Beyond Dystopia: 7 Promising Aspects of AI That Spark Enthusiasm
Beyond Dystopia: 7 Promising Aspects of AI That Spark Enthusiasm
Quick Links
- AI-Powered Personal Digital Assistants
- Robot Pets for Allergic People
- More Efficient Smart Homes
- Personalized Entertainment—Make Your Own Music & Movies
- Faster Video Game Production
- Personalized Learning
- Better Climate Models and Weather Prediction
AI is advancing at breakneck speeds, and many are viewing this as a potential apocalypse. Now, while it’s true that AI technology is being used in creepy ways, this shouldn’t overshadow its present and future benefits. So here are seven ways AI can help usher in the good times.
1 AI-Powered Personal Digital Assistants
We are practically counting the days until we have a fully realized personal digital assistant. Soon, we will be able to talk or text with AI on our phones or laptops , to help us better organize our day, get work done more quickly, or simply fetch information about a document we saved two weeks ago. Additionally, AI-embedded smart glasses can literally add a whole new dimension to our daily interactions.
Dibakar Ghosh / How-To Geek / MidJourney
For a glimpse of how an AI-powered personal digital assistant might work, you can look at the GPT-4o demo from OpenAI:
There is no denying that this is going to be super useful and make us more productive. What’s more, with better, more efficient models and advancements in AI hardware , we can potentially run these models entirely locally (on-device) without having to send data to the cloud, making it as secure as possible.
2 Robot Pets for Allergic People
Dibakar Ghosh / How-To Geek / MidJourney
We are seeing a lot of advancements in the robotics space thanks to Multimodal AI —AI that can use multiple input sources like text, images, audio, etc. The robot captures input from its mics, cameras, and other sensors, which its AI brain then processes and provides instructions on how to interact with the environment.
To get a glimpse of what’s possible with current technology, take a look at Loona—powered by GPT-4o:
If Loona is too small for your liking, you can take a look at the Boston Dynamics Robot Dog—Sparkles:
As you can see in this demo, the robots can also be dressed or clothed, to look like dogs, or cats, or whatever you want—I want an alligator!
Jokes aside, ideally, we want the AI model to run entirely locally on the robot for maximum security. Once that’s achieved, I think small-sized quadrupedal robots are going to become really popular. We all know the benefits of owning a pet , and a full-metal beagle can be just what the doctor ordered for people who suffer from allergies—myself included.
Now, I see some of you with your reservations about whether something made of metal can simulate the experience of owning a pet. I see you because I was you—until I saw this:
3 More Efficient Smart Homes
Dibakar Ghosh / How-To Geek / MidJourney
Smart homes already utilize a form of AI . However, in the near future, once they are infused with powerful LLM-backed AI models and have contextual awareness, they will become incredibly useful.
The most practical benefit will be improved energy management, especially if you have solar panels or solar roofs . With access to weather reports and local electricity rates, AI can seamlessly control and automate the optimal times to store solar energy in batteries or share it with the grid.
Beyond this, you can expect numerous quality-of-life enhancements. A centralized, locally-run AI-powered smart home hub , with access to data points such as humidity, AQI, temperature, and historical trends, can provide valuable insights.
For example, with historical data, it can tell you objectively if your rooms aren’t heated as well as before and if your HVAC needs servicing. Similarly, it can warn you about a potential damp or leak issue if the air is more humid than expected.
As a result, you get a smart home that doesn’t just react, but anticipates your needs, and provides actionable insights for a better quality of life.
4 Personalized Entertainment—Make Your Own Music & Movies
Dibakar Ghosh / How-To Geek / MidJourney
AI is already personalizing our multimedia experience as a recommendation engine. Spotify uses AI to recommend songs you might like, Netflix uses AI to recommend movies you might like and Steam uses AI to recommend games you might like. However, the next step of personalization puts the creative power in your hands.
Imagine writing some lyrics and turning that into a song. Or better yet, just feel a vibe, write what you feel, and have AI make the entire song for you. This is already possible thanks to tools like Suno and Udio . Here’s a song I cooked up using Udio:
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Then you have projects like Sora and other text-to-video AI that can generate short clips. You could potentially stitch these together to make your own movie or short film.
And let’s not forget about Showrunner from Fable Studio—a simulation of a world populated with interactive AI characters.
You can passively watch these AI characters live their lives as if it were a TV show. Or you can control what happens to their lives and steer the story’s direction. Gets your imagination running, doesn’t it?
5 Faster Video Game Production
Dibakar Ghosh / How-To Geek / MidJourney
As we are expecting higher-fidelity video games, the time it takes to make them is getting longer and longer. Red Dead Redemption 2 took around 8 years to finish. The Grand Theft Autio 5 development cycle was 5 years—with the sequel apparently in the works for over a decade. I remember playing Spider-Man dor PS4 back in 2018 and then having to wait 5 years until I could play the sequel, which honestly felt sort of rushed and unfinished.
However, as AI gets better, it can potentially help shorten this development cycle. The key area AI can help with is prototyping the games. With AI-generated character models and level designs, developers can quickly spin up different ideas, test them, and decide on whether to proceed with them or not.
In fact, if you play Roblox , you might already be aware of AI integrations that allow you to make video games with basic text prompts:
Apart from this, AI can also literally play these games and find bugs to speed up the debugging process. Not to mention using AI to build more lively NPCs with contextually relevant dialogue.
6 Personalized Learning
Dibakar Ghosh / How-To Geek / MidJourney
There was a lot of worry that calculators in classrooms would make kids dumber in mathematics, but there’s no scientific evidence to back this up . Similarly, there’s also a lot of concern surrounding the role of AI in education, but responsible adoption of AI can actually increase engagement with study materials.
Khan Academy , a leading educational platform, is already incorporating AI tools into its extensive curriculum to make learning fun and interactive for students.
Even if you don’t use Khan Academy, you can leverage AI tools like Perplexity or ChatGPT to enhance your learning experience. AI can simplify complex concepts, breaking them down into more understandable terms. For example, you can use this effective prompt:
Explain the “concept” to me as if you were explaining it to a preschooler, middle schooler, higher schooler, and college-goer.
A well-developed AI educational chatbot can also identify your strengths and areas of struggle. It can then use this contextual awareness to teach new concepts by relating them to familiar ones you already know. This creates a holistic, multidisciplinary learning experience, fostering deeper understanding and retention of knowledge.
7 Better Climate Models and Weather Prediction
Dibakar Ghosh / How-To Geek / MidJourney
This is already happening. Researchers around the world are using AI to create climate models that are becoming extremely accurate at predicting weather patterns . You also have projects like Earth-2 by NVIDIA, which creates planet-level simulation to visualize weather data in real-time.
According to reports, current AI-powered climate models perform better than conventional models . With time and advancements in AI, we can only expect these models to get faster and more accurate.
The implications don’t end at a 100% accurate daily rain forecast—although that’d be great! A powerful climate model can potentially predict the weather at least months or years in advance.
This is not just useful, but necessary. With extreme weather events becoming more common and more severe , we need to stay on top of the next tsunami or hurricane. Also, as the focus shifts towards renewable energy—particularly solar and wind—which are weather-dependent, we need to have a good idea of weather conditions for efficient energy management.
At the end of the day, AI is a tool. Whether it’s bad or not depends on how we use it. I personally believe that with informed regulatory policies, increased public awareness, and responsible development and deployment of AI systems, we can reduce bad actors and use this technology to move towards a brighter future.
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- Title: Beyond Dystopia: 7 Promising Aspects of AI That Spark Enthusiasm
- Author: Ian
- Created at : 2024-11-12 16:07:49
- Updated at : 2024-11-13 16:07:54
- Link: https://techidaily.com/beyond-dystopia-7-promising-aspects-of-ai-that-spark-enthusiasm/
- License: This work is licensed under CC BY-NC-SA 4.0.