Kasi

“More often than not, that was a tough sell. If you go to a business and tell it you can save it $50,000 per year in labor costs if it eliminates this one job, then your AI product better eliminate that entire job. Instead, what entrepreneurs found was that their product was perhaps eliminating one task in a person’s job, and that wasn’t going to be enough to save their would-be customer any meaningful labor costs. The better pitches were ones that were not focused on replacement but on value. These pitches demonstrated how an AI product could allow businesses to generate more profits by, say, supplying higher quality products to their own customers. This had the benefit of not having to demonstrate that their AI could perform a particular task at a lower cost than a person. And if that also reduced internal resistance to adopting AI, then that only made their sales task easier. The point here is that a value-enhancing approach to AI, rather than a cost-savings approach, is more likely to find real traction for AI adoption.”
― Ajay Agrawal, Power and Prediction: The Disruptive Economics of Artificial Intelligence

“With one hand disturbing a colony of parasitic life forms in his uncombed hair, he yawned loudly.
     ‘Morning Steve,’ Thomas said scratching his grubby face. His breath drifted across the space between them making Steve’s nose twitch involuntarily.”
― A.R. Merrydew, Our Blue Orange

“Even as a youngster, though, I could not bring myself to believe that if knowledge presented danger, the solution was ignorance. To me, it always seemed that the solution had to be wisdom. You did not refuse to look at danger, rather you learned how to handle it safely.”
― Isaac Asimov

“Finally, the fox gently pulled both ear loops outward at the same time to make a pretty bow on top of the bunny’s head. The tips of her ears, hung just at her cheek bones.”
― Sybrina Durant, Cleo Can Tie A Bow: A Rabbit and Fox Story