Milestone 4 of NIM Framework | Framework for integrating AI services in Singularity Marketplace and bots in Matrix | Matrix Messenger – We assume that 25% of the budget may be available for testing the work of the first AI services in our messenger. This will allow us to check the functionality of the framework at the first stages of development." post ?

Are you sure you want to Remove your "Just delivered Milestone 3 of Productivity EEG-AI Agents – 1. Implement GRPPO-RL (Group Relative Policy Optimization Reinforcement Learning) to enhance model adaptability. 2. Train the RL model using the newly collected EEG data allowing it to dynamically adapt to individual user patterns. 3. Optimize the AI model by incorporating reinforcement learning ensuring improved cognitive state prediction." post ?

Are you sure you want to Remove your "Just delivered Milestone 1 of Productivity EEG-AI Agents – 1. Recruit participants to collect new EEG data for refining the AI model. 2. Integrate advanced EEG feature extraction techniques to ensure better signal clarity. 3. Expand the existing dataset by collecting more sessions per user to improve model accuracy. " post ?

Are you sure you want to Remove your "Just delivered Milestone 4 of Productivity EEG-AI Agents – 1. Develop a user-friendly dashboard to visualize EEG insights and AI recommendations. 2. Conduct beta testing with users to gather feedback on AI-generated focus trends. 3. Refine the UX/UI to ensure ease of use and accessibility for a general audience." post ?

Are you sure you want to Remove your "Just delivered Milestone 9 of SIBYL: The General-Purpose Forecaster – Description: disburse remaining API funds for production hosting, maintenance, and usage incentivization on-demand." post ?

Are you sure you want to Remove your "Just delivered Milestone 8 of HiveMind – augmented Q&A bot and P2P knowledge base – HiveMind is piloted with the P2P foundation knowledge base (includes $500 for infrastructure costs)" post ?

Are you sure you want to Remove your "Just delivered Milestone 10 of HiveMind – augmented Q&A bot and P2P knowledge base – Outreach campaign to market the bot, gather feedback, and inform next steps. (Via TogetherCrew channels and amplified by RnDAO, with optional amplification by Singularity Net)." post ?

Are you sure you want to Remove your "Just delivered Milestone 5 of Decentralized Digital Identity (DDI) Research – 5.1 Consolidation of Research & Protocols Compile all findings, integration protocols, and architectural documents into a final, cohesive report. Ensure clarity on identity integration, privacy/data protection, and compatibility with the SingularityNET ecosystem. 5.2 Preparation of Detailed RFPs Produce 2–3 RFP documents covering: Development of the DDI Hub (sub-IDs, wallet aggregator, user-facing logic). Integration and privacy-preserving data exchange with the Reputation Platform & Voting Portal (ZKP modules, etc.). Future expansions (soulbound tokens, external KYC modules, advanced compliance features). Clearly outline scope, deliverables, and technical requirements to guide potential implementers. " post ?

Are you sure you want to Remove your "Just delivered Milestone 3 of Decentralized Digital Identity (DDI) Research – (simplied due to char limit) Vendor Assessment & Tech Spec - Evaluate DDI/KYC vendors (SaaS vs. on-premise ZKP) against EU Digital Identity Wallet requirements. - Produce a technical specification covering integration points, data flows, and compliance. WaLT & ID Mapping Enhancement - Expand WaLT as the core user ID repository to aggregate wallet addresses and identity attributes. - Investigate integrating verified identity data from multiple DDI sources (e.g., Gitcoin Passport, Privado, Open Passport, Identus) for a unified ID. - Coordinate with the Reputation Service to minimise data collisions, map microservice outputs to a unique UID, and compute consolidated reputation scores. - Establish a real-time feedback loop with the Reputation Platform team. Exploration of Advanced Features - Explore cryptographic solutions like Zero-Knowledge Proofs for sub-ID creation and event-specific identity generation, ensuring pseudonymity and unlinkability. - Consider emerging standards such as reputation-based DDI weighting, soulbound tokens, community recovery for lost credentials, and expanded user-managed privacy controls. Modular Architecture Blueprint - Develop a blueprint that supports easy integration of current and future DDI solutions, with configuration options for user-controlled data storage and modular identity components." post ?

Are you sure you want to Remove your "Just delivered Milestone 4 of Decentralized Digital Identity (DDI) Research – 4.1 Security Evaluation & Threat Mitigation Propose security measures to protect against vulnerabilities in the DDI hub (Sybil attacks, collusion, key compromise, etc.). Ensure resilience against double voting or multiple sub-IDs in high-stakes votes. Address how to handle private key compromises or lost/stolen credentials without compromising user privacy. 4.2 KYC & ZKP Solution Evaluation Evaluate potential KYC and ZKP solutions for suitability, including both SaaS and on-premise options. Collaborate with experts (e.g., cryptography specialists at SPRIN-D) to determine best practices around advanced ZKP capabilities. Investigate integration with existing decentralised identity/KYC frameworks and the EUDI Wallet. 4.3 Legal & Compliance Checklist Research legal and compliance best practices (GDPR, CCPA, MiCA, etc.) to ensure data protection and privacy standards. Summarise the product’s readiness for expansion into EU markets, especially regarding EUDI Wallet interoperability. Produce a security compliance checklist for all relevant regulations and frameworks. " post ?

Are you sure you want to Remove your "Just delivered Milestone 2 of Modular Adaptive Goal and Utility System (MAGUS) – This milestone focuses on testing and refining MAGUS’s adaptive goal structures in simulated environments, ensuring the system dynamically adjusts based on internal states and external stimuli. Additionally, exploratory prototyping will begin, investigating how MAGUS might interact with symbolic and sub-symbolic reasoning architectures. This includes studying potential interfaces with cognitive frameworks such as OpenCog Hyperon, PLN, and NARS, as well as more general AI decision-making systems. While no direct integration will be attempted, this milestone will evaluate the feasibility of such connections, ensuring MAGUS remains modular and adaptable to evolving AGI architectures." post ?

Are you sure you want to Remove your "Just delivered Milestone 3 of Modular Adaptive Goal and Utility System (MAGUS) – This milestone expands the decision-making framework by introducing metagoals and anti-goals, allowing MAGUS to self-optimize and regulate goal-setting dynamically. Metagoals enable the system to refine goal promotion and demotion mechanisms, optimizing long-term coherence. Anti-goals serve as constraints, discouraging actions that conflict with overarching priorities (e.g., energy efficiency, risk avoidance). Additionally, given the uncertainty around Hyperon’s action planning system, this milestone explores basic goal-directed action planning, potentially implementing a simple planner or behavior tree to demonstrate MAGUS in action." post ?

Are you sure you want to Remove your "Just delivered Milestone 4 of Modular Adaptive Goal and Utility System (MAGUS) – The final milestone focuses on testing MAGUS’s adaptability, ethical constraints, and decision-making robustness. The system will undergo simulated ethical dilemmas to validate its ability to balance autonomy, fairness, and risk mitigation. Additionally, this milestone will assess the feasibility of integrating MAGUS with existing AI architectures, particularly how it could interface with symbolic reasoning and planning systems. If applicable, exploratory tests will be conducted with general AI frameworks to refine integration pathways. A formal research paper summarizing MAGUS’s development, testing, and future directions will be prepared, ensuring broad dissemination of findings." post ?

Are you sure you want to Remove your "Just delivered Milestone 5 of MeAI tool for healthcare system" post ?

Are you sure you want to Remove your "Just delivered Milestone 3 of Farmlingua – This milestone involves the development and integration of speech-to-text (STT) and text-to-speech (TTS) functionalities to ensure ease of use for farmers who may have limited literacy. These features will allow farmers to speak queries into the platform and receive responses in audio format, ensuring accessibility for all users. The STT system will work with diverse accents, and the TTS system will provide clear, localized audio responses. " post ?

Are you sure you want to Remove your "Just delivered Milestone 1 of Deep SYBIL: The Deep Learning Forecaster – This milestone represents the required reservation of 25% of your total requested budget for API calls or hosting costs. Because it is required we have prefilled it for you and it cannot be removed or adapted." post ?

Are you sure you want to Remove your "Just delivered Milestone 12 of Deep SYBIL: The Deep Learning Forecaster – Integrate D-SYBIL service into the original SYBIL service with MAUQ for probabilistic forecasts" post ?

Are you sure you want to Remove your "Just delivered Milestone 5 of Computer vision based farm status and recommender system" post ?

Are you sure you want to Remove your "Just delivered Milestone 8 of Composable AI from Appstorm@Zero2AI – Onboarding and related cost" post ?

Are you sure you want to Remove your "Just delivered Milestone 7 of MAUQ: Convert any Model Point Prediction into a Probabilistic Prediction – MAUQ v0.4: Conformal Predictive Intervals (CPD)" post ?

Are you sure you want to Remove your "Just delivered Milestone 5 of The DAM: Decentralized Autonomous Marketplace – Publish a core requirements roadmap across the various disciplines, including: - No Code UI Builder for End Users - Public Components Library / App Marketplace - Payments Layer and multi-chain connectivity - Data Warehousing / LLMs - Curate a long list of likely AI services required on the DAM and hopefully discover the most important services that we can pitch in a future New Projects Pool round of Deep Funding. Ideas so far that we are most interested in as core to the platform vision include: personalized feeds with semantic search, including user controlled content moderation and privacy controls, and also a recommendations engine that introduces users to apps available in the app store based on the types of content users interact with. Lead-Time: 2 months" post ?

Are you sure you want to Remove your "Just delivered Milestone 1 of Jam Galaxy Roblox Game – Bringing SNet to 70M Daily Users – This milestone represents the required reservation of 25% of your total requested budget for API calls or hosting costs. Because it is required we have prefilled it for you and it cannot be removed or adapted." post ?

Are you sure you want to Remove your "Just delivered Milestone 5 of Building an Exponential Tech Learning Community – Deliver Module 1 of course including content creation Content Delivery Community Management and community delivery" post ?

Are you sure you want to Remove your "Just delivered Milestone 6 of Building an Exponential Tech Learning Community – Deliver Module 2 of course including content creation Content Delivery Community Management and community delivery" post ?

Are you sure you want to Remove your "Just delivered Milestone 7 of Building an Exponential Tech Learning Community – Deliver Module 3 of course including content creation Content Delivery Community Management and community delivery" post ?

Are you sure you want to Remove your "Just delivered Milestone 8 of Building an Exponential Tech Learning Community – Deliver Module 4 of course including content creation Content Delivery Community Management and community delivery" post ?

Are you sure you want to Remove your "Just delivered Milestone 9 of Building an Exponential Tech Learning Community – Deliver Module 5 of course including content creation Content Delivery Community Management and community delivery" post ?