Daily Coin Research: Three Blockchain Projects Advancing AI Development

"Daily Coin Research" has compiled the current challenges faced by the AI industry and the solutions currently provided by the blockchain industry. The report also gives examples of three blockchain projects involved in AI-related fields.

Issues to be Solved in the AI Industry

"Daily Coin Research" report indicates that the main issues currently faced by the AI industry include:

1. High computational resource demand: AI algorithms, especially machine learning and deep learning, require a large amount of computing power to process data and train models.

2. GPU shortages and high costs: Efficient GPUs are well-suited for AI computing, but due to a significant increase in demand, prices have risen and supply is insufficient. The volatility of the cryptocurrency market also affects the supply and demand for GPUs.

3. Limited hardware production: Chip manufacturers like TSMC have limited production capacity, unable to meet the demands of all AI companies, resulting in supply shortages.

4. High operational costs: AI companies need to choose between hardware facilities and expensive cloud services, both requiring substantial financial investment.

5. Closed systems reduce efficiency: Many companies independently train models within closed systems, which hinders resource sharing, raises the barrier to research and development, and may lead to market monopolies.

6. Exploring solutions: Faced with high costs and low efficiency, the industry is exploring decentralized technologies such as distributed computing power and open computing networks as potential solutions.

ChatGPT comments that the above seems like a reasonable summary based on facts. However, the actual applications and efficiency of "decentralized computing" and "distributed computing power" still need time to be verified.

How Blockchain Enters AI?

"Daily Coin Research" report states that the computational power required by AI systems doubles every few months, with expenses expected to reach nearly $300 billion by 2026. Due to limited hardware resources, the industry urgently needs more efficient and cost-effective solutions. Sam Altman, co-founder of OpenAI, predicts that the era of large models will end due to increasing costs and hardware limitations. To address the surge in global demand for computational power, people are attempting to break down the AI processing process and propose distributed computing power and open computing networks as potential solutions through blockchain technology. "The process of AI from data storage > data preprocessing > model training > model fine-tuning > model deployment is being dissected and optimized separately," according to "Daily Coin Research."

Three AI-Related Projects

"Daily Coin Research" report highlights three projects:

• Akash is the world's first decentralized cloud computing marketplace (DeCloud), primarily matching users with computational needs and users or suppliers with idle computational resources to effectively trade computational resources.
• Gensyn is similar to Akash; it aggregates idle resources (including Macbooks and iPhones) to allow users to rent out their computational power to assist in training models when not in use, earning corresponding rewards. This makes the machine learning computation protocol an invisible network, providing the foundational resources needed to enter the next scale of the computing revolution.
• Bittensor On-chain miners accelerate learning and optimize outputs to create more powerful AI models by providing specialized intelligence, knowledge, and technology for specific models, sharing the results, and receiving reward tokens $TAO, essentially creating an information market for AI.

Read the full article: New Investment Track - What are the Opportunities at the Bottom of Blockchain AI? Analysis of the Potential of Akash, Gensyn, and Bittensor 3 Projects