>0 knowledge about machine learning or python

>0 knowledge about machine learning or python
>trained and tested an AI from scratch using instructions provided by an AI
>At least 8 people's jobs in 2 hours
Guys I think guman employees are getting... deprecated..

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  1. 11 months ago
    Anonymous

    skill issue

  2. 11 months ago
    Anonymous

    who gives a shit, programming sucks anyway

    it's not even a high status or particularly well paid job outside the united states

    programmers getting paid a grillion dollars a year and feeling smugly superior to everyone is entirely an american phenomenon, in every other country it's just another standard white collar job with a decent-but-not-amazing salary

    • 11 months ago
      Anonymous

      If programmers can get replaced by AI a LOT of other people can be too.
      Why would you hire a security guard when you can have a terminator AI do it? Why would you hire a cashier or an artist or a content writer?

      • 11 months ago
        sage

        Cashiers have already been replaced with mobile kiosks in many places, before this AI craze. Content writing has been automated for years. AI terminators are not a thing, will not be a thing. There is art beyond digital art, of which AI has no application. There are things which AI will make easier, and even used to exploit, and there are things in which it will have no application.

        You all are so far drawn into your cyberpunk fantasy fetishization and are confusing it with reality. Or perhaps you are just being psy-op'd so incredibly by other anons and media fear mongering. Close BOT, go outside, touch grass and take a deep breath.

      • 11 months ago
        Anonymous

        'physical' jobs won't be replaced that easily.
        anything you can do 'static', will.

    • 11 months ago
      Anonymous

      >it's not even a high status or particularly well paid job outside the united states
      >never being outside of US but i know all about it intensifies
      meds anon, consider the possibility of taking them.

      • 11 months ago
        Anonymous

        Black person as a yuropoor i can smell the burger grease off your post. it jobs are not high status in the real world, and compensations are good but nowhere near US good

        • 11 months ago
          Anonymous

          costs of life also aren't nearly as high as in fatland. but you being moronic fat fricking frick probably can't tie those two together to save your sad excuse of life.

  3. 11 months ago
    Anonymous

    >things that didn't happen

    • 11 months ago
      Anonymous

      from tensorflow.keras.models import load_model
      import pandas as pd
      import numpy as np
      from keras.models import Sequential
      from keras.layers import LSTM, Dense
      from sklearn.preprocessing import MinMaxScaler
      from sklearn.metrics import mean_squared_error, mean_absolute_error
      import matplotlib.pyplot as plt

      # Load the saved model
      model = load_model('stock_prediction_model.h5')

      # Step 1: Load the new data
      new_data = pd.read_csv('test_data.csv')

      # Step 2: Modify the new_data variable to only contain the Close column
      new_data = new_data['Close'].values.reshape(-1,1)

      # Step 3: Load the original data and extract the last 30 rows for the date_close variable
      data = pd.read_csv('Apple.csv')
      date_close = data[['Date', 'Close']].tail(30)

      # Step 4: Load the scaler
      scaler = MinMaxScaler(feature_range=(0,1))

      # Step 5: Scale the new data
      new_data = scaler.fit_transform(new_data)

      # Step 6: Reshape the new data into the shape expected by the model
      # Step 6: Create the dataset to feed into the model
      lookback = 60
      features = ['Close']
      X = []
      for i in range(lookback, len(new_data)):
      X.append(new_data[i-lookback:i, 0])
      X = np.array(X).reshape(1, lookback, 1)
      #X = np.reshape(X, (X.shape[0], X.shape[1], 1))
      #X = np.reshape((1, new_data.shape[0], 1))
      # Step 7: Use your trained model to make predictions
      predictions = model.predict(X)

      # Step 8: Transform the predicted values back to their original scale
      predictions = scaler.inverse_transform(predictions)

      # Step 9: Visualize the predictions and the last 30 days of the actual data
      plt.plot(date_close['Close'], label='Actual')
      plt.plot(predictions[0], label='Predicted')
      plt.legend()
      plt.show()

      • 11 months ago
        Anonymous

        Is this meant to be impressive? It looks like Pajeet's first Kaggle project.

        • 11 months ago
          Anonymous

          it was written wholly by the artificial intelligence.

          • 11 months ago
            Anonymous

            >ai has advanced to the level of a brown
            Fair point

            • 11 months ago
              Anonymous

              >pajeets shill for AI because they think it'll help them get rich quick
              >it replaces them first
              KWAB

              • 11 months ago
                Anonymous

                It is possible tbh. Like it can pass all human university level tests soooo you are only limited by your prompts.

  4. 11 months ago
    Anonymous

    Same. I have an internship at Sony and my job is to optimize channel encoding. I don't actually do anything, ChatGPT does it for me but it's not like anyone cares

    • 11 months ago
      Anonymous

      >things that didn't happen

      • 11 months ago
        Anonymous

        ChatGPT is actually pretty good at this stuff....

        • 11 months ago
          Anonymous

          Trust me bro, it can already code everything imaginable from scratch bro. Three more hours and it will become AGI bro, trust me. I heard Hiroshimoot is only using GPT to maintain 4chin now dude trust me, this tech moves so fast.

    • 11 months ago
      Anonymous

      >I just upload samples of my companies code to chat GPT!

      No, you don't.

      • 11 months ago
        Anonymous

        Plenty of people do this though... Moreover you can obfuscate the code

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