2,349 karma · joined September 12, 2014
Imagine if Trump sold cars.
And you continue your toxic language in virtually every musk related thread.
FBI warned Twitter about Russian adversarial actions, which is known and documented by anyone not blinded by their made in China maga hats
- I agree that, by default, the on-demand pricing model is pure consumption, and folks can and do mess up sometimes.
- I had a habit of refunding folks when they asked, and if they made obvious mistakes, even though it took me an average of 3-4 hours to process each refund.
- BigQuery has cost controls to prevent runaway costs, sounds like you must check it out ASAP
- BigQuery also has a DDL option to require users to include a partition filter predicate in queries
- BigQuery also has flat-rate pricing, on which the vast majority of folks above SMB on. There are no runaway costs with this one.
I think generally BigQuery is a great example of an extreme serverless consumption-model. You have thousands of cores at your fingertips, and, well, if you do something that overuses, you are allowed, but you do pay for it.
>I see a lot of bad things on Tesla FSD and I totally get the critics...I think FSD is quite impressive compared to any other self driving software I've seen. > >Would you mind to direct me to similar videos from Waymo for example in similar situations? I can't find anything even remotely as good as what Tesla is doing now.
I can't believe one can make an honest argument that Tesla is ahead of Waymo on FSD
These are easily searchable which leads me to question your sincerity in feinting ignorance.
These tail risks are impossible to predict, and volatility of volatility of these events is incredibly high. So your expected value is better to think of as a "very broad range with a positive mean" - are you comfortable with this?
Market makers do this as a free way to cover delta risk in that direction. If you have +100 delta, selling 100 "units" (way out of the money options) is a nice way and doesn't carry any other greeks.
I've seen speculators do this, but they're playing with fire. I've seen an investor risk 9 digits to pick up $50k a minute before strike expiration, not realizing that the actual settlement is the next day (so adversarial events can still happen).
I'm not sure this is such a good idea.
Professional companies that do equity options market making have major natural advantages over you:
- They are at the front of the line of any order if they're on the NBBO, so they're going to capture the spread
- They get order flow from offline brokers, which tends to be high volume and have higher edge
- They do gobs of volume every day and hope to make a fraction of a penny per transaction.
- A typical market maker makes markets in 500+ stocks at any one time. Good luck doing that on your own.
- They've invested in being as physically close to the actual exchanges as possible so that they can be first to respond
- They're rarely greeks neutral beyond delta
- As registered market makers, they have tax advantages you do not
https://medium.com/@vtereshko/data-warehouse-storage-or-a-da...
(Pm on BigQuery)
(Product manager on BigQuery)
Here's a recently built Graphite connector as well:
A couple of thoughts:
1. It'd be interesting to see these benchmarks "under real-world adversity". For example, as data is ingested into the DW, as data shapes change, as concurrency of workloads varies.
2. It'd be great to measure "effort" to reach and maintain this performance.
DW vendors are trained on optimizing for static TPC benchmarks with concurrency of 1, which are useful, but can miss the boat on what users actually experience.
(BQ PM)
(BQ PM)