Chino Peak

 Artificial intelligence (AI) and machine learning (ML) have exploded into our lives, powering everything from our music playlists to groundbreaking medical diagnoses. Even how our mobile phone cameras take pictures uses AI. But where did this extraordinary revolution begin? And how did we go from clunky, rule-based systems to the sophisticated, data-driven intelligence we see today? The quest to build intelligent machines has captivated thinkers, scientists, mathematicians and many more for centuries, with pioneers like Alan Turing laying crucial theoretical groundwork long before the formal establishment of the field.  Now let's dive into the fascinating origin story and explore the ever-expanding contributions of these transformative technologies. The Seeds of Intelligence: Early Days of AI The concept of artificial intelligence has roots in ancient myths and fictional automatons. However, the formal pursuit of AI as a scientific field began in the mid-20th century. Alan Tu...

 As mentioned in this post,  https://www.chinopeak.com/2025/03/pros-of-ai-today.html , we have been given a few powerful tools in our hand. AI is a promising technology yes we get that. But let's dive a little about it. Is it all good? We are going to weight the cons if they are really worth it. It's the buzzword on everyone's lips, promising to revolutionize everything from healthcare to how we order pizza. While the potential benefits are undeniable, it's crucial to acknowledge the less glamorous side of AI – the potential downsides and ethical dilemmas that demand careful consideration. Let's delve into some of the significant cons of  relying  on AI. Job Displacement and Economic Disruption Perhaps the most widely discussed concern is the potential for AI-driven automation to displace human workers. Repetitive tasks, data entry, and even some analytical roles are vulnerable. This could lead to widespread unemployment and exacerbate existing economic inequalities...

 How AI is Creating Art, Music, and More Have you ever seen an image generated by an AI, or listened to music composed by a computer? If not, you're missing out on something truly incredible. Generative AI is changing the landscape of creativity, and it's happening right now. What Is Generative AI? Basically, generative AI models learn the patterns and structures within a dataset (like images, music, or text) and then use that knowledge to create new, original content. Think of it as teaching a computer the "rules" of art or music, and then letting it improvise. For example, you can feed a generative AI thousands of paintings, and it will learn the styles, colors, and techniques of those artists. Then, it can generate new paintings that look like they were created by a human artist. A World of Creative Possibilities The applications of generative AI are vast and exciting: Art: AI can create stunning visual art, from abstract paintings to photorealistic images. Tools...

 Hey everyone! If you're anything like me, you've probably heard a lot about artificial intelligence lately. It's in the news, it's in our phones, and it's even writing blog posts (well, sort of!). But have you ever stopped to wonder how we got here? How did we go from clunky, basic computer programs to the sophisticated AI systems we see today? Let's take a little trip down memory lane, shall we? The Early Days: Rule-Based Systems Back in the early days of AI, things were pretty simple. We were dealing with what are called "rule-based systems." Imagine a computer program that follows a set of "if-then" rules. For example, "IF it's raining, THEN take an umbrella." These systems were good at specific tasks, like playing chess or solving mathematical problems, but they were limited by the rules we programmed into them. If a situation fell outside those rules, the system was stumped. Think of it like a really detailed instruction m...

Introduction  AI or Artificial Intelligence is almost all around us. From music suggestions in Spotify, video recommendations from Youtube, friend suggestions on Facebook and many more.  In 2022, the AI era has come to a new level when ChatGPT was released. This gives us a new way of looking and experiencing the power of artificial intelligence or machine learning combined NLP of natural language processing. We can now talk with computers as if they are a real person. You can ask them anything and they give you a response. In its most basic term, they are a prediction of what should come next. More like a line equation that can predict what will be the next point when given a certain condition. You don't have to define everything for the machines to learn, you just have to cover a large set of data. For example, if we have a survey data of jobs by height, let's say job A are mostly performed by people with height 5 feet and below and job B are mostly performed by people with h...