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. 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
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
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
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
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.
Down load the free report
Tiarna Lee, King’s College London
Imagine an AI model that can use a heart scan to guess what racial category you’re likely to be put in – even when it hasn’t been told what race is, or what to look for. It sounds like science fiction, but it’s real.
Jan. 8, 2025 /Mpelembe Media/ — The DreamSmart StarV Air2 debuted at CES 2025, leading a new trend in smart wearables. The device showcases innovative technology with a focus on value and providing a new smart wearable experience. The smart glasses are designed to be a barrier-free communication tool and aim to improve social interaction. The device is intended to address the needs of the hearing impaired, with features including real-time transcription and translation capabilities. DreamSmart’s “All in AI” strategy is a core part of the company’s innovative products and services. Continue reading
Jan. 3, 2025 /Mpelembe Media/ — The Internal Revenue Service (IRS) is using artificial intelligence (AI) to improve the efficiency and effectiveness of its audit selection process, particularly within the National Research Program (NRP). The NRP is used to develop estimates of the tax gap, which is the difference between taxes owed and taxes paid. The IRS is implementing AI models to select tax returns for audit in a way that is intended to be more targeted and efficient than traditional methods. Continue reading
Sreevas Sahasranamam, University of Glasgow
Science and faith are often kept in two distinct boxes that hardly ever intersect. However, I believe that as AI becomes more mainstream, it will fundamentally alter our engagement with faith and spirituality.