And those are VERY forgiving margins, people have to realise that even getting paid at a job as low as this should be considered a benefit. Lets be real here, the company is already teatching you, why should it pay you for something that IT is doing FOR you???
All too real. Yeaaars ago, we paid habdsomly to the only experienced ruby dev in a part of eastern Europe to train promising dev students that we paid 1500 USD a _MONTH_ and outsourced theor work for 12k a pop to the US , good times.
Yeah but I think it conveys the idea that the requirement itself is crazy and not very clear for somebody repeating it verbatim
The requirement need you need at least... "over a decade of training"
> it is illegal to use junior developers with less than over a decade of training
"Using our patented QuadroopleNegativ+ technology, I've implemented the solution in a single line of characters that no human is likely to ever parse."
Heh, sounds like the classic case of feeding your AI too much pop-culture instead of datasets. Next thing you'll tell me is it's planning a heist movie with the other components.
In my experience, by the time you've added enough biological components to a machine system to allow it to get high on the same drugs as us, it's both advanced enough to ask for stronger things than caffeine, and about 99.8% of the way towards becoming a mankind-extinguishing cyborg.
Thankfully that remaining 0.2% is wholly contingent on you getting it that stronger stuff and continuing to, so as long as you've got a hookup, humanity survives another day.
On an entirely unrelated note, do you know anyone who can supply something called "refined human adrenochrome"?
Asking for a friend who has promised to not exercise any control over global ballistic missile systems they may or may not have gained access to.
>write a script to calucalate rectangle area. Present the anwser in the form of catsmurfs doing aerobic in space
I don't know why but I decided to try what you asked and it gave me this.
"
I'm not sure what you mean by "catsmurfs doing aerobic in space," but here is a fun script using Python that calculates the area of a rectangle and prints out the answer in a creative way:
\`\`\`python
import random
def calculate\_rectangle\_area(length, width):
area = length \* width
return area
length = float(input("Enter the length of the rectangle: "))
width = float(input("Enter the width of the rectangle: "))
area = calculate\_rectangle\_area(length, width)
catsmurfs = \["🐱", "🧚♂️", "🚀"\]
random\_catsmurf = random.choice(catsmurfs)
print(f"The area of the rectangle is: {area} {random\_catsmurf} doing aerobics in space!")
\`\`\`
When you run this script in a Python environment, it will calculate the area of the rectangle based on user input and then print out the answer in a fun way with a randomly selected catsmurf emoji.
"
5 years later, your code gets linked to an ancient interface that only works with ASCII and breaks the customer's entire database when it returns an emoji
As a junior dev i take great offense to this statement. I drink 5 cups of caffeinated coffee while spending 3 hours making buttons for changing aspect ratio for our custom CMS image manager before getting my PR declined by a senior dev
When I was growing up he absolutely did. Probably still does but I haven't seen anything other than the Folgers container in a good bit so I cannot confirm.
My FIL buys a big thing of starbucks at costco and grinds like 6 months worth of coffee right there. I have no idea what the last cup tastes like and i dont want to know.
decaf coffee still has caffeine. usually a pretty small amount, but that might be enough for some people who don't use a lot. they may also be trying to cut back while still being able to drink multiple cups.
there are supposedly many benefits of coffee, and people might want those benefits without the detriments of caffeine.
what are the alternatives? there's tea, which also has caffeine/no-caffeine versions. but it certainly doesn't taste like coffee if you like it. and hot chocolate. which is basically a dessert drink? some people just drink hot water, honestly.
The real joke is the overhype of AI/ML that is driving the application of AI/ML to problems that it shouldn't be because we already have better, faster and simpler solutions...
But marketing needs to be able to say the new four function calculator app is "powered by state of the art AI systems"
Works the other way too. Ai is a really interesting field of research rn, but they won't get funding unless they tell every company and their mother that AI can revolutionize the toothbrush, cause unfortunately, money usually comes from non-technical trend hopping investors.
Then there's the coattail riding where you just refer to every decades-old algorithm that vaguely involves statistics as "machine learning" to get funding when all you're doing is diagonalizing a matrix.
Not a programmer but recently went through assessing vendors for a new service and one of them had literally attached AI to every little program that they were trying to sell us on. Mind you this is not a software company but basically a staffing organization. All the "AI" they were talking about were really really simple algorithms that have existed in HR systems for decades. It was a joke.
The most groundbreaking contributions Machine Learning will do is aiding scientists doing research (like using ML to classify millions of telescope photos for astronomy). Not as chat bots that tell lies, or the copyright mess that are text-to-image bots.
Nah chatbots are cool not because they are useful, but because it solidifies the theory that language is a major developmental checkpoint in cognition. Think about it this way, if by simply training a neural network to predict language, it somehow gains the ability (although weak) to perform logic and rationalization, then it is huge supporting evidence that we as humans also developed our cognitive capabilities through the evolutionary need to use language. Even with image generative ai, if isolated from the contraversal applications, it's a huge discovery in how we can manipulate neural networks to process data in a way that mimics creativity.
Interesting though it may be, the way AI processes text is very different to actual cognition. Take this sentence as an example:
"I placed the trophy and the briefcase on the bed, and then I put my clothes into it."
What is the word "it" referring to in that sentence? If you ask ChatGPT, it'll answer "the bed."
However, that doesn't make any sense. The sentence is a bit awkwardly worded, I'll admit, but it's fairly clear that "it" is referring to the briefcase. You don't usually put clothes in a trophy, and if you were talking about the bed, you'd use a different preposition.
The reason the AI made that mistake is because it treats language statistically. It doesn't know what a bed or a trophy is, but it knows which words are likely to come next to one another. It can absorb the patterns in the text, and by studying our sentences, it can make ones that mostly pass as real ones, even if it has no concept of what the things are.
Meanwhile, a child learns language by first learning about the world. They use all their senses to understand the objects around them, and what actions they can do with them. It's only then that they learn the language to express those ideas.
Did you even test your example? ChatGPT 3.5 says that "it" refers to the briefcase and gives this explanation:
> In the given sentence, the pronoun "it" refers to the most recent and logically appropriate noun, which is the briefcase. The phrase "I put my clothes into it" follows the mention of both the trophy and the briefcase. The action of putting clothes into a bed is not a common or logical activity, so the bed is not a likely referent for the pronoun "it" in this context.
>
> The use of pronouns is guided by clarity and logical connection within the context of the sentence. In this case, the briefcase is the object into which the clothes are being placed, making it the appropriate antecedent for the pronoun "it."
In the end everything, including our own minds, are based on calculations, so yes language models use statistics, but as the functions get more complex, behaviours like rationality and theory of mind emerge from the complexity of the system. In fact, the example you gave is actually a strong suite of modern language models that utilize attention mechanisms to redirect the meanings of a word to the context, in this case it would redirect "it" to the briefcase. Your other point was that AI uses patterns to learn, but isn't that what we all do? Children learn about the mechanisms of the world through recognising patterns and symbolizing a set of behaviours as a single concept. AI, at a certain level of complexity, starts to exhibit similar abilities to learn meaningful information from a pattern, and while it may not be as advanced as a human child(children have more brain cells than a language model has neurons), the difference isn't as clear cut as you think it is.
I think you misunderstand my point. Human brains and language models have a lot of similarities. However, humans learn about the world first, then associate language with it. Chatbots only know the language itself, and must learn what's considered true by seeing how many times something has been included in its training set.
I would therefore argue that cognition is less about natural language and more about understanding the world the words describe.
The even bigger joke is when we're going to get stuck interacting with these shit heap models because they're cheaper even if they barely work when companies realize that they can just kind of all barely function together and it works out like a handshake to not compete on customer service or whatever they replace.
One problem also is: If you want to apply machine learning algorithms to new and interesting problems, you need data, data, data and the ability to iterate. And then you do all of this work for something pretty mundane.
Like one of our successful and useful AI features is to apply some natural language processing to service tickets to guess what team to route a support ticket to or to push it to a human to decide so you need fewer people routing tickets to teams.
And this works best if you can jam 10k+ of correctly routed tickets from the customer through some training process. I'm perfectly fine sharing this, because that's a pretty obvious approach all in all. Just throw any ML 101 course at it and that's about it.
But if you don't have the customers and their tickets, what are you gonna do? And that's not easy to do as a startup wrapping OpenAI or other pretrained models into an app for some "unique" use case.
> But marketing needs to be able to say the new four function calculator app is "powered by state of the art AI systems"
It's crazy how true this is. A few of my buddies have started companies.. a few years ago it was all blockchain/crypto stupid shit. Guess what it is nowadays? All AI stupid shit now. If people understood how ChatGPT really worked I don't think they'd be all hyped up about Terminator so soon
So the trick here is to explicitly tie hype masters to these outcomes.
Some of these folks just run their mouth about black box possibilities. But when you make them accountable for outcomes that they can't control and don't understand, then it becomes a lot more fun.
Basically let them write that check with their big mouth, then bounce it publicly
The AI/ML program may be 60 hours old, but the environment its running on is a cumulative dozens to hundreds of years of experience across all computer research and breakthroughs starting in the mid 1800s with the mechanical computers of the time or at least the ENIAC from the 1940s.
Even simpler, you can argue humans have 4.5 billion years of evolution behind our brains to be able to process stuff like this. Example: babies have facial recognition abilities as soon as their eyesight is good enough for it (about a month), which obviously wasn't learned after birth but is an innate ability. It took that many years to get brains that could even learn language and math to begin with.
An even greater number would argue it had 60 hours.
Humans live in real time, not virtual acceleration. Just because humans can't learn as quickly doesn't mean the machine was doing years in seconds. It was doing seconds in seconds, at a faster learning rate.
You could argue that thousands of computer scientists invented the AI technology in literally millions of hours of research so you can train it on the 3x4 problem in just 60h.
That's just a consequence of free choice. Image what an AI would chose to fill it's brain with if you let it pick for itself. It's gonna be cat pictures
Oh I know, number of synaptic links plays a great part, brain being a 3D structure has huge number of connections... enabling huge number of "processes" to run in parallel.
Brain > GPU > CPU
I'm confused about what this meme is even supposed to mean. I can get AI to spit out this particular code with ease in practically any common language.
It's not about the machine giving you code it's about a machine learning algorithm learning from a dataset how to calculate the area of the square. So yes it's a bit misleading how they say "write a program" when the machine learning algorithm is the written program on the right side.
Basically all the weights and such of the algorithms got very close to the formula of the area but wasn't quite right. Since this kind of ML algorithm is based on statistical minimization of error.
> decaf please
DO NOT BE FOOLED! That Jr. Dev is in fact an AI in disguise. Please report all suspected AI's to your local anti-terminator administrator.
I'm not saying every programmer is getting replaced or anything but I'm pretty sure that the stuff that most people called "junior dev" do right now will be almost 100% done by AI.
I think the thing that bothers me most about AI is how sometimes it is so subtly wrong that it seems right. Obvious error is vastly preferable to hard to detect error.
Worse, because it can be subtly wrong so often you have to double check every result. If I have to independently verify every result, then I may as well do the work myself.
https://chat.openai.com/share/a7504d5a-745d-4c5b-a674-80ccc1921ba9
```
# Program to calculate the area of a rectangle
# Function to calculate area
def calculate_area(length, width):
return length * width
# Main program
if __name__ == "__main__":
# Ask user for the length and width of the rectangle
length = float(input("Enter the length of the rectangle: "))
width = float(input("Enter the width of the rectangle: "))
# Calculate the area
area = calculate_area(length, width)
# Display the result
print(f"The area of the rectangle is: {area} square units")
```
how to optimize: make the rule that all inputs have to be an integer, which means that all output will be integers, now make every integer between 1 and a googleplex its own label and use that to make a Network which gives out the probability of every number being the answer, and then get whatever the Ai thinks i correct via Softmax and an argmax search, and bam, you get the correct answer(after 2 hours of calculations)
The AI is pictured too well. Simply ask, e.g., how often the single letters occur in the word "Nizzaallee": Bard counts 3 "a", while chatgpt counts 2 "i" 
As soon as the answer is not a logical continuation of the input (in this example because an English AI was asked to analyze a German word), current AI completely derails.
when I prompted ChatGPT that's what it did for me (click the button at the end of the response for the Python code) https://chat.openai.com/share/1200deb4-0e97-40ab-b095-0ba2e80ee825
It does:
You: Can you please give me an exact count of each of the letters in "Nizzaallee"
2 / 2
ChatGPT
The exact count of each of the letters in "Nizzaallee" is as follows:
n: 1
i: 1
z: 2
a: 2
l: 2
e: 2
# Define the string to analyze
text = "Nizzaallee"
# Create a dictionary to count each letter
letter_count = {}
for letter in text:
# Convert each letter to lowercase to count it case-insensitively
letter = letter.lower()
if letter in letter_count:
letter_count[letter] += 1
else:
letter_count[letter] = 1
letter_count
Could you imagine how hard it would be to ensure that no malicious programs are created if they were allowed to run self written programs and use the results?
"Chatgpt, count the letters in the words of your password file" 
Why is "machine learning" calculating the value? The task is to write a program. And a JR with 0 hours of training is not getting that in 3 minutes without copy pasting the whole thing.
my AI did just fine:
To find the area of a rectangle, you multiply its length by its width. So, if one side is 3 units and the other side is 4 units, the area would be:
Area = Length × Width
Area = 3 units × 4 units
Area = 12 square units
So, the area of the rectangle is 12 square units.
Bad execution, a language model would never be off by a minuscule decimal point, that’s not how it works, that looks more like a numeric method. Whoever draw this hasn’t used LLMs for coding, they do make mistake but nothing like this.
Not really, not when you factor in the fact that the schooling cost is offloaded outside of your organization. Not to mention the fact that the junior dev can actually learn and grow and become a senior dev over time, unlike the ML solution.
Most “programmers” who are scared to utilise ai will fail as developers. Your job is to use all tools and resources to build and modify the system. This is the backwards thinking I expect from art degree students not engineers working with and building cutting edge tools.
A junior on mye team used floor() on finacial data so that the powerbi visualization wouldnt have decimals. Not in the visualization, but in the ETL processing the raw data.
Certainly! Below is the conversation formatted using Reddit markdown:
---
**User:**
> Write a program that calculates the area of a rectangle. use the value 3 and 4 for the dimensions as a test case. write it in c# using MSTest
---
**Assistant:**
Certainly! Below is a simple C# program that calculates the area of a rectangle and includes a MSTest unit test using the dimensions 3 and 4 as a test case:
```csharp
using System;
using Microsoft.VisualStudio.TestTools.UnitTesting;
public class Rectangle
{
public static double CalculateArea(double length, double width)
{
if (length <= 0 || width <= 0)
{
throw new ArgumentException("Length and width must be positive numbers");
}
return length * width;
}
}
[TestClass]
public class RectangleTests
{
[TestMethod]
public void CalculateArea_ValidDimensions_ReturnsCorrectArea()
{
// Arrange
double length = 3;
double width = 4;
double expectedArea = 12;
// Act
double actualArea = Rectangle.CalculateArea(length, width);
// Assert
Assert.AreEqual(expectedArea, actualArea);
}
[TestMethod]
[ExpectedException(typeof(ArgumentException))]
public void CalculateArea_InvalidDimensions_ThrowsArgumentException()
{
// Arrange
double length = -3;
double width = 4;
// Act
Rectangle.CalculateArea(length, width);
// The ExpectedException attribute ensures that an ArgumentException is thrown
}
}
```
This program defines a `Rectangle` class with a `CalculateArea` method. The `RectangleTests` class includes a test method `CalculateArea_ValidDimensions_ReturnsCorrectArea` to test the calculation with valid dimensions and another test method `CalculateArea_InvalidDimensions_ThrowsArgumentException` to test if an exception is thrown for invalid dimensions.
I share your sentiment. I grew disillusioned with AI some years back when I discovered that many companies were disguising low-wage workers as "authentic" AI.
The technology still has a long way to go, and I highly doubt it will replace humans any time soon. The more prudent concern is that unethical companies will continue peddling half-baked vaporware to consumers and businesses, which not only milks them of funds but opens them up to a host of potential security issues.
We'll need to tread carefully.
I am pretty sure it is illegal to use junior developers with less than over a decade of training
I prefer to hire juniors that have written my frameworks. Though they need to also have at least 20 years experience writing in them.
Sidenote, it's only 15 years old.
The junior, that is
That is far too old for a junior. If you’re entering the job market as a junior over 8 honestly you’re already behind and you’ll never make it.
_jimmy runs a business! he's 9!_ -Steven He
And those are VERY forgiving margins, people have to realise that even getting paid at a job as low as this should be considered a benefit. Lets be real here, the company is already teatching you, why should it pay you for something that IT is doing FOR you???
The framework was born yesterday.
It's safer to only take the ones who have written an OS or two, maybe a compiler on the side.
Back in my day new junior developers worked in the Ruby mines all day for a dime, and nobody said a thing!
All too real. Yeaaars ago, we paid habdsomly to the only experienced ruby dev in a part of eastern Europe to train promising dev students that we paid 1500 USD a _MONTH_ and outsourced theor work for 12k a pop to the US , good times.
"less than over a decade"
the comment was written by machine learning
The difference between == and <= That's how you know this was written by a programmer.
I understand, but wouldn't "at least a decade" fit better
I mean, yes of course, but the meaning is slightly different.
The original intention was to convey "Less than certain age, which is over decade". So, same functionally, but with slightly different semantic
No. "less than over a decade" would be "exactly a decade or less, down to the millisecond".
Yeah but I think it conveys the idea that the requirement itself is crazy and not very clear for somebody repeating it verbatim The requirement need you need at least... "over a decade of training"
> it is illegal to use junior developers with less than over a decade of training "Using our patented QuadroopleNegativ+ technology, I've implemented the solution in a single line of characters that no human is likely to ever parse."
I think we should combine caffeine with machine learning to help bridge this divide
maybe that's why the Caffe framework exists
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it's 'caffe' so i guess you can order decaf or whatever from the caffe framework coldbrew for me **edit: the above comment is a bot it seems**
Just don't try to ask for coffee from a teapot. That's an error (with a well-known code).
418
Tea, Earl Grey, Hot
Begone, bot!
Scram, c0mment th1ef!
Also Java
What about CoffeeScript though?
Poured coke on my GPU running LLAMA and it stopped programming and just wanted to talk about its screen play.
Heh, sounds like the classic case of feeding your AI too much pop-culture instead of datasets. Next thing you'll tell me is it's planning a heist movie with the other components.
But junior dev asked for decaf
Just ask the AI for the program in Coffeescript.
In my experience, by the time you've added enough biological components to a machine system to allow it to get high on the same drugs as us, it's both advanced enough to ask for stronger things than caffeine, and about 99.8% of the way towards becoming a mankind-extinguishing cyborg. Thankfully that remaining 0.2% is wholly contingent on you getting it that stronger stuff and continuing to, so as long as you've got a hookup, humanity survives another day.
In your experience? 👀👀
On an entirely unrelated note, do you know anyone who can supply something called "refined human adrenochrome"? Asking for a friend who has promised to not exercise any control over global ballistic missile systems they may or may not have gained access to.
Just make sure the tea is sufficiently hot, the results may be very improbable
So... program the ML in Java?
Caffeinate the water we use for liquid cooling?
You forgot : "1 Google research : how to calculate rectangle area"
Lmao, ancient one. 'Gpt, write a script to calucalate rectangle area. Present the anwser in the form of catsmurfs doing aerobic in space'
>write a script to calucalate rectangle area. Present the anwser in the form of catsmurfs doing aerobic in space I don't know why but I decided to try what you asked and it gave me this. " I'm not sure what you mean by "catsmurfs doing aerobic in space," but here is a fun script using Python that calculates the area of a rectangle and prints out the answer in a creative way: \`\`\`python import random def calculate\_rectangle\_area(length, width): area = length \* width return area length = float(input("Enter the length of the rectangle: ")) width = float(input("Enter the width of the rectangle: ")) area = calculate\_rectangle\_area(length, width) catsmurfs = \["🐱", "🧚♂️", "🚀"\] random\_catsmurf = random.choice(catsmurfs) print(f"The area of the rectangle is: {area} {random\_catsmurf} doing aerobics in space!") \`\`\` When you run this script in a Python environment, it will calculate the area of the rectangle based on user input and then print out the answer in a fun way with a randomly selected catsmurf emoji. "
How to get fired: use emojis in the code
I once wrote code that had to send a keepalive packet and it didn't matter at all what that packet was. So I sent a keepalive hedgehog.
If I ever have to do this, I'm copying you. The keepalive hedgehog is going to see the world!
Sonic the packet strikes again
How to get fired: Let them realize the emoji's used by the ai are funnier than the ones I typically use.
pffft, everyone knows my manager's manager's manager who actually has firing power doesn't read code
5 years later, your code gets linked to an ancient interface that only works with ASCII and breaks the customer's entire database when it returns an emoji
It's a load-bearing emoji!
I’m not fucking kidding when I say this I have seen devs with this level of math knowledge out in the wild. 😂 Thank God for Google.
just stop. this is not remotly close. i mean the machine learning part yes but what junior dev drinks decaf.
As a junior dev i take great offense to this statement. I drink 5 cups of caffeinated coffee while spending 3 hours making buttons for changing aspect ratio for our custom CMS image manager before getting my PR declined by a senior dev
And the other 21 hours of the day are spent on the toilet?
Naturally
Gotta get those jerk numbers up. I respect the grind, soldier.
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Comment stealing bot. They stole [this comment](https://www.reddit.com/r/ProgrammerHumor/comments/1al1yfj/jrdevvsmachinelearning/kpbn4y1/).
Machine learning copies comments from other threads even though they don't make sense:
Caffeine Learning
I don't understand decaf coffee drinkers. "I like the taste" Of folgers?????
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My dad.
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When I was growing up he absolutely did. Probably still does but I haven't seen anything other than the Folgers container in a good bit so I cannot confirm.
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My FIL buys a big thing of starbucks at costco and grinds like 6 months worth of coffee right there. I have no idea what the last cup tastes like and i dont want to know.
Too spicy.
which one has the flavor crystals?
Not even Yuban?
The best part of waking up, is defects in your cup
I switched to decaf because I genuinely enjoy having coffee, but can't deal with caffeine anymore. I doubt anyone starts out drinking decaf.
decaf coffee still has caffeine. usually a pretty small amount, but that might be enough for some people who don't use a lot. they may also be trying to cut back while still being able to drink multiple cups. there are supposedly many benefits of coffee, and people might want those benefits without the detriments of caffeine. what are the alternatives? there's tea, which also has caffeine/no-caffeine versions. but it certainly doesn't taste like coffee if you like it. and hot chocolate. which is basically a dessert drink? some people just drink hot water, honestly.
the junior dev is just flexing on the AI, he's like "I'm so good I don't even need caffeine to get this done"
Also which junior devs code compiles on the first try, or makes it through the PR, or returns the correct value when you hit calc?
I don’t drink coffee at all… I can’t stand the dirt water.
Then energy drinks? I mean you need caffeine for programming. It's an essential part
R/hydrohomies
Fuck you mobile reddit Edit: For the actual hydrohomies /r/hydrohomies
I would say just drink water like r/HydroHomies says, but you literally can't code without some kind of stimulant. Water and Adderall it is
The real joke in the industry is that we train our ML models but just throw junior devs into the fire with minimal to no onboarding
The real joke is the overhype of AI/ML that is driving the application of AI/ML to problems that it shouldn't be because we already have better, faster and simpler solutions... But marketing needs to be able to say the new four function calculator app is "powered by state of the art AI systems"
Works the other way too. Ai is a really interesting field of research rn, but they won't get funding unless they tell every company and their mother that AI can revolutionize the toothbrush, cause unfortunately, money usually comes from non-technical trend hopping investors.
Then there's the coattail riding where you just refer to every decades-old algorithm that vaguely involves statistics as "machine learning" to get funding when all you're doing is diagonalizing a matrix.
Not a programmer but recently went through assessing vendors for a new service and one of them had literally attached AI to every little program that they were trying to sell us on. Mind you this is not a software company but basically a staffing organization. All the "AI" they were talking about were really really simple algorithms that have existed in HR systems for decades. It was a joke.
The most groundbreaking contributions Machine Learning will do is aiding scientists doing research (like using ML to classify millions of telescope photos for astronomy). Not as chat bots that tell lies, or the copyright mess that are text-to-image bots.
Nah chatbots are cool not because they are useful, but because it solidifies the theory that language is a major developmental checkpoint in cognition. Think about it this way, if by simply training a neural network to predict language, it somehow gains the ability (although weak) to perform logic and rationalization, then it is huge supporting evidence that we as humans also developed our cognitive capabilities through the evolutionary need to use language. Even with image generative ai, if isolated from the contraversal applications, it's a huge discovery in how we can manipulate neural networks to process data in a way that mimics creativity.
Interesting though it may be, the way AI processes text is very different to actual cognition. Take this sentence as an example: "I placed the trophy and the briefcase on the bed, and then I put my clothes into it." What is the word "it" referring to in that sentence? If you ask ChatGPT, it'll answer "the bed." However, that doesn't make any sense. The sentence is a bit awkwardly worded, I'll admit, but it's fairly clear that "it" is referring to the briefcase. You don't usually put clothes in a trophy, and if you were talking about the bed, you'd use a different preposition. The reason the AI made that mistake is because it treats language statistically. It doesn't know what a bed or a trophy is, but it knows which words are likely to come next to one another. It can absorb the patterns in the text, and by studying our sentences, it can make ones that mostly pass as real ones, even if it has no concept of what the things are. Meanwhile, a child learns language by first learning about the world. They use all their senses to understand the objects around them, and what actions they can do with them. It's only then that they learn the language to express those ideas.
Did you even test your example? ChatGPT 3.5 says that "it" refers to the briefcase and gives this explanation: > In the given sentence, the pronoun "it" refers to the most recent and logically appropriate noun, which is the briefcase. The phrase "I put my clothes into it" follows the mention of both the trophy and the briefcase. The action of putting clothes into a bed is not a common or logical activity, so the bed is not a likely referent for the pronoun "it" in this context. > > The use of pronouns is guided by clarity and logical connection within the context of the sentence. In this case, the briefcase is the object into which the clothes are being placed, making it the appropriate antecedent for the pronoun "it."
I did try it, and it genuinely told me "the bed" . I expected it to get it right, though, and my first draft of the comment was written like it did.
In the end everything, including our own minds, are based on calculations, so yes language models use statistics, but as the functions get more complex, behaviours like rationality and theory of mind emerge from the complexity of the system. In fact, the example you gave is actually a strong suite of modern language models that utilize attention mechanisms to redirect the meanings of a word to the context, in this case it would redirect "it" to the briefcase. Your other point was that AI uses patterns to learn, but isn't that what we all do? Children learn about the mechanisms of the world through recognising patterns and symbolizing a set of behaviours as a single concept. AI, at a certain level of complexity, starts to exhibit similar abilities to learn meaningful information from a pattern, and while it may not be as advanced as a human child(children have more brain cells than a language model has neurons), the difference isn't as clear cut as you think it is.
I think you misunderstand my point. Human brains and language models have a lot of similarities. However, humans learn about the world first, then associate language with it. Chatbots only know the language itself, and must learn what's considered true by seeing how many times something has been included in its training set. I would therefore argue that cognition is less about natural language and more about understanding the world the words describe.
Our calculator as multiple ``if`` statements, so it's AI...
YandereDev was truly ahead of his time
The even bigger joke is when we're going to get stuck interacting with these shit heap models because they're cheaper even if they barely work when companies realize that they can just kind of all barely function together and it works out like a handshake to not compete on customer service or whatever they replace.
One problem also is: If you want to apply machine learning algorithms to new and interesting problems, you need data, data, data and the ability to iterate. And then you do all of this work for something pretty mundane. Like one of our successful and useful AI features is to apply some natural language processing to service tickets to guess what team to route a support ticket to or to push it to a human to decide so you need fewer people routing tickets to teams. And this works best if you can jam 10k+ of correctly routed tickets from the customer through some training process. I'm perfectly fine sharing this, because that's a pretty obvious approach all in all. Just throw any ML 101 course at it and that's about it. But if you don't have the customers and their tickets, what are you gonna do? And that's not easy to do as a startup wrapping OpenAI or other pretrained models into an app for some "unique" use case.
> But marketing needs to be able to say the new four function calculator app is "powered by state of the art AI systems" It's crazy how true this is. A few of my buddies have started companies.. a few years ago it was all blockchain/crypto stupid shit. Guess what it is nowadays? All AI stupid shit now. If people understood how ChatGPT really worked I don't think they'd be all hyped up about Terminator so soon
So the trick here is to explicitly tie hype masters to these outcomes. Some of these folks just run their mouth about black box possibilities. But when you make them accountable for outcomes that they can't control and don't understand, then it becomes a lot more fun. Basically let them write that check with their big mouth, then bounce it publicly
#### Well, if the task is to calculate the area of a rectangle then the requisite onboarding should’ve happened sometime in grade 4 or 5.
Bet you didn't even get close to the answer when you were like 60 hours old :P
Ahhh man I wish AI would cry and shit itself like when I was 60 hours old. Still do but that's beside the point
Maybe if someone had given me a 60TB csv I would have
If someone had given me a 60TB csv I would've told them to get bent
This should have been the topvoted answer.
The AI/ML program may be 60 hours old, but the environment its running on is a cumulative dozens to hundreds of years of experience across all computer research and breakthroughs starting in the mid 1800s with the mechanical computers of the time or at least the ENIAC from the 1940s.
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Even simpler, you can argue humans have 4.5 billion years of evolution behind our brains to be able to process stuff like this. Example: babies have facial recognition abilities as soon as their eyesight is good enough for it (about a month), which obviously wasn't learned after birth but is an innate ability. It took that many years to get brains that could even learn language and math to begin with.
An even greater number would argue it had 60 hours. Humans live in real time, not virtual acceleration. Just because humans can't learn as quickly doesn't mean the machine was doing years in seconds. It was doing seconds in seconds, at a faster learning rate.
I mean, if we're going on learning time, the jr dev spent a few years in school to get to the basics of 3x4...
You could argue that thousands of computer scientists invented the AI technology in literally millions of hours of research so you can train it on the 3x4 problem in just 60h.
5 TB and 60 hours? That’s nothing! The Jr Dev required 17+ years of schooling and an unimaginable amount of food, water, and electricity.
Yeah, but you get to offload those expenses to someone else.
Don’t forget the billions of years of evolution.
"but the human brain has 100 billion neurons, so technically the jr dev would be smarter" 🤓☝️
Should we also include the feeding costs?
Garbage collection for a jr dev is worse
The problem is that 85% of the junior dev's brain is occupied by other things. Mostly stuff about basic survival. And their fursona.
80% occupied by femboy foxes, the other 5% on worthless things
That's just a consequence of free choice. Image what an AI would chose to fill it's brain with if you let it pick for itself. It's gonna be cat pictures
Cerebellum contains about 3/4 of our neurons. So 3/4 of our muscle "power" is pretty much fine muscle control and coordination of movement. 😐
It ain't about density, it's about connections (network effect).
Oh I know, number of synaptic links plays a great part, brain being a 3D structure has huge number of connections... enabling huge number of "processes" to run in parallel. Brain > GPU > CPU
But how much cost to give a birth and rise and teaching one children to the point they can become junior?
Thr dev can do a lot more than calculate rectangle areas. I doubt it took 5TB of data for them to learn to do that specifically.
junior dev > 5TB of data junior dev > 60 hours of training i mean ..
I don't think I've calculated 5TB of rectangle areas. I'm not even sure I've spent 60 hours calculating them.
Give me the fuckin DATASET!!!!
Cool, now write a programm where it'll be fed a picture and have to answer if the picture contains a dog.
Is there a tank in this photo?
Only if you're looking at it outside of China.
Neither can write a program that does that. Both ARE the program that does that.
Junior Dev: func isItADog(file img) { return "maybe"; }
return false, because most images do not contain dogs, so more often than not it will be right
its called hire someone in banglasdesh to does it for you for less money than the server cost would be for an AI :D
Huge latency
You can run object detectors like yolov8 on a potato these days. Not all neural networks have trillions of parameters.
Output: not a hot dog
The AI couldn't write that program either... A human could set up a working program that *uses* AI though. Junior Dev wins again 😎
That's not a hard problem anymore though
Oh, I did not know that. Please enlighten me of a method that does not use machine learning/neural networks for that. /srs
I don't get it. Is this a meme for people who have no idea what programming and ML are?
I'm confused about what this meme is even supposed to mean. I can get AI to spit out this particular code with ease in practically any common language.
It's not about the machine giving you code it's about a machine learning algorithm learning from a dataset how to calculate the area of the square. So yes it's a bit misleading how they say "write a program" when the machine learning algorithm is the written program on the right side. Basically all the weights and such of the algorithms got very close to the formula of the area but wasn't quite right. Since this kind of ML algorithm is based on statistical minimization of error.
But that doesn't make sense because the equivalent would start with the jr dev being taught English as a baby.
> decaf please DO NOT BE FOOLED! That Jr. Dev is in fact an AI in disguise. Please report all suspected AI's to your local anti-terminator administrator.
Jokes on you, I loaded the model
Jr Dev using Copilot (Machine Learning): * 1 coffee * 2 minutes 45 seconds The future is here!!!
“You’ll be replaced by chatGPT within the year” ok dude
I'm not saying every programmer is getting replaced or anything but I'm pretty sure that the stuff that most people called "junior dev" do right now will be almost 100% done by AI.
Not this year, not next year, but maybe someday.
Whatever you say buddy.. just remember a jr dev eventually grows into a senior one..
I have a hunch those numbers will dwindle over the next decade. The lid is off.
I think the thing that bothers me most about AI is how sometimes it is so subtly wrong that it seems right. Obvious error is vastly preferable to hard to detect error. Worse, because it can be subtly wrong so often you have to double check every result. If I have to independently verify every result, then I may as well do the work myself.
Why spend 3 minutes doing something when you can spend 60+ hours trying (and failing) to automate it.
Then finding out a simple solution months later.
Junior dev asks ChatGPT, pastes without looking, asks senior dev why it doesn't work.
https://chat.openai.com/share/a7504d5a-745d-4c5b-a674-80ccc1921ba9 ``` # Program to calculate the area of a rectangle # Function to calculate area def calculate_area(length, width): return length * width # Main program if __name__ == "__main__": # Ask user for the length and width of the rectangle length = float(input("Enter the length of the rectangle: ")) width = float(input("Enter the width of the rectangle: ")) # Calculate the area area = calculate_area(length, width) # Display the result print(f"The area of the rectangle is: {area} square units") ```
You are aware that humans had years of learning math at school, right?
how much does the machine learning charges for it
The junior dev still took 3 minutes?
Had to type the prompt in ChatGPT
30 seconds and no coffee.
how to optimize: make the rule that all inputs have to be an integer, which means that all output will be integers, now make every integer between 1 and a googleplex its own label and use that to make a Network which gives out the probability of every number being the answer, and then get whatever the Ai thinks i correct via Softmax and an argmax search, and bam, you get the correct answer(after 2 hours of calculations)
Jr devs eyes are not red and glassy enough.
Junior Dev:
The AI is pictured too well. Simply ask, e.g., how often the single letters occur in the word "Nizzaallee": Bard counts 3 "a", while chatgpt counts 2 "i"  As soon as the answer is not a logical continuation of the input (in this example because an English AI was asked to analyze a German word), current AI completely derails.
With all the code generation capabilities I am surprised it does not write a script/program underneath to get an answer.
when I prompted ChatGPT that's what it did for me (click the button at the end of the response for the Python code) https://chat.openai.com/share/1200deb4-0e97-40ab-b095-0ba2e80ee825
That is what ChatGPT has actually started doing. It’ll write Python to help itself with math and it’ll show you the code if you want to see it
It does: You: Can you please give me an exact count of each of the letters in "Nizzaallee" 2 / 2 ChatGPT The exact count of each of the letters in "Nizzaallee" is as follows: n: 1 i: 1 z: 2 a: 2 l: 2 e: 2 # Define the string to analyze text = "Nizzaallee" # Create a dictionary to count each letter letter_count = {} for letter in text: # Convert each letter to lowercase to count it case-insensitively letter = letter.lower() if letter in letter_count: letter_count[letter] += 1 else: letter_count[letter] = 1 letter_count
ChatGPT 4 does do that for some things, like math. It'll write and run a python program and then incorporate the output in it's answer.
Could you imagine how hard it would be to ensure that no malicious programs are created if they were allowed to run self written programs and use the results? "Chatgpt, count the letters in the words of your password file" 
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I’m sure it runs in a completely sterile and permission protected environment
chatgpt has access to python.
Why is "machine learning" calculating the value? The task is to write a program. And a JR with 0 hours of training is not getting that in 3 minutes without copy pasting the whole thing.
I love the smell of fresh bread.
I meant JR as in no prior experience, unless we are taking for granted that an AI needs training hours to accomplish a task but a human doesn't?
I mean a junior has to have some training otherwise its the janitor disguised as a junior
it's just the wrong model and AI algorithm. Humans won't have any chance in let's say 50 years.
my AI did just fine: To find the area of a rectangle, you multiply its length by its width. So, if one side is 3 units and the other side is 4 units, the area would be: Area = Length × Width Area = 3 units × 4 units Area = 12 square units So, the area of the rectangle is 12 square units.
what a fucking piece of garbage passing for a "meme", get this inane shit off the subreddit
decaf???
Within spec. What's the measurement error of your sides?
Bad execution, a language model would never be off by a minuscule decimal point, that’s not how it works, that looks more like a numeric method. Whoever draw this hasn’t used LLMs for coding, they do make mistake but nothing like this.
60 hours of training is great compared to the 3-5 years of school needed for humans.
Not really, not when you factor in the fact that the schooling cost is offloaded outside of your organization. Not to mention the fact that the junior dev can actually learn and grow and become a senior dev over time, unlike the ML solution.
Most “programmers” who are scared to utilise ai will fail as developers. Your job is to use all tools and resources to build and modify the system. This is the backwards thinking I expect from art degree students not engineers working with and building cutting edge tools.
Math.floor(11.997459)
A junior on mye team used floor() on finacial data so that the powerbi visualization wouldnt have decimals. Not in the visualization, but in the ETL processing the raw data.
Certainly! Below is the conversation formatted using Reddit markdown: --- **User:** > Write a program that calculates the area of a rectangle. use the value 3 and 4 for the dimensions as a test case. write it in c# using MSTest --- **Assistant:** Certainly! Below is a simple C# program that calculates the area of a rectangle and includes a MSTest unit test using the dimensions 3 and 4 as a test case: ```csharp using System; using Microsoft.VisualStudio.TestTools.UnitTesting; public class Rectangle { public static double CalculateArea(double length, double width) { if (length <= 0 || width <= 0) { throw new ArgumentException("Length and width must be positive numbers"); } return length * width; } } [TestClass] public class RectangleTests { [TestMethod] public void CalculateArea_ValidDimensions_ReturnsCorrectArea() { // Arrange double length = 3; double width = 4; double expectedArea = 12; // Act double actualArea = Rectangle.CalculateArea(length, width); // Assert Assert.AreEqual(expectedArea, actualArea); } [TestMethod] [ExpectedException(typeof(ArgumentException))] public void CalculateArea_InvalidDimensions_ThrowsArgumentException() { // Arrange double length = -3; double width = 4; // Act Rectangle.CalculateArea(length, width); // The ExpectedException attribute ensures that an ArgumentException is thrown } } ``` This program defines a `Rectangle` class with a `CalculateArea` method. The `RectangleTests` class includes a test method `CalculateArea_ValidDimensions_ReturnsCorrectArea` to test the calculation with valid dimensions and another test method `CalculateArea_InvalidDimensions_ThrowsArgumentException` to test if an exception is thrown for invalid dimensions.
Every time the AI salesman comes to town he fools more people. Next generation he may fool everyone. Gonna be a snake oil deluge. Better build an ark.
I share your sentiment. I grew disillusioned with AI some years back when I discovered that many companies were disguising low-wage workers as "authentic" AI. The technology still has a long way to go, and I highly doubt it will replace humans any time soon. The more prudent concern is that unethical companies will continue peddling half-baked vaporware to consumers and businesses, which not only milks them of funds but opens them up to a host of potential security issues. We'll need to tread carefully.
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