Decentralized AIโ€ขโ€ข7 min readโ€ข1299 words

๐Ÿ“ AI Agent Evaluation: Beyond Code Correctness

โšกDirect Technical Summary

AI agents are increasingly being used in various applications, including software development. However, evaluating the performance of these agents is crucial to ensure they are wor

๐Ÿ“ AI Agent Evaluation: Beyond Code Correctness

AI agents are increasingly being used in various applications, including software development. However, evaluating the performance of these agents is crucial to ensure they are working correctly. A recent client engagement highlighted the importance of going beyond code correctness when evaluating AI agents.

Key Points:

  • **

  • Agent Evaluation Metrics: Traditional metrics such as code correctness are not sufficient to evaluate AI agents. Other metrics such as performance, reliability, and maintainability should also be considered.

  • Human-in-the-Loop: Human evaluation and feedback are essential in ensuring that AI agents are working correctly and meeting the required standards.

  • Continuous Monitoring: Continuous monitoring of AI agent performance is necessary to detect any deviations from expected behavior.

Actionable Takeaway:

  • Develop a comprehensive evaluation framework: Develop a framework that includes multiple evaluation metrics, human-in-the-loop feedback, and continuous monitoring to ensure that AI agents are working correctly and meeting the required standards.

๐Ÿ”— Resources:


๐Ÿ“ˆ Tiny Neural Cellular Automata (NCAs)

Tiny neural cellular automata (NCAs) have been shown to be highly effective in few-shot learning applications. Recent research has demonstrated that NCAs can outperform equally sized recurrent and feed-forward networks on the MNIST dataset, even when images are shrunk to 25% of their size.

Key Points:

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  • NCA Architecture: NCAs consist of a small number of parameters and a simple architecture, making them highly efficient and scalable.

  • Few-Shot Learning: NCAs have been shown to be highly effective in few-shot learning applications, where the model is trained on a small number of examples and then tested on a new, unseen dataset.

  • MNIST Dataset: NCAs have been shown to outperform equally sized recurrent and feed-forward networks on the MNIST dataset, even when images are shrunk to 25% of their size.

Actionable Takeaway:

  • Explore NCA Architecture: Explore the NCA architecture and its applications in few-shot learning, and consider using NCAs in your own projects.

๐Ÿšจ AI Slop: A Productivity Tax

AI slop is becoming a significant productivity tax, as the cost of generating information is approaching zero, but the cost of filtering it is not. This highlights the need for more effective information filtering and management techniques.

Key Points:

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  • AI Slop: AI slop refers to the vast amount of irrelevant or low-quality information generated by AI systems.

  • Productivity Tax: AI slop is becoming a significant productivity tax, as it requires significant time and effort to filter and manage.

  • Information Filtering: Effective information filtering and management techniques are necessary to mitigate the impact of AI slop.

Actionable Takeaway:

  • Develop Effective Information Filtering Techniques: Develop and implement effective information filtering techniques to mitigate the impact of AI slop and improve productivity.

๐Ÿ“š OpenAI's Independent Advisory Group

OpenAI has established an independent advisory group of mathematicians to help responsibly share advances in AI and mathematics. The group will advise on how to assess and communicate new mathematical results, uphold academic and professional standards, and build tools that promote responsible AI development.

Key Points:

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  • Independent Advisory Group: OpenAI has established an independent advisory group of mathematicians to provide guidance on responsible AI development.

  • Mathematical Results: The group will advise on how to assess and communicate new mathematical results to promote responsible AI development.

  • Academic and Professional Standards: The group will uphold academic and professional standards in AI research and development.

Actionable Takeaway:

  • Support OpenAI's Efforts: Support OpenAI's efforts to promote responsible AI development through the establishment of an independent advisory group.

๐Ÿ“ˆ Bitcoin's Growth Rate

Bitcoin's growth rate is expected to continue, with some predictions suggesting it could reach 7% of the world's capital in the next 21 years. This would represent a significant increase from its current 0.1% market share.

Key Points:

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  • Bitcoin's Growth Rate: Bitcoin's growth rate is expected to continue, with some predictions suggesting it could reach 7% of the world's capital in the next 21 years.

  • Market Share: Bitcoin's current market share is 0.1%, but it is expected to increase significantly in the next 21 years.

  • Long-Term Target: The long-term target for Bitcoin's growth is $13 million over 21 years.

Actionable Takeaway:

  • Monitor Bitcoin's Growth: Monitor Bitcoin's growth rate and market share to understand its potential impact on the global economy.

๐Ÿคฏ Human Consciousness and AI

Recent research has suggested that humans may think in neuralese, with qualia being vectors and continuity of consciousness being a form of KV caching. This has significant implications for the development of AI systems that can understand and replicate human consciousness.

Key Points:

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  • Neuralese: Humans may think in neuralese, with qualia being vectors and continuity of consciousness being a form of KV caching.

  • AI Systems: AI systems that can understand and replicate human consciousness are being developed.

  • Implications: The implications of this research are significant, with potential applications in fields such as psychology, neuroscience, and AI development.

Actionable Takeaway:

  • Explore Human Consciousness: Explore the concept of human consciousness and its implications for AI development.

๐Ÿš€ Automating Lead Follow-Ups

Automating lead follow-ups can be a significant time-saver for businesses. Pond offers a platform for automating lead follow-ups, allowing businesses to focus on more strategic tasks.

Key Points:

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  • Automating Lead Follow-Ups: Automating lead follow-ups can be a significant time-saver for businesses.

  • Pond Platform: Pond offers a platform for automating lead follow-ups.

  • Benefits: The benefits of automating lead follow-ups include increased efficiency and productivity.

Actionable Takeaway:

  • Explore Pond Platform: Explore the Pond platform and its capabilities for automating lead follow-ups.

๐Ÿ”’ Local Signing Mode

The apps have a local signing mode, which allows for signing transactions without relay servers. This provides an additional layer of security and control for users.

Key Points:

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  • Local Signing Mode: The apps have a local signing mode that allows for signing transactions without relay servers.

  • Security: The local signing mode provides an additional layer of security and control for users.

  • Benefits: The benefits of the local signing mode include increased security and control.

Actionable Takeaway:

  • Explore Local Signing Mode: Explore the local signing mode and its benefits for users.

๐Ÿš€ Decentralized Marketplace for AI Services

A decentralized marketplace for AI services is being developed, where miners compete by submitting compression algorithms that make AI workloads more efficient. Validators test and score miners on their performance.

Key Points:

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  • Decentralized Marketplace: A decentralized marketplace for AI services is being developed.

  • Miners: Miners compete by submitting compression algorithms that make AI workloads more efficient.

  • Validators: Validators test and score miners on their performance.

Actionable Takeaway:

  • Explore Decentralized Marketplace: Explore the decentralized marketplace and its potential applications in AI development.

๐Ÿš€ Claude New Plugin

Claude New is a plugin that uses the Claude SDK without the tradeoffs, enabling Claude Code subscriptions to work in Hermes Agent again. Check it out and install it here: https://hermes-agent.nousresearch.com/docs/plugins/claudesubscription-directsdk โ†—

Key Points:

Actionable Takeaway:

  • Install Claude New Plugin: Install the Claude New plugin to enable Claude Code subscriptions in Hermes Agent.
๐Ÿ“‚Source / Implementation:Decentralized AI / resources-236.md
GitHub Repositoryโ†—

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Drishtant Ghosh (Drix10)
Drishtant Ghosh (Drix10)โ€ขAuthor & Engineer

Technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

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