Eighteen Months Kindle Edition by Leslie Jones McCloud (Author) Format: Kindle Edition

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Cannibalism During the Siege of Leningrad

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•  Context of the Siege : The Nazi blockade of Leningrad (September 8, 1941 – January 27, 1944) cut off food supplies, leading to mass starvation. By winter 1941–1942, daily rations dropped to as low as 125 grams of bread (often mixed with sawdust) for civilians. Over 800,000 civilians died, primarily from hunger. •  (video)  Cannibalism Reports : •  Scale : Desperation drove some to cannibalism, though it was not widespread. Soviet records document around 2,000 arrests for cannibalism-related crimes during the siege, a small fraction compared to the city’s population of ~2.5 million at the start. •  Types : Two forms were reported: •  Necrophagy : Consuming already deceased bodies, often from corpses found in streets or homes. •  Criminal Cannibalism : Rare cases of murder for food, including isolated reports of individuals killing to consume others. •  Examples : NKVD (Soviet secret police) reports noted cases like a mother fe...
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Where can I get money online?

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Generic AI  Illustration of  a payday loan store.  Looking to earn money online? You can take all week to explore how to make cash from home, freelancing , surveys, content creation , and digital side hustles . But also, there are quick, short-term loan apps —that when utilized honestly and responsibly—can solve temporarily tight budget crises. Payday loan apps offer quick cash advances before your next paycheck, helping cover emergencies. While convenient, they often include high fees or interest, so borrowing responsibly is essential to avoid debt cycles. Brigit and Albert are the names of popular financial technology (fintech) apps designed to help users manage short-term cash flow issues, primarily through cash advances (small, interest-free loans repaid from future paychecks).  Both apps are for people with tight budgets, offering tools to avoid overdraft fees or payday loans . Below, I’ll break down what each does based on their core features as of 2025. ...
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Developing AI Models

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Turning an AI model into an expert in your domain can be done in several layered steps depending on how much control you have over the model and what resources you have available. Here’s a breakdown from light customization to deep-level training (for developers and organizations): 1. Define Your Domain and Use Cases Clearly First, you need to narrow the scope of expertise: What specific knowledge area?  What tasks do you want the AI to perform expertly? This clarity shapes the kind of data and examples you’ll feed it. 2. Teach the Model Through Interaction (Light Customization) For models like ChatGPT , you can: Feed it structured examples — and say, “Use this structure for all future responses.” Refine responses iteratively — correct its tone, accuracy, or style over time. Each correction acts like incremental fine-tuning through context learning. Use “memory” features (like mine) to persist your domain rules and preferences. This approach gradually makes the AI “...
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