An update:
If your company is on the U.S. OFAC SDN lists, subject to an OFAC sanctions program, or owned/controlled by a company on the list, our ability to collaborate with you will be subject to restrictions, and you cannot be in the MAINTAINERS file.
That’s more like his opinion or a post facto justification. Turns out it is a US thing.
If your company is on the U.S. OFAC SDN lists, subject to an OFAC sanctions program, or owned/controlled by a company on the list, our ability to collaborate with you will be subject to restrictions, and you cannot be in the MAINTAINERS file.
So to get back, you have to basically prove that you have no relations with OFAC SDN companies.
This update is from https://lwn.net/Articles/995186/
The paper only says it’s a collaboration. It’s pretty large scale, so the opportunity might be rare. There’s a chance that (the same or other) researchers will follow up and experiment in more schools.
The interviews revealed that data scientists sometimes get distracted by the latest developments in AI and implement them in their projects without looking at the value that it will deliver.
At least part of this is due to resume-oriented development.
Sorry I wasn’t being clear. AC is used for connecting within areas of densely populated cities, e.g. British National Grid. If we are talking about really long distances (> hundreds of kilometers), HVDC is indeed preferred.
I was talking about a trend of some factories replacing AC from power grids (possibility generated in nearby cities) with DC from solar panels on their rooftops. So it’s a long distance compared to that.
Power grids would mean long distance power transmission, so AC has an advantage. If the point of consumption is near the point of PV generation, DC can and is already being used.
I know factories with solar panels on their rooftops to cut down power bills and instead of converting to high voltage AC, a custom-built DC power system is used.
From my understanding, MV3 kills vital features of ad-blockers in that
Wikimedia Foundation (the org behind the Wikipedia and similar projects) does get more donations than their operational cost, but that’s expected. The idea is that they’ll invest the extra fund[1] and some day the return alone will be able to sustain Wikipedia forever.
Although, some have criticized that the actual situation is not clearly conveyed in their asking for donation message. It gives people an impression that Wikipedia is going under if you don’t donate.
Others also criticized that the feature development is slow compared to the funding, or that not enough portion is allocated to the feature development. See how many years it takes to get dark mode! I don’t know how it’s decided or what’s their target, so I can’t really comment on this.
They publish their annual financial auditions[2] and you can have a read if you’re interested. There are some interesting things. For example, in 2022-2023, processing donations actually costs twice as much as internet hosting, which one would expect to be the major expense.
The link to the study is just a “Paid Search Ad” page. Ouch for the professionalism of Forbes.
They tried to build this abomination in London and it got shot down.
Maybe I’m missing something, but shouldn’t the benchmark be a good approximation to the real workload? I don’t see how the measurements reflect the performance difference in real life usages.
Why would I need 100MiB/s processing as opposed to 20MiB/s processing, when I can only read maybe several lines per second?
The Chinese Great Firewall (GFW) has already been using machine learning to detect “illegal” traffics. The arms race is moving towards the Cyberpunk world where AIs are battling against an AI firewall.
This, but unironically used as a marketing trick:
There was no v1 of Oracle Database, as co-founder Larry Ellison “knew no one would want to buy version 1”
That’s why the first Oracle database is v2.
Linux Foundation (of which Linus is an employee) is an US entity. RISC-V International foresaw this and chose to incorporate in Switzerland.