When have quants ever used good decision making as a basis for their trading? Saying you use AI brings in investors, that's good enough for quant funds.
This is a gang war between rivaling drug gangs. Sweden has a serious gang problem and also the highest rate of drug deaths in all of Europe. Something needs to be done.
There have been some good progress recently in resolving murder cases, (which is the most effective way to reduce gang killings), but unfortunately most of the political effort in this area has been to increase jail times and blame immigrants. There are also concerns that the new legal system reforms weaken civil rights protections beyond their gang-combatting purpose. The association by politicians and voters of reducing immigration with combating gangs is inaccurate and unfortunate, as while most of the foot soldiers have immigrant parents, they are often still Swedish citizens, just from a poor, segregated neighborhood. There is not much public discourse on whether the capos and leaders are immigrant, Muslim, etc.
Sweden is very much still clinging to a imagined victory in the war on drugs. In Sweden, having drugs in the bloodstream is punishable with prison, and all Swedish parties in parliament are strictly against drug legalization. In line with solidarity culture, drug users are blamed for financially supporting gang violence.
25l water tanks with tap water and/or forklift water tanks.
Sure, but you can also rip off electrons from atoms by rubbing them or bending a piece of wire. The energy needed to trigger fission in uranium is less than a picojoule, it just needs to be focused enough to knock away the part of the atom, which is why neutrons are the most common way.
Here is a chart with the rate of fusion for two hydrogen atoms at various temperatures.
https://en.m.wikipedia.org/wiki/Nuclear_fusion#/media/File%3AFusion_rxnrate.svg
This chart bottoms out at a few million degrees, since the probability is extremely low.
Sure, but people probably don't expect ram slots on a smart watch. Just a replaceable screen, housing, mobo, dials, and battery would do a lot.
Right, that's probably true. Video encoding hardware and storage is incredibly cheap, but we get talks from netflix engineers where they're talking about how they're limited by dram bandwidth on their servers.
Some napkin math:
Youtube has ~7M average concurrent viewers.
https://streamscharts.com/overview?platform=youtube
A 1080p av1 stream is roughly 2-3mbits, maybe 5mbits for 60fps. You could serve all of those users with 14tbps of bandwidth, then.
Stockholm peering pricing for 14tbps (rough ballpark at this scale tbf) over 43x 400gbit ports at a Stockholm Internet eXchange, would cost about 240k EUR/month, with a 25% volume discount.
https://www.netnod.se/ix/netnod-ix-pricing
For comparison, Mastodon's monthly donations are about 30k EUR/month, and lemmy.world receives about 2k EUR/month.
Super rough calculations, but there's probably enough of a base in the fediverse for us to take over like 5% of Youtube's viewer base, funded through donations. Not as cheap as wikipedia, but still doable with a committed open-source community. Beyond that, and a netflix/spotify/nebula subscription model would allow to fund further market share.
It's notable to see though that Nebula seems to have millions in monthly revenue, but only about 700k subscribers (aka barely 100k concurrent streams). However I believe the majority of their expenses are going towards their creators and towards marketing for future growth.
But yeah, I think network effect is a bigger barrier than cost here.
The fact that they can do expensive, on-the-fly video processing like this, and still make a profit, proves that video hosting costs are not an insurmountable barrier for the open-source internet. We need to make hardware accelerated peertube ubiquitous, and get creators to move over.
Not even loss, my disappointment is immeasurable.
EDIT: updated
Hamas could be you! Hamas could be me! The UN is hamas!
Ideally busses would be cheaper/subsidized, but driving for recreation is valid. Carpool if you can.
Maverick is not a car, it's a two-ton truck that uses 3.8gal/100 MI. Also, there's insurance and maintenance to worry about.
Förskola/daycare before 6 is not compulsory
I think suburb in English can mean nearby cities, too. For example, Alexandria, Virginia is a suburb of Washington, DC.
If I wanted a device with a plastic screen and a fragile hinge, I'd carry around a Nintendo DS
That symbol just means the water is not potable. You see it on the taps on trains in Sweden.
I think they added some compatibility in the past year or so but I had issues detecting my microphone on Linux just 2 weeks ago. I've had some smaller ecommerce sites fail to load properly on Firefox/Librewolf, Red Hat's Training website doesn't work on Firefox, and also some features on apps like Google Meet and Miro are unavailable. It's nothing that makes firefox unusable, and I can always open up ungoogled chromium when needed, but it is a serious issue for browser diversity and competition that the web has defaulted to chrome now.
A defective CrowdStrike kernel driver sent computers around the globe into a reboot death spiral, taking down air travel, hospitals, banks, and more with it. Here’s how that’s possible.
https://web.archive.org/web/20240719155854/https://www.wired.com/story/crowdstrike-outage-update-windows/
"CrowdStrike is far from the only security firm to trigger Windows crashes with a driver update. Updates to Kaspersky and even Windows’ own built-in antivirus software Windows Defender have caused similar Blue Screen of Death crashes in years past."
"'People may now demand changes in this operating model,' says Jake Williams, vice president of research and development at the cybersecurity consultancy Hunter Strategy. 'For better or worse, CrowdStrike has just shown why pushing updates without IT intervention is unsustainable.'"
Four vulnerabilities collectively called "Leaky Vessels" allow hackers to escape containers and access data on the underlying host operating system.
Docker security advisory about multiple vulnerabilities in runc, BuildKit, and Moby: We will publish patched versions of runc, BuildKit, and Moby on January 31 and release an update for Docker Desktop on February 1 to address these vulnerabilities. Additionally, our latest Moby and BuildKit re...
Seems like a really serious vulnerability, any container attack or malicious image could take over a container host if there's no hardening on the containers.
I wanted to share an observation I've seen on the way the latest computer systems work. I swear this isn't an AI hype train post 😅
I'm seeing more and more computer systems these days use usage data or internal metrics to be able to automatically adapt how they run, and I get the feeling that this is a sort of new computing paradigm that has been enabled by the increased modularity of modern computer systems.
First off, I would classify us being in a sort of "second-generation" of computing. The first computers in the 80s and 90s were fairly basic, user programs were often written in C/Assembly, and often ran directly in ring 0 of CPUs. Leading up to the year 2000, there were a lot of advancements and technology adoption in creating more modular computers. Stuff like microkernels, MMUs, higher-level languages with memory management runtimes, and the rise of modular programming in languages like Java and Python. This allowed computer systems to become much more advanced, as the new abstractions available allowed computer programs to reuse code and be a lot more ambitious. We are well into this era now, with VMs and Docker containers taking over computer infrastructure, and modern programming depending on software packages, like you see with NPM and Cargo.
So we're still in this "modularity" era of computing, where you can reuse code and even have microservices sharing data with each other, but often the amount of data individual computer systems have access to is relatively limited.
More recently, I think we're seeing the beginning of "data-driven" computing, which uses observability and control loops to run better and self-manage.
I see a lot of recent examples of this:
- Service orchestrators like Linux-systemd and Kubernetes that monitor the status and performance of services they own, and use that data for self-healing and to optimize how and where those services run.
- Centralized data collection systems for microservices, which often include automated alerts and control loops. You see a lot of new systems like this, including Splunk, OpenTelemetry, and Pyroscope, as well as internal data collection systems in all of the big cloud vendors. These systems are all trying to centralize as much data as possible about how services run, not just including logs and metrics, but also more low-level data like execution-traces and CPU/RAM profiling data.
- Hardware metrics in a lot of modern hardware. Before 2010, you were lucky if your hardware reported clock speeds and temperature for hardware components. Nowadays, it seems like hardware components are overflowing with data. Every CPU core now not only reports temperature, but also power usage. You see similar things on GPUs too, and tools like nvitop are critical for modern GPGPU operations. Nowadays, even individual RAM DIMMs report temperature data. The most impressive thing is that now CPUs even use their own internal metrics, like temperature, silicon quality, and power usage, in order to run more efficiently, like you see with AMD's CPPC system.
- Of source, I said this wasn't an AI hype post, but I think the use of neural networks to enhance user interfaces is definitely a part of this. The way that social media uses neural networks to change what is shown to the user, the upcoming "AI search" in Windows, and the way that all this usage data is fed back into neural networks makes me think that even user-facing computer systems will start to adapt to changing conditions using data science.
I have been kind of thinking about this "trend" for a while, but this announcement that ACPI is now adding hardware health telemetry inspired me to finally write up a bit of a description of this idea.
What do people think? Have other people seen the trend for self-adapting systems like this? Is this an oversimplification on computer engineering?
The latest patch today, 13.23 makes the game instacrash after champ select, be warned. Don't start a match on Linux until it's fixed.
https://leagueoflinux.org/
Charges of €12.99 a month smartphone users for and €9.99 for desktop introduced to comply with EU data privacy rules
Awful to see our personal privacy and social lives being ransomed like this. €10 seems like a price gouge for a social media site, and I'm even seeing a price tag of 150SEK (~€15) In Sweden.