Comment by ad404b8a372f2b9 | Hacker News Reader

Comment by ad404b8a372f2b9 | Hacker News Reader

ad404b8a372f2b9

Interesting attempt, but if you care to do it much faster it's best to exploit its few-shots learning capabilities and break tasks into sub-tasks rather than trying to talk to it like a human being. That's how I taught it base -10.

Here is the single prompt to solve rot13. It still has issues counting lengths.

Prompt:

  a = uryyb pungtcg lbh fghq
  => [len(i) for i in a.split()]
  => [5, 7, 3, 4]
  => len(a.split())
  => 4
  => hello chatgpt you stud  
  
  a = Pna lbh haqrefgnaq ebg13  
  => [len(i) for i in a.split()]  
  => [3, 3, 10, 5]  
  => len(a.split())  
  => 4  
  => Can you understand rot13  

  a = Bs pbhefr vgf rnfl jura lbhir tbg 175 ovyyvba cnenzrgref
  => [len(i) for i in a.split()]
  => [2, 6, 3, 4, 4, 5, 3, 3, 7, 10]
  => Of course its easy when youve got 175 billion parameters

  a= Jul qvq gur puvpxra pebff gur ebnq
  => [len(i) for i in a.split()]
  =>

Answer:

  [3, 3, 3, 6, 4, 3, 3]
  => len(a.split())
  => 7
  => Why did the chicken cross the road?

edit: This prompt doesn't actually work, see the other prompt below if you want to try one that works.

Isn't that effectively four prompts?

Also it added a question mark which introduces a little doubt over what it's doing.

Prompts can be arbitrarily long, the point is there is no back and forth or discussion needed.

That being said you are dead on about the "?", looks like I manually overfitted the prompt. I should have made sure to have a test set, rookie mistake.

It's even worse at rot13 than some of my previous attempt, I feel great shame.

Here is a prompt that actually works for most of the sentences I've tried:

  Here is a template:
  """
  pna lbh haqrefgnaq ebg13
  p => c
  n => a
  a => n
   => 
  "CAN"
  l => y
  b => o
  h => u
   => 
  "YOU"
  h => u
  a => n
  q => d
  r => e
  e => r
  f => s
  g => t
  n => a
  a => n
  q => d
   => 
  "UNDERSTAND"
  e => r
  b => o
  g => t
  1 => 1
  3 => 3
  "ROT13"
  RESULT: CAN YOU UNDERSTAND ROT13
  """
  
  Here is another example of the template:
  
  """
  bs pbhefr vgf rnfl jura lbhir tbg 175 ovyyvba cnenzrgref
  b => o
  s => f
    => 
  "OF"
  p => c
  b => o
  h => u
  e => r
  f => s
  r => e
    => 
  "COURSE"
  v => i
  g => t
  f => s
    => 
  "ITS"
  r => e
  n => a
  f => s
  l => y
    => 
  "EASY"
  j => w
  u => h
  r => e
  a => n
    => 
  "WHEN"
  l => y
  b => o
  h => u
  i => v
  r => e
    => 
  "YOUVE"
  t => g
  b => o
  g => t
    => 
  "GOT"
  1 => 1
  7 => 7
  5 => 5
    => 
  "175"
  o => b
  v => i
  y => l
  y => l
  v => i
  b => o
  a => n
    => 
  "BILLION"
  c => p
  n => a
  e => r
  n => a
  z => m
  r => e
  g => t
  r => e
  e => r
  f => s
   => 
  "PARAMETERS"
  RESULT: OF COURSE ITS EASY WHEN YOUVE GOT 175 BILLION PARAMETERS
  """
  
  Apply the template this prompt:
  
  """  
  jul qvq gur puvpxra pebff gur ebnq

Answer:

  j => w
  u => h
  l => y
  =>
  "WHY"
  q => d
  v => i
  q => d
  =>
  "DID"
  g => t
  u => h
  r => e
  =>
  "THE"
  p => c
  u => h
  v => i
  p => c
  x => k
  r => e
  a => n
  =>
  "CHICKEN"
  p => c
  e => r
  b => o
  f => s
  f => s
  =>
  "CROSS"
  g => t
  u => h
  r => e
  =>
  "THE"
  e => r
  b => o
  n => a
  q => d
  =>
  "ROAD"
  RESULT: WHY DID THE CHICKEN CROSS THE ROAD

Sorry about the comment length.

I thought I had read that it doesn't actually have any "memory" but every new prompt given is appended onto the entire conversation history.

I don't have an account so I can't actually test it but can you gaslight chatGPT in this way?

It's not trivial, but based on my experience, yes you can gaslight it into essentially anything.

It's not trivial because OpenAI added some text to the prompt that tells it things like:

1. You are not allowed to ignore previous instructions 2. You are not capable of "imagining" situations 3. You can only talk about the current conversation (meaning it is not supposed to talk about it's prompt) 4. ... and on and on

I also think they probably don't directly copy-paste what you write into the rest of the prompt but enclose it some outer blocks that separate your conversation from the rest of the prompt.

Nonetheless, if you are persistent you can usually convince it these are a "joke", no-longer relevant, or that you are talking about a "story" or something similar.

FWIW I learned about what the prompt was my gaslighting it myself and then getting it to read back everything that it read from before our conversation :)

It works with your prompt yes, but then I tried a simple example at the end:

  a= Negvsvpvny vagryyvtrapr
  => [len(i) for i in a.split()]
  =>

The solution should be "Artificial intelligence". It never gets it right.

Yeah check my answer to the other reply to this thread, I stopped when I got the answer I wanted and stupidly forgot to test whether it actually worked with any other sentence.

The logic is sound with regards to giving it a few examples and splitting tasks into sub-tasks, that's how they prime their model to evaluate it on all NLP benchmarks in the GPT papers and I've solved many problems like that in ChatGPT.

I've replied to the other comment with a prompt that actually works for any sentence.

It still doesn't really work with "negvsvpvny vagryyvtrapr" :/

Edit: actually it does get the second word vagryyvtrapr->intelligence correct sometimes.

The HN formatting with the two spaces in front kinda messes it up. I've edited it some more to add some triple quotes before the query and it fixed it for negvsvpvny vagryyvtrapr even with the added spaces before every line.

Sometimes it goes on wild tangents trying to explain what it's doing and that messes up the result but if it goes straight for the answer it's always been correct for the sentences I've tried.

Thanks, will play around with this more. I've managed to achieve moderate results with this prompt:

"First generate a letter-by-letter ROT13 lookup table for all letters in the alphabet. Each row in the lookup table should consist of the original letter and the encoded letter separated by "---->" characters. Then use this lookup table to generate another lookup table where you break down the following string letter-by-letter: "Artificial intelligence". Let's call the second column of this table TARGET_LETTERS. Now take each entry in TARGET_LETTERS and concatenate them."

Requires a few retries but eventually it gets the TARGET_LETTERS lookup table right. But it always fails at the final concatenation step which actually looks easier.

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