The text discusses the potential dangers and vulnerabilities associated with large language models and AI-powered systems. It highlights the real harms caused by biased systems and the environmental impact of computing power used by language models. The text also emphasizes the misuse of AI language models and the ease with which they can be manipulated to carry out malicious activities, such as spam and phishing attacks. The author argues that the rush to deploy these models without proper consideration for security risks is leading to a glitchy and scammy internet. Overall, the text raises concerns about the ethical implications and risks posed by AI language models and calls for greater attention to be paid to these issues.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Glitchy, spammy, scammy AI-powered internet | From a functional and secure internet | Increased vulnerability and risks | Rush to embed flawed AI models |
| Misuse of AI language models | From responsible use to misuse | Increased ease of misuse and no fixes | Lack of awareness and oversight |
| AI language models as engines for spam and phishing | From AI models being secure | Increased risk of spam and phishing | Hackers exploiting vulnerabilities |
| Risk of compromised AI models | From secure AI models to compromised ones | Increased risk of compromised models | Accidental bugs in training data sets |
| Insecure software due to prompt injection | From secure software to insecure software | Increased risk of insecure systems | Lack of knowledge about prompt injection |
| Incentive for malicious actors to use AI for hacking | From limited incentive to increased incentive | Increased risk of hacking | Growing adoption of AI language models |
| Italy bans ChatGPT over privacy violations | From unrestricted use to restricted use | Potential regulation of AI technology | Violation of Europe’s data protection regime |
| Google and DeepMind compete with OpenAI | From separate efforts to joint effort | Development of rival language model | Competition among tech giants |
| BuzzFeed publishes AI-generated articles | From human-written articles to AI-generated articles | Increased use of AI in content creation | Experimenting with AI writing assistance |
| Meta makes LLaMA 2 AI model open source | From proprietary AI model to open source | Increased accessibility of AI models | Competitive advantage over rivals |
| AI outsourcing AI training work | From humans training AI to AI training AI | Introduction of further errors into models | Efficiency and automation in AI training |
| AI transforming the way science is done | From traditional science to AI-powered science | Exciting advancements in scientific research | Potential for significant scientific breakthroughs |
| AI’s ability to make money | From AI as a tool to AI as a money-maker | AI’s potential to generate significant revenue | Driving AI development and innovation |