Healthy bowels.

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Cake day: August 3rd, 2023

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  • Some companies are doing it to create a hostile workplace to increase attrition. If an employee quits, they don’t have to pay unemployment or severance. Other companies have huge investments in corporate real estate. They have been sitting on short-term loans that are coming due. The property owners are keeping their real-estate values artificially high, but to one wants to rent/lease them, so they aren’t as valuable as in practice as they look on paper. Some companies get tax breaks from cities to put their offices there and will not continue to reap those rewards if their workers are not coming into the city. Don’t let them gaslight you about culture or face time because that has all been debunked. A lot of remote workers are coming in to the office and sitting on Zoom/Teams calls in their cubicles.
















  • Here’s what ChatGPT 3.5 says:

    The Rosetta Stone played a crucial role in deciphering Egyptian hieroglyphics because it provided a key to understanding the script by presenting the same text in three different scripts: Ancient Greek, Egyptian hieroglyphics, and demotic (a simplified script used for everyday purposes). This allowed scholars to correlate the known Greek text with the Egyptian texts and begin to decipher the hieroglyphics.

    A GPT-based AI, while powerful in many ways, would likely face significant challenges in deciphering Egyptian hieroglyphics without access to something akin to the Rosetta Stone. Here’s why:

    1. Lack of Direct Contextual Data: GPT models learn from a vast amount of text data, but the historical and contextual gap between modern languages and ancient Egyptian hieroglyphics is enormous. GPT models might not have enough direct or relevant data to bridge this gap.

    2. Limited Multilingualism: GPT models, including their previous versions like GPT-3.5, do not inherently “know” multiple languages the way humans do. They have learned statistical patterns in text, which enables them to generate text in multiple languages but doesn’t guarantee deep understanding or translation of highly specialized languages like hieroglyphics.

    3. Lack of Connection to the Rosetta Stone Context: GPT models lack the ability to access external sources or historical events, which is what made the Rosetta Stone so invaluable in deciphering hieroglyphics. Without access to that kind of contextual information, it would be difficult for the model to make the necessary connections.

    4. Complex Symbolic Nature: Egyptian hieroglyphics are not a straightforward language like those GPT models are trained on. Hieroglyphics use a combination of ideograms, phonograms, and determinatives to convey meaning. The complexity of hieroglyphics goes beyond the syntax and structure of modern languages, making it a unique challenge.

    In summary, while a GPT-based AI could perform some basic statistical analyses on hieroglyphics to identify patterns, it’s unlikely to decipher the script in a comprehensive and accurate way without a Rosetta Stone-like source that provides a bridge between the ancient script and a known language. Hieroglyphics represent a highly specialized domain that would require deep contextual understanding, which GPT models might struggle to achieve given their current capabilities.