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World Economy Mar 19, 2026

Scientists Discover Molecule That Could Lead to New Obesity Drugs

Researchers have identified a molecule in python blood that could pave the way for new obesity drug…
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.
#obesity #pythons #molecule
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Tech Mar 18, 2026

Apple's First 'Background Security' Update: A New Paradigm in Patch Management

Apple has introduced a new 'background security improvement' update mechanism to patch a critical W…
The WebKit Vulnerability and the New Patching MechanismApple has officially rolled out its first 'background security improvement' update, marking a significant evolution in its software maintenance strategy. This latest release targets a critical vulnerability discovered in WebKit, the browser engine that powers Safari across iPhones, iPads, and Macs.The advisory reveals that the bug, if exploited, could allow a malicious website to potentially access data from another website within the same browser session. To mitigate this risk, Apple introduced a new category of updates designed to be 'lightweight' and pushed between major software releases.Target Version: iOS, iPadOS, and macOS 26.1 and higher.Scope: Fixes for Safari, WebKit, and system libraries.Deployment: Background updates without requiring a full system reinstall.Efficiency in Security Response: The 'Quick Reboot' AdvantageOne of the most notable aspects of this update is the user experience. Unlike traditional major updates that often require lengthy reboots, this background security improvement only necessitates a quick device restart. This suggests a streamlined deployment process that minimizes user friction while maximizing security coverage.Apple has been testing this feature with software testers prior to the public release, indicating a deliberate effort to refine the mechanism before a wider rollout. The decision to withhold a specific reason for the patch from the public advisory highlights the sensitive nature of the vulnerability.Redefining the Security Patching LifecycleThe introduction of this update model fundamentally changes how Apple addresses the threat landscape. By decoupling critical security fixes from major feature updates, Apple can respond to zero-day threats and active exploits much faster.This approach reduces the 'window of exposure' for users, ensuring that security patches are applied as soon as they are available, rather than waiting for the next annual or bi-annual major OS release cycle.The Future of Continuous SecurityAs this is the inaugural release of the background security improvement program, it sets a precedent for future updates. We can expect to see a shift toward a more continuous security model, where minor but critical patches are pushed regularly to keep devices secure against evolving cyber threats.
#Apple #Safari #WebKit
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Tech Mar 17, 2026

Apple's March 2026 Lineup: The M5 Era and the AI-First Shift

Apple has launched a massive March lineup, shifting focus heavily toward AI capabilities with the n…
Apple has unveiled a comprehensive hardware refresh this month, signaling a definitive shift toward on-device artificial intelligence with the introduction of the M5 chip family, while simultaneously broadening its accessibility with the budget-friendly MacBook Neo and iPhone 17e. The March 2026 Hardware Ecosystem Refresh The tech giant kicked off the month with the iPhone 17e and the M4 iPad Air on March 2. A day later, Apple announced the M5 MacBook Air, updated MacBook Pro models, and the new M5 Pro and M5 Max chips, along with the Studio Display and Studio Display XDR. On March 4, a surprise entry was revealed: the MacBook Neo, a low-cost laptop running on an A18 Pro chip. Finally, a week later, Apple dropped the AirPods Max 2, the long-awaited successor to its premium headphones. Performance Metrics and Pricing Strategy The new iPhone 17e is positioned as a budget-friendly option, retailing for $599 and featuring the A19 chip and the new C1X modem, which Apple claims is 30% more energy-efficient than the modem in the iPhone 16 Pro. The M4 iPad Air offers a significant performance jump, with the 11-inch model still priced at $599. The MacBook Pro with M5 Pro and M5 Max chips delivers up to 4x faster LLM prompt processing and 8x faster AI image generation compared to previous generations. MacBook Pro Battery Life: Up to 24 hours of battery life. MacBook Air Battery Life: Improved to 18 hours. MacBook Neo Pricing: Starts at $599 for 256GB storage. Storage Upgrades: MacBook Air now starts with 512GB storage. The Strategic Pivot to On-Device AI The core of this launch is the new Fusion Architecture found in the M5 chips, which integrates a powerful CPU, scalable GPU, and a Neural Engine designed specifically for AI workloads. The MacBook Neo represents a strategic divergence, utilizing the A18 Pro chip to target students and casual users, effectively positioning it as a direct competitor to Google's Chromebook ecosystem. Notably, the MacBook Neo has been praised by iFixit as the most repairable MacBook in over fourteen years. Market Implications and Future Outlook Apple is clearly betting that AI processing power will be the primary driver of hardware sales in the coming years. By embedding advanced AI capabilities into both high-end Pro machines and budget devices, the company is attempting to create a seamless AI experience across its entire product line. The introduction of the MacBook Neo suggests a strategy to capture the education market by offering a macOS experience at a Chromebook price point, potentially disrupting the low-end laptop market.
#Apple #M5 Chip #MacBook Pro
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Tech Mar 16, 2026

Apple's MacBook Neo: A Return to Repairability?

Apple's new MacBook Neo has been lauded by iFixit as the most repairable MacBook in roughly fourtee…
The iFixit Teardown BreakthroughApple's latest offering, the MacBook Neo, is generating significant buzz not for its raw power, but for its design philosophy. According to a comprehensive teardown by the repair advocacy website iFixit, the Neo is the most repairable MacBook in approximately fourteen years. This marks a pivotal shift from the company's previous strategy of using adhesives to secure internal components.Battery Innovation: The most significant technical breakthrough is the battery installation method. Unlike previous models where batteries were glued into place, the Neo's battery is held by a tray secured with 18 screws.Community Reaction: iFixit noted that this 'screws still beat adhesive' approach 'sent cheers across the iFixit office,' highlighting the repair community's enthusiasm for user autonomy.Component Accessibility: The device features a flat disassembly tree, making it easier to replace the display and keyboard compared to previous iterations.The 6/10 Score and Technical ImplicationsDespite these improvements, the MacBook Neo received a repairability score of 6 out of 10. While iFixit described this as a 'strong score' for a MacBook, it confirms that the device is not fully repairable.Remaining Limitations: The device still utilizes soldered RAM and storage, preventing users from upgrading these components after purchase.Strategic Layout: iFixit praised the internal layout as 'unusually sensible,' noting that parts that typically fail first—such as the battery and ports—are now modular and easier to reach.Repair Assistant: The system's Repair Assistant appears to be more accepting of replacement parts, reducing friction for authorized repairs.Reversing the 2012 Glue StrategyThe Neo's design represents a stark reversal of Apple's 2012 strategy. When Apple introduced the Retina Display MacBook Pro, it moved aggressively toward centralized repair, removing DIY accessibility and gluing down critical components like memory and batteries. That model received a 1 out of 10 score from iFixit.This new approach suggests Apple is responding to the 'Right to Repair' movement and state legislation, such as laws in Oregon, which have pressured the company to lift restrictions on repairing devices using older parts.The Future of Right to RepairThe MacBook Neo serves as a proof-of-concept that repairability can be integrated into high-end consumer hardware without sacrificing build quality. As the electronics industry faces increasing scrutiny over e-waste and planned obsolescence, this design pivot could signal a broader industry trend toward modular and serviceable devices.
#Apple #MacBook Neo #iFixit
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Technology Mar 16, 2026

Scientists Teach Human Brain Cells to Play Doom: A Leap in Biological Computing

Scientists have successfully taught a petri dish of 200,000 human brain cells to play the iconic vi…
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.
#brain #fly #neurons
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