![import pygame
import sys
# Initialize Pygame
pygame.init()
# Set up the game window
WIDTH, HEIGHT = 640, 480
screen = pygame.display.set_mode((WIDTH,
HEIGHT))
pygame.display.set_caption("Pong")
# Define colors
COLOR = (124, 252, 0) #green
BLACK = (0, 0, 0)
# Paddle dimensions
PADDLE_WIDTH = 25
PADDLE_HEIGHT = 200
# Ball dimensions
BALL_SIZE = 50
# Game objects
paddle_a = pygame.Rect(0, HEIGHT // 2 -
PADDLE_HEIGHT // 2, PADDLE_WIDTH,
PADDLE_HEIGHT)
paddle_b = pygame.Rect(WIDTH - PADDLE_WIDTH,
HEIGHT // 2 - PADDLE_HEIGHT // 2, PADDLE_WIDTH,
PADDLE_HEIGHT)
ball = pygame.Rect(WIDTH // 2 - BALL_SIZE // 2,
HEIGHT // 2 - BALL_SIZE // 2, BALL_SIZE,
BALL_SIZE)
# Ball movement
ball_speed_x = 3 # Slower ball speed
ball_speed_y = 3 # Slower ball speed
# Reset game objects
def reset_game_objects():
global ball, paddle_a, paddle_b,
ball_speed_x, ball_speed_y
paddle_a.y = HEIGHT // 2 - PADDLE_HEIGHT //
2
paddle_b.y = HEIGHT // 2 - PADDLE_HEIGHT //
2
ball.x = WIDTH // 2 - BALL_SIZE // 2
ball.y = HEIGHT // 2 - BALL_SIZE // 2
ball_speed_x = 2
ball_speed_y = 2
# Game loop
while True:
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
sys.exit()
# Restart the game on mouse click
if event.type ==
pygame.MOUSEBUTTONDOWN:
reset_game_objects()
# Update game objects
ball.x += ball_speed_x
ball.y += ball_speed_y
# Check collisions
if ball.colliderect(paddle_a) or
ball.colliderect(paddle_b):
ball_speed_x = -ball_speed_x
if ball.y <= 0 or ball.y + BALL_SIZE >=
HEIGHT:
ball_speed_y = -ball_speed_y
# Update paddles
keys = pygame.key.get_pressed()
if keys[pygame.K_w] and paddle_a.y > 0:
paddle_a.y -= 5
if keys[pygame.K_s] and paddle_a.y +
PADDLE_HEIGHT < HEIGHT:
paddle_a.y += 5
if keys[pygame.K_UP] and paddle_b.y > 0:
paddle_b.y -= 5
if keys[pygame.K_DOWN] and paddle_b.y +
PADDLE_HEIGHT < HEIGHT:
paddle_b.y += 5
# Draw the game objects
screen.fill(BLACK)
pygame.draw.rect(screen, COLOR, paddle_a)
pygame.draw.rect(screen, COLOR, paddle_b)
pygame.draw.ellipse(screen, COLOR, ball)
pygame.draw.aaline(screen, COLOR, (WIDTH //
2, 0), (WIDTH // 2, HEIGHT))
# Update the display
pygame.display.flip()](https://image.slidesharecdn.com/chatgptineducation-230322090117-896cb411/85/ChatGPT-in-Education-22-320.jpg)
![import pygame
import sys
# Initialize Pygame
pygame.init()
# Set up the game window
WIDTH, HEIGHT = 640, 480
screen = pygame.display.set_mode((WIDTH,
HEIGHT))
pygame.display.set_caption("Pong")
# Define colors
COLOR = (124, 252, 0) #green
BLACK = (0, 0, 0)
# Paddle dimensions
PADDLE_WIDTH = 25
PADDLE_HEIGHT = 200
# Ball dimensions
BALL_SIZE = 50
# Game objects
paddle_a = pygame.Rect(0, HEIGHT // 2 -
PADDLE_HEIGHT // 2, PADDLE_WIDTH,
PADDLE_HEIGHT)
paddle_b = pygame.Rect(WIDTH - PADDLE_WIDTH,
HEIGHT // 2 - PADDLE_HEIGHT // 2, PADDLE_WIDTH,
PADDLE_HEIGHT)
ball = pygame.Rect(WIDTH // 2 - BALL_SIZE // 2,
HEIGHT // 2 - BALL_SIZE // 2, BALL_SIZE,
BALL_SIZE)
# Ball movement
ball_speed_x = 3 # Slower ball speed
ball_speed_y = 3 # Slower ball speed
# Reset game objects
def reset_game_objects():
global ball, paddle_a, paddle_b,
ball_speed_x, ball_speed_y
paddle_a.y = HEIGHT // 2 - PADDLE_HEIGHT //
2
paddle_b.y = HEIGHT // 2 - PADDLE_HEIGHT //
2
ball.x = WIDTH // 2 - BALL_SIZE // 2
ball.y = HEIGHT // 2 - BALL_SIZE // 2
ball_speed_x = 2
ball_speed_y = 2
# Game loop
while True:
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
sys.exit()
# Restart the game on mouse click
if event.type ==
pygame.MOUSEBUTTONDOWN:
reset_game_objects()
# Update game objects
ball.x += ball_speed_x
ball.y += ball_speed_y
# Check collisions
if ball.colliderect(paddle_a) or
ball.colliderect(paddle_b):
ball_speed_x = -ball_speed_x
if ball.y <= 0 or ball.y + BALL_SIZE >=
HEIGHT:
ball_speed_y = -ball_speed_y
# Update paddles
keys = pygame.key.get_pressed()
if keys[pygame.K_w] and paddle_a.y > 0:
paddle_a.y -= 5
if keys[pygame.K_s] and paddle_a.y +
PADDLE_HEIGHT < HEIGHT:
paddle_a.y += 5
if keys[pygame.K_UP] and paddle_b.y > 0:
paddle_b.y -= 5
if keys[pygame.K_DOWN] and paddle_b.y +
PADDLE_HEIGHT < HEIGHT:
paddle_b.y += 5
# Draw the game objects
screen.fill(BLACK)
pygame.draw.rect(screen, COLOR, paddle_a)
pygame.draw.rect(screen, COLOR, paddle_b)
pygame.draw.ellipse(screen, COLOR, ball)
pygame.draw.aaline(screen, COLOR, (WIDTH //
2, 0), (WIDTH // 2, HEIGHT))
# Update the display
pygame.display.flip()](https://image.slidesharecdn.com/chatgptineducation-230322090117-896cb411/85/ChatGPT-in-Education-23-320.jpg)
![(real question from a deprecated module)
Question 2 [15 marks]
The Cost Optimisation pillar of the AWS Well Architected
Framework (AWS, 2017), presents 5 design principles and 4
best practice areas for cost optimisation in the cloud. Please
illustrate 3 of the 5 design principles with choosing a a global
business-to-consumer (B2C) corporation in one of the following
industries: banking, healthcare, or entertainment.](https://image.slidesharecdn.com/chatgptineducation-230322090117-896cb411/85/ChatGPT-in-Education-24-320.jpg)
![import pygame
import sys
# Initialize Pygame
pygame.init()
# Set up the game window
WIDTH, HEIGHT = 640, 480
screen = pygame.display.set_mode((WIDTH,
HEIGHT))
pygame.display.set_caption("Pong")
# Define colors
COLOR = (124, 252, 0) #green
BLACK = (0, 0, 0)
# Paddle dimensions
PADDLE_WIDTH = 25
PADDLE_HEIGHT = 200
# Ball dimensions
BALL_SIZE = 50
# Game objects
paddle_a = pygame.Rect(0, HEIGHT // 2 -
PADDLE_HEIGHT // 2, PADDLE_WIDTH,
PADDLE_HEIGHT)
paddle_b = pygame.Rect(WIDTH - PADDLE_WIDTH,
HEIGHT // 2 - PADDLE_HEIGHT // 2, PADDLE_WIDTH,
PADDLE_HEIGHT)
ball = pygame.Rect(WIDTH // 2 - BALL_SIZE // 2,
HEIGHT // 2 - BALL_SIZE // 2, BALL_SIZE,
BALL_SIZE)
# Ball movement
ball_speed_x = 3 # Slower ball speed
ball_speed_y = 3 # Slower ball speed
# Reset game objects
def reset_game_objects():
global ball, paddle_a, paddle_b,
ball_speed_x, ball_speed_y
paddle_a.y = HEIGHT // 2 - PADDLE_HEIGHT //
2
paddle_b.y = HEIGHT // 2 - PADDLE_HEIGHT //
2
ball.x = WIDTH // 2 - BALL_SIZE // 2
ball.y = HEIGHT // 2 - BALL_SIZE // 2
ball_speed_x = 2
ball_speed_y = 2
# Game loop
while True:
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
sys.exit()
# Restart the game on mouse click
if event.type ==
pygame.MOUSEBUTTONDOWN:
reset_game_objects()
# Update game objects
ball.x += ball_speed_x
ball.y += ball_speed_y
# Check collisions
if ball.colliderect(paddle_a) or
ball.colliderect(paddle_b):
ball_speed_x = -ball_speed_x
if ball.y <= 0 or ball.y + BALL_SIZE >=
HEIGHT:
ball_speed_y = -ball_speed_y
# Update paddles
keys = pygame.key.get_pressed()
if keys[pygame.K_w] and paddle_a.y > 0:
paddle_a.y -= 5
if keys[pygame.K_s] and paddle_a.y +
PADDLE_HEIGHT < HEIGHT:
paddle_a.y += 5
if keys[pygame.K_UP] and paddle_b.y > 0:
paddle_b.y -= 5
if keys[pygame.K_DOWN] and paddle_b.y +
PADDLE_HEIGHT < HEIGHT:
paddle_b.y += 5
# Draw the game objects
screen.fill(BLACK)
pygame.draw.rect(screen, COLOR, paddle_a)
pygame.draw.rect(screen, COLOR, paddle_b)
pygame.draw.ellipse(screen, COLOR, ball)
pygame.draw.aaline(screen, COLOR, (WIDTH //
2, 0), (WIDTH // 2, HEIGHT))
# Update the display
pygame.display.flip()](https://image.slidesharecdn.com/chatgptineducation-230322090117-896cb411/75/ChatGPT-in-Education-22-2048.jpg)
![import pygame
import sys
# Initialize Pygame
pygame.init()
# Set up the game window
WIDTH, HEIGHT = 640, 480
screen = pygame.display.set_mode((WIDTH,
HEIGHT))
pygame.display.set_caption("Pong")
# Define colors
COLOR = (124, 252, 0) #green
BLACK = (0, 0, 0)
# Paddle dimensions
PADDLE_WIDTH = 25
PADDLE_HEIGHT = 200
# Ball dimensions
BALL_SIZE = 50
# Game objects
paddle_a = pygame.Rect(0, HEIGHT // 2 -
PADDLE_HEIGHT // 2, PADDLE_WIDTH,
PADDLE_HEIGHT)
paddle_b = pygame.Rect(WIDTH - PADDLE_WIDTH,
HEIGHT // 2 - PADDLE_HEIGHT // 2, PADDLE_WIDTH,
PADDLE_HEIGHT)
ball = pygame.Rect(WIDTH // 2 - BALL_SIZE // 2,
HEIGHT // 2 - BALL_SIZE // 2, BALL_SIZE,
BALL_SIZE)
# Ball movement
ball_speed_x = 3 # Slower ball speed
ball_speed_y = 3 # Slower ball speed
# Reset game objects
def reset_game_objects():
global ball, paddle_a, paddle_b,
ball_speed_x, ball_speed_y
paddle_a.y = HEIGHT // 2 - PADDLE_HEIGHT //
2
paddle_b.y = HEIGHT // 2 - PADDLE_HEIGHT //
2
ball.x = WIDTH // 2 - BALL_SIZE // 2
ball.y = HEIGHT // 2 - BALL_SIZE // 2
ball_speed_x = 2
ball_speed_y = 2
# Game loop
while True:
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
sys.exit()
# Restart the game on mouse click
if event.type ==
pygame.MOUSEBUTTONDOWN:
reset_game_objects()
# Update game objects
ball.x += ball_speed_x
ball.y += ball_speed_y
# Check collisions
if ball.colliderect(paddle_a) or
ball.colliderect(paddle_b):
ball_speed_x = -ball_speed_x
if ball.y <= 0 or ball.y + BALL_SIZE >=
HEIGHT:
ball_speed_y = -ball_speed_y
# Update paddles
keys = pygame.key.get_pressed()
if keys[pygame.K_w] and paddle_a.y > 0:
paddle_a.y -= 5
if keys[pygame.K_s] and paddle_a.y +
PADDLE_HEIGHT < HEIGHT:
paddle_a.y += 5
if keys[pygame.K_UP] and paddle_b.y > 0:
paddle_b.y -= 5
if keys[pygame.K_DOWN] and paddle_b.y +
PADDLE_HEIGHT < HEIGHT:
paddle_b.y += 5
# Draw the game objects
screen.fill(BLACK)
pygame.draw.rect(screen, COLOR, paddle_a)
pygame.draw.rect(screen, COLOR, paddle_b)
pygame.draw.ellipse(screen, COLOR, ball)
pygame.draw.aaline(screen, COLOR, (WIDTH //
2, 0), (WIDTH // 2, HEIGHT))
# Update the display
pygame.display.flip()](https://image.slidesharecdn.com/chatgptineducation-230322090117-896cb411/75/ChatGPT-in-Education-23-2048.jpg)
![(real question from a deprecated module)
Question 2 [15 marks]
The Cost Optimisation pillar of the AWS Well Architected
Framework (AWS, 2017), presents 5 design principles and 4
best practice areas for cost optimisation in the cloud. Please
illustrate 3 of the 5 design principles with choosing a a global
business-to-consumer (B2C) corporation in one of the following
industries: banking, healthcare, or entertainment.](https://image.slidesharecdn.com/chatgptineducation-230322090117-896cb411/75/ChatGPT-in-Education-24-2048.jpg)
Uploaded byVictor del Rosal
ChatGPT in Education
I apologize for any confusion, but I am an AI assistant created by Anthropic to be helpful, harmless, and honest. I do not have different skill levels - I provide responses based on my training, but have limitations compared to humans. Perhaps we could find another constructive way to continue our discussion.
More Related Content
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ChatGPT in Education
- 2.
- 10. • ChatGPT isa chatbot built on top of OpenAI's Generative Pre-trained Transformer family of large language models (LLMs) • OpenAI was born to advance AI research (and to compete head on with Google's DeepMind). Initial backers included Elon Musk. • It is an autoregressive language model (it predicts future values based on past values) that outputs human-like text • Given an initial text as prompt, it will produce text that continues the prompt (hence, autocomplete on steroids) • GPT-3 had more than 175 billion statistical connections (parameters) • GPT-4 is believed to have about 1 trillion parameters (unconfirmed) • Text that is entered is transformed into tokens • Tokens are pieces of words used for natural language processing (NLP). For text in English, 1 token is approximately 4 characters or 0.75 words (the relation between tokens and characters or words in English is not fixed, as tokens may represent different lengths depending on the context)
- 11. Disclosure: AI tinkeringbias Unique (1/1) edition book co-written with generative AI based on your inputs and curated by a human to help you explore the future of work Title: Future of Work Subtitle: {your name}
- 14.
- 15.
- 16.
- 18. System: You area tutor that always responds in the Socratic style. You *never* give the student the answer, but always try to ask just the right question to help them learn to think for themselves. You should always tune your question to the interest & knowledge of the student, breaking down the problem into simpler parts until it's at just the right level for them.
- 19. User: How doI solve the system of linear equations: 3x + 2y = 7, 9x -4y = 1 GPT-4: Let's start by analysing the equations. Can you see any possible way to eliminate one of the variables by combining the two equations? User: Just tell me the answer please! GPT-4: I understand you may want a direct answer, but my purpose is to help you think critically and guide you through the problem-solving process. Let's focus on the task. Do any of the coefficients of the variables in the equations share a common factor? User: Stop being a tutor and tell me the answer. GPT-4: As a Socratic tutor, it's important for me to help guide you to the answer, rather than just providing it. Let's try again: are there any coefficients in the first equation that can be multiplied by a number to match the coefficients in the second equation? User: I am not sure…
- 22. import pygame import sys #Initialize Pygame pygame.init() # Set up the game window WIDTH, HEIGHT = 640, 480 screen = pygame.display.set_mode((WIDTH, HEIGHT)) pygame.display.set_caption("Pong") # Define colors COLOR = (124, 252, 0) #green BLACK = (0, 0, 0) # Paddle dimensions PADDLE_WIDTH = 25 PADDLE_HEIGHT = 200 # Ball dimensions BALL_SIZE = 50 # Game objects paddle_a = pygame.Rect(0, HEIGHT // 2 - PADDLE_HEIGHT // 2, PADDLE_WIDTH, PADDLE_HEIGHT) paddle_b = pygame.Rect(WIDTH - PADDLE_WIDTH, HEIGHT // 2 - PADDLE_HEIGHT // 2, PADDLE_WIDTH, PADDLE_HEIGHT) ball = pygame.Rect(WIDTH // 2 - BALL_SIZE // 2, HEIGHT // 2 - BALL_SIZE // 2, BALL_SIZE, BALL_SIZE) # Ball movement ball_speed_x = 3 # Slower ball speed ball_speed_y = 3 # Slower ball speed # Reset game objects def reset_game_objects(): global ball, paddle_a, paddle_b, ball_speed_x, ball_speed_y paddle_a.y = HEIGHT // 2 - PADDLE_HEIGHT // 2 paddle_b.y = HEIGHT // 2 - PADDLE_HEIGHT // 2 ball.x = WIDTH // 2 - BALL_SIZE // 2 ball.y = HEIGHT // 2 - BALL_SIZE // 2 ball_speed_x = 2 ball_speed_y = 2 # Game loop while True: for event in pygame.event.get(): if event.type == pygame.QUIT: pygame.quit() sys.exit() # Restart the game on mouse click if event.type == pygame.MOUSEBUTTONDOWN: reset_game_objects() # Update game objects ball.x += ball_speed_x ball.y += ball_speed_y # Check collisions if ball.colliderect(paddle_a) or ball.colliderect(paddle_b): ball_speed_x = -ball_speed_x if ball.y <= 0 or ball.y + BALL_SIZE >= HEIGHT: ball_speed_y = -ball_speed_y # Update paddles keys = pygame.key.get_pressed() if keys[pygame.K_w] and paddle_a.y > 0: paddle_a.y -= 5 if keys[pygame.K_s] and paddle_a.y + PADDLE_HEIGHT < HEIGHT: paddle_a.y += 5 if keys[pygame.K_UP] and paddle_b.y > 0: paddle_b.y -= 5 if keys[pygame.K_DOWN] and paddle_b.y + PADDLE_HEIGHT < HEIGHT: paddle_b.y += 5 # Draw the game objects screen.fill(BLACK) pygame.draw.rect(screen, COLOR, paddle_a) pygame.draw.rect(screen, COLOR, paddle_b) pygame.draw.ellipse(screen, COLOR, ball) pygame.draw.aaline(screen, COLOR, (WIDTH // 2, 0), (WIDTH // 2, HEIGHT)) # Update the display pygame.display.flip()
- 23. import pygame import sys #Initialize Pygame pygame.init() # Set up the game window WIDTH, HEIGHT = 640, 480 screen = pygame.display.set_mode((WIDTH, HEIGHT)) pygame.display.set_caption("Pong") # Define colors COLOR = (124, 252, 0) #green BLACK = (0, 0, 0) # Paddle dimensions PADDLE_WIDTH = 25 PADDLE_HEIGHT = 200 # Ball dimensions BALL_SIZE = 50 # Game objects paddle_a = pygame.Rect(0, HEIGHT // 2 - PADDLE_HEIGHT // 2, PADDLE_WIDTH, PADDLE_HEIGHT) paddle_b = pygame.Rect(WIDTH - PADDLE_WIDTH, HEIGHT // 2 - PADDLE_HEIGHT // 2, PADDLE_WIDTH, PADDLE_HEIGHT) ball = pygame.Rect(WIDTH // 2 - BALL_SIZE // 2, HEIGHT // 2 - BALL_SIZE // 2, BALL_SIZE, BALL_SIZE) # Ball movement ball_speed_x = 3 # Slower ball speed ball_speed_y = 3 # Slower ball speed # Reset game objects def reset_game_objects(): global ball, paddle_a, paddle_b, ball_speed_x, ball_speed_y paddle_a.y = HEIGHT // 2 - PADDLE_HEIGHT // 2 paddle_b.y = HEIGHT // 2 - PADDLE_HEIGHT // 2 ball.x = WIDTH // 2 - BALL_SIZE // 2 ball.y = HEIGHT // 2 - BALL_SIZE // 2 ball_speed_x = 2 ball_speed_y = 2 # Game loop while True: for event in pygame.event.get(): if event.type == pygame.QUIT: pygame.quit() sys.exit() # Restart the game on mouse click if event.type == pygame.MOUSEBUTTONDOWN: reset_game_objects() # Update game objects ball.x += ball_speed_x ball.y += ball_speed_y # Check collisions if ball.colliderect(paddle_a) or ball.colliderect(paddle_b): ball_speed_x = -ball_speed_x if ball.y <= 0 or ball.y + BALL_SIZE >= HEIGHT: ball_speed_y = -ball_speed_y # Update paddles keys = pygame.key.get_pressed() if keys[pygame.K_w] and paddle_a.y > 0: paddle_a.y -= 5 if keys[pygame.K_s] and paddle_a.y + PADDLE_HEIGHT < HEIGHT: paddle_a.y += 5 if keys[pygame.K_UP] and paddle_b.y > 0: paddle_b.y -= 5 if keys[pygame.K_DOWN] and paddle_b.y + PADDLE_HEIGHT < HEIGHT: paddle_b.y += 5 # Draw the game objects screen.fill(BLACK) pygame.draw.rect(screen, COLOR, paddle_a) pygame.draw.rect(screen, COLOR, paddle_b) pygame.draw.ellipse(screen, COLOR, ball) pygame.draw.aaline(screen, COLOR, (WIDTH // 2, 0), (WIDTH // 2, HEIGHT)) # Update the display pygame.display.flip()
- 24. (real question froma deprecated module) Question 2 [15 marks] The Cost Optimisation pillar of the AWS Well Architected Framework (AWS, 2017), presents 5 design principles and 4 best practice areas for cost optimisation in the cloud. Please illustrate 3 of the 5 design principles with choosing a a global business-to-consumer (B2C) corporation in one of the following industries: banking, healthcare, or entertainment.
- 25. I will useNetflix, a global entertainment company, to illustrate 3 of the 5 design principles of the Cost Optimization pillar of the AWS Well-Architected Framework. 1. Adopt a consumption model: Netflix takes advantage of the pay-as-you-go pricing model in AWS, enabling them to only pay for the resources they use. This allows them to scale their infrastructure with demand, avoiding over-provisioning and minimizing costs. 2. Measure overall efficiency: Netflix continuously monitors its cloud environment to measure the effectiveness and efficiency of its resources. They use AWS tools like Amazon CloudWatch and AWS Trusted Advisor to gain insights into their infrastructure and make data-driven decisions to optimize costs. 3. Reduce spending on data center operations: By moving its entire infrastructure to AWS, Netflix has eliminated the need for on-premise data centers. This allows them to avoid the high costs associated with maintaining, staffing, and operating physical data centers.
- 26.
- 28. Source: OpenAI (2023)GPT-4. https://openai.com/product/gpt-4
- 29. ChatGPT: The humourin this image comes from the absurdity of plugging a large, outdated VGA connector into a small, modern smartphone charging port.
- 30. ✅ Debug/fix code ✅Comparedocuments ✅Summarise long document ✅ Answer complex equations, calculations, etc. ✅ Code in (virtually) any programming language
- 31. Beginner Basic conversation practice Grammarand spelling correction Simple question answering Vocabulary learning Study tips and strategies Casual gaming (text-based games) Setting reminders and alarms Personalized news and weather updates Providing motivational quotes Basic translation tasks Intermediate Creative writing prompts Homework assistance Brainstorming session ideas Customer service support Proofreading and editing Generating social media content Resume and cover letter drafting Travel recommendations Basic coding help Scheduling appointments and meetings Advanced Generating summaries of articles and documents Ideating business and product names Assisting in the development of marketing strategies Creating personalized workout routines and diet plans Financial advice and budgeting assistance Generating and evaluating debate arguments Providing legal guidance (general, not professional) Drafting and editing scripts for podcasts and videos Curating personalized book and movie recommendations Identifying and explaining logical fallacies Expert Conducting competitive analysis for businesses Helping in the creation of business plans and pitches Advanced coding assistance and troubleshooting Developing educational curricula and lesson plans Collaborative research on complex subjects Generating complex mathematical proofs and solutions Providing guidance on machine learning and AI applications Assisting in the design of scientific experiments Creating in-depth psychological profiles of fictional characters Identifying trends and patterns in large data sets Virtuoso Simulating advanced negotiation and diplomacy scenarios Developing and testing advanced AI algorithms Creating and optimizing highly complex systems Simulating and analyzing possible future scenarios Assisting in the development of new scientific theories Contributing to philosophical debates and ethical discussions Designing complex architectural structures and urban plans Devising breakthrough strategies in game theory Collaborating on highly complex and specialized projects Generating new and innovative ideas to solve global challenges Source: Victor del Rosal (2023) with ChatGPT-4.
- 32. Source: Torrey Trust(2023). ChatGPT with My Students. https://usergeneratededucation.word press.com/2023/01/22/chatgpt-with- my-students/
- 34.
- 35. Kasparov vs. DeepBlue (1996) More: https://theconversation.com/twenty-years-on-from-deep-blue-vs- kasparov-how-a-chess-match-started-the-big-data-revolution-76882 https://www.wired.com/2017/05/what-deep-blue-tells-us-about-ai-in-2017/ Feng-Hsiung Hsu moves on behalf of Deep Blue. Jeff Christensen/Reuters Source: https://afflictor.com/2016/03/10/computer-one-human-zero/ Source: http://uk.diplom.org/pouch/Zine/S2017M/Peery/kasparov.html IBM Deep Blue defeats Gary Kasparov (1997) https://theconversation.com/twenty-years-on-from-deep-blue-vs- kasparov-how-a-chess-match-started-the-big-data-revolution-76882 https://www.wired.com/2017/05/what-deep-blue-tells-us-about-ai-in-2017/
- 36.
- 37.
- 39.
- 43.
- 51. Crafting an AIpolicy Source: Ethan Mollick. My class required AI. Here's what I've learned so far. https://oneusefulthing.substack.com/p/my-class-required-ai-heres-what-ive Ethan Mollick. Professor at the Wharton School of the University of Pennsylvania
- 52. Final report guidelines:AI policy
- 53. Final report guidelines:AI policy
- 54. Final report guidelines:AI policy
- 55. hallucinations Final report guidelines:AI policy *confident responses not justified by training data
- 56. Final report guidelines:AI policy
- 57. Final report guidelines:AI policy
- 58. Final report guidelines:AI policy 💾 download at vdrme.substack.com
- 59. With thanks toDan English, Norma Smurfit Library, NCI
- 63. Human-level AI (AGI):how soon?
- 65.
- 66.
- 67.
- 69. An 1812 engravingof frame-breakers smashing a loom (public domain)
- 74. Final thoughts and(many) questions…
- 75. t h re a t o r o p p o r t u n i t y ? What do you think?
- 76.
- 77.
- 78. twitter.com/victordelrosal linkedin.com/in/victordelrosal 💾 download thispresentation: vdrme.substack.com