Boon Shin Ng
@boonshin
Boon Shin Ng
A lot of the focus on AI use, especially in the corporate world, has been stuck in what I call the “automation mindset” - viewing AI primarily as a tool for speeding up existing workflows like email management and meeting transcription. This perspective made sense for earlier AI models, but it's like evaluating a smartphone solely on its ability to... See more
Ethan Mollick • A New Generation of AIs: Claude 3.7 and Grok 3
Time for a mindset shift?
Giving clear directions, feedback as you iterate, and appropriate context to make a decision all help humans, and they also help AI. Previously, this was something you could only do with text, but now you can do it with images as well.
Ethan Mollick • No elephants: Breakthroughs in image generation
This is why my workflows do not differentiate tools from people. They all need the same kind of context to do their job well when starting out.
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Consistency compounds while occasional brilliance fades.
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You don't need more time. You need more focus.
Time isn't the constraint. Your choices are.
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Great outcomes aren't built on great days, but on consistent ones.
You can't just count the days when it's easy. Each day moves you closer to the goal. No day is a hero; no day is a villain.
P... See more
Consistency compounds while occasional brilliance fades.
**
You don't need more time. You need more focus.
Time isn't the constraint. Your choices are.
***
Great outcomes aren't built on great days, but on consistent ones.
You can't just count the days when it's easy. Each day moves you closer to the goal. No day is a hero; no day is a villain.
P... See more
Brain Food: Mastery of Oneself
This second Scaling Law led to the creation of Reasoners, which I wrote about in my last post. The new generation of Gen3 models can all operate as Reasoners when needed, so they have two advantages: larger scale in training, and the ability to scale when actually solving a problem.
Ethan Mollick • A New Generation of AIs: Claude 3.7 and Grok 3
success comes from enjoying the daily practice enough to stick with it for a long time.
The "natural talent" myth | Justin Welsh
Real life example on what a good cold outreach looks like.
This shift has profound implications for how organizations should approach AI integration. First, the focus needs to move from task automation to capability augmentation. Instead of asking "what tasks can we automate?" leaders should ask "what new capabilities can we unlock?" And they will need to build the capacity in their own organizations to... See more
Ethan Mollick • A New Generation of AIs: Claude 3.7 and Grok 3
Agentic workflows are loops —they can run many times in a row without needing a human involved for each step in the task. A language model will make a plan based on your prompt, utilize tools like a web browser to execute on that plan, ask itself if that answer is right, and close the loop by getting back to you with that answer. If you ask, “What... See more