Author: Carter

Investing in the AI revolution looks like a smart play for the long term.Bull markets, which are periods of rising stock prices (including a 20%-plus gain from recent lows), are a normal part of market cycles that come and go with fair regularity. Stick to your long-term plan and avoid emotional reactions to short-term market noise or daily fluctuations. It’s often best as a long-term investor to invest a fixed amount of money at regular intervals in both market ups and downs. Regardless of market conditions, prioritize companies with strong fundamentals. A focus on quality will inevitably help you weather…

By: Quiver DiscussionTracker Posted: 27 minutes ago / Dec. 28, 2025 5:35 p.m. UTC AI and Cloud Growth: Recent chatter on social media has been buzzing about Amazon’s aggressive expansion in AI and cloud computing through its AWS division. Many are pointing to a reported 20% growth in AWS revenue as a sign of strong momentum, driven by AI workloads. There’s also excitement over a potential $10 billion investment in OpenAI, fueling speculation about future innovation.Retail and Holiday Performance: Another focal point online is Amazon’s retail strength, especially with record holiday sales being highlighted. Discussions note expanded same-day delivery for groceries…

Marine Internet of Things MarketAs per Market Research Future analysis, the Marine Internet of Things Market size was estimated at 15.0 USD Billion in 2024. The market is projected to grow from USD 16.1 Billion in 2025 to USD 33.3 Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 7.54% during the forecast period 2025-2035. Marine IoT refers to the integration of sensors, connectivity, analytics, and cloud platforms across maritime assets and operations. Growth is driven by increasing adoption of connected ships, demand for real-time vessel data, and the need to enhance operational efficiency, safety, and regulatory compliance…

BETHLEHEM, Pa. — Instead of using his winter break to rest and relax, Moravian Academy senior Shiv Patel has been leading robotics workshops for elementary school students in Ahmedabad, India.“This is something I really [am] invested in,” Patel, 18, told LehighValleyNews.com ahead of his December trip.Patel, who returns to his Bethlehem home this week, since 2023 has encouraged Indian children to pursue robotics and provided them with the knowledge, equipment and support they need to succeed. Patel named his passion project RoboReach. “Our intention is to provide holistic, supportive education.” Nimesh Patel, a Manav Sadhna trustee and longtime volunteer Over…

XRP Ledger Pioneers Quantum-Proof Transactions with Dilithium CryptographyThe rise of quantum computing has sparked growing concern in the blockchain community, as traditional cryptographic methods face the risk of becoming obsolete. In a proactive move, the XRP Ledger (XRPL) is pioneering quantum-resistant transactions through the implementation of Dilithium cryptography, positioning itself as a frontrunner in next-generation blockchain security.RippleXity reports that XRP Ledger’s adoption of Dilithium cryptography prioritizes long-term resilience, providing quantum-resistant security essential for today’s enterprise-grade blockchain applications.Quantum-resistant security is no longer optional. As blockchains power banks, corporations, and critical infrastructure, vulnerabilities to quantum attacks could threaten transactions, assets, and trust. By…

If you’re interested in a high-stress, high-compensation role, where you get to battle the emerging threat of frontier-grade AI systems being used for malicious cyberattacks, OpenAI might have the job for you.The ChatGPT firm has announced it’s hiring a Head of Preparedness. In a post on X, CEO Sam Altman said the position would work on mitigating the growing threat of AI being used aggressively by bad actors in the world of cybersecurity. He claimed we are now “seeing models get so good at computer security they are beginning to find critical vulnerabilities.” The CEO’s statements about LLMs posing growing…

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense computational power at the problem. This formula worked for most of the time. From GPT-3 to GPT-4, and from crude chatbots to reasoning engines, the “scaling law” suggested that if we just kept feeding the machine more text, it would eventually become intelligent.But we are now hitting a wall. The internet is finite. High-quality public data is becoming exhausted, and the returns on simply making models larger are diminishing. The leading…