ChatGPT is bullshit
Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.
How Google Search indexes JavaScript sites - JavaScript SEO
The first part of this post will focus on how are Reddit stories ranked? The second part of this post will focus on comment ranking, which does not use the same ranking as stories. Reddit’s .comment ranking algorithm is quite interesting and the idea guy behind it is Randall Munroe
SQL Server 2019 is designed to solve challenges of the modern data professional including:
