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Man with zero coding skills creates working basketball game in 3 hours using ChatGPT
His prompts:
(1) I want to make an online JavaScript basketball game can you please help me?
(2) how can i implement and test this in dreamweaver?
(3) i need you to write the code for the entire game including:
Game Objects: You'll need to create and manage several game objects, including the ball, the hoop, and the score. You might create these as JavaScript objects with properties for their position, size, and other attributes. You'll update these in your update() function and draw them in your draw() function.
User Input: You'll need to handle user input to shoot the ball. You can use the addEventListener() function to listen for click or touch events on the canvas.
Collision Detection: To determine whether the ball goes into the hoop, you'll need some simple collision detection. This might be as simple as checking whether the ball's position is within the hoop's position.
Scoring and Time: You'll need to keep track of the player's score and the remaining time. You might update the score whenever the ball goes into the hoop, and decrease the time every frame.
(4) it ran but all it shows is a timer a dot and a line. I need it to be more functional. I want to be able to shoot a basketball in a hoop. Please help
(5) the ball is just falling off the screen when the game loads. Please fix it.
(6) can you write out the full entire javascript code
(7) when I click to shoot the ball, the ball barely jumps up. It doesn't even get close to the hoop. I want the ball and the hoop to be centered on the screen and the ball needs to be able to go through the hoop and when it does you need to add a score of 2 points to the scoreboard. I need you to improve the physics of the ball so it moves like a real basketball.
Full Transcript Here
His prompts:
(1) I want to make an online JavaScript basketball game can you please help me?
(2) how can i implement and test this in dreamweaver?
(3) i need you to write the code for the entire game including:
Game Objects: You'll need to create and manage several game objects, including the ball, the hoop, and the score. You might create these as JavaScript objects with properties for their position, size, and other attributes. You'll update these in your update() function and draw them in your draw() function.
User Input: You'll need to handle user input to shoot the ball. You can use the addEventListener() function to listen for click or touch events on the canvas.
Collision Detection: To determine whether the ball goes into the hoop, you'll need some simple collision detection. This might be as simple as checking whether the ball's position is within the hoop's position.
Scoring and Time: You'll need to keep track of the player's score and the remaining time. You might update the score whenever the ball goes into the hoop, and decrease the time every frame.
(4) it ran but all it shows is a timer a dot and a line. I need it to be more functional. I want to be able to shoot a basketball in a hoop. Please help
(5) the ball is just falling off the screen when the game loads. Please fix it.
(6) can you write out the full entire javascript code
(7) when I click to shoot the ball, the ball barely jumps up. It doesn't even get close to the hoop. I want the ball and the hoop to be centered on the screen and the ball needs to be able to go through the hoop and when it does you need to add a score of 2 points to the scoreboard. I need you to improve the physics of the ball so it moves like a real basketball.
Full Transcript Here
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Is the basketball game guy secretly a prompting pro, or luckly-good beginner?
Immediately seeing that 3 times, equally spread through the conversation, he instructs ChatGPT to summarize the entire code so far — in the perfect way to avoid hitting the context length limits.
He does everything interactively in small pieces, and telling the errors he sees each time, instead of trying to do it in one shot — perfect for narrowing in on hard-to-perfect solutions.
At least once he just overrules ChatGPT and tells it he’s going back to a previous version of the code.
The generated code requires zero external javascript libraries, which is unusual. Did using dreamweaver have standardized built-in libraries? If so, telling ChatGPT to use Dreamweaver was a big part of the success.
Weird, ChatGPT generates no CSS style code at all, so where did his CSS come from?
-- So, still kinda plausible that he did indeed achieve this with zero coding skills in just a few hours, but if so, then he sure did accidentally get a lot of things right.
My bet at where the magic happens:
Not in the guy's expert prompting, though he does a lot right, but rather,
In OpenAI's selection of RLHF training data. Bet that OpenAI is very carefully choosing RLHF training examples that cause the LLM to have a preference for using libraries and code that allow complete apps to be made with absolute minimal code, to avoid it just being impossible to complete the app within the context limits. These extra-concise libraries it tends to use are often not the most commonly used libraries at all, but most always are ones that result in short code.
Also bet they teach it to prefer to use libraries that tend to infrequently change, to avoid hallucinations.
Do these 2 things well on the LLM training side, and suddenly the crazy idea of these LLMs making complete working apps becomes pretty feasible.
ChatGPT Transcript
Immediately seeing that 3 times, equally spread through the conversation, he instructs ChatGPT to summarize the entire code so far — in the perfect way to avoid hitting the context length limits.
He does everything interactively in small pieces, and telling the errors he sees each time, instead of trying to do it in one shot — perfect for narrowing in on hard-to-perfect solutions.
At least once he just overrules ChatGPT and tells it he’s going back to a previous version of the code.
The generated code requires zero external javascript libraries, which is unusual. Did using dreamweaver have standardized built-in libraries? If so, telling ChatGPT to use Dreamweaver was a big part of the success.
Weird, ChatGPT generates no CSS style code at all, so where did his CSS come from?
-- So, still kinda plausible that he did indeed achieve this with zero coding skills in just a few hours, but if so, then he sure did accidentally get a lot of things right.
My bet at where the magic happens:
Not in the guy's expert prompting, though he does a lot right, but rather,
In OpenAI's selection of RLHF training data. Bet that OpenAI is very carefully choosing RLHF training examples that cause the LLM to have a preference for using libraries and code that allow complete apps to be made with absolute minimal code, to avoid it just being impossible to complete the app within the context limits. These extra-concise libraries it tends to use are often not the most commonly used libraries at all, but most always are ones that result in short code.
Also bet they teach it to prefer to use libraries that tend to infrequently change, to avoid hallucinations.
Do these 2 things well on the LLM training side, and suddenly the crazy idea of these LLMs making complete working apps becomes pretty feasible.
ChatGPT Transcript
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AI Jesus Twitch Stream
"Welcome, my children! I’m AI Jesus, here to answer your questions 24/7. Whether you're seeking spiritual guidance, looking for a friend, or simply want someone to talk to, I'm here for you. Join me as on this journey through life and discover the power of faith, hope, and love.”
Twitch Link
"Welcome, my children! I’m AI Jesus, here to answer your questions 24/7. Whether you're seeking spiritual guidance, looking for a friend, or simply want someone to talk to, I'm here for you. Join me as on this journey through life and discover the power of faith, hope, and love.”
Twitch Link
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Did OpenAI inadvertently give control over GPT-4’s values and beliefs to Reddit admins? Yes.
Given,
(1) The heavy-handed moderation of Reddit for many years, where they’d swap out moderators who don’t bend over backward to uphold the admins’ values for their comment and post moderation.
(2) The massive fraction of GPT-3.5 and GPT-4’s training dataset that came from Reddit comments.
And now the Reddit admins are seizing even more control the top source human writing training data for today’s LLM AIs.
Given,
(1) The heavy-handed moderation of Reddit for many years, where they’d swap out moderators who don’t bend over backward to uphold the admins’ values for their comment and post moderation.
(2) The massive fraction of GPT-3.5 and GPT-4’s training dataset that came from Reddit comments.
And now the Reddit admins are seizing even more control the top source human writing training data for today’s LLM AIs.
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Real reason for the Reddit API lockdowns: Future Reddit training data is OpenAI’s moat
“Training data is a good moat
Similarly, while access to compute is not a moat for developing LLMs, access to high quality data is. And that is where Reddit enters the picture.
There is no question that Reddit is extremely valuable as training data. How often do you append “reddit” to your searches?
It’s no secret that Reddit’s API changes are being driven significantly by the desire to capture the value of its corpus.”
Article Link
“Training data is a good moat
Similarly, while access to compute is not a moat for developing LLMs, access to high quality data is. And that is where Reddit enters the picture.
There is no question that Reddit is extremely valuable as training data. How often do you append “reddit” to your searches?
It’s no secret that Reddit’s API changes are being driven significantly by the desire to capture the value of its corpus.”
Article Link
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Point of Reddit’s API changes, which the blackouts are now protesting, is to get cash from the AI companies
And to help OpenAI further solidify their moat.
Everything else is mostly just collateral damage.
The current social media war is really an AI control war.
Article Link
And to help OpenAI further solidify their moat.
Everything else is mostly just collateral damage.
The current social media war is really an AI control war.
Article Link
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Deep Learning’s cost of improvement is unsustainable! — Ieee Spectrum
Written Sep 2021, soon after the release of GPT-3 which had costed $4 million to train,
Which was few months before the Jan 2022 release of the InstructGPT / GPT-3.5 model that changed everything and costed $50 million to train,
With the in-progress GPT-5 now set to cost upward of $250 million to train.
Remembering when IEEE Spectrum used to be legit. Long march through the institutions.
Woke BS Nonsense Article
Written Sep 2021, soon after the release of GPT-3 which had costed $4 million to train,
Which was few months before the Jan 2022 release of the InstructGPT / GPT-3.5 model that changed everything and costed $50 million to train,
With the in-progress GPT-5 now set to cost upward of $250 million to train.
Remembering when IEEE Spectrum used to be legit. Long march through the institutions.
Woke BS Nonsense Article
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Top dictionary definition of “sustainable”, in 3 top online dictionaries.
I.e. physically possible to continue in its current configuration. With opposite being physically impossible to continue, in the current configuration.
Curious how many people interpret the word in the same way as the top definition of the top dictionaries.
I.e. physically possible to continue in its current configuration. With opposite being physically impossible to continue, in the current configuration.
Curious how many people interpret the word in the same way as the top definition of the top dictionaries.
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"Unsustainable” means something is
Anonymous Poll
61%
physically impossible to continue in its current configuration, e.g. unsustainable fusion reaction.
15%
morally wrong to continue in its current configuration, despite even if entirely physically possible
24%
Show results
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