falseness exists here. Poisoning the Well: Warning about the learning curve for tools like React before even discussing them undermines confidence in ability to use them. Red Herring: Discussing details about front end development distracts from the main argument about building AI applications. Fallacy of Sunk Costs: Just because a lot of time, money, and computing power went into developing large language models doesn't mean they are actually useful or accurate. No True Scotsman: Saying mistakes from language models means "do not trust its answer all the time" suggests they aren't "true" language models when they fail. Appeal to Ignorance: Falsely claims that using AI locally will "freeze" your computer, without justification. This assumes a lack of knowledge by the audience. Personal Incredulity: Finding it hard to believe laptops can run complex AI locally because of personal experience doesn't mean it isn't possible. Appeal to Authority: Citing impressive organizations like Google and OpenAI shouldn't outweigh critical evaluation of claims. Hasty Generalization: Limited trials of AI agents conversing can't justify generalizations about all their possible applications. Switching between industry hype about AI and technical realities conflates two meanings of intelligence. Appeal to Pity: Saying "do not overwhelm" the audience with code suggests inability rather than complexity is the barrier to understanding. --
falseness exists here. Poisoning the Well: Warning about the learning curve for tools like React before even discussing them undermines confidence in ability to use them.
Red Herring: Discussing details about front end development distracts from the main argument about building AI applications.
Fallacy of Sunk Costs: Just because a lot of time, money, and computing power went into developing large language models doesn't mean they are actually useful or accurate.
No True Scotsman: Saying mistakes from language models means "do not trust its answer all the time" suggests they aren't "true" language models when they fail.
Appeal to Ignorance: Falsely claims that using AI locally will "freeze" your computer, without justification. This assumes a lack of knowledge by the audience.
Personal Incredulity: Finding it hard to believe laptops can run complex AI locally because of personal experience doesn't mean it isn't possible.
Appeal to Authority: Citing impressive organizations like Google and OpenAI shouldn't outweigh critical evaluation of claims.
Hasty Generalization: Limited trials of AI agents conversing can't justify generalizations about all their possible applications.
Switching between industry hype about AI and technical realities conflates two meanings of intelligence.
Appeal to Pity: Saying "do not overwhelm" the audience with code suggests inability rather than complexity is the barrier to understanding.
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Wow, this list is impressive! Did you generate them automatically by some bias detectors?