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Joined 2 years ago
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Cake day: June 26th, 2023

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  • Yes I have been a Lemmy advocate since I joined, but I have only ever gotten one person to use Lemmy. I told one of my daughters friends mom about Lemmy. She does not allow her daughter to use social media. Except for Lemmy.

    So that is it. My one conversion. I have kind of given up on trying to convert people. I still love Lemmy and the Fediverse, but the year of Lemmy mainstream has yet to come.


  • I read it. It was relevant. Otherwise I would not have posted it. I did not clean it up because I was on mobile and it was legible as is.

    I asked several questions and was impressed at the result. I know people do not like LLMs, but they are tools just like a search engine. I am somehow getting Butlerian Jihad vibes.



  • xylogx@lemmy.worldtoAsk Lemmy@lemmy.worldWhat happened in 1971?
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    14 days ago

    From ChatGPT:

    Ending the Bretton Woods system in 1971 had a cascading effect on corporate profits and income distribution. Wealth shifting toward shareholders and executives rather than workers:

    1. Deregulation of Money and Credit

    Once the dollar was no longer tied to gold, the U.S. government and Federal Reserve had more flexibility in managing the money supply. This led to:

    • Higher inflation, which eroded workers’ real wages.

    • Easier access to credit, fueling corporate financialization (more focus on stock buybacks, mergers, and financial engineering instead of wage growth).

    2. Rise of Shareholder Capitalism

    With the shift away from the gold standard, corporate governance changed. Instead of focusing on long-term growth and worker stability, companies prioritized maximizing shareholder value, which became a dominant ideology by the 1980s (reinforced by Milton Friedman’s theories).

    • Stock Buybacks & Dividends – Companies increasingly used profits to buy back shares, boosting stock prices and benefiting executives/shareholders.

    • Executive Compensation in Stocks – CEO pay shifted from salaries to stock options, aligning their interests with shareholders rather than employees.

    3. Decline in Labor’s Bargaining Power

    As globalization and automation accelerated, companies could move production abroad, weakening the leverage of American workers. Meanwhile:

    • Unions declined, further reducing workers’ ability to demand wage increases.

    • Deregulation in industries like finance, airlines, and trucking shifted power away from labor and toward corporate management.

    4. Explosion of Financialization

    The detachment from gold allowed an unrestricted credit boom, fueling speculative bubbles and making the financial sector more dominant. Instead of reinvesting profits into worker wages or capital expansion, firms:

    • Focused on financial activities (derivatives, leveraged buyouts, etc.), which benefited investors rather than workers.

    • Moved toward short-term profits, cutting costs via outsourcing and automation.

    End Result

    With productivity still rising but wages stagnating, the gains went disproportionately to executives and shareholders. This is why, after 1971, you see charts showing a widening gap between worker pay and corporate profits.




  • When I was in grade school we had a self-directed math program called Individually Prescribed Instruction or IPI. In the program you would take a pre-test and based on the results do a set of exercises. Then you took a post-test to close out that section. What I realized is that since the exercises are self directed we had unsupervised access to the exercises and the solutions. When given the pre-tests I would look up examples in the exercises with the solutions to figure out how to do the questions. I then proceeded to speed run the whole IPI curriculum. This gave me a leg up in math. I proceeded to get a 100% on my Algebra regents and just generally crush it in math. Ended up getting a uni degree in math and physics. This opened many doors for me later in life.




  • The question of which jobs should be replaced by AI depends on societal values, priorities, and the potential impact on workers. Generally, jobs most suited for replacement by AI involve repetitive, high-volume tasks, or those where automation can improve safety, efficiency, or precision. Here are some categories often discussed:

    Repetitive and Routine Tasks

    • Manufacturing and assembly line work: Machines can perform repetitive tasks with greater efficiency and precision.

    • Data entry and processing: AI can automate mundane tasks like updating databases or processing forms.

    • Basic customer service: Chatbots and virtual assistants can handle frequently asked questions and routine inquiries.

    High-Risk Roles

    • Dangerous jobs in mining or construction: Robots can reduce human exposure to hazardous environments.

    • Driving in risky environments: Self-driving vehicles could improve safety for delivery drivers or long-haul truckers in hazardous conditions.

    Analytical and Predictable Roles

    • Basic accounting and bookkeeping: AI can handle invoicing, payroll, and tax calculations with high accuracy.

    • Legal document review: AI can analyze contracts and identify discrepancies more quickly than humans.

    • Radiology and diagnostics: AI is becoming adept at reading medical scans and assisting in diagnoses.

    Jobs With High Inefficiencies

    • Warehouse operations: Inventory sorting and retrieval can be automated for faster fulfillment.

    • Food service (e.g., fast food preparation): Robotic systems can prepare meals consistently and efficiently.

    • Retail checkout: Self-checkout systems and AI-powered kiosks can streamline purchases.

    Considerations for Replacement

    1. Human Impact: Automation should ideally target roles where job transitions can be supported with retraining and upskilling.

    2. Creativity and Emotional Intelligence: Jobs requiring complex human interaction, creativity, or emotional intelligence (e.g., teaching, counseling) are less suitable for AI replacement.

    3. Ethical Concerns: Some jobs, like judges or certain healthcare roles, involve moral decision-making where human judgment is irreplaceable.

    Instead of framing it as total “replacement,” many advocate for AI to augment human workers, enabling them to focus on higher-value tasks while reducing drudgery.

    Generated by ChatGPT