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budget: printing 25p Acrylic painting 16 p It exceeded the original budget, but using more than three technologies, it was worth it in terms of results.

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The meaning and manifestation of digital footprints in the human information base are constantly changing, What the digital map presents is whether machines will distort and reshape the society built by humans. The information generated under the control of AI is overflowing, and the social structure is vaguely shaken and unstable. The initial idea is to create a digital map to simulate the storage information database of human development. Human beings give AI too much rights to use this information and interfere too much in the development of human society. Questioning the identity of AI and its participation in the development of human society. Whether AI’s excessive involvement in brain work is a stumbling block to the progress of human society? Unlike the ideal social division of labor, AI is responsible for the development of brain power and imagination, while humans Still assigned to basic labor.

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I added a lot of special effects to the animation, focusing on the color diversity and pattern transformation of the picture, controlling the colors to a fixed cold tone. In addition to adding dynamic changes to the pattern itself, inspired by Oursler's facial recognition algorithm, light tracking is added to some pictures to simulate the linear thinking process of AI. Experimental animations do not follow the usual principles of animation production and have a high degree of freedom. It only need to focus on expressing personal ideas. Although the current productions are short films, I hope to use a long time to do a complete experimental animation including plot in the future semester. At this stage, it is just about expressing concepts.

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On the digital media side, I explored Procreate software's many features in depth, including color modes, halftone and pixel adjustments, and texture creation. Inspired by the work of artist Oursler, I constructed a symmetrical structure, aiming to create a striking visual center of the picture. This process not only expanded my creative skills, but also injected more modern elements into my work

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Importance of the topic: The unexpected fire of London had a significant impact on future urban planning and architecture, and also brought about a series of changes in the insurance industry, public safety and culture. Value: While understanding the historical and cultural environment, learn how narrative stories assisted by different technologies reflect time changes in story rhythm, narrative methods and visual expression. For the first two projects, I relied on the help of AI in text and images. The advantage is that it is extremely efficient and has a certain possibility to bring inspiration to my creation. The disadvantage is that it is easy to form dependence, and the generated content will influence my final creating style, anchoring the development of the project in a framework it set for me.

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I modified and improved the deficiencies in the visual performance of the moving images, improved the picture clarity, added fire-related elements, edited an independent audio track for the background music, added the sound of fire burning, and generated artificial intelligence in Au Voice so that the audience can understand the meaning of the topic. I need to relearn and understand the structural system of the pop-up book. At the current stage, the pop-up book needs to be completely redrawn to achieve the desired effect. The blank space designed for engraving is not enough to present the ideal effect. The quality of the pop-up book can be improved with the help of printing finsihing machines, and the video will be a derivative of the pop-up book.

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Budget: 5~6 pounds printed on white cardboard Collage materials, recycled from previous projects, free tracing paper, provided by Glue Academy, free of charge

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The visual impression brought by prints is usually flat and lacks the assistance of other media. In this case, the audience is left to seek out and observe more information on their own, and the delivery of the theme may be subject to secondary distortion. Reflecting my in-depth research on experimental collage animation and montage narrative methods, I tried to combine these two concepts to create a new animation, which was a new format challenge for me. I started storyboarding the content and thinking about how to switch between illustrations. I tried to tell this story by creating a series of non-coherent illustrations. General animation usually relies on a series of continuous animation storyboards to ensure the coherence of the plot. However, I chose to use only a few frames to imply to audience what might have happened without showing the plot, giving the audience enough imagination to connect the relationships between the frames. At the same time, I plan to use music and AIgenerated speech to provide deeper hints about the story content. This kind of creation ensures that the information conveyed will not be distorted, and the visual animation will automatically expand the possible scenes for the audience, stimulating the audience's imagination.

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The meaning and manifestation of digital footprints in the human information base are constantly changing, What the digital map presents is whether machines will distort and reshape the society built by humans. The information generated under the control of AI is overflowing, and the social structure is vaguely shaken and unstable.

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After reviewing my colleagues’works, I used digital media technology to simulate an exhibition method with ideal effects.

Exhibition sapce: Audience will surrounded by stacked computer devices and can explore what is happening on different screens, follow the movement path of the main object, which is likened to an eyeball as an AI, and observe where it goes. Different elements will pop up randomly on different screens. The computer wall is about 1.8 to 2 meters high, ensuring that the audience will be covered in it

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I was surprised by the diversity ways my colleagues displayed their works. We used the existing venue resources to maximize the advantages of the exhibits in this space. Compared with my works, I did not think about a truly effective way to display them in time. The original plan was to loop digital gif images, which required an additional screen for simultaneous playback. Considering the budget issue, this is an extremely difficult goal to achieve. Think about new possibilities: Use mock up scenes to simulate possible exhibit display spaces, scene simulation concept: a series of stacked or arranged electronic devices, including computers, TVs, Nokia mobile phones, DV players, etc. Each device displays a different part of the gif, viewing the complete image information of the entire gif from a distance to illustrate my project concept.

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Materials: printed pictures, secondary discarded photography materials, A3 paper, transfer paper The AI information map is exhibited in the form of an installation. Consider printing out the drawn static images as part of the exhibition to help the audience better understand the concepts. Contains some representative elements: eyes, sun, organic matter, landscape and architecture. They represent AI's identity, nature, knowledge, humanity, and historical and environmental changes respectively.

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Developing own way of using marker pens originally came from the practice of fountain pen cursive calligraphy in Project 03. Focus on using own understanding to restore the landscape. Show these manuscripts to my tutor and suggested: fix the inherent colors in 2-3, such as black and white as the main color, use orange or pink as the highlight color, try the techniques in the printing workshop to improve the presentation effect. These illustrations are then scanned and processed digitally, with color matching, overlapping, distortion and deformation of the images. To achieve a feeling of emptiness and uncertainty, like visiting a dream scene. Once again, I subconsciously chose a cool color palette, which I thought would achieve the mood I wanted to convey.

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Neural Network Derived Patterns in Facial Recognition Algorithms

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Neural Network Derived Patterns in Facial Recognition Algorithms

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The visual focus of the painting is composed of different textures, aiming to seamlessly integrate a sense of movement into the painting, so that the two are intertwined and merged in mixed media. Each one presents a collection of animal butterflies, forcing the viewer to focus on the human face at the center of the painting, balancing the series as an exploration of the magical allure of the human gaze.

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In this project, the focus is on the complex intertwined relationship between humans and machines, and an in-depth study of the positive and negative outcomes driven by this entanglement. Assuming that artificial intelligence is endowed with the ability to understand human nature and emotions, from the perspective of AI, its story generation process, and open loop generation training, can this series of actions be observing and learning in a novel way? The next two projects will explore base on this rough idea, using digital media technology to simulate and visualize generation process of information databases, formulate visual dynamic images, and simulate the evolution of artificial intelligence from its birth to autonomous exploration of potential scenarios in the future. This project does not rely on AI generation technology to avoid any subconscious guidance and influence on the final output. But at the same time, research materials related to information, machines and AI art, try multiple media to develop simultaneously and seek diverse results.

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Negative expansion sketch. I will use the techniques I learned in the first project to transform the collage in more forms, and see how far these collages can lead my imagination and brushes to enrich themselves. Finally, 5-6 high-finished black and white illustrations were transferred to electronic devices for coloring and adjustment. The color combinations from the previous research on film works and AI generation were used, such as red and orange, blue and pink.

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Review of the topic: The huge and complex AI knowledge base has an awakening consciousness. It reviews the connection between history, knowledge and society, and gradually forms a complete set of thinking patterns. By visualizing Ai's thinking, perception and experience, I try to transform the flow of knowledge and emotion into a spring-like representation of the mind. Improvement: Provide more images that simulate thinking. The static images currently displayed are difficult to convey the meaning of the theme without the assistance of animation. Maybe you can add music, but it needs to match the style and rhythm of the picture, and you need to systematically study music theory content. Alternative plan: The final complete output of CD patterns and animations was implemented after the communication stage. Although I tried moving images in the early stage, I found in the feedback section that they could not fully convey the theme, so I extended it to more Movable images and arranged together to make a complete small animation. CD is a complement to animation and an expansion of static illustrations. It is an explanation of which display format static images will eventually go to.

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Enter the keywords of the poem multiple times to explore possible visual matching images. In addition to the emphasis on the subject content in the first input, the strong output of style is reflected in subsequent training. The output of midjourney is reflected in the high-quality single image output that meets the style requirements. It will provide four training results. From U1 to V4, detailed single image training can be performed, but the machine will only perform derivative training based on the composition of the selected image. In other words, if I want to create a continuous story, I need to generate a single picture multiple times. Settle the color combination, green and blue, blue empty, hazy mood.

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Collage has strong visual contrast and easy to recognize. Multiple scattered and trivial ideas are connected and unified. The output of collage is difficult to predict. Think about the potential value of each small image and the potential combination possibilities.

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. Artist turned "Women's World" into a feature film, using a similar approach to the novel. Search online databases for appropriately matching visual elements and images, integrate them into the film, and transform the characters' faces. Movie footage will be edited from thousands of clips. At the same time, the use of feature films, commercials, public information videos, and television programs from the 1950-1960s will provide new material for the characters' voices. The book is composed entirely of collages of text snippets cut from the pages of old-time women's magazines and reassembled. The author drafted an outline for the novel, then scoured hundreds of women's magazines, cutting out what was relevant to the scene he was writing about: sentences, phrases, and words that, when put together, might be rearranged to approximate what was intended to be said. . The fragments were transcribed, archived and stored, and gradually the original mind-constructed words were discarded and replaced by words found in magazines, all done by hand. The medium of the novel creates different levels of meaning in the plot, and the particular medium serves as a visual reminder of the author's fragmented thought process, as well as he reliance on magazines to find resonant female voices.

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project will build information bridges around trivial information, recombine and arrange information, re-give meaning, test the maximum limits of AI tools in theme and visual support, and deeply explore the evolution of future scenarios under the vision of AI systems.

Combined with the theory of narrative visual language in the digital skill course, use these technologies to create visual stories from new angles.

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Have a preliminary understanding of AI work 

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Have a preliminary understanding of AI work 

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The existence of AI is not a threat to story creation, it exists as an auxiliary technology and plot detail. It cannot create original stories, but can organize the creator's ideas based on relevant information in the information base.

From this, I think that the creative research of some creators is similar to the information collection model of AI. For example, Rawle’s books include the collection and reorganization of information from special media in their creation, using multiple sources of information and unique media to create stories. of rich emotions and multi-layered meanings.

This made me think that illustration creation can also be conceptually inspired and constructed from a wide range of image information, such as collage, moodboard, and collection making.

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I added a lot of special effects to the animation, focusing on the color diversity and pattern transformation of the picture, controlling the colors to a fixed cold tone. In addition to adding dynamic changes to the pattern itself, inspired by Oursler's facial recognition algorithm, light tracking is added to some pictures to simulate the linear thinking process of AI. Experimental animations do not follow the usual principles of animation production and have a high degree of freedom. It only need to focus on expressing personal ideas. Although the current productions are short films, I hope to use a long time to do a complete experimental animation including plot in the future semester. At this stage, it is just about expressing concepts.

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Installation-AI bias Society uses AI to recognize faces, perform intelligent searches, and automate planning. Many people trust AI wholeheartedly and accept it to handle tasks for us. The author believes that there is a certain bias in the results generated by artificial intelligence. It involves bias and subjectivity in the reception of information, its processing, and the construction of algorithms. Therefore, the results it presents are also affected by the vices of human society. The shadow of the integration of AI and the author can be found in the work. The use of information and the power to generate temporarily give the AI a temporary identity that resembles a human.

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In 2022, I graduated from South China University of Technology with a BEng in Industrial Design and went on to study for an MA in Information Experience Design at the Royal College of Art.

Due to my engineering background, I often combine technology and aesthetics in my work, trying to create interesting and interactive experiences for audiences.

As an artist, I am concerned with the spiritual lives of people in contemporary society and aspire to inspire reflection on the current state of society through my work.

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In 2022, I graduated from South China University of Technology with a BEng in Industrial Design and went on to study for an MA in Information Experience Design at the Royal College of Art.Due to my engineering background, I often combine technology and aesthetics in my work, trying to create interesting and interactive experiences for audiences.As an artist, I am concerned with the spiritual lives of people in contemporary society and aspire to inspire reflection on the current state of society through my work.

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Tony Oursler has been a pioneering figure in new media art since the early 1980s. Oursler developed his early practice under John Baldessari at CalArts, where he formed longstanding relationships with several of his fellow students, including Mike Kelly, John Miller, and Jim Shaw. This context encouraged Oursler to break the traditional strictures applied to various media and experiment with cross-pollination between painting, sculpture, video, installation, performance, language, music, and sound. Oursler, one of the first artists to utilize video as a medium for creating art. This was a crucial moment in the development of conceptual art, and Oursler emerged as a central figure in this multifaceted practice.

Within the booth are four chimerical A.I. "b0ts", constructed with mixed media and elements of hand blown glass. Thematically these works relate to Oursler's ongoing interest in our daily interactions with ever omnipresent technology; these works are slightly human, their physicality exists as something somewhat smaller than our own, they have torsos, eyes, mouths, they call out and even seem to emote.

Artificial intelligence, or A.I., brings to light many questions regarding our co-evolution with technology. The artist sees technology as a reflection of our own ontologies, belief systems and desires. Will our creations replace us? Or will we enter a utopian world of infinite knowledge and achievements? It is the artist's perspective that we are living between these two questions, A.I. begins to enter our world in many banal and fascinating ways leaving more space for speculation than answers.

Alongside the freestanding bots are juxtaposed wall-mounted works from his facial recognition series embedded with video screens depicting mouths and eyes. These visages also bear the marks, nodes, and geometric patterns of algorithmic facial recognition mapping, pairing the evocation of human expression with the efficient calculus of electronic profiling. According to the artist, one of his intentions is "to invite the viewer to glimpse themselves from another perspective, that of the machines we have recently created." Through these digital portraits we can see ourselves through the lens of machines we have recently created, piercing contemporary anxieties about privacy, surveillance, and identity.

The increasing sophistication and prevalence of facial scanning in society is key to understanding Oursler's most recent works, which raise questions about the accumulation of biometric data as well as how and by whom that data is used. The artist's latest works also reveal the beautiful, yet distinctly non-human qualities of these types of analyses. Oursler questions the utility and ramifications of teaching machines to understand emotion, while exploring the evolution of human identity. The degree of fiction in his work is not at random; it has always been intentional, present since his early videos. The simple and perhaps ungraceful work of building theatrical props becomes the backbone of his works, bestowing a more marked degree of fiction.

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Tony Oursler has been a pioneering figure in new media art since the early 1980s. Oursler developed his early practice under John Baldessari at CalArts, where he formed longstanding relationships with several of his fellow students, including Mike Kelly, John Miller, and Jim Shaw.

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Repository The main theme of this work is about the complexity of individuals' digital footprints and data storage in the digital age. The work points out that the digital footprints we leave on databases are replicable, transferable and mutable. By exploring digitized human memories on social media, the work emphasizes that these digital footprints are not only powerful tools for machine calculation and analysis, but also the basis for us to control our own stories. Both works have made certain arrangements in the exhibition design, perfectly controlling the size of the space and the distance between the exhibits and the audience. Li's AI works retain enough space between the exhibits and the audience. The naked eye estimates it to be 1-2 meters. It is far enough to observe the subtle expressions of the human face on the electronic screen and close enough to interact with the robot. The repository shortens the distance between the audience and the exhibits, directly pulling the audience into the work in the form of VR, and observing the floating characters and graphics in the data information library from the perspective of the artist. The most important thing is various computers and paper shredders. The simulation of sound separates the audience from the outside world and makes them immersed in the scene

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Borrowed Scenery | Weidi Zhang :: New Media Art & Design

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When shopping for a printer, you've likely noticed two very different printer types: inkjet printers and laser printers. The question is, what's the difference between laser and inkjet printers? And more importantly, which is better suited to your specific needs? Read on to learn the basics of laser vs. inkjet printers so you have all the facts before you buy.

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Ink jet and laser printers have distinct differences and advantages. Which printer is best for you, laser or inkjet? Find out now.

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Adjust colors and textures uniformly to create staggered, hazy images that provide a visual illusion.

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Eno is committed to creating ethereal vocals, using special

instruments, synthesized music

Visual experiment video.

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Skip to content

The instrumental version of FOREVERANDEVERNOMORE, Brian Eno's critically acclaimed 2022 album, has released exclusively for Record Store day 2023. With FOREVER VOICELESS he has removed the voice, moving the focus back onto the core music for this special 2023 Record Store Day vinyl exclusive. These instrumentals reveal the starkly dramatic and delicate tones that set these shifting moods. The album's theme, a reaction to the ongoing climate crisis, is now laid out clearly in this hypnotic, sonic landscape.

Released on crystal clear coloured vinyl with eco packaging, the LP is now available from participating record stores. The digital version of the album is available from all streaming partners now.

1. A Thought

2. And Let It In

3. Who Are We

4. Crystal Light

5. Inclusion

6. Bells Above

7. Chéri

8. Hardly Me

9. Small Noise

10. Silence

Brian Eno released his latest studio album FOREVERANDEVERNOMORE in October 2022 on vinyl, CD, digital formats and Dolby Atmos Blu-ray (Super Deluxe Edition exclusive). The record was made at his studios in West London and Norfolk.

1. Who Gives a Thought

2. We Let It In

3. Icarus or Blériot

4. Garden of Stars

5. Inclusion

1. There Were Bells

2. Sherry

3. I'm Hardly Me

4. These Small Noises

5. Making Gardens Out of Silence

1. Who Gives a Thought

2. We Let It In

3. Icarus or Blériot

4. Garden of Stars

5. Inclusion

6. There Were Bells

7. Sherry

8. I'm Hardly Me

9. These Small Noises

10. Making Gardens Out of Silence in the Uncanny Valley

1. The Ship

2. Fickle Sun (i)

3. Fickle Sun (ii) The Hour Is Thin

4. Fickle Sun (iii) I'm Set Free

1. Bless This Space

2. Glitch

3. Dreambirds

4. Pour It Out

5. Seedpods

6. The Real

7. The Airman

8. Fierce Aisles of Light

9. As If Your Eyes Were Partly Closed As If You Honed the Swirl Within Them and Offered Me the World

10. A Title

11. Sounds Alien

12. Dow

13. Multimedia

14. Cloud 4

15. Silence

16. Breath of Crows"

1. Emerald and Lime

2. Complex Heaven

3. Small Craft on a Milk Sea

4. Flint March

5. Horse

6. 2 Forms of Anger

7. Bone Jump

8. Dust Shuffle

9. Paleosonic

10. Slow Ice, Old Moon

11. Lesser Heaven

12. Calcium Needles

13. Emerald and Stone

14. Written, Forgotten

15. Late Anthropocene

Stay up to date with the latest news and information from Brian Eno. Sign up below.

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Skip to content The instrumental version of FOREVERANDEVERNOMORE, Brian Eno's critically acclaimed 2022 album, has released exclusively for Record Store day 2023. With FOREVER VOICELESS he has removed the voice, moving the focus back onto the core music for this special 2023 Record Store Day vinyl exclusive.

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Ghostbusters as a Clive Barker movie. Created with Midjourney AI

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The basic process of movable type printing, understand how various patterns and text layouts are made, and how heavy printing molds are used in printing

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Delight is an innovative media art exhibition that provides a fresh and creative interpretation of urban city life.

Through the use of art, lighting, visuals, sound, and other media, the creators of Delight-everything from artists to designers, engineers, and storytellers-aim to convey a wide array of sensations to every guest. Join us and embark on a journey through space and time that brings together the past and the present, the real and the imaginary, the distant and the familiar.

Explore the intricate world of Delight

Get ready to travel to a trendy, bustling city. Step into striking media art installations that bring a busy and dynamic metropolis to life, delivering a vivid reflection of its people and society. Meet creatures of ancient mythology, visit God's Road, and hear the authentic tales of over 60 city residents on this unforgettable artistic journey.

Do more than appreciate large-scale digital art projections: step inside and interact with them. Become a silhouette in the rain, feel the pulse of a rhythmic neon city, bathe in moonlight... it is with your presence that Delight's artistic narratives fully come to life.

Where tradition and technology unite

Delight uses sound, light, and incredible technology in a reinterpreted space to create an entirely new type of large-scale multisensory installation. Explore 12 immersive zones with over 25 forms of media content, from traditional images to avant-garde displays depicting a vibrant city's past, present and future like never before.

Event details

@Mon-Thurs: 10:00-19:00 Friday: 10:00-20:00 Saturday: 09:00-20:00 Sunday: 09:00-19:00

Borough Yards, Clink St , London. SE1 9DG

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Delight is an innovative media art exhibition that provides a fresh and creative interpretation of urban city life. Through the use of art, lighting, visuals, sound, and other media, the creators of Delight-everything from artists to designers, engineers, and storytellers-aim to convey a wide array of sensations to every guest.

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Un-commissioned | New Talent

How were your illustrations used? :
Advertisement (online), Exhibition or installation, Magazine or newspaper inside or spot illustration/s, Print/poster or postcard, Social Media Campaign

How did you make this work:
Creating this series of illustrations was my way of coping with the brutal reality that invaded my country, my home, my life. The creation of these illustrations allowed me to contain my feelings and emotions, to work with them, to keep myself in the most shocking and painful events that happened during this year of war... each illustration was created as a reaction to certain events.

Biography:
Kateryna is an artist and illustrator from Ukraine, Kyiv. She specializes in painting and drawing abstract works, figurative, working with shapes, and making collages, but she loves to experiment with different mediums. She has a passion for art that helps people feel connected to themselves and their surroundings.

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The AOI provides contract and business support to illustrators. We champion the rights of illustrators, and run competitions and events.

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Digital session with Carlos- how to present works

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Digital session with Carlos- how to present works

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Emphasis the important insights about my works, the present formats depends on how works' format look like, then think about the ingredients for works, what could improve the presentation effect

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Recreate the collages collections which made by man artist.

The nature of collage: heterogeneous, pulled apart, shape shifting, disrupted, cyborg, fantasy.Kurland's ritual is restorative and loving: each work is a reclamation of history; a dismemberment of the patriarchy; a gender inversion of the usual terms of possession; and a modest attempt at offsetting a life of income disparity.

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SCUMB MANIFESTO (SIGNED) By Justine Kurland

SCUMB, Society for Cutting Up Men's Books

An homage to Valerie Solanas' SCUM (Society for Cutting Up Men) Manifesto. SCUMB Manifesto introduces us to photographer Justine Kurland's own uncompromising initiative: the Society for Cutting Up Men's Books. This volume presents a collection of collages Kurland created by cutting up and reconfiguring photobooks by male artists, as she went through the process of purging her own library of roughly 150 books by straight white men that have monopolized the photographic canon. The nature of collage - heterogeneous, pulled apart, shape shifting, disrupted, cyborg, fantasy - has long made it a feminist strategy in life and in art. Kurland's ritual is restorative and loving: each work is a reclamation of history; a dismemberment of the patriarchy; a gender inversion of the usual terms of possession; and a modest attempt at offsetting a life of income disparity.

Includes a 48 x 60cm poster inserted into back cover

Mack, 2022
h320 x w245 mm
282 pages
116 Plates
Essays by Marina Chao, Renee Gladman, Catherine Lord, and Ariana Reines.
Softback

Justine Kurland SCUMB SCUM MANIFESTO Mack 2022

2 in stock

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The foundation will support and preserve the legacy of photographers who made, and continue to make, important work focused on the british isles.

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Ai lack of ability to making mistakes, only faults making the progress.

But it falters in expressing the nuances of a sunset, a snowstorm, a baby's cry, or an old man's tears. This flaw has marked its existence since its inception, the most important issue being the lack of humanity and the inherent confidence that humanity carries. True confidence is built when you understand human frailty and recognize that everyone is fallible. In this paradigm, error is the basis for the ongoing search for truth.

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Contemplating the correlation between scientific and technological advancements and human happiness reveals a stark reality, reminiscent of the revelation brought about by a photograph unveiling the moon's surface, extinguishing millennia of humanity's enchanting fantasies. In a parallel vein, today's harsh reality witnesses technology reducing age-old modes of poetic expression and the warmth of art to a somewhat barbaric artifice.

Throughout the development of society, new technological discoveries have shaped the course of humankind. From the primal discovery of fire to the emergence of language for communication, music and dance, each step represented an expression of humanity's desire to communicate and transmit messages. Ancient cave paintings depicting hunting scenes and people in motion, and the mineral-red handprints on mountain cliffs provide glimpses into the thoughts of our ancestors. In their struggles and fights, they found inspiration in the flowing of blood and the beating of their hearts, fostering a renewed understanding of themselves and a heightened passion for life. Despite life's challenges and the formidable forces of nature, humans persists in walking out of their metaphorical caves. The extent of their fantasies surpasses the potent fears in their hearts. Courage and confidence for living stem from the exploration of the inner worlds.

As society progressed, discoveries such as electricity marked the advent of the industrial age, followed by the post-industrial age and the information age. These profound transformations unfolded within a mere couple of centuries. Life in turn has become more comfortable and multifaceted, with reduced vulnerability to natural forces. Yet this comfort is achieved through our reliance on Earth's finite resources, compromising the survival of other species. Despite remarkable technological progress, it appears that humankind has not fundamentally transcended primitive society. Presently, persistent challenges manifest in the form of ongoing and escalating conflicts in Europe and the Middle East. Moreover, the looming spectre of a third world war, once relegated to the realm of imagination, has now become a palpable threat capable of extinguishing humanity. It becomes increasingly apparent that technological advancements alone cannot propel humanity forward. Steam engines and electricity undoubtedly made life more efficient, yet the unchecked greed of capital and foolish acts persist. Enslaving measures on the public increase, evident in the failures of contemporary education and the prioritisation of entertainment over social justice in mass media. This shift has contributed to a society increasingly moving away from spiritual pursuits, embracing a form of refined selfishness and greed that shrouds today's so-called civilisation like a dark cloud.

The rapid development of technology, including the rise of AI, fails to bring genuine wellbeing to humanity; instead, it fosters anxiety and panic. AI, despite all the information it obtains from human experience, lacks the imagination and, most importantly, the human will, with its potential for beauty, creativity, and the possibility of making mistakes.

With the advent of AI, the prevailing belief was that its formidable processing capabilities rendered it capable of accomplishing virtually anything. Indeed, AI has proven adept at replacing numerous tasks involving information collection and processing, a trend accentuated by its increasing strength and expanding scope in response to growing industrial demands. The acquisition of knowledge, skills and modes of thinking that once demanded a human effort of 10 to 20 years can now be expeditiously processed by AI in a seemingly mythical span of seconds. This transformative shift may instigate subversive changes in production, societal structure and productivity. Yet while AI generates outputs characterised by rationality, it inherently lacks the depth of human experience, original ideas and creativity.

Art grapples with issues transcending rationality. Consequently, the advent of AI does not present a challenge to art itself; instead, it challenges the traditional understanding of how humans acquire artistic skills, which posits that art must be cultivated through training to master techniques. Such techniques typically demand an artist's lifelong exploration and dedication, while the driving force behind this exploration is rooted in artists' perennial sense of discontent and an unending aspiration for perfection in their craft. Artists such as Van Gogh or Picasso do not merely repeat themselves but continuously refine their expressions through the lens of their growth, life experiences, beliefs and emotions. Whether capturing a pot of sunflowers, a pair of shoes, or a woman, the simplicity of their subject matter does not diminish the complexity of their artistic endeavours.

Consider Rembrandt, ceaselessly painting his own portrait. What was he seeking? His pursuit was the elusive understanding of a self that remains perpetually unknown. AI lacks the capacity for such introspection. While it can replace certain technological skills, it falters in expressing the nuances of a sunset, a snowstorm, a baby's cry or an old man's tear. Since its inception, this deficiency has marked its existence, with the most significant issue being its lack of human nature and the inherent confidence that human nature carries. True confidence is forged when human weaknesses are comprehended, recognising that everyone is prone to making mistakes. In this paradigm, mistakes serve as the foundation for the perpetual search for truth.

Art, once manipulated as a tool by the powerful to corrupt and subjugate souls in the pursuit of capital, now grapples with relinquishing its millennia-old allure to the relentless march of technology. The traditional technology of painting, along with all human-made realities that affect the retina, now yields to a barrage of technologically generated images, photographs, sculptures, videos, films and visual effects, subverting the longstanding notion that "seeing is believing". This transition births a parallel reality. As figurative thinking merely proliferates an infinite array of falsehoods and fuels an unending epidemic of entertainment, this is a phenomenon warranting both acknowledgment and critique.

The move from ignorance to enlightenment initially laid God to rest, leaving humanity bewildered in the absence of religion. The radiance of the newfound freedom emanating from this void can be perceived as a potent poison, while the associated utopian vision of a democratised society appears as self-ravishing gibberish. Does an increase in knowledge lead to heightened foolishness, a drift further away from enlightenment, and an unchecked descent into degradation?

Do those entrenched in insensitive self-degeneration, resisting salvation, find themselves richer and more comfortable than ever before? Has humanity, expelled from the Garden of Eden, discovered its dwelling place?

Less effort does not lead to greater fulfilment, and the liberation of artistic acts from attainable effort cannot alter the reality of spiritual enslavement.

In this complex landscape, art once again assumes the role of a guardian - safeguarding the inexpressible dignity of life, resisting mental enslavement, dissolving tyranny and countering ideological purges. If freedom exists, it must emanate from resistance.

Ai Weiwei is a Chinese contemporary artist, documentarian and activist. His new exhibition, Ai vs AI is part of CIRCA 20:24 (11 January until 31 March) on Piccadilly Lights, London

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Take in a sunset, a snowstorm or a baby's cry, and see why AI is no threat to art | Ai Weiwei

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Technology is no match for the human will, with all its potential for creativity and the possibility of making mistakes, says artist and activist Ai Weiwei

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How artists or designers show unique style and authorship, include how to pass their thoughts, emotional through visual media( moving image).

And how to show personality by using technique, frame structure, color palette.

Space: relationships between artwork and its physical environment, interactive with environment, or how to use environment change or highlight the meaning of artwork

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Multi sensory experience

Concept art

Need to link back to the project 00research

Look back on what did on previous3 projects

What does ur work want?

A complete working pieces which is developed well on both technique and concepts, also linked with previous projects concepts, it has to be related to ai research working system, summarize its function and points which may effect the research result.

Need to show my personal traits and style, keep working on the retro style

What audience need?

Interactive art, multi sensory experience, ai data collection, Seth connect with movement, need to modify the exhibition space

To implement the in

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The work is inspired by partially built and abandoned structures. The buildings are man-made and come from previous historical sites. This strange, isolated structure in the work, solid but fragile in appearance, appears and disappears from the picture due to the author's special creative method. The special creative method gives the work a sense of experience, which may be applied to my creative concept: the main objects present two states in the picture. They do not belong here but have existed in the past, leaving traces of time. New approach In terms of picture performance, the author achieved the overlapping and looming effect of multiple objects, and tried to apply it in his own graffiti and illustrations.

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I work with a Fine Art Trade Guild accredited printmaker for my giclée prints.

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a need for more uniformity in style, required particular painting skills stand out in larger pieces. During the first exhibition of semi-finished products, my colleagues thought that my work was related to water, rhyme and rhythm. I needed to amplify the true meaning that the finished product wanted to express. It is difficult for graphic works to convey the correct theme without the support of format. Some colleague gave a suggestion: try to inergate the image with album cover or CD cover. Maybe a new cover could be made for the experimental animation to correctly guide the audience to the theme, it's a good suggestion, which locates the potential format of the work and at the same time greatly improves the completeness of the work.

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Outsider artists buck tradition by teaching themselves how to be creative. Here we assemble the ten most noteworthy

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El Anatsui: Behind The Red Moon at the Tate Modern in London

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El Anatsui's Behind the Red Moon is a monumental sculptural installation made of thousands of metal bottle tops and fragments. Crumpling, crushing, and stitching them into different compositions, large panels are pieced together to form massive abstract fields of colour, shape and line. The commission builds on Anatsui's interest in histories of encounter and the migration of goods and people during the transatlantic slave trade. Sourced in Nigeria, the liquor bottle tops used in this commission form part of a present-day industry built on colonial trade routes.

Behind the Red Moon is staged as an artwork in three acts. Visitors are invited to embark on a journey of movement and interaction through the hangings, a dance between bodies and sculptures.

Viewing the hangings from afar, a landscape of symbols is revealed: the moon, the sail, the wave, the earth, and the wall. Up close, the bottle tops' logos speak to the material's social lives as commodities of a global industry built on colonial trade routes. Together, the past and present of Africa and Europe merge into sculptural forms that hang in the air and appear to float across the space. The hangings embody Anatsui's idea of the 'non-fixed form', and are part of his highly experimental approach to sculpture.

Anatsui engages with the poetic possibilities of his materials. 'Each material has its properties, physical and even spiritual,' he explains. Behind the Red Moon explores elemental forces interwoven with human histories of power, oppression, dispersion and survival.

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El Anatsui: Behind the Red Moon | Tate Modern

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Visit El Anatsui's monumental new artwork in Tate Modern's Turbine Hall.

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This work featured thirteen hyper-realistic life-size sculptures of elderly people. Each withered old man looks suspiciously similar to world leaders, including politicians, bishops, admirals, generals, and dictators. They display signs of mental weakness and are placed, drooling, in electric wheelchairs that roll on a slow collision course, clashing around the gallery at a harmless snail’s pace. Like a grotesque parody of the United Nations, the work is a powerful critique of aimless international conflicts that are determined by a few senseless leaders.

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In my creative process, I organically combine traditional techniques with digital media techniques to develop more creative possibilities. First, I chose cyanotype production and bravely faced the challenge of large-scale illustrations. I sketched symmetry and carved out templates to give the image a sense of movement within its stillness. By using the cyanotype technique, I strive to create natural traces that accentuate the sense of movement in the painting. The use of white ink and gold foil adds rich details to the painting.

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artist first start with black white collages, to help build scenes and backgrounds

advantages: Realistic style, high degree of completion

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LABIRYNT (1962) | Animacja | reż. Jan Lenica

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GPT doesn't truly understand English, but it has a very detailed map of how many concepts relate to each other. The makers of ChatGPT are the first to say that it can produce incorrect (and possibly harmful) information, though they're working hard to fix it.

Instead, GPT employed generative pre-training, where it was given a few ground rules and then fed vast amounts of unlabeled data—near enough the entire open internet. It was then left "unsupervised" to crunch through all this data and develop its own understanding of the rules and relationships that govern text.

Of course, you don't really know what you're going to get when you use unsupervised learning, so GPT is also "fine-tuned" to make its behavior more predictable and appropriate. There are a few ways this is done (which I'll get to), but it often uses forms of supervised learning.

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has been a household name for less than two years, so it's no surprise that lots of people are still unsure how it works. If I didn't have to write about it so much, I probably would be too. So let's dial things back: to understand how ChatGPT works, we need to start by talking about the underlying language engine that powers it.

The GPT in ChatGPT is mostly three related algorithms: GPT-3.5 Turbo, GPT-4 Turbo, and GPT-4o. The GPT bit stands for Generative Pre-trained Transformer, and the number is just the version of the algorithm. GPT-4o is a little different because it's multimodal, which means it can work with text, images, and audio-but we'll get to that a little later.

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The GPT models were developed by OpenAI (the company behind ChatGPT and the image generator ), but they power everything from Bing's AI features to writing tools like Jasper and Copy.ai. In fact, many of the AI text generators available at the moment use GPT models, as well as similar models from other companies-though they tend to keep quiet when they use each one.

ChatGPT brought GPT into the limelight because it made the process of interacting with an AI text generator simple and-most importantly-free to everyone. Plus, it's a chatbot, and people have loved a good chatbot since SmarterChild.

While GPT is the most prominent large language model (LLM) right now, there are now plenty of others. Google has its Gemini models and chatbot; Anthropic has ; Meta has , which powers its Meta AI chatbot. And that's before you dive into the models aimed at large companies, like Writer's Palmyra LLMs, or open models like Mixtral 8x22B. Still, at least for now, OpenAI's offerings are still the most powerful widely available and the de facto industry standard.

So the answer to "how does ChatGPT work?" is basically: GPT-3.5, GPT-4, and GPT-4o. But let's dig a little deeper.
Table of contents:
What is ChatGPT?

ChatGPT is an app built by . Using the GPT AI models, it can answer your questions, , generate images, draft emails, hold a conversation, brainstorm ideas, explain code in different programming languages, translate natural language to code, and more-or at least try to-all based on the natural language prompts you feed it. It's a chatbot, but a really, really good one.

The latest version of ChatGPT is also multimodal, at least if you use the GPT-4o model. In addition to text prompts, it can respond to images and audio. This opens up a wide range of real-world uses, like translating a conversation in real time or helping you identify a restaurant dish from a photo.

Since it launched at the end of 2022, ChatGPT has gotten a lot more powerful and useful. It can search the web to find answers to your prompts, interact with other apps through custom GPTs (what OpenAI calls its extension framework), and create images using the DALL·E 3 image model.

Of course, ChatGPT is also a way for OpenAI to get a lot of real-world data on how its models perform from actual users and serves as a fancy demo for the power of GPT, which could otherwise feel a little fuzzy unless you were deep into machine learning.

Right now, ChatGPT offers three GPT models. GPT-3.5 is less powerful but available to everyone for free. The more advanced GPT-4 is limited to ChatGPT Plus subscribers, and they only get a limited number of questions every day. GPT-4o is available to everyone, though ChatGPT Plus subscribers get five times as many prompts per day.

One of ChatGPT's biggest features is that it can remember all the context from the conversation you're having with it. If you tell it something in your initial prompt, it can recall it much later in the conversation. You're also able to ask it to rework things and correct any mistakes. It makes interacting with the AI feel like a genuine back-and-forth.

If you want to really get a feel for it, go and spend five minutes playing with ChatGPT now (it's free!), and then come back to read about how it works.

How does ChatGPT work?

This humongous dataset was used to form a deep learning neural network [...] modeled after the human brain-which allowed ChatGPT to learn patterns and relationships in the text data [...] predicting what text should come next in any given sentence.

ChatGPT works by attempting to understand your prompt and then spitting out strings of words that it predicts will best answer your question, based on the data it was trained on. While that might sound relatively simple, it belies the complexity of what's going on under the hood.

Supervised vs. unsupervised learning

Let's actually talk about that training. The P in GPT stands for "pre-trained," and it's a super important part of why GPT is able to do what it can do.

Before GPT, the best performing AI models used "supervised learning" to develop their underlying algorithms. They were trained with manually-labeled data, like a database with photos of different animals paired with a text description of each animal written by humans. These kinds of training data, while effective in some circumstances, are incredibly expensive to produce. Even now, there just isn't that much data suitably labeled and categorized to be used to train LLMs.

Instead, GPT employed generative pre-training, where it was given a few ground rules and then fed vast amounts of unlabeled data-near enough the entire open internet. It was then left "unsupervised" to crunch through all this data and develop its own understanding of the rules and relationships that govern text.

GPT-4o was seemingly trained in the same way, though in addition to text, its training data also included images and audio. This way, it could learn not only what an apple was, but what one looks like too.

Of course, you don't really know what you're going to get when you use unsupervised learning, so GPT is also "fine-tuned" to make its behavior more predictable and appropriate. There are a few ways this is done (which I'll get to), but it often uses forms of supervised learning.

Transformer architecture

All this training is intended to create a deep learning neural network-a complex, many-layered, weighted algorithm modeled after the human brain-which allowed ChatGPT to learn patterns and relationships in the text data and tap into the ability to create human-like responses by predicting what text should come next in any given sentence.

This network uses something called transformer architecture (the T in GPT) and was proposed in a research paper back in 2017. It's absolutely essential to the current boom in AI models.

While it sounds--complicated when you explain it, the transformer model fundamentally simplified how AI algorithms were designed. It allows for the computations to be parallelized (or done at the same time), which means significantly reduced training times. Not only did it make AI models better, but it made them quicker and cheaper to produce.

At the core of transformers is a process called "self-attention." Older recurrent neural networks (RNNs) read text from left-to-right. This is fine when related words and concepts are beside each other, but it makes things complicated when they're at opposite ends of the sentence. (It's also a slow way to compute things as it has to be done sequentially.)

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Transformers, however, read every word in a sentence at once and compare each word to all the others. This allows them to direct their "attention" to the most relevant words, no matter where they are in the sentence. And it can be done in parallel on modern computing hardware.

Of course, this is all vastly simplifying things. Transformers don't work with words: they work with "tokens," which are chunks of text or an image encoded as a vector (a number with position and direction). The closer two token-vectors are in space, the more related they are. Similarly, attention is encoded as a vector, which allows transformer-based neural networks to remember important information from earlier in a paragraph.

And that's before we even get into the underlying math of how this works. While it's beyond the scope of this article to get into it, Machine Learning Mastery has a few explainers that dive into the technical side of things.

Tokens

How text is understood by AI models is also important, so let's look a little deeper at tokens. GPT-3 was trained on roughly 500 billion , which allows its language models to more easily assign meaning and predict plausible follow-on text by mapping them in vector-space. Many words map to single tokens, though longer or more complex words often break down into multiple tokens. On average, tokens are roughly four characters long. OpenAI has stayed quiet about the inner workings of GPT-4 and GPT-4o, but we can safely assume it was trained on much the same dataset since it's even more powerful.

All the text tokens came from a massive corpus of data written by humans, at least for GPT-3. That includes books, articles, and other documents across all different topics, styles, and genres-and an unbelievable amount of content scraped from the open internet. Basically, it was allowed to crunch through the sum total of human knowledge to develop the network it uses to generate text.

Now, researchers are running out of human-created training data, so GPT-4 and later models may also be trained on synthetic-or AI-created-training data.

Based on all that training, GPT-3's neural network has 175 billion parameters or variables that allow it to take an input-your prompt-and then, based on the values and weightings it gives to the different parameters (and a small amount of randomness), output whatever it thinks best matches your request. OpenAI hasn't said how many parameters GPT-4 has, but it's a safe guess that it's more than 175 billion and less than the once-rumored 100 trillion parameters. Regardless of the exact number, more parameters doesn't automatically mean better. Some of GPT-4's increased power probably comes from having more parameters than GPT-3, but a lot is probably down to improvements in how it was trained.

GPT-4o is even harder to draw conclusions about. In addition to text, it was trained on images and audio-which can also be broken down into discrete tokens-so the neural network must have billions of additional parameters to deal with those additional modalities. Unfortunately, the corporate competition between the different AI companies means that their researchers are now unable or unwilling to share all the interesting details about how their models were developed.

Reinforcement learning from human feedback (RLHF)

Of course, GPT's initial neural network was entirely unsuitable for public release. It was trained on the open internet with almost no guidance, after all. So, to further refine ChatGPT's ability to respond to a variety of different prompts in a safe, sensible, and coherent way, it was optimized for dialogue with a technique called reinforcement learning with human feedback (RLHF).

Essentially, OpenAI created some demonstration data that showed the neural network how it should respond in typical situations. From that, they created a reward model with comparison data (where two or more model responses were ranked by AI trainers) so the AI could learn which was the best response in any given situation. While not pure supervised learning, RLHF allows networks like GPT to be fine-tuned effectively.

This process has continued with each subsequent release of GPT and is part of what has allowed the later models like GPT-4 and GPT-4o to be safer and more reliable.

Natural language processing (NLP)

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All this effort is intended to make GPT as effective as possible at natural language processing (NLP). NLP is a huge bucket category that encompasses many aspects of artificial intelligence, including speech recognition, machine translation, and chatbots, but it can be understood as the process through which Al is taught to understand the rules and syntax of language, programmed to develop complex algorithms to represent those rules, and then made to use those algorithms to carry out specific tasks.

Since I've covered the training and algorithm development side of things, let's look at how NLP enables GPT to carry out certain tasks-in particular, responding to user prompts.

It's important to understand that for all this discussion of tokens, ChatGPT is generating text of what words, sentences, and even paragraphs or stanzas could follow. It's not the predictive text on your phone bluntly guessing the next word; it's attempting to create fully coherent responses to any prompt. This is what transformers bring to NLP.

In the end, the simplest way to imagine it is like one of those "finish the sentence" games you played as a kid.

In the end, the simplest way to imagine it is like one of those "finish the sentence" games you played as a kid. ChatGPT starts by taking your prompt, breaking it down into tokens, and then using its transformer-based neural network to try to understand what the most salient parts of it are, and what you are really asking it to do. From there, the neural network kicks into gear again and generates an appropriate output sequence of tokens, relying on what it learned from its training data and fine-tuning.

For example, when I gave ChatGPT the prompt, "Zapier is..." it responded saying:

"Zapier is a web-based automation tool that allows users to connect different web applications together in order to automate repetitive tasks and improve workflows."

That's the kind of sentence you can find in hundreds of articles describing what Zapier does, so it makes sense that it's the kind of thing that it spits out here. But when my editor gave it the same prompt, it said:

"Zapier is a web-based automation tool that allows users to connect different web applications and automate workflows between them."

That's pretty similar, but it isn't exactly the same response. Asking "What is Zapier?", "What does Zapier do?", and "Describe Zapier" all get similar results too, presumably because they occupy similar positions in vector space. GPT understands that the most salient word here is Zapier, and that all the others are just asking for a short summary in slightly different ways.

That randomness (which you can control in some GPT apps with a setting called "temperature") ensures that ChatGPT isn't just responding to every single response with what amounts to a stock answer. It's running each prompt through the entire neural network each time, and rolling a couple of dice here and there to keep things fresh. Its understanding of natural language also allows it to parse the subtle differences between "What is Zapier?" and "What does Zapier do?" While fundamentally similar questions, you would expect the answer to be slightly different. Whatever way you ask things, ChatGPT is not likely to start claiming that Zapier is a color from Mars, but it will mix up the following words based on their relative likelihoods.

Multimodality in ChatGPT: Images, audio, and more

While natural language processing is a huge part of ChatGPT, over the past year, the chatbot has become increasingly multimodal. That means that, using GPT-4o (the "o" stands for "omni"), ChatGPT can also understand images and audio as part of the same prompt.

If you're thinking "couldn't ChatGPT do that before?" you're kind of right. The crux is how it happens.

Before GPT-4o, ChatGPT was able to understand images using a separate AI model that created a text description of the image. Similarly, it could "listen" to audio input, but what was really happening was a speech-to-text AI model was converting the spoken words to text. In both cases, the text was what was passed to GPT, which then responded with text or, in some cases, by prompting DALL·E 3 to create an image.

With GPT-4o, the same AI model is able to both understand the text, audio, and image inputs and output a response using text, audio, or images. It's a big step forward.

Spitting out words, not knowledge

For all my talk of "understanding" and "comprehending," you have to remember that these are simply the most useful words we have for describing how AIs operate. GPT doesn't truly understand English, but it has a very detailed map of how many concepts relate to each other. The makers of ChatGPT are the first to say that it can produce incorrect (and possibly harmful) information, though they're working hard to fix it.

Here's a tame example. When I asked ChatGPT using GPT-3 and GPT-4 to reply to "Harry Guinness is..." GPT-3 first replied by asking which Harry Guinness. Great question-there are literally two of us! So I said, "Harry Guinness the writer" (that's me). GPT-4 guessed who I was straight away, though both responses were fascinating:

GPT-3: Harry Guinness is a freelance writer and journalist based in Ireland. He has written for a variety of publications, including The New York Times, The Guardian, The Huffington Post, and Popular Mechanics. He covers topics ranging from technology and photography to travel and culture.

GPT-4: Harry Guinness is an Irish writer, photographer, and technology expert. He has written for various publications, including How-To Geek, Lifehacker, and Tuts+. His work primarily focuses on technology, tutorials, and tips, as well as photography and image editing. Guinness has built a reputation for creating detailed guides that help readers understand complex subjects or solve problems in a straightforward manner.

GPT-3's first and last lines are pulled almost verbatim from my various websites and author bios around the web (although I normally list myself as a freelance writer and photographer, not a journalist). But the list of publications is basically made up. I've written for The New York Times, but not for The Guardian, The Huffington Post, or Popular Mechanics (I do write regularly for Popular Science, so that might be where that came from).

GPT-4 gets the photographer part right and actually lists some publications I've written for, which is impressive, though they're not the ones I'd be most proud of. It's a great example of how OpenAI has been able to increase the accuracy of GPT-4 relative to GPT-3, though it might not always offer the most correct answer.

But let's go back to GPT-3 as its error provides an interesting example of what's going on behind the scenes in ChatGPT. It doesn't actually know anything about me. It's not even copy/pasting from the internet and trusting the source of the information. Instead, it's simply predicting a string of words that will come next based on the billions of data points it has.

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For example: The New York Times is grouped far more often with The Guardian and The Huffington Post than it is with the places I've written for, like Wired, Outside, The Irish Times, and, of course, Zapier. So when it has to work out what should follow on from The New York Times, it doesn't pull from the published information about me; it pulls that list of large publications from all the training data it has (or really, considers where they're mapped in vector space). It's very clever and looks plausible, but it isn't true.

GPT-4 does a much better job and nails the publications, but the rest of what it says really just feels like plausible follow-on sentences. I don't think it has any great appreciation for my reputation: it's just saying the kind of thing a bio says. It's far better at hiding how it works than GPT-3, though it's actually using much the same technique.

I've tested this with GPT-4o, too, and the results are much the same. Though ChatGPT can now search the web-at least if you're a ChatGPT Plus subscriber-which means it can find more up-to-date and accurate information rather than just relying on its training data.

What is the ChatGPT API?

OpenAI doesn't have a just-us attitude with its technology. The company has an API platform that allows developers to integrate the power of ChatGPT into their own apps and services (, of course).

Zapier uses the ChatGPT API to power its own ChatGPT integration, which lets you connect ChatGPT to thousands of other apps and add AI to your business-critical workflows. Learn more about how to automate ChatGPT, or take a look at these examples to get you started.

Zapier is the leader in workflow automation-integrating with 6,000+ apps from partners like Google, Salesforce, and Microsoft. Use interfaces, data tables, and logic to build secure, automated systems for your business-critical workflows across your organization's technology stack. .

What's next for ChatGPT?

ChatGPT has gone from a novelty to an increasingly useful productivity tool over the past year. It's clear that multimodality is going to be the next big feature for chatbots and AI models, so expect it to get increasingly good at responding to image, audio, and maybe even things like video prompts.

Right now, GPT-4o is pretty bad at generating images, so ChatGPT tends to use DALL·E 3. Maybe the next version will have a more powerful image generator built into the base model.

Otherwise, OpenAI is already training the next version of GPT. We'll have to wait and see what features that brings to ChatGPT.
Related reading: This article was originally published in February 2023. The most recent update was in June 2024.

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Learn how ChatGPT works, including examples of it in action and an overview of large language models.

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Outsider art, also known as self-taught art, these works have a unique and distinctive style, reflecting the output of the creator's environment and cultural influence. The creation is based on a strong personal vision, uses unconventional special techniques, and is not expected by the art world. of bondage.

Subjective ideas drive individuals to create, radical, strong works

The information generated by AI is based on human knowledge base, and all good or bad depends on human opinions.

Inspiration for personal creation: Try to use the most original lines and brushstrokes to draw, emphasizing the uniqueness of creation from a personal perspective.

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Outsider Art: Visionary Worlds and Trauma

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Outsider art has exploded onto the international art scene, gaining widespread attention for its startling originality and visual power. As an expression of raw creativity, outsider art remains associated with self-taught visionaries, psychiatric patients, trance mediums, eccentric outcasts, and unschooled artistic geniuses who create things outside of mainstream artistic trends and styles.

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Based on what we did in studio sessions, recording ppl moving track.

Imagine the trace of natural: goose swim in the lake and wave their wings above the lake surface.

Bird migration route

Feathers flutter in the wind

Contain personal experience of expand more practical letter design

This section recreate what Ai weiwei said in his article, Ai don’t have the chance to experience what a real human like.

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Ai in visual storytelling

Tracing Robot moving track, the body component of robot would be a series of redesigned alphabet that look like pattern and messy code.

How’s robot look like? What’s his image