My first experiment with a GPT built on my previous 5 experiments into integrating MyHub.ai with ChatGPT.

Rather than collecting and processing data, "the most useful thing ... in this AI-haunted moment: creating grimoires, spellbooks full of prompts that encode expertise", but not those resulting from "elaborate “prompt engineering”... [as] prompt engineering is overrated... the prompts of experts ... encode our hard-earned expertise …

In the wake of ChatGPT's release of GPTs, Mollick asks: "What would a real AI agent look like? A simple agent that writes academic papers would, after being given a dataset and a field of study, read about how to compose a good paper, analyze the data, conduct a literature review, generate hypotheses, test them, and then write up the res…

"does appealing to the (non-existent) “emotions“ of LLMs make them perform better? The answer is YES"

ETHAN MOLLICK on "the culmination of the first phase of the AI era ... [which] ends with the ... Google’s Gemini, the first LLM model likely to beat OpenAI’s GPT-4... enough pieces ... are in place ... to see what AI can actually do, at least in the short term... [although] implications of what this phase of AI will mean for work and educati…

insights into the complex relationship between AI and knowledge work, emphasizing the need for a nuanced understanding of AI's role in enhancing productivity and quality in different task domains - Harpa