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  • Musk has pledged $62.5 billion in Tesla stock as collateral for margin loans of $12.5 billion.

    Giacomo Santangelo, a senior lecturer in economics at Fordham University said “A 20% stock decline on a 60% loan-to-value loan means the borrower must immediately post additional collateral or face forced liquidation. This creates cascade risk, where small declines trigger margin calls, forcing either more pledging or open-market sales, putting more pressure on the stock.”

    https://www.forbes.com/sites/eriksherman/2025/06/05/does-elon-musks-borrowing-show-a-super-low-tesla-stock-valuation/

  • 'agents' just interact with other programs.

    If that other program is, say, a python terminal then can't LLMs be trained to use agents to solve problems outside their area of expertise?

    I just tested chatgpt to write a python program to return the frequency of letters in a string, then asked it for the number of L's in the longest placename in Europe.

    ''''

    String to analyze

    text = "Llanfairpwllgwyngyllgogerychwyrndrobwllllantysiliogogogoch"

    Convert to lowercase to count both 'L' and 'l' as the same

    text = text.lower()

    Dictionary to store character frequencies

    frequency = {}

    Count characters

    for char in text: if char in frequency: frequency[char] += 1 else: frequency[char] = 1

    Show the number of 'l's

    print("Number of 'l's:", frequency.get('l', 0))

    '''

    I was impressed until

    Output

    Number of 'l's: 16

  • On the plus side, RFKjr:-

    • Is already rich
    • Has a mistrust of corporations.
    • Doesn't seem to be personally financially benefiting
    • Doesn't spout MAGA nonsense

    On the minus side, RFKJr;

    • Is a lawyer, not a doctor or a scientist
    • Seems to believe anything he is told
    • has erroneously associated autism with vaccines
    • is trading hard on his family name
    • eats roadkill
    • had part of his brain eaten by worms
  • Her son — her only child — experienced serious, long-term health problems following receipt of seven live virus and killed bacterial vaccines administered during his 15-month well-baby visit.

    Totally unbiased then.

  • a much simpler and dumber machine that was designed to handle this basic input question could have come up with the answer faster and more accurately

    The human approach could be to write a (python) program to count the number of characters precisely.

    When people refer to agents, is this what they are supposed to be doing? Is it done in a generic fashion or will it fall over with complexity?