honestly wondering how people thinks AI is here to take your jobs,AI is basically here to make things easier

GPT is already making drug Discovery a reality and it can detect symptoms nearly accurate.
AI can assist in the design of new drugs and the optimization of existing ones, leading to faster and more efficient drug development processes. Medical generative AI is growing and we already have robot assistant which won't replace human . The goal is to make work easier.


AI video art you can generate a video using text prompt from an image it can even mimic normal human voice. The art is more futuristic in quantitative reasoning.

Coding with ChatGPT you gets all the answers about the codes in details. It is a tool that help you generate codes in fraction to build games , apps or website. Animation or short cartoon is done by prompt engineering . Argumented reality or VR AI assistant will help in teaching from a video recording software.

Nice from chat gpt.

ChatGPT is a language model, not an all seeing mystic with a crystal ball, it's not all a big deal as you'd probably thought

Quantum LLMs are an exciting area of research, it is important to note that quantum computing is still in its early stages of development. Building practical and scalable Quantum LLMs is a significant challenge, as it requires advancements in both quantum hardware and quantum algorithms

The field of Quantum Natural Language Processing (QNLP) focuses on developing quantum algorithms and models for language processing tasks. QNLP researchers are exploring ways to leverage quantum computing's unique properties, such as quantum parallelism and quantum entanglement, to improve language models' efficiency, accuracy, and performance.

It means there will be a fusion between classical and quantum computing in future.

Autonomous agents powered by large language models (LLMs) have the potential to play a significant role in the development of drones, robotics, and autopilot systems for flying cars. These LLMs, such as OpenAI's GPT-3, are trained on vast amounts of data and can generate human-like text, making them valuable tools for various applications.

In the context of drones, LLMs can assist in tasks such as mission planning, obstacle avoidance, and real-time decision-making. By analyzing data from sensors and combining it with their language processing capabilities, LLM-powered autonomous agents can quickly process information and make complex decisions to ensure safe and efficient drone operations.

Similarly, in the field of robotics, LLMs can help in tasks like object recognition, natural language understanding, and human-robot interaction. By understanding and generating human-like text, these agents can facilitate seamless communication between robots and humans, enabling more intuitive and efficient collaboration.

When it comes to autopilot systems for flying cars, LLM-powered autonomous agents can assist in navigating complex airspace, route planning, and optimizing flight parameters. By leveraging their language processing capabilities, these agents can analyze and interpret real-time data, such as weather conditions and air traffic, to make informed decisions and ensure safe and efficient autonomous flight.

It's important to note that while LLMs have shown great promise in assisting with these tasks, they are not standalone solutions. They need to be integrated with other technologies such as computer vision, sensor fusion, and control systems to create robust and reliable autonomous systems.

Furthermore, the development of drones, robotics, and flying cars involves various legal, ethical, and safety considerations. Autonomous agents should be designed with these factors in mind, ensuring compliance with regulations and prioritizing safety at all times.

In conclusion, autonomous agents powered by LLMs have the potential to revolutionize the development of drones, robotics, and flying cars by enhancing their autonomy, decision-making, and human interaction capabilities. However, it's important to approach their integration with caution, considering the various challenges and ensuring a responsible and safe deployment.

Cognitive Artificial General Intelligence (AGI) refers to the development of highly autonomous systems that possess human-level cognitive capabilities across a wide range of tasks and domains.

Researchers and organizations are exploring different approaches to AGI, including machine learning, cognitive architectures, symbolic reasoning, and hybrid models that combine multiple techniques.

I've not got any reason to use the stuff.

tollyboy5:
I've not got any reason to use the stuff.

Me too

tollyboy5:
I've not got any reason to use the stuff.

It is good for code review about warning or bugs and in education it can explain things in simpler terms for students to understand while learning. In cybersecurity it is faster to detect threat more AI are coming. Some advance robots are already running on ChatGPT. What people needs to be worried about is ethics and security.

Alphabyte2:


It is good for code review about warning or bugs and in education it can explain things in simpler terms for students to understand while learning. In cybersecurity it is faster to detect threat more AI are coming. Some advance robots are already running on ChatGPT. What people needs to be worried about is ethics and security.

stackoverflow does a lot of help to me. I agree with you tho.

Alphabyte2:
GPT is already making drug Discovery a reality and it can detect symptoms nearly accurate.
AI can assist in the design of new drugs and the optimization of existing ones, leading to faster and more efficient drug development processes. Medical generative AI is growing and we already have robot assistant which won't replace human . The goal is to make work easier.


AI video art you can generate a video using text prompt from an image it can even mimic normal human voice. The art is more futuristic in quantitative reasoning.

Coding with ChatGPT you gets all the answers about the codes in details. It is a tool that help you generate codes in fraction to build games , apps or website. Animation or short cartoon is done by prompt engineering . Argumented reality or VR AI assistant will help in teaching from a video recording software.

I made some predictions before some of these AI tools where created . You can make accurate predictions by analyzing patterns in data, but these predictions are based solely on the information and patterns . ChatGPT is not perfect but it is a good invention in the age of AI

In healthcare GPT needs real-time visualization and analysis of simulation result Researchers can explore the data generated by the simulations or modelling in a dynamic and interactive manner, facilitating a deeper understanding of the compound and complex biology systems from the body. Using machine learning such system needs high end CPU and GPU to query large dataset of compounds or molecular biology from CT scan , MRI scan and X-RAY scan.

Microscopy techniques combined with advanced labeling methods, such as immunofluorescence and fluorescence resonance energy transfer (FRET), allow scientists to study molecular interactions and dynamics within living cells. Software/Application or plugin for molecular biology needs to be created .

We now have ChefGPT and Farm GPT next is order GPT as an enterprise logistics AI platform.By leveraging the power of AI, Order GPT can automate and optimize numerous logistics processes, leading to improved efficiency, reduced costs, enhanced customer experiences, and ultimately, increased profitability for enterprise logistics operations.

The AI platform can provide real-time tracking of orders and shipments. It can integrate with GPS technology and logistics systems to monitor the movement of goods throughout the supply chain. Order GPT can also send automated notifications to customers, keeping them informed about the status of their orders and any potential delays.

A robot equipped with IoT (Internet of Things) devices and generative AI powered by GPT (Generative Pre-trained Transformer can become an intelligent and adaptive home assistant. Here's an idea on how such a robot could be useful:

1. Personalized Home Management:
The robot would learn the preferences and habits of the household members through conversation and observation. It could control various IoT devices, such as lights, thermostats, and security systems, to personalize the environment according to individual needs. For example, it could automatically adjust the temperature, lighting, and play preferred music based on the household member's prior choices.

2. Health and Wellness Companion:
With access to health-related IoT devices like smartwatches, fitness bands, and even medical sensors, the robot can serve as a health and wellness companion. It could monitor vital health metrics, remind individuals about medication schedules, offer personalized exercise routines, and even provide recommendations for healthy recipes or grocery shopping based on an individual's dietary needs.

3. Entertainment and Information:
The robot can act as a source of entertainment and information by leveraging its GPT-powered generative AI. It would understand natural language and have knowledge across various topics, making it capable of engaging in intelligent conversations, answering queries, and providing recommendations for movies, books, music, or other recreational activities. It could also act as a tutor, guiding individuals through educational content or providing assistance with homework.

4. Home Security and Automation in engineering sensing:
Integrated with a network of IoT security devices, such as cameras, motion sensors, and door/window sensors, the robot can enhance home security. It can detect unusual activities, identify intruders, and promptly notify homeowners or authorities. The generative AI can provide real-time insights and suggestions to optimize home automation, making the house more energy-efficient, secure, and convenient. Robot and generative GPT in construction automation is to leverage technology to enhance construction robotics, enabling them to perform tasks more efficiently, accurately, and safely, ultimately revolutionizing the construction industry. Road will be able to perform task based algorithm daily using neural networks connected to clouds with power CPU from Intel and GPU from NVida in large data center for computing.

5. Personalized Assistance and Task Management:
By keeping track of household tasks and utilizing natural language understanding capabilities, the robot can efficiently manage to-do lists, reminders, and schedules. It can help plan and prioritize tasks, manage shopping lists, and even order groceries online when needed. The robot would adapt approaches based on individual preferences and provide personalized recommendations to enhance productivity.

This integration of IoT devices with generative AI GPT technology in a robot would bring about a versatile and intelligent companion that can enhance various aspects of daily life, making the home experience more personalized, secure, and convenient.

Generative AI approach to unsolved problems in Chemistry ,Math , Physics and Computer by analysis of massive data saving research cost and time .

How do we use it to make money

Leap motion Tech with sensor needs to be integrated to GPT. It was created by the founder of midjourney. Overall, incorporating Leap Motion technology and sensors into GPT models could offer exciting possibilities for more intuitive and immersive human-computer interaction, enabling users to generate text through natural hand gestures and movements.

Users could see their hand movements reflected in real-time as the GPT model generates text, allowing for an interactive and dynamic experience. Using multimodal and multi-agent abilities it can be used to recreate 3d scene software as in blender,3d max and Maya using gesture ,visual ,text ,voice prompting by performing different instructions

Xinjin:
ChatGPT is a language model, not an all seeing mystic with a crystal ball, it's not all a big deal as you'd probably thought

Only if them know say ChatGPT is just one out of hundreds, If not thousands LLM's.

ChatGPT is the entry level model for commercial purposes. You think the military haven't explored and filtered it?
E don come, e go soon go too.
Learn what's behind it, not what it offers.

I'm not learning anyone at the moment sha, BUT I can build stuff around it. Thanks to typescript.
But python sha aaaa

niel63:


Only if them know say ChatGPT is just one out of hundreds, If not thousands LLM's.

ChatGPT is the entry level model for commercial purposes. You think the military haven't explored and filtered it?
E don come, e go soon go too.
Learn what's behind it, not what it offers.

I'm not learning anyone at the moment sha, BUT I can build stuff around it. Thanks to typescript.
But python sha aaaa

gpt-4 is currently the best model though. Don't know about it filtration by the military, Some of their models like gpt2 is not filter. I doubt it fading out anytime soon, jobs to get hit most, support, writers, administrators...

I've stopped using Stackoverflow because of chatgpt.

Same to point answer and less bullshit.

Imagine creating tradeGPT to predict the price of any assets from 1% to 10% that collect data from popular website online and fine-tune it.

Imagine super robotics AI agents that are equiped with advanced capabilities and intelligence that allow them to effectively power up robotic neural networks for numerous robotics tasks.

With their powerful processing power and vast knowledge base, these AI agents are capable of understanding complex and abstract concepts, enabling them to analyze and process data efficiently. They can identify patterns, make predictions, and adapt to new scenarios, making them indispensable in the field of robotics.

When powering up robotic neural networks, these super robotics AI agents play a crucial role in training and fine-tuning the networks. They can quickly process large amounts of data and optimize the neural network's parameters to achieve the desired outcome.

landiqa:
Google Gemini is way better

With a little bit of work I was able to bulk publish 45 blog post with Google sheet and Google gemini API

Got the blog approved for AdSense and ezoic

Give it a try

Google Gemini outperform ChatGPT in some tasks . I don't know which is a better writer for publishers