AI Top-of-Mind for Dec 4
On the creative front, more on the accuracy of DALL-E3 given proper prompting. The goal is to maintain ‘character consistency’ across different images as discussed in ‘Bootcamp.’ A parallel article in ‘Artificial Intelligence in Plain English’ on the types of errors and distortions we sometimes experience. And the evolution of Photoshop’s AI tools and how to use them for new compositions
Another rundown of the past year in AI, this time from ‘Axios.’ The article looks at the different innovations we’ve seen through 2023 including a link to some of the most useful custom GPTs.
If you have a subscription to the ‘NY Times,’ a detailed look at the last eight years of AI development, and where it all began between Larry Page and Elon Musk back in 2015. From the article:
As the discussion stretched into the chilly hours, it grew intense, and some of the more than 30 partyers gathered closer to listen. Mr. Page, hampered for more than a decade by an unusual ailment in his vocal cords, described his vision of a digital utopia in a whisper. Humans would eventually merge with artificially intelligent machines, he said. One day there would be many kinds of intelligence competing for resources, and the best would win.
If that happens, Mr. Musk said, we’re doomed. The machines will destroy humanity.
With a rasp of frustration, Mr. Page insisted his utopia should be pursued. Finally he called Mr. Musk a “specieist,” a person who favors humans over the digital life-forms of the future.
That insult, Mr. Musk said later, was “the last straw.”
A look to how the government could leverage AI to better analyze the vast amounts of cybersecurity data it gathers. From a General Dynamics study:
· Some 41% of respondents found themselves “submerged in data,” with more than 30% saying they needed more skilled personnel and more-efficient analytics to handle it.
· More than one-quarter already see the value in AI for cybersecurity, namely for real-time threat detection and automated countermeasures.
· Human error was the most significant issue, the study found.
Many of us still don’t like virtual meetings, but the ‘Harvard Business Review’ makes a case that AI could soon help. It looks at the components of a successful meeting and how they need to be mapped into the virtual environment:
· Personalized content tailored to learning styles
· Purpose alignment
· Bias detection and prevention
· Collective and individual learning promotion
The article then looks at 12 ways to incorporate Generative AI into meetings.
Finally, turning to retail, ‘ZDNet’ looks at Cyber Week and how AI helped drive sales via Generative AI-powered chat services, recommendations, targeted offers, and others. And it looks at three phases of AI assistants:
- Phase I: Assistant — The AI assistant listens to what you want and delivers exactly that.
- Phase II: Concierge — The AI concierge listens to your command and provides what you want plus additional useful information.
- Phase III: Agent — The AI agent can do all the same things as an assistant or concierge, but it can also perform actions without being asked. Think of this third phase as an executive assistant to whom you’ve ceded control of your email, calendar, and expenses.
