Shopify is absolutely fine with selling hate products as long as you give them their cut. If you're using them for free web hosting they draw the line. They probably also didn't splash out for the premium plan where you get a dedicated concierge.
It's wild to me that despite tremendous resources and 100+ years of time capitalism still kills millions of people a year with starvation and preventable diseases. But every right winger has a pet wikipedia page about a failed communist state with no critical examination of why they failed beyond "communism bad".
To clarify my stance I'm an anarchist and that page has a lot of good examples of successful worker owned collectives.
I don't really see how doing collusion through a Python backend is separate from my point? They're doing an obviously illegal and immoral thing but wrapping it in a layer of technology which obfuscates and apparently legitimizes it. The consumer view is one aspect but the companies and regulators have the same perspective.
Scavengers Reign is an amazing, 10/10 show and it's so depressing we'll never get a second season. I miss my telepathic dead wife salamander addiction metaphor.
Pretty sure the answer is ads. "Long-form" content has more opportunities to insert ads or sponsored content. There's not a lot of money to be made being quick and to the point.
People's viewing habits have also changed in response, rather than having the algorithm bounce them around they'd rather half-pay-attention to a 3 hour video. But I think the trend of ever-growing video lengths was spawned by a desire for more revenue.
I think the key insight that the article misses is that when consumers interact with an app they have an excess of trust in "the app".
I run an ecommerce site. It's hard as a small retail operation to keep inventory in sync and model the complex network of supplier relationships for special-orders: we can get some products in a day, some things in a week, some in 6 months. Nonetheless customers assume that the computer is the word of God, and that if the website lets them order a product that product must be available immediately.
When you make an app to do something that is illegal, people for some reason assume it is legal (or at least less bad) to do in the app. The presence of a computer intermediary somehow cleanses the action of moral ambiguity. I think this is because most people don't understand how computers work, and they assume that "the computer is always right".
This goes as far back as Babbage:
On two occasions I have been asked, 'Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?' I am not able rightly to apprehend the kind of confusion of ideas that could provoke such a question
I would argue that stuff like Iceberg is really aimed at Data Platform Engineers, not BI analysts. Companies I've worked with in the past have 10-15 people on a Platform team that work directly with stuff like this, to offer analysts and data scientists a view into the company's data.
Yeah working in the data space I see a ton of customers using Iceberg and some using Delta Lake if they're already a Databricks shop. Virtually no Hudi.
The problem in The Big Short was that lenders bundled many loans with correlated risk and advertised the resulting bundle as less risky. Because of the demand for these bundles they issued and bundled increasingly risky loans as time went on. Eventually when the market corrected all of these loans defaulted at the same time.
I'm gonna say the people are real but they're green screened onto AI backgrounds. Although the man leaning on the pillar one is just uncanny for multiple reasons.
Ah yes high tech, an industry where there's famously no weird distorting influence from VCs subsidizing unprofitable business models to grab market share.
Spark is "in-memory" in the sense that it isn't forced to spill results to disk between operations, which used to be a point of comparison to MapReduce specifically. Not ground-breaking nowadays but when I was doing this stuff 10+ years ago we didn't have all the open-source horizontally scalable SQL databases you get now - Oracle could do it and RedShift was new hotness.
"don't have much in common with warehouse workers" is so demonstrative of the American lack of class consciousness.
The people making 200k a year are still workers. They may have savings and insurance that make them feel more secure, but they still need to clock in every day to afford to be alive. Their activities in their day to day life are constrained by "will Amazon fire me for this". If they ever suffer some kind of injury that prevents them from doing their day job they would quickly discover that their position is just as precarious as the delivery driver who brings them their cheap plastic shit from China.
It is definitely tough to get tech workers to unionize. There's a lot of possible lines of organizing like not destroying the Earth, or not contributing to genocide, or solidarity with staff who don't make 200k a year. But historically labour organizing has been about the immediate material circumstances of the workers, because people are pretty selfish and short sighted in aggregate.
This sounds conspiratorial but where I live this is literally the case. Owners of buildings and large businesses in the downtown core (which has been vacant due to WFH) are collectively lobbying large employers to force RTO. It's not a secret, it's a public project to "save our downtown".