AI Overviews from Google unleashes at Massive Scale

With AI Overviews in Search, it’s easier than ever for people to find the information they need and discover relevant sites across the web, which opens up more opportunities to connect with publishers, businesses and creators.

Since launching in May and expanding beyond the U.S. in August, the feedback we’ve received for AI Overviews has been highly positive. People prefer using Search with AI Overviews, and they find their search results more helpful.

Read More: Google

New Book: Personalized: Customer Strategy in the age of AI

Fascinating interview featuring Terence Mauri, founder of the Hack Future Lab, and author of The Upside of Disruption, Mark Abraham, Senior Partner at Boston Consulting Group (BCG) and co-author of Personalized, David Edelman, Senior Lecturer at Harvard Business School and co-author of Personalized and Jon Reed, Cofounder at diginomica. Terence Mauri emphasizes the importance of bold decisions and the need for #leaders to adapt to the rapid changes brought by AI. He introduces the concept of "warm AI" versus "cold AI," advocating for #AI that prioritizes #humanity. Mark Abraham and David Edelman discuss the potential of AI in #personalization, highlighting that only 10% of brands effectively use #customer data, leading to $2 trillion in incremental growth. They stress the importance of integrating AI with human judgment and creativity. Jon Reed critiques the overhyped promises of AI and underscores the need for responsible AI implementation. DisrupTV is a weekly podcast with hosts R "Ray" Wang and Vala Afshar.

Brought to you by Constellation Executive Network: constellationr.com/CEN. YouTube channel: https://lnkd.in/gSw27hBU ; Apple podcast: https://lnkd.in/gZvQPt4

Hear from The Atlantic CEO Nicholas Thompson as he brings his hit virtual series, “The Most Interesting Thing in Tech,” live to the Innovation Stage.

The digital revolution promised to empower democracies, yet over the past generation, it seems to have strengthened authoritarian regimes instead. This paradox has become one of the most pressing issues in technology today. While factors like the Iraq War played a role, the rise of authoritarianism is largely a technological story. Four key factors contribute to this phenomenon.

First, the overwhelming speed of information flow has challenged democratic systems, with social media algorithms outpacing traditional democratic processes. Second, contrary to early predictions, authoritarian states have successfully controlled and censored digital technologies. Third, technology has exacerbated income inequality, concentrating power among the highly educated and in urban areas. Finally, the weakening of traditional press due to the shift in advertising models has further undermined democratic institutions.

As we enter the age of AI, we must consider how these factors will evolve. Will AI help counter conspiracy theories or further blur the lines between human and machine interactions? Could AI potentially counteract the centralizing tendencies of technology in dictatorships? Early economic studies suggest AI might actually benefit lower-income individuals more than higher earners, potentially addressing income inequality. There's also hope that AI could empower news media to use technology more effectively.

The challenge now is to ensure that this next era of technology strengthens democracies rather than empowering authoritarian regimes. As we navigate this complex landscape, it's crucial to remain vigilant and proactive in shaping the impact of AI on our societies and political systems.

Sad Boomers, Sober Zoomers, Sidelined Gen Xers (again), and No Avotoast for Millennials

AI is creating fascinating images of different generations, from Baby Boomers to Gen Z, and the results challenge some of our assumptions. A new study used AI image models to depict each generation, confirming some stereotypes while also highlighting unexpected insights like the loneliness of Boomers and the stress faced by Gen Z.

• AI-generated images offer a unique perspective on generational stereotypes.

• The study revealed both expected and unexpected characteristics associated with each generation.

• AI is still learning how to accurately portray the complexities of different age groups.

Read More: TuringPost AIPort