Jan. 1, 2026 /Mpelembe Media/ — In 2026, you are protected by a new generation of laws—specifically Article 86 of the EU AI Act and Article 22 of the UK/EU GDPR. These laws give you a “Right to Explanation” when a “high-risk” AI (the kind used in the AI Economy for jobs, loans, or insurance) makes a decision about you. Continue reading
Jan. 1, 2026 /Mpelembe Media/ — The “Fifth Industrial Revolution” (5IR), is a shift from tools that we control to environments that control themselves. It frames the future not as a collection of gadgets, but as a totalizing system—the “Cathedral”—where the infrastructure itself makes moral and economic decisions. The Dark Industrial Cathedral is built on surveillance, extraction, and algorithmic control. The primary task for 5IR leaders is “engineering ethics into infrastructure” by embedding human values directly into the code. Continue reading
Dec. 31, 2025 /Mpelembe Media/ — As of 2025, the global economy is projected to reach approximately $115 trillion, even as it faces a staggering $338 trillion in total debt. Within this landscape, artificial intelligence has emerged as the foundational infrastructure of a Fifth Industrial Revolution, with the AI economy expected to contribute over $15.7 trillion to global GDP by 2030. This technological shift is characterized by the rise of AI sovereignty, where control over data and models defines geopolitical power. While automation and AI agents enhance productivity and business valuations, they also present significant risks regarding cybersecurity and the potential erosion of human identity. Ultimately, society faces a critical choice between using these tools to foster human dignity or allowing them to create a future defined by algorithmic surveillance and control. Continue reading
Dec. 29, 2025 /Mpelembe Media/ — This edX and Workplace Intelligence report examines how artificial intelligence is fundamentally transforming the modern professional landscape. The findings reveal a significant skill gap, as executives anticipate that nearly half of current workforce capabilities will be obsolete by 2025. While leadership believes many roles—including executive positions—could be automated, entry-level staff are particularly vulnerable to displacement. Despite a strong desire among staff to gain AI proficiency, many organisations currently lack the robust training and development frameworks necessary to support this transition. Ultimately, the research suggests that companies must prioritise internal upskilling to retain talent and remain competitive in an increasingly automated economy. Continue reading
Dec. 29, 2025 /Mpelembe Media/ — The Cybersecurity Forecast 2026 report by Google Cloud examines the anticipated evolution of digital threats, primarily focusing on the transformative role of artificial intelligence. It describes how adversaries will increasingly use AI agents for automated attacks and sophisticated social engineering, while defenders will adopt similar technology to enhance security operations. Beyond AI, the analysis highlights the persistent danger of ransomware and the expansion of cybercrime into the blockchain and virtualisation sectors. The document also evaluates the strategic motivations of nation-state actors from Russia, China, Iran, and North Korea as they pursue global espionage and disruption. Ultimately, the report serves as a guide for organisations to modernise their identity management and governance frameworks in response to these emerging risks. Continue reading
Dec. 25, 2025 /Mpelembe Media/ — Recent graduates from Stanford’s computer science programme are finding it increasingly difficult to secure employment as artificial intelligence transforms the tech industry. Research indicates a significant reduction in entry-level hiring, as companies now prefer using automated tools alongside a small number of experienced developers instead of larger teams of junior staff. This shift has led many students to extend their education in hopes of gaining a competitive edge while waiting for a more favourable market. Beyond workforce displacement, the rise of AI presents environmental challenges due to the immense electricity and water required to power massive data centres. To adapt, experts suggest that universities update their curricula and students focus on complex system design and oversight skills that automation cannot yet replicate. Industry advocates also call for government intervention through retraining programmes to support workers affected by these rapid technological changes. Continue reading
Artificial intelligence (AI) is transforming global filmmaking by redefining creative roles, accelerating technological adoption, and introducing complex ethical challenges, as debated by industry leaders at the Short Shorts Film Festival & Asia (SSFF & ASIA) international conference. The conference explored how artificial intelligence is changing cinema, noting a significant increase in AI-related film submissions to the festival between 2024 and 2025. Key discussions centred on viewing AI as a creative partner rather than just a technical tool, addressing concerns about ethics and copyright, and sharing an overall optimistic outlook that AI will expand human creativity in filmmaking. Continue reading
Black Lotus Ventures, an Atlanta-based AI studio, outlines the successful use of Artificial Intelligence (AI) for content automation and marketing execution. The firm detailed a case study where they transformed an obscure exercise device into a viral product, generating $3.5 million in revenue and over 100 million views in just eight months. This success was achieved through a strategic “Hybrid-AI” framework built upon four central pillars, which included using machine learning for market research and deploying AI avatars to scale user-generated content. A key result highlighted was a single AI-designed video that quickly generated $800,000 in revenue in a 30-day period. Founded by a former Meta product manager, the company suggests this methodology represents a new wave of marketing where AI solutions are used to amplify human ingenuity at scale, offering proven commercial viability across market segments. Continue reading
This touches on how large language models (LLMs) operate! tokenization is the fundamental process in natural language processing (NLP) of breaking down raw text into smaller units called tokens, such as words, subwords, or characters. This is a crucial first step that transforms unstructured text into a structured format that machine learning models can process.
Nov. 25, 2025 /Mpelembe Media/ — This phrase, “There is a thin line between genius and insanity,” is a compelling and long-standing stereotype that suggests a close connection between exceptional creativity and mental illness.
While it’s a popular idea, modern research indicates that it’s an oversimplification. There isn’t a single “thin line,” but rather a complex, non-linear relationship where certain traits and genetic factors are sometimes shared between highly creative individuals and those with specific mood disorders. Continue reading