Post by ryglo739 on Mar 16, 2024 13:56:39 GMT 8
Even recalling and then finding themselves fully subject to rules deduced from the old world, such as the banal but sacrosanct distinction between spontaneous information and sponsored content. They are indications of a common matrix. In my opinion, therefore, these contrasting worlds are better understood if we think of all systems as systems of influence. This helps us understand them in a single, dynamic logic, uniting all the other subjects within the same equation. The friend from elementary school, the cousin who is passionate about electronics, the colleague who follows fashion, they are all influencers. This is the real "network", not equal but not top-down either. The way is open to make the vision more complex, developing typologies, distinguishing the operating mechanisms, etc. For example (I'll throw it out there) the first law of influencer dynamics could be: the degree of influence is inversely proportional to the distance and directly.
And here I stop. Artificial intelligence After conception, childhood and DX Leads adolescence, AI systems begin to roam the world and companies learn how to govern them to manage the enormous volume of content available, excessive for any form of traditional management. There are critical thresholds for each of these technologies. Below threshold, they generate more confusion than anything else. Above the threshold, they become useful if not indispensable, even if imperfect. These systems are extremely weak when judgment, understanding of the context, exercise of superior skills (including irony...) are required. In this sense they cannot replace the human. But if intelligently inserted into a process that also includes supervision, they can produce transformative effects and manage otherwise unmanageable problems.
In fact, what is happening month after month is that more and more of these applications surpass the critical threshold and become marketable. They can be used profitably and change the way we handle problems and work. The giants (Google, Amazon, Microsoft) then make them available in APIs that make them accessible to anyone, democratizing access to AI. It is the so-called API economy, which lowers access barriers and facilitates adoption by reducing diffusion times. Entity Extraction, Speech recognition, Clustering, Abstracting, Logo/Face recognition, advanced Sentiment Analysis (e.g. emotional) are all applications already available and used to measure large amounts of content.
And here I stop. Artificial intelligence After conception, childhood and DX Leads adolescence, AI systems begin to roam the world and companies learn how to govern them to manage the enormous volume of content available, excessive for any form of traditional management. There are critical thresholds for each of these technologies. Below threshold, they generate more confusion than anything else. Above the threshold, they become useful if not indispensable, even if imperfect. These systems are extremely weak when judgment, understanding of the context, exercise of superior skills (including irony...) are required. In this sense they cannot replace the human. But if intelligently inserted into a process that also includes supervision, they can produce transformative effects and manage otherwise unmanageable problems.
In fact, what is happening month after month is that more and more of these applications surpass the critical threshold and become marketable. They can be used profitably and change the way we handle problems and work. The giants (Google, Amazon, Microsoft) then make them available in APIs that make them accessible to anyone, democratizing access to AI. It is the so-called API economy, which lowers access barriers and facilitates adoption by reducing diffusion times. Entity Extraction, Speech recognition, Clustering, Abstracting, Logo/Face recognition, advanced Sentiment Analysis (e.g. emotional) are all applications already available and used to measure large amounts of content.