From Dictionaries to ChatGPT: A Journey Through Technological Evolution
Rodrigo Cipriani da Rosa
Senior Software Engineer | 15+ Yrs IT Expertise | Full Stack / Backend / Frontend Developer | JavaScript, TypeScript, React, Next.js, Node.js, TailwindCSS, Angular, Python, Ruby on Rails | Proactive problem-solver
Remember when we spent hours searching for information in dictionaries and encyclopedias? Nowadays, detailed answers are just a click away. This evolution is just the beginning! Tools like ChatGPT are arriving to completely transform how we work, study, and communicate.
Now, imagine having a virtual assistant that not only answers you but also understands you when you speak and can even show you images and videos. These multimodal technologies are coming in strong and will once again change the way we interact with machines.
I've seen firsthand how surprising it is. I've shown ChatGPT to several friends, and the reaction is always the same: they're amazed. After a few days, they're already sending me messages of thanks because the tool helped them so much with a college project or work.
In the past, I used simple tools like Notepad to write code. It was all very manual, you know? Over time, I migrated to more advanced editors, like Visual Studio Code, which already made life a lot easier. Now, with ChatGPT, I can generate code in seconds and even ask for help with debugging! It's a paradigm shift.
Looking back, it was hard to imagine how technology would change my routine so much. Now, with ChatGPT and other tools, I feel like I'm just beginning to understand the potential we have in our hands.
?? Does anyone remember a robot like that in ?"The Jetsons" cartoon?
#artificialintelligence #technology #innovation #ChatGPT #gemini #multimodal #LLM
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
1 个月The convergence of multimodal AI and LLMs like ChatGPT is poised to create truly immersive experiences, blurring the lines between physical and digital realms. Imagine a world where AI assistants can not only understand text but also interpret images, sounds, and even emotions. How will these advancements in understanding human interaction shape the design of future collaborative workspaces?