62 karma · joined July 3, 2018
BUSD as of Oct 29th had a market cap of $13.1B USD which was fully backed by fiat USD held in bank accounts which are audited monthly [1]
USDT has a market cap of $74B and has never been fully audited and last released an attestation report in March 2021.
Personally, you would have to pry my Bitnami images out of my cold dead hands.. there is just no way my team of 2 can do anywhere near as good.
In fact the opposite is starting to be true: assets from game A being usable in game B.
I have never noped out of anything so hard.
I just dont understand.
I had an identical experience to yours on Facebook, but my Twitter accounts are carefully curated by topic and their timelines are generally excellent.
Thoughts:
- Support, including paid enterprise support, was hilariously bad. It would take 3 days of escalations to the account manager to get even get someone to look at a ticket, weeks to resolve anything.
- Billing is a broken mess. There is no common uuid between the billing and storage systems. It's literally not possible to link a billing line to a storage resource. Nobody at IBM I discussed this with felt it was a problem, but my stack dynamically provisions disks so this was actually a huge issue for me.
- Managed IoT services would change under us with no notice, new quotas kicking in that took us completely offline. Nobody bothered to reach out before flipping the quotas on.
I could continue but I think you get the picture.. dont take their $1k/mo poison pill, you dont want to go prod with these incapable morons.
Keep this in mind whenever someone decides Rails is fine for a quick prototype and then leaves you to deal with production.
I am of the unpopular opinion that Rails "many opinions" are confusing as hell to someone who doesnt breathe Rails due to the sea of implicitness: Symbols just appear you are supposed to know where from, debug requires context dumps, gems are an unholy mess of registering hooks and overloading core apis. Combined with "slow as a dog", I really dont see what there is to love here.
I start my data as .csv.gz but the first step is a CTAS to extract columns and convert to compressed parquet. This step basically costs the most but gives a 10x data size reduction to downstream steps.
Athena does not work at all if you perform large numbers of small indexed read queries, definitely use a traditional database for that.
With k8s, a horizontal autoscaler is a few lines in a yaml file and the result works in any cluster run by any vendor.
I was in a bad place.
The phone rang. I knew I shouldn't pick it up, but I was in a bad place.
It was "microsoft", and they needed immediate payment to avoid legal action.
I am a little ashamed of what happened next but I dumped every curse word I could think upon that indian guy. It had nothing to do with him really, but I really let him have it.
Honestly, I feel bad looking back at it.
He may have been wrong, but I was wronger.
He is trying to survive like everyone else.. who the hell am I to sit in the comfy first world and judge?
If you need complex relationship models, ObjectionJS sits on top and will auto-manage relationship tables and all that nasty stuff for you.
The load times of my site, the quality of my stats and the privacy of my users have all been improved.
Weedmaps is the defacto "local" black market source in my area, I can have product in hand within 2 hours from a selection of dealers.
Sellers post their "menus" on the app and leave a phone number or email. Responses are quick. Delivery is $10-15 usually.
Most will verify you are 19+ when they drop it off, as selling drugs to minors has historically had stiffer penalties then selling to adults. The laws have all changed now and the first person was just charged with possession under the new laws last week.
Brick and mortar just recently launched in this province, it was rushed and isnt in good shape. Other provinces are faring better in this regard.
The product selection is large, but in stock inventory of lower-priced products especially tends to be lacking. Some clearly over-priced products are trying to be the "Apple of weed" and failing, the market should sort that out.
An unexpected challenge of legalization is that new users can get overwhelmed by choice. Our government has unfortunately repeated the old indica=sleepy, sativa=energetic nonsense in the official literature despite advances in the science showing that while these distinctions are great to seperate plant types they distinguish between effects poorly.
I have been working on a project [1] that attempts to index the scientific literature and provide a better, evidence-based path towards cultivar selections. Every endocannabinoid system is different so this will never be totally correct, but it can at least trim down the options for new users.
The extra radio allows them to blow the pants off any repeater in terms of performance.
They also claim to do some network optimization, for example if you have a device that's constantly streaming Netflix it will be assigned appropriate QoS automatically.
1) there is no need to import anything but numpy to get at pi or e (see constant section of numpy docs).
2) if you wrap all your things you expect to behave like vectors/matrices with np.array() and only use np methods to operate on them you will suffer from shape mismatches instead of TypeErrors, a slightly better fate.