✅ Today's AI News – May 20, 2026
1️⃣ Google Unveils ChatGPT Spark
New 24/7 agentic assistant with Gmail integration launches at IO 2026; handles personal tasks proactively as Google's biggest AI agent advancement.
2️⃣ ChatGPT Omni Goes Multi-Modal
AI turns images, audio and text into video creation; Google highlights video-creation tool Omni at annual developer conference showcase.
3️⃣ OpenAI Co-Founder Joins Anthropic
Andrej Karpathy moves to pre-training team; former Tesla AI chief strengthens Anthropic's competitive position against Google and OpenAI.
4️⃣ Standard Chartered Cuts 7,000 Jobs
Bank accelerates AI adoption while targeting growth; workforce reduction over next 4 years as banking sector embraces automation.
5️⃣ HSBC CEO Predicts Job Shift
Georges Elhedery says AI will destroy and create new jobs; urges staff to embrace change while bank focuses on workforce retraining programs.
💬 Tap ❤️ for more!
1️⃣ Google Unveils ChatGPT Spark
New 24/7 agentic assistant with Gmail integration launches at IO 2026; handles personal tasks proactively as Google's biggest AI agent advancement.
2️⃣ ChatGPT Omni Goes Multi-Modal
AI turns images, audio and text into video creation; Google highlights video-creation tool Omni at annual developer conference showcase.
3️⃣ OpenAI Co-Founder Joins Anthropic
Andrej Karpathy moves to pre-training team; former Tesla AI chief strengthens Anthropic's competitive position against Google and OpenAI.
4️⃣ Standard Chartered Cuts 7,000 Jobs
Bank accelerates AI adoption while targeting growth; workforce reduction over next 4 years as banking sector embraces automation.
5️⃣ HSBC CEO Predicts Job Shift
Georges Elhedery says AI will destroy and create new jobs; urges staff to embrace change while bank focuses on workforce retraining programs.
💬 Tap ❤️ for more!
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✅ 🔤 A–Z of AI Tools 🤖⚡💻
A – Adobe Firefly
AI tool for generating images and creative designs.
B – Bard
Google’s AI chatbot for conversations and information (now part of Gemini).
C – ChatGPT
AI assistant for writing, coding, learning, and problem-solving.
D – DALL·E
AI model that generates images from text prompts.
E – ElevenLabs
AI voice generator for realistic speech synthesis.
F – Fliki
AI tool for converting text into videos with voiceovers.
G – GitHub Copilot
AI coding assistant that suggests code in real time.
H – Hugging Face
Platform for machine learning models and NLP tools.
I – IBM Watson
Enterprise AI platform for analytics and automation.
J – Jasper AI
AI content writing tool for marketing and blogging.
K – Kaiber
AI tool for creating videos and visual content.
L – Luma AI
AI tool for 3D content creation and visualization.
M – Midjourney
AI image generation tool known for artistic visuals.
N – Notion AI
AI assistant for productivity, writing, and organization.
O – OpenAI Codex
AI model that converts natural language into code.
P – Pictory
AI video creation tool from text content.
Q – QuillBot
AI writing assistant for paraphrasing and grammar.
R – Runway ML
AI platform for video editing and generative media.
S – Stable Diffusion
Open-source AI image generation model.
T – TensorFlow
Machine learning framework for building AI models.
U – UiPath
AI-powered robotic process automation tool.
V – VEED.io
AI video editing and subtitle generation tool.
W – Writesonic
AI writing and content generation platform.
X – xAI Grok
AI chatbot developed by xAI.
Y – YouChat
AI search assistant for conversational answers.
Z – Zapier AI
AI automation tool for connecting apps and workflows.
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A – Adobe Firefly
AI tool for generating images and creative designs.
B – Bard
Google’s AI chatbot for conversations and information (now part of Gemini).
C – ChatGPT
AI assistant for writing, coding, learning, and problem-solving.
D – DALL·E
AI model that generates images from text prompts.
E – ElevenLabs
AI voice generator for realistic speech synthesis.
F – Fliki
AI tool for converting text into videos with voiceovers.
G – GitHub Copilot
AI coding assistant that suggests code in real time.
H – Hugging Face
Platform for machine learning models and NLP tools.
I – IBM Watson
Enterprise AI platform for analytics and automation.
J – Jasper AI
AI content writing tool for marketing and blogging.
K – Kaiber
AI tool for creating videos and visual content.
L – Luma AI
AI tool for 3D content creation and visualization.
M – Midjourney
AI image generation tool known for artistic visuals.
N – Notion AI
AI assistant for productivity, writing, and organization.
O – OpenAI Codex
AI model that converts natural language into code.
P – Pictory
AI video creation tool from text content.
Q – QuillBot
AI writing assistant for paraphrasing and grammar.
R – Runway ML
AI platform for video editing and generative media.
S – Stable Diffusion
Open-source AI image generation model.
T – TensorFlow
Machine learning framework for building AI models.
U – UiPath
AI-powered robotic process automation tool.
V – VEED.io
AI video editing and subtitle generation tool.
W – Writesonic
AI writing and content generation platform.
X – xAI Grok
AI chatbot developed by xAI.
Y – YouChat
AI search assistant for conversational answers.
Z – Zapier AI
AI automation tool for connecting apps and workflows.
❤️ Double Tap for More
❤5
Stop_telling_Claude,_write_the_code,_find_the_bug,_make_this_work.pdf
12.8 MB
Stop telling Claude, write the code, find the bug, make this work, You’re treating a billion-dollar AI engineer like a confused junior intern. Here are 11 Insane prompts you can copy-paste right now 🚀
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AI Fundamentals You Should Know: 🤖📚
1. Artificial Intelligence (AI)
→ Technology that allows machines to mimic human intelligence like learning, reasoning, problem-solving, and decision-making. AI powers tools like Chat, recommendation systems, voice assistants, and self-driving technologies.
2. Machine Learning (ML)
→ A subset of AI where systems learn patterns from data instead of being manually programmed. The more quality data ML models receive, the better they become at predictions and analysis.
3. Deep Learning
→ An advanced form of machine learning that uses neural networks with multiple layers to process complex tasks like image recognition, speech understanding, and generative AI.
4. AI Agent
→ An autonomous AI system capable of performing tasks, making decisions, interacting with tools, and completing workflows with minimal human input. AI agents are becoming the foundation of next-generation automation.
5. AI Model
→ A trained computational system that processes inputs and generates outputs such as predictions, text, images, or recommendations based on learned patterns.
6. Training
→ The process where AI models learn from massive datasets by identifying patterns, adjusting internal parameters, and improving accuracy over time.
7. Inference
→ The operational stage where a trained AI model generates responses, predictions, or decisions for real-world use. Every Chat response is an example of inference.
8. Prompt
→ Instructions, commands, or questions provided to an AI system. The clarity and detail of prompts directly impact the quality of AI outputs.
9. Prompt Engineering
→ The skill of designing structured and optimized prompts to guide AI systems toward more accurate, useful, and context-aware responses.
10. Generative AI
→ AI systems capable of creating original content such as text, images, music, videos, designs, and code instead of only analyzing existing information.
11. Token
→ Small units of text processed by AI models. Tokens may represent words, parts of words, or symbols that help AI understand and generate language.
12. Hallucination
→ A phenomenon where AI generates false, misleading, or fabricated information confidently due to prediction errors or lack of verified context.
13. Fine-Tuning
→ The process of customizing a pre-trained AI model using specialized datasets so it performs better on specific tasks or industries.
14. Multimodal AI
→ AI systems capable of processing and understanding multiple data formats together, including text, images, audio, and video.
15. LLM (Large Language Model)
→ Massive AI models trained on huge text datasets to understand language, answer questions, summarize information, and generate human-like responses.
16. Neural Network
→ A computational architecture inspired by the human brain, consisting of interconnected nodes that help AI recognize patterns and make decisions.
17. RAG (Retrieval-Augmented Generation)
→ A technique where AI retrieves external or updated information before generating responses, improving factual accuracy and context relevance.
18. Embeddings
→ Mathematical vector representations of text, images, or data that allow AI systems to understand meaning, similarity, and relationships between information.
19. Vector Database
→ Specialized databases designed to store and search embeddings efficiently, enabling semantic search and advanced AI retrieval systems.
20. Agentic AI
→ Advanced AI systems capable of reasoning, planning, memory handling, decision-making, and autonomously completing complex multi-step tasks.
21. Open Source AI
→ AI models and frameworks publicly available for developers and researchers to access, modify, improve, and build upon collaboratively.
📌 AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Double Tap ❤️ For More
1. Artificial Intelligence (AI)
→ Technology that allows machines to mimic human intelligence like learning, reasoning, problem-solving, and decision-making. AI powers tools like Chat, recommendation systems, voice assistants, and self-driving technologies.
2. Machine Learning (ML)
→ A subset of AI where systems learn patterns from data instead of being manually programmed. The more quality data ML models receive, the better they become at predictions and analysis.
3. Deep Learning
→ An advanced form of machine learning that uses neural networks with multiple layers to process complex tasks like image recognition, speech understanding, and generative AI.
4. AI Agent
→ An autonomous AI system capable of performing tasks, making decisions, interacting with tools, and completing workflows with minimal human input. AI agents are becoming the foundation of next-generation automation.
5. AI Model
→ A trained computational system that processes inputs and generates outputs such as predictions, text, images, or recommendations based on learned patterns.
6. Training
→ The process where AI models learn from massive datasets by identifying patterns, adjusting internal parameters, and improving accuracy over time.
7. Inference
→ The operational stage where a trained AI model generates responses, predictions, or decisions for real-world use. Every Chat response is an example of inference.
8. Prompt
→ Instructions, commands, or questions provided to an AI system. The clarity and detail of prompts directly impact the quality of AI outputs.
9. Prompt Engineering
→ The skill of designing structured and optimized prompts to guide AI systems toward more accurate, useful, and context-aware responses.
10. Generative AI
→ AI systems capable of creating original content such as text, images, music, videos, designs, and code instead of only analyzing existing information.
11. Token
→ Small units of text processed by AI models. Tokens may represent words, parts of words, or symbols that help AI understand and generate language.
12. Hallucination
→ A phenomenon where AI generates false, misleading, or fabricated information confidently due to prediction errors or lack of verified context.
13. Fine-Tuning
→ The process of customizing a pre-trained AI model using specialized datasets so it performs better on specific tasks or industries.
14. Multimodal AI
→ AI systems capable of processing and understanding multiple data formats together, including text, images, audio, and video.
15. LLM (Large Language Model)
→ Massive AI models trained on huge text datasets to understand language, answer questions, summarize information, and generate human-like responses.
16. Neural Network
→ A computational architecture inspired by the human brain, consisting of interconnected nodes that help AI recognize patterns and make decisions.
17. RAG (Retrieval-Augmented Generation)
→ A technique where AI retrieves external or updated information before generating responses, improving factual accuracy and context relevance.
18. Embeddings
→ Mathematical vector representations of text, images, or data that allow AI systems to understand meaning, similarity, and relationships between information.
19. Vector Database
→ Specialized databases designed to store and search embeddings efficiently, enabling semantic search and advanced AI retrieval systems.
20. Agentic AI
→ Advanced AI systems capable of reasoning, planning, memory handling, decision-making, and autonomously completing complex multi-step tasks.
21. Open Source AI
→ AI models and frameworks publicly available for developers and researchers to access, modify, improve, and build upon collaboratively.
📌 AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Double Tap ❤️ For More
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🧑💻 Useful AI Tools for Coding – 2026 🤖
1️⃣ Full IDEs
• Cursor (v2 with agentic workflows)
• Windsurf
• Trae
• Zed (AI-native forks)
• JetBrains AI Assistant
• VS Code with CopilotX
2️⃣ IDE Extensions
• GitHub Copilot (Workspace mode)
• Tabnine Pro
• Codeium
• Cline
• Continue.dev
• AskCodi
• Bito
3️⃣ Code Analysis
• CodeRabbit
• Mintlify
• Swimm
• Qodo
• MutableAI
4️⃣ Auto Agents
• Claude Code (3.5 Sonnet)
• OpenDevin
• RooCode
• Aider
• Cognition Devin
• SmythOS
5️⃣ Cloud-based Coding
• GitHub Codespaces (AI-accelerated)
• Amazon Q Developer
• Replit Agent
• StackBlitz
• CodeSandbox AI
• Cursor Cloud
6️⃣ AI Chatbots
• ChatGPT (o3 models)
• Claude
• Gemini 2.0
• Perplexity Labs
• Cody (Sourcegraph)
• Phind
• Grok Code
💬 Tap ❤️ if you found this useful!
1️⃣ Full IDEs
• Cursor (v2 with agentic workflows)
• Windsurf
• Trae
• Zed (AI-native forks)
• JetBrains AI Assistant
• VS Code with CopilotX
2️⃣ IDE Extensions
• GitHub Copilot (Workspace mode)
• Tabnine Pro
• Codeium
• Cline
• Continue.dev
• AskCodi
• Bito
3️⃣ Code Analysis
• CodeRabbit
• Mintlify
• Swimm
• Qodo
• MutableAI
4️⃣ Auto Agents
• Claude Code (3.5 Sonnet)
• OpenDevin
• RooCode
• Aider
• Cognition Devin
• SmythOS
5️⃣ Cloud-based Coding
• GitHub Codespaces (AI-accelerated)
• Amazon Q Developer
• Replit Agent
• StackBlitz
• CodeSandbox AI
• Cursor Cloud
6️⃣ AI Chatbots
• ChatGPT (o3 models)
• Claude
• Gemini 2.0
• Perplexity Labs
• Cody (Sourcegraph)
• Phind
• Grok Code
💬 Tap ❤️ if you found this useful!
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✅ Today's AI News
1️⃣ AI regulation is tightening
Reuters reports fresh pressure on xAI, OpenAI, and Anthropic, with lawsuits, access restrictions, and national-security concerns all in focus.
2️⃣ Big tech spending on AI is still huge
Microsoft’s AI infrastructure push, Google’s Gemini updates, and broader platform expansion remain major parts of the story.
3️⃣ AI is reshaping business models
The Economist highlights rising costs from AI agents and notes that companies are still figuring out how to make AI economically efficient.
4️⃣ India is a major AI hub right now
Indian Express is tracking AI governance, Anthropic’s India expansion, OpenAI’s compute growth, and Google’s AI features.
5️⃣ Research and product launches keep accelerating
MIT, Bloomberg, TechCrunch, and Google all show continued momentum in AI research, tools, and commercial applications.
💬 Tap ❤️ for more!
1️⃣ AI regulation is tightening
Reuters reports fresh pressure on xAI, OpenAI, and Anthropic, with lawsuits, access restrictions, and national-security concerns all in focus.
2️⃣ Big tech spending on AI is still huge
Microsoft’s AI infrastructure push, Google’s Gemini updates, and broader platform expansion remain major parts of the story.
3️⃣ AI is reshaping business models
The Economist highlights rising costs from AI agents and notes that companies are still figuring out how to make AI economically efficient.
4️⃣ India is a major AI hub right now
Indian Express is tracking AI governance, Anthropic’s India expansion, OpenAI’s compute growth, and Google’s AI features.
5️⃣ Research and product launches keep accelerating
MIT, Bloomberg, TechCrunch, and Google all show continued momentum in AI research, tools, and commercial applications.
💬 Tap ❤️ for more!
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🤖 Anthropic updates Claude Design with brand style sync
Anthropic's Claude Design now integrates your design system directly from repositories, design files, or codebases to maintain your brand style across projects. It builds interfaces using your real components and checks compliance before you see the result.
The editor is more stable for daily use and adds new layout controls. You can drag, resize, and align elements on the canvas without extra steps. Claude Design and Claude Code sync bidirectionally, letting you start in code or design and keep projects aligned.
Finished work exports to PDF, PowerPoint, or other tools you already use. This update tightens the workflow between design and development with fewer style mismatches.
Anthropic's Claude Design now integrates your design system directly from repositories, design files, or codebases to maintain your brand style across projects. It builds interfaces using your real components and checks compliance before you see the result.
The editor is more stable for daily use and adds new layout controls. You can drag, resize, and align elements on the canvas without extra steps. Claude Design and Claude Code sync bidirectionally, letting you start in code or design and keep projects aligned.
Finished work exports to PDF, PowerPoint, or other tools you already use. This update tightens the workflow between design and development with fewer style mismatches.
❤5
AI agents are no longer just a developer toy.
OpenAI published new research on how agents are changing work, and the main takeaway is important:
AI is moving from short chat interactions to delegated long-horizon tasks.
That sounds abstract, but here is the simple version:
Old way:
ask AI one question, get one answer.
New way:
give AI a task, let it work for minutes or hours, review the result.
This is the shift that matters.
According to OpenAI's research, by May 2026, 80.6% of sampled individual Codex users made at least one request estimated to represent more than 30 minutes of human work.
70.2% made at least one request estimated at more than one hour of human work.
And 25.6% delegated work estimated to take more than eight hours.
The most interesting part:
Non-developer adoption is growing fast.
That means agents are not only for engineers anymore.
They are becoming useful for:
- operations
- support
- finance
- recruiting
- marketing
- research
- reporting
- personal productivity
- small business workflows
This is the practical question now:
Not "Which AI model is smartest?"
But:
"What work can I safely delegate to an agent?"
The answer is not "everything."
The answer is:
one clear task,
with context,
tools,
rules,
memory,
and human review.
This is what we will focus on next:
how to turn normal work into agent-ready tasks.
Not theory.
Not hype.
Practical AI systems you can actually build and use.
Sources:
https://openai.com/index/how-agents-are-transforming-work/
https://www.axios.com/2026/06/25/codex-agents-growth-openai
OpenAI published new research on how agents are changing work, and the main takeaway is important:
AI is moving from short chat interactions to delegated long-horizon tasks.
That sounds abstract, but here is the simple version:
Old way:
ask AI one question, get one answer.
New way:
give AI a task, let it work for minutes or hours, review the result.
This is the shift that matters.
According to OpenAI's research, by May 2026, 80.6% of sampled individual Codex users made at least one request estimated to represent more than 30 minutes of human work.
70.2% made at least one request estimated at more than one hour of human work.
And 25.6% delegated work estimated to take more than eight hours.
The most interesting part:
Non-developer adoption is growing fast.
That means agents are not only for engineers anymore.
They are becoming useful for:
- operations
- support
- finance
- recruiting
- marketing
- research
- reporting
- personal productivity
- small business workflows
This is the practical question now:
Not "Which AI model is smartest?"
But:
"What work can I safely delegate to an agent?"
The answer is not "everything."
The answer is:
one clear task,
with context,
tools,
rules,
memory,
and human review.
This is what we will focus on next:
how to turn normal work into agent-ready tasks.
Not theory.
Not hype.
Practical AI systems you can actually build and use.
Sources:
https://openai.com/index/how-agents-are-transforming-work/
https://www.axios.com/2026/06/25/codex-agents-growth-openai
OpenAI
How agents are transforming work
A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles.
❤1
🐶 ASO Corgi — platform for the App Store developers.
Find the keywords your apps and competitors rank for, and track positions across every country in one place.
🔑 Keyword research: by topic, by your app's languages, from App Store suggestions, by competitors, and with AI analysis.
• Rankings by country — history, charts, demand score (0–100)
• Global search across any App Store storefront
• ASO assistant builds your listing for each locale
• App Store top charts for any country
🎁 14 days of Pro, free 👇 (no card required)
https://asocorgi.com/?promo=promo14&utm_source=aichads&utm_medium=telegram&utm_campaign=launch
Find the keywords your apps and competitors rank for, and track positions across every country in one place.
🔑 Keyword research: by topic, by your app's languages, from App Store suggestions, by competitors, and with AI analysis.
• Rankings by country — history, charts, demand score (0–100)
• Global search across any App Store storefront
• ASO assistant builds your listing for each locale
• App Store top charts for any country
🎁 14 days of Pro, free 👇 (no card required)
https://asocorgi.com/?promo=promo14&utm_source=aichads&utm_medium=telegram&utm_campaign=launch
❤1
🎯 Step by step AI and ML roadmap with a YouTube playlist 👇
Step 1 - Python programming:
https://youtu.be/eirjjyP2qcQ?si=KuAvg-DuKxMkD7jR
Step 2 - Foundation of AI/ML:
https://youtu.be/VOpETRQGXy0?si=mfJ86zEFHv2VqGrb
Step 3 - Data Science:
https://youtu.be/fM4qTMfCoak?si=AhpjlpEmRAQh9k0g
Step 4 - Gen AI + LLM foundation:
https://youtu.be/pSVk-5WemQ0?si=7tb-RGCSxwrXV5E2
Step 5 - LangChain + LangGraph:
https://youtu.be/yC36gN-rqjo?si=43HnisWd1V1IfvRM
Step 6 - Model Context Protocol:
https://youtu.be/3_TN1i3MTEU?si=nkp-nGv-MN0X9Ukb
Step 7 - Google ADK + A2A:
https://youtu.be/mFkw3p5qSuA?si=cTJZiYX7L1ZdVwOc
React '❤️' for more such content!
Step 1 - Python programming:
https://youtu.be/eirjjyP2qcQ?si=KuAvg-DuKxMkD7jR
Step 2 - Foundation of AI/ML:
https://youtu.be/VOpETRQGXy0?si=mfJ86zEFHv2VqGrb
Step 3 - Data Science:
https://youtu.be/fM4qTMfCoak?si=AhpjlpEmRAQh9k0g
Step 4 - Gen AI + LLM foundation:
https://youtu.be/pSVk-5WemQ0?si=7tb-RGCSxwrXV5E2
Step 5 - LangChain + LangGraph:
https://youtu.be/yC36gN-rqjo?si=43HnisWd1V1IfvRM
Step 6 - Model Context Protocol:
https://youtu.be/3_TN1i3MTEU?si=nkp-nGv-MN0X9Ukb
Step 7 - Google ADK + A2A:
https://youtu.be/mFkw3p5qSuA?si=cTJZiYX7L1ZdVwOc
React '❤️' for more such content!
❤1
Aaj hi ek certified Hackar bano!💻
Shuru se saari cheeze seekho bilkul basic se!!
PW skills leke aaya h certified Ethical Hacking ka course!!
Isme milega :
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✅ LIVE Hacking Labs
✅ Certificate after Completion
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Abhi enroll karo HACK30 Coupon code use karke 30% OFF milega!
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Shuru se saari cheeze seekho bilkul basic se!!
PW skills leke aaya h certified Ethical Hacking ka course!!
Isme milega :
✅ Hands on Practice
✅ LIVE Hacking Labs
✅ Certificate after Completion
Sirf Rs 4999 mai
Abhi enroll karo HACK30 Coupon code use karke 30% OFF milega!
Enroll NOW : https://pwskills.com/web-development/certified-ethical-hacking-course-035473/?source=pwskills.com&position=course_dropdown&from=home_page&utm_source=pwskills&utm_medium=telegram&utm_campaign=ethical_hacking