https://bit.parts
Not saying good or bad; or am I?
Not saying good or bad; or am I?
24 hours later, I had bled two units into my stomach before I did a Wes Craven into the sink.
By the time I got to the ER, they said I had about 30 minutes before I was bled “in” enough to just slip away.
24 hours later, I had bled two units into my stomach before I did a Wes Craven into the sink.
By the time I got to the ER, they said I had about 30 minutes before I was bled “in” enough to just slip away.
An SCA member tried decades ago and was shut down by solid precedent.
Pity, really.
An SCA member tried decades ago and was shut down by solid precedent.
Pity, really.
“This document was written by a human with LLM assistance. It has been proofread thoroughly and I stand by its content.”
“This document was written by a human with LLM assistance. It has been proofread thoroughly and I stand by its content.”
I’ve done a LOT of learning on it.
I’ve done a LOT of learning on it.
Better living through chemistry.
Better living through chemistry.
As far as I can tell, nothing redacted is a bombshell, and much is in the clear elsewhere.
But now they have an excuse to halt the pipeline entirely while they “fix” the problem.
As far as I can tell, nothing redacted is a bombshell, and much is in the clear elsewhere.
But now they have an excuse to halt the pipeline entirely while they “fix” the problem.
As far as I can tell, nothing redacted is a bombshell, and much is in the clear elsewhere.
But now they have an excuse to halt the pipeline entirely while they “fix” the problem.
As far as I can tell, nothing redacted is a bombshell, and much is in the clear elsewhere.
But now they have an excuse to halt the pipeline entirely while they “fix” the problem.
Scan all documents. Evaluate text & font sizes & kerning. Compare redacted text where context suggests a name. Compare expected size of a name, first name, initials, full, or variant. Infer by context and size where a name meets the size requirements and is reinforced by context.
Scan all documents. Evaluate text & font sizes & kerning. Compare redacted text where context suggests a name. Compare expected size of a name, first name, initials, full, or variant. Infer by context and size where a name meets the size requirements and is reinforced by context.