Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning

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📈 Telegram 频道 Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning 的分析概览

频道 Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning (@aichads) 英语语言赛道中的是活跃参与者。目前社区聚集了 22 926 名订阅者，在 技术与应用 类别中位列第 5 623，并在美国地区排名第 1 727 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 22 926 名订阅者。

根据 29 九月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 55，过去 24 小时变化为 2，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 4.40%。内容发布后 24 小时内通常能获得 0.87% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 1 009 次浏览，首日通常累积 199 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 3。
主题关注点： 内容集中在 tpg, learning, reply, chunk, \[\ 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“Best Place to know latest AI Trends & Projects. Latest updates on Artificial Intelligence, Deep Learning, Machine Learning, and Computer Vision 💻💹 Admin: @love_data Buy ads: https://telega.io/c/aichads”

凭借高频更新（最新数据采集于 30 九月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。

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22 926

订阅者

+224 小时

-97 天

+5530 天

1 009

帖子浏览量

~ 19924 小时

~ 26648 小时

4.40%

参与率

无数据

每日帖子数

Ads index

beta

数据加载中...

吸引订阅者

九月 '269月 '26

九月 '26

+148

在0个频道中

八月 '26

+243

在0个频道中

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七月 '26

+227

在2个频道中

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六月 '26

+205

在0个频道中

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五月 '26

+342

在1个频道中

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四月 '26

+214

在2个频道中

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三月 '26

+256

在0个频道中

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二月 '26

+426

在2个频道中

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一月 '26

+653

在3个频道中

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十二月 '25

+525

在1个频道中

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十一月 '25

+629

在1个频道中

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十月 '25

+673

在1个频道中

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九月 '25

+690

在1个频道中

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八月 '25

+912

在0个频道中

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七月 '25

+1 114

在0个频道中

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六月 '25

+1 557

在2个频道中

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五月 '25

+2 689

在0个频道中

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四月 '25

+3 712

在6个频道中

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三月 '25

+1 435

在11个频道中

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二月 '25

+1 131

在4个频道中

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一月 '25

+1 815

在10个频道中

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十二月 '24

+823

在1个频道中

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十一月 '24

+756

在0个频道中

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十月 '24

+851

在1个频道中

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九月 '24

+946

在0个频道中

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八月 '24

+1 135

在1个频道中

日期	订阅者增长	提及	频道
30 九月	0
29 九月	+2
28 九月	+13
27 九月	0
26 九月	0
25 九月	+1
24 九月	0
23 九月	+10
22 九月	+6
21 九月	+4
20 九月	+6
19 九月	+5
18 九月	+2
17 九月	0
16 九月	+8
15 九月	0
14 九月	+6
13 九月	+6
12 九月	+13
11 九月	+6
10 九月	+2
09 九月	+10
08 九月	+6
07 九月	+2
06 九月	+3
05 九月	+6
04 九月	+5
03 九月	+11
02 九月	+8
01 九月	+7

频道帖子

🎯 GigaChat 3.5 Reasoning: 5 Key Features 1️⃣ Advanced Reasoning: Explores multiple step-by-step paths, using automated verification to reinforce correct answers and self-correct 2️⃣ Autonomous Tool Usage: Independently decides when to call external APIs or revise earlier steps 3️⃣ Linear Attention: Proprietary architecture retains key context points without re-matching from scratch 4️⃣ Token Economy: Uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems 5️⃣ Proven Performance: Open-source LLM (built on GigaChat 3.5 Ultra) with massive benchmark gains: • IFBench: 44 → 77 • Natural Plan: 64 → 80 • LiveCodeBench v6: 56 → 85 🔗 MIT License. Weights on Hugging Face: fp8 | bf16

2	How to use ChatGPT to improve your decision-making 🧠🎯 Prompt: I want you to act as my personal decision-making coach. My goal is to make clearer, more logical, and better-informed decisions. Help me by: • First, assess how I currently make decisions through questions and real-life scenarios • Identify common patterns, biases, or mistakes in my thinking • Teach me practical decision-making frameworks • Give me realistic situations where I have to make a choice • Ask me to explain my reasoning before giving feedback • Challenge my assumptions and help me consider alternative perspectives • Show me how to separate facts, assumptions, emotions, and opinions • Help me evaluate risks, trade-offs, and consequences • Give me exercises to strengthen my critical thinking • Track my progress and gradually increase the difficulty Don't make decisions for me. Help me develop the ability to make better decisions independently. Start with the first scenario. Double Tap ❤️ For More Useful Prompts	393
3	✅ Top 5 Mistakes to Avoid When Learning Artificial Intelligence 🤖❌ 1️⃣ Skipping Math Foundations AI relies on linear algebra, calculus, and probability. Learn the basics or struggle later. 2️⃣ Confusing AI with ML and DL AI is the broad field. ML and DL are subsets. Know the difference to learn the right tools. 3️⃣ Focusing Only on Code Don't just run models. Understand why and how algorithms work under the hood. 4️⃣ Neglecting Ethics and Bias AI systems affect real lives. Always check for fairness, explainability, and transparency. 5️⃣ Not Building Real-World Projects Theory won't get you hired. Apply AI in fields like healthcare, finance, or NLP. Share results. 💬 Tap ❤️ for more!	512
4	AI Automation is hard until you watch those videos 👇 1/ N8N Full Course: Build AI Automations in 2026: https://www.youtube.com/watch?v=7_PeuTsx7UM 2/ Make.com AI Agent Tutorial https://www.youtube.com/watch?v=3L48KfOrIo8 3/ AI Automation Concepts: APIs, Webhooks, RAG & MCP: https://www.youtube.com/watch?v=s4hF6VbyOQU 4/ Automate Everything with Zapier AI Agents: https://www.youtube.com/watch?v=avQMU1yJkyY 5/ 5/ AI-Powered Social Media Agent with n8n & Make: https://www.youtube.com/watch?v=K1VwNCfBYE8	984
5	🤖 AI News of the Day: 11 September 2026 1️⃣ AI misuse raises major security concerns ⚠️ Anthropic says it disrupted multiple attempts to misuse its Claude models for cyberattacks, surveillance, weapons development and biological research. The findings are intensifying debate over AI safeguards. 2️⃣ US lawmakers push for tougher AI rules 🏛️ Growing concerns about advanced AI systems have prompted lawmakers from both parties to consider stronger oversight, independent evaluations and emergency controls for powerful AI models. 3️⃣ China's Z.AI raises $5 billion 💰 Chinese AI company Z.AI has launched a massive $5 billion fundraising effort to finance computing infrastructure, research, acquisitions and expansion as competition with US AI companies intensifies. 4️⃣ AI agents become the new cybersecurity challenge 🛡️ Anthropic's latest report says attackers are increasingly using AI agents to automate reconnaissance, data theft and cyber operations, reducing the amount of human involvement required. 5️⃣ India becomes increasingly important to global AI 🇮🇳 Anthropic's India leadership says the country's large developer community and willingness to experiment are helping shape AI products and adoption strategies for global markets. Double Tap ❤️ For More	1 035
6	Your Data Science degree just got an AI update. Yeah. Things are moving fast. Python. SQL. Machine Learning. Deep Learning. MLOps. And now GenAI, LLMs, RAG & AI-powered workflows. An 8-month program with 20+ industry projects and live weekend classes. Maybe Data Science was just the beginning. https://lp.pwskills.com/data-science-ai-online-program-pw-skills?utm_source=telegram&utm_medium=influencer&utm_campaign=deepakAugDS	1 269
7	+5 n8n cheat sheet I wish I had this cheat sheet when I started automating using n8n. Save this before it disappears. This cheat sheet covers everything from triggers to AI agents, expressions to keyboard shortcuts. Whether you're building your first workflow or your hundredth, you'll want this in your back pocket.	1 271
8	Top AI Models for Developers There is no single winner for every dev task. 1. Claude — Anthropic Best for: Complex coding & large codebases Excellent for: Debugging, refactoring, code reviews, multi-file changes, agentic coding, understanding existing codebases Best choice: Complex production development 2. GPT — OpenAI Best for: All-round software development Excellent for: Coding, debugging, architecture, algorithms, code explanation, agentic workflows Best choice: Developers who want one versatile model 3. ChatGPT — Google Best for: Large codebases & multimodal development Excellent for: Large-context code analysis, coding, documentation, multimodal inputs, Google Cloud development Note: Very large context window is great for big repositories 4. DeepSeek Best for: Cost-effective coding & reasoning Excellent for: Coding, mathematics, reasoning, debugging, high-volume development Best choice: Strong performance at lower cost 5. Qwen Best for: Open-weight coding Excellent for: Code generation, coding agents, local deployment, customization, multilingual development Best choice: You want control over deployment and open-weight models 6. Grok — xAI Best for: Coding + real-time information Useful for: Coding, reasoning, web research, current information, developer experimentation 7. Mistral Best for: Efficient/open AI development Useful for: Enterprise applications, coding, local/private deployments, multilingual applications 8. Llama — Meta Best for: Open-weight AI development Useful for: Local AI, fine-tuning, research, custom AI applications, private deployments 9. Kimi — Moonshot AI Best for: Reasoning + long-context development Useful for: Complex reasoning, coding, large-context tasks, AI agents 10. GLM — Zhipu AI Best for: Coding + agents + open models Useful for: Code generation, reasoning, agent development, open-weight experimentation Quick Ranking for Developers 🥇 Claude → Complex coding & refactoring 🥈 GPT → Best all-rounder 🥉 ChatGPT → Large codebases & multimodal work 4️⃣ DeepSeek → Cost-effective coding 5️⃣ Qwen → Open-weight/local coding 6️⃣ Grok → Coding + real-time information 7️⃣ Mistral → Efficient/open AI 8️⃣ Llama → Custom/local AI 9️⃣ Kimi → Long-context reasoning 🔟 GLM → Agents + coding These rankings are task-dependent. Different models win different coding scenarios. How to pick for your workflow: Working on a 100k line repo → Claude or ChatGPT for context + refactoring Need one model for everything → GPT Budget + high volume → DeepSeek Need local/private deployment → Qwen, Llama, Mistral Building agents → GLM, Kimi, Claude Need live docs + X trends → Grok Double Tap ❤️ For More ----- 2.14 ₽ · /balance_help	1 059
9	5 Free Courses to Go From AI Beginner to Practitioner 1️⃣ Harvard CS50: Introduction to AI with Python 🎓 Learn the fundamentals of AI before diving into machine learning. Build AI projects like Tic-Tac-Toe, search algorithms, and logic solvers while mastering core AI concepts. 👉 Click Here: https://cs50.harvard.edu/ai/ 2️⃣ Google Machine Learning Crash Course 📊 Google's official ML course teaches gradient descent, TensorFlow, feature engineering, and model training with interactive lessons used by Google engineers. 👉 Click Here: https://developers.google.com/machine-learning/crash-course 3️⃣ fast.ai – Practical Deep Learning for Coders 💻 Build real deep learning models from the very first lesson. Learn computer vision, NLP, PyTorch, and deploy AI applications with practical projects. 👉 Click Here: https://course.fast.ai/ 4️⃣ Hugging Face NLP Course 🤖 Master Transformers, LLMs, and modern Generative AI. Learn to fine-tune open-source models using the Hugging Face ecosystem. 👉 Click Here: https://huggingface.co/learn/nlp-course 5️⃣ Andrej Karpathy – Neural Networks: Zero to Hero 🧠 Build neural networks and a mini GPT completely from scratch. One of the best free resources to deeply understand how LLMs actually work. 👉 Click Here: https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ ❤️ Follow AIJobs for more AI drops	1 099
10	✅ Top Artificial Intelligence Concepts You Should Know 🤖🧠 🔹 1. Natural Language Processing (NLP) Use Case: Chatbots, language translation → Enables machines to understand and generate human language. 🔹 2. Computer Vision Use Case: Face recognition, self-driving cars → Allows machines to "see" and interpret visual data. 🔹 3. Machine Learning (ML) Use Case: Predictive analytics, spam filtering → AI learns patterns from data to make decisions without explicit programming. 🔹 4. Deep Learning Use Case: Voice assistants, image recognition → A type of ML using neural networks with many layers for complex tasks. 🔹 5. Reinforcement Learning Use Case: Game AI, robotics → AI learns by interacting with the environment and receiving feedback. 🔹 6. Generative AI Use Case: Text, image, and music generation → Models like ChatGPT or DALL·E create human-like content. 🔹 7. Expert Systems Use Case: Medical diagnosis, legal advice → AI systems that mimic decision-making of human experts. 🔹 8. Speech Recognition Use Case: Voice search, virtual assistants → Converts spoken language into text. 🔹 9. AI Ethics Use Case: Bias detection, fair AI systems → Ensures responsible and transparent AI usage. 🔹 10. Robotic Process Automation (RPA) Use Case: Automating repetitive office tasks → Uses AI to handle rule-based digital tasks efficiently. 💡 Learn these concepts to understand how AI is transforming industries! 💬 Tap ❤️ for more!	1 394
11	If you’re a student, graduate, or someone looking for a career switch, read this. Most people spend months watching random YouTube videos and still don’t become job-ready. Instead, learn in a structured offline classroom. 📌 Data Analytics with GenAI 📌 Python + SQL + Power BI 📌 6-Month Program 📌 1:1 Mentorship 📌 Job Assistance 📍Now available in your city. Seats are limited. 👉 Register Here: https://lp.pwskills.com/data-analytics-course-offline-batch0?utm_source=telegram&utm_medium=influencer&utm_campaign=daoffline	1 034
12	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 : ✅ 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	1 185
13	没有文字...	1 154
14	🤝 Agentic AI Explained	1 121
15	🎯 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!	1 432
16	🐶 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	1 191
17	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	1 188
18	🤖 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. 📊@tech	1 104
19	✅ 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!	1 150
20	🧑‍💻 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!	1 281

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