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Google Experts Answer Your Top Most Searched Questions on AI

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Olumide Balogun Most Searched Questions on AI

New search trends released by Google show that search interest in AI has reached an all-time high in Nigeria. The trends show that people have searched for AI more than ever in 2023 so far, with interest rising 310% since last year, and by 1,660% in the last five years.

Google’s research also revealed the top trending questions being asked about AI across Nigeria. Here, Google West Africa Director, Olumide Balogun, answers some of the most frequently asked questions.

  1. What is Artificial Intelligence and how does it work?

AI is a type of technology that can learn from its environment, experiences and people and that can understand patterns and make projections better than any previous technology before it.

AI models are trained and created by human engineers, who input data into the AI system to train it. For example, in 2012, we showed an AI model thousands of videos of cats on YouTube so that it could learn to recognize a cat. Now, with advancements in technology, we could give an AI model hundreds of books on animals to read – and, using those, it would be able to describe a cat to us on its own despite having never been shown one.

Once AI systems are trained, they’re tested to see if they work well. You can do this by asking the AI model to describe or recognise a cat, for example, or even to generate a picture of one for you. Training AI models can take a long time – but once they work, they can be deployed into production so that you can use them at home.

  1. When did AI start?

AI can be traced back to the early 1950s, when Alan Turing – a British mathematician – published a paper on Computing Machinery and Intelligence. That kick-started the principles behind AI – but the first time anyone used the term was likely in 1956 when John McCarthy hosted a conference at Dartmouth College called the Dartmouth Summer Research Project in Artificial Intelligence.

So AI is not new – in fact, AI research has been accelerating since the 1990s. Google itself became an AI-first company back in 2015. But the pace of AI development is accelerating – with more households able to access generative AI tools like text-to-image generators or chatbots – which has made AI a household phrase for maybe the first time ever.

  1. Where is AI used?

AI has always been integral to many daily tools, from Google Translate to antilock braking in cars. Its transformative power, however, is being harnessed more profoundly now. In the heart of this evolution is the Google AI Centre in Accra, laser-focused on Africa’s unique challenges and aspirations. While innovations like Google DeepMind’s AlphaFold impact global biotech, in Africa, we’re taking strides that resonate with local needs. We’re collaborating to map remote buildings for better planning, using AI to predict challenges like locust outbreaks and enhancing maternal health via AI-powered ultrasound.

AI’s potential in sustainability is vast. In Africa, it’s about thriving industries that respect our rich biodiversity. While the global health community benefits from protein sequence mapping, for Africa, it’s a hope against diseases like malaria.

  1. What can AI do and how can I use it?

Think of AI as a tool that’s really good at understanding patterns and making projections – better than any computer has been before – and that’s been taught to learn from its environment, experiences and people. When you put that ability to good use, you can use AI to do all sorts of amazing things, like helping doctors to screen for and identify cancer, predicting and monitoring natural disasters, or helping businesses to identify and reduce their carbon emissions.

You’re probably using AI all the time already without realising it. But you can now also use AI to help boost your productivity with experimental language tools like Bard, to translate even more languages on Google Translate, or to find the most fuel-efficient route on Google Maps.

  1. Is AI dangerous?

AI is like any other technology in that it can be used for good or bad, depending on the user. On the one hand, it has incredible potential to be used in ways that are beneficial for society – whether it’s protecting people from spam and fraud, translating hundreds more languages, or forecasting floods up to seven days in advance. But it can also be used to amplify current societal issues – like misinformation and discrimination.

It’s really important that we get these tools right, working together to ensure we’re creating and using them responsibly. That means governments are introducing regulations to help us seize the benefits of AI while mitigating the risks, as well as companies developing shared sets of standards and principles. At Google, we’re also led by our own AI Principles – which you can read online – to make sure we’re developing AI that is beneficial for society. 

  1. Will AI take my job?

As technology has developed, so too has the job market. At the beginning of the last century, people mostly worked in agriculture. Now we have hedge fund managers, cabin crews aboard widely accessible commercial flights – and, as recently as 1995, web designers. So we’ve had these questions for a long time, and, as a society, we’ve navigated them well.

That’s not to underestimate the potential of AI – which is essentially the ‘third wave’ of digital technology after the internet and mobile phones. It will be brilliant for people’s productivity and for economic opportunity – but it will also cause some levels of disruption. We’ll see a whole set of jobs that can grow – but the most profound change will be how many of our jobs will be assisted by technology. AI will become a partner to many of us, helping us not just to make the repetitive tasks of our work more efficient but also sparking creativity and enabling us to spend more time on the bits of our jobs that we love and that challenge us. We’re already working with people to help them learn how AI can help them. Our Grow with Google programs have trained 7 million people and helped to close the digital skills gap in Africa. Governments, NGOs, and the private sector can work together to bring similar schemes about – ensuring that everyone can benefit from AI.

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Lagos’ Team Nevo Wins 3MTT Southwest Regional Hackathon

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Lagos 3MTT Hackathon Team Nevo

By Adedapo Adesanya

Lagos State’s representative, Team Nevo, won the 3 Million Technical Talent (3MTT) South-West Regional Hackathon, on Tuesday, December 9, 2025.

The host state took the victory defeating pitches from other south west states, including Oyo, Ogun, Osun, Ekiti, and Ondo States.

This regional hackathon was a major moment for the 3MTT Programme, bringing together young innovators from across the South-West to showcase practical solutions in AI, software development, cybersecurity, data analysis, and other key areas of Nigeria’s digital future.

Launched by the Federal Ministry of Communications, Innovation, and Digital Economy, the hackathon brought together talented young innovators from across the Southwest region to showcase their digital solutions in areas such as Artificial Intelligence (AI)/Machine Learning, software development, data analysis, and cybersecurity, among others.

“This event not only highlights the potential of youth in South West but also advances the digital economy, fosters innovation, and creates job opportunities for our young people,” said Mr Oluwaseyi Ayodele, the Lagos State Community Manager.

Winning the hackaton was Team Nevo, made up of Miss Lydia Solomon and Mr Teslim Sadiq, whose inclusive AI learning tool which tailors academic learning experiences to skill sets of students got the top nod, with N500,000 in prize money.

Team Oyo represented by Microbiz, an AI business tool solution, came in second place winning N300,000 while Team Ondo’s Fincoach, a tool that guides individuals and businesses in marking smarter financial decisions, came third with N200,000 in prize money.

Others include The Frontiers (Team Osun), Ecocycle (Team Ogun), and Mindbud (Team Ekiti).

Speaking to Business Post, the lead pitcher for Team Nevo, Miss Solomon, noted, “It was a very lovely experience and the opportunity and access that we got was one of a kind,” adding that, “Expect the ‘Nevolution’ as we call it, expect the transformation of the educational sector and how Nevo is going to bring inclusion and a deeper level of understanding and learning to schools all around Nigeria.”

Earlier, during his keynote speech, the chief executive officer (CEO) of Sterling Bank, Mr Abubakar Suleiman, emphasised the need for Nigeria’s budding youth population to tap into the country’s best comparative advantage, drawing parallels with commodities and resources like cocoa, soyabeans, and uranium.

“Tech is our best bet to architect a comparative advantage. The work we are doing with technologies are very vital to levelling the playing field.”

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re:Invent 2025: AWS Excites Tech Enthusiasts With Graviton5 Unveiling

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AWS Graviton5

By Aduragbemi Omiyale

One of the high points of the 2025 re:Invent was the unveiling of Graviton5, the fifth generation of custom Arm-based server processors from Amazon Web Services (AWS).

Many tech enthusiasts believe that the company pushed the limits with Graviton5, its most powerful and efficient CPU, frontier agents that can work autonomously for days, an expansion of the Amazon Nova model family, Trainium3 UltraServers, and AWS AI Factories suitable for implementing AI infrastructure in customers’ existing data centres.

Graviton5—the company’s most powerful and efficient CPU

As cloud workloads grow in complexity, organizations face a persistent challenge to deliver faster performance at lower costs and meet sustainability commitments without trade-offs.

AWS’ new Graviton5-based Amazon EC2 M9g delivers up to 25% higher performance than its previous generation, with 192 cores per chip and 5x larger cache.

For the third year in a row, more than half of new CPU capacity added to AWS is powered by Graviton, with 98 per cent of the top 1,000 EC2 customers—including Adobe, Airbnb, Epic Games, Formula 1, Pinterest, SAP, and Siemens—already benefiting from Graviton’s price performance advantages.

Expansion of Nova family of models and pioneers “open training” with Nova Forge

Amazon is expanding its Nova portfolio with four new models that deliver industry-leading price-performance across reasoning, multimodal processing, conversational AI, code generation, and agentic tasks. Nova Forge pioneers “open training,” giving organizations access to pre-trained model checkpoints and the ability to blend proprietary data with Amazon Nova-curated datasets.

Nova Act achieves breakthrough 90% reliability for browser-based UI automation workflows built by early customers. Companies like Reddit are using Nova Forge to replace multiple specialized models with a single solution, while Hertz accelerated development velocity by 5x with Nova Act.

Addition of 3 frontier agents, a new class of AI agents that work as an extension of your software development team

Frontier agents represent a step-change in what agents can do. They’re autonomous, scalable, and can work for hours or days without intervention. AWS announced three frontier agents—Kiro autonomous agent, AWS Security Agent, and AWS DevOps Agent. Kiro autonomous agent acts as a virtual developer for your team, AWS Security Agent is your own security consultant, and AWS DevOps Agent is your on-call operational team.

Companies, including Commonwealth Bank of Australia, SmugMug, and Wester Governors University have used one or more of these agents to transform the software development lifecycle.

Unveiling Trainium3 UltraServers

As AI models grow in size and complexity, training cutting-edge models requires infrastructure investments that only a handful of organizations can afford.

Amazon EC2 Trn3 UltraServers, powered by AWS’s first 3nm AI chip, pack up to 144 Trainium3 chips into a single integrated system, delivering up to 4.4x more compute performance and 4x greater energy efficiency than Trainium2 UltraServers.

Customers achieve 3x higher throughput per chip while delivering 4x faster response times, reducing training times from months to weeks. Customers including Anthropic, Karakuri, Metagenomi, NetoAI, Ricoh, and Splash Music are reducing training and inference costs by up to 50 per cent with Trainium, while Decart is achieving 4x faster inference for real-time generative video at half the cost of GPUs, and Amazon Bedrock is already serving production workloads on Trainium3.

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NITDA Alerts Nigerians to ChatGPT Vulnerabilities

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ChatGPT

By Adedapo Adesanya

The National Information Technology Development Agency (NITDA) has issued an advisory on new vulnerabilities in ChatGPT that could expose users to data-leakage attacks.

According to the advisory, researchers discovered seven vulnerabilities affecting GPT-4o and GPT-5 models that allow attackers to manipulate ChatGPT through indirect prompt injection.

The agency explained that hidden instructions placed inside webpages, comments, or Uniform Resource Locators (URLs) can trigger unintended commands during regular browsing, summarisation, or search actions.

“By embedding hidden instructions in webpages, comments, or crafted URLs, attackers can cause ChatGPT to execute unintended commands simply through normal browsing, summarization, or search actions,” they stated.

The warning followed rising concerns about AI-powered tools interacting with unsafe web content and the growing dependence on ChatGPT for business, research, and public-sector tasks.

NITDA added that some flaws allow the bypassing of safety controls by masking malicious content behind trusted domains.

Other weaknesses take advantage of markdown rendering bugs, enabling hidden instructions to pass undetected.

It explained that in severe cases, attackers can poison ChatGPT’s memory, forcing the system to retain malicious instructions that influence future conversations

They stated that while OpenAI has fixed parts of the issue, Large-Language Models (LLMs) still struggle to reliably separate genuine user intent from malicious data.

The Agency warned that these vulnerabilities could lead to a range of cybersecurity threats, including unauthorised actions carried out by the model; unintended exposure of user information; manipulated or misleading outputs; and long-term behavioural changes caused by memory poisoning, among others.

It advised Nigerians, businesses, and government institutions to adopt several precautionary steps to stay safe. These include limiting or disabling the browsing and summarisation of untrusted websites within enterprise environments and enabling features like browsing or memory only when necessary.

It also recommended regular updates to deployed GPT-4o and GPT-5 models to ensure known vulnerabilities are patched.

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