Tag Archives: Cybernetics

25Nov/25

Trump Launches Genesis Mission AI Initiative

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Nov. 25, 2025 /Mpelembe Media/ — The provided text details the inauguration of the “Genesis Mission”, a significant artificial intelligence (AI) initiative launched through an executive order signed by President Donald Trump in November 2025. This federal effort is aimed at dramatically accelerating American AI research, development, and application, particularly in scientific fields, and has been compared to the historical Manhattan Project in its urgency and ambition. The mission intends to leverage vast federal datasets and expand computational resources to create sophisticated AI models, with goals including strengthening national security and accelerating scientific discovery. This initiative builds upon existing frameworks like the National Artificial Intelligence Research Resource (NAIRR) and involves partnerships with key figures and agencies, such as the Department of Energy, to establish essential infrastructure like the “American Science and Security Platform.” Continue reading →

24Nov/25

AI Articles Surpass Human Output on the Web

Internet, , , , , , , , , , , , ,

Nov. 24, 2025 /Mpelembe Media/ — The analysis of the growth and prevalence of AI-generated articles being published on the web clearly indicates that the quantity of articles produced by AI surpassed human-written content in November 2024, a significant trend spurred by the launch of ChatGPT in late 2022. However, the proportion of AI content has recently stabilised and suggests this might be due to AI articles often not performing well in major search engines like Google. The CommonCrawl dataset and the application of an AI detection algorithm has been known for its false positive and negative rates when using articles from before ChatGPT’s release and articles generated by GPT-4o, respectively. Continue reading →

23Nov/25

Structural Collapse and Consolidation of Enterprise AI Architecture

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Nov. 23, 2025 /Mpelembe Media/ — ExperienceBypass™, an advisory firm, announced their new report titled “The Real AI Bubble.” This report, authored by CEO Honorio J. Padron, warns that the AI market faces a structural collapse, arguing the actual bubble is architectural, not financial. The core thesis is that tens of thousands of smaller AI point solution companies will disappear over the next 36 to 48 months as global enterprises consolidate their technology around a few AI Native Platforms (or “AI Factories”) such as NVIDIA and Palantir. This consolidation is driven by the failure of most enterprise AI pilots and a demand for unified architecture, mirroring the standardisation seen in the ERP sector during the 1990s. Padron asserts that non-integrated point solutions lack a place as the AI Enabled Enterprise™ becomes the new operating model, acting as the central nervous system for modern businesses. Continue reading →

23Nov/25

Artificial Intelligence Market Outlook 2033: Grand View Research

Finance, , , , , ,

This is a market research report from Grand View Research whose primary focus  is the global artificial intelligence (AI) market, projecting that it will reach $3.5 trillion by 2033, driven by a 31.5% annual growth rate. The document details key market drivers, such as the integration of AI into consumer wearables and advances in deep learning technology, while also segmenting the market by solutions, technologies, functions, end-use (with healthcare and the Asia Pacific region leading in 2024), and region. The report also includes supplementary information from Grand View Research on related AI markets, such as mobile AI and automotive AI. Continue reading

20Nov/25

UK Corporate Digital Communication: AI Responsibility and Transparency Gaps

Business, , , , , , , ,

A Webranking survey by Comprend assessment details how well the corporate websites of the UK’s largest listed companies meet stakeholder expectations for digital communication and transparency. A major finding is that while UK companies are strong in digital accessibility (with 75% publishing an accessibility statement), they significantly lag in responsible AI disclosure, as only 10% provide a policy or framework for ethical AI use, falling slightly behind the European average. The report notes a “clear gap” between merely discussing AI and demonstrating responsible governance, though sustainability communication is also expanding in scope. Overall, UK companies achieved an average score of 46.4 out of 100 in the ranking, with Coca-Cola HBC being the top scorer, demonstrating consistent strength in financial transparency and cohesive storytelling. The survey underscores the growing pressure on businesses to communicate clearly on complex topics like AI governance and sustainability amid evolving regulatory frameworks. Continue reading

19Nov/25

Workday Expands Ecosystem with Google BigQuery and Developer Network

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Workday is expanding its open ecosystem through two key initiatives: the introduction of a new global developer network aimed at training future AI talent via certifications and hands-on experience, and a strategic partnership with Google BigQuery to offer customers secure, zero-copy access to Workday HR and finance data for advanced AI-powered insights. Furthermore, the company highlights its planned acquisition of Pipedream, an integration platform, which will enhance Workday’s AI agent capabilities by securely connecting its data with thousands of external systems. Interspersed within the document are unrelated website navigational elements and advertisements for items such as children’s beds and business broadband. Continue reading

17Nov/25

Attention Sharing: AI Distraction Detection for Commercial Fleets

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 Seeing Machines Limited, an Australian company specialising in computer vision technology for transport safety announced launch of its “attention sharing” feature for the Guardian Generation 3 safety solution, which is marketed to commercial vehicle fleets globally. This world-first feature tracks the cumulative time a driver spends with their eyes off the road, detecting repeated, short glances—a major contributor to crash risk—that other systems often miss. The AI-powered technology continuously monitors eye gaze direction in real time to provide accurate distraction detection and subsequent intervention before safety is compromised. The announcement highlights that the feature is being deployed over-the-air to existing Guardian Gen 3 systems and includes references to supporting scientific studies on driver inattention. Continue reading

06Nov/25

Performativ Unveils Compliant AI Agents for Financial Institutions

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Performativ, a technology company, announced the launch of two new offerings: Custom Agents and the AgentKit Builder. These new capabilities are specifically designed to help financial institutions (such as banks and asset managers) safely and compliantly integrate artificial intelligence (AI) agents into their core operations and existing enterprise infrastructure. The solution is built to meet stringent regulatory oversight requirements, including those similar to the European AI Act, by ensuring all agent actions are logged, auditable, permissioned, and have traceability for regulatory review, thus transitioning enterprises from AI experimentation to secure, governed deployment. Continue reading

03Nov/25

Doomscrolling Explained and how AI agents and related tools can help mitigate the habit

Healthcare, , , , , , , ,

Nov. 3, 2025 /Mpelembe Media/ — Doomscrolling  (or doomsurfing) is the act of spending an excessive amount of time reading or watching a large quantity of negative, distressing, or alarming news and content online, particularly on social media and news websites. Continue reading →

02Nov/25

AI Classification for Google Drive Security

Innovation, , , , , ,

Nov. 2, 2025 /Mpelembe Media/ — The white paper from Google outlines their AI Classification for Google Drive solution, which uses custom, privacy-preserving AI models to automatically identify and label an organisation’s sensitive data at scale. The document explains that this capability addresses the challenge of manually classifying the exponentially increasing volume of data in Google Workspace, providing a more robust foundation for data protection, auditing, and records management. Continue reading →