A lot of people purchasing their products have a vague understanding of the problem they're trying to solve and an even worse grasp of how dbx solves it for them. I'm living this first hand.
we have databricks at my company 50m ARR, 150 employee. With 0 full time Data Engineer (1 data scientist + 1 db admin manages everything on there as part time jobs). We are able to have data from like 100 transactional database tables, Zendesk, all our logs, every single event from eveery user in our mobile application, banking data all in 1 place. We are a 2-sided marketplace, we can easily get 360 degree data on our B2B customers, B2C customers, measure employee producting.
My team of 3 data scientists are able to support a a culture of experimentation, data-informed decision making and support the entire org, and we are still growing 15% YoY.
And we do all that 30k annual spend on databricks. That's less than 1/5 the cost of 1 software engineer. Excellent value for money if you ask me.
i struggle to imagine how else we can engineer a hub for all of our data and manage permissions appropriately at less tooling and engineering cost
no we don't. Our plan includes some support, but we honestly haven't needed it.
We are also aggressive about sizing compute resources to the task, and foregoing some of the more costly "easier serverless options" that databricks provides. Their serverless SQL though is excellent value for money.
They do hire plenty of American citizens, but the lengths they go to hire people on H-1Bs make me think they get something extra out of it. At FB you'd often see big boards of "public job postings" in internal lobbies that I can only assume were to comply with some arbitrary requirement.
Hiring at FAANGs is hard. A lot of the H-1Bs I worked with got internships somehow, which is a lot less hoops, and they were good in the internship, so you want to give them an offer when they graduate. If they need an employment visa, then you have the experts research their experience and craft a job ad that only they can fill, and place it where it will be least seen but complies with the law.
That's abusing the system, but I dunno, better than abusing the employees that I hear about... Or the straight up fraud where immigrants were paying to get hired on h-1b for fake jobs, or the abuse where job shops would submit 3x the applications for the number of positions they actually had, etc.
That’s for people who already have H1Bs, this is the company trying to keep them long term by getting them a green card. The whole EB green card system is a bit of a mess.
Off the top of your head, could you describe a good/great ml ops infra setup? I've been reading what I can about state of the art ml ops after not being in the space for a few years and metaflow comes up a lot.
Nothing touches https://windmill.dev. There are some rare instances where you still may want Airflow, but even so, windmill and airflow complement each other well. If you need notebooks, I recommend https://docs.marimo.io/
If I were interested in assembling an authoritative, up-to-date list of trusted CAs, would be reasonable to source lists from the major trust store providers and select only those CAs trusted by all of them? I know it's possible to be a lot more sophisticated and that even that can be flawed, but I'm hunting for a simple-to-follow criteria for now.
The CCADB tracks the various root programs, so you could do this today[1]. In practice however I think you’d be best off just using the Mozilla root program; I believe they’re as (if not more) strict than the corporate root programs in terms of inclusion.
My favorite pet theory is that Musk taking over Twitter is to disentangle the bureaucratic and journalistic class from the direct Tumblr/4chan content pipeline they've all been drinking from for years. The only way he could make it work was to make the space as distasteful as possible. I'm giving him way too much credit, of course, but I can dream.
He offered to buy an unprofitable company for 10 times what Disney paid for Lucasfilm because "funny number", tried to back out of the deal any way he could, and in the end was forced by a court. What are you talking about?
I assure you the 4chan content pipeline has increased an order of magnitude since the Musk takeover. A comment thread on an Elon post will consistently have multiple posts with >100k views containing slurs or "jews bad Hitler good" accounts.
Clearly yes; my point was that the taste and decision makers that previously might've taken stronger cues from Twitter are now much less likely to see it as a venue for worthwhile discussions. I'm probably overvaluing that vs the harm of broadcasting puerile content, but I recognize this is fundamentally an unserious take.
I never saw this substantiated, but I heard that they had on-device systems that they used in emergencies for stuff that was particularly bad + easy to scan for. The time I heard of it being deployed was to prevent the spread of the Christchurch shooting video.
I don't believe this was in the original edition, but someone can correct me if I am wrong: he proposed the concept of "signifiers" to fill the definition that people were increasingly giving to "affordances".
A signifier helps to indicate the presence of an affordance that might not be immediately apparent.
I haven't read too closely, but no one is building meaningfully affordable housing in Atherton. Each unit in the development would easily sell for millions.
CA/the bay area should focus on packing high density housing closer to transit lines, not lifting apartments in areas that are an hour+ walk from transit to score political points.
To the best of my knowledge it's mandated by the state — our old city council used to refer to our town as "complete" and slow rolled housing an approach which, to the best of my knowledge, would just yield state intervention with local decision-makers removed.
This struggle reminds me of my personal battle with morning glories, nadinas, and bermuda grass, and a neighborhood effort to remove several ailanthus from along a local creekbed. Rhisomatic weeds are just a style of plant that we've never developed a good strategy for, outside continuous poisoning with something like glyphosate.
If you do ever see an ailanthus seedling, dig it out if you can. They're terrible and I've even seen them crowding out young redwoods here in northern CA.
https://extension.psu.edu/tree-of-heaven
Dig out every single sapling too. I despise those trees so much here, they take over every thing and smell awful. Their root system when they're larger is expansive, I had to use a backhoe to dig out enough of the root system to get it to stop spreading and now it's a non-stop battle digging out the saplings. Previous owners loved the look, or it showed up by accident, but a 30' tall tree of heaven is no joke to exterminate.
I think in college I rented a house where ailanthus was growing up through the lawn. Every year we pulled starts out and the foul odor in that description makes me think that was it.
