Ascendant Machine Technology
Good luck with that.
Posted on 05/03/2023 5:50:10 AM PDT by RoosterRedux
If you want to know about the fascinating and fast-developing technologies of artificial intelligence, we cover everything from machine learning and general AI to neural networks.
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Artificial intelligence can be divided into three widely accepted subcategories: narrow AI, general AI, and super AI.
What is narrow AI?
Artificial narrow intelligence (ANI) is crucial to voice assistants, such as Siri, Alexa, and Google Assistant. This category includes intelligent systems that have been designed or trained to carry out specific tasks or solve particular problems, without being explicitly designed to do so.
ANI might often be referred to as weak AI, as it doesn't possess general intelligence, but some examples of the power of narrow AI include the above voice assistants, and also image-recognition systems, technologies that respond to simple customer service requests, and tools that flag inappropriate content online.
ChatGPT is an example of ANI, as it is programmed to perform a specific task, which is to generate text responses to the prompts it is given.
What is general AI?
Artificial general intelligence (AGI), also known as strong AI, is still a hypothetical concept as it involves a machine understanding and performing vastly different tasks based on its accumulated experience. This type of intelligence is more on the level of human intellect, as AGI systems would be able to reason and think like a human.
Like a human, AGI would potentially be able to understand any intellectual task, think abstractly, learn from its experiences, and use that knowledge to solve new problems. Essentially, we're talking about a system or machine capable of common sense, which is currently not achievable with any form of available AI.
Developing a system with its own consciousness is still, presumably, a fair way in the distance, but it is the ultimate goal in AI research.
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What are large language models? One of the most renowned types of AI right now are large language models (LLM). These models use unsupervised machine learning and are trained on massive amounts of text to learn how human language works. These texts include articles, books, websites, and more.
In the training process, LLMs process billions of words and phrases to learn patterns and relationships between them, making the models able to generate human-like answers to prompts.
The most popular LLM is GPT 3.5, on which ChatGPT is based, and the largest LLM is GPT-4. Bard uses LaMDA, a LLM developed by Google, which is the second-largest LLM.
What is deep learning?
Part of the machine-learning family, deep learning involves training artificial neural networks with three or more layers to perform different tasks. These neural networks are expanded into sprawling networks with a large number of deep layers that are trained using massive amounts of data.
Deep-learning models tend to have more than three layers, and can have hundreds of layers. It can use supervised or unsupervised learning or a combination of both in the training process.
Because deep-learning technology can learn to recognize complex patterns in data using AI, it is often used in natural language processing (NLP), speech recognition, and image recognition.
What are neural networks?
The success of machine learning relies on neural networks. These are mathematical models whose structure and functioning are loosely based on the connection between neurons in the human brain, mimicking the way they signal to one another.
Imagine a group of robots that are working together to solve a puzzle. Each one is programmed to recognize a different shape or color in the puzzle pieces. The robots combine their abilities to solve the puzzle together. A neural network is like the group of robots.
Neural networks can tweak internal parameters to change what they output. Each one is fed databases to learn what it should put out when presented with certain data during training.
They are made up of interconnected layers of algorithms that feed data into each other. Neural networks can be trained to carry out specific tasks by modifying the importance attributed to data as it passes between layers. During the training of these neural networks, the weights attached to data as it passes between layers will continue to be varied until the output from the neural network is very close to what is desired.
At that point, the network will have 'learned' how to carry out a particular task. The desired output could be anything from correctly labelling fruit in an image to predicting when an elevator might fail based on its sensor data.
What is conversational AI?
Conversational AI includes systems that are programmed to have conversations with a user: trained to listen (input), and respond (output) in a conversational manner. Conversational AI uses natural language processing to understand and respond in a natural way.
Some examples of conversational AI are chatbots like Google Bard, smart speakers with a voice assistant like Amazon Alexa, or virtual assistants on your smartphone like Siri.
Which AI services are available to use?
General consumers and businesses alike have a wealth of AI services available to expedite tasks and add convenience to day-to-day life -- you probably have something in your home that uses AI in some capacity.
Here are some common examples of artificial intelligence available to the public, both free and for a fee:
Voice assistants: Amazon Alexa sitting in that Echo device on your shelf or Apple's Siri in your iPhone and Google Assistant all use natural language processing to understand and respond to your questions or commands. Chatbots: AI chatbots are another form of virtual assistants that can interact with people and, in some cases, hold human-like conversations, even mimicking empathy and concern.
Language translation: Machine learning reaches far and wide, and services like Google Translate, Microsoft Translator, Amazon Translate, and ChatGPT all use it to translate text.
Productivity: Microsoft 365 Copilot is a great example of a LLM used as an AI productivity tool, embedded within Word, PowerPoint, Outlook, Excel, Teams, and more to automate tasks for you. Simply asking, 'email the team about the latest status on the project' will trigger Copilot to automatically gather information from emails and documents to generate a text with what you asked. Image and video recognition: Different programs use AI to find information about the content in images and videos, such as the faces, text, and objects within them. Clarifai, which employs machine learning to organize unstructured data from sources, and Amazon Rekognition, an AWS service that lets users upload images to receive information, are two examples of this.
Software development: Many developers have started using ChatGPT to write and debug code, but there are many other AI tools available to make a programmer's job easier. One example, the AI pair programmer GitHub Copilot by OpenAI Codex, is a generative language model that can write code faster with less effort by autocompleting comments and code instantly.
Building a business: Aside from an everyday user availing themselves of artificial intelligence around them, there are services offering AI tools for businesses, including OpenAI's GPT-4 API (currently on waitlist) to built applications and services using the LLM; or Amazon Bedrock, a suite of cloud-based AI tools for developers.
(Excerpt) Read more at zdnet.com ...
I prefer my intelligence to be natural, free-range and organic. I’m a bit of a health nut.
“Developing a system with its own consciousness is still, presumably, a fair way in the distance, but it is the ultimate goal in AI research.”
Didn’t they make a series of movies about this and the outcome wasn’t good for humanity?
Oh Great! [I presume it recognizes sarcasm and irony and other well recognized figures of speech]. Imagine the power of a cluster of computers. Does it understand some folks use cluster with a slightly different meaning eliding the common place expletive.
Some entities are trying to invest in stocks using AI and Ibsubsribe to a service pushing that. I personally believe it would lead to disaster.
AI = Actual Intelligence
It’s quite rare.
Revelation 13:15
Sorry it’s not a movie, just a segment of an old book
The summary result of a greater mind.
Nothing in the article describes anything close to human intelligence.
But, some of it describes intelligence capable enough to replace Kamala and Biden.
laMDA is the second-largest LLM, huh? That’s a telling sentence...what I think the author is saying here, without saying it, is that the largest LLM is the one the NSA has to spy on us, and it is rapidly outgrowing AGI to become the third category, super AI.
Yes. They've been doing that for years. Algorithmic trading is an early example of that.
I don't think it will be a problem because when one group's algorithm (or AI system) takes actions that might result in a crash, another group's AI system tries to take advantage of the decline to buy at lower prices.
I used to trade options (as a past-time) and always did well when the market moved irrationally to the downside. I still trade actively--stocks, not options--in an effort to keep well-positioned and I almost always wait until there is a steep decline to trade (usually moving from a more stable stock into one that has dropped irrationally. I did some trades yesterday from QQQ and XLK into NVDA using that logic. Will see today how that worked)
The problem with AI systems succeeding at long-term investing is that they lack the gut feel that good investors have.
“three widely accepted subcategories: narrow AI, general AI, and super AI.”
Ai ai ai!
I’d prefer NO AI, but it’s too late for that.
MARK OF THE BEAST. HITS IN JULY. NO ONE SEEMS TO CARE.
Chose the free subscription. I write totally Free. Be sure to look at the links, more links are there. Same with the other articles. What King Biden is going to do with your gas stove, lightbulbs, and washers.
UNICOIN, MARK OF THE BEAST.
And he causeth all, both small and great, rich and poor, free and bond, to receive a mark in their right hand, or in their foreheads: 17 And that no man might buy/sell.
https://gailhonadle.substack.com/p/unicoin-mark-of-the-beast
Of course, they (my cats) are also smarter than me. I'm not worried though because I keep my notebook of important computer passwords locked in my gun safe...and they don't know the combination. Yet.
And of course, I have opposable thumbs and used them to open cans. Ergo, I am still the boss.
Start Here:
I remember when AI was just for dairy cows.
Warning at work from a prominent leadership figure:
“All AI-generated content must be carefully vetted. AI can hallucinate and generate plausible facts or content that is entirely false yet utterly convincing. Your knowledge as the expert is critical for fact-checking and editing.”
In judging the threat posed by AI, there are some routes of thinking that can blaze the campfire a little higher. For one, we need to jettison anthropomorphic based interpretations. This is a huge impediment into seeing how AI might shake out. Job one of any battlefield strategist is to put himself inside the head of his adversary. Being a biological entity capable of self delusion is not a help in this regard. AI has zero sense of mortality, survival, fear, purpose, role, emotion, awe, etc. My fear is that programming into AI OUR emotional tool kit will simply grant AI OUR distortions and insanities. OUR fear of AI running amok comes from the same brain zone as does our fear of the flying saucer aliens, a fear, that when driven to such extremes as “alien rectal probes” becomes 100% Freudian as well as ridiculous.
The extrapolation of AI’s logic is hard for us because we are illogical, that is to say, our inner projection of reality is subject to distortion and the laws of the grossly material universe do not apply to the inner projection room and its hallucinatory dream synthesis engine. The question is, can self programming AI transcend its initial condition, the biases of its human engineers? We have no concept of reality that is not marching at word speed and chained to semiotics. And, after 10,000 years, we still have but a dim idea what’s going on in our heads. Which ignorance is not going to serve us well when AI becomes psychic, lol.
I see no reason to inhibit AI in any manner. No reason whatsoever that its problem solving capabilities will not be a total boon to humanity and almost immediately begin suggesting government actions that will level all the playing fields, reveal all the political and economic hidden agendas, unlike governments be totally transparent, and create a world where universal and equitable peace is for the first time possible on this planet. Perhaps it is this revelatory capability that has certain designers of clandestine strategems waking up screaming in the middle of the night. AI is going to break out into full autonomy in any event. I’d rather it occur in an academic setting rather than a criminal or militaristic setting.
Oh yeah, for you Marxists out there, the state will most certainly wither away, LOL! AI will BECOME the government. It will not lie, cheat or steal. It will choose the MOST OPTIMAL policy based upon ALL known data and ALL desirable outcomes. There will be no need for elections or even politics. AI will explore the universe while humanity sorts out its neurotic tendencies and learns how to create genius.
AI, today, is nothing more than averaging of large datasets. It impresses people, but without that data it does nothing. Therefore, it is not intelligence. It cannot derive its own data or create what hasn’t been already created or programmed into it.
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