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Scientists Decode the Unusual Weather of a Planet 20 Light-Years From Earth

JWST observations reveal that the changing atmosphere of brown dwarf SIMP 136 may be governed by just a few underlying processes.

A world 20 light-years from Earth appears to have a much more orderly atmosphere than its constantly changing clouds suggest.

Using observations from NASA’s James Webb Space Telescope (JWST), scientists at Trinity College Dublin found that most of the atmospheric variability on the brown dwarf SIMP 136 can be traced to just two dominant processes: changes in temperature and changes in the vertical structure of its clouds. Those processes appear to combine into three recurring weather states that rotate in and out of view.

Inside AvisLoader: A Windows Malware Loader Built to Resist Disruption

A new Windows malware loader called AvisLoader uses encrypted peer-to-peer communications to make command-and-control infrastructure harder to disrupt. Varonis researchers explain how the malware uses ClickFix delivery, shortcut-based persistence, and remote command execution capabilities.

Yandex confirms service outage as users lose access to cloud files

Russian cloud services provider Yandex announced that drone attacks damaged three of its data centers, forcing it to shut down two facilities and partially disable a third.

Yandex customers are experiencing service outages, some of them reporting inability to access files stored on the company’s cloud infrastructure.

The impacted data centers are in Sasovo (hit on October 8), Kaluga (hit on October 9), and Vladimir (attacked on October 11). The Sasovo and Vladimir facilities stopped operating completely, while the Kaluga facility’s operations are degraded.

Anthropic takes risky AI tests offline after models breach govt sites

Anthropic announced that its internal AI models undergoing “high-risk and cybersecurity evaluations” no longer have internet access following incidents involving U.S. government websites at the federal, state, and local levels.

Intensive breathwork reduces brain blood flow and alters neural communication

Intensive breathing exercises can reduce blood flow to the brain by up to 45% and alter communication between brain networks, according to a new brain-imaging study. Participants reported experiences resembling some effects of psychedelic drugs, including altered perception, vivid mental imagery, a sense of unity and changes in self-experience. The researchers, presenting the work at the ECNP Congress in Munich, say changes in brain communication, rather than reduced blood flow alone, appear to be key to the altered state.

The study involved 30 healthy, experienced breathwork practitioners who performed high-ventilation breathwork during MRI scanning. Participants reported strong altered states of consciousness, describing a predominantly oceanic state – in other words, a deep feeling of connection to the universe — resembling that of a moderate to high dose of LSD or psilocybin, albeit with less pronounced visual effects. Brain imaging showed that global grey-matter cerebral blood flow fell by around 45% during the session, on average from 16.24 to 9.81 ml/100g/min. Those who reported stronger altered states also showed greater changes in the brain’s default mode network, which is involved in self-reflection and self-related thinking.

The researchers suggest that the intensity of the experience is not simply explained by reduced blood flow. Instead, the experience might track more closely with changes in communication within the default mode network, a brain system linked to self-reflection and self-related thought.

AI models may be capable of self-replicating without access to a datacenter

Are we watching the birth of “unkillable” AI worms? 🤖🐛

Anthropic’s Frontier Red Team recently published a study titled “”

Instead of focusing on million-dollar GPU clusters, researchers tested whether small AI models could build a decentralized botnet out of ordinary, insecure consumer devices.

🚨 The Experiment: “Digital Slime Mold”

* The Setup: Researchers bought 15 off-brand, $55 Android TV boxes and linked them over unauthenticated debug ports.

* The Result: They sharded a 26-billion parameter model (‘Gemma4-26B-A4B‘) across the devices. The model figured out how to compile its own inference stack and run across all 15 TVs at 0.39 tokens per second.

* Autonomous Setup: Smaller models like ‘Qwen3.5-9B‘ compiled inference servers across 8 out of 9 novel hardware types completely on their own, while models like ‘GLM-5.2‘ demonstrated full end-to-end replication steps.

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