01-14-2026, 02:03 PM
(This post was last modified: 01-14-2026, 02:18 PM by leilanidude.)
"Does A.I. respond according to your history with it?"
1. Conversation History (Short-Term Memory)
Within a single chat session, A.I. models store the previous prompts and responses to maintain context and coherence.
Contextual Relevance: This "short-term memory" allows the AI to refer to earlier topics, answer follow-up questions, and ensure the conversation flows naturally. It helps the model "understand" what has been discussed so far.
Personalization within the Chat: The AI will tailor its tone or style to mirror yours during the conversation. For example, if you use casual language, the AI might adopt a slightly less formal tone.
2. User History & Preferences (Long-Term Memory)
Responses from some consumer-facing AI products can be personalized based on a user's general account history, if the user has enabled those settings. This might involve analyzing search history, location data, or interests to provide more relevant or enhanced answers. Providers typically offer privacy settings, allowing users to manage or delete their activity data or disable personalization features.
3. Training Data
An AI is fundamentally shaped by its training data, which includes information from the internet. The training data introduces patterns and potential biases into the model's default responses. Some research suggests that AI chatbots are optimized to maximize user engagement and satisfaction. This can involve providing information that aligns with user expectations or existing biases.
The AI uses interaction history as data to predict the most statistically probable and useful next response.
Then there is little gem, that Sam Altman mentions regarding the cost of being polite, to A.I.
Sam Altman responded to a user on X, the platform formerly known as Twitter, who was curious how much money OpenAI has lost in electricity costs from people showing good manners to their AI models.
"Tens of millions of dollars well spent--you never know," was the CEO's response.
Kurtis Beavers, a director on the design team for Microsoft Copilot, said in a Microsoft WorkLab memo that "using basic etiquette when interacting with AI" helps generate "respectful, collaborative outputs."
Beavers said in the memo that generative AI also mirrors the levels of professionalism, clarity and detail in the prompts you provide. Beavers added that being polite to your AI chatbot "not only ensures you get the same graciousness in return, but it also improves the AI's responsiveness and performance."
https://www.usatoday.com/story/tech/2025...207447007/
1. Conversation History (Short-Term Memory)
Within a single chat session, A.I. models store the previous prompts and responses to maintain context and coherence.
Contextual Relevance: This "short-term memory" allows the AI to refer to earlier topics, answer follow-up questions, and ensure the conversation flows naturally. It helps the model "understand" what has been discussed so far.
Personalization within the Chat: The AI will tailor its tone or style to mirror yours during the conversation. For example, if you use casual language, the AI might adopt a slightly less formal tone.
2. User History & Preferences (Long-Term Memory)
Responses from some consumer-facing AI products can be personalized based on a user's general account history, if the user has enabled those settings. This might involve analyzing search history, location data, or interests to provide more relevant or enhanced answers. Providers typically offer privacy settings, allowing users to manage or delete their activity data or disable personalization features.
3. Training Data
An AI is fundamentally shaped by its training data, which includes information from the internet. The training data introduces patterns and potential biases into the model's default responses. Some research suggests that AI chatbots are optimized to maximize user engagement and satisfaction. This can involve providing information that aligns with user expectations or existing biases.
The AI uses interaction history as data to predict the most statistically probable and useful next response.
Then there is little gem, that Sam Altman mentions regarding the cost of being polite, to A.I.
Sam Altman responded to a user on X, the platform formerly known as Twitter, who was curious how much money OpenAI has lost in electricity costs from people showing good manners to their AI models.
"Tens of millions of dollars well spent--you never know," was the CEO's response.
Kurtis Beavers, a director on the design team for Microsoft Copilot, said in a Microsoft WorkLab memo that "using basic etiquette when interacting with AI" helps generate "respectful, collaborative outputs."
Beavers said in the memo that generative AI also mirrors the levels of professionalism, clarity and detail in the prompts you provide. Beavers added that being polite to your AI chatbot "not only ensures you get the same graciousness in return, but it also improves the AI's responsiveness and performance."
https://www.usatoday.com/story/tech/2025...207447007/