We were inspired by the idea of making large machine learning datasets living & breathing assets that people can collaborate on, rather than the static ones of the past. Lately we have been working hard on optimizing the underlying Merkle Trees and data structures with in Oxen.ai and just released v0.19.4 which provides a bunch of performance upgrades and stability to the internal APIs.
To put it all to the test, we decided to benchmark the tool on the 1 million+ images in the classic ImageNet dataset.
The TLDR is Oxen.ai is faster than raw uploads to S3, 13x faster than git-lfs, and 5x faster than DVC. The full breakdown can be found here.
https://docs.oxen.ai/features/performance
If you are in the ML/AI community, or rust aficionados, would love to get your feedback on both the tool and the codebase. We would love some community contribution when it comes to different storage backends and integrations into other data tools.
Interesting note is Russia colonized Central Asia with the end goal of invading India.
https://www.amazon.com/Great-Game-Struggle-Central-Kodansha/...
If they're serious about their prior art bounty program, they're going to need to increase the bounties. Actual patent search firms charge a lot more money, and even lowly paid bureaucrats make a lot more.
When will the people who write these articles understand this?
I am convinced that today's house prices are tearing apart the fabric of society, without exaggeration.
https://doctorow.medium.com/the-rents-too-damned-high-1a04a5...
The topic is explains is expressed visually in these two maps, which shows county election results from 1976 to 2004. http://www.thebigsort.com/maps.php
One of the point is that due to economy, mobility and choice, Americans decide to settle where people are like them the most, and that this results in deeper political boundaries, especially in the context of our electoral system.
One takeaway is that individually we are not all different, and a single Democrat and Republican in a room would likely come up with compromises on differing issues. However when on Democrat/Republican is in a group of many like themselves, they tend to take the most extreme view, on average.
The other is that there used to be more friendly relationships between senior senators on both sides of the aisle. They would gather regularly to have a few cocktails even if they have strongly differing views. These bonds made it possible for them to work as a bi-partisan team to get legislation passed. These relationships no longer exist the way they used to, and many politicians are much more transient in the time they spend in DC.
If there is an adjustment in valuations across the industry,
it should not effect the public markets the way it did in 2000.
Isn't this only in the case where the said unicorn is not IPO'd. Like in the case with Groupon which lost 85% of it's value since IPO, the public market is affected.If these 59 unicorns go public and begin to loose money, they would effectively trigger a domino I believe.
Like the VCs who get in during the E/F rounds, the general public is also susceptible to similar behavior.
However even when they do, they will be a lot more operating history and financial information than what companies typically had in 2000. This is why you're seeing some recent tech IPOs that went public at a valuation lower than their last private round. An example of this is Hortonworks.