Generative AI | News, how-tos, features, reviews, and videos
The security of genAI models is iffy and takes a back seat to other issues, but with developers increasingly using genAI for code, it needs to become a priority.
Generative AI tools write code quickly, but need constant supervision and correction. They can be more harmful than helpful in the hands of junior engineers.
Following the crowd can be an expensive mistake—just ask the developers trying to make Kubernetes or AI fit.
Time and again, enterprises show that they are willing to put up with imperfect technology as long as they can get work done faster.
Want your digital initiatives to succeed? Put the business and tech teams in the same sandbox and let them work together.
Emerging AI governance tools offer a step toward visibility and control of what’s happening in a company’s AI applications.
Find the sweet spot where genAI boosts your productivity but doesn’t get you in over your head where you can’t tell good output from bad.
SB 1047 missed the mark. A far better solution to managing AI risks would be a unified federal regulatory approach that is adaptable, practical, and focused on real-world threats.
An AI startup is turning call centers into a successful model of using AI to support human employees.
The average user doesn’t want (or isn’t able) to decide which model to use or how to finesse a useful prompt. We need software applications that can handle this.
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