Tag Archives: Artificial general intelligence

01Jan/26

Understanding the AI Economy and Digital ID

January 1, 2026EconomyAI agent, AI boom, Artificial general intelligence, Artificial intelligence, Artificial Intelligence Act, Automated decision-making, China, Computational neuroscience, Cybernetics, Existential risk from artificial intelligence, France, Generative artificial intelligence, Info, Machine learning, OpenAI, Regulation of artificial intelligence, sovereign cloud, Switzerland, THE FINANCIAL CONDUCT AUTHORITY, United Kingdom, Water Laneadmin

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 →

Beyond Automation: AI as the Operating System of Human Civilisation

December 31, 2025EconomyAI boom, AI datacenter, AI safety, Artificial general intelligence, Artificial intelligence, Artificial intelligence in India, Computational neuroscience, Cybernetics, Data science, Existential risk from artificial intelligence, Regulation of artificial intelligenceadmin

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 →

The AI Displacement Dilemma: Nearly Half of Workplace Skills Face Obsolescence by 2025

December 30, 2025BusinessArtificial general intelligence, Artificial intelligence, Artificial intelligence in India, Computational neuroscience, Cybernetics, Data science, Generative artificial intelligence, Retrainingadmin

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 →

28Dec/25

AI Has Altered Entry-Level Technology Hiring

December 28, 2025TechnologyAI code agents, Artificial general intelligence, Artificial intelligence, Artificial intelligence in hiring, Computational neuroscience, Cybernetics, Data scienceadmin

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 →

25Nov/25

The value of thought. How human-AI collaboration is measured economically

November 25, 2025Economy.google, AI alignment, Artificial general intelligence, Artificial intelligence, Computational neuroscience, Cybernetics, Deep learning, Large language model, Natural language processing, OpenAI, Prompt engineering, Tokenizationadmin

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.

Continue reading →

22Nov/25

Autonomous Economy: Agentic Economy as the Operating System of the Machine Economy

November 22, 2025EconomyAgentic AI, Artificial general intelligence, Artificial intelligence, Autonomous agent, Autonomous robot, Ethics of artificial intelligence, Intelligent agent, Machine ethics, Phoenix, Rio Tinto, Robot, San Francisco, Software agent, United States, Vehicular automation, waymoadmin

Nov. 22, 2025 /Mpelembe Media/ — We are currently in the foundational or emergence phase of the Autonomous Economy. It is no longer a futuristic concept; it is actively being built and deployed, though the full, ubiquitous vision of a global, self-regulating autonomous economy is still years away.

Many experts compare the current state of the Autonomous Economy to the Internet in the early 1990s—the core technologies and infrastructure are being established, and we are seeing the first truly disruptive commercial applications emerge. Continue reading →

21Nov/25

Is AI eating Crypto’s Lunch?

November 21, 2025FinanceArtificial general intelligence, Artificial intelligence, Bitcoin, Blockchain, Computational neuroscience, Crypto Prediction Markets, Cryptocurrencies, Decentralization, Financial technology, Generative artificial intelligence, Initial Model Offerings, The Blockadmin

Nov. 21, 2025 /Mpelembe Media/ — That phrase, “AI is eating crypto’s lunch,” generally refers to the current trend where Artificial Intelligence (AI) development and related companies are attracting significantly more investor capital and attention than the cryptocurrency and blockchain sectors.

However, the reality is more nuanced than a zero-sum competition, and both areas are also seeing convergence. Continue reading →

02Nov/25

AI’s Cronos Syndrome: Labs Versus App Developers

November 2, 2025UncategorizedAnthropic, Artificial general intelligence, Artificial intelligence, Computational neuroscience, Cursor, Deep learning, Existential risk from artificial intelligence, Large language model, OpenAI, P, Predictionadmin

Nov. 2, 2025 /Mpelembe Media/ — An article from The Economist titled “OpenAI and Anthropic v app developers: tech’s Cronos syndrome,” examines the emerging competitive dynamic between large language model (LLM) providers, such as OpenAI and Anthropic, and the specialised AI application developers that build their businesses atop these models. The article uses the metaphor of Cronos devouring his children to illustrate the fear that the powerful, highly-valued AI labs may eventually usurp the profits of the smaller app-makers like Cursor and Harvey. Continue reading →

30Oct/25

AI Agents and the Human-AI Collaborative Intelligence

October 30, 2025DevelopersAI agent, AI alignment, AI code agents, AI safety, Artificial general intelligence, Artificial intelligence, Computational neuroscience, Corner, Cybernetics, Data science, Deep learning, Generative artificial intelligence, Intelligent agent, Large language model, Salesforceadmin

Oct. 30, 2025 /Mpelembe Media/ — AI Agents are autonomous software systems that use Artificial Intelligence (AI) to perceive their environment, reason, plan, and execute actions to achieve a specific goal on behalf of a user, often without continuous human oversight. They essentially act as intelligent, goal-driven software robots. Continue reading →

20May/25

Generative AI’s Impact on Software Development: A DORA Perspective

May 20, 2025Developers.google, AI-Empowered Organization, Applications of artificial intelligence, Artificial general intelligence, Artificial intelligence, Chatbot, Computational neuroscience, Cybernetics, Deep learning, Ethics of artificial intelligence, Generative artificial intelligence, Machine learning, Open-source artificial intelligence, Philosophy of artificial intelligence, Regulation of artificial intelligenceadmin

May 20, 2025 /Mpelembe Media/ — This report from DORA explores the impact of generative AI on software development, analyzing both the challenges and opportunities it presents. It examines how AI affects individual developers’ productivity and well-being, finding both benefits and unexpected trade-offs. The document also addresses the organizational perspective, considering how AI influences processes like code quality and delivery speed, while acknowledging a potentially negative short-term impact on delivery performance. Finally, it proposes practical strategies for fostering developer trust, promoting responsible AI adoption, and measuring success within organizations.

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