What is chatbot?
Linguistics may be missing links (stumbling blocks) in often misguided “AI” research
This paragraph bridges the gap:
“Artificial Intelligence (AI) is an umbrella term for computer software that mimics human cognition in order to perform complex tasks and learn from them. Machine learning (ML) is a subfield of AI that uses algorithms trained on data to produce adaptable models that can perform a variety of complex tasks.”
The spookiness of quantum entanglement:
https://youtu.be/SMJ2pqAllyQ
Music+AI – Blues Music played By an “Artificial Intelligence”
This mislabeled video is about machine learning.
“#1 Generation the AI has been trained only on 40 songs, with a relative small network. I’ve used the state of the art of Deep Learning for sequence modelling, the Encoder/Decoder architecture seq2seq. The songs are midi files vectorized with the following shape: (seq_length, 156). Every “word” of the song has 156*156 possible combination, and for that every word needs to tokenized in order to properly train the network. We end up with a shape of (seq_length, max_token_number) for each song/seq_length passed to the model.”
This IS NOT ABOUT actual artificial intelligence. So far, AI remains in the realm of science fiction.
https://www.google.com/search?q=machine+learning+is+not+artificial+intelligence&
What is Artificial Intelligence without Machine Learning?
Dr. Kim (Kyllesbech Larsen)
“Though I think that too much emphasize may have been put into names in this piece, eg Machine Intelligence was known long before Artificial Intelligence it doesn’t necessary make them very different. Machine Learning (ML) was coined in 1952 while AI was indeed defined in 1956. Initially a lot of emphasis was put on symbolic learning, leading to expert systems (RIP) and object-oriented programming concepts. In later years (late 80s to now) a connectionist approach has been the dogma. … I don’t know of anyone today that believe a pure classical symbol approach to AI is leading anywhere new. The end is not clear. “
https://www.linkedin.com/pulse/what-artificial-intelligence-without-machine-learning-claudia-pohlink
▸ noun: (computer science) A computer program that holds conversations through a chat room.
chatbot(chat roBOT) Software that provides a text or verbal interaction with a person using native language. Also called a “chatterbot” and “virtual consultant,” the chatbot is designed to emulate normal human responses. Chatbots are often limited in scope, although they may be able to improve with use.
The terms “chatbot” and “virtual assistant” are increasingly used synonymously; however, chatbots preceded virtual assistants and generally provide suggestions or answers to questions about a specific topic or product. Chatbots may also be embedded within an app or Web page, whereas virtual assistants such as Siri and Cortana are stand-alone, ask-anything programs.
(chatboxes are examples of machine learning, but are not artificial intelligence)
A chatbot is a software application that aims to mimic human conversation through text or voice interactions, typically online. Wikipedia
References in periodicals archive
The chatbot is to be made more powerful with an NLP engine and other cognitive services.
A new business intelligence report released by HTF MI with title “Global Chatbot Market Size, Status and Forecast 2025” is designed covering micro level of analysis by manufacturers and key business segments.
Chatbot Market Growth Scenario 2025 / Baidu, Poncho, Kik,
Airport has launched a ‘Gatwick chatbot’ (referred to as Gail) on Facebook Messenger to provide passengers with easy access to flight information, flight specific notifications, and information on airport shops, restaurants and other facilities.
“The social platform model also means that Avaya’s customers can increase the value of their chatbot solutions without having to engage in lengthy and costly data curation or warehousing projects.”
Recent reports suggest healthcare chatbot interactions will grow to reach 2.8 billion by 2023.
Medicare launches chatbots to assist patients
Here is a link to the insurance industry which owns America:
https://chat.mymedicare.gov/chatclient/chatrequest.aspx
A chatbot developed by Slovaks helps uncover fake news on Facebook
(This one sounds strange… )
Labelling opponents as the biggest enemies, sharing fake news and pictures, publishing unsigned articles and spreading hatred; these are some of the ways disinformation media deceive people.
https://spectator.sme.sk/c/22084710/checkbot-fake-news-facebook-chatbot-slovaks.html
Checkbot, Slovakia’s first chatbot on Facebook, was launched by a group of Slovaks and should now help fight these practices. A robot is expected to automatically respond to people’s questions and help Slovaks disclose misleading and manipulated news online.
How does it work?
Anyone who wants to verify whether a piece is factual can click on Checkbot, either on Facebook or its official website.
“A computer algorithm with human intelligence and empathy come together in Checkbot,” said Tomáš Kriššák of Open Society Foundation, as quoted by Hospodárske Noviny.
After Checkbot says “Hi” to a user, it asks for a link to check a given news story.
Checkbot first looks into whether the website that published the story is listed on the Konšpirátori.sk website, which contains the list of websites spreading conspiracy theories and fake news. Subsequently, the chatbot analyses vocabulary and pictures used in the text.”
Artificial Intelligence & the Artist’s Hand: Blues Edition
The book Abstracting Craft: The Practiced Digital Hand by Malcolm McCullough has been very relevant to my research and artistic practice, especially his exploration of “craft.”
When the tools are complex, when the artifacts produced are abstract, or when tools provide the only means of access to the medium (all common conditions in high technology), it can be difficult to say where a tool ends and a medium begins. But we can say that under skilled practice even these tools become transparent, and that a sense of a medium eventually emerges.
I’m making the argument that medium, as described by McCullough has a correlation in the blues (music), specifically in the call-and-response interaction between the performer and the instrument. A call-and-response is a succession of two distinct phrases usually written in different parts of the music, where the second phrase is heard as a direct commentary on or in response to the first. Take, for example, Skip James who I recently discovered. James was an American Delta blues singer, guitarist, pianist and songwriter.
Call-and-response patterns can also be found in deep neural networks, especially neural style transfer, which uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images. In A.I. music, the system interpolates between any two sounds, to produce a new sound. Listen closely and you can hear it in James’ vocalizations that respond to the sounds from his guitar. I kept this in mind when I produced new Deep Dream images using photos of musicians who take inspiration from blues music.
This quality of engagement is personal. Something must draw your interest. This might be the pleasure of handling a material. It could be the concentration required not to ruin a piece of work. At a more abstract level, it could be the intricacies of solving a problem, whether technical or conceptual. It could be the anticipation of a finished product. It might be the ambition to succeed, or the fear of failure. Or it could simply be the calming effect of routine, based on soothing motions, habitual expertise, and a sustaining commitment to practice.
In the comments section of a post about my work, researcher Aaron Hertzmann noted that my results “don’t just look like the usual automatic output, they’re better and they show the artist’s hand in making them fully realized, even though the elements of the algorithms are still visible.” This is what brought me back to McCullough’s “practiced digital hand.” He writes that for a medium to be engaging it must also be dense (deep). He notes that the medium must “surround us in possibilities” and it is through immersion that we can “coax the medium from one state to another.”
Density supports engagement not only through continuity but also through variety. Only countless subtle differentiations of conditions will yield a heightened, satisfactory practice. A rich medium offers such an extent of possibilities that no one author or piece can incorporate them all, and only this is enough to sustain continued exploration.
In addition to density, McCullough notes that there should be enough states of the medium to create a sense of a continuum of possibilities. Continuity depends on the condition that between any two states there exists still another. It also means sensations of states cannot be disjoint: a neighboring state must appear, and feel, nearly like the present state. Only such density will produce continuous behavior that can be worked with continuous hand-guided processes, like coaxing a material.
Having reached my goal of producing at least one Deep Dream image I liked per day for one year, I still find that there is more to discover and learn in the process. I used the same styles to create the images above but the results were different based on the decisions I made, as well as the source images I selected. Many of my choices were in response to what the machine was doing, much like the blues singer/musician who improvises with sounds.
The Aura of AI-Generated Art
In his 2004 essay “Why are Artists Poor?”, Hans Abbing writes, Walter Benjamin predicted that the technical reproduction of art would lead to a breaking of art’s spell (‘Entzauberung’). Art became less obscure, more accessible and thus less magical because of technical reproduction. … Benjamin’s prediction is not difficult to…
Share your ideas with millions of readers.
Dec 6, 2022
AI Art Is NOT Theft Until It Is
As AI-generated art continues to grow, more and more critics are accusing AI art tools of stealing the works of living artists. The uneducated or uninitiated hear “stealing” or “theft” and are driving the backlash forward. But someone has to be really, obviously intentional to steal someone else’s image. That…
Jan 10
Compositing AI Tools: A Primer
The text prompt I started with was an art term: sfumato. Sfumato comes from the Italian language and is derived from fumo (“smoke”, “fume”). I was thinking about its use in famous paintings such as da Vinci’s “Mona Lisa.” The painting gives an elusive and illusionistic rendering of the human…
Dec 15, 2022
AI & Techno-Vernacular Creativity
In 2021, the MIT Press published my first full length book, Techno-Vernacular Creativity & Innovation. Artificial intelligence or AI is briefly mentioned through artists such as Stephanie Dinkins. Dinkins created a training model for an AI agent based on living oral histories and literature including Toni Morison’s Sula (1973) and… Reappropriation
Natural Language Processing AI & Afrofuturism
For the past week I’ve been exploring Midjourney, an AI-based image generator tool that creates new images from simple text prompts. The text prompt for the image above is: black women in ethnic clothing dancing in a utopian fantasy botanical garden with insects. …
The Wordsmith Collection:
Writing & Creative Arts
More information, contact:
(editor@writingresource.org or
ditor@theportlandalliance.org)
Please support Alternative Media and Education
http://www.Re
volutionResource.org
http://www.ThePeaceresource.com
http://www.ThePortlandAlliance.org
and other real news resources…
Together we make a difference.
Thanks for all you do.
Join the Revolution!
