Tag Archives: Computational neuroscience

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.

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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 →

23Nov/25

Artificial Intelligence Market Outlook 2033: Grand View Research

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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

21Nov/25

Is AI eating Crypto’s Lunch?

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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 →

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