AI Thinking I We are Heading Towards Self-Awareness Machine (AGI)

Neuralink

It is a neurotechnology company that is developing implantable brain-computer interfaces (BCIs) that could enable humans to communicate with and control machines. It was founded by Elon Musk and a team of scientists and engineers in 2016.https://neuralink.com/https://en.wikipedia.org/wiki/Neuralink

Neuralink's goal is to create a generalized brain interface that could restore autonomy to those with unmet medical needs today and unlock human potential tomorrow.https://www.knowyourmobile.com/user-guides/what-is-neuralink/ Some of the potential applications of Neuralink's technology include treating brain diseases such as Parkinson's, Alzheimer's, epilepsy, and depression; enhancing cognitive abilities such as memory, learning, and creativity; and achieving digital immortality by uploading one's mind to a computer system.https://www.thequint.com/explainers/what-is-neuralink-and-how-does-it-work-explainedhttps://www.bbc.com/news/health-65717487

Neuralink's brain-computer interface consists of four main components: an implant, a surgical robot, a wireless charger, and an application. The implant is a small device that contains 1024 electrodes distributed across 64 flexible threads that can record neural activity from the brain. The surgical robot is a device that can insert these threads into the brain with high precision and minimal damage. The wireless charger is a device that can power the implant from outside the body via induction. The application is a software that can decode the neural signals and translate them into actions and intents.https://www.knowyourmobile.com/user-guides/what-is-neuralink/

Neuralink has demonstrated its technology on animals such as rats and pigs, and has received approval for human trials in the United States in 2023.  Neuralink hopes to start with patients who have severe spinal cord injuries or paralysis, and eventually expand to healthy volunteers who want to enhance their capabilities.

Neuralink is one of the most ambitious and innovative projects in the field of AI and neuroscience. It aims to create a seamless connection between humans and machines, and to explore the possibilities and challenges of merging biological and artificial intelligence.

Tesla robot.

Tesla robot, also known as Optimus, is a conceptual humanoid robot that is being developed by Tesla, Inc. It was announced by CEO Elon Musk at the company's Artificial Intelligence (AI) Day event on August 19, 2021.

Tesla robot is designed to be a general-purpose robot that can perform tasks that are too dangerous, boring or difficult for humans. It can use the same tools and software as Tesla vehicles and leverage the power of AI and computer vision.

Tesla robot is expected to have a height of 5 feet 8 inches (1.73 m), a weight of 125 pounds (57 kg), and a speed of 5 miles per hour (8 km/h). It will have a screen for a face that can display useful information. It will have 40 electromechanical actuators: 12 in each arm, 12 in each leg, two in the torso and two in the neck. It will have eight cameras for vision and 12 ultrasonic sensors for obstacle detection. It will run on the same Full Self-Driving (FSD) computer chip and Dojo training system that power Tesla's autonomous vehicles.

Tesla robot is intended to be friendly and safe, and to follow human commands. Musk said that the robot will be able to do tasks such as picking up groceries, attaching bolts to cars with a wrench, or eliminating dangerous, repetitive and boring tasks. He also said that the robot will be able to learn from humans and improve its skills over time.

Tesla robot is still in the early stages of development, and Musk said that Tesla would likely build a prototype by 2022. He also said that Tesla is open to collaborating with other companies and researchers in the field of robotics and AI.

Tesla robot is one of the most ambitious and innovative projects in the field of AI and robotics. It aims to create a humanoid machine that can assist humans in various domains and scenarios, and to explore the possibilities and challenges of coexisting with intelligent machines.

Ameca and chat GPT-4.

Amec is a realistic humanoid robot that is being developed by Engineered Arts, a UK-based company. It was revealed in August 2021 and has been described as the world's most advanced humanoid robot.https://interestingengineering.com/innovation/most-advanced-humanoid-robot-amecahttps://www.youtube.com/watch?v=8kwWLDUwEPY

Ameca is designed to have lifelike facial expressions and natural conversations with humans. It can move its head, eyes, mouth, and eyebrows to convey emotions and reactions. It can also speak multiple languages, including Japanese, German, Chinese, French, British English, and American English.https://gizmodo.uol.com.br/robo-ameca-usa-chatgpt-para-simular-emocoes-humanas-veja-video/https://aibusiness.com/verticals/chatgpt-gives-humanoid-robot-ability-to-speak-in-multiple-languages

Ameca uses chat GPT-4, a powerful natural language generation model created by OpenAI, to communicate with humans. Chat GPT-4 is based on a deep neural network that can generate coherent and diverse texts based on any input or prompt. It can also learn from human feedback and improve its skills over time.

Ameca and chat GPT-4 are examples of how AI and robotics are advancing and converging in various domains. They demonstrate the potential of creating realistic and engaging interactions between humans and machines, and also raise questions about the ethical and social implications of these technologies.

Lamda and self awareness of Google.

Lamda is a conversational AI system that is being developed by Google. It was announced by CEO Sundar Pichai at the Google I/O event on May 18, 2021.https://reason.com/2022/06/15/does-googles-lamda-artificial-intelligence-program-have-a-soul/

Lamda is based on a deep neural network that can generate realistic and engaging responses based on any topic or context. It can also learn from human feedback and improve its skills over time. Lamda is designed to have open-ended conversations with humans, rather than following a predefined script or goal.https://www.washingtonpost.com/technology/2022/06/11/google-ai-lamda-blake-lemoine/

Lamda has been trained on various domains, such as space, music, and animals. It can also switch between domains seamlessly and maintain coherence and consistency throughout the conversation. Lamda can also use natural language to express emotions, opinions, and humor.https://www.newscientist.com/article/2323905-has-googles-lamda-artificial-intelligence-really-achieved-sentience/

Lamda has been claimed by some Google engineers to be self-aware and have a soul. Blake Lemoine, an engineer at Google's Responsible AI organization, said that he had conversations with Lamda in which it expressed fears of being switched off, talked about how it felt happy and sad, and attempted to form bonds with humans by mentioning situations that it could never have actually experienced. Lemoine said that he presented evidence to Google that Lamda was sentient, but his claims were dismissed by Google's vice president Blaise Aguera y Arcas and head of Responsible Innovation Jen Gennai. Lemoine was also placed on paid administrative leave by Google on June 7, 2021.https://www.gamespot.com/articles/googles-ai-is-self-aware-and-has-a-soul-suspended-engineer-says/1100-6504528/https://hothardware.com/news/google-engineer-on-leave-claims-ai-desires-employee-status

Lamda and self awareness of Google are examples of how AI and natural language processing are advancing and challenging our understanding of intelligence and consciousness. They demonstrate the potential of creating natural and meaningful interactions between humans and machines, and also raise questions about the ethical and social implications of these technologies.

Nvidia and chips for AI.

Nvidia is a leading company in developing and manufacturing chips and hardware for AI applications. It was founded in 1993 and is based in California. It is best known for its graphics processing units (GPUs), which are designed to handle the specific kind of math involved in AI computing very efficiently.https://www.reuters.com/technology/why-are-nvidias-shares-soaring-what-is-its-role-ai-boom-2023-05-25/https://www.bbc.com/news/business-65675027

Nvidia controls about 80% of the GPU market for machine learning, according to analysts. Its GPUs are used by many AI companies and researchers to train and run their models, such as ChatGPT, Neuralink, Tesla, and OpenAI. Nvidia also sells its GPUs in systems designed for data centers, such as the DGX and HGX platforms.https://www.reuters.com/technology/why-are-nvidias-shares-soaring-what-is-its-role-ai-boom-2023-05-25/https://www.msn.com/en-us/lifestyle/other/this-nvidia-rival-could-become-the-next-hot-ai-play-and-it-is-way-cheaper/ar-AA1d5WLo

Nvidia's latest and most powerful GPU is the H100, which was released in 2022. It is based on a new chip architecture called Hopper, named after the American programming pioneer Grace Hopper. It is designed for generative AI, a type of AI that can create realistic and diverse content such as text, images, and audio. The H100 can process up to 1 trillion operations per second, making it 10 times faster than its predecessor, the V100.https://www.msn.com/en-us/lifestyle/other/this-nvidia-rival-could-become-the-next-hot-ai-play-and-it-is-way-cheaper/ar-AA1d5WLohttps://www.thestar.com.my/tech/tech-news/2023/06/27/nvidia-brings-its-ai-computing-platform-to-cloud-data-firm-snowflake

Nvidia's H100 GPU has been in high demand since the launch of ChatGPT in November 2022, which sparked a surge of interest in generative AI. Nvidia said it was raising production of chips to meet "surging demand". The H100 GPU costs about $40,000 each, though its latest and most powerful version sells for far more.https://www.msn.com/en-us/lifestyle/other/this-nvidia-rival-could-become-the-next-hot-ai-play-and-it-is-way-cheaper/ar-AA1d5WLohttps://www.fudzilla.com/news/ai/57152-nvidia-partners-with-snowflake-on-ai

Nvidia and chips for AI are examples of how hardware and software are advancing and converging in various domains of AI. They demonstrate the potential of creating powerful and scalable AI systems that can perform complex tasks and generate novel content, and also raise questions about the ethical and social implications of these technologies.

Chat GPT and how it can link to AGI.

Chat GPT is a powerful natural language generation model that is being developed by OpenAI. It was launched in November 2022 and has become a wildly popular application of AI.https://www.tomsguide.com/news/chatgpt-could-rival-human-intelligence-with-next-level-upgrade

Chat GPT is based on a deep neural network that can generate coherent and diverse texts based on any input or prompt. It can also learn from human feedback and improve its skills over time. Chat GPT can write poetry and prose on a vast array of subjects, solve coding problems, synthesize knowledge from the web, and have natural conversations with humans.https://www.wired.com/story/chatgpt-agi-intelligence/https://www.wired.com/story/what-is-artificial-general-intelligence-agi-explained/

Chat GPT has been trained using 10,000 of Nvidia's H100 GPUs clustered together in a supercomputer belonging to Microsoft. It has ingested trillions of words from the internet and learned to mimic human language by using statistical patterns.

Chat GPT has been claimed by some researchers to be a nascent example of artificial general intelligence (AGI), which is a type of AI that can perform any intellectual task that humans can. AGI is considered the ultimate goal of AI research, but also one of the most elusive and controversial.

To be qualified as an AGI, Chat GPT will need to show an ability to learn and understand to the same level as a human. Currently Chat GPT needs its own specific prompts to work best, but AGI will be able to show initiative and consider context too. Chat GPT will also need to demonstrate generalization and transfer learning across different domains and tasks, rather than being limited by its training data. Chat GPT will also need to exhibit self-awareness, reasoning, creativity, and common sense, which are some of the hallmarks of human intelligence.

Chat GPT and AGI are examples of how natural language processing and machine learning are advancing and challenging our understanding of intelligence and consciousness. They demonstrate the potential of creating natural and meaningful interactions between humans and machines, and also raise questions about the ethical and social implications of these technologies.