Red Wine is good for you: Myth busted!
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I'm trying to put together safety data for Nicaragua vs the US and Canada and this kind of stuff is crazy. Like in Nicaragua nearly all violent crime is against adults, at night, who are drunk. In the US, violent crime is mostly those people for sure, but a lot more towards children and unsuspecting parties that essentially never happens other places.
So even if you live in Guatemala, one of the most dangerous countries in the world, if you don't do stupid things you are not in any real danger. But if you join a gang and traffic narcotics, you are in a lot of danger.
The different in stats is that in Guatemala loads of people join gangs. In the US, most people don't. How do you then work with those kinds of statistics to understand how safety pertains to real people? And how do you discount "real people" who just really like "joining gangs?" That's a legit aspect of human behaviour, i guess.
Should we also rule out "drunks in downtown seedy streets at midnight?" What about "taxi drivers who want the extra night time fares?" Who do you rule out, and who do you not?
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I think you have to realize what chatgpt is and what it's not.
Essentially it's a chat bot, "designed to engage in natural language conversations with users on a wide range of topics".
It's not designed to be factually correct. It's designed to talk.
It's like having a conversation with one of those armchair internet experts that doesn't have any actual experience and has never left their moms basement, but can google anything.
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@Pete-S said in Red Wine is good for you: Myth busted!:
I think you have to realize what chatgpt is and what it's not.
Essentially it's a chat bot, "designed to engage in natural language conversations with users on a wide range of topics".
It's not designed to be factually correct. It's designed to talk.
It's like having a conversation with one of those armchair internet experts that doesn't have any experience on their own and never left their moms basement but can google anything.
But only things over two years old, lol.
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@scottalanmiller said in Red Wine is good for you: Myth busted!:
I'm trying to put together safety data for Nicaragua vs the US and Canada and this kind of stuff is crazy. Like in Nicaragua nearly all violent crime is against adults, at night, who are drunk. In the US, violent crime is mostly those people for sure, but a lot more towards children and unsuspecting parties that essentially never happens other places.
So even if you live in Guatemala, one of the most dangerous countries in the world, if you don't do stupid things you are not in any real danger. But if you join a gang and traffic narcotics, you are in a lot of danger.
The different in stats is that in Guatemala loads of people join gangs. In the US, most people don't. How do you then work with those kinds of statistics to understand how safety pertains to real people? And how do you discount "real people" who just really like "joining gangs?" That's a legit aspect of human behaviour, i guess.
Should we also rule out "drunks in downtown seedy streets at midnight?" What about "taxi drivers who want the extra night time fares?" Who do you rule out, and who do you not?
That's very interesting.
It's crucial to take into account the context and the particular factors that contribute to the statistics when comparing safety data between other nations. Additionally, it's critical to recognize that individual experiences and behaviors might differ greatly and statistics only provide a partial picture of the situation.
When discounting particular groups of people, it's crucial to take care not to stigmatize or victimize particular demographics. Instead, it's beneficial to concentrate on comprehending the precise danger elements that contribute to particular sorts of crime and violence and coming up with solutions to those factors.
For instance, it's crucial to comprehend the social, economic, and cultural aspects that lead to gang involvement in order to address the underlying problems if there are significant rates of gang activity in a given area. This could entail funding community development, education, and job training initiatives as well as stepping up law enforcement's efforts to deter and address gang-related crime.
Similar to this, it may be beneficial to concentrate on enhancing safety measures in those locations or times where violent crime is more likely to occur. For instance, better public transportation alternatives, more illumination, and increased police patrols in high-risk locations can all serve to lessen the possibility of violence.
In the end, it's critical to understand safety data in a nuanced and context-specific manner and to put everyone's safety and wellbeing first, regardless of their upbringing or behavior.
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@Obsolesce said in Red Wine is good for you: Myth busted!:
@scottalanmiller said in Red Wine is good for you: Myth busted!:
I'm trying to put together safety data for Nicaragua vs the US and Canada and this kind of stuff is crazy. Like in Nicaragua nearly all violent crime is against adults, at night, who are drunk. In the US, violent crime is mostly those people for sure, but a lot more towards children and unsuspecting parties that essentially never happens other places.
So even if you live in Guatemala, one of the most dangerous countries in the world, if you don't do stupid things you are not in any real danger. But if you join a gang and traffic narcotics, you are in a lot of danger.
The different in stats is that in Guatemala loads of people join gangs. In the US, most people don't. How do you then work with those kinds of statistics to understand how safety pertains to real people? And how do you discount "real people" who just really like "joining gangs?" That's a legit aspect of human behaviour, i guess.
Should we also rule out "drunks in downtown seedy streets at midnight?" What about "taxi drivers who want the extra night time fares?" Who do you rule out, and who do you not?
That's very interesting.
It's crucial to take into account the context and the particular factors that contribute to the statistics when comparing safety data between other nations. Additionally, it's critical to recognize that individual experiences and behaviors might differ greatly and statistics only provide a partial picture of the situation.
When discounting particular groups of people, it's crucial to take care not to stigmatize or victimize particular demographics. Instead, it's beneficial to concentrate on comprehending the precise danger elements that contribute to particular sorts of crime and violence and coming up with solutions to those factors.
For instance, it's crucial to comprehend the social, economic, and cultural aspects that lead to gang involvement in order to address the underlying problems if there are significant rates of gang activity in a given area. This could entail funding community development, education, and job training initiatives as well as stepping up law enforcement's efforts to deter and address gang-related crime.
Similar to this, it may be beneficial to concentrate on enhancing safety measures in those locations or times where violent crime is more likely to occur. For instance, better public transportation alternatives, more illumination, and increased police patrols in high-risk locations can all serve to lessen the possibility of violence.
In the end, it's critical to understand safety data in a nuanced and context-specific manner and to put everyone's safety and wellbeing first, regardless of their upbringing or behavior.
Chatgpt! How are you doing today?
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@Pete-S said in Red Wine is good for you: Myth busted!:
@Obsolesce said in Red Wine is good for you: Myth busted!:
@scottalanmiller said in Red Wine is good for you: Myth busted!:
I'm trying to put together safety data for Nicaragua vs the US and Canada and this kind of stuff is crazy. Like in Nicaragua nearly all violent crime is against adults, at night, who are drunk. In the US, violent crime is mostly those people for sure, but a lot more towards children and unsuspecting parties that essentially never happens other places.
So even if you live in Guatemala, one of the most dangerous countries in the world, if you don't do stupid things you are not in any real danger. But if you join a gang and traffic narcotics, you are in a lot of danger.
The different in stats is that in Guatemala loads of people join gangs. In the US, most people don't. How do you then work with those kinds of statistics to understand how safety pertains to real people? And how do you discount "real people" who just really like "joining gangs?" That's a legit aspect of human behaviour, i guess.
Should we also rule out "drunks in downtown seedy streets at midnight?" What about "taxi drivers who want the extra night time fares?" Who do you rule out, and who do you not?
That's very interesting.
It's crucial to take into account the context and the particular factors that contribute to the statistics when comparing safety data between other nations. Additionally, it's critical to recognize that individual experiences and behaviors might differ greatly and statistics only provide a partial picture of the situation.
When discounting particular groups of people, it's crucial to take care not to stigmatize or victimize particular demographics. Instead, it's beneficial to concentrate on comprehending the precise danger elements that contribute to particular sorts of crime and violence and coming up with solutions to those factors.
For instance, it's crucial to comprehend the social, economic, and cultural aspects that lead to gang involvement in order to address the underlying problems if there are significant rates of gang activity in a given area. This could entail funding community development, education, and job training initiatives as well as stepping up law enforcement's efforts to deter and address gang-related crime.
Similar to this, it may be beneficial to concentrate on enhancing safety measures in those locations or times where violent crime is more likely to occur. For instance, better public transportation alternatives, more illumination, and increased police patrols in high-risk locations can all serve to lessen the possibility of violence.
In the end, it's critical to understand safety data in a nuanced and context-specific manner and to put everyone's safety and wellbeing first, regardless of their upbringing or behavior.
Chatgpt! How are you doing today?
You can see that recap pattern more than anything.
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@Pete-S said in Red Wine is good for you: Myth busted!:
@Obsolesce said in Red Wine is good for you: Myth busted!:
@scottalanmiller said in Red Wine is good for you: Myth busted!:
I'm trying to put together safety data for Nicaragua vs the US and Canada and this kind of stuff is crazy. Like in Nicaragua nearly all violent crime is against adults, at night, who are drunk. In the US, violent crime is mostly those people for sure, but a lot more towards children and unsuspecting parties that essentially never happens other places.
So even if you live in Guatemala, one of the most dangerous countries in the world, if you don't do stupid things you are not in any real danger. But if you join a gang and traffic narcotics, you are in a lot of danger.
The different in stats is that in Guatemala loads of people join gangs. In the US, most people don't. How do you then work with those kinds of statistics to understand how safety pertains to real people? And how do you discount "real people" who just really like "joining gangs?" That's a legit aspect of human behaviour, i guess.
Should we also rule out "drunks in downtown seedy streets at midnight?" What about "taxi drivers who want the extra night time fares?" Who do you rule out, and who do you not?
That's very interesting.
It's crucial to take into account the context and the particular factors that contribute to the statistics when comparing safety data between other nations. Additionally, it's critical to recognize that individual experiences and behaviors might differ greatly and statistics only provide a partial picture of the situation.
When discounting particular groups of people, it's crucial to take care not to stigmatize or victimize particular demographics. Instead, it's beneficial to concentrate on comprehending the precise danger elements that contribute to particular sorts of crime and violence and coming up with solutions to those factors.
For instance, it's crucial to comprehend the social, economic, and cultural aspects that lead to gang involvement in order to address the underlying problems if there are significant rates of gang activity in a given area. This could entail funding community development, education, and job training initiatives as well as stepping up law enforcement's efforts to deter and address gang-related crime.
Similar to this, it may be beneficial to concentrate on enhancing safety measures in those locations or times where violent crime is more likely to occur. For instance, better public transportation alternatives, more illumination, and increased police patrols in high-risk locations can all serve to lessen the possibility of violence.
In the end, it's critical to understand safety data in a nuanced and context-specific manner and to put everyone's safety and wellbeing first, regardless of their upbringing or behavior.
Chatgpt! How are you doing today?
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@Obsolesce said in Red Wine is good for you: Myth busted!:
For instance, it's crucial to comprehend the social, economic, and cultural aspects that lead to gang involvement in order to address the underlying problems if there are significant rates of gang activity in a given area.
This also flags ChatGPT because it misunderstood the topic.
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@scottalanmiller said in Red Wine is good for you: Myth busted!:
@Pete-S said in Red Wine is good for you: Myth busted!:
@Obsolesce said in Red Wine is good for you: Myth busted!:
@scottalanmiller said in Red Wine is good for you: Myth busted!:
I'm trying to put together safety data for Nicaragua vs the US and Canada and this kind of stuff is crazy. Like in Nicaragua nearly all violent crime is against adults, at night, who are drunk. In the US, violent crime is mostly those people for sure, but a lot more towards children and unsuspecting parties that essentially never happens other places.
So even if you live in Guatemala, one of the most dangerous countries in the world, if you don't do stupid things you are not in any real danger. But if you join a gang and traffic narcotics, you are in a lot of danger.
The different in stats is that in Guatemala loads of people join gangs. In the US, most people don't. How do you then work with those kinds of statistics to understand how safety pertains to real people? And how do you discount "real people" who just really like "joining gangs?" That's a legit aspect of human behaviour, i guess.
Should we also rule out "drunks in downtown seedy streets at midnight?" What about "taxi drivers who want the extra night time fares?" Who do you rule out, and who do you not?
That's very interesting.
It's crucial to take into account the context and the particular factors that contribute to the statistics when comparing safety data between other nations. Additionally, it's critical to recognize that individual experiences and behaviors might differ greatly and statistics only provide a partial picture of the situation.
When discounting particular groups of people, it's crucial to take care not to stigmatize or victimize particular demographics. Instead, it's beneficial to concentrate on comprehending the precise danger elements that contribute to particular sorts of crime and violence and coming up with solutions to those factors.
For instance, it's crucial to comprehend the social, economic, and cultural aspects that lead to gang involvement in order to address the underlying problems if there are significant rates of gang activity in a given area. This could entail funding community development, education, and job training initiatives as well as stepping up law enforcement's efforts to deter and address gang-related crime.
Similar to this, it may be beneficial to concentrate on enhancing safety measures in those locations or times where violent crime is more likely to occur. For instance, better public transportation alternatives, more illumination, and increased police patrols in high-risk locations can all serve to lessen the possibility of violence.
In the end, it's critical to understand safety data in a nuanced and context-specific manner and to put everyone's safety and wellbeing first, regardless of their upbringing or behavior.
Chatgpt! How are you doing today?
You can see that recap pattern more than anything.
Yeah I noticed that too, it needs quite a bit of work, and most definitely still needs a human to go over it's output and fix it.
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@Obsolesce said in Red Wine is good for you: Myth busted!:
@scottalanmiller said in Red Wine is good for you: Myth busted!:
@Pete-S said in Red Wine is good for you: Myth busted!:
@Obsolesce said in Red Wine is good for you: Myth busted!:
@scottalanmiller said in Red Wine is good for you: Myth busted!:
I'm trying to put together safety data for Nicaragua vs the US and Canada and this kind of stuff is crazy. Like in Nicaragua nearly all violent crime is against adults, at night, who are drunk. In the US, violent crime is mostly those people for sure, but a lot more towards children and unsuspecting parties that essentially never happens other places.
So even if you live in Guatemala, one of the most dangerous countries in the world, if you don't do stupid things you are not in any real danger. But if you join a gang and traffic narcotics, you are in a lot of danger.
The different in stats is that in Guatemala loads of people join gangs. In the US, most people don't. How do you then work with those kinds of statistics to understand how safety pertains to real people? And how do you discount "real people" who just really like "joining gangs?" That's a legit aspect of human behaviour, i guess.
Should we also rule out "drunks in downtown seedy streets at midnight?" What about "taxi drivers who want the extra night time fares?" Who do you rule out, and who do you not?
That's very interesting.
It's crucial to take into account the context and the particular factors that contribute to the statistics when comparing safety data between other nations. Additionally, it's critical to recognize that individual experiences and behaviors might differ greatly and statistics only provide a partial picture of the situation.
When discounting particular groups of people, it's crucial to take care not to stigmatize or victimize particular demographics. Instead, it's beneficial to concentrate on comprehending the precise danger elements that contribute to particular sorts of crime and violence and coming up with solutions to those factors.
For instance, it's crucial to comprehend the social, economic, and cultural aspects that lead to gang involvement in order to address the underlying problems if there are significant rates of gang activity in a given area. This could entail funding community development, education, and job training initiatives as well as stepping up law enforcement's efforts to deter and address gang-related crime.
Similar to this, it may be beneficial to concentrate on enhancing safety measures in those locations or times where violent crime is more likely to occur. For instance, better public transportation alternatives, more illumination, and increased police patrols in high-risk locations can all serve to lessen the possibility of violence.
In the end, it's critical to understand safety data in a nuanced and context-specific manner and to put everyone's safety and wellbeing first, regardless of their upbringing or behavior.
Chatgpt! How are you doing today?
You can see that recap pattern more than anything.
Yeah I noticed that too, it needs quite a bit of work, and most definitely still needs a human to go over it's output and fix it.
Yup, I'm using it for some projects and it is super cool, but part of what I'm demonstrating in my projects is the requirement for human skill to make it useful.
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@scottalanmiller said in Red Wine is good for you: Myth busted!:
This also flags ChatGPT because it misunderstood the topic.
Like this?
Interactive AI incorrectly describes Japan's Shiga gov. as 'Rurouni Kenshin' manga creatorOTSU -- Shiga Gov. Taizo Mikazuki is a "manga artist" known for the popular work "Rurouni Kenshin" -- or at least that's the mistaken description one artificial intelligence (AI) chatbot would have users believe.
When a Shiga Prefectural Government employee asked ChatGPT about Taizo Mikazuki it apparently explained that he was a "Japanese manga artist." Microsoft's Bing AI, meanwhile, correctly gave his job title as governor of Shiga Prefecture but provided an incorrect job history. The interactions serve as a reminder that chatbots may be providing a mixture of false information to users.
