In a desperate, sad attempt to recapture even a moment of normalcy, I have acquired good takeout sushi and will be serving omakase to myself, and then posting it here.
We’ll start with a 2008 base Egly-Ouriet Blanc de Noirs Grand Cru. Easily my fave champagne to decant.
Ahhhh, how long it’s been, I don’t even remember half these names; gone like tears in the rain. First is... Red snapper? Then sea bream and something else I can’t identify. Then a mix of yellowtail and yellowtail belly, and then two sea trouts (my favorite)
Tuna and ikura, and then a break from the monotonous, inevitable march towards entropy that is life: the salmon belly required “cooking” via torch. I must oblige, even if ultimately futile.
Unagi and kaluga caviar. Kaluga isn’t even a traditional gunkan-maki, but the fields of bloated, mangled restaurant corpses have ensured a glut of high-end supplies available at distributors for the survivors to avail themselves of, in their own desperate bids for survival.
Tekka maki is the traditional final course, served to politely inform the customers it is time to pay the bill and leave. But I am at my own house, not a restaurant - a grim memento mori that eventually, we all must pay the bill and leave this mortal coil.
In conclusion, Darkness and Decay and the Red Death held illimitable dominion over all. The end.
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A zero employee single manager fund runs somewhere between $500k and $1mm per year in expenses like audit, admin, legal/formation costs nowadays, so $50mm is the minimum for *you* to draw a paycheck, let alone employ a team, without eating performance fees for ~all of comp.
Once you have launched, institution interest evaporates because giving money to a nonexistent fund is way easier than a fund w/ a 4 month track, so you need to tough out 3 years minimum to get calls, and then they’ll bitch about scalability because you were managing HNWI money
In practice, if you want to acquire the accoutrements of institutional hedge fund life- an office, a team, a good PB, ISDA, etc., you need at least $100mm of fee paying AUM, which translates to more like $150 or $200 because various people will want deals and discounts to invest
Not to pick on this guy in particular, but there is a great deal of misinformation floating around re: DWAC. Fortunately for you all, I spent today reading the S-1, and as a SPAC expert I can confidently answer the question of “can Trump sell Monday” with a firm “idk, maybe?”
Here is their lock-up agreement, I’ve attached a screenshot of the relevant sections. Formal disclaimer that everything that follows is neither legal nor financial advice, I may have positions in securities mentioned, do your own research, etc. sec.gov/Archives/edgar…
This is pretty boilerplate, as far as these things go, which it of course is because SPACs mostly just use a standardized template. The three major conditions are as follows: can’t sell until the EARLIEST of: six months, five months of the price is above $12, or they get bought
I just attended a talk on the mathematics of diffusion image generation models and it blew me away. Takeaways: 1. The math is very “simple” 2. In fact, it’s so simple that this method *shouldn’t really work* 3. The fact it does says something very fundamental about the universe
The basic idea is you define a stochastic process X_t, where dX_t = a(t,X)dt + b(t,X)dW_t. Let X_0 be random noise and X_1 be, eg, vector of RGB values for an image. Interpolate and add noise to generate a sample X_t, do this for many images, and then you can “learn” a() and b()
To generate a new image, you simply pick a new vector of random noise and evolve forward your newly discovered SDE until you reach t=1, at which point you have a perfectly sensible image if you’ve done your job right, modulo various finicky fine-tuning bits.
Since it's Sunday and I'm bored, I figured I would finally, definitively answer the question of "why do people think the economic is bad (and is that the case?)". This is because it is easy to answer, and the answer is funny and will make many people mad.
First of all, we will ignore everyone on Twitter and look at objective data, in this case the University of Michigan's consumer survey asking what people think economic conditions are. Spoiler: People think the economy is very bad, worse than any time other than 1980 and 2008!
Ok, now let's think of all the variables that might cause them to think that and build a model. I picked the following:
Inflation rate
Inflation rate change
Unemployment
Unemployment change
Housing prices
Real wages
Dollar strength
Interest rates
Stock prices
and went from there
Junior data scientist interview question: Assume you generate points X = N(0,1); Y = N(0,0.1). Rotate the (x,y) dataset 45 degrees, so they look something like pic below (line is y = x). If you were to calculate the OLS regression y = b1*x + b0, what is E[b1] as n->infinity?
(this question and the answer were previously buried in my replies, don't cheat or i will bully you for it)
The responses to this were bifurcated between “this is a hard question no one would get” and “this is a trivial question everyone should get ”. Surely if “data scientist” means anything, it means you should be able to answer basic linear algebra and mathematical stats questions!
As I strive to provide #content for my followers, I typed up my ratings from this weekend. Of the 200+ wines I tasted, ~150 were producer samples of guaranteed quality, and ~100 of those were reds (I don't drink enough white burg to have an opinion). Editorializing to follow:
The scoring method was just A+ to F, since it needed to be simple enough to be robust to me getting smashed over the course of the tastings, since I didn't spit. The older wines were Friday, all the 2020s were Saturday.
It is probably not surprising that Dujac, Hudelot-Noellat, Salon, etc. had the best wines. However, I was very impressed with the Robert Chevillon NSG wines, and the Didier Fornerol regional appellations punched way above their weight. Denis/Arnaud Mortet was also great.