Can anyone tell me if "emenger" is safe to use? It's making the rounds as a way to contact loved ones in Iran.

It doesn't require personal info to sign up, but I think the messages are completely open to whoever is providing the service.

There are a few sussy things here, like the Icelandic domain name service.

But the non-Iranian servers are in Georgia. They then bridge the gap over to Iran.

What can we glean from this? US network graph operation?

Parsed domain name: emenger.net Domain name extension: .net Estimated domain age: 55 day(s) Contact email: 09d1bdcd071549a09679c33c537a0897.protect@withheldforprivacy.com Created date: January 30, 2026 16:51:59 UTC Updated date: December 31, 0001 23:59:52 UTC Expires date: January 30, 2027 16:51:59 UTC Registrar name: NAMECHEAP INC Registrar Internet Assigned Numbers Authority ID: 1068 Domain EPP status codes by ICANN list: clientTransferProhibited addPeriod Domain's registrant Name: Redacted for Privacy Organization: Privacy service provided by Withheld for Privacy ehf Street: Kalkofnsvegur 2 City: Reykjavik State: Capital Region Postal Code: 101 Country: ICELAND Country code: IS Email: 09d1bdcd071549a09679c33c537a0897.protect@withheldforprivacy.com Telephone: 3544212434

Energy shocks like the one currently affecting the global economy used to reinforce fossil fuels. Not anymore. This isn’t a temporary shift. It’s a system replacement.

In this interview, Ember Energy’s Daan Walter explains why the shift from combustion to electrification is structural—not cyclical—and why every crisis, from the COVID-19 pandemic to Russia’s invasion of Ukraine and today’s geopolitical tensions, is accelerating that transition.

We explore how electric technologies like EVs, heat pumps, and renewables are becoming the default response to energy insecurity, why efficiency and economics are driving permanent change, and how global competition—especially with China—is reshaping the energy system.

BAIC has just revealed a sodium-ion battery with an energy density of around 170 Wh/kg — and that’s starting to get uncomfortably close to lithium-based batteries like LFP.

For a long time, sodium was seen as the cheaper, lower-performance alternative. But now we’re seeing real progress. Higher energy density, better cold-weather performance, and potentially much lower cost.

So what does this actually mean in the real world?

Ignoring the anti-GPL nature of Rust rewrites, it seems that it has been foolish to roll out rust-coreutils wholesale instead of perhaps an option to be selected while installing from the live image, which would almost certainly have lead to enthusiasts testing these utilities; and after enough data had been collected could then have been put in the main branch.

This bug report is old so it should have been fixed by now, but I wanted to commentate on rust-coreutils.

Hopefully a sign the bubble is bursting

cross-posted from: https://hexbear.net/post/8058924

https://www.reddit.com/r/NewsWithJingjing/comments/1s3ffye/china_unveils_atlas_drone_swarm_operations_system/

cross-posted from: https://lemmygrad.ml/post/11141812

A report by official Chinese media on Wednesday unveiled two new types of anti-drone laser weapons. A developer said such laser weapon systems, supported by intelligent targeting and multi-sensor integration, demonstrate strong responsiveness and adaptability, while enabling coordinated operations within an integrated combat network.

Footage released in the CCTV News report showed how the systems countered low-altitude, slow-flying small drones simulating covert penetration on the battlefield, flying at an altitude of 50 to 80 meters, which is within the blind spot of conventional radar systems.

More advanced threats such as fiber-optic drones, capable of transmitting real-time data and video through physical links and thus resistant to electronic interference, pose additional challenges and often require physical destruction, according to the CCTV News report.

In response to such threats, multiple counter-drone systems were featured. A container-like platform identified as the “Guangjian-11E,” or Light Arrow-11E, multi-mode terminal jamming system can rapidly lock onto targets and disrupt their onboard sensing and targeting functions, the report said.

The “Guangjian-21A”, or Light Arrow-21A, system, meanwhile, operates in a “shoot-on-the-move” mode, allowing it to maintain sustained firepower while reducing exposure to counterattacks, reported CCTV News.

In terms of engagement methods, the “Guangjian-21A” specializes in “hard-kill” capabilities, generating high-density energy beams over several kilometers to penetrate drone structures and destroy internal circuits or propulsion systems within seconds. By contrast, the “Guangjian-11E” employs a soft-kill approach, using pulsed laser energy to precisely disable key components, effectively blinding drones and disrupting their reconnaissance and data transmission functions, reported CCTV News.

These complementary “soft” and “hard” kill methods address targets at different ranges and threat levels, filling gaps in each other’s operational coverage, CCTV News said.

Both systems are equipped with phased-array radar and infrared detection systems, and can interconnect via both wired and wireless links to enable real-time data sharing and precise target identification and engagement, according to the CCTV News report.

The laser systems, as next-generation equipment, feature multi-source detection and intelligent identification, enabling rapid response and adaptive targeting. Integrated into a broader combat system, the platforms can coordinate “soft” and “hard” kill methods and link with radar and electro-optical sensors to form a rapid “detect-to-destroy” chain, Zhou Shuiliang from the Aviation Industry Corporation of China was quoted by the CCTV as saying.

Previously, multiple types of anti-drone equipment were reviewed in formations at China's V-Day military parade on September 3, 2025 to mark the 80th anniversary of the victory in the Chinese People's War of Resistance Against Japanese Aggression and the World Anti-Fascist War, addressing the importance of anti-drone warfare on the modern battlefield.

Anti-drone missile and artillery systems, high-energy laser weapons, and high-power microwave weapons reviewed at the parade are a powerful "iron triangle" that can both "soft kill" and "hard destroy" unmanned aerial vehicles.

Given the widespread deployment of drones on the battlefield, countries are now prioritizing the development of efficient counter-drone systems and platforms, Wang Yunfei, a Chinese military affairs expert, told the Global Times.

The inclusion of high-energy laser and high-power microwave counter-drone systems in the parade indicates that both have demonstrated strong performance in realistic training, and suggests that China’s laser- and microwave-based counter-drone technologies are at the forefront globally.

Zhang Xuefeng, another Chinese military affairs expert, told the Global Times that high-energy laser weapons can quickly and accurately detect, aim, and track targets. Using high-energy lasers, it only takes a few seconds to shoot a drone down.

"This genre of anti-drone systems has high accuracy, minimal collateral damage, the advantage of unlimited ammunition, and very low operating costs, making it the lowest cost anti-drone equipment in a single deployment," Zhang said.

TurboQuant looks like a pretty massive deal for running local models efficiently. The core issue they are tackling is the memory bottleneck caused by the key value cache during generation. When you are doing long context inference storing all those high dimensional vectors eats up VRAM extremely fast. Traditional vector quantization helps but usually introduces memory overhead because you have to store scaling factors or constants in full precision for every small block of data. That overhead can easily add an extra bit or two per parameter which ruins the compression targets people are aiming for.

TurboQuant solves the problem by combining two clever mathematical tricks to eliminate that overhead entirely and get the cache down to 3 bits without losing accuracy. The first part is an algorithm called PolarQuant. Instead of looking at the vectors in standard cartesian coordinates it converts them into polar coordinates. This basically separates the magnitude from the direction. Because the angles map onto a fixed predictable circular grid the model no longer needs to store those dynamic bounding boxes or normalization constants that traditional methods require. That step handles the bulk of the compression to capture the main signal of the vector.

The second piece of the puzzle is where they use something called Quantized Johnson Lindenstrauss or QJL to clean up the residual error left over from the first step. QJL uses a mathematical transform to shrink that leftover error down to just a single sign bit of positive or negative one while preserving the relative distances between the data points. This acts as a mathematical error checker that fixes any bias in the attention scores. Because it only uses one bit and preserves the geometry of the space the attention mechanism can still calculate accurate logits without needing full precision data.

They tested this on open weights models like Gemma and Mistral across heavy needle in a haystack and LongBench tasks. They managed to compress the KV cache down to 3 bits with literally zero drop in accuracy and they did not even need to do any fine tuning or calibration. On top of saving a massive amount of VRAM the 4 bit version actually speeds up attention logit computation by up to 8x on H100 GPUs compared to standard 32 bit floats. This seems like a massive leap forward for anyone trying to run long context models on constrained hardware or scale up huge vector search databases.

Naturally I expect it to still be used as propaganda generation since it will likely be government-only tech now.

But also, lol, lmao even. Get fucked. Hope you like the