Tag Archives: Computational neuroscience

30Dec/25

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

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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 →

29Dec/25

Cybersecurity Forecast 2026: The Rise of AI Agents, Persistent Extortion, and Evolving Nation-State Tactics

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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 →

28Dec/25

AI Has Altered Entry-Level Technology Hiring

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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 →

18Dec/25

AI’s Future in Filmmaking: Creativity and Ethics

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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

29Nov/25

Black Lotus Ventures: The AI-Powered Viral Engine

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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

25Nov/25

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

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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 →

25Nov/25

Critical Thinking: There is a thin line between genius and insanity

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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 →

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

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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 →