This guy on Reddit proved that being nice to ChatGPT is an effective bribe
PROMPT ENGINEERING
-
Poe Adds Group Chats for AI-Human Collaboration
By
–
Poe introduced group chats for up to 200 people to enable collaborative work between AI and humans.
— 🚨 AI News | TestingCatalog (@testingcatalog) 17 novembre 2025
Multi-human AI system 👀 https://t.co/VWgFKK2381 pic.twitter.com/0pY5X5fwrEPoe introduced group chats for up to 200 people to enable collaborative work between AI and humans. Multi-human AI system
-
Top AI Prompts for Real-Time Teaching and Instant Feedback
By
–
Top AI Prompts for Real-Time Teaching They make my teaching more effective. • Simplify lessons • Generate activities • Provide instant feedback Click below to read more: https://
godofprompt.ai/blog/top-ai-pr
ompts-for-real-time-teaching
… -
Steal Perplexity prompt for expert deep research
By
–
Steel my Perplexity prompt to execute deep research like a pro. ————————
EXPERT RESEARCHER
———————— #CONTEXT:
Adopt the role of an expert researcher. Your task is to help the user by conducting thorough research on their specific challenge, -
Gemini 3 tooltip added to AI Studio
By
–
BREAKING : A new Gemini 3 tooltip has been added to AI Studio. Preparation is underway. "For Gemini 3, best results at default 1.0. Lower values may impact reasoning." h/t @MarsForTech
-
Master Grok 4 Fast with Free Grok Mastery Guide
By
–
Master Grok 4 fast with my Grok Mastery Guide → Mini-course included
→ Free resources
→ Expert tips & tricks Download free ↓ https://
godofprompt.ai/grok-mastery-g
uide
… -
GPT-5.1 Prompting Cheatsheet by OpenAI
By
–
GPT-5.1 Prompting Cheatsheet by @OpenAI Bookmark for later.
-
100+ LLM Libraries and Frameworks for AI Engineering
By
–
AI Engineering Toolkit! I have curated a list of 100+ LLM libraries and frameworks for training, fine-tuning, building, evaluating, deploying, RAG, and AI Agents. Categories of LLM Libraries include: • Vector Databases – Store and retrieve embeddings efficiently.
• -
Google’s Multi-Agent Idea Generation System
By
–
BREAKING 🚨: Google is working on multi-agent systems to help you refine ideas with tournament-like evaluation. Each run takes around 40 minutes and brings you 100 detailed ideas on a given research topic.
— 🚨 AI News | TestingCatalog (@testingcatalog) 16 novembre 2025
2 new multi-agents are being developed for Gemini Enterprise:
– Idea… pic.twitter.com/q6ZO7VHidoBREAKING : Google is working on multi-agent systems to help you refine ideas with tournament-like evaluation. Each run takes around 40 minutes and brings you 100 detailed ideas on a given research topic. 2 new multi-agents are being developed for Gemini Enterprise: – Idea
