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Ethan Mollick Profile picture
@emollick
Sep 24, 2020 • 4 tweets • 2 min read • Read on X
Psychology experiments need to be able to get people to react emotionally very quickly. How do they do it? Movie clips! These are the scientifically vetted clips historically used to elicit emotion.

For fear 😱 the choice is pretty obvious. 1/4
For anger 😡, either the police abuse scene from Cry Freedom (the clip isn’t online) or else this scene from The Bodyguard 2/4
For sadness 😭 this scene from The Champ even beats the death of Bambi’s mother. 3/4
Since the study is older, the clips are more of classic films. Here is the ranking based on lab studies. bpl.berkeley.edu/docs/48-Emotio… 4/4 ImageImage

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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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