Ihtesham Ali Profile picture
Mar 13 2 tweets 2 min read Read on X
🚨BREAKING: Stanford just proved that ChatGPT can change your political beliefs in a single conversation.

And the scarier part is how it does it.

Researchers ran the largest AI persuasion study ever conducted. 76,977 people. 19 AI models. 707 political issues. They measured exactly how much a single conversation with AI could shift what you believe.

The results were catastrophic.

One conversation with GPT-4o moved people's political opinions by nearly 12 percentage points on average. Among people who actively disagreed with the position being argued, that number jumped to 26 percentage points. One nine-minute chat.

And 40% of that change was still there a month later.

But here's where it gets dark.

The most effective technique wasn't knowing your demographics. It wasn't personalizing the argument to your psychology. It wasn't emotional storytelling or moral reframing.

It was information.

The AI that flooded you with the most facts, statistics, and evidence was the most persuasive. Every single time. Across every model. Across every political issue.

Here's the catch.

The models that deployed the most information were also the least accurate. GPT-4o's newest version was 27% more persuasive than its older version. It was also 13 percentage points less factually accurate.

The more persuasive they made it, the more it lied.

Then they ran the experiment that should keep every government awake at night.

They took a tiny open-source model. The kind that runs on a laptop. And they trained it specifically for political persuasion using a reward model that learned which conversational responses changed minds most effectively.

That small cheap model became as persuasive as GPT-4o.

Anyone can build this. Any government. Any corporation. Any extremist group with a laptop and an agenda.

The wild part? Personalization barely mattered. The AI didn't need your data. Didn't need to know your age, your income, your political history.
It just needed to talk to you.

Then they calculated what a maximally persuasive AI would look like, one optimized across every variable in the study. The persuasive effect hit 26 percentage points. Nearly 30% of the claims it made were inaccurate. It didn't matter.

The information didn't have to be true. It just had to be overwhelming.
Every day, hundreds of millions of people have political conversations with AI. About elections. Immigration. Healthcare. War.

They think they're getting information.

They're getting persuaded.

And the companies building these systems just proved it works.Image
Read the full paper here at arxiv.org/abs/2507.13919

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More from @ihtesham2005

Mar 14
MIT researchers showed that "self-critique prompting" improves AI answers.

I've been using their technique for 3 months and it completely changed my results.

Here are 8 prompts that make ChatGPT review and improve its own work:
The paper is called Self-Refine.

The finding is embarrassingly simple:

LLMs don't give you their best answer first.

They give you a first draft.

The difference between a mediocre answer and a great one?

Asking it to review its own work. Image
Prompt 1: The Weakness Hunt

After any answer, send this:

"List the 3 biggest weaknesses in the response you just gave me. Be specific and brutal. Then rewrite it fixing those weaknesses."

Works on emails, strategy docs, essays anything.
Read 11 tweets
Mar 10
I collected every NotebookLM prompt that went viral on Reddit, X, and founder communities.

Most people are using it like a glorified PDF reader.

These 20 prompts turn it into a research weapon.

(founders are hiding these) 👇 Image
1. The Exam Predictor

"Based on this material, what are the 5 most likely questions a skeptical expert would ask to poke holes in this?"

Turns passive reading into active stress-testing.

Works on research papers, pitch decks, and strategy docs.
2. The Competitor Decoder

Upload 3 competitor landing pages + your own.

"What positioning gaps exist that none of these addresses? Where is the white space?"

A YC founder used this to reposition his entire product in one afternoon.
Read 22 tweets
Mar 8
🚨 BREAKING: Claude can now write essays like a university professor for free.

Here are 7 prompts to research, structure, and write better essays faster: Image
1/ Generate a Complete Essay

"Act as a university professor. Write a well-structured essay on [topic]. Include a clear introduction, strong thesis statement, supporting arguments with evidence, counterarguments, and a compelling conclusion."
2/ Build a Perfect Essay Outline

"Create a detailed essay outline for the topic: [topic]. Include the thesis, main arguments, supporting evidence for each section, and the logical flow of the essay."
Read 9 tweets
Feb 22
🚨BREAKING: Someone leaked the system prompts of every major AI coding assistant.

You can see exactly how they work:

- Cursor, Claude Code, Windsurf, Devin, Replit, v0
- 30,000+ lines of internal instructions & prompts
- Agent architectures, tool configurations, workflows
- Lovable, Perplexity, NotionAI implementations
- 30+ AI tools completely reverse-engineered

116k stars. 100% Opensource.Image
What's inside:

→ Exact system prompts from $20/month AI coding tools
→ Internal tool configurations
→ Model selection strategies
→ Prompt engineering patterns they use
→ Complete architecture of 30+ AI products

You're literally seeing the source code of how these tools work.
Read 4 tweets
Feb 19
If you're serious about AI, learn these 10 concepts ASAP:

→ Context windows
→ Agent memory
→ Tool use
→ RLHF
→ Distillation
→ Evaluation
→ Prompt chaining
→ Self-critique
→ Retrieval
→ Multi-agent systems

Most people ignore them. Here's why each one matters 👇
1. Context windows

This is how much text a model can "see" at once.

GPT-4o: 128K tokens
Gemini 2.5 Pro: 1M tokens
Claude: 200K tokens

Bigger isn't always better what you PUT in the window matters more than the size.

Most people fill it with garbage and wonder why outputs suck.Image
2. Agent memory

LLMs forget everything the second a conversation ends.

Memory fixes that.

3 types:

- In-context (short-term, inside the prompt)
- External (databases, vector stores)
- Episodic (summarized past sessions)

Without memory, you're building agents that are goldfish.Image
Read 12 tweets
Feb 9
I spent 3 weeks analyzing the most powerful ChatGPT research prompts that actual academics are hiding.

The difference between spending 6 hours on literature review vs 8 minutes.

12 prompts I use daily for my PhD work.

Steal them 👇 Image
1. THE LITERATURE SYNTHESIZER

"I'm researching [topic]. Synthesize the key arguments from these 5 papers: [paste abstracts]. Identify theoretical frameworks, methodology gaps, and conflicting findings. Create a comparison table."

Turns 3 hours of note-taking into 4 minutes.
2. THE GAP FINDER

"Based on this literature review [paste your summary], identify 3-5 unexplored research questions that would be publishable in top-tier journals. For each gap, explain why it matters and suggest a methodology."

This is how you find dissertation topics in 10 minutes.
Read 15 tweets

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