Collaborative intelligence, AI for visual data stories, the future is neurosymbolic, and more

📖In this issue

• In practice: using AI to make a data-driven, visual story

• LVMH looks to augment humans with AI

• ChatGPT’s new Advanced voice rolls out to users

• Google’s new experimental Gemini 1.5 Pro leaps to the top of the leaderboards

• Suno and Udio are claiming ‘fair use’ for using music to train their AI music generators

• Claire Mason on collaborative intelligence, skills for GenAI use, workflow design, and metacognition

• Is the future of AI neurosymbolic?

🤸 In practice

The folk over at The Pudding specialize in creating beautiful data-driven visual stories.

They tried to get Claude to do their job, going through the 4 stages in their process of Idea Generation, Data Collection & Analysis, Storyboarding & Prototyping, and Development & Writing.

Their detailed analysis of what worked and what didn’t is very instructive. The overall grade given was C+, however it scored B+ on Storyboarding & Prototyping.

They conclude:

“Do we feel replaceable? In short, not right now. When we look at what Claude produced, we don’t think it looks anything like a real story we’d make at The Pudding. But… would a casual reader notice the difference? We hope so, but that might be overly optimistic.”

👩🤖Humans + AI update

Models for licensing human creativity for AI use

“Created by Humans aims to be a platform where creators of videos, images, music and even medical data can sell licensing rights for AI training. …the startup is first launching with a service for authors and book publishers.”

Created by Humans helps people license their creative work to AI models

LVMH looks to augment humans with AI

The luxury conglomerate is using GenAI to augment human creativity and support workers. It is building an internal GenAI tool in collaboration with Stanford University’s Institute for Human-Centered Artificial Intelligence, and is looking to train 10,000 staff in AI.

LVMH is augmenting humans with AI, not replacing them

ChatGPT’s new Advanced voice rolls out to users

ChatGPT’s updated Advanced voice capabilities (remember the Scarlett Johanssen episode?) are gradually rolling out to paid users. The quality seems to be on a par with the spectacular demos. Check out the link for a user demo of the voices. This definitely fall in the Humans + AI space as it enables more useful human-AI interactions.

Ethan Mollick on Twitter - video of new ChatGPT voice

🔥Hot news in AI

• Google’s new experimental Gemini 1.5 Pro leaps to the top of the leaderboards - LinkedIn

• Canva acquires fellow Sydney startup Leonardo.ai - TechCrunch

• Suno and Udio are claiming ‘fair use’ for using music to train their AI music generators - Reuters

• Microsoft says that OpenAI is a competitor now that it has launched SearchGPT, in addition to their collaboration - CNBC

• Google has hired the founders and core team of Character.ai in another industry acqui-hire - The Verge

🎙️This week’s podcast episode

What you will learn

• Exploring collaborative intelligence with AI and humans

• Leveraging AI’s strengths and human expertise

• Enhancing medical diagnosis with sage patient management system

• Utilizing drones for faster rescue operations

• Essential skills for effective AI collaboration

• Productivity gains from generative AI in various industries

• Future research directions in AI and human teamwork

💡Resources and insights

Is the future of AI neurosymbolic?

Industry pioneer Gary Marcus has been very down on GenAI for the last couple of years.

In what he calls “a rare optimistic post” on “what happens in AI after the generative AI bubble bursts” he has written AlphaProof, AlphaGeometry, ChatGPT, and why the future of AI is neurosymbolic.

The prompt for the article is Google DeepMind’s recent Silver medal in the International Mathematics Olympiad, a feat in complex mathematics logic that nears the best humans and was not expected for many years to come.

The underlying approaches used neurosymbolic approaches, combining the best apects of neural networks and the more classic symbolic approaches used in AI