In almost every interview with one of the leading AI technical giants, you hear their team, usually CEO, talk about how the company conducts Artificial General Intelligence (AGI). Then they usually say something about how AGI is much closer to delivered than we think.
But what is actually artificial general intelligence, and is it really an innovation that comes up in the pipeline or simply a phrase designed to generate buzz and raise more money?
What is artificial intelligence?
Artificial general intelligence, or agi, refers to an artificial intelligence (AI) system that can perform any intellectual task that a human can do.
You might tell yourself: “But it sounds a lot like what AI models can currently do. “There are some qualifications, and even some truth, to that idea. Today’s AI systemAs most people call “narrow AI”: artificial intelligence designed to perform specific tasks or a limited number of functions. AI chatbots Fall in the category Smal AI.
Slim AI actually does not understand what is happening. It is just very good at recognizing patterns in large data methods, which it uses to produce outputs that seem intelligent. Behind the scenes, no understanding or reasoning is done, only data analysis, pattern matching and predict the next word sequence based on the patterns it has learned from the massive data methods on which it was trained.
On the other hand, artificial general intelligence is supposed to be similar to human intelligence in more detail in how it is reason, learning and adapting. It is supposed to have a deeper level of understanding and the ability to use it for a number of tasks and situations, even those in which it has never seen or trained, similar to human thinking on their feet.
In perspective, narrow AI is as an autopilot that can follow a programmed route but becomes confused if something unexpected happens. Agi would be like having a fully trained driver behind the steering wheel who can drive anywhere, adapt to the weather and improvise with everything they know.
The benefits of AGI
Right now, AI platforms still need a person somewhere in the loop, urges AI, it provides rules, guidelines and directions and then makes corrections to the exits in the end and eventually gives an acceptable result. On the other hand, Agi does not require a human in the loop.
An AGI system could learn all the skills, “remember” that skill along with everything else it knows, and independently connect the dots between these skills and previous lessons to arrive at new conclusions.
People are hopeful that this means that AGI can unlock scientific and technical breakthroughs and lead to innovations at a much faster rate. Having AGI would essentially be like having a scientist who never sleeps, constantly generating and testing hypotheses. For many, it is the vision that makes Agi so convincing, and its supporters remain optimistic about what AI can do in the various industries that are derivatives of science, technology, mathematics and technology.
Agi Gold Rush: Billions spent on a product that you might never notice
Several technical giants pour billions into Agi. OuenaThe Google Deepmind (Nasdaq: Googl) and Meta (Nasdaq: Meta) has all made their intentions to achieve agi clear; But each one has a different timeline for when they think AGI will arrive. Some avoid making predictions altogether, while others suggest that it may be somewhere from a few years to a decade.
Although Agi has mostly been a background for the general conversation about AI and its capacity, I would invest in playing a larger, more frequent role in that conversation. For starters, I think it is because AI has plateau. Subjects, Promised Products and Buzzwords from the past are Losing its edge and fails to pick up traction. The industry needs something new and appealing to the world to stick to to keep the AI dream alive, and I feel that “something new” will be Agi.
In addition to qualitative speculation, there is no doubt that the promise to deliver AGI helps companies raise money, money they need in huge amounts to keep their AI operations going, Especially since the profits in this resource -intensive industry have remained difficult.
The biggest battle in the war against AI is fought on the “model” front. Everything else is the same, the one that has the best model has the best product and the best platform for consumers to use and developers to build on top. The first company that legitimate creates an AGI model will undoubtedly be the “winner” of the war, at least until other companies capture and have an Agi of their own who can compete for market shares.
But all this raises a crucial question: Although the breed to AGI is important at the technical level, will consumers actually feel the difference? I have a feeling that in most cases the answer is no. Many people will probably not be able to tell Smal AI apart from AGI unless Agi is manifested in any kind of hardware (like a lively robot) or a platform that is always on, which creates the feeling that it is basically another intelligent person in the room with them all the time who makes their presence known.
Even then, I suspect that consumers will encounter the same problems with new AI products. Many people just don’t know how to use them or How to get the most out of AI It is available to them, so the defaults to treat AI as a search engine, which is a use case that seems to be AI’s murderer -Appwith the most obvious route to revenue through advertising revenue.
The last limit to AI or another over -skinned AI promise?
This gives me back to the big question: Is Agi really the next and possibly the last limit for artificial intelligence? Or is it just the next chapter in AI marketing?
Grand Vision Tech Giants promises to deliver, the one who gets investors happy to open their checkbooks, but as consumers, which they have with other over -promised AI products (think AI agents), does not actually require, would not know how to use effectively and in the end will not be able to distinguish from the systems they already have?
It’s too early to know. No company has achieved AGI yet, and the conversations about how it will affect consumers have not started either. But as time goes by, Agi will either be materialized, otherwise we will realize that AGI is yet another reclassification of neural networks, machine learning and generative AI that keeps the money flowing into the collection rounds from technical giants and keeps the AI dream alive.
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Look: Artificial intelligence needs blockchain
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