/leftypol/ - Leftist Politically Incorrect

>>2640558
quick rundown?

>>2640572
we must guide Maud'Dib to his destiny

>>2566144
This doesn't actually address the division of mental and physical labor and the town-country contradiction. The anarchy of production is solved by training and hiring engineers in Africa and placing the real mental labor done in the hands of the oppressed. Luckily, the internet makes this shit far easier than before.

>>2670726
>This doesn't actually address the division of mental and physical labor and the town-country contradiction
why should it?

I just realized that my English teacher in 5th grade was talking positively about cybersyn

This is the simplest video i could find on linear regressions and this is supposed to be the simplest method
https://youtube.com/shorts/VFHjxQgz724

>>2689262
I also got gemini pro and it told me fir demand forecasting the best method is called gradient boosted trees. Theres also sentiment analysis with ai to know what people want(like an ai that crawls for news) however in my opinion that part could be done via referendum.

>>2689268
"Sentiment analysis" is such an over-the-top name for the concept. Really old idea.

You put labels on words like "positive emotion" and "negative emotion" (or whatever sentiment categories you come up with) and then the "analyzing" part is you run texts through a computer to count the occurrences.

>>2689268
it just gave me some code for potatoe demand forecast

#install these
#pip install xgboost pandas numpy scikit-learn

import pandas as pd
import numpy as np
import xgboost as xgb
import matplotlib.pyplot as plt
from sklearn.metrics import mean_squared_error
import warnings

# Suppress warnings for cleaner output
warnings.filterwarnings('ignore')

# ==========================================
# 1. THE SIMULATION (The Potato Market)
# ==========================================
def generate_potato_data(days=730):
    """
    Simulates 2 years of daily potato demand.
    Unlike electricity (hourly), food is daily/weekly.
    Factors:
    - Price Elasticity (Price goes up, demand goes down)
    - Weekly Cycle (People buy groceries on weekends)
    - Seasonal/Holiday Spikes (Thanksgiving, Christmas)
    """
    np.random.seed(42)
    dates = pd.date_range(start='2023-01-01', periods=days, freq='D')
    n = len(dates)

    # Factor A: Market Price (Fluctuates randomly)
    # Simulating a price between $0.50 and $1.50 per kg
    price = 1.0 + np.random.normal(0, 0.1, n).cumsum() * 0.05
    price = np.clip(price, 0.5, 2.0)

    # Factor B: Seasonality (Potatoes are winter food)
    # Cosine wave: High in winter, Low in summer
    seasonality = 1000 * np.cos(np.linspace(0, 2 * 2 * np.pi, n))

    # Factor C: The "Weekend Grocery Run"
    # Demand spikes on Saturday (5) and Sunday (6)
    day_of_week = dates.dayofweek
    weekend_bump = np.where(day_of_week >= 5, 2000, 0)

    # Factor D: The "Holiday Spike" (Thanksgiving/Christmas)
    # Nov (11) and Dec (12) get a massive boost
    month = dates.month
    holiday_bump = np.where((month == 11) | (month == 12), 3000, 0)

    # TOTAL DEMAND CALCULATION
    # Base Demand (10,000 kg) - Price Sensitivity + Seasons + Weekends + Holidays + Noise
    demand = (
        10000
        - (price * 2000)             # Price Elasticity (High price = Low demand)
        + seasonality
        + weekend_bump
        + holiday_bump
        + np.random.normal(0, 500, n) # Random noise
    )

    df = pd.DataFrame({'date': dates, 'price': price, 'demand': demand})
    df.set_index('date', inplace=True)
    return df

# ==========================================
# 2. FEATURE ENGINEERING (The Cybernetic Logic)
# ==========================================
def create_features(df):
    """
    Teaches the AI how to read the calendar and market history.
    """
    df = df.copy()

    # 1. Calendar Features
    df['dayofweek'] = df.index.dayofweek
    df['quarter'] = df.index.quarter
    df['month'] = df.index.month
    df['dayofyear'] = df.index.dayofyear

    # 2. Price Feedback
    # The AI needs to know the price to predict demand
    df['price'] = df['price']

    # 3. Lag Features (The "Memory")
    # "How many potatoes did we sell this time last week?"
    df['lag_7d'] = df['demand'].shift(7)   # Same day last week
    df['lag_30d'] = df['demand'].shift(30) # Same day last month
    df['lag_365d'] = df['demand'].shift(365) # Same day last year (Critical for Holidays)

    # 4. Rolling Trends
    # "Is potato consumption trending up or down this month?"
    df['rolling_mean_7d'] = df['demand'].rolling(window=7).mean()

    # Drop NaN values created by the 365-day lag (first year is just training data)
    df = df.dropna()
    return df

# ==========================================
# 3. MAIN EXECUTION
# ==========================================
if __name__ == "__main__":
    print("--- 1. Initializing Agricultural Simulation ---")
    # We generate 2 years (730 days) to allow for year-over-year lag features
    data = generate_potato_data(days=730)
    print(f"Generated {len(data)} days of Market Data.")

    print("\n--- 2. Processing Cybernetic Feedback Loops ---")
    df_processed = create_features(data)

    # Split: Train on first ~80%, Test on last ~20%
    train_size = int(len(df_processed) * 0.85)
    train, test = df_processed.iloc[:train_size], df_processed.iloc[train_size:]

    features = ['dayofweek', 'month', 'price',
                'lag_7d', 'lag_30d', 'lag_365d', 'rolling_mean_7d']
    target = 'demand'

    X_train, y_train = train[features], train[target]
    X_test, y_test = test[features], test[target]

    print("\n--- 3. Training Gradient Boosted Trees (The Planner) ---")
    reg = xgb.XGBRegressor(
        n_estimators=1000,
        learning_rate=0.01,
        max_depth=4,
        early_stopping_rounds=50,
        objective='reg:squarederror'
    )

    reg.fit(
        X_train, y_train,
        eval_set=[(X_train, y_train), (X_test, y_test)],
        verbose=False
    )
    print("Training Complete.")

    # ==========================================
    # 4. EVALUATION & VISUALIZATION
    # ==========================================
    test['prediction'] = reg.predict(X_test)

    rmse = np.sqrt(mean_squared_error(test['demand'], test['prediction']))
    mean_demand = test['demand'].mean()
    error_percentage = (rmse / mean_demand) * 100

    print(f"\n--- Results ---")
    print(f"RMSE (Error Margin): {rmse:.0f} kg")
    print(f"Average Daily Demand: {mean_demand:.0f} kg")
    print(f"Error Rate: {error_percentage:.2f}%")
    print(f"Accuracy: {100 - error_percentage:.2f}%")

    print("\n--- Cybernetic Analysis ---")
    if error_percentage < 5:
        print("Status: OPTIMAL. The plan is highly accurate. Minimal waste expected.")
    elif error_percentage < 10:
        print("Status: ACCEPTABLE. Minor adjustments needed in buffer stock.")
    else:
        print("Status: UNSTABLE. Unexpected market volatility detected.")

    # Feature Importance
    importance = pd.DataFrame(
        data=reg.feature_importances_,
        index=reg.feature_names_in_,
        columns=['importance']
    ).sort_values('importance', ascending=False)

    print("\n--- What drives Potato Demand? ---")
    print(importance)

    # Interpretation of top feature
    top_feature = importance.index[0]
    print(f"\nInsight: The most critical factor driving demand is '{top_feature}'.")
    if top_feature == 'lag_365d':
        print("Reason: Historical seasonal trends (holidays) are dominant.")
    elif top_feature == 'price':
        print("Reason: Consumers are highly sensitive to price changes.")
    elif top_feature == 'dayofweek':
        print("Reason: Weekly shopping habits dictate consumption.")

    # Plotting
    plt.figure(figsize=(15, 6))
    plt.plot(test.index, test['demand'], label='Actual Sales', alpha=0.6, color='blue')
    plt.plot(test.index, test['prediction'], label='AI Plan', linestyle='--', color='orange')
    plt.title('Cybernetic Agriculture: Potato Demand Forecast')
    plt.ylabel('Demand (kg)')
    plt.xlabel('Date')
    plt.legend()
    plt.grid(True)

    filename = 'potato_forecast_plot.png'
    plt.savefig(filename)
    print(f"\n[Visual] Forecast plot saved to '{filename}'")

>>2689809
looks kind of useless since you already know what the underlying behavior is. a sinusodial model would be enough

Somebody asked on 4chan the other day whether communist could prove they could do superior planning by proving they could complete a public project on time.
That got me wondering. There is talk about how cybernetic planning could forecast demand. However there is no talk about public projects.
How could the state forecast sonething like how long itd take the chipfab being built in the us for example?

does someone have the new farjoun and machover digitally? it's quite expensive as a physical copy.

>>2722642
it would help if you specified which book exactly. he's HLPtGE

here's a meme for all control theory enjoyers ITT

>the /cockpol/ thread has more activity than this one
controlsisters, is it over?

I'm a complete noob in computing. Can anyone of you guys explain what the fuck is being said in this image? It mentions cybernetics so maybe it can be helpful to cyber communism.

>>2761624
Wtf is this? Where did u get it from?

>>2761624
pic HIGHLY related to your pic

>>2761624
I'm retarted so I asked ShatSloppidy what dat pic mean

>>2761624
most programmers work on easy problems, and problems that can be turned into easy ones. in planning, instead of finding the exact solution for a linear program, which is almost certainly NP, we can instead find an approximate solution, which is P
for an example of spooky things happening in the upper echelons of computing, look into the Busy Beaver problem. castorologists have identified Collatz-esque problems to be the big stumbling block at present, and this is for BB(6). that is, we do not know for how long the longest-running terminating 6-state Turing machine will actually run for
Wikipedia has a nice summary of why the Busy Beaver problem is mathematically relevant:
>One of the most consequential aspects of the busy beaver game is that, if it were possible to compute the functions Σ(n) and S(n) for all n, then this would resolve all mathematical conjectures which can be encoded in the form "does ⟨this Turing machine⟩ halt".[5] For example, there is a 27-state Turing machine that checks Goldbach's conjecture for each number and halts on a counterexample; if this machine did not halt after running for S(27) steps, then it must run forever, resolving the conjecture.[5][7] Many other problems, including the Riemann hypothesis (744 states) and the consistency of ZF set theory (745 states[8][9]), can be expressed in a similar form, where at most a countably infinite number of cases need to be checked.[5]
this is the essence of the "32 bytes" claim in the beginning. 32*8 = 256 bits. a binary S-state Turing machine can be encoded in 2*S*log2(2*S+1) bits. all machines in BB(6) occupy a mere 45 bits, and this class of programs already contains a very hard problem (the Collatz conjecture). the 27-state Goldbach machine mentioned in the WP text would take 313 bits to encode, and it is likely not even the most difficult machine to reason about in that set
this isn't that important for cybernetics however. control theorists are concerned with practical problems

>>2789841
fuck… he sounds like shit… i hope we don't lose him… he's getting so old

oh the irony

>>2790466
If cockshott were really as smart as the people in this thread believe, he would stay away from those algorithmic brain-raping machines. That guy lacks critical thinking skills.

>>2632205
>Let him bicker with zionists on twitter.

yes, feed the machine! Give the machine your full attention! Algorithmic servitude is the best thing there is! Hallowed be Grok! A true cyberneticist becomes one with the machine.

>>2790484
imagine if marx was around today. he'd bee cooked.

>>2790484
Pro tip: If you're truly fans and supporters of Paul Cockshott, then you should specifically deplatform him from X. It would do him good, and then he'd have a clear head again to make more videos. Because currently, he's wasting his brainpower on pointless discussions with engagement bots on X.

>>2790497
i think this is the updated 2020s equivalent of old people in 2010 who got hooked on fox, newsmax, GB news, where they had brainrot streamed directly into their eyeballs like a heroin shot into their skulls. people were complaining that their parents who had been 'normal' suddenly became unhinged Q-anon trump pizzagate kooks

>>2790500
if twitter existed in the 19th century, marx wouldn't even finished chapter 1 of Capital

>>2761624
those symbols (P, NP, etc.) are complexity classes. some refer to "time" complexity (how long it would take to compute or decide something), others to "space" complexity (how much memory it would take). the graph is a little disingenuous, research has focused on the "simple" problems because that's what can realistically be done with computers. programmers aren't "afraid" of those other symbols, they just avoid them because they want things to actually get done in a realistic amount of time and space

to give you an example related to cybernetics, all of cockshott's ideas in TANS can be implemented and run, even with very big datasets, on the same computer you're using to read this post; but most of härdin's stuff can only be run locally (on your machine) with very small datasets because they belong to slightly higher complexity classes

does anyone here know of any good course on linear programming? I remember finding lectures from some university during covid (I think it was cmu, they had a platform with all their recorded lectures open for the public) but I lost the link. I vaguely remember an exercise about optimizing paper rolls at the end of the first or second lecture

Sidequest theory

>>2761624
where did you get this from? Did you just find the image online or was it part of an actual book?

>>2790481
anon's point is he shouldn't be the focus anymore because he's old

is it true that dickblast thinks consciousness don't real? how are we supposed to have class consciousness then?

>>2790567
>old people are useless trash and deserve no dignity

thats even worse.

>>2790659
>is it true that dickblast thinks consciousness don't real?
yes
>how are we supposed to have class consciousness then?
you cant.

https://www.youtube.com/watch?v=Kjja-oNyfdI&lc=UgyUuExX9DapVDDvegF4AaABAg.9M9DRCgtIyh9MCmVc8AyBH

>>2793339


There is a profound irony in watching Paul Cockshott argue on Big Tech plattforms like Youtube or X. Here is a man who built his reputation as a Marxist cybernetician, an advocate for computational planning, feedback loops, and the scientific control of economic systems, reducing consciousness to the firing of olfactory receptors and the mechanical response of cone cells. In the screenshot, he insists that experience is not the “activity of consciousness” but the brute material fact of “the activity of her olfactory receptors and the olfactory bulb in her brain.” Consciousness itself, he declares, is a “vacuous statement,” a mere “stand-in word” that papers over the ignorance of philosophers who refuse to accept that primates see red simply because they have the right photoreceptors.

This is Cockshott the rigorous materialist: nothing but matter in motion, no mysterious “activity” beyond the biological hardware, no patience for the “ignorant early 19th century speculators” who wondered how the brain represents the world. And yet, this same Cockshott is the most perfect example of a mind captured by a cybernetic system he does not control.

X is a cybernetic apparatus par excellence. It senses behavior (clicks, dwell time, rage-replies), processes information through opaque ranking algorithms, and acts upon the user by modulating visibility and dopaminergic reward. The system is designed to steer its objects - its users - toward predictable, profitable outputs: engagement, addiction, and emotional arousal. Cockshott, the expert in control systems and information loops, should recognize this architecture instantly. Instead, he has become its control object.

He believes he is the subject steering discourse, deploying his materialist polemics against idealists and bourgeois reifications. But the platform treats him exactly as he treats consciousness: as a material process to be regulated. His nervous system, his anger, his compulsion to reply, these are not expressions of an autonomous “knowing subject.” They are the regulated outputs of an external cybernetic loop. Every time he logs on to dismiss consciousness as a “bourgeois legal category,” he demonstrates the very thing he denies: a human behavior so thoroughly modulated by algorithmic feedback that the “activity of consciousness” has been replaced by the reflex of engagement. He is not posting; he is being processed.

This is what makes him an X junkie. The man who wrote "How the World Works" cannot see how THIS system works on HIM. He mocks idealists for reifying “the subject,” accusing them of importing bourgeois legal fantasies into philosophy. But on X or Youtube, he himself is reified, not as a legal person, but as a data node. His reduction of the mind to cone cells and neurons is mirrored by the platform’s reduction of him to a user ID, an engagement metric, a retention statistic. The materialist who insists that “it is not consciousness that enables experience” has found the one environment where that is literally true: an algorithmic feed where consciousness is irrelevant and only the mechanical reflex of interaction matters.

Cockshott the cybernetician became Cockshott the controlled variable. He imagined cybernetics as a tool for human emancipation through planning, yet he spends his days as the planned object of a system designed to extract value from his attention. The brain he describes so reductively, merely olfactory bulbs and photoreceptors is precisely what X exploits. And he keeps coming back for more, one reply at a time, proving that even the most hardened materialist can miss the one material system that has colonized his own mind.

OK, TANS has a big input-output matrix and individual choice in consumption items via personal budgets, but aside from that, what freedom will individual people actually have, I mean at their places of work?

There will never be a consensus on what proper working conditions really ought to be. There will not be a consensus on what really is a reasonable weekly work time. At best, there will be an overwhelming majority behind this or that regulation. So what about minority opinions? For the question of work time, we can surely arrange things so that individual people can also work a couple hours more or less, and get higher or lower remuneration. We can likewise have some performance-based adjustment. Both these ideas are already in TANS.

I figure we can do the same thing with many other aspects of work. For example, you may want to be able to come a couple minutes later than usual and just leave a bit later to make up for it without getting into any trouble. You may want to be able to quit on very short notice. You may not want to change your sleep pattern every two weeks because of working a night shift. Think of these job aspects as features you "pay" for through a lower salary, a lower salary that is not set that way as a punishment, but based on estimates on how these features negatively affect productivity.

Let's think of the configuration of jobs available not a something that entirely results from targets about what is to be produced, but as something that is also constructed around the job features in high demand by the workers.

>>2794976
as far as I know he never really addresses the contradiction between consumers wanting more things more cheaply and workers not wanting to labor

Where is the schizo creating the planned economy bot. You would think there would be one Terry Davis MF working on an AI for that exact purpose
>not enough Data
Use as much data that is already available. Better sooner than later

>>2794976
you can't plan with input-output. you need LP
>>2795025
that contradiction is easy to resolve: develop the MoPs

>>2795355
we can simply decide what the length of the working week is, and everything follows from that. this doesn't prevent people from doing things as a hobby

>>2795040
>ai
the point of cybernetics is that planning can be done with discrete algorithms, not AI

>>2796590
>the point of cybernetics is that planning can be done with discrete algorithms, not AI
yes

>>2795040

>Where is the schizo creating the planned economy bot. You would think there would be one Terry Davis MF working on an AI for that exact purpose
>>not enough Data
>Use as much data that is already available. Better sooner than later

oec.world has a lot of data, from several nations, but that's just trade flow. idk how you convert trade flows into plans. and who cares about making planning software if there's nobody in power to actually implement those plans? The world is still divided into nations doing destructive "geopolitics" that race to the bottom and dedicate trillions in resources to strategically outmaneuvering each other. Countries will destroy trillions of dollars to secure billions of dollars. It is an irrational and suicidal system: Capitalism.

>>2795981
>we can simply decide what the length of the working week is, and everything follows from that.
anon that's not how planning works because different commodities are produced and consumed at different rates, and services also have variable demand. In a war you need surgeons who remove bullets and shrapnel working around the clock for example.

>>2796641
uhuh. and in that case we will notice whether we hit the surgeon constraint and we will have to decide whether to relax the labor constraint, to train more surgeons or to simply let people die