Nitasha TikuDec 22, 2022

Caroline Ellison, CEO of Alameda Research just pleaded guilty 7 counts for defrauding FTX customers. I was just looking up who her lawyer was and realized I missed this. She hired Stephanie Avakian who was at the SEC from 2016 to 2022 led a team that worked on the cases against:

-Elizabeth Holmes/Theranos
-Elon Musk for tweeting misleading statements about taking Tesla private
-Facebook for misleading investors about misusing user data
-cases against Ripple + Robinhood

https://www.businessinsider.com/caroline-ellison-hires-former-top-sec-crypto-regulator-lawyer-ftx-2022-12

Caroline Ellison hires former top SEC crypto regulator as lawyer in FTX investigation

Stephanie Avakian, the SEC's former enforcement director, led major regulatory cases against companies like Robinhood, Tesla, and Theranos.

Insider
Show threadKarrieSullyDec 22, 2022
@nitashatiku Elizabeth Holmes and SBF score similarly psychologically. Let’s just say they’re disconnected from any sense of humanity… like - Thanos snap on 1/2 the population and wouldn’t care. VCs have a fiduciary responsibility to make sure these profiles don’t end up lurking in their portfolios. It’s preventable.
Show threadCypherDec 22, 2022
@KarrieSully @nitashatiku what are you basing your psychoanalysis on?
Show threadKarrieSullyDec 22, 2022
@cspcypher @nitashatiku trait-based psychology has a deep connection to language. We use ML (based in computational linguistics) on publicly available speech and writing samples. All we need is 50-75 words for high accuracy personality trait assessments.
Show threadCypherDec 22, 2022
@KarrieSully @nitashatiku that seems like a really low word count tbh but cool that you are using nlp
Show threadKarrieSullyDec 22, 2022
@cspcypher @nitashatiku it’s surprisingly accurate. More is better statistically, of course. I just did a company that’s going IPO early next year and wish investors had this kind of information to make decisions on. We can literally compare leadership teams to financial performance in recession/crisis and good economies.
Show threadCypherDec 22, 2022

@KarrieSully @nitashatiku hope to hear more about this in the future. I'm a DS in the real world so I'm sure I'll see it uses 😉

I'm very interested to know what you used for your training data. I assume you worked with criminal data set

Show threadKarrieSullyDec 22, 2022
@cspcypher @nitashatiku ha - I hope so!! I was just discussing it yesterday with a group online as a better way of human due diligence for VCs. We’d find more money in diverse hands if we did. PEs have a fiduciary resoponsibility to do psych evals on execs - why shouldn’t VC?
The dataset is recognizable and diagnosable public figures that include criminal, political, dictator (eg Hitler, Castro, Ted Cruz 🤣), high profile successful execs…
Show threadCypher
@KarrieSully @nitashatiku wait, so this set includes people aren't diagnosed in a clinical setting?
Dec 22, 2022 at 7:58pmWeb
Show threadKarrieSullyDec 22, 2022
@cspcypher @nitashatiku benchmarks started with clinical diagnosis and professional but non clinical setting diagnosis (trait psychs use language too). Now we only use clinical diagnosis to validate the model periodically. This has been a 10+ year project. :)