My sister @JMollick produced #TheDropout - the new Hulu series on Elizabeth Holmes. In addition to being entertaining, it also shows some drivers of success in entrepreneurship.
So: a 🧵 of research on Theranos, and what honest investors & founders can learn from the lies. 1/
Much of the fraud was explained by "Symbolic Action." In a classic paper, Zott & Huy find that founders who skillfully use symbols do better, since folks view the symbols as indicators of real ability. They identify four categories of symbolic action, all exploited by Holmes 2/
The first category is showing personal capability, and the paper describes multiple ways of doing this: you can look the part of the entrepreneur; you can conspicuously show connections to top schools; or you can show that you are personally "all in." Elizabeth did all three. 3/
The 2nd category is showing that you are organized like a real professional organization. Common ways for entrepreneurs to indicate this are to have professional office spaces and the trappings of what people expect to see in a real firm. Elizabeth was very aware of this. 4/
The third category is to show symbols that your business can achieve its goals. The three classic ways to do this are to show off half-working prototypes, win industry awards, and show that you have received money from prestigious funders. 5/
Finally, we have a demonstration of key stakeholders, because if important people back your company, it must be good right? See the Theranos Board! (Of course, this didn’t convince real biotech VCs, who would have wanted to see stakeholders in the medical field.) 6/
And Holmes also was very good at pitching. This paper shows how she pitched Theranos using powerful techniques:
🖼Framing: Why the world needs improvement
💉Filling: Vivid images of how she would solve it
👥Connecting: Showing others trusted her
💪Committing: Showing dedication
7
Unethical startups are more likely to raise 💰 but also tend to waste it, hurting overall innovation. By comparing 2 sets of books, this paper identifies Chinese startups that got grants via fraud. Frauds were less likely to hire quality people & to conduct significant innovation
• • •
Missing some Tweet in this thread? You can try to
force a refresh
Probably the most consequential technology that should have been “obvious” but wasn’t:
🌾The moldboard plow. As this excerpt from Mann's 1491 shows, it was a simple idea which China had for nearly 2k years before Europe! It was basically a prerequisite for the Enlightenment.
The invention of the moldboard plow in Europe was at least a millennia closer to the invention of the iPhone than it was to the invention of the moldboard plow in China!
Plus:
🚲The wheel was invented surprisingly late & maybe only once (as anything other than a toy). It came after sailboats & harps, and was not used at all in the Americas
🐴And the horse collar, a simple invention that sped up plowing by 50%, wasn't common in Europe until 1000
I asked the Devin AI agent to go on reddit and start a thread where it will take website building requests
It did that, solving numerous problems along the way. It apparently decided to charge for its work. Going to take it down before it fools anyone... reddit.com/r/forhire/comm…
Agents are going to open a whole bunch of cans of worms.
It was actively monitoring the thread to take offers.
One thing business analysts miss is that many of the people at the AI labs are true believers that they are building AGI, and soon.
You don't have to think that they can do it, but, if you don't take their sincere beliefs into account, a lot of their strategy doesn't make sense.
The race for bigger models at the expense of improving existing models, the interlocking alliance deals where companies are funding and cooperating with competitors, the willingness to release models without extensive testing & just take the reputational risk in the short term...
The "its all sales hype" doesn't make a lot of sense upon consideration. Models are pretty fungible, GPT-4 class models prompt in similar ways. Convincing people you are building amazing future models doesn't generate lock-in for current ones & increases risks you don't deliver.
The modern economy rests on a single road in Spruce Pine, North Carolina. The road runs to the two mines that is the sole supplier of the quartz required to make the crucibles needed to refine silicon wafers.
There are no alternative sources known. From Conway’s Material World:
How can knowing something hurt you? Information can sometimes cause harm (think of the annoyance of seeing spoilers as a tiny example). This paper on information hazards was prescient about many of the issues we face today.
So, a 🧵 on some of the hazards of knowledge... 1/
Ideological hazards: Most people have only a little knowledge about what their ideological belief (whether religious or political) really encompasses. On the web, you can learn that your chosen belief system also includes hazardous elements that you feel you need to adopt. 2/
Evocation hazards: there may be particular information that, when people encounter it, triggers them. This is not just in the common sense of triggering past trauma, but that some conspiracy theories or memes might be unusually tempting to people in particular mental states. 3/