ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.Try it now at chat.openai.com.


With the release of ChatGPT, these bots are now ready for the next stage of evolution. OpenAI on Thursday announced having trained and released a new model that interacts with humans using natural language. It uses a novel training method and is based on the GPT-3.5 architecture with a host of features that will make it difficult for users to differentiate if it is, indeed, an AI.


This stands in stark contrast to previous chatbots built on LLMs, which — due to the material contained in their datasets — did not have any filters on the kind of content they generated. This resulted in them providing well-written responses to prompts on divisive topics

It's answers is a bit better than most search engines. Google is going to build it's own soon . Conversation AI is getting better in answering questions than most search engines . ChatGPT can even code like codex and copilot

I'm currently working on it as we speak for a Chrome Extension.

Abeg Na nonsense... It's just an upgraded form of web browsing to me ...

TastyFriedPussy:
Abeg Na nonsense... It's just an upgraded form of web browsing to me ...

Smh

qtguru:


Smh

currently testing it too

TastyFriedPussy:
currently testing it too

These tools will end up replacing repetitive jobs, or being integrated with IDEs, Copilot is doing something like this.

qtguru:


These tools will end up replacing repetitive jobs, or being integrated with IDEs, Copilot is doing something like this.

repetitive jobs like ?

TastyFriedPussy:
repetitive jobs like ?

CRUD Apps, Business Logic etc API Generation

qtguru:


CRUD Apps, Business Logic etc API Generation

The data is from a pretrain Large language models (LLMs) using prompt commands .Having been trained on large amounts of content already, the model can often produce the right outcomes based on a simple task . In the large language models (LLMs) with Generative AI, this task description is called a prompt.

Example of prompt are :

Text to image
Text to 3d
Text to audio
Text to videos
Text to 2d
Text to speech synthesis

Alphabyte1:


The data is from a pretrain Large language models (LLMs) using prompt commands .Having been trained on large amounts of content already, the model can often produce the right outcomes based on a simple task . In the large language models (LLMs) with Generative AI, this task description is called a prompt.

Example of prompt are :

Text to image
Text to 3d
Text to audio
Text to videos
Text to 2d
Text to speech synthesis

https://www.awesomescreenshot.com/video/12970788?key=c99cc7ea244ae005dee2936467636ab9

I did something for a client, it's basic work, but it's Hijack the search and dumps the result in the body and you can switch back to Google Results

qtguru:


https://www.awesomescreenshot.com/video/12970788?key=c99cc7ea244ae005dee2936467636ab9

I did something for a client, it's basic work, but it's Hijack the search and dumps the result in the body and you can switch back to Google Results

Wow that's great

Interesting view from South Africa on an 'article' purportedly written by Chat got
https://mybroadband.co.za/news/software/472475-this-article-was-written-by-an-artificial-intelligence.html

Forum: https://mybroadband.co.za/forum/threads/this-article-was-written-using-openais-chatgpt-language-model.1216223/#post-30383593

Alphabyte1:
ChatGPT which interacts in a conversational way. ... ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.Try it now at chat.openai.com.
With the release of ChatGPT, these bots are now ready for the next stage of evolution. ... ..?
This stands in stark contrast to previous chatbots built on LLMs ... ...

semmyk:
Interesting view from South Africa on an 'article' purportedly written by Chat got
https://mybroadband.co.za/news/software/472475-this-article-was-written-by-an-artificial-intelligence.html

Forum: https://mybroadband.co.za/forum/threads/this-article-was-written-using-openais-chatgpt-language-model.1216223/#post-30383593

Great you can use it for Masters or PHD research purpose

The H200 GPU, combined with generative AI, will indeed provide an upgraded experience for artificial intelligence models. The CUDA vision technology will enhance the power of generative AI by accelerating the processing of complex visual data. This means that the AI models will be able to generate more realistic and detailed outputs, such as images, videos, or even entire virtual environments. The combination of the H200 GPU and generative AI will significantly improve the capabilities and performance of AI systems in various industries, including computer vision, gaming, and content creation.

GPT AI in 3D printed homes/buildings in construction or clothes .GPT AI can assist architects and engineers in generating innovative and optimized designs for 3D printed structures.

It sounds like the world is on the verge of a significant technological advancement with the development of the first autonomous supercomputer powered by GPT5. This type of supercomputer is expected to outperform Tesla Dojo, which is already renowned for its computing capabilities.

With the integration of GPT5, this new supercomputer will likely possess advanced natural language processing and understanding capabilities, enabling it to perform a wide range of complex tasks. Additionally, cognitive services can be employed to further enhance the system's ability to process and analyze vast amounts of information.

Cognitive services refer to a collection of AI tools and technologies that enable computers to understand, learn, and interact with humans in a more intuitive and natural manner. By leveraging cognitive services, the autonomous supercomputer can increase its information processing capacity, which may lead to breakthroughs in various domains like scientific research, data analysis, and problem-solving.

The combination of GPT5 and cognitive services in this autonomous supercomputer could potentially revolutionize multiple industries, including healthcare, finance, manufacturing, and research. The system's ability to efficiently process and comprehend vast amounts of data in real-time can lead to improved decision-making, enhanced problem-solving, and accelerated innovation.

However, it's important to note that the successful development and implementation of such an advanced supercomputer require careful research, considerable investment, and continuous improvements. Ethical considerations, privacy concerns, and maintaining the system's security will also be critical aspects to address.

Overall, the potential of an autonomous supercomputer powered by GPT5 and utilizing cognitive services is immense. It holds the promise of significantly advancing our understanding of the world and enabling us to tackle increasingly complex challenges in a variety of fields.

Voice to voice AI in AGI

Voice-to-voice artificial intelligence (AI) refers to an AI system or technology that is designed to understand and respond to spoken language, allowing for interactions between users and AI systems through speech. This technology utilizes machine learning algorithms and natural language processing techniques to interpret and generate spoken words.

Voice-to-voice AI can be used for various applications, including virtual assistants, customer service chatbots, voice-controlled devices, and language translation services. It enables users to communicate with AI systems and devices using natural language, providing a more seamless and intuitive user experience.

The development of voice-to-voice AI has been accelerated by advancements in speech recognition and synthesis technology. It allows AI systems to accurately transcribe spoken words into text, understand the meaning and context of the user's queries, and generate synthesized speech responses that sound natural.

Some popular examples of voice-to-voice AI include Amazon's Alexa, Apple's Siri, Google Assistant, copilot and Microsoft's Cortana. These virtual assistants can understand spoken commands, answer questions, perform tasks, and even engage in conversational interactions with users.Integrating voice-to-voice AI into AGI systems can enable more natural and interactive interactions between humans and AI. It can facilitate tasks such as voice commands, voice assistants, speech-based communication, and even enable AI systems to have conversations and engage in dialogue.

Voice-to-voice AI in AGI holds great potential in simplifying human-computer interactions and improving accessibility for individuals with disabilities. With ongoing advancements in AI technology, voice-based interfaces are expected to become more accurate, responsive, and capable of understanding and expressing human-like speech.

Building a voice over AI for Android,iOS , Mac , windows seems to be a great idea with different dialect using Google Translation API.

The idea of video to chat generation transcription with AI involves using artificial intelligence technology to convert or transcribe the content of a video into a text-based chat format. This innovation allows users to easily access and interact with video content through text-based chat interfaces, providing a more convenient and accessible alternative to traditional video viewing.

By utilizing AI algorithms and machine learning techniques, the technology can analyze the audio content of a video, convert it into written text, and organize it into a conversational format. This transcription can include not only the dialogue spoken in the video but also any relevant on-screen text or captions displayed.

The generated chat format offers several benefits. First, it allows users to consume video content in situations where they may not be able to watch or listen to it, such as in noisy environments or during times when audio playback is inconvenient. Additionally, individuals with hearing impairments can more easily access video content by reading the text-based chat instead of relying solely on audio.

Furthermore, video to chat transcription enhances accessibility by enabling users to search, skim, and navigate through the content in a more efficient manner. Users can quickly find specific information by searching for keywords or phrases within the chat, making it easier to locate specific moments or topics of interest.

Additionally, the chat format allows for interactive engagement with the video content. Users can ask questions, request more information, or seek clarification directly within the chat interface. The AI system can then provide responses based on the content of the video or redirect users to relevant sections of the transcript. This interactive element enhances the learning experience and provides a more personalized and engaging way to interact with video content.Imagine transcription of video to chat of any social media or video app .

Furthermore, the transcription can be translated into multiple languages, expanding the reach of the video content to a global audience. Users who may not understand the original language spoken in the video can benefit from reading the translated chat transcript in their preferred language.

Overall, the concept of video to chat generation transcription with AI opens up new possibilities for accessing and interacting with video content. It combines the convenience and accessibility of text-based communication with the rich and engaging experience of video. This innovation has the potential to revolutionize the way we consume, engage with, and learn from video content in a wide range of fields, including education, entertainment, marketing, and more.

Alarm AI technology has revolutionized the way people and investors approach trading decisions, providing a constant stream of information and alerts that can help individuals make informed choices about their investments. These AI-powered alarms are designed to wake people up at any time of day or night to notify them of potential trading opportunities or risks. One of the key benefits of alarm AI technology is its ability to monitor market trends and fluctuations in real-time, allowing investors to stay ahead of the curve and make timely decisions.

By setting up specific criteria and thresholds, individuals can customize their alarms to alert them when certain conditions are met, such as when a stock reaches a certain price point or when a market index experiences a significant change. For investors who are actively involved in trading, these alarms can be a game-changer, providing them with the information they need to react quickly to market movements and capitalize on potential opportunities. Whether it's a sudden spike in a particular stock or a major news event that could impact the market, alarm AI technology ensures that investors are always in the loop and ready to act. However, the use of alarm AI technology to wake people up at night or day to sell or trade also comes with its own set of challenges and considerations. For one, the constant stream of alerts and notifications can be overwhelming for some individuals, leading to information overload and decision fatigue.

It's important for users to strike a balance between staying informed and avoiding burnout, ensuring that they are able to make clear-headed decisions without being swayed by emotion or impulse. Furthermore, the reliance on AI technology for trading decisions raises questions about the role of human judgment and intuition in the investment process. While AI algorithms can analyze vast amounts of data and identify patterns that humans may overlook, they are not infallible and can sometimes make mistakes or misinterpret information.


It's crucial for investors to use alarm AI technology as a tool to supplement their own knowledge and expertise, rather than relying on it blindly to make all their trading decisions. In conclusion, alarm AI technology has the potential to revolutionize the way people and investors approach trading, providing them with real-time alerts and notifications that can help them stay informed and make timely decisions. By leveraging this technology effectively and thoughtfully, individuals can navigate the complexities of the financial markets with confidence and agility, maximizing their chances of success in an ever-changing landscape.

For more usage users can insert API endpoints and get notifications of alarm. The architecture will be an enterprise AI alarm.

Generative AI, you can use either 2D or 3D programming techniques, depending on the complexity and visual output you desire for your AI-generated artwork. Here are some considerations for using 2D or 3D programming to create generative art on a canvas using AI:

1. **2D Generative AI with Canvas**:
- **Techniques**: In a 2D canvas, you can use libraries like p5.js or Processing to create generative art algorithms that manipulate shapes, colors, and patterns.
- **Algorithm**: You can implement 2D generative algorithms like fractals, cellular automata, neural networks, or genetic algorithms to create visually interesting patterns and designs.
- **Interactivity**: 2D canvases are ideal for interactive generative art where users can influence the artwork through mouse movements, clicks, or inputs.
- **Performance**: 2D canvas rendering is generally faster and requires less computational power compared to 3D rendering.

2. **3D Generative AI with Canvas**:
- **Techniques**: Utilize libraries like Three.js or WebGL to create 3D generative art on a canvas, allowing for more depth and complexity in the artwork.
- **Algorithm**: Implement 3D generative algorithms like procedural modeling, ray marching, or particle systems to create intricate 3D visualizations.
- **Realism**: 3D canvases can produce more realistic and immersive generative art that simulates physical environments, lighting effects, and textures.
- **Complexity**: 3D generative art can be more complex to code and require a deeper understanding of 3D graphics concepts.

3. **AI Integration**:
- **2D AI Art**: Train AI models using techniques like neural style transfer or GANs to generate 2D images that can be rendered on a canvas.
- **3D AI Art**: For 3D generative AI art, consider using AI models that generate 3D shapes, textures, or animations to enhance the visual output on the canvas.

In conclusion, both 2D and 3D programming techniques can be used to code canvas generative AI art, each offering unique advantages in terms of visual complexity, interactivity, and realism. Consider your artistic goals, technical expertise, and computational resources when choosing between 2D and 3D approaches for creating generative AI artwork on a canvas.
Main Avatar

Prompting

2d to code canvas
3d to code canvas

The rates US , Europe and Asia is investing billions of dollars in the next gen AI . All corporation, governments or startup are racing to build extraordinary models that can be pretrained by itself via its own simulation or agents.


OpenAI and Google with other AI corporation will build AI that will reduce human workforce causing higher level of unemployment globally. It's benefits is that it will help speed up scientific research like nuclear fusion and molecular biology. Medical field is also included more breakthrough are coming.

We are waiting for what is going to evolve in the next generation 2 years 4 at most ..


AI leading in creating the most unbelievable things and solutions to projects but causing large number of unemployment

Real-time physics simulation and mapping involve using computer algorithms and models to simulate physical interactions and map out virtual environments in real-time. These technologies are commonly used in various fields such as video game development, virtual reality, augmented reality, engineering simulations, and scientific research. Here are some key aspects of real-time physics simulation and mapping:


1. Physics Simulation: Real-time physics simulation involves using mathematical models and algorithms to simulate the behavior of physical objects and their interactions within a virtual environment. This includes simulating forces like gravity, friction, collisions, and fluid dynamics to create realistic and dynamic simulations.

2. Collision Detection: In real-time physics simulation, collision detection algorithms are used to determine when objects in the virtual environment intersect or collide with each other. Efficient collision detection is crucial for accurately simulating interactions between objects and ensuring realistic physics simulations.

3. Mapping and Environment Generation: Real-time mapping involves creating virtual environments or worlds where physics simulations can take place. This includes generating 3D models of objects, terrains, and structures, as well as designing the layout and properties of the virtual environment.

4. Integration with Graphics: Real-time physics simulation is often integrated with real-time graphics rendering to create immersive and visually appealing virtual environments. This integration allows for realistic visual feedback based on the physical interactions simulated in the environment.


5. Applications: Real-time physics simulation and mapping have a wide range of applications, including video games for realistic gameplay, virtual reality for immersive experiences, engineering simulations for testing designs, medical simulation, training simulations for various industries, and scientific research for studying complex physical phenomena.

Overall, real-time physics simulation and mapping play a crucial role in creating interactive and dynamic virtual environments that mimic real-world physics and interactions. The development of efficient algorithms and technologies in this field continues to advance the capabilities of simulations and their applications in various industries.

Alphabyte3:


Real-time physics simulation and mapping involve using computer algorithms and models to simulate physical interactions and map out virtual environments in real-time. These technologies are commonly used in various fields such as video game development, virtual reality, augmented reality, engineering simulations, and scientific research. Here are some key aspects of real-time physics simulation and mapping:


1. Physics Simulation: Real-time physics simulation involves using mathematical models and algorithms to simulate the behavior of physical objects and their interactions within a virtual environment. This includes simulating forces like gravity, friction, collisions, and fluid dynamics to create realistic and dynamic simulations.

good day sir i have install the plugin for php yet acode is not executing my code.

Shomek:
good day sir i have install the plugin for php yet acode is not executing my code.

It is because you need to install termux terminal
and Awebserver to run the codes the process is too long.