Capabilities for synthesis, enterprise GenAI outlook, hedge funds use LLMs, psychological kinesiology, and more

📖In this issue

• The five elements supporting the wellspring of synthesis

• Hedge funds use LLMs to augment research analysts

• X’s new Grok-2 model is very high-performing with few guardrails

• Japanese AI leader Sakana AI publishes its work on “Fully Automated Open-Ended Scientific Discovery”

• Nikolas Badminton on cognitive vibration, AI for scenarios, psychological kinesiology, and quiet listening

• Enterprise GenAI adoption: business models, investment, upskilling, and more

🤸 Insights

Synthesis is the ultimate human capability, and the fifth of the five powers I lay out in my book Thriving on Overload. In turn, five capacities support the wellspring of synthesis:

See a brief explanation of each of the elements or check out Thriving on Overload.

👩🤖Humans + AI update

Hedge funds use LLMs to augment research analysts

Hedge funds are aggressively using LLMs to accelerate research and do tasks they weren’t able to do to before. However the inability to rely on the models’ output remains a major constraint.

Hedge Funds Battle to Turn ChatGPT from Intern to Analyst

The best ways to use ChatGPT for scientific research

Milton Pividori of University of Colorado writes in Nature on the lessons learned from 18 months researching on the strengths and weaknesses of using LLMs for science. Key findings include carefully engineering your prompt, applying it to prosaic use cases such as literature reviews, and using it for tasks you know how to do well.

Chatbots in science: What can ChatGPT do for you?

Will we marry AI chatbots?

An extensive interview on AI relationships from Replika’s founder. “When we started Replika, we wanted to build this AI companion to spend time with, to do life with, someone you can come back from work and cook with and play chess at your dinner table with, watch a movie and go for a walk with, and so on. Right now, we’re finally able to start building some of that, and we weren’t able to before. “

Replika CEO Eugenia Kuyda says it’s okay if we end up marrying AI chatbots

🔥Hot news in AI

• X releases Grok 2 which performs just below the top models. Its image generator readily produces questionable content - The Verge 

  

   

• MIT publishes the AI Risk Repository with over 700 AI risks categorized - MIT

• Japanese AI leader Sakana AI publishes its work on “Fully Automated Open-Ended Scientific Discovery” - Sakana

• GPT-4o has reclaimed top place on the LMSys Chatbot Leaderboard with a new model after Gemini beating it two weeks ago - Twitter

• Google demos Gemini Live Android voice chatbot, which will compete with OpenAI’s Advanced Voice, which is only rolling out slowly

🎙️This week’s podcast episode

What you will learn

• The journey from business strategy to futurism

• The power of small, focused communities

• Integrating AI tools in future scenario exploration

• Balancing traditional research with generative AI

• Embracing the unexpected in creative processes

• Using spiritual practices to enhance cognitive abilities

• Fostering deeper discussions through listening and questioning

💡Resources and insights

Enterprise GenAI adoption: business models, investment, upskilling, and more

KPMG’s GenAI Survey 2024 taps leadership perspectives on the impact of GenAI.

Executives are heavily investing in GenAI, with 83% expecting increased spending and 78% confident in strong ROI. Revenue growth is the top priority, driving these investments. However, only 16% of organizations have a fully equipped workforce for GenAI, revealing significant skills gaps. To address this, 61% of leaders plan to expand GenAI's scope, and 55% aim to introduce it into new business functions, indicating a strong push for deeper integration.