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
@nitashatiku @drewharwell so she was REAL guilty… LOL.
@nitashatiku Everyone powerful seems to be in bed with everyone powerful. Then they wonder why we feel like the system is rigged.
@MHowell @nitashatiku I don't understand how this is linked. The issue is that you can make more money private than doing public work so most people end up leaving the public sector.
@cspcypher @MHowell @nitashatiku I think the point is that this lawyer is probably at the top of the list of who you want to hire if you were in Ellison’s situation. If anyone can defend her case it will be someone who has sat on the other side of cases as high-profile as this one surely will be.
@keplerniko @MHowell @nitashatiku yea, but how is that "everyone is in bed with everyone" lol
@MHowell @nitashatiku I mean sure, but how is that relevant here? She hired a lawyer who knew her stuff.
@nitashatiku anyone who has to hire a lead partner from WilmerHale and several other attorneys is in deep doo-doo and will be bankrupt shortly. Not obvious how she'll be able to pay her legal bills after criminal proceeds forfeiture
@smokeygeo @nitashatiku She paid her legal bills upfront. WilmerHale's white collar team doesn't take cases on credit.
@smokeygeo @nitashatiku I hate this take and it's always wrong, no matter how guilty anyone is in a specific case. (Like this.) The answer to this question is why it's always wrong: If you were innocent and rich would you not hire the best damn lawyer you could?
The poor deserve great lawyers too, but hiring the best lawyer you can doesn't mean you're guilty and we need to stop thinking like this.
@mythserene @nitashatiku #1 she pled guilty, so, she's guilty
#2 while if you were innocent you would hire the best lawyer you could afford but what I don't get is how she can afford it, after criminal asset forfeiture (which has to be all her assets since she made all her money in FTX). Her family is probably paying and they'll be bankrupted
#3 I know ppl from WilmerHale- their hourly rates push $1000
@nitashatiku @smokeygeo ↓︎
What I hate so much is the general attitude — and tbf yours was very nominal & just happened to be the third I saw — but the attitude pervades and never hurts the people who can't afford to hire WH, and instead hurts wrongful convictions and regular defendants with normal (or bad) lawyers. What's important to me is erasing all tropes that link guilt and advocacy. It's crazy how much they cross over and damn the poor and innocent.
@mythserene @nitashatiku i did not make any inferences about guilt and advocacy- in fact this client had already pled guilty so that's not even an issue. Just that hiring good counsel is a bankruptcy-inducing event, even for the wealthy. Just look at the news from ppl in the White House who were pressured to hire Trump-paid counsel bc they couldn't afford their own.
@nitashatiku I think justice department will get the most use from her collaborating against SBF, but hopefully some jail time for all three is there
@nitashatiku The fact that she can afford to hire Avakian is damning.
@JayBlue @nitashatiku when you’re right, you’re right.
@nitashatiku she pleaded guilty already?
@notmarvc @nitashatiku right? 😮​
@mazal @nitashatiku saw the news. She and Gary pleaded guilty already. Interesting times ahead I guess? 😏
@notmarvc @mazal @nitashatiku Typically you only hire Wilmer to negotiate a deal (they are a revolving for of ex-government big wigs and prosecutors), if you want to fight aggressively you hire another firm.
@jelasher @notmarvc @mazal interesting. looks like that's what Caroline did!
@jelasher @notmarvc @mazal @nitashatiku If you want to fight aggressively, you're the last one holding the bag.
@halfcocked @jelasher @mazal @nitashatiku i believe Carolline and Gary are snitching on Sam lol
@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.
@KarrieSully @nitashatiku what are you basing your psychoanalysis on?
@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.

@KarrieSully @cspcypher @nitashatiku

Ah witchy, witchy; who audits your model?

@ambiorickx @simon_lucy @nitashatiku @cspcypher
Lol - no DLT needed except if we decide to go consumer or with any expansion - we may anonymize & secure individual results via DLT. IMHO - I like security as a use case far more than transactions.
@simon_lucy @cspcypher @nitashatiku audit: a) I’m a stickler for making sure we diverse eyes on any models from data to utility. b) we have a couple of trait-based psychologists that periodically audit outcomes c) we check the model against many / diverse human benchmarks that were reviewing for history and current point in time progress

@KarrieSully @cspcypher @nitashatiku

You'll realise that cynicism is going to be a common reaction to "All we need is 50-75 words for high accuracy personality trait assessments.", given the use of Myers Briggs and it's erosion of decision making in resource management in many corporations.

@simon_lucy @cspcypher @nitashatiku I anticipate it. I really only chat about the model with folks that I think will get it (humans are just a tiny bit complex + the tech is complex). It’s hard to distill and people need to process through their questions / understanding in different ways. I tend not to blast everyone with a dissertation that would just make people glaze over. Intellectual curiosity and engagement is always better. :)

@KarrieSully @cspcypher @nitashatiku

That's all true, but the difference between snake oil and something you can trust is knowing the ingredients, something of the process and what it's really designed for. Furniture polish might clean your teeth but it's not recommended.

So I might ask what's the point? Claims that either individuals are so narrowly and specifically defined or that language is both complex and simple are going to get 'so what' as a response.

@simon_lucy @cspcypher @nitashatiku We’re plotting where people land today in their own personal / psychological evolution, along a continuum via detailed traits. The machine is meant to be radar > diagnosis. Ex: Don’t use it to automate hiring and firing decisions. As a DS pro - you know that machines/ML are great decisions and tasks. Judgement, however is human.
We’re just trying to help the humans improve their judgment. :)

@KarrieSully @cspcypher @nitashatiku

Well if the context fits then the machine learning will drive a reasonable solution, sometimes it's only the smallest variations that means the solution misses. When they miss they tend to miss completely.

Of course if the model just perpetuates presumptions and categories and then the correlation with whatever language triggers with too wide a window then is it more than rolling dice on a character generator?

Which is harsh.

@simon_lucy @cspcypher @nitashatiku totally fair. I may not have been clear. There’s a mix of both the machine and human interpretation at play here. The machine does the heavy lifting around harvesting data, stats, QA, etc. When it comes to translating that into insights that help leaders, teams, and people - it requires human eyes and judgment to go the last mile so we’re constantly checking it against reality.
@KarrieSully @nitashatiku that seems like a really low word count tbh but cool that you are using nlp
@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.

@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

@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…
@KarrieSully @nitashatiku wait, so this set includes people aren't diagnosed in a clinical setting?
@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. :)
@nitashatiku The Queen is dead. Long live the Queen.
@nitashatiku so she's turning state's evidence...
@nitashatiku Payment in USD, EUR, RMB, seashells, or Diner's Club card only.
@nitashatiku the revolving door from regulator to private firm (and sometimes back again) isn’t surprising to me, but the size of those cases within that short period of time that she managed is somewhat surprising. Are we living in sketchier times or are we just hearing about it more?

@nitashatiku

sounds surprisingly sophisticated.

SBF getting mostly thrown under the bus? (not that there wouldn't be cause for that)

@nitashatiku that lawyer got payed with stolen money.
@nitashatiku Are there any lawyers who can explain why a plea deal was given here? It seems like so much of the fraud was brazenly committed out in the open. Is her cooperation really necessary to convict SBF?
@nitashatiku I hope she’s wearing her reasonableness pants
@nitashatiku I don't understand why they accepted a plea deal from her when you have to think they've 1) got the goods on her big time and 2) have SBF all but confessing on a daily basis in interviews and such. Is it really worthwhile to get a deal in the can when you've got everyone dead to rights or am I overestimating how strong their case is?
@jwheat1968 I couldn't say whether there was a strategy behind SBF's apology tour, but he did not "confess" to much. In the interviews I read/heard, he framed misuse of customer funds as: recent, or a mistake, or a function of him not paying attention. He also said he was removed from Alameda Research. You can download the most recent complaint here with Caroline Ellison and Gary Wang acknowledging liability and it paints a VERY different story about what happened. https://www.cftc.gov/PressRoom/PressReleases/8644-22
CFTC Charges Alameda CEO and Alameda and FTX Co-Founder with Fraud in Action Against Sam Bankman-Fried and his Companies | CFTC