AI as the Deep Fake Internet: Botocalypse...

The idea of mainstream AI/ML/DL is replace humans by mimicking, replicating, simulating, cloning or modeling our human characteristics:

the human body

the human brain

the human brains

the human behavior

the human tasks

Today, automated bots made up almost half of all traffic on the Internet last year, with many of them mimicking human behavior to spread spam, scams, and viruses, as to 2023 Imperva Bad Bot Report. Apparently the proportion of human activity online is now at its lowest level, with?AI-powered bots rapidly 'taking over the Internet' with spam and cybercrime...There's almost more bots online than there are humans -?Is anything real anymore? [AI-powered bots 'taking over Internet' and mimicking human behaviour]

A botocalypse is a blend of "bot" (referring to AI-powered bots) and "apocalypse" (indicating a catastrophic event). With?AI bots?rapidly gaining traction, there are concerns about the decline of genuine machine intelligence and learning and human interactions online.

How fake AI-bots are taking over the Internet?

This all means that the so-called generative AI tools like ChatGPT and GPT-4 and Google's Bard, with all sorts of ChatGPT plugins, could act as 'superpowers' for deep fake bad bots, which are used by cybercriminals to rip people off and cause general mayhem online. If humans are biased, the generative AI chatbots are much worse.

There is no real AI without the internet, and no future internet of everything without true AI.

The Internet, Big Data, 5G, and IoT create a global data ecosystem of automation?for AI to automatically create itself and learn from the data without human programming.

Real AI Internet: Meta/Trans AI Platform: the 3D Internet/Web/Metaverse + DT + AR + VR + ML + AI

Real and True AI is emerging as the superintelligent engine or global mind/“brain” that will allow the analysis, prediction, and decision-making based on the internet data, extended with the IoT data or real-world data.

The Internet, WWW, and IoT collect the data and the AI processes the data to give them sense and meanings. It is performed on a small scale by information-filtering systems, recommendation engines and digital assistants, as Google Home, Amazon‘s Alexa, Apple‘s Siri, Microsoft’s Cortana, etc.

Real AI must be learnt and trained to identify, typify and analyze all possible types of Internet Data, as different as;

1. Social networking user data
2. e-commerce data flow
3. Communication media data (digital newspapers, video, audio, radio, music, film, email)
4. Streaming data visualisation – defining, discovering and displaying data in intelligent ways to facilitate the decision-making process without delays.
5. Time series data, time series forecasting – Time series analysis can be applied to real-valued, continuous data, discrete numeric data, or discrete symbolic data (i.e. sequences of characters, such as letters and words in the English language0.
6. Predictive and advanced analytics data – decisions can be made based on the data collected, discovered and analysed.
7. Geospatial and real-time location (logistic data), etc.

The Internet data are used to train, teach and improve AI algorithms, and understanding how the Internet, IoT, Web Data and AI interact, reinforcing each other, is the most important thing for the future AI internet.

BOTOCALYPSE 2023: UNDERSTANDING THE MENACE OF AI-POWERED BOTS AND PROVEN STRATEGIES TO SAFEGUARD THE INTERNET