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Take a look at the essential events, concepts, terms, quotes, or phenomena every day and brush up your knowledge. Here’s your knowledge nugget for today.
The year 2025 has begun. With the arrival of the new year, a generational shift will occur. Until now, we have known the group termed Generation Z. As we transition out of 2024, Generation Z will come to a close, and Generation Beta will begin. If you’re feeling confused about what Generation Beta is and how it differs from Generation Z, this article will help clarify these points for you.
1. Generation Beta refers to the group of children born between the years 2025 and 2039. It is said that children in this generation will be faster than those in Generation Z (Gen Z) and Generation Alpha.
2. Generation Z, often referred to as Gen Z, includes individuals born roughly between the mid- to late-1990s and the early 2010s, who have grown up with the Internet, social media and smart phones. While Generation Alpha consists of those born between 2010 and 2025.
3. It is said that Gen Z are highly adept at using technology and often prefer digital communication over traditional methods. This generation is recognized for their diversity in ethnicity, gender, and sexual orientation.
4. With the advancement of science and technology and their increasing use among Generation Z and Generation Alpha, it is believed that by the time the children of Generation Beta grow up, technology will be even more advanced. Artificial intelligence and digital connectivity are likely to play a significant role in their lives.
5. The children of the Alpha generation have grown up with advanced technologies such as smartphones and artificial intelligence. Meanwhile, the children of the Beta generation have the potential to surpass the Alpha generation by embracing even more cutting-edge developments, like quantum computing and the metaverse.
6. It is often said that the new generation surpasses the previous ones in various aspects. Therefore, Generation Beta may be characterized by their ability to embrace new ideas and take prompt action. However, it is still too early to make definitive statements about them, as the world is changing at an unprecedented pace.
| Millennials and Generation X |
| The term millennial is used to describe a person born between 1981 and 1996 and Generation X includes persons born between the mid-1960s and the early 1980s. |
1. The metaverse is a collaborative, computer-generated environment where users can explore and interact with digital avatars of other real people.
2. The metaverse (also known as the virtual reality, virtual universe, or cyberworld) is somewhat similar to games like Second Life and other online role playing environments in that it allows users to take on alternate personas, meet new friends, and even create their own characters.
3. Metaverse is currently at a nascent stage, and it made its way to the collective consciousness after Facebook chose to rename itself as Meta. Similar to the rapid development of AI and the apprehensions surrounding it, Metaverse too has triggered significant debates around regulatory oversight, privacy and user safety.
1. Artificial Intelligence (AI) is the ability of machines, especially computers, to perform tasks that typically require human intelligence. These tasks include things like understanding language, recognising patterns, solving problems, and making decisions.
2. AI can be classified into two types: Artificial Narrow Intelligence (ANI) also known as weak AI and Artificial General Intelligence (AGI) also referred to as strong AI.
3. ANI is designed for specific tasks and excels within a narrow domain. Examples include virtual assistants like Siri, recommendation systems on platforms like Netflix, and image recognition software. ANI systems are highly specialised and cannot transfer their expertise to unrelated tasks.
4. In contrast, AGI aims to replicate human cognitive abilities, enabling it to perform any intellectual task a human can do. AGI would possess general reasoning skills, understand context, and adapt to new situations across various domains. It would be capable of autonomous learning and problem-solving without requiring task-specific programming.
5. Machine Learning (ML) and Deep Learning (DL) are subsets of AI but differ in complexity and capabilities. ML involves training algorithms to learn from data and make predictions and often requires manual feature extraction.
6. DL, a subset of ML, uses neural networks with many layers (hence “deep”) to automatically learn features from large datasets. While ML works well with smaller datasets, DL requires vast amounts of data and computational power.
(Sources: 8 things you can’t do in the metaverse, What is Artificial Intelligence, how is it revolutionising healthcare)
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