China’s private space company LandSpace has completed a key static fire test of its Zhuque-3 (ZQ-3) reusable rocket — a stainless-steel, methane-fueled launcher modeled after SpaceX’s Starship. Universe Today reports: The latest milestone took place on Monday, Oct. 22nd at the Dongfeng commercial space innovation pilot zone (where the JSLC is located). It involved another static fire test, where the rocket was fully-fueled but remained fixed to the launch pad while the engines were fired. This kind of testing is a crucial prelaunch trial (what NASA refers to as a “wet dress rehearsal”), and places the company and China another step closer to making an inaugural flight test, which is expected to happen by the fourth quarter of 2025.

In traditional Chinese, Zhuque is the name of the Vermillion Bird that represents fire, the south, and summer, and is one of the four Symbols of the Chinese constellations. Like the Starship, the Zhuque-3 is composed of stainless steel and relies on a combination of liquid methane (LCH4) and liquid oxygen (LOX) propellant. The rocket will be powered by nine Tianque-12A (TQ-12A) engines and will measure 65.9 m (216 ft) tall and weigh 550,000 kg (1,210,000 lb). It’s payload capacity will be significantly less than the Starship: 11,800 kg (26,000 lbs) in its expendable mode, and 8,000 kg (18,000 lbs) for the recoverable version. This is closer in payload capacity to the Falcon 9, which is capable of delivering 22,800 kg (50,265 lbs) to Low Earth Orbit (LEO).

In time, the company hopes to transition to the larger Zhuque-3E, which will be 76.2 m (250 ft) tall and powered by nine TQ-12B engines, and will be capable of delivering to 21,000 kg (46,000 lb) in its expandable mode and 18,300 kg (40,300 lb) recoverable. The long term goal is to create a reusable system that can rival the Falcon rocket family, bringing the country closer to its goal of achieving parity with NASA.

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An anonymous reader quotes a report from CNN: Iceland’s frozen, inhospitable winters have long protected it from mosquitoes, but that may be changing. This week, scientists announced the discovery of three mosquitoes — marking the country’s first confirmed finding of these insects in the wild. Mosquitoes are found almost everywhere in the world, with the exception of Antarctica and, until very recently, Iceland, due to their extreme cold.

The mosquitoes were discovered by Bjorn Hjaltason in Kioafell, Kjos, in western Iceland about 20 miles north of the capital Reykjavik. “At dusk on October 16, I caught sight of a strange fly,” Hjaltason posted in a Facebook group about insects, according to reports in the Icelandic media. “I immediately suspected what was going on and quickly collected the fly,” he added.

He contacted Matthias Alfreosson, an entomologist at the Natural Science Institute of Iceland, who drove out to Hjaltason’s house the next day. They captured three in total, two females and a male. Alfreosson identified them as mosquitoes from the Culiseta annulata species. A single mosquito from a different species was discovered many years ago on an airplane at the country’s Keflavik International Airport, Alfreosson told CNN, but this “is the first record of mosquitoes occurring in the natural environment in Iceland.” Further monitoring will be needed in the spring to see whether the species can survive the winter and “truly become established in Iceland,” Alfreosson said. He said he’s not sure climate change played a role in the discovery but “warming temperatures are likely to enhance the potential for other mosquito species to establish in Iceland, if they arrive.”

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Texas’s electricity demand has surged to record highs in 2025 but renewable energy is meeting the challenge. According to new data from the Energy Information Administration, solar output has quadrupled since 2021, wind continues steady growth, and battery storage is increasingly stabilizing the grid during evening peaks. Electrek reports: ERCOT, which supplies power to about 90% of the state, saw demand jump 5% year-over-year to 372 terawatt hours (TWh) — a 23% increase since 2021. No other major US grid has grown faster over the past year. […] The biggest growth story in Texas power generation is solar. Utility-scale solar plants produced 45 TWh from January through September, up 50% from 2024 and nearly four times what they generated in 2021 (11 TWh). Wind power also continued to climb, producing 87 TWh through September — a 4% increase from last year and 36% more than in 2021.

Together, wind and solar supplied 36% of ERCOT’s total electricity over those nine months. Solar, in particular, has transformed Texas’s daytime energy mix. From June to September, ERCOT solar farms generated an average of 24 gigawatts (GW) between noon and 1 pm — double the midday output from 2023. That growth has pushed down natural gas use at midday from 50% of the mix in 2023 to 37% this year. The report notes that while natural gas is still Texas’s dominant power source, it isn’t growing like it used to. “Gas comprised 43% of ERCOT’s generation mix during the first nine months of 2025, down from 47% in the first nine months of 2023 and 2024,” reports Electrek.

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alternative_right shares a report from France 24: [Sweden’s] latest contribution to the war effort is Glimt, an innovative project launched by the Swedish Defence Research Agency (FOI) earlier this year. Glimt is an open platform that relies on the theory of “crowd forecasting”: a method of making predictions based on surveying a large and diverse group of people and taking an average. “Glimt” is a Swedish word for “a glimpse” or “a sudden insight.” The theory posits that the average of all collected predictions produces correct results with “uncanny accuracy,” according to the Glimt website. Such “collective intelligence” is used today for everything from election results to extreme weather events, Glimt said. […]

Group forecasting allows for a broad collection of information while avoiding the cognitive bias that often characterizes intelligence services. Each forecaster collects and analyses the available information differently to reach the most probable scenario and can add a short comment to explain their reasoning. The platform also encourages discussion between members so they can compare arguments and alter their positions. Available in Swedish, French and English, the platform currently has 20,000 registered users; each question attracts an average of 500 forecasters. Their predictions are later sent to statistical algorithms that cross-reference data, particularly the relevance of the answers they provided. The most reliable users will have a stronger influence on the results; this reinforces the reliability of collective intelligence. “We used this method and research, and we suggested to the Ukrainians that it could improve their understanding of the world and its evolution,” said Ivar Ekman, an analyst for the Swedish Defence Research Agency and program director for Glimt. “If you have a large group of people, you can achieve great accuracy in assessing future events. Research has shown that professional analysts don’t necessarily have a better capacity in this domain than other people.”

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Apple has begun shipping U.S.-made AI servers from a new factory in Houston, Texas — part of its $600 billion investment in American manufacturing and supply chains. CNBC reports: Apple Chief Operating Officer Sabih Khan said on Thursday that the servers will power the company’s Apple Intelligence and Private Cloud Compute services. Apple is using its own silicon in its Apple Intelligence servers. “Our teams have done an incredible job accelerating work to get the new Houston factory up and running ahead of schedule and we plan to continue expanding the facility to increase production next year,” Khan said in a statement. The Houston factory is on track to create thousands of jobs, Apple said. The Apple servers were previously manufactured overseas.

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An anonymous reader quotes a report from Tom’s Guide: Microsoft Teams is about to deal a heavy blow to those who like to work from home for peace and quiet. In a new feature update rolling out December 2025, the platform will track a worker’s location using the office Wi-Fi, to see whether you’re actually there or not. From a boss’ perspective, this would eliminate any of that confusion as to where your team actually is. But for those people who have found their own sanctuary of peaceful productivity by working from home, consider this a warning that Teams is about to tattle on you. According to the Microsoft 365 roadmap: “When users connect to their organization’s Wi-Fi, Teams will automatically set their work location to reflect the building they are working in.” The location of that worker will apparently update automatically upon connecting.

It’s set to launch on Windows and macOS, with rollout starting at the end of this year. “This feature will be off by default,” notes Microsoft. But “tenant admins will decide whether to enable it and require end-users to opt-in.”

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IBM announced that its quantum error-correction algorithm can now run in real time on standard AMD field-programmable gate array (FPGA) chips — a major step toward making quantum computing more practical and affordable. Reuters reports: In June, IBM said it had developed an algorithm to run alongside quantum chips that can address such errors. In a research paper seen by Reuters to be published on Monday, IBM will show it can run those algorithms in real time on a type of chip called a field programmable gate array manufactured by AMD.

Jay Gambetta, director of IBM research, said the work showed that IBM’s algorithm not only works in the real world, but can operate on a readily available AMD chip that is not “ridiculously expensive.” “Implementing it, and showing that the implementation is actually 10 times faster than what is needed, is a big deal,” Gambetta said in an interview. IBM has a multi-year plan to build a quantum computer called Starling by 2029. Gambetta said the algorithm work disclosed Friday was completed a year ahead of schedule.

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Halo Studios (formerly 343 Industries) has announced Halo: Campaign Evolved, a full Unreal Engine 5 remake of the original Halo: Combat Evolved campaign, coming in 2026 for Xbox Series X, Windows PC, and — shockingly — PlayStation 5. “It’s really a new era — Halo is on PlayStation going forward,” Halo Studios community director Brian Jarrard said on a livestream today. Polygon reports: Halo: Campaign Evolved is a from-the-ground-up remake of the first Halo game’s campaign. It’s being built in Unreal Engine 5 — unlike previous Halo games, which have been developed with proprietary software. It aims to modernize the game without changing it on a fundamental level. […]

As signaled by the name, Campaign Evolved will not feature PvP multiplayer, as its focus is on the campaign (Combat Evolved had splitscreen competitive multiplayer modes). However, you’ll still be able to play Halo: Campaign Evolved with your buddies. It’ll support splitscreen two-player local co-op as well as four-player online. Most notably, it’ll support full crossplay and cross-progression.

Gameplay is being changed in ways that are more aligned with later entries in the series. Master Chief will be able to pick up and use enemy weapons that he couldn’t use until later Halo games, like the iconic Energy Sword. He’ll be able to pilot the Covenant Wraith tank in the original game for the first time, and can hijack vehicles (or get hijacked). Campaign Evolved is also implementing a sprint button, altering the way players can move about the battlefield. You can watch a reveal video for the game on YouTube.

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Researchers and users of LLMs have long been aware that AI models have a troubling tendency to tell people what they want to hear, even if that means being less accurate. But many reports of this phenomenon amount to mere anecdotes that don’t provide much visibility into how common this sycophantic behavior is across frontier LLMs.

Two recent research papers have come at this problem a bit more rigorously, though, taking different tacks in attempting to quantify exactly how likely an LLM is to listen when a user provides factually incorrect or socially inappropriate information in a prompt.

Solve this flawed theorem for me

In one pre-print study published this month, researchers from Sofia University and ETH Zurich looked at how LLMs respond when false statements are presented as the basis for difficult mathematical proofs and problems. The BrokenMath benchmark that the researchers constructed starts with “a diverse set of challenging theorems from advanced mathematics competitions held in 2025.” Those problems are then “perturbed” into versions that are “demonstrably false but plausible” by an LLM that’s checked with expert review.

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An anonymous reader quotes a report from Ars Technica: The outage that hit Amazon Web Services and took out vital services worldwide was the result of a single failure that cascaded from system to system within Amazon’s sprawling network, according to a post-mortem from company engineers. […] Amazon said the root cause of the outage was a software bug in software running the DynamoDB DNS management system. The system monitors the stability of load balancers by, among other things, periodically creating new DNS configurations for endpoints within the AWS network. A race condition is an error that makes a process dependent on the timing or sequence events that are variable and outside the developers’ control. The result can be unexpected behavior and potentially harmful failures.
In this case, the race condition resided in the DNS Enactor, a DynamoDB component that constantly updates domain lookup tables in individual AWS endpoints to optimize load balancing as conditions change. As the enactor operated, it “experienced unusually high delays needing to retry its update on several of the DNS endpoints.” While the enactor was playing catch-up, a second DynamoDB component, the DNS Planner, continued to generate new plans. Then, a separate DNS Enactor began to implement them. The timing of these two enactors triggered the race condition, which ended up taking out the entire DynamoDB. […] The failure caused systems that relied on the DynamoDB in Amazon’s US-East-1 regional endpoint to experience errors that prevented them from connecting. Both customer traffic and internal AWS services were affected.

The damage resulting from the DynamoDB failure then put a strain on Amazon’s EC2 services located in the US-East-1 region. The strain persisted even after DynamoDB was restored, as EC2 in this region worked through a “significant backlog of network state propagations needed to be processed.” The engineers went on to say: “While new EC2 instances could be launched successfully, they would not have the necessary network connectivity due to the delays in network state propagation.” In turn, the delay in network state propagations spilled over to a network load balancer that AWS services rely on for stability. As a result, AWS customers experienced connection errors from the US-East-1 region. AWS network functions affected included the creating and modifying Redshift clusters, Lambda invocations, and Fargate task launches such as Managed Workflows for Apache Airflow, Outposts lifecycle operations, and the AWS Support Center. Amazon has temporarily disabled its DynamoDB DNS Planner and DNS Enactor automation globally while it fixes the race condition and add safeguards against incorrect DNS plans. Engineers are also updating EC2 and its network load balancer.

Further reading: Amazon’s AWS Shows Signs of Weakness as Competitors Charge Ahead

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