Ethan Mollick Profile picture
Jun 4, 2021 6 tweets 5 min read Read on X
One of my favorite scientific figures is this one of the entropy levels of 100 world cities by the orientation of streets. The cities with most ordered streets: Chicago, Miami, & Minneapolis. Most disordered: Charlotte, Sao Paulo, Rome & Singapore. Paper: appliednetsci.springeropen.com/articles/10.10…
To illustrate, here is how the maps look for Minneapolis (most ordered) & Charlotte (most disordered), rendered with this amazing tool for showing maps of roads by @anvaka: anvaka.github.io/city-roads/?q=…
Here's the cities organized by alphabetical order from the paper (by @gboeing )
On a related note, here is the alignment of runways around the world, along with a rather amazing global zoomable map 👇 of every runway & how it is oriented.
To lower your city’s entropy level, use this map extending the streets & avenues of New York’s grid to cover the world. 10 Downing Street is really 3,709th Street & East 10,894th Avenue. All roads meet in Ishkuduk, Uzbekistan, the antipodean anti-New York. extendny.com/#S22.St.4.Ave/9
Also on the topic of roads: 2,000 years later, the paths of Roman roads explain economic development patterns in Europe, but not so much in North Africa, where the general use of camels after 100BCE led to less need for wheeled vehicles. (Cool subway-style maps by @sasha_trub)

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More from @emollick

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
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
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
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
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
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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Read 4 tweets
Apr 24
Microsoft keeps launching Copilot tools that seem interesting but which I can't ever seem to locate. Can't find them in my institution's enterprise account, nor my personal account, nor the many Copilot apps or copilots to apps or Agents for copilots

Each has their own UIs. 🤷‍♂️ Image
For a while in 2023, Microsoft, with its GPT-4-powered Bing, was the absolute leader in making LLMs accessible and easy to use.
Even Amazon made Nova accessible through a simple URL.

Make your products easy to experiment with and people will discover use cases. Make them impossible without some sort of elaborate IT intervention and nobody will notice and they will just go back to ChatGPT or Gemini.
Read 5 tweets

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