1,115 karma · joined February 11, 2014
The most popular existing codec AVC/H.264/MPEG-4 Part 10 is owned by the MPEGLA group with ~5500 active patents[0] in its portfolio, and the royalty sharing agreements[1] involved are free in small volumes yet become expensive at scale. A multi-tier fee structure for both hardware OEMs (think like the MPEG-2 license fee on the raspberry pi) and video distributors (Netflix et al) exist, where several large tech companies decided to band together in order to create a codec which isn't at the mercy of paying these license fees.
However, Sisvel wants to make their case against AOMedia's goal of a widely distributed free codec and extract up to 32 cents per device[2] based on their pool of a couple hundred patents[3] for both VP9 and AV1 codecs. We'll likely see this go to court and possibly drawn out over a long stretch of time if FRAND terms aren't able to be agreed upon between these parties.
Having a uniform royalty-free standard would be a net win for everyone involved- chip designers can add in an AV1 encoder/decoder without paying a license fee, software companies can freely encode & distribute AV1 videos, and end users have access to free video editing tools that wouldn't need to pay MPEGLA/Sisvel either. The alternative is waiting for the patents to expire and continue rewarding the rent-seeking behavior of NPEs/holding companies created to extract value at every possible step.
[0] https://en.wikipedia.org/wiki/Advanced_Video_Coding#Patent_h...
[1] https://www.mpegla.com/wp-content/uploads/avcweb.pdf Slides 7 & 8
[2] https://www.sisvel.com/licensing-programs/audio-and-video-co...
[3] https://www.sisvel.com/licensing-programs/audio-and-video-co...
My guess is that shipping companies like UPS have built out excess cold chain capacity intended for vaccine rollout during the pandemic, and now are sitting on a lot of empty subzero-capable freezers in their warehouses that Uber is renting for pennies on the dollar. As far as how excited people are to get a glorified TV dinner of leftovers not designed to be frozen then eaten a week later? The entire idea has a bit of silliness in that you could get prime ribeyes for 2 at a high end steakhouse locally versus a stale spaghetti dinner at the same price. And the bonus of not frivilously contributing to climate change in the process.
Heck, it's probably saving money being on the 10€/mo tier providing 2 TB of bandwidth while Vimeo wants to charge an order of magnitude more for essentially the same functionality, maybe only an inconvenience for those that want to watch on their phone during a commute or something similar.
Additionally the cards had actual utility where the rarest cards often had better effects than commons and decks would be built around these rarer cards to be used in a duel. For games like Fortnite where the items in the lootboxes are purely cosmetic, the kids who are playing know that they aren't getting any competitive advantages with different skins in playing. However this becomes a bit murkier in games like FIFA and Star Wars Battlefront 2, where the rarest items from lootboxes contained items that were better than those obtained through leveling up alone. The article says that "92 percent of the FIFA boxes are not bought with real money, but unlocked via football matches and are therefore simply part of the game of skill." which implies players can expect to get a reasonable number of good players to build a team with and a team constructed of said players on aggregate would not provide a significant competitive advantage.
My opinion is that players should spend time in games because they consider it to be fun rather than to be the best for the sake of being the best, and the in-game whales who spend the most $ on a game shouldn't be overpowered to the point where free to play players should feel they need to spend money to win.
Remote: Yes or Onsite
Willing to relocate: Yes
Technologies: Python, SQL, Numpy, Pandas, AWS, GCP, OpenCV
Github: https://github.com/kriegersaurusrex
Résumé/CV: https://docs.google.com/document/d/1w4vGfcsh0lvsTvccoecYviZc...
Email: kregasaurusrex@gmail.com
I completed a bootcamp specializing in data science, and have recently been working on Leetcode & algorithm problems to broaden my job search to include data science, data engineering, python development, or more generalized software engineering. Looking for a recent grad/mid level role where I would optimally be paired with a more experienced team of coworkers. My background is in Windows IT support for the past decade and have 2 years of python coding experience.
Remote: Yes
Willing to relocate: Yes
Technologies: Python, SQL, AWS, Numpy, Pandas, C#, OpenCV
Github: https://github.com/kriegersaurusrex
Résumé/CV: https://docs.google.com/document/d/1w4vGfcsh0lvsTvccoecYviZc...
Email: kregasaurusrex@gmail.com
Looking for a data engineering/analyst position (remote preferred). I completed a bootcamp specializing in data science, and am currently working on getting an AWS certification. My background is in Windows IT for the past decade and have 2 years of python coding experience.