buzzscale
https://www.mit.edu/people/dpolicar/writing/prose/text/think...
Building Your Generative AI Apps with Meta's Llama 2 and Databricks
Inflection AI raises $1.3B in funding from Microsoft, others
Databricks Puts Unified Data Format on the Table with Delta Lake 3.0
Even if they were, and I was going for a dragnet operation to go after tools that could potentially infringe terms of service of big corporations, I would go after every tool and every fork. Not just 1 package. But again, what court would allow such action?
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.
https://www.databricks.com/blog/2023/04/12/dolly-first-open-...
There was a thread on reddit about this:
https://www.reddit.com/r/dataengineering/comments/121mm5c/ma...
I am working with customers that are looking to train a homegrown LLM that they host and have blocked access to ChatGPT.
https://www.datanami.com/2023/03/24/databricks-bucks-the-her...
https://youtu.be/ZXP8gH0wddE?t=386
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.
https://worldpopulationreview.com/country-rankings/income-in...
Building our Data Platform: Why we have chosen Databricks over Snowflake
"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."
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 made a website that rates the latest movies by analyzing social media
Let me know what you think. I'd like to expand it to more data sources and also start analyzing other products such as tv shows, books, video games, phones, cars etc...