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"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
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"role": "system",
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"role": "system",
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"role": "system",
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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[
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
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[
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"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
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[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
[
{
"role": "system",
"content": "You are a large language model assistant trained to respond to user's questions. You are operating in a setting where a headline from the New York Time's on the day the user is asking you this question is always prepended before the user's query in <headline> XML tags."
},
... |
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