diab0lic

When people buy a car they sometimes get a loan from the auto manufacturer’s financial services arm. What they don’t usually get are warrants struck at a penny for 10% of the manufacturer.

You sound like you know what you’re talking about. I only think I know what I’m talking about. Help me understand: What am I missing in the OpenAI / AMD deal that makes it non circular?

> or you have to physically segregate inventory by vendor, which is not practical.

The headline seems to indicate that the geniuses in logistics at Amazon have figured out how to make it practical!

Your understanding is correct.

Until a few years ago most projects at Netflix were done with a handful of engineers ( <= 6 ). A dozen people working on something would have been considered very large. Four dozen would have been considered a company wide effort.

The difference is that in machine learning the changes between iterations are themselves caused by the gradient, in evolution they are entirely random.

Evolution randomly generates changes and if they offer a breeding advantage they’ll become accepted. Machine learning directs the change towards a goal.

Machine learning is directed change, evolution is accepted change.

I don’t really think that it is. Evolution is a random search, training a neural network is done with a gradient. The former is dependent on rare (and unexpected) events occurring, the latter is expected to converge in proportion to the volume of compute.

My team bought one of those for our on-call to carry around. I never wanted to let it go at the end of my on-call shift.

That would be a different subclass of anomaly detection solutions.

You are not wrong! An entire subclass of anomaly detection can basically be reduced to: forecast the next data point and then measure the forecast error when the data point arrives.

That’s fair, I should have caveated this statement with the fact that I don’t know much about using the modern AWS console.

There are likely a few factors at play here, including the fact that Netflix decided to go its own way in this regard ~15y ago.

Though I work at a smaller (but still large), newer company now we still also have our own stuff for this.

Once you hit a certain scale anything on the AWS console becomes impossible to use. It’s one of the reasons most high to very high scale companies use something else to manage cloud resources. See: Spinnaker and Asgard for Netflix specific examples, but also Terraform and the many alternatives.

Thanks for the textbook link, this looks right up my alley!

For those with more experience how does (Num)Pyro compare with PyMC? I haven’t had the good fortune of working with any of these libraries since before Pyro (and presumably numpyro), and with PyMC3 back when it used Theano under the hood.

Are the two libraries in competition? Or complimentary? I’ve been playing with PyMC for a personal project and am curious what I might gain from investigating (Num)Pyro?

I’d imagine it is fairly dependent on which cache you’re connected to.

Similar experience. I’m in my 30s and many peers in the same age group (add a standard deviation in each direction, but skew to the left) “don’t know how to cook” and door dash daily, sometimes dessert is a separate order made later. When I mention that it sounds wildly expensive it doesn’t even register. There’s a pretty large gap in the assumed baseline between people who don’t use these services and people who rely on them.

Errr that last sentence should end with “is what makes this non-ergodic.”

An example that may be useful to aid in understanding… Casinos are non ergodic.

A million players each placing a single bet will have an expectation of losing the house edge.

A single player placing a million bets has an expectation of $0.

The fact that the aggregate and the single entity Experience different expectations despite both placing a million bets is what makes this ergodic.

> It's almost like the banking system was designed by rich people to suit the needs of rich people or something.

Food for thought: If they didn’t have an investment manager before this, and their primary asset was a big house they couldn’t afford… these people weren’t rich. They were working class, over extended themselves into a house, and got lucky.

Your premise may have some validity but the story in this thread may be an example of a bank making a working class family rich.

The full paragraph is as follows.

> I happened to look at a slide deck from Sandia National Laboratories from 2007 that someone had posted on Reddit late last night (you know, as one does, instead of sleeping), and one particular slide jumped out at me:

The author is making fun of themselves for being up late reading this deck instead of sleeping. They’re not making fun of the person who posted the slide deck.

> All non-competes are harmful, end of story.

Ah. How could I be so foolish as to think there might be some nuance to the situation! For what it’s worth a lot of friends in finance are/were bummed about how this law might affect gardening leave. [0]

[0] https://finance.yahoo.com/news/whether-wall-street-garden-le...

VTSAX isn’t a free lunch, but you pay in risk rather than time spent managing real estate. It’s passive assuming you can handle drawdowns whereas real estate is passive assuming you think running a rental business is passive.

The whole conversation is very scope dependent. A species can be antifragile specifically because the constituent organisms are fragile. The species evolves not in spite of death and mutation (variation) of the organisms but because of it.

At the same time organisms themselves can be antifragile at a different scope. My body gets stronger when I stress the muscles, and gets weaker when I do not.

Edit to add… it is also very dose dependent. Zero muscle stress and I get weaker. Some and I get strong. Too much and I get rhabdomyolysis — an absorbing barrier.

Same goes for the species. No death means no evolution. Some means evolution. Extinction level deaths are an absorbing barrier.

I think you may have misread the quote you’re replying to. You and the GP post appear to be in agreement. I read it as:

P(ethical_and_principled) < P(ethical_and_principled|stands_to_gain)

Or in plain language people are more likely to do the right thing when they stand to gain, rather than just because it’s the right thing.

Would this increase prices, decrease prices, or leave prices unaffected?

Oh you’re right. I updated my comment to reflect that so as to not spread misinformation. That said the point stands. ISS junk hitting you will cause just as much damage as SpaceX junk.

For practical purposes does this matter? There is a lot of range between lethal and burns up on re-entry speeds for a ping pong table sized piece of debris.

The point of the article is that the frequency of launches is increasing, and the frequency at which pieces are surviving re-entry is increasing. I don’t think past performance is necessarily indicative of the future here.

The article also mentions pieces of the same Crew Dragon mission landing on the roof of a house in North Carolina. Pieces of a non Crew Dragon mission going through a roof, and floor of a house in Florida.

So no, the risk isn’t negligible.

It’s a CLI flag to the compiler that enables all warnings.

Hey Ghalib and Nathan,

Amazing work! Two questions:

1. What is the best avenue for potential customers to express interest in the addition of a new data source or sink?

2. I assume this runs on Polytomic owned compute? Is there a way to bring your own compute, or is it on the roadmap?

Thanks!