1. Costs of AI Development
2. Data Centralization: Ethics and Accessibility
3. Organizations Building Open Access AI Training Datasets

Building and supporting modern AI models require significant investments. Experts estimate that these costs may reach billions of dollars in the near future.

Costs of AI Development

This expenditure is mainly due to computing power using entities like Nvidia GPUs that cost about $30,000 each. The quality and quantity of training data are also crucial. James Betker of OpenAI states that model performance depends more on data than on design. According to Dario Amodei, CEO of Anthropic AI, training current models like ChatGPT-4 costs around $100 million.

Data Centralization: Ethics and Accessibility

The high cost of quality data constrains AI development to large companies. This raises concerns about technology availability and misuse. Companies spend hundreds of millions on data licenses, leading to questionable practices, such as using unauthorized data.

Organizations Building Open Access AI Training Datasets

Organizations like EleutherAI and Hugging Face aim to create large open datasets for AI development. Strategies such as synthetic data generation and curriculum learning are highlighted as potential solutions, though their efficacy is yet to be proven.

AI development requires immense costs, raising ethical and accessibility issues related to centralized data. Independent organizations work towards creating open datasets to mitigate these barriers.