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by ____tom____ 25 days ago
The oldest reference I know of to "Halt and Catch Fire" is shown here : https://www.facebook.com/larry.langerholc/photos/d41d8cd9/74...

1960s era. Humorous instructions for the IBM 360/69.

If the image link doesn't work, I've OCRed it:

IBM SYSTEM/360 MODEL 69 FEATURES AND DEVICES

Early Card Lace

1401 Incompatibility

407 Emulation

Chinese Character Set

Branch on Burned-Out Indicator

Branch on Blinking Indicator

Branch and Hang

Branch on Chip Box Full

Branch on Power Off

Branch on Sleepy Operator

Inquire and Ignore

Reverse Parity and Branch

Branch on Bug

Read While Write While Ripping Tape

Add Improper

Divide and Overflow

Subtract and Reset to Zero

Add and Reset to Zero

Scramble Program Status Word

Pack Alpha and Drop Zones

Pack Program Status Word

Punch Invalid

Rewind Card Reader

Backspace Card Reader

Read Print and Blush

Forms Skip and Run Away

Stacker Select Disk

Write Wrong-Length-Record

Write Noise Record

Seek Record and Scar Disk

Eject Disk

Rewind Disk

Backspace Disk

Punch Disk

Punch Operator

Execute Invalid Op Code

Read Card and Scramble Data

Select Stacker and Jam

Read Invalid

Rewind and Break Tape

Write Record and Run Away

Make Tape Invalid

Reverse Drum Immediate

Transfer and Lose Return

Print and Smear

Read Chads

Sharpen Light Pencil

Transfer and Drop Bits

Erase Card Punch

Read Inter-record Gap

Read Noise Record

Erase Read Only Storage

Destroy Storage Protect Key

Update and Erase Record

Move and Drop Bits

Circulate Memory

Move and Lose Record

Move and Wrap Core

Move Continuous

Execute No-Op and Hang

Develope Ineffective Address

Halt and Catch Fire

Scatter Print

Re-initialize Meter

Update Transaction

Reduce Thruput

Print and Break Chain

Lose Message and Branch

Burst Selector Channel

Invert Record and Branch

Illogical "or"

Illogical "and"

Bite Baudy Bit and Branch

Triple-Pack Decimal

Slip Disk

Stacker Upset

Uncouple CPU's and Branch

Scramble Channels

Edit:formatting.

1 comments

Modern OCR is amazing. That image is full of noise and ChatGPT did it without any errors that a I can see.

I compared it to another OCR of the same image, using http://ocr.space, and ChatGPT was correct in all the small number of differences, even preserving misspellings in the source.