Samuel Thompson

A DayTrading.com report suggests the AI frenzy shows signs of overvaluation, echoing the dot-com era despite AI’s transformative potential and real-world applications. While acknowledging AI as a legitimate boom, the report highlights concerns like inflated stock prices, AI “washing,” and reliance on high-risk financing. Optimistic investor sentiment, coupled with potential inexperience, could also fuel a bubble. However, unlike the dot-com era, AI is delivering productivity gains, though profitability remains limited to a few key players, suggesting long-term investments over immediate returns.

Elon Musk’s X and xAI have sued Apple and OpenAI, alleging an AI monopoly stemming from their exclusive ChatGPT integration into iPhones. The lawsuit claims this partnership locks out competitors like xAI’s Grok, hindering innovation and consumer choice by granting OpenAI unmatched data access and reinforcing its market dominance. They argue Apple uses the deal to counter the threat of “super apps” and unfairly disadvantages competing AI apps in the App Store, harming consumers. X and xAI seek to dismantle the alleged arrangement and recover billions in damages.

“Vibe coding,” using AI for code generation, is impacting Web3 development. Unlike general-purpose tools, Web3-specific platforms like Dreamspace, Thirdweb AI, ChainGPT, AutonomyAI, and BuildBear offer unique capabilities. These tools abstract blockchain complexities, enabling broader developer participation and faster development cycles. They provide features like natural language-to-code conversion, AI agents for blockchain interaction, vulnerability auditing, and isolated testnet environments. This accelerates smart contract creation, promotes reliability through verification, and lowers the barrier to entry for Web2 developers.

Ryt Bank, Malaysia’s first AI-powered bank, backed by YTL Group and Sea Limited, aims to revolutionize banking with its AI-driven platform, prioritizing linguistic inclusivity by supporting Bahasa Malaysia and English. Its digital assistant, Ryt AI, powered by the local ILMU language model, handles financial tasks and offers personalized insights. The all-in-one app provides services for saving, spending, borrowing, and bill payments. Operating under Bank Negara Malaysia’s regulations, Ryt Bank employs multi-layered security measures. The launch highlights AI’s potential to reshape Malaysia’s financial sector by focusing on accessibility and cultural understanding.

NVIDIA’s Spectrum-XGS Ethernet aims to link geographically dispersed AI data centers, addressing the capacity limitations of single-site facilities. This “scale-across” approach complements “scale-up” and “scale-out” strategies, using distance-adaptive algorithms and advanced congestion control to minimize latency and optimize network performance. Cloud provider CoreWeave will be an early adopter. The technology seeks to reshape AI data center planning, potentially reducing costs and improving performance by distributing workloads across multiple sites. Its success will depend on real-world effectiveness and navigating complexities beyond networking.

Google’s “Gemini for Government” agreement with the GSA offers U.S. federal agencies access to a comprehensive AI suite, including tools like NotebookLM and Veo, at a remarkably low price of $0.47 per agency through 2026. This deal, leveraging Google’s FedRamp High authorized cloud infrastructure, aims to transform government operations. While strategically positioning Google against competitors, the pricing model and potential for vendor lock-in raise concerns about long-term sustainability and market distortion. The success hinges on implementation details and safeguards.

AbbVie’s Rachel James discusses leveraging AI, specifically Large Language Models, to enhance cybersecurity by analyzing security alerts, identifying patterns, and uncovering vulnerabilities. AbbVie uses OpenCTI to transform unstructured threat data using AI. James, a contributor to ‘OWASP Top 10 for GenAI’, highlights risks like inherent unpredictability, transparency challenges, and ROI assessment. She emphasizes understanding attacker mindsets and advocates for integrating data science and AI into cybersecurity, capitalizing on intelligence data sharing. Professionals are encouraged to embrace AI.

Huawei Cloud has entered the Leaders quadrant in Gartner’s 2025 Magic Quadrant for Container Management and boasts the highest global customer recognition score. Its comprehensive container product portfolio supports diverse deployments, including edge computing. The company actively contributes to open-source projects and its CCE AI clusters power supernodes that rival Nvidia. While facing Western skepticism, Huawei Cloud gains traction globally, particularly in South America, Africa, and Asia, with key clients and deployments. Huawei’s open approach and full-stack capabilities position it as a growing force in the container and AI spaces.

Proton has upgraded its privacy-focused AI assistant, Lumo, with Lumo 1.1 offering faster, smarter responses while maintaining user confidentiality. The upgrade boasts significant improvements in reasoning, contextual understanding, and code generation. Unlike competitors, Lumo prioritizes privacy through end-to-end encryption, non-storage of conversations, and open-source mobile app code, allowing for community scrutiny. While full usage requires a Lumo Plus subscription, Proton bets on users valuing privacy enough to pay for it, challenging the conventional trade-off between AI power and data security.

Taiwan’s manufacturing sector is undergoing a significant shift, with AI server revenue now surpassing iPhone revenue for major players. This transition, occurring in just three years, sees companies like Foxconn strategically diversifying beyond consumer electronics. Taiwan dominates AI server manufacturing, accounting for over 90% of global builds. Production value surged in 2024, with companies like Wistron and Quanta experiencing substantial revenue growth. While this transformation benefits Taiwan’s tech industry, challenges remain, including potential market share erosion and the need for more distributed global operations.