technology

china leading the world in battery-swapping technology.

According to the investigation, another reason for the large number of targets, and the extensive harm to civilian life in Gaza, is the widespread use of a system called “Habsora” (“The Gospel”), which is largely built on artificial intelligence and can “generate” targets almost automatically at a rate that far exceeds what was previously possible. This AI system, as described by a former intelligence officer, essentially facilitates a “mass assassination factory.”

According to the sources, the increasing use of AI-based systems like Habsora allows the army to carry out strikes on residential homes where a single Hamas member lives on a massive scale, even those who are junior Hamas operatives. Yet testimonies of Palestinians in Gaza suggest that since October 7, the army has also attacked many private residences where there was no known or apparent member of Hamas or any other militant group residing. Such strikes, sources confirmed to +972 and Local Call, can knowingly kill entire families in the process.

“All of this is happening contrary to the protocol used by the IDF in the past,” a source explained. “There is a feeling that senior officials in the army are aware of their failure on October 7, and are busy with the question of how to provide the Israeli public with an image [of victory] that will salvage their reputation.”

https://www.cnn.com/browser-blocked

It lets me check the Gaza war updates page but it seems any other page (homepage etc) is that crap.

I did "Update now" - ~~the problem remains.~~ I fixed it. It was an adblock issue.

---

Edit: What are they talking about?

Data is written in a square glass platter with ultrafast femtosecond lasers through voxels. These are permanent modifications to the physical structure of the glass, and allow for multiple bits of data to be written in layers across the surface of the glass. These layers are then stacked vertically in their hundreds.

To read data, they employ polarization microscopy technology to image the platter, while the read drive scans sectors in a Z-pattern. The images are then sent to be processed and decoded, which leans on machine learning model to convert analog signals to digital data.

Does anyone have a good guideline for computing requirements? I'm not planning to stream like with PleX or anything, I just want something I can stick on the back of my projector and forget about except for when I want to watch something or download something.

Requirements

• Small form factor
• Low power draw
• Enough SSD space for ~6 movies
• Storage expandable by external flash device
• Wi-Fi (my modem can't be moved closer)
• Bluetooth AND 3.5 mm for audio out

Something like the Nvidia Shield would be perfect but its too hard to download things onto it directly. Ideally, I wouldn't have to have a personal computer other than this device. Currently, I plug my laptop in and stream, but my streaming sites no longer work well and it does not have the storage for me to download movies.

Since I am not trying to use this as a home server to stream off of, I shouldn't need a lot of computing power for transcoding or parallel sessions or nothing like that.

AS mentioned in the title, my budget is around $150 (not including external storage). Any more than that, and it's not worth upgrading from my laptop.

Recent years have seen a surge in the popularity of commercial AI products based on generative, multi-purpose AI systems promising a unified approach to building machine learning (ML) models into technology. However, this ambition of “generality” comes at a steep cost to the environment, given the amount of energy these systems require and the amount of carbon that they emit. In this work, we propose the first systematic comparison of the ongoing inference cost of various categories of ML systems, covering both task-specific (i.e. finetuned models that carry out a single task) and ‘general-purpose’ models, (i.e. those trained for multiple tasks). We measure deployment cost as the amount of energy and carbon required to perform 1,000 inferences on representative benchmark dataset using these models. We find that multi-purpose, generative architectures are orders of magnitude more expensive than task-specific systems for a variety of tasks, even when controlling for the number of model parameters. We conclude with a discussion around the current trend of deploying multi-purpose generative ML systems, and caution that their utility should be more intentionally weighed against increased costs in terms of energy and emissions. All the data from our study can be accessed via an interactive demo to carry out further exploration and analysis

Text-based tasks are, all things considered, more energy-efficient than image-based tasks, with image classification requiring less energy (median of 0.0068 kWh for 1,000 inferences) than image generation (1.35 kWh) and, conversely, text generation (0.042 KwH) requiring more than text classification (0.0023 kWh). For comparison, charging the average smartphone requires 0.012 kWh of energy 4 , which means that the most efficient text generation model uses as much energy as 16% of a full smartphone charge for 1,000 inferences, whereas the least efficient image generation model uses as much energy as 950 smartphone charges (11.49 kWh), or nearly 1 charge per image generation, although there is also a large variation between image generation models, depending on the size of image that they generate.

the most carbon-intensive image generation model (stable-diffusion-xl-base-1.0) generates 1,594 grams of 𝐶𝑂2 for 1,000 inferences, which is roughly the equivalent to 4.1 miles driven by an average gasoline-powered passenger vehicle 5 , whereas the least carbon-intensive text generation model (distilbert-base-uncased) generates as much carbon as 0.0006 miles driven by a similar vehicle, i.e. 6,833 times less. This can add up quickly when image generation models such as Dall·E and MidJourney are deployed in user-facing applications and used by millions of users globally

Further enshitfication of the platform?

Y'all are trans, and I know how much you trans Zoomers code (no idea if that's a Linux thing or not tho), so I thought I might try Hexbear for some tech help. I'm fried, I've watched so damn many tutorials and read so many threads on this but I can't seem to work it out. I barely know a few basic commands in the console, and the alphabet soup of different directories, programs, and the very language that's used to discuss Linux is too much for me to process. I've learned a lot, but I need some help.

I've built a pretty nice server that's not doing much right now besides NAS storage. I'm running a TrueNAS scale VM on Proxmox, I'm filling it up with all my pirate booty, and I want to watch it through Jellyfin, which I have installed to an LXC container (unprivileged for security, tried it both ways and I can't get it). The problem is, how do I get jelly to see the NAS drive? I don't know how to map it one way or another. I'm running the storage through an HBA in ZFS mirror with an SMB data set that I can see just fine and access in Windows, but jelly seems to just be stuck in it's own little world.

I've seen things about creating users within jelly, which I tried, and it just tells me that the user I supposedly created with SMB credentials doesn't exist. Tried using the GUI to find the NAS via IP, no dice. I'm fucking tired, I've been at it for a week or so now, I just want to watch a movie this weekend.

I will read arcane texts by candlelight before I watch ads. fuck off. Susan Wojcicki go to fucking hell

a bunch more are being made

I want more of these in California

This wind farm generates 130-megawatt (MW)

"this stuff absorbs heat...it probably tastes cool and refreshing?" (eying forbidden thermal paste tube)

Unidentified governments are surveilling smartphone users via their apps' push notifications, a U.S. senator warned on Wednesday. In a letter to the Department of Justice, Senator Ron Wyden said foreign officials were demanding the data from Google and Apple. Although details were sparse, the letter lays out yet another path by which governments can track smartphones.

Apps of all kinds rely on push notifications to alert smartphone users to incoming messages, breaking news, and other updates. What users often do not realize is that almost all such notifications travel over Google and Apple's servers.

That gives the two companies unique insight into the traffic flowing from those apps to their users, and in turn puts them "in a unique position to facilitate government surveillance of how users are using particular apps," Wyden said. He asked the Department of Justice to "repeal or modify any policies" that hindered public discussions of push notification spying.

In a statement, Apple said that Wyden's letter gave them the opening they needed to share more details with the public about how governments monitored push notifications.

"In this case, the federal government prohibited us from sharing any information," the company said in a statement. "Now that this method has become public we are updating our transparency reporting to detail these kinds of requests."

Wyden's letter cited a "tip" as the source of the information about the surveillance. His staff did not elaborate on the tip, but a source familiar with the matter confirmed that both foreign and U.S. government agencies have been asking Apple and Google for metadata related to push notifications to, for example, help tie anonymous users of messaging apps to specific Apple or Google accounts. The source declined to identify the foreign governments involved in making the requests but described them as democracies allied to the United States.

The logic of monopoly capital and imperialism as it operates in the global semiconductor business.
Some key takeaways:

"The great contradiction that they face is the fact that for every major chip firm, the Chinese semiconductor industry also constitutes a huge market, often a bigger customer than any other. Hence, Washington and the U.S. chip industry are caught between trying to limit the Chinese industry and maintaining trade relations."

And not surprisingly

"U.S. strategists have been earnestly arguing for a scorched earth policy in Taiwan, meaning that the United States should seriously consider destroying TSMC plants in case of a credible threat from China, in order to prevent the Chinese from wresting control over production"

Lol. Lmao.

In the funniest timeline, the US nationalizes Nvidia to delay China from making chips that work well with LLM's... by a year tops.

Link to original Fortune article the PC Gamer article pulled from, with this juicy relevant quote:

To do that, Raimondo said the Commerce Department’s Bureau of Industry and Security, which manages export controls for the US, needs more funding from Congress.

“I have a $200 million budget. That’s like the cost of a few fighter jets. Come on,” she said. “If we’re serious, let’s go fund this operation like it needs to be funded.”

https://www.thegrocer.co.uk/technology-and-supply-chain/delivery-robot-driver-gets-extra-training-after-trying-to-run-over-pedestrian/685869.article

Standard uBlock origin has been broken on twitch for a while. I've been using this script for a few days and it mostly works fine.

I did the "Applying a script to uBlock Origin" section. Rarely a video gets stuck buffering and I have to F5. Sometimes there is no embedded player for a stream and it just pauses on the last frame while the ad plays.

Definitely better than seeing an ad.

Before I've been using Twitch Ad Muter which just mutes the tab, but you still see it and sometimes the audio jump scared me because ads often start very loud and it doesn't always mute instantly. Also a bunch of ads that just start with flashing lights going from dark to white.