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Scientists have made a groundbreaking discovery that could lead to the development of new obesity drugs. By studying the unique metabolic abilities of pythons, researchers have identified a molecule that appears to play a crucial role in regulating appetite and weight loss. The molecule, called pTOS, was found to increase significantly in the blood of pythons after they eat, and when administered to obese mice, it led to a significant reduction in food intake and a 9% loss of body weight over 28 days. The discovery could lead to the development of new obesity drugs that work in a different way to existing medications, such as GLP-1 medications like Wegovy. Unlike these medications, which can have side effects such as nausea and stomach pain, pTOS appears to act on the brain's appetite centers, reducing food intake without these adverse effects. The researchers, led by Dr. Jonathan Long from Stanford University and Prof. Leslie Leinwand from the University of Colorado Boulder, published their findings in the journal Nature Metabolism. They believe that pTOS, which is naturally produced by the snake's gut bacteria and also found in human urine, could be a safe and effective treatment for obesity. While further research is needed before the findings can be applied clinically, the discovery is seen as a promising step towards the development of new obesity treatments. The study's results suggest that pTOS could be a potential therapeutic target for the treatment of obesity and related metabolic disorders.

Rapid‑Action Spyware: The Darksword Campaign UnveiledResearchers at Google, iVerify and Lookout traced a fresh wave of iPhone attacks against Ukrainian users to a toolkit they named Darksword. The tool, linked to the threat actor UNC6353, infiltrates devices via compromised Ukrainian websites, siphons passwords, photos, messaging app data and wallet credentials, then vanishes within minutes.Technical Footprint and Quick‑Turnover MetricsInfection vector: malicious scripts on Ukrainian‑hosted sites, active only for visitors inside Ukraine.Data exfiltration window: minutes of dwell time, depending on volume of harvested information.Capabilities: extraction of WhatsApp, Telegram, SMS, browser history, and cryptocurrency wallet keys.Design: modular architecture allowing rapid addition of new functions, mirroring the earlier Coruna toolkit.Geopolitical and Security ImplicationsThe Darksword operation underscores a growing trend of state‑aligned actors deploying highly specialized mobile spyware for short‑term, high‑value “smash‑and‑grab” missions. While the campaign was geographically limited to Ukraine, its sophistication suggests that similar tools could be repurposed for broader espionage or financial theft, raising concerns for iPhone users worldwide and prompting a reassessment of mobile threat models.Future Outlook: Modular Spyware on the RiseAnalysts predict that the success of Darksword will encourage further development of modular iPhone exploits that prioritize rapid data theft over persistent surveillance. Defensive measures will likely focus on hardening web‑delivery chains, improving app‑store vetting, and enhancing on‑device anomaly detection to counter fleeting, high‑impact attacks.

Surprise Launch Signals Apple’s Push into Premium AudioIn a low‑key event on Monday, March 16, 2026, Apple announced the AirPods Max 2, the first major refresh of its flagship over‑ear headphones since their 2020 debut. The announcement came without a pre‑launch leak, underscoring Apple’s intent to control the narrative around its high‑margin audio products.AirPods Max 2 Specs and New FeaturesActive Noise Cancellation: Up to 1.5× more effective than the original model.Adaptive Audio: Real‑time adjustment of ANC and Transparency based on ambient sound.Transparency Mode: New DSP algorithm for a more natural listening experience.Live Translation: In‑person language translation powered by on‑device processing.Voice Isolation: Advanced computational audio that prioritises the speaker’s voice during calls.High‑Dynamic‑Range Amplifier: Cleaner audio with improved bass, mids, and highs.Spatial Audio: Enhanced instrument localization and richer soundstage.Camera Remote: Digital Crown triggers iPhone/iPad camera shutter.Loud Sound Reduction: Protects ears from sudden loud noises while preserving audio fidelity.24‑bit/48 kHz Lossless Support: Via included USB‑C cable.Pricing and Availability: What the Numbers RevealThe AirPods Max 2 launch at $549, matching the price of the original Max. Pre‑orders begin on March 25, with shipments slated for early April. The headset will ship in six colors—midnight, starlight, orange, purple, blue, and the classic silver—and will be sold in more than 30 countries and regions.Pre‑order start: March 25, 2026First shipments: Early April 2026Price parity with 2020 model despite added hardware and software.Implications for the High‑End Headphone MarketBy keeping the price steady while delivering a richer feature set, Apple is positioning the Max 2 as a premium alternative to competitors such as Bose QuietComfort 45 and Sony WH‑1000XM5. The integration of live translation and camera remote functions deepens the synergy between Apple’s hardware ecosystem and its services, potentially increasing the lock‑in effect for iPhone and iPad users.Analysts note that the unchanged price point may boost margin growth, as the H2 chip and software improvements are largely cost‑neutral at scale. The broader color palette and expanded regional rollout also aim to capture fashion‑forward consumers in emerging markets.What’s Next for Apple’s Audio EcosystemLooking ahead, Apple is likely to leverage the Max 2’s H2 chip to roll out additional AI‑driven audio features, such as real‑time acoustic scene classification for AR experiences. The company may also explore subscription‑based audio services that tie directly into the headset’s spatial and translation capabilities.Industry watchers expect a next‑generation “AirPods Max 3” within 18‑24 months, potentially introducing bone‑conduction sensors and deeper health‑monitoring functions, further blurring the line between consumer audio and personal wellness.

Researchers at Cortical Labs in Melbourne have created a 'biological computer' using living human tissue, which can play the 1993 shooter game Doom. The team used 10ml of blood from CEO Hon Weng Chong to harvest 100 white blood cells, which were then reprogrammed into induced pluripotent stem cells (iPSCs). These cells were used to create a dish of 200,000 neurons that can interface with a computer system.The brain cells were taught to play Doom by encoding game state information, passing it through a neural network, and converting it into signals the neurons can understand. The neurons then fire an output, which the system decodes and converts back into actions in the game. This process is similar to how humans operate, with information going into the retina, being converted into electrical signals, processed in the brain, and resulting in an output.While the achievement has sparked concerns about sentience and consciousness, Chong believes the brain cells are not conscious, stating, 'At first it didn’t know how to move, aim or shoot. Then it would shoot two enemies and stop. So it’s definitely learning.' The next step could be integrating this technology with Neuralink, a brain-machine interface developed by Elon Musk.The application of biological computing lies not in gaming, but in medicine, such as disease modeling for conditions like epilepsy. This technology could allow for personalized drug testing and tailored treatments. Meanwhile, Eon Systems in San Francisco has created a virtual insect brain that can behave like a real fly, challenging the assumption that intelligence must be acquired.Biological systems like these could eventually power robots, drones, and other machines that need to navigate complex environments. As Chong notes, 'Abstract reasoning, mathematics and language are relatively recent in evolutionary terms... but motor control and probabilistic decision-making are things we’ve inherited through millions of years of evolution.' While we're far from uploading human consciousness into the internet, this technology marks a significant step in the development of biological computing.