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"Veritas est adaequatio rei et intellectus" ("Truth is the adequation of things and intellect") Th. Aquinas
Reality vs. Falsity, Truth vs. Post-truth
Truth [AI] is what interrelates representations (data and information, learning and knowledge, concepts and ideas, thoughts and inferences, models and theories, observations and simulations, statements and sentences) with the world of reality, its things and facts, states of affairs, events and processes in terms of causal interrelationships.
Or, the truth or the falsity of something is determined by how it relates to a reality; that is, by whether it is true of false of that reality. As Aristotle claims in Metaphysics: "To say that that which is, is not, and that which is not, is, is a falsehood; therefore, to say that which is, is, and that which is not, is not, is true".
Post-truth (PT) or post-reality (PR) is what comes after truth and reality, as inventing and mixing various types of truth, as objective, normative, subjective or composite.
- Objective Truth is what exists in reality and can be proved experimentally
- Normative Truth is what we, as a group, community, nation or society, agree is true
- Subjective Truth is how an individual sees or experiences the world, having its own subjective realities.
It is when "objective facts are less influential in shaping public opinion than appeals to emotion and personal belief".
There are all sorts and kinds of PTs in the PR world:
PT politics
PT economics
PT society
PT science
PT technology
PT media
PT environment
PT wars (hybrid, cybernetic)
PT realities (digital realities, augmented reality (AR), virtual reality (VR) and mixed, or extended reality (XR))
PR digital world, the metaverse – the immersive 3D internet where all life and commerce, education and social interactions are projected to take place
PR cyber-physical world, Trans-AI Reality
The PT mentality has developed all sorts of constructions, "post-truth politics", "post-factual politics", "post-reality politics", "post-truth political environment", "post-truth world", "post-truth era", "post-truth society", "post-fact society", "post-truth presidency", etc.
Generative AI as a PR Technology
The phenomenon of post-truth is specifically concerned with 21st century information and communication technologies, its leading emerging technologies, as artificial intelligence, machine learning and deep learning.
Advancements in statistical machine learning and stochastic narrow/weak artificial intelligence (NAI) and cloud computing technologies, GPU VMs (Graphic Processing Units Virtual Machines) and Platform Services, have enabled the sophistication of audio, video, and image manipulation techniques with speed and ease .
Any scenarios, fake, made up, and not actual, can be made real by AI-generated synthetic media, as part of the so-called generative AI, deepfakes ML/DL technologies.
Generative AI is a post-reality technology to create fake/false/irresponsible/amoral/unreliable/toxic/wild content (text, images, video, audio, code or synthetic data) due to its defective design model from scraping the internet data sets to train their generative models.
Therefore, the term generative AI is often associated with ChatGPT and deep fakes technologies, initially used to automate the repetitive processes in digital image correction and digital audio correction. This includes learning algorithms that make predictions as well as using prompts to blindly/autonomously produce articles and paint pictures.
ChatGPT is built on a large language model (LLM) called GPT-3 (Generative Pre-trained Transformer). It makes a type of deep NNs that uses billions of parameters and is trained with petabytes of data by scraping the internet (Web scraping, Web data extraction, screen scraping or Web harvesting) without paying web publishers and data owners. It was trained on massive amounts of unlabeled data illegally scraped from the internet before 2022, with toxic datasets labeled and filtered by dirt-cheap labor from Africa and India .
NLP tasks ChatGPT include:
Providing answers to questions. Completing a given text or a phrase. Writing fiction and non-fiction content from prompts. Producing humanlike chatbot responses. Generating computer code. Translating text from one language to another. Performing calculations. Summarizing a given text. Classifying text into different categories. Analyzing text sentiment. Generating text that summarizes data in tables and spreadsheets. Responding to user input in a conversational manner.
As a PR technology, ChatGPT has all kinds of falsities and disadvantages :
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Provide Wrong Answers; Very Formal; Has Machine language; It is not Completely Trained; It is not Very Detailed; It is not a Human Expert; It just summarizes; It could be Monetized.
https://www.analyticsinsight.net/top-10-disadvantages-of-chatgpt-content/
As a result, LLMs are fundamentally unreliable at answering questions, sometimes generating false responses. This unreliability is integrated into LLMs. "ChatGPT and its competitors work by learning the statistical patterns of language in enormous databases of online text — including any untruths, biases or outmoded knowledge. When LLMs are then given prompts, say, to rewrite parts of manuscripts, they simply spit out, word by word, any way to continue the conversation that seems stylistically plausible.
The result is that LLMs easily produce errors and misleading information, particularly for technical topics that they might have had little data to train on. LLMs also can’t show the origins of their information; if asked to write an academic paper, they make up fictitious citations... Without output controls LLMs can easily be used to generate hate speech and spam, as well as racist, sexist and other harmful associations that might be implicit in their training data.
Besides directly producing toxic content, there are concerns that AI chatbots will embed historical biases or ideas about the world from their training data".
[What ChatGPT and generative AI mean for science ]
What is crucial, any LLMs know nothing about the world, being trained from the scratch, by the post-truth [biased and prejudiced] data, information and knowledge, lacking a systematic, comprehensive, consistent model of reality, the essence of any real intelligence, human or machine.
Popular PT AI Apps for Art
DeepDream Generator - An open-source platform that uses deep learning algorithms to create surrealistic, dream-like images.
DALL·E2 - This AI model from OpenAI generates new images from text descriptions.
Pikazo - This mobile app uses AI filters to turn digital photos into paintings of various styles.
Artbreeder - This platform uses genetic algorithms and deep learning to create images of imaginary offspring.
Popular Post-Truth AI Apps for Writers
GPT-3 Playground - allows end users to interact with OpenAI's GPT-3 language model and generate text based on prompts the end user provides.
Write With Transformer - allows end users to use Hugging Face's transformer ML models to generate text, answer questions and complete sentences.
AI Dungeon - this online adventure game uses a generative language model to create unique storylines based on player choices.
Writesonic - this writing and image generation platform is a popular choice for ecommerce product description.
Popular Free PR AI Apps for Music
Amper Music - creates musical tracks from pre-recorded samples.
AIVA - uses AI algorithms to compose original music in various genres and styles.
Ecrette Music - uses AI to create royalty free music for both personal and commercial projects.
Musenet - can produce songs using up to ten different instruments and music in up to 15 different styles
What is wrong with the PR AI technologies?
Simulating human creativity, and instead of augmenting it, the PR AI technology will replace humans in most jobs, involving publishing, broadcasting and communications, without creating new jobs because there will not be a need for a human in the loop (HiTL).
The post-reality AI technology can produce outputs that are difficult to trace back to the responsible parties, which makes it challenging to hold individuals or organizations accountable for fake news or deepfake videos generated by the post-truth AI.
Most of PT technology are the hype after the hype/ the lie after the lie or the fads after the fads, which come and go, leaving no sense or real value, but huge speculative profits -- especially on Wall Street and with the big tech, Alphabet, Amazon, Apple, Meta, and Microsoft:
Blockchain > NFTs > Fully autonomous vehicles > Narrow AI/ML > LLMs > Google's LaMDA > Microsoft/OpenAI Chat GPT > ...
