20 top AI charts, global attitudes to AI, network activation, anthropomorphizing AI, and more

📖In this issue

• Top 20 charts from the AI Index report

• Human cognition in strategic decision-making

• Differing global attitudes to AI - from excitement to nervousness

• Next level realistic video from single image and audio clip

• New models, new robots, and AI hardware fails

• Céline Schillinger on network activation, curious conversations, podcasting for connection, and creative freedom

• Why we should anthropomorphize AI

💡 Insights

20 top charts from the Stanford AI Index Report 2024

The Stanford Human-Centered AI Institute’s annual AI Index Report is the best single review of the state of the space. The 500-page report takes a while to get through so we compiled the 20 most interesting charts showing key aspects of the development of AI.

👩🤖Humans + AI update

AI to create a positive future of work

“The current labour market is a waste of human potential,,,
In an ideal world, people's survival shouldn’t be tied to their ability and willingness to work on the currently available jobs. Fountains of talent and creativity are sitting tucked away in the back room, waiting to be used.”

How AI can unlock the future of work, education and living

The human cognition involved in human decision-making

“We fundamentally think that strategic decisions are not amenable (solely) to AI-based cognition or computational decision making…. Most importantly, AI-based models are based on backward-looking data and prediction rather than any form of forward-looking theory-based causal logic (that is based on directed experimentation, problem solving, and new data). We claim that emphasizing or relying on prediction alone is a debilitating limitation for strategic decision making. “

Theory is All You Need

Different global attitudes to AI

What is often neglected in the AI debate is widely differing global attitudes. The English-speaking nations, led by Australia and UK, are most nervous. Almost all the most excited nations are rapidly maturing economies.

Most excited and most nervous nations about AI

🔥Hot news in AI

• Meta releases Lllama 3, now a fifth 5 GPT-4 class LLM, with promise of bigger models soon - Meta 

• OpenAI’s Assistants have expanded capabilities, now capable of ingesting 10,000 files, up from 20 - OpenAI

• The much-hyped Humane AI pin has been slammed by reviewers on launch - ZDNet

• Boston Dynamics has upgraded its Atlas robot to electric, with improved capabilities

• Microsoft has announced VASA-1, which creates extremely realistic video from a single portrait photo and an audio clip.

🎙️Latest podcast episode

What you will learn

• Exploring the journey from entrepreneurial beginnings to corporate transformation

• The shock of transitioning to a large pharmaceutical company’s culture

• The power of forming an employee network to instigate positive change

• Challenging traditional hierarchies with network activation

• Leveraging digital tools and volunteer networks for organizational innovation

• Embracing agency, networking, and community for future-ready organizations

• Personal practices for amplifying individual capabilities and fostering connections

💡Resources and insights

Why we should treat AI like a human

Leading AI proponent and author Ethan Mollick writes that:

“I know these are real risks, and to be clear, when I say an AI “thinks,” “learns,” “understands,” “decides,” or “feels,” I’m speaking metaphorically. Current AI systems don’t have a consciousness, emotions, a sense of self, or physical sensations. So why take the risk? Because as imperfect as the analogy is, working with AI is easiest if you think of it like an alien person rather than a human-built machine. And I think that is important to get across, even with the risks of anthropomorphism.”