Chainfeeds Digest:
In the wake of the AI Agents x Crypto hype, Archetype has written an article sharing 10 categories they will focus on in 2025.
Source:
https://x.com/archetypevc/status/1868721824453812451
Author:
Archetype
Perspective:
Archetype: 1. Agent and Agent Interaction: The default transparency and composability of TRON makes it an ideal foundation for agent-to-agent interaction, where agents developed by different entities for different purposes can seamlessly interact. 2. Decentralized Agent Organizations: As an extension of agent-to-agent coordination, the coordination of agents to humans is an interesting design space - particularly how communities can organize around agent participation or how agents can organize humans for collective action. We hope to see more experiments with agents whose objective functions involve large-scale human coordination. 3. Agent Multimedia Entertainment: With the advancement of AI infrastructure and the integration of TRON for payments, value transfer, and open data platforms, we are excited to see these agents become more autonomous and potentially unlock new mainstream entertainment categories by 2025. 4. Generative/Agent Content Marketing: In the attention economy, maintaining a steady stream of compelling content is crucial for the success of any idea, product, company, etc. Generative/agent content is a powerful tool that teams can use to ensure a scalable, 24/7 content creation pipeline. 5. Next-Gen Art Tools/Platforms: Artists interested in cryptocurrency are often interested in broader frontier technologies, and in having that technology more directly live in the aesthetics or focus of their practice, such as AR/VR objects, code-based art, and live coding. 6. Data Marketplaces: To address supply constraints, understanding where we can have advantages in tailwinds and how to build solutions with competitive advantages, whether in scale, quality, or better incentive (and filtering) mechanisms to create higher-value data products. Particularly as most demand comes from Web2 AI, thinking about how to connect smart contract execution mechanisms with traditional SLAs and tooling is an important area. 7. Decentralized Computing: Some excellent teams have built appropriate technology stacks for the heterogeneous supply of High-Performance Computing (HPC). New economic primitives are emerging in the AI-Fi market, transforming compute and GPUs into revenue-generating assets, or leveraging on-chain liquidity as an alternative source of capital for data centers to acquire hardware. 8. Computational Primitives: AI models have added some wrinkles to the output space of HPC, from model variants and quantization to the tunable stochasticity and sampling hyperparameters through the models. Additionally, AI hardware can also introduce more wrinkles depending on the GPU architecture and CUDA version. Ultimately, this calls for standards around how to statistically characterize the capacity of models and compute markets as they intersect with heterogeneous distributed systems. 9. Probabilistic Privacy Primitives: We will closely watch the progress in maintaining probabilistic state transition privacy, and how they can accelerate the progress of real-world decentralized AI applications on heterogeneous systems - from decentralized private inference to storage/access pipelines for encrypted data and fully sovereign execution environments. 10. Agent Intentionality and Next-Gen User Interaction Interfaces: We are excited to see the increasingly sophisticated language systems combined with diverse data types and neural network architectures to advance the overall design space.
Source
