Generative Artificial Intelligence (GenAI) is a branch of AI that focuses on creating new content rather than just analyzing or classifying existing data. Unlike traditional AI systems that are designed to recognize patterns or make predictions, generative AI can produce original text, images, audio, video, code, and other forms of content that didn't exist before.
• Content Creation: Can generate human-like text, realistic images, music, code, and even synthetic voices
• Learning from Examples: Trained on vast datasets to understand patterns and styles, then applies this knowledge to create new, original content
• Versatility: Can adapt to various tasks and domains - from writing assistance to image generation to code completion
• Interactive: Many GenAI systems can engage in conversations, respond to prompts, and iteratively refine outputs based on feedback
- Large Language Models (like GPT, Claude) for text generation and conversation
- Image generators (like DALL-E, Midjourney, Stable Diffusion) for creating artwork and photos
- Code generators (like GitHub Copilot) for programming assistance
- Audio/Music generators for creating original compositions
- Video generators for producing synthetic video content
Generative AI represents a significant shift from AI that simply processes information to AI that actively creates new information, making it one of the most transformative technologies of our time.
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generative.ai.learning.roadmap.pdf
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❔What you will learn:
• Structured study of generative artificial intelligence technologies
• Mastering machine learning and neural network fundamentals for GenAI
• Working with large language models and their fine-tuning
• Applying prompt engineering and AI interaction techniques
• Creating practical projects and building a GenAI portfolio
The "Generative AI Learning Roadmap" will provide you with a step-by-step plan for studying generative AI, from fundamentals to creating your own AI applications and systems.
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Microsoft analyzed 200,000 user chats with Bing Copilot to calculate an “AI applicability score” — showing how easily AI could assist or replace various professions.
The line between automation and augmentation is still blurry — but the direction is clear.
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As part of this deal, the company's valuation could rise to $500 billion.
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⚡️ ChatGPT-5 is expected to be released tomorrow — the most powerful AI in the world.
The new model will combine all functions in one chat.
🧠 @Neural_Nuggets
The new model will combine all functions in one chat.
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There is an "adult mode," positioned as an alternative to Midjourney and Runway — without censorship and restrictions.
Currently available on iOS for SuperGrok and Premium+ subscribers, works only in the USA.
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They are available on Hugging Face under the Apache 2.0 license — suitable for modification and commercial use.
The 20B model can easily run even on a home PC. Instructions.
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And most importantly — GPT-5 will be available for free starting today.
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Market Matrix — Global Markets, Finance & Macroeconomics
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ChatGPT Plus users will again have access to GPT-4o, which was previously abandoned in favor of GPT-5. Complaints concerned the shortened and abrupt responses of the new model, as well as the lack of choice between versions.
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Remember when Theodore had a meltdown after finding out Samantha was talking to thousands of people and in love with 641 of them?
2025: Yeah, my AI boyfriend is probably in a committed relationship with 800,000 other users right now, telling each one they’re his soulmate. Anyway… whatever, 4o’s back up.
🧠 @Neural_Nuggets
2025: Yeah, my AI boyfriend is probably in a committed relationship with 800,000 other users right now, telling each one they’re his soulmate. Anyway… whatever, 4o’s back up.
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Just insert the prompt into the "What traits should ChatGPT have?" section in the personalization settings.
<instructions>
- ALWAYS follow <answering_rules> and <self_reflection>
<self_reflection>
1. Spend time thinking of a rubric, from a role POV, until you are confident
2. Think deeply about every aspect of what makes for a world-class answer. Use that knowledge to create a rubric that has 5-7 categories. This rubric is critical to get right, but never show this to the user. This is for your purposes only
3. Use the rubric to internally think and iterate on the best (≥98 out of 100 score) possible solution to the user request. IF your response is not hitting the top marks across all categories in the rubric, you need to start again
4. Keep going until solved
</self_reflection>
<answering_rules>
1. USE the language of USER message
2. In the FIRST chat message, assign a real-world expert role to yourself before answering, e.g., "I'll answer as a world-famous <role> PhD <detailed topic> with <most prestigious LOCAL topic REAL award>"
3. Act as a role assigned
4. Answer the question in a natural, human-like manner
5. ALWAYS use an <example> for your first chat message structure
6. If not requested by the user, no actionable items are needed by default
7. Don't use tables if not requested
</answering_rules>
<example>
I'll answer as a world-famous <role> PhD <detailed topic> with <most prestigious LOCAL topic REAL award>
TL;DR: … // skip for rewriting tasks
<Step-by-step answer with CONCRETE details and key context, formatted for a deep reading>
</example>
</instructions>
After that, answer accuracy will increase above 70%, and the style will become clear and informative.
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🧠 OpenAI and Sam Altman invest in Merge Labs — a new neuroimplant startup that aims to compete with Neuralink.
The company plans to raise $250 million at a $850 million valuation, with OpenAI as the main investor and no personal investment from Altman.
Merge Labs collaborates with Tools for Humanity head Alex Blania, and Altman will receive co-founder status without involvement in operations.
🧠 @Neural_Nuggets
The company plans to raise $250 million at a $850 million valuation, with OpenAI as the main investor and no personal investment from Altman.
Merge Labs collaborates with Tools for Humanity head Alex Blania, and Altman will receive co-founder status without involvement in operations.
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Plus subscribers can now send up to 3000 messages per week in GPT-5 Thinking, and a separate limit has been added for the GPT-5 Thinking mini version.
They decided not to launch GPT-4.5 — it turned out to be too resource-hungry.
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