AI went viral among attorneys. We have the numbers on what happened next.
Hallucinations don’t fly in a court of law
For a sector at the heart of US economic growth, AI claims and counter-claims remain curiously hard to reconcile. Models are improving at the speed of light, AI firms claim, yet the message from the codeface remains that benefits are more than offset by the downsides.
AI can make you a 10x coder, if you spend 10x time in preparation, wrangling, and error checking. You can deploy AI agents, as long as you deploy other AI agents to watch them. AI-generated code needs AI-generated tests to cope with increased volume, and look at what that does to infrastructure stress.
Polarized opinion and commercially mandated claims have created quite the fog over the AI-coding battlefield. It’s much worse in other sectors, where AI has fewer quality metrics and visible critical analyses. If only there were a well-defined area with a long history of rules-based data quality dependency, transparency, and frameworks for enforcing truth and professional standards. If that saw a sudden uptake in AI usage, we could see exactly what the tech actually does.
Related Knowledge Center: Artificial intelligence
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State of the business model | Copyright and intellectual property