Stories are persistent: this paper traces back fairy tales across languages & cultures to common ancestors, arguing that the oldest go back at least 6,000 years. One of the oldest became the myth of Sisyphus & Thanatos in ancient Greece. 1/
That may be the start: this paper argues some stories may go back 100,000 years. Many cultures, including Aboriginal Australian & Ancient Greek, tell stories of the Plaeades, the 7 sisters star cluster, having a lost star- this was true 100k years ago! 2/ dropbox.com/s/np0n4v72bdl3…
Stories share similar arcs: Analyzing 1.6k novels, this paper argues there are only 6 basic ones:
1 Rags to Riches (rise)
2 Riches to Rags (fall)
3 Man in a Hole (fall rise)
4 Icarus (rise fall)
5 Cinderella (rise fall rise)
6 Oedipus (fall rise fall) 3/ epjdatascience.springeropen.com/articles/10.11…
Stories have links to cultural values. You can make predictions about economic factors from the stories people tell, as this 👇cool paper shows 4/
The stories organizations tell matter, too: When firms share stories in which their executives were clever but sneaky, the result is less helping & more deviance! Firms that share stories about low-level people upholding values have increased helping & deceased deviance. 5/
Firms also transmit learning through stories. This paper shows stories of failure work best. They are more easily applied than stories of success, especially if the story is interesting & you believe that it is important to learn from mistakes. But make sure it is a true story. 6
Entrepreneurs especially rely on stories, as, all you have initially is your pitch - a story about your startup. You have to use that to get people to give you resources, buy your product, join your company, etc. Here is a thread on how to do that: 7/
One of the most fascinating examples of the power of stories in startups is how the Theranos fraud relied on Elizabeth Holmes’s ability to tell a compelling story, which involved her tapping into the archetypes of what we expect an entrepreneur to be (black turtleneck & all) 👇
ChatGPT 5.2: "Build an interactive Excel spreadsheet where I can pick two D&D monsters to fight against each other and the spreadsheet simulates the combat somehow, including special abilities. Give a D&D look"
Thinking took 60 minutes(!) & had to have it fix an error, but cool
Claude 4.5 Opus followed the same instructions very quickly, and with style, but simplified the problem to avoid using actual special abilities or status, just straight up rolls for damage
Gemini 3 Pro. I really hope they add consistent ability to work with or download files.
I did not expect that the PowerPoint killer would be something called Nano Banana Pro, but that is where its heading
It makes the major efforts by all the other AI companies, including Microsoft, to crack PowerPoint by using python seem like a dead end
ImageGen is all you need?
The thing is that NotebookLM can just take source materials, a topic, and an idea and make a very pretty, impactful deck.
Hallucinations are very rare, though there are still some spelling and graphics issues. Editing capability is apparently coming, but the direction is clear.
The slide deck is the result of me throwing my entire book into NotebookLM, by the way.
Voice is one of the most useful ways to interact with AI to do work but it seems to have been semi-abandoned for serious use outside of the “chat with a friend” case.
All of the voice modes only access weak models with low latency, making them zippy & fun but kind of useless.
If you don’t think of voice models as a fun chat, but rather as a way of working, it suggests that pauses are fine, even preferred (don’t talk with me unless you have something to say). And alternative UXs beyond “talk with your AI about the weather” become possible to explore.
Also I want to turn off the breathing, giggling, and disfluencies. Anthropomorphism can be helpful in many cases but it gets to be too much, especially for serious discussions. The tone is off and it feels ingratiating and slows things down.
I think my “otters on a plane using WiFi” may be a saturated benchmark now that nano banana pro can do this.
Prompt: Scientists who are otters are using a white board to explain ethan mollicks otter on a plane using WiFi test of AI (you must search for this) and demonstrating it has been passed with a wall full of photos of otters on planes using laptops
Since there are so many AI announcements, my advice is to focus on those expanding what folks can do with AI (& especially tools that democratize who can use AI) rather than every single UX improvement
Skills, connectors & agents with file access/CLIs are especially interesting.
Next up: pay attention to expansions in artifacts/vibe coding for non-coders, specialized AI tools for industries outside of coding (see Claude Finance) and systems that take software people use every day and radically transform how they work using AI (Excel agents, for example)
Also interesting to watch ambitious new applications that are AI-native. What Google is doing with NotebookLM, for example, is basically creating an entirely new interface for working with information that is a pretty strong break with older ways of handling large amounts of info
I don’t have much to add to the bubble discussion, but the “this time is different” argument is, in part, based on the sincere belief of many at the AI labs that there is a race to superintelligence & the winner gets,.. everything.
You don’t have to believe it (or think this is a good idea), but many of the AI insiders really do. Their public statements are not much different than their private ones.
Without considering that zero sum dimension, a lot of what is happening in the space makes less sense.
This is not the only way folks justify the large spend on AI buildout (and whether there is a bubble seems very far from obvious), but it is a dimension that does not show up in as many economic analyses as it should.