The video explores the theoretical concept of Artificial Super Intelligence (ASI), detailing its potential possibilities and challenges. Although ASI is not currently available, it represents a system far surpassing human intelligence, akin to a hyper-intelligent entity capable of analyzing vast amounts of data. The speaker introduces ASI by describing the current state of Artificial Narrow Intelligence (ANI) and the goal of Artificial General Intelligence (AGI), laying the groundwork for understanding ASI’s future impact.

The importance of different technological advances for achieving ASI, such as more sophisticated neural networks, neuromorphic computing, and evolutionary computing, is examined. These technologies provide the building blocks for envisioning ASI. Despite ASI's potential to address complex global issues, such as improved decision-making in health, finance, and scientific discovery, the video stresses the need for responsible development to avoid pitfalls.

Main takeaways from the video:

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Key Vocabularies and Common Phrases:

1. inexhaustible [ˌɪnɪɡˈzɔːstəbl] - (adjective) - Impossible to use up because it exists in abundance. - Synonyms: (limitless, boundless, endless)

In essence, an ASI would be an inexhaustible, hyper intelligent super being...

2. feasibility [fiːzəˈbɪlɪti] - (noun) - The practicality or possibility of something being accomplished or realized. - Synonyms: (practicability, viability, possibility)

Well, is that even possible? You know what? That is a very good question. Is asi possible? Well, let's see. Not all thinkers are aligned on the feasibility of something like an ASI.

3. precursor [priːˈkɜːrsər] - (noun) - A thing that comes before another of the same kind; a forerunner. - Synonyms: (forerunner, predecessor, antecedent)

Now, today, we do have a number of precursors to ASI generative AI that demonstrates the increasing sophistication...

4. neuromorphic [ˌnʊəroʊˈmɔːrfɪk] - (adjective) - Related to hardware systems that mimic the neural and synaptic structures of the human brain. - Synonyms: (brain-like, neural-inspired, synaptic)

This is called neuromorphic computing. Now, neuromorphic computing are hardware systems inspired by the neural and syntactic structures of our human brain.

5. cognitive [ˈkɒɡnɪtɪv] - (adjective) - Relating to mental processes of perception, memory, judgment, and reasoning. - Synonyms: (intellectual, mental, thought-related)

If AGI can match the capabilities of human experts across all cognitive tasks, ASI goes the next step...

6. multisensory [ˌmʌltɪˈsɛnsəri] - (adjective) - Involving multiple senses or sensory modalities. - Synonyms: (sensory-rich, multisensual, cross-sensory)

Another building block is multisensory aihdenhe, and that would enable the ASI to process and interpret multiple types of data inputs...

7. algorithmic optimization [ˌælɡəˈrɪðmɪk ˌɒptɪmaɪˈzeɪʃən] - (noun phrase) - Process of adjusting algorithms to improve their efficiency and effectiveness. - Synonyms: (algorithm enhancement, computational improvement, algorithm configuration)

And evolutionary computing is a form of algorithmic optimization inspired by biological evolution.

8. existential [ˌɛɡzɪˈstɛnʃəl] - (adjective) - Relating to existence, especially human existence. - Synonyms: (life-threatening, survival-related, pertaining to existence)

Now one teeny tiny risk is existential.

9. exasperating [ɪɡˈzæspəreɪtɪŋ] - (adjective) - Intensely irritating or frustrating. - Synonyms: (annoying, infuriating, frustrating)

...through ASI could lead to widespread unemployment, causing economic and social turmoil, exasperating existing inequalities...

10. dilemmas [dɪˈlɛmə] - (noun) - Situations in which difficult choices have to be made between two or more alternatives. - Synonyms: (predicaments, quandaries, conundrums)

Doing so could lead to ethical dilemmas and potentially harmful consequences...

What is Artificial Superintelligence (ASI)?

It's sometimes said that the last invention humanity will ever invent is artificial super intelligence, or ASI. The benefits of ASI are science fiction like in their implications. In essence, an ASI would be an inexhaustible, hyper intelligent super being with the ability to process and analyze any amounts of data in ways that we can't even comprehend yet. And if you're wondering, how do I sign up to join the waitlist for ASI access? Well, sorry to disappoint, but artificial superintelligence isn't here just yet. It's a hypothetical software based AI system more advanced than any human. So, let's take a look at ASI and see.

First of all, is it even possible, the benefits it might bring and the potential risks, if there are any? I mean, offhand, I can't think of any obvious drawbacks of an AI more advanced than every human alive. I'm sure it'll be fine. So, look, to illustrate how far off ASI is from this moment, it bears mentioning that the current level of AI is referred to as artificial narrow intelligence, or Ani. This is where we are today. Now, narrow AI excels at specific tasks, like playing chess or translating languages, but it cannot learn new skills or develop a deep understanding of the world. It relies on pre programmed algorithms and data and requires human intervention to operate. So that's where we are.

Now, the next immediate frontier is artificial general intelligence, AGI. Now, AGI can understand the world and learn and apply problem solving intelligence as broadly and flexibly as humans can. AGI would be capable of cross domain learning and reasoning with the ability to make connections across different fields. Now, true, AGI is yet to be developed. It's not here yet, but it is the stated goal of many leading AI organizations today. So, if AGI can match the capabilities of human experts across all cognitive tasks, ASI goes the next step, exceeding those expert human capabilities.

Well, is that even possible? You know what? That is a very good question. Is asi possible? Well, let's see. Not all thinkers are aligned on the feasibility of something like an ASI. Human brains are incredibly complex and capable of remarkable creativity, problem solving, and critical thinking. So, for ASI to be feasible, we're going to need a number of things. One of those is far more advanced learning algorithms. They'll need to be inspired by how the human brain learns to enable AI to improve its performance over time. This continual learning will allow AI to acquire knowledge and adapt to new situations without explicit programming.

Now, today, we do have a number of precursors to ASI generative AI that demonstrates the increasing sophistication of AI in understanding and responding to human language. Now, it's not sentient, but this ability to understand and respond to human language in a natural way is an important building block for achieving human level intelligence, and is a level of sophistication that seemed perhaps decades away just a few years ago, before the advent of the transformer architecture. So, assuming ASI might happen one day, let's talk about what some of the building blocks are to make it.

So, how can we build ASI? Well, this is speculation. This is not something that exists yet. But some of these building blocks are here today. So, for example, we already have large language models. ASI would require access to massive datasets to learn and develop an understanding of the world. And natural language processing in large language models will help ASI understand natural language and converse with humans. Another building block is multisensory aihdenhe, and that would enable the ASI to process and interpret multiple types of data inputs, so text, images, audio, video, that sort of stuff, to perform tasks and to make decisions. And we're also seeing big advancements today in multimodal AI models. So this building block is coming along.

Now, if we think about the neural network for the ASihe, the neural network would need to be far more complex and powerful and advanced than the systems of today, but we'd need some other advances as well. So just as neural networks are modeled on human brain operation, there's a new type of computing we might need to use here. This is called neuromorphic computing. Now, neuromorphic computing are hardware systems inspired by the neural and syntactic structures of our human brain. And alongside of that, we also have evolutionary computing as well, which may form a part of ASI. And evolutionary computing is a form of algorithmic optimization inspired by biological evolution. So, evolutionary algorithms solve problems by iteratively performing a.

By performing a population of candidate solutions, by mimicking effectively the process of natural selection. So all of these building blocks will prove to be important in ASI, and there's probably a whole bunch of other advances that we haven't even thought about yet. All right, let's wrap this up with a good old fashioned benefits and risk analysis for ASI.

Now, in the benefits column, I think we have to add decision making. So, AI ASI decision making will enable human agents to make the best possible decisions and solve the most complex problems facing things like healthcare, finance, scientific research, politics, and, well, really, every industry. Another one would be problem solving. Now, ASI advanced thinking could be enough to solve some of the most persistent medical puzzles, to develop life saving medicines and treatments, and unlock the mysteries of physics, and aid humanity's goal to exploring the stars. And then if we move a bit more down to earth, we also must consider error reduction. With its abilities to significantly reduce human errors, particularly in programming and risk management. ASI could write and debug programs and deploy robots to perform dangerous physical tasks that humans don't want to do, like bomb defusing or deep sea exploration.

And then I think we should also consider creativity as well. ASIS superior creativity and its ability to analyze vast amounts of data might lead to solutions humans cant even imagine, resulting in hopefully better quality of life, and perhaps even a prolonged quality of life at that. You know, this sounds awesome. I really am looking forward to signing up to this waitlist, but perhaps we should take a balanced view of ASI by considering the risks.

Now one teeny tiny risk is existential. Yeah, a core worry is that ASI could surpass human control and become self aware, potentially leading to unforeseen circumstances. Its superior cognitive abilities could allow it to manipulate systems or even gain control of automated weapons. It seems like that would be bad. Another one is automation. Now what I mean by that is automation through ASI could lead to widespread unemployment, causing economic and social turmoil, exasperating existing inequalities, and disrupting entire industries.

Yeah, on a roll here. Let's go to ethics. So ethics come into play here. Simply programming ASI with human ethics and morality is complex, since there is no universally agreed upon set of moral codes. Doing so could lead to ethical dilemmas and potentially harmful consequences, especially if ASI begins to operate outside of human control. And yes, as for goals, an ASI could pursue goals that are basically detrimental to humanity, although they might seem beneficial on the surface. But without proper interventions, its advanced systems might not align with our human values.

Theres basically a lot that could go wrong here. So this is ASI. The potential impact is immense, with the potential to revolutionize various aspects of human life. But AI researchers, computer scientists and world governments must carefully consider the potential benefits and risks of ASI to ensure that this transformative technology is used responsibly and ethically for the betterment of humanity, assuming, of course, that ASI ever arrives at all.

Artificial Intelligence, Technology, Science, Artificial Super Intelligence, Neural Networks, Ethics, Ibm Technology