LLMS - AI Dynamics

Improving AI Reasoning Through Self-Critique Techniques

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18 December 2025 9h58

I've tested this on coding problems, business strategy, research analysis anywhere logic matters.

The self-critique consistently surfaces issues that would've caused failures downstream. It's like having a second expert review your work, except it's the same model thinking… pic.twitter.com/j4bO57iqSk
— God of Prompt (@godofprompt) 18 décembre 2025

I've tested this on coding problems, business strategy, research analysis anywhere logic matters. The self-critique consistently surfaces issues that would've caused failures downstream. It's like having a second expert review your work, except it's the same model thinking

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18 December 2025

Optimizing Prompt Structure for Model Performance

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@godofprompt

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18 December 2025 9h58

Listen, most people waste the technique by using it wrong. They ask for criticism but accept vague pushback. "This might not work in all cases" tells you nothing useful. You need the model to be brutally specific about what fails and why. The prompt structure matters: "Identify

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18 December 2025

A Simple Prompt Engineering Technique for Improving AI Reasoning

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@godofprompt

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18 December 2025 9h58

The technique is absurdly simple but nobody's talking about it. After the AI generates its initial response, you immediately hit it with: "Now argue against everything you just said. Find the weakest points in your logic." That's it. No complex prompt engineering. No

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18 December 2025

Analyzing the limitations of LLM reasoning and self-correction

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@godofprompt

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18 December 2025 9h58

Here's what actually happens when you ask ChatGPT a complex question.
The model generates an answer. Sounds confident. Ships it to you. Done. But here's the problem: that first answer is almost always incomplete. The model doesn't naturally challenge its own logic. It doesn't

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18 December 2025

Google DeepMind Researchers Detail Role Reversal Prompting Technique

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@godofprompt

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18 December 2025 9h58

Google DeepMind researchers just exposed a prompting technique that destroys everything you thought you knew about AI reasoning. It's called "role reversal" and it boosts logical accuracy by 40%. Here's the technique they don't want you to know:

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18 December 2025

Elastic Reasoning: Cognitive-Inspired Approach for Large Language Models

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@jiqizhixin

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18 December 2025 7h46

Beyond Fast and Slow: Cognitive-Inspired Elastic Reasoning for Large Language Models Paper: https://
arxiv.org/abs/2512.15089

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18 December 2025

CogER: LLM Framework Choosing Dynamic Reasoning Paths

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@jiqizhixin

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18 December 2025 7h46

What if an LLM could choose its own reasoning path for each question? Enter CogER, a new framework inspired by human problem-solving. It acts like a smart dispatcher, first judging a query's difficulty, then dynamically picking the best reasoning strategy—from fast, internal

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18 December 2025

Gemini 3 Flash powers fast accurate web search on Perplexity

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@aravsrinivas

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18 December 2025 5h24

Fast and highly accurate web search with Gemini 3 Flash now on Perplexity

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18 December 2025

Echo-N1: AI Learns Human Conversation Through Affective Reinforcement Learning

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@jiqizhixin

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18 December 2025 2h31

What if AI could learn the art of conversation like a human? This research challenges a year of focusing RL on logic, showing it’s possible to optimize AI for personality and emotional depth—and the results outperform leading models. Echo-N1: Affective RL Frontier Paper:

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18 December 2025