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Decentralized AI Architecture for Thinking Machines

Dec 13, 2024, 7 tweets

What happens when robotics, AI, and blockchain converge? We’re excited to share OpenMind’s latest industry primer, a comprehensive exploration of robotics, AI, and blockchain synergy. Packed with insights into:

- Why Robotics, AI, and Blockchain?
- Key applications
- Major trends and blueprints

Kudos to the key contributors and reviewers who helped bring this primer to life. (1/7)

2/ According to @Forbes, the global robotics market will reach approximately $73.01 billion by 2030, up from $46.11 billion in 2024. Here’re some use cases of autonomous robots in different verticals.

3/ However, we have identified some key challenges for widespread robotic adoption:

- Limited observability in end-to-end models
- Data limitation and constraints in VLAM training
- Autonomy and reasoning challenges
- Limited real life interaction feedback
- Inter-robot communication/coordination challenges
- High costs with development, deployment and scalability

And here’s how we think AI and blockchain together can help.

4/ AI enhances intelligence and adaptability, empowering robotics to become smarter, more efficient, and highly reliable.

5/ Crypto enables coordination, transparency, and native incentives, empowering robotics systems to collaborate effectively and expand their capabilities efficiently.

6/ The future is inevitable: inside the primer, you will find major trends to watch from key players across robotics, AI and crypto, including:

Advanced Robotics Hardware: @BostonDynamics @UnitreeRobotics @Figure_robot @1x_tech @DeepRobotics_CN @Tesla @agilityrobotics @DiligentRobots @FourierRobots @NEURARobotics

Foundation Model for Robotics: @physical_int @SkildAI @IntrinsicAI @CovariantAI

AI Enhancements in Robotics: @IntuitiveSurg

Blockchain in Robotics: @NethermindEth @PrismaXai @MeckaAI @frodobots

Decentralized Compute: @hyperbolic_labs @kuzco_xyz @akashnet_ @exolabs

Decentralized Training: @bittensor_ @NousResearch @gensynai @PrimeIntellect

Token Incentivized Model Contribution: @SentientAGI @PondGNN

Data Privacy through Encryption: @zama_fhe @flock_io

Token Incentivized Data Systems: @withvana @getmasafi @driaforall @SaharaLabsAI @SapienGamified

Verified AI Inputs and Outputs: @ritualnet @OpenGradientAI @OpenledgerHQ

Agents: @myshell_ai @virtuals_io @ai16zdao

AI Info Engine: @_kaitoai

Smart Contract Auditing; @fuzzland_

Infrastructure: @CoinbaseWallet @CoinbaseDev @eigenlayer @PaymanAI @trySkyfire

7/ For more details, click to read the full version: openmind.org/research.html

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