Generative AI Weekly - Mar. 21, 2024

March 21, 2024

The theme for this week seems to be about a broad set of companies intent on showcasing to employees, press, and investors how they are utilizing generative AI.

  • Under Armour launches AI-driven ad
  • How Coca-Cola Harnessed Generative AI. Key stats in the case study:
    • 10-30X faster concept iteration cycles with greater variety surfaced
    • High employee motivation to reskill in AI tools adoption
    • Enhanced branding consistency and cost economies from asset modification enablement
    • 38% higher audience testing scores assessing creative resonance
  • Digiday article on Pfizer "building a new generative AI platform for pharma marketing" - "The whole idea there is how do we triple [or] 5x our content creation to actually create messaging that resonates both for the health care providers as well as our patients,” Worple said"
  • From earlier in the year but, Publicis Groupe debuts new CoreAI platform and €300 million AI investment. In January, WPP announced $318 million annually to drive AI transformation.
  • Here is a short video recap on keynote from the CEO of Nvidia at their 2024 AI event. A lot of it is mostly about hardware and robots. Big news is the new Blackwell GPU "enabling organizations everywhere to build and run real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor"
  • report on Consumer AI apps from A16z - interesting non-business tools there that I at least haven't seen and some curious adoption patterns versus previous eras of apps.
  • Zoe Scaman (creative strategist) writes on "Strategy in The Era of AI" (with some useful tools linked) - self-recommending!
  • Anthropic has a really great Prompt Library. Examples include: Excel formula expert, neologism creator, career coach, interview question crafter etc.
  • Working paper on "Scenarios for the Transition to AGI". It's very technical (use GPT as a side-kick to read it) but key takeaway: "Moreover, if the complexity of tasks humans can perform is bounded, mirroring computational limits on human cognition, then we demonstrate that wages would at rst surge as machines displace more and more human labor, but would eventually collapse, even before full AGI is reached."
  • Tim Hartford again on "The real quandary of AI isn't what people think". "Unlike with generative AI, anybody with a pen, paper and three minutes to spare can write a list of what they do better with a smartphone in hand, and what they do better when the smartphone is out of sight."