Hello guys . im yuvraj . recently in my collage they gave a task to make pptx of topic : ChatGPT . So i would like to share with you guys ! i hope someone will be get help from this ..and dont forget to Rate my PPTX ..THANK YOU
The document summarizes a workshop on responsible and safe AI held at IIT Madras. It discusses topics like legal bias and inconsistency in large language models, bias in AI systems, and approaches to make models more interpretable and remove harmful knowledge. Live demonstrations of ChatGPT were shown to illustrate issues like factual inconsistencies and how context is needed to avoid confusion. Overall, the workshop highlighted challenges with AI systems and ongoing research efforts to address issues like bias, lack of context, and removal of harmful information.
5 BENIFITES OF CHAT GPT: Discover the Power of Chat GPT: 5 Benefits of chat GPT Learn how Chat GPT can enhance user engagement, increase efficiency, improve content creation, provide better customer support, and save costs. Check out our PowerPoint presentation to explore the possibilities of this cutting-edge technology.
The GPT-3 model architecture is a transformer-based neural network that has been fed 45TB of text data. It is non-deterministic, in the sense that given the same input, multiple runs of the engine will return different responses. Also, it is trained on massive datasets that covered the entire web and contained 500B tokens, humongous 175 Billion parameters, a more than 100x increase over GPT-2, which was considered state-of-the-art technology with 1.5 billion parameters.
If you are considering using either language model, but aren’t quite sure which one’s the best fit for your intended purpose, read on for a ChatGPT vs. GPT-3 head-to-head comparison where we evaluate every aspect of the language models, right from their emergence, how they work, and their suitability in different applications.
As an AI language model, ChatGPT is a program consisting of a large neural network that has been trained on vast amounts of textual data. Specifically, ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) family of models developed by OpenAI.
The updated non-technical introduction to ChatGPT SEDA March 2023.pptxSue Beckingham
This webinar provides a brief history of ChatGPT and very recent developments in MS Bing and Edge and the launch of Google's Bard. Examples of how ChatGPT can be used and what implications and issues are foreseen are discussed.
Explore the power of ChatGPT, an advanced AI language model, in this SlideShare presentation. Discover how ChatGPT can revolutionize natural language understanding and generation across various applications, from chatbots to content creation, in just a few slides.
Hello guys . im yuvraj . recently in my collage they gave a task to make pptx of topic : ChatGPT . So i would like to share with you guys ! i hope someone will be get help from this ..and dont forget to Rate my PPTX ..THANK YOU
The document summarizes a workshop on responsible and safe AI held at IIT Madras. It discusses topics like legal bias and inconsistency in large language models, bias in AI systems, and approaches to make models more interpretable and remove harmful knowledge. Live demonstrations of ChatGPT were shown to illustrate issues like factual inconsistencies and how context is needed to avoid confusion. Overall, the workshop highlighted challenges with AI systems and ongoing research efforts to address issues like bias, lack of context, and removal of harmful information.
5 BENIFITES OF CHAT GPT: Discover the Power of Chat GPT: 5 Benefits of chat GPT Learn how Chat GPT can enhance user engagement, increase efficiency, improve content creation, provide better customer support, and save costs. Check out our PowerPoint presentation to explore the possibilities of this cutting-edge technology.
The GPT-3 model architecture is a transformer-based neural network that has been fed 45TB of text data. It is non-deterministic, in the sense that given the same input, multiple runs of the engine will return different responses. Also, it is trained on massive datasets that covered the entire web and contained 500B tokens, humongous 175 Billion parameters, a more than 100x increase over GPT-2, which was considered state-of-the-art technology with 1.5 billion parameters.
If you are considering using either language model, but aren’t quite sure which one’s the best fit for your intended purpose, read on for a ChatGPT vs. GPT-3 head-to-head comparison where we evaluate every aspect of the language models, right from their emergence, how they work, and their suitability in different applications.
As an AI language model, ChatGPT is a program consisting of a large neural network that has been trained on vast amounts of textual data. Specifically, ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) family of models developed by OpenAI.
The updated non-technical introduction to ChatGPT SEDA March 2023.pptxSue Beckingham
This webinar provides a brief history of ChatGPT and very recent developments in MS Bing and Edge and the launch of Google's Bard. Examples of how ChatGPT can be used and what implications and issues are foreseen are discussed.
Explore the power of ChatGPT, an advanced AI language model, in this SlideShare presentation. Discover how ChatGPT can revolutionize natural language understanding and generation across various applications, from chatbots to content creation, in just a few slides.
ChatGPT is an AI chatbot created by OpenAI to be helpful, harmless, and honest using natural language conversations. It is trained on massive datasets using reinforcement learning from human feedback. Users can access ChatGPT by creating a free account on OpenAI and starting a conversation by asking questions. While powerful, ChatGPT has limitations as it may provide incorrect answers and lacks skills like critical thinking. OpenAI is working to address issues and limitations with ChatGPT.
Human-Machine Collaboration: Using art-making AI (CrAIyon) as cited work, o...Shalin Hai-Jew
It is early days for generative art AIs. What are some ways to use these to complement one's work while staying legal (legal-ish)?
Correction: .webp is a raster format
Artificial Intelligence in Education focusing on the Skills3.0 projectInge de Waard
This presentation was given during the Elearning Fusion conference in Warsaw, Poland - April 2019. The presentation begins with a bit of algorithm, AI, machine learning history and background, provides some examples of AI in learning and finalizes with the Skills 3.0 project where InnoEnergy is working on.
This document discusses Generative Adversarial Networks (GANs) and their applications. GANs use two neural networks, a generator and discriminator, that compete against each other in a game theoretic framework. The generator learns to generate new data instances to fool the discriminator, while the discriminator learns to assess examples as real or generated. GANs have been used to generate realistic images, videos and more. However, training GANs is challenging and they lack interpretability. The document provides an overview of GAN concepts and applications, with tips for building and training effective GAN models.
Through a comprehensive exploration, this talk would intend to uncover the inner workings of GANs and demystify their training process. This talk shall help you gain insights into the different types of GANs, such as conditional GANs and style-based GANs, and how they contribute to the advancement of generative AI. To truly appreciate the significance of GANs, this talk will also discuss their wide-ranging industrial applications, spanning image synthesis, video generation, data augmentation, and virtual reality.
ChatGPT is an AI language model developed by OpenAI to generate human-like text responses to input prompts. It was trained on a database of 570GB of text from books, articles and websites. The model aims to answer questions quickly while allowing users to provide feedback on the quality of responses. Some advantages of ChatGPT include its flexibility, speed, large vocabulary and cost effectiveness. However, limitations include the potential for providing wrong, biased or incomplete answers since it does not have human-level intelligence. OpenAI competes with other large tech companies like Google, Microsoft and IBM in the field of AI research.
ChatGPT is a cutting-edge language model developed by OpenAI that is changing the way people interact with artificial intelligence. With advanced machine learning algorithms and a highly flexible design, ChatGPT makes it easy to generate human-like text based on a wide range of prompts. Whether you're building a chatbot, composing a report, or creating some creative writing, ChatGPT has you covered. One of the biggest advantages of ChatGPT is its ability to learn from the vast amounts of text data it has been trained on, continuously improving its performance over time. This means that the responses generated by ChatGPT are more accurate and relevant than ever before.
GPT-3 is a large language model trained by OpenAI to be task agnostic. It has 175 billion parameters compared to its predecessor GPT-2 which has 1.5 billion parameters. OpenAI plans to provide API access to select partners to query GPT-3 rather than releasing the full model. This could accelerate the development of NLP applications and allow startups to build minimum viable products without training their own models if GPT-3 performance is good enough. However, startups relying solely on the API may lack expertise to improve upon initial products.
The document discusses the concept of inattentional blindness, where our perception can fail to notice things that are in plain sight due to where our focus is directed. It provides examples of how human perception works, such as only seeing a small part of our vision clearly at once and tending to see what we expect. The document suggests various techniques testers can use to help reduce the effects of inattentional blindness, such as pairing with others, taking detailed notes, varying test inputs and goals, and taking brief breaks to refocus perception.
Details regarding the working of chatgpt and basic use cases can be found in this presentation. The presentation also contains details regarding other Open AI products and their useability. You can also find ways in which chatgpt can be implemented in existing App and websites.
ChatGPT is an AI chatbot created by OpenAI to conduct conversational dialogue using natural language. It was trained on vast amounts of internet data using transformer models. ChatGPT can be used for writing, translation, content generation, and as a virtual assistant. While helpful, it lacks human emotional intelligence and current real-world knowledge. OpenAI aims to expand ChatGPT's abilities while ensuring ethical usage.
The document discusses the Blue Brain project which aims to create the first virtual brain through highly advanced computer simulation. The Blue Brain would function similar to a human brain, allowing it to think, learn, remember, and process information. It would be created using supercomputers and neural networking to accurately mimic the structures and activity of the natural human brain. The goal of the Blue Brain project is to upload a person's memories, skills, and intelligence into a virtual brain platform that could exist indefinitely even after death.
This powerpoint is from my psychology class. It has borrowed material and some duplicate slides due to some rearranging I was doing in the presentation.
1) A brain-computer interface (BCI) enables communication without muscular activity by detecting brain signals.
2) BCI applications include communication assistance, controlling devices like wheelchairs or robotic arms, and entertainment like games.
3) BCI systems work by acquiring brain signals, preprocessing them, extracting features, classifying intentions, and translating them into device commands.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.pdfPo-Chuan Chen
The document describes the RAG (Retrieval-Augmented Generation) model for knowledge-intensive NLP tasks. RAG combines a pre-trained language generator (BART) with a dense passage retriever (DPR) to retrieve and incorporate relevant knowledge from Wikipedia. RAG achieves state-of-the-art results on open-domain question answering, abstractive question answering, and fact verification by leveraging both parametric knowledge from the generator and non-parametric knowledge retrieved from Wikipedia. The retrieved knowledge can also be updated without retraining the model.
Robotics is a promising path towards developing artificial general intelligence (AGI) according to the author. Robotics presents a complex environment without an obvious reward function, requiring general problem solving abilities. Transfer learning techniques can be used to train robots in simulation and transfer policies to real robots. Self-play, where an AI agent competes against copies of itself, may be a way to develop general dexterity and complex strategies as seen with games like Go and Dota 2. The author believes self-play could help train AGI by incentivizing the evolution of general intelligence through social and competitive problems in an open-ended environment.
Artificial intelligence (AI) is the intelligence exhibited by machines as defined in an article discussing AI. The article outlines that the Turing Test examines a machine's ability to behave like a human, and that applications of AI include expert systems that emulate human decision making, object recognition to identify real-world objects, and automatic programming to generate code from easier human specifications. The article also states that as technology continues to rapidly improve, AI will likely become more sophisticated over time.
This was the training session follow up to the general talk on ChatGPT. This talk has a bit more detail on prompt writing along with the power and limitations of ChatGPT for Marketing.
The document discusses innovation techniques for businesses. It outlines two types of innovation: innovation for growth including new products, services, and business models; and efficiency/process innovation including IT, marketing, and operations. The document then provides examples of ideation techniques such as questioning, metaphors, visuals, and fantasy. It also discusses selling strategies and provides a case study on selling life insurance to Catholics with proposed solutions. Overall, the document serves as a resource for businesses on innovation and ideation techniques.
Large Language Models, No-Code, and Responsible AI - Trends in Applied NLP in...David Talby
An April 2023 presentation to the AMIA working group on natural language processing. The talk focuses on three current trends in NLP and how they apply in healthcare: Large language models, No-code, and Responsible AI.
ChatGPT is an AI chatbot created by OpenAI to be helpful, harmless, and honest using natural language conversations. It is trained on massive datasets using reinforcement learning from human feedback. Users can access ChatGPT by creating a free account on OpenAI and starting a conversation by asking questions. While powerful, ChatGPT has limitations as it may provide incorrect answers and lacks skills like critical thinking. OpenAI is working to address issues and limitations with ChatGPT.
Human-Machine Collaboration: Using art-making AI (CrAIyon) as cited work, o...Shalin Hai-Jew
It is early days for generative art AIs. What are some ways to use these to complement one's work while staying legal (legal-ish)?
Correction: .webp is a raster format
Artificial Intelligence in Education focusing on the Skills3.0 projectInge de Waard
This presentation was given during the Elearning Fusion conference in Warsaw, Poland - April 2019. The presentation begins with a bit of algorithm, AI, machine learning history and background, provides some examples of AI in learning and finalizes with the Skills 3.0 project where InnoEnergy is working on.
This document discusses Generative Adversarial Networks (GANs) and their applications. GANs use two neural networks, a generator and discriminator, that compete against each other in a game theoretic framework. The generator learns to generate new data instances to fool the discriminator, while the discriminator learns to assess examples as real or generated. GANs have been used to generate realistic images, videos and more. However, training GANs is challenging and they lack interpretability. The document provides an overview of GAN concepts and applications, with tips for building and training effective GAN models.
Through a comprehensive exploration, this talk would intend to uncover the inner workings of GANs and demystify their training process. This talk shall help you gain insights into the different types of GANs, such as conditional GANs and style-based GANs, and how they contribute to the advancement of generative AI. To truly appreciate the significance of GANs, this talk will also discuss their wide-ranging industrial applications, spanning image synthesis, video generation, data augmentation, and virtual reality.
ChatGPT is an AI language model developed by OpenAI to generate human-like text responses to input prompts. It was trained on a database of 570GB of text from books, articles and websites. The model aims to answer questions quickly while allowing users to provide feedback on the quality of responses. Some advantages of ChatGPT include its flexibility, speed, large vocabulary and cost effectiveness. However, limitations include the potential for providing wrong, biased or incomplete answers since it does not have human-level intelligence. OpenAI competes with other large tech companies like Google, Microsoft and IBM in the field of AI research.
ChatGPT is a cutting-edge language model developed by OpenAI that is changing the way people interact with artificial intelligence. With advanced machine learning algorithms and a highly flexible design, ChatGPT makes it easy to generate human-like text based on a wide range of prompts. Whether you're building a chatbot, composing a report, or creating some creative writing, ChatGPT has you covered. One of the biggest advantages of ChatGPT is its ability to learn from the vast amounts of text data it has been trained on, continuously improving its performance over time. This means that the responses generated by ChatGPT are more accurate and relevant than ever before.
GPT-3 is a large language model trained by OpenAI to be task agnostic. It has 175 billion parameters compared to its predecessor GPT-2 which has 1.5 billion parameters. OpenAI plans to provide API access to select partners to query GPT-3 rather than releasing the full model. This could accelerate the development of NLP applications and allow startups to build minimum viable products without training their own models if GPT-3 performance is good enough. However, startups relying solely on the API may lack expertise to improve upon initial products.
The document discusses the concept of inattentional blindness, where our perception can fail to notice things that are in plain sight due to where our focus is directed. It provides examples of how human perception works, such as only seeing a small part of our vision clearly at once and tending to see what we expect. The document suggests various techniques testers can use to help reduce the effects of inattentional blindness, such as pairing with others, taking detailed notes, varying test inputs and goals, and taking brief breaks to refocus perception.
Details regarding the working of chatgpt and basic use cases can be found in this presentation. The presentation also contains details regarding other Open AI products and their useability. You can also find ways in which chatgpt can be implemented in existing App and websites.
ChatGPT is an AI chatbot created by OpenAI to conduct conversational dialogue using natural language. It was trained on vast amounts of internet data using transformer models. ChatGPT can be used for writing, translation, content generation, and as a virtual assistant. While helpful, it lacks human emotional intelligence and current real-world knowledge. OpenAI aims to expand ChatGPT's abilities while ensuring ethical usage.
The document discusses the Blue Brain project which aims to create the first virtual brain through highly advanced computer simulation. The Blue Brain would function similar to a human brain, allowing it to think, learn, remember, and process information. It would be created using supercomputers and neural networking to accurately mimic the structures and activity of the natural human brain. The goal of the Blue Brain project is to upload a person's memories, skills, and intelligence into a virtual brain platform that could exist indefinitely even after death.
This powerpoint is from my psychology class. It has borrowed material and some duplicate slides due to some rearranging I was doing in the presentation.
1) A brain-computer interface (BCI) enables communication without muscular activity by detecting brain signals.
2) BCI applications include communication assistance, controlling devices like wheelchairs or robotic arms, and entertainment like games.
3) BCI systems work by acquiring brain signals, preprocessing them, extracting features, classifying intentions, and translating them into device commands.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.pdfPo-Chuan Chen
The document describes the RAG (Retrieval-Augmented Generation) model for knowledge-intensive NLP tasks. RAG combines a pre-trained language generator (BART) with a dense passage retriever (DPR) to retrieve and incorporate relevant knowledge from Wikipedia. RAG achieves state-of-the-art results on open-domain question answering, abstractive question answering, and fact verification by leveraging both parametric knowledge from the generator and non-parametric knowledge retrieved from Wikipedia. The retrieved knowledge can also be updated without retraining the model.
Robotics is a promising path towards developing artificial general intelligence (AGI) according to the author. Robotics presents a complex environment without an obvious reward function, requiring general problem solving abilities. Transfer learning techniques can be used to train robots in simulation and transfer policies to real robots. Self-play, where an AI agent competes against copies of itself, may be a way to develop general dexterity and complex strategies as seen with games like Go and Dota 2. The author believes self-play could help train AGI by incentivizing the evolution of general intelligence through social and competitive problems in an open-ended environment.
Artificial intelligence (AI) is the intelligence exhibited by machines as defined in an article discussing AI. The article outlines that the Turing Test examines a machine's ability to behave like a human, and that applications of AI include expert systems that emulate human decision making, object recognition to identify real-world objects, and automatic programming to generate code from easier human specifications. The article also states that as technology continues to rapidly improve, AI will likely become more sophisticated over time.
This was the training session follow up to the general talk on ChatGPT. This talk has a bit more detail on prompt writing along with the power and limitations of ChatGPT for Marketing.
The document discusses innovation techniques for businesses. It outlines two types of innovation: innovation for growth including new products, services, and business models; and efficiency/process innovation including IT, marketing, and operations. The document then provides examples of ideation techniques such as questioning, metaphors, visuals, and fantasy. It also discusses selling strategies and provides a case study on selling life insurance to Catholics with proposed solutions. Overall, the document serves as a resource for businesses on innovation and ideation techniques.
Large Language Models, No-Code, and Responsible AI - Trends in Applied NLP in...David Talby
An April 2023 presentation to the AMIA working group on natural language processing. The talk focuses on three current trends in NLP and how they apply in healthcare: Large language models, No-code, and Responsible AI.
Krzykliwy ubiór, pusta gadanina, teatralna egzaltacja i wulgarny erotyzm. Osoba histrioniczna zawsze chce być w centrum zainteresowania. Co ma do tego fenomen psychopatii?
Z książki "Depresja niewidzialny wróg" dowiesz się także o sposobach leczenia depresji za pomocą terapii. Autorka wytłumaczy aspekty leczenia lekami i wyjaśni, dlaczego leczenie przy ich pomocy jest źle postrzegane, co niekoniecznie jest dobre.
Jest to pierwsza część prezentacji, w której podjęłam próbę uporządkowania nurtów i systemów psychoterapeutycznych.Ta część zawiera systemy od psychoanalizy Freuda do systemów opartych na doświadczeniu i Gestalt, w drugiej jej części zakończę na podejściach integracyjno-eklektycznych.
Festiwal Inspiracji 2014 Marek Kowalczyk Jak sobie radzić z przeciwnościami ...MANDARINE Project Partners
Każdy z nas doświadcza trudności, przeciwności losu, a czasem tragedii. Nie wszystko idzie zawsze tak, jak byśmy chcieli. Ważne projekty się nie udają. Popełniamy błędy. Tracimy to, co dla nas najcenniejsze… To nieodłączna część życia.
Na bazie moich doświadczeń z wielomiesięcznego pobytu w szpitalu w Aninie, dzielę się sprawdzonymi metodami radzenia sobie z trudnościami i przeciwnościami losu.
14. Inne
Jeśli ktoś jest chory, ma dużą ilość cierpienia psychicznego w sobie, i
takiego nie ułożonego, niedostępnego jego własnemu myśleniu, to wydaje mi
się, że jest po prostu galaretowaty w dużej części, to wydaje mi się, że wiedza,
która ma swoją taką twardość pewną, po prostu mało mu się przyda. Nie
będzie mógł ten pacjent tego przyjąć. Dlatego wydaje mi się, że trochę się
trzeba samemu rozpuścić, a po drugie, że trzeba dostarczyć ten rodzaj wiedzy,
który ta galareta jest w stanie właśnie zaabsorbować. To musi być wiedza
galaretowata, to znaczy taka, co dopiero powstała, świeżo.
17. Wpływ na pacjenta
Umożliwia przeniesienie (“uczłowiecza”)
Przynosi ulgę (modeluje)
Frustruje pragnienie opieki
18. Wpływ na relację
Burzy zaufanie lub buduje współpracę
Pozwala mądrze pytać
Porusza emocjonalnie
Chroni granice
Wskazuje koniec
19. Postawy - od i do
Jest kilka takich odpowiedzi. Pierwsza, jaka mi się nasuwa, to że jej
nie znoszę. Nienawidzę jej serdecznie, ale niestety nie z wzajemnością. (...)
Druga to byłaby taka, że (...) również ją lubię, bardziej, że ją szanuję tą
niewiedzę, (...) i że mój stosunek do niewiedzy jest pełen sprzeczności.
Powiedziałbym, gdybym miał jeszcze innej metafory użyć, to bym
powiedział, że kocham tą niewiedzę taką trudną miłością. Taka miłość
trudna, jaką się ma do dziecka, które sprawia kłopoty, albo do żony po
dwudziestu latach bycia z nią.
20. Postawy - od
Unikam
Zapobiegam/Superwizuję/Kieruję do kogoś innego/Nie przyznaję się
Koncentruję się na pacjencie
Biorę wiedzę w nawias/Nie spisuję się/Dopytuję/Przegaduję wprost/Empatyzuję
Wytrzymuję
Czekam/Puszczam uwagę/Zatrzymuję się/Wyodrębniam się/Wątpię/Dbam o
higienę psychiczną/Konteneruję/Zamarzam/Sięgam po jokera/Akceptuję
21. Postawy - do
Poszukuję
Staram się o to/Cieszę się/Dbam/Unikam wiedzenia lepiej
Wykorzystuję
Dzielę się z pacjentem/Konceptualizuję/Doprecyzowuję/Różnicuję/Główkuję/
Modeluję/Wykorzystuję paradoks/Śnię/Zwracam się do pacjenta o pomoc
Zarządzam
Nawiguję względem celu/Stwarzam warunki/Trenuję pacjenta/Nie-pomagam/Zachowuję się
elegancko/Szukam równowagi
23. Morze Wczesnodziecięce
Obiektem zainteresowania psychoanalityka jest punkt, w którym
wiedza się rozpada i staje niestabilna jako niewiedzenie, które jest
prawdziwym wiedzeniem na poziomie nieświadomej emocjonalnej
komunikacji pacjenta
(Larner, 2000, s. 67).
24. Morze Społeczne
Zmiana czy transformacja jest generowana przez język; jest
częścią wspólnie tworzonego procesu rozumienia i jest
przepełniona niepewnością i ryzykiem.
(Anderson, 2012)
25. Morze Empiryczne
Spuścizną Karla Poppera (1994) w filozofii nauki jest założenie, że prawda
sama w sobie jest niepoznawalna. Nie można udowodnić prawdziwości danego
twierdzenia. Można natomiast spróbować je podważyć. Istotą nauki jest
zbliżanie się do prawdy przez wnikliwe badanie hipotez na temat rzeczywistości
i próbę ich obalenia. Terapeuta poznawczy stosuje podobną metodę (...).
Pamięta, że przedmiotem terapii nie jest prawdziwość przekonań, lecz zależność
między nimi a cierpieniem, czy trudnościami doświadczanymi przez pacjenta.
(Popiel, Pragłowska, 2008)
27. Ocean Wspólny
Z perspektywy dialektyki nie można zrozumieć wybranych elementów
bez zajmowania się całością. Rzeczywistość jest holistyczna, mimo iż wydaje
się nam, że potrafimy rozsądnie rozpatrywać jej części czy fragmenty. (...)
Klinicysta nigdy nie ma "pełnego obrazu pacjenta". Terapeuci są raczej jak
ślepcy, którym pozwolono dotknąć słonia i opisać go, a każdy z nich był
pewien, że całe zwierzę wygląda tak, jak poznana część. Dlatego mówili: "Słoń
jest duży, płaski i wiotki", "Ależ skąd! Słoń jest długi cienki i walcowaty", "Na
pewno nie. Słoń jest twardy jak kość".
(Dimef, Koerner, 2012)
28. Ocean Wspólny
Poznanie rzeczywistości nie jest możliwe z takich samych
powodów, dla których nie można śpiewać ziemniaków; można je
hodować lub zbierać czy jeść, ale nie śpiewać. Rzeczywistość musi
być “byta”
(Bion, 1965)