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Ethan Mollick Profile picture
@emollick
Oct 15, 2020 • 4 tweets • 2 min read • Read on X
A great example of borrowing innovation from one field for another. Doctors at a struggling children's hospital sent videos of their post-surgical hand-offs to Ferrari's F1 pit crew (see the GIF!) to improve. They reworked the process & reduced associated errors rates by 66%. 1/2
The diagrams show how the F1 crews used their techniques to help the surgery teams reorganize the surgery to ICU handoff. The paper is here: 2/2 asq.org/healthcare-use… ImageImage
The Youtube video for the original GIF of the Ferrari F1 pit crew is here, and it is worth watching it (or the GIF) multiple times, each time focusing on a different person doing their job with incredible speed and precision.
Some terrific further examples of innovations across industry boundaries here:

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More from @emollick

Ethan Mollick Profile picture
Aug 2
This is, in fact, what early acceleration of science looks like with jagged AI.

Writing abstracts takes a lot of time, many scientists are bad writers and clearly written abstracts are important. As long as the authors check over the results, this is a good use case for AI.
I wrote about some of the early impact of AI on science last year, including for writing. oneusefulthing.org/p/four-singula…
We do not yet have true autonomous science or breakthrough ideas from AI, but AI provides time savings throughout the process when used carefully by humans: data cleaning, exploratory analysis, writing, pushing back on ideas, (deep) research - all can be helpful when used well.
Read 4 tweets
Ethan Mollick Profile picture
Jul 27
Kinda amazing: the mystery model "summit" with the prompt "create something I can paste into p5js that will startle me with its cleverness in creating something that invokes the control panel of a starship in the distant future" & "make it better"

2,351 lines of code. First time
Code: editor.p5js.org/emollick/sketc…

Play it: editor.p5js.org/emollick/full/…
This is through LMArena, where you are given random models to test. You will likely get a chance to use "Summit" fairly often (it came up three times in my six attempts): lmarena.ai
Read 5 tweets
Ethan Mollick Profile picture
Jul 20
Don't leave AI to the STEM folks.

They are often far worse at getting AI to do stuff than those with a liberal arts or social science bent. LLMs are built from the vast corpus human expression, and knowing the history & obscure corners of human works lets you do far more with AI
These are systems that respond to human writing and (often) techniques that apply to human psychology.

Everyone now has a machine that makes words, images, video, sound where the limit is often your own ability to imagine something new (or invoke old ideas others do not know).
The Math Olympiad is great, coding is important, accelerating science has tremendous value.

But LLMs give a chance for both cultures to contribute in ways that have not been possible for a long time. Image
Read 4 tweets
Ethan Mollick Profile picture
Jul 6
X (and other social media sites) make our 1990s optimism about the Information Age seem silly.

Even with all of the world's information a click away (& a free AI that can help explain that information in a personalized way), half-mangled anecdotes with no source win every time.
It really is not what most people who was working on building the early web in the late 1990s were expecting. Universal access to information was going to transform everything, creating widespread learning and bridging divides.

It really is shocking how much that didn't happen.
The fact that people use the internet mostly for entertainment isn't a weird or surprising

But you also have access to courses on every topic by experts, every major out-of-copyright book, can talk to people from anywhere, etc. The impact of that is smaller than I once expected.
Read 4 tweets
Ethan Mollick Profile picture
Jun 5
So, OpenAI Deep Research can connect directly to Dropbox, Sharepoint, etc.

Early experiments only, but it feels like what every "talk to our documents" RAG system has been aiming for, but with o3 smarts and easy use. I haven't done robust testing yet, but very impressive so far.
I think it is going to be a shock to the market, since "talk to our documents" is one of the most popular implementations of AI in large organizations, and this version seems to work quite well and costs very little.
I am sure the other Deep Research products will be able to do the same soon, and, while I am sure there are hallucinations (haven't spotted any yet, though), this seems like an example of how the LLM makers can sometimes move upstream to the application space and take a market.
Read 4 tweets
Ethan Mollick Profile picture
May 20
Very big impact: The final version of a randomized, controlled World Bank study finds using a GPT-4 tutor with teacher guidance in a six week after school progam in Nigeria had "more than twice the effect of some of the most effective interventions in education" at very low costs Image
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Paper: documents.worldbank.org/en/publication…
Thread by one of the authors:
Read 4 tweets

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