Author: Ugochukwu Levi F

AI tools are evolving so fast that what felt “cutting-edge” last year can now feel almost standard. While Google Gemini is still a powerful AI assistant, it is no longer the only major option shaping how people write, research, code, and create content. A growing network of competitors now offer different strengths-some focus on writing quality, others on real-time information, productivity, or even personality-driven conversations. Here are 10 of the best Google Gemini alternatives you should try right now, depending on what you need AI for. 1. ChatGPT (OpenAI) ChatGPT remains one of the most advanced and widely used AI…

Nigeria’s history is shaped by diverse names, places, and cultural contexts rooted in long-standing indigenous civilisations. Before colonial rule, the Hausa city-states, Yoruba kingdoms (Oyo empire and Ife), Benin Kingdom, and Igbo societies developed distinct naming systems tied to identity, geography, and social structure. Places and names carried historical meaning, often preserved through local languages and lived experiences. The 1914 colonial amalgamation unified these regions under British administration, introducing standardised mapping and naming systems that sometimes altered or simplified indigenous identities. Despite this, Nigeria’s linguistic and cultural diversity remained deeply intact. In today’s AI-driven era, this diversity creates a challenge.…

The rapid integration of artificial intelligence into education is reshaping how students learn, research, and complete assignments across Nigeria. Tools such as ChatGPT and other generative AI systems are now commonly used by secondary and university students to answer questions, summarise texts, and even draft academic work. However, beneath this convenience lies a growing concern: AI hallucination, a phenomenon where AI systems produce information that appears accurate but is actually false or misleading. In a context where many students rely heavily on digital tools and have limited verification skills, this issue poses serious academic and cognitive risks. Therefore, in this article, AI hallucinations…

The adoption of artificial intelligence in the justice system marks one of the most consequential technological shifts of our time. Courts are increasingly experimenting with algorithmic tools designed to assist judges in making sentencing decisions-tools that promise faster, more consistent, and data-driven outcomes. At first glance, this appears to be a natural evolution. Judicial systems are often burdened by delays, inconsistencies, and human limitations. AI seems to offer a solution. Yet beneath this promise lies a deeper and more troubling question: can a system built on data truly deliver justice, or does it risk distorting it? This article argues that…

Artificial intelligence looks like software on the surface—chatbots answering questions, systems generating images, and models predicting outcomes in seconds. But underneath all of this is a physical foundation that makes it possible: AI chips. These chips are highly specialised processors designed to handle enormous volumes of mathematical operations at very high speed and low energy cost. They are what allow AI models to learn from data, make decisions, and respond in real time. The companies building these chips are not just competing in hardware—they are shaping the future of computing, cloud services, smartphones, cars, and global technology infrastructure. The AI…

NVIDIA is a key player in artificial intelligence because it builds a complete AI ecosystem, not just chips. This system integrates hardware, software, platforms, networking, and cloud services into a single, unified structure. For beginners, it can be seen as an “AI factory”: chips provide computing power, software controls it, and platforms package it into usable AI systems. Working together, these layers enable major AI capabilities like training large models, running real-time AI, simulating real-world environments, and powering AI in devices such as cars, robots, and cloud applications. To understand how this works clearly, below is a breakdown of NVIDIA’s…

China has introduced stricter examination standards for artificial intelligence (AI) patent applications, as authorities move to improve patent quality and strengthen oversight of rapidly evolving technologies. The new rules, issued by the China National Intellectual Property Administration (CNIPA), require examiners to assess not only the technical merits of AI inventions but also their compliance with applicable laws and public-interest considerations. CNIPA said the changes are intended to “improve the quality of patents and promote the high-quality development of intellectual property,” reflecting a broader policy shift toward higher-value innovation. Under the revised guidelines, applicants must demonstrate clear technical advancement rather than…

A man has admitted submitting fabricated objections to Westminster City Council in an attempt to block the reopening of Heaven nightclub in central London, using artificial intelligence to generate false resident complaints, according to court proceedings and police reports. The defendant, Aldo d’Aponte, pleaded guilty to making false statements in connection with a licensing application under the Licensing Act 2003. The court heard that during the licensing process, Westminster City Council received a series of objection emails sent through encrypted accounts. The messages were presented as from local residents opposed to the nightclub’s reopening, but investigators later determined that the…

AI coding startup Factory has reached a $1.5 billion valuation after closing a $150 million Series C funding round, marking a major milestone in the fast-growing enterprise AI software market. The funding round was led by Khosla Ventures, with participation from investors including Sequoia Capital, Insight Partners, Blackstone, and NEA, according to the company. Factory builds AI-powered coding agents designed to automate parts of software development, including code generation, debugging, and system maintenance. The company says its goal is to transform how enterprise engineering teams build and manage software using autonomous AI systems. Factory said in a statement: “We started…

Sequoia Capital has raised approximately $7 billion for a new expansion fund, marking one of the firm’s largest capital commitments to date and reinforcing its intensified focus on artificial intelligence under its new leadership structure. The fund will target late-stage startups across the United States and Europe, with particular emphasis on AI infrastructure, enterprise software, and robotics. It is the first major capital vehicle launched under co-stewards Alfred Lin and Pat Grady, who took over leadership following a governance transition in which Roelof Botha stepped down from the top stewardship role. The leadership change represents a broader strategic shift for…