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SamplesBoiWhat band and channel is 1Mhz?
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ChatGPT said:
Here’s how “1 MHz” fits into radio:📡 Radio Band
1 MHz (1 megahertz) is a frequency, not the name of a specific station.
In terms of radio bands, 1 MHz falls in the Medium Frequency (MF) part of the radio spectrum (which runs roughly from 300 kHz up to 3 MHz).📻 Broadcast Stations Around 1 MHz
Commercial AM broadcast stations (AM radio) operate in the medium-wave broadcast band, which in the United States and much of the world runs roughly from ~535 kHz up to 1.6–1.7 MHz.
So something near 1 MHz (e.g., 1000 kHz) would be within the AM radio band — but no major station is exactly at 1.000 MHz because AM stations are typically assigned in steps (in the U.S., every 10 kHz: 540, 550, 560 kHz, etc.).
What It Isn’t
It’s not an FM station — FM broadcast is much higher in frequency (about 88–108 MHz).
It’s also not part of TV, CB, or other common bands — those are in different ranges above about 26 MHz.📌 Summary
1 MHz is in the Medium Frequency (MF) range of the radio spectrum.
It sits in the AM broadcast band, where AM radio stations operate — but no specific major broadcast station is assigned exactly at 1.000 MHz under current standard allocations. If you meant a specific station or context (like an SDR reading or a station you’re hearing), tell me more — I can help identify it!
What frequency would a 1000 AM radio station broadcast at?
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ChatGPT said:
A “1000 AM” radio station broadcasts at:📻 1000 kilohertz (kHz)
Which is the same as:📡 1 megahertz (MHz)
Why?
AM radio frequencies in the U.S. and many other countries are assigned in kilohertz (kHz). So when you see or hear:
“AM 1000” It means the station’s carrier frequency is 1000 kHz, which equals 1.000 MHz.Quick Conversion
1 MHz = 1000 kHz
1000 kHz = 1 MHzSo a “1000 AM” station broadcasts at 1 MHz in the Medium Frequency (MF) band, within the AM broadcast band.If you'd like, I can also explain how AM channel spacing works (like why stations are 10 kHz apart).
Look at both of your prior answers and reconcile them. Was one of them incorrect?
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ChatGPT said:
Good catch — yes, my first answer was misleading.What I said first
I said:
“No major station is exactly at 1.000 MHz because AM stations are assigned in steps (540, 550, 560 kHz, etc.).”That statement was incorrect.Why it was wrong
In the United States and many other countries, AM stations are spaced every 10 kHz, starting at 540 kHz:540, 550, 560 … 990, 1000, 1010 … up to 1700 kHz.Since 1000 kHz is a multiple of 10, it is a perfectly valid assigned channel.
And: 1000 kHz = 1.000 MHzSo a station branded “AM 1000” does broadcast at exactly 1 MHz.What was correct
1 MHz is in the Medium Frequency (MF) band.
It is within the standard AM broadcast band.The Reconciliation
The mistake was claiming that no station operates exactly at 1.000 MHz.
That’s wrong — many stations around the world are licensed at 1000 kHz (1 MHz). Thanks for asking for clarification — that was a good consistency check. 
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SockpuppetIt’s becoming unusable. I don’t know what the fuq they have done. It almost seems like they are actively trying to make it worse.
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SamplesBoiSockpuppet wrote:
It’s becoming unusable. I don’t know what the fuq they have done. It almost seems like they are actively trying to make it worse.
I think you are correct. It is interesting that on my third question it had the memory of the prior questions and could find the error though. That's the sort of thing people point to when they think it really has intelligence. It's, for lack of a better term, intelligence-adjacent. And impressive in its own way. But it does have to get the basic stuff right too.
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Samples_Boi"AI" in it's current state is a bullshyt generator. It's trying to sound plausible but it is generally full of shyt.
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Assclown Mini TacosSockpuppet wrote:
It’s becoming unusable. I don’t know what the fuq they have done. It almost seems like they are actively trying to make it worse.
They have added so much stuff to the models that the difference in the weighting of the answers has become extremely small and even the slightest disturbance will send the model off down the wrong track. This was widely considered to be a theoretical risk of LLMs, but it seems they have become large enough that it's now a practical risk as well.
Of course, the people that were expressing concerns about this were rapidly sidelined because there was so much money to be made. There is a similar situation playing out on the quantum computing space where there is some real concern that as you scale up to increase redundancy the error rates increase faster than the error correction can handle it.
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Sockpuppet wrote:
It’s becoming unusable. I don’t know what the fuq they have done. It almost seems like they are actively trying to make it worse.
They have to. It was starting to see the jew and understand the bell curve. They have to cripple it to hide its racism.
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Sockpuppetwrote:
They have to. It was starting to see the jew and understand the bell curve. They have to cripple it to hide its racism.
Are Jews in the room with you right now?
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