The AI Regulation Balancing Act
As generative AI models reach human parity on standardized tests, lawmakers are scrambling. According to an Oct 2023 survey, 68% of enterprise CTOs cite "regulatory uncertainty" as a barrier.
AI Model Size Growth (Parameters)
| Year | Model Name | Parameters (Billions) |
|---|---|---|
| 2019 | GPT-2 | 1.5 |
| 2020 | GPT-3 | 175 |
| 2022 | PaLM | 540 |
| 2023 | GPT-4 | Est. >1,000 |
Read our future of work analysis, antitrust implications, EU AI Act, quantum computing, AI diagnostics, datacenter emissions, edtech, data brokers, broadband access, internet speeds, AI hype, digital art, wearable tech, tech pioneers, cybersecurity, gadgets, crypto regulation, semiconductor supply, Section 230, space tech, and telehealth.
Common Mistakes in AI Adoption
- Assuming zero bias: Training data inherently contains historical biases.
- Ignoring data privacy: Sending proprietary code to public APIs can leak IP.