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9 November v 2.75 2 pm
Artificial intelligence (AI) is a branch of computer science that deals with the goal of creating intelligent machines and systems capable of decision-making, reasoning, learning and acting on their own.
Philanthropists, wanted and needed for the advancement of artificial intelligence and simultaneous, harmless-to-humanity protections.
If you think of AI as a mountain to be scaled, reportedly, we’ve successfully reached basecamp in the first stage of the climb.
As we gaze up to the peak — assuming there is one! — a navigable path to the future stages of AI is complicated.
Artificial Narrow Intelligence (ANI): Also known as “weak” AI, this stage of maturity encompasses all existing AI models created to date.
Artificial General Intelligence (AGI):
Reportly, yet to be achieved, this theoretical stage of AI maturity would involve the ability to closely mimic the complexity of human thought. An example would be a machine that can fluidly learn, adapt, perceive and understand the world around it in the same versatile, multifaceted ways we humans do.
Artificial Super Intelligence (ASI): This hypothetical peak of maturity will be reached if and when an AI develops self-aware cognitive and thinking abilities; when its intelligence — including the ability to think in abstractions — surpasses that of the smartest humans across a broad range of subject matters and capabilities.
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Tesla Semi Truck, artificial Intelligence (AI) with driver, passive driver and without driver fully autonomously potentially.
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Article Tesla FSD
Tesla seems to be delivering its vehicles with the Full Self-Driving (FSD) beta pre-installed, according to new reports.
On Saturday, X (formerly Twitter) account WholeMarsBlog posted that Tesla was delivering cars with the FSD beta installed “out of the box,” meaning that buyers of the software would no longer need to wait to download an update after purchasing the add-on. Instead, users who purchase FSD or transfer it from a different vehicle will see it effectively “switched on” without having to wait.
In the past, those purchasing FSD have had to download a software update to install the beta, often having to wait several weeks for the new update to arrive. However, it appears that this is no longer the case, and FSD will now become available as soon as you make your purchase.
One user in the thread noted that a software update wasn’t required when utilizing Tesla’s one-time FSD transfer to new vehicles, saying that the feature was already turned on in the new vehicle when he got it around five weeks ago. As another user points out, the software being pre-installed also means that Tesla has shifted to a single-build release for its cars.
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WholeMarsBlog notes that the news is a pretty big deal, and it could relate to Tesla’s future plans to unveil the FSD system’s next version
In April, Musk said Tesla would reach full autonomy by the end of this year, though he has been known to make overly ambitious claims in the past about the development speed of FSD. Musk has also said that the upcoming FSD v12 will no longer be beta and a massive overhaul in functionality is expected with the version’s forthcoming release.
In August, Musk also live-streamed his experience using FSD v12 on X as the car drove him around Palo Alto, California.
The news of FSD being pre-installed comes on the last day of Tesla’s temporary offer to let customers transfer the FSD beta to a different car, so long as they take delivery by September 30. Although it’s the final day of the offer, reports suggest that Tesla may offer leniency to those who place their orders by this date, offering extensions to anyone who makes “an honest effort to take delivery” by the end of the month.
Updates on the FSD beta’s recent developments were detailed earlier this month in excerpts leading up to the release of Walter Isaacson’s biography of Tesla CEO Elon Musk and in the book itself. Isaacson notes Tesla’s shift away from a “rules-based” approach with FSD, instead opting for a network-path-based one relying more heavily on training the system’s neural network with real-world footage from drivers.
Article
July 25, 2023
What is Artificial Intelligence?
Learn the basics of artificial intelligence and large language models, including a brief history, benefits and key business applications.
Artificial intelligence (AI) is a branch of computer science that deals with the goal of creating intelligent machines and systems capable of decision-making, reasoning, learning and acting on their own.
Instead of a standalone technology, AI relies on an array of high-performance architectures to function. This technology stack includes hardware and software components spanning automation and orchestration, high-performance computing, high-performance storage, and high-performance networking.
This purpose-built infrastructure supports the most common AI-driven technologies in use today, such as machine learning (ML) and deep learning (DL), natural language processing (NLP), large language models (LLMs) and generative AI, computer vision, evolutionary computation, robotics and robotic process automation (RPA), speech and pattern recognition, cognitive computing, expert systems, augmented reality, biometrics, facial recognition and more.
A mature and coherent data strategy is likewise important as the success of any AI/ML program or product ultimately comes down to a question of data quality.
3 notional stages of AI maturity
We can categorize AI maturity into three stages based on current capabilities and theoretical future advancements.
If you think of AI as a mountain to be scaled, we’ve successfully reached basecamp in the first stage of our climb.
As we gaze up to the peak — assuming there is one! — a navigable path to the future stages of AI maturity remains very much clouded. Our ability to understand and overcome the engineering and philosophical challenges that litter this rocky terrain continues to be a topic of debate in academic circles and AI research and development (R&D) teams.
The three stages of AI maturity are:
Artificial Narrow Intelligence (ANI): Also known as “weak” AI, this stage of maturity encompasses all existing AI models created to date. The learning algorithms used in these systems are designed to autonomously perform specific functions and are unable to do more than one narrowly defined task without human intervention. When we talk about AI applications in business, we’re always talking about ANI.
Artificial General Intelligence (AGI): Yet to be achieved, this theoretical stage of AI maturity would involve the ability to closely mimic the complexity of human thought. An example would be a machine that can fluidly learn, adapt, perceive and understand the world around it in the same versatile, multifaceted ways we humans do.
Artificial Super Intelligence (ASI): This hypothetical peak of maturity will be reached if and when an AI develops self-aware cognitive and thinking abilities; when its intelligence — including the ability to think in abstractions — surpasses that of the smartest humans across a broad range of subject matters and capabilities.
Organizations across industries are applying ANI to a wide range of problems, including game playing, medical diagnosis, speech recognition, content generation, visual indexing and generation, translation and much more.
Recent advances in large language models (LLMs) and generative AI (GenAI) have moved ANI closer than ever to mimicking human intelligence and complex decision-making.
With all the excitement generated by LLMs and GenAI, you may be asking where these AI advancements came from.
part 2
As Moore’s law played out and compute power continued to grow at exponential rates, the millennium ushered in a new era of neural networks.
Built to mimic the intricate networking of the human brain, these models could capture the semantics of a dataset while predicting the next word in a sequence.
Still, neural networks were limited in terms of the ability to make associations and use long-term memory.
Part 3
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Who warned against AI?
In a Senate testimony after the meeting, Mr. Altman warned that the risks of advanced A.I. systems were serious enough to warrant government intervention and called for regulation of A.I. for its potential harms.May 30, 2023