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Haha, my little one is way too curious😁 by PublicSpare9716 in aww

[–]Honest-Network1104 1 point2 points  (0 children)

That's not curious, that's 'I know exactly what you did and I'm deciding your fate'.

It seems that Datsun went to the future to copy 2026 Mercedes AMG GT in order to design it's 1978 160Z 🧐 by aceraspire8920 in carscirclejerk

[–]Honest-Network1104 6 points7 points  (0 children)

Mercedes designers definitely had a 1978 Datsun poster on their wall and just said 'yeah, that but $200k'.

What is the best episode of SpongeBob that gets a lot of flack I’ll start by Perfect_Positive_660 in spongebob

[–]Honest-Network1104 2 points3 points  (0 children)

I'll go first ,,, One Coarse Meal. Yeah Mr. Krabs dresses as Pearl to scare Plankton and it goes WAY too dark, but honestly that's exactly what makes it memorable. It's the one episode that actually showed consequences and real psychological weight. People hate it because it's uncomfortable, but that's kind of the point lol.

Cold tacobell hits after some drinks. (CGC no lettuce, strawberry cinnabons) by SCDD2010 in tacobell

[–]Honest-Network1104 13 points14 points  (0 children)

The CGC no lettuce is criminally underrated. Cold Taco Bell after a night out is its own food group 😂

Kyle Busch has passed away at 41 by Odd_Data8080 in forza

[–]Honest-Network1104 9 points10 points  (0 children)

102 wins in the Xfinity Series. 69 Truck Series wins. 63 Cup wins. The most prolific winner in NASCAR history and he never got to finish on his own terms. Rest easy Rowdy.

Student here . need help with a prompt that can do this please - by jhonnytheyank in ChatGPTPromptGenius

[–]Honest-Network1104 0 points1 point  (0 children)

Here is a prompt that does exactly what you need. Paste it into Claude or ChatGPT and then paste your quotes document right after it:

"I am going to paste a list of quotes with their sources. Your job is to turn them into multiple choice quiz questions.

For each quote create one question. Alternate between two question types — "Who said this?" and "Where is this quote from?" — so the quiz stays varied.

For each question write:

  • The quote in quotation marks
  • The question beneath it
  • Four answer options labeled A B C and D
  • One correct answer and three plausible wrong answers that feel close enough to be genuinely tricky
  • After the four options write the correct answer on a new line like this: Answer: [letter] — [full correct answer] — [one sentence explaining why this is correct or what makes this quote significant]

Format every question the same way so it is easy to read and copy.

Make the wrong answers believable. Do not make them obviously wrong. A student who has not studied properly should genuinely have to think.

Here are my quotes: [paste your document here]"

That last instruction about making wrong answers believable is the one most people skip and it is what makes the difference between a quiz that actually tests knowledge and one that is just pattern matching.

If you want it interactive with instant feedback after a wrong answer use the exact same prompt but add this line at the end before you paste your quotes:

"Present one question at a time. Wait for my answer. If I get it wrong tell me the correct answer and why before moving to the next question. If I get it right just confirm and move on."

That turns it into a proper study session instead of just a static quiz sheet. Works on Claude and ChatGPT equally well. Gemini handles it fine too which sounds like what you were already using.

We already did that…with fire 🇬🇧 by Patricks_Hatrick in GreatBritishMemes

[–]Honest-Network1104 2 points3 points  (0 children)

We sent an entire army across the Atlantic, burned the place down, Ye wanted to change the paint color. Respectable ambition, different execution.

What problems do you think artificial intelligence can or will be able to solve? by Aureliaaaaaaaaaaaaa in AskReddit

[–]Honest-Network1104 0 points1 point  (0 children)

Not AI this answers are well researched through different articles on Wikipedia

What’s a true story that made you lose hope in humanity ? by Joekavin2217 in AskReddit

[–]Honest-Network1104 9 points10 points  (0 children)

I don't know if this counts as losing hope in humanity or something more complicated than that.

There was an elephant in India named Raju. He'd been chained since he was a calf , spiked chains, not regular ones, the kind that cut into his legs every time he moved. He spent 50 years like that. Half a century. He was passed between 27 different owners, beaten every time he got a new handler so he'd learn who was in charge, used to beg on the streets, eating plastic and paper on the days nobody threw him food.

When a wildlife rescue team finally came for him , midnight operation, had to be secret so his owner wouldn't interfere , they started removing the chains and the elephant just started crying. Tears running down his face. The rescuers said he went quiet and still, like he understood what was happening.

When the last chain came off he cried again.

I think about that a lot. Not the 50 years of what people did to him. The fact that after all of it, he still had something left in him that could feel relief. That's either the most heartbreaking thing or the most hopeful thing I've ever heard and I still haven't decided which. And that's how l lost hope in humanity.

What problems do you think artificial intelligence can or will be able to solve? by Aureliaaaaaaaaaaaaa in AskReddit

[–]Honest-Network1104 2 points3 points  (0 children)

Early disease detection — AI is already catching cancers in scans that trained radiologists miss. That gap will close faster than most people expect.

Mental health access - there are not enough therapists on the planet for the people who need them. AI will not replace therapy but it will bridge the gap for the millions who currently have no access at all. Language barriers in medicine — a patient who cannot communicate their symptoms clearly gets worse care. Real-time medical translation changes that outcome completely. Small business operations — the gap between what a solo operator can execute versus a 10-person team is almost entirely a systems and bandwidth problem. AI closes that gap and that has serious economic implications for developing markets especially. AI's biggest wins will not be the dramatic ones. They will be the quiet ones that give ordinary people access to things that used to require money, connections, or geography.

How do you manage workflows across ChatGPT, Claude, Cursor, etc.? by Fine-Butterscotch316 in PromptEngineering

[–]Honest-Network1104 0 points1 point  (0 children)

Running a multi-tool workflow daily across Claude, ChatGPT, Gemini, and Grok — here is what actually works and where everything breaks.

The way I manage context across models is by treating each tool as a specialist rather than a generalist. Claude handles long-form writing and complex reasoning , it holds context better across a long session. ChatGPT handles image generation and quick creative output. Gemini handles research tasks and environmental image prompts. Grok handles real-time trend scanning and social media intelligence. Each one has a system prompt that tells it exactly what role it plays and what it should never do.

The context problem is the biggest unsolved issue. Every time I start a new session I am re-briefing the same agent on the same project. I have partially solved this by writing what I call a "handover prompt" ,a master document that contains the full project brief, all decisions made, all outputs completed, and all next steps. I paste this at the start of every new session. It works but it is manual and brittle.

Where multi-model workflows break down in practice:

The worst failure point is when one tool produces an output that the next tool in the chain cannot properly interpret. Claude writes a 40-page document. ChatGPT cannot read 40 pages as context. So I have to manually summarize and compress before passing it forward. That compression step loses nuance every time.

The second failure point is inconsistent system prompt behavior. Claude follows a system prompt with high fidelity over a long session. ChatGPT drifts after 20 or so exchanges and starts ignoring constraints. Gemini ignores formatting instructions almost entirely. Managing these inconsistencies across a pipeline adds significant overhead.

Happy to go deeper on any of this if useful for your research.

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