Fascinating. Seems like similar issue risk management issue to silicon valley bank where they didn't account for a jump in interest rates and increase in inflation.
That doesn't make any sense though. What benefit would DOJ get from getting the IP address of everyone who downloaded ytp-dlp? They aren't the enforcement arm of google's terms of service, which is a civil matter.
Even if they were, and the DOJ was going for a dragnet operation to go after tools that could potentially infringe terms of service of big corporations, they would go after every tool and every fork. Not just 1 package. But again, what court would allow such action and why?
If I was in the DOJ and was investigating a malicious package uploaded to PyPI, I would ask for the IP's of the downloaders to see if the uploaders dun goofed and downloaded their package shortly after uploading off VPN. Or to find out if any major corporations were impacted by downloading the malicious package and to inform them.
This is one of the reasons Databricks created Dolly, a slim LLM that unlocks the magic of ChatGPT. A homegrown LLM that can tap into/query the datasets of all the data in an organizations Data Lakehouse will be hugely powerful.
I am working with customers that are looking to train a homegrown LLM that they host and have blocked access to ChatGPT.
Millennial home ownership lags sharply behind previous generatons. He's not saying that we have feudalism. He's arguing that is the direction the world is heading with increasing inequality. This video does a good job of explaining his views:
I particularly like his point about why homes have risen from 2-3x wages to 20-30x wages, this was a question I had always pondered about and could never find a good explanation for. The GINI data you posted is interesting but ends at 2018 and if I had to guess the pandemic has only worsened inequality. Asset prices such as homes have risen sharply putting them out of reach for many families.
Edit:
Looks like has worsened signficantly:
The United States’ Gini coefficient is .484, the highest it’s been in 50 years according to the U.S. Census Bureau. The U.S. has the highest Gini coefficient among the G7 nations. The top 1% of earners in the United States earn about 40 times more than the bottom 90% of earners.
“My grand, macro thesis is that real interest rates have to stay low, and that’s because the rich have all the wealth and like saving,” he reflected. “Now, no matter how hard you work, how smart you are, if you come from the ‘wrong’ family you’ll probably never own property. That is feudalism. We’re going back into a world of aristocracy. Capitalism’s over.”
Thats where Databricks comes in though, you can implement row/column based security on your data on cloud object storage and use it for all your downstream use cases (Not just BI/SQL but AI/ML without piping data over JDBC/ODBC).
It's not like they are looting them to Philly to put them on display. They shipped them to Drexel university to do additional research like extracting proteins and trying to extract DNA so they can make Jurassic Park.
"The researchers performed laser scans of all of the bones and published 3-D models of each. That could allow other paleontologists to study the fossil from afar and even print three-dimensional replicas of the bones. Dr. Lacovara and his collaborators are undertaking additional research to use the models to study how Dreadnoughtus moved.
Even some softer tissues like tendons were preserved, and the scientists are trying to extract proteins and possibly DNA from some of the bones."
I want to do this if I am successful in marketing this website and people enjoy using it. Once I've perfected the scoring algorithm, classification, website design/UI and data sourcing (to incorporate reviews & forums), I plan on expanding to video games, tv shows and books.
Eventually it would be cool to do stuff like material goods (cellphones, appliances, etc...) so that consumers have another users to leverage when trying to find something to buy. Imagine being able to compare cars based on what people are writing across the web about the cars durability, performance, comfort when shopping for a car!
But right now I'm working on the website by myself and have a ton of work to do.
I use the rotten tomatoes API to get the movies and automatically create them as blogs in Wordpress using the wordpress xmlrpc interface. I use the Clarabridge API for classification and sentiment. Facebook's graph search API & Twitter API for the data. And duct tape to hold it all together :).
https://www.mit.edu/people/dpolicar/writing/prose/text/think...