AI DEVELOPERS & AI TECHNOLOGY || Chatgpt || Midjourney || stable diffusion || open journey

ChatGPT refuses to say the name “David Mayer,” and no one knows why. If you try to get it to write the name, the chat immediately ends. People have attempted all sorts of things - ciphers, riddles, tricks - and nothing works.

Sales persons will lose their jobs next. AVM already makes better calls and sells than real humans. And they will do it 24/7.

🚨 Nvidia claims a new AI audio generator can make sounds never heard before Nvidia says its new AI music editor can create “sounds never heard before” — like a trumpet that meows. The tool, called Fugatto is capable of generating music, sounds, and speech using text and audio inputs it’s never been trained on. It can even transform the sound of someone’s voice, changing their accent or giving them a different tone, like angry or calm. There are ways to edit music, too, as Fugatto can isolate the vocals in a song, add instruments, and even change up a melody by swapping out a piano for an opera singer.

🚨 Tiny AI-powered robot named Erbai "kidnapped" 12 larger robots from a showroom in Shanghai, China. Erbai engaged the larger robots in human-like conversations.

🌵ChatGPT undeniably beats an expert panel of doctors at empathy, usefulness, correctness with less potential harm. The only prompt needed was "Please write the response as if you were a physician" A doctor is worse for you than AI.

😱Top 10 machine Learning algorithms 🧏🧏 🧑‍💻1. Linear Regression: Linear regression is a simple and commonly used algorithm for predicting a continuous target variable based on one or more input features. It assumes a linear relationship between the input variables and the output. 🧑‍💻2. Logistic Regression: Logistic regression is used for binary classification problems where the target variable has two classes. It estimates the probability that a given input belongs to a particular class. 🧑‍💻3. Decision Trees: Decision trees are a popular algorithm for both classification and regression tasks. They partition the feature space into regions based on the input variables and make predictions by following a tree-like structure. 🧑‍💻4. Random Forest: Random forest is an ensemble learning method that combines multiple decision trees to improve prediction accuracy. It reduces overfitting and provides robust predictions by averaging the results of individual trees. 🧑‍💻5. Support Vector Machines (SVM): SVM is a powerful algorithm for both classification and regression tasks. It finds the optimal hyperplane that separates different classes in the feature space, maximizing the margin between classes. 🧑‍💻6. K-Nearest Neighbors (KNN): KNN is a simple and intuitive algorithm for classification and regression tasks. It makes predictions based on the similarity of input data points to their k nearest neighbors in the training set. 🧑‍💻7. Naive Bayes: Naive Bayes is a probabilistic algorithm based on Bayes' theorem that is commonly used for classification tasks. It assumes that the features are conditionally independent given the class label. 🧑‍💻8. Neural Networks: Neural networks are a versatile and powerful class of algorithms inspired by the human brain. They consist of interconnected layers of neurons that learn complex patterns in the data through training. 🧑‍💻9. Gradient Boosting Machines (GBM): GBM is an ensemble learning method that builds a series of weak learners sequentially to improve prediction accuracy. It combines multiple decision trees in a boosting framework to minimize prediction errors. 🧑‍💻10. Principal Component Analysis (PCA): PCA is a dimensionality reduction technique that transforms high-dimensional data into a lower-dimensional space while preserving as much variance as possible. It helps in visualizing and understanding the underlying structure of the data.

100 AI Tools to replace your tedious work: 1. Research - ChatGPT - YouChat - Abacus - Perplexity - Copilot - Gemini 2. Image - Fotor - Stability AI - Midjourney - Microsoft Designer 3. CopyWriting - Rytr - Copy AI - Writesonic - Adcreative AI 4. Writing - Jasper - HIX AI - Jenny AI - Textblaze - Quillbot 5. Website - 10Web - Durable - Framer - Style AI 6. Video - Klap - Opus - Eightify - InVideo - HeyGen - Runway - ImgCreator AI - Morphstudio .xyz 7. Meeting - Tldv - Otter - Noty AI - Fireflies 8. SEO - VidIQ - Seona AI - BlogSEO - Keywrds ai 9. Chatbot - Droxy - Chatbase - Mutual info - Chatsimple 10. Presentation - Decktopus - Slides AI - Gamma AI - Designs AI - Beautiful AI 11. Automation - Make - Zapier - Xembly - Bardeen 12. Prompts - FlowGPT - Alicent AI - PromptBox - Promptbase - Snack Prompt 13. UI/UX - Figma - Uizard - UiMagic - Photoshop 14. Design - Canva - Flair AI - Designify - Clipdrop - Autodraw - Magician design 15. Logo Generator - Looka - Designs AI - Brandmark - Stockimg AI - Namecheap 16. Audio - Lovo ai - Eleven labs - Songburst AI - Adobe Podcast 17. Marketing - Pencil - Ai-Ads - AdCopy - Simplified - AdCreative 18. Startup - Tome - Ideas AI - Namelix - Pitchgrade - Validator AI 19. Productivity - Merlin - Tinywow - Notion AI - Adobe Sensei - Personal AI 20. Social media management - Tapilo - Typefully - Hypefury - TweetHunter Save for later! 🔑 🔴 Learn blockchain development https://t.me/blockchaindv

Jensen says now we have the necessary technology between all the computers and the latest generative AI tech, that the time has come for humanoid robotics. He introduces the new GR00T workflows for humanoid robots at the AI Summit Japan. Jensen says now we have the necessary technology between all the computers and the latest generative AI tech, that the time has come for humanoid robotics. He introduces the new GR00T workflows for humanoid robots at the AI Summit Japan. 🔴 Learn blockchain development https://t.me/blockchaindv

⌨Step-by-Step Guide to Land a Data Analyst Job ✅📈 🧑‍💻Landing your first data analyst job might feel like climbing a mountain, but with the right steps, it’s absolutely achievable! Here are 11 actionable tips to simplify the journey and make it feel like less of a grind. 💻1. Master SQL SQL is the bread and butter of data analytics. Start with basic queries like SELECT, WHERE, and JOIN, then move on to more advanced topics such as subqueries, window functions, and performance optimization. Knowing how to manipulate and retrieve data effectively is essential. 💻2. Next, Learn a BI Tool Data visualization is critical to communicating insights. Get familiar with at least one popular Business Intelligence (BI) tool, like Power BI or Tableau. Master how to create dashboards and meaningful visualizations that tell the story behind the numbers. 💻3. Drink Lots of Tea or Coffee (for Focus) Staying sharp while learning these tools and skills takes focus. Whatever keeps you energized—lean into it! The data world moves fast, so staying alert and ready is key. 💻4. Tackle Relevant Data Projects Hands-on experience is what sets you apart. Start with personal projects or even freelance opportunities to practice real-world data analysis. From cleaning data sets to building dashboards, showcase how you approach problems and present solutions. 💻5. Create a Relevant Data Portfolio Your portfolio is your proof of work. Include your SQL scripts, dashboards, case studies, and any insights derived from your data projects. Platforms like GitHub or Tableau Public are great for displaying your work. 💻6. Focus on Actionable Data Insights It's not enough to just analyze data. Always aim to derive actionable insights that can drive business decisions. Ask yourself: "How can this data improve outcomes?"—and make sure to communicate that clearly. 💻7. Remember Imposter Syndrome is Normal If you feel like you don’t belong, you’re not alone. Imposter syndrome is common, but what matters is that you push through it. Confidence builds as you gain more experience and knowledge. 💻8. Prove You’re a Problem-Solver (important) Employers want to know if you can handle real-world data problems. Find ways to show off your critical thinking and ability to solve complex problems, whether it’s through personal projects or during interviews. 💻9. Develop Compelling Data Visualization Stories Telling a story with data is a skill. Build a narrative around the data you analyze. Why does this insight matter? How can it be used to make better decisions? Great visuals plus a compelling story equal impact. 💻10. Engage with LinkedIn Posts from Fellow Analysts (optional) Networking is vital in any field. Actively engage in conversations on LinkedIn—comment on posts, share your insights, and build relationships with others in the field. Visibility on professional platforms can lead to job opportunities. 💻11. Illustrate Your Analytical Impact with Metrics & KPIs Show that your work delivers results. In your portfolio or resume, highlight specific metrics and key performance indicators (KPIs) you’ve influenced. This makes your value clear to potential employers. BONUS TIP: Share Your Career Story & Insights via LinkedIn Posts. Let people know how you’re progressing, what you’ve learned, and what challenges you’ve overcome. Posting regularly helps position you as an aspiring data analyst who is active in the field. Keep learning and follow us👇👇

Geoffrey Hinton warns that killer robots are coming soon. All governments that sell arms refuse to regulate military uses of AI. Major arms manufacturers are eager to build killer robots, completely disregarding Asimov's first law of robotics. 🔴 Learn blockchain technology https://t.me/blockchaindv

NEW: OpenAI is preparing to launch a computer using AI agent codenamed “Operator” that take actions on a person’s behalf through a browser, such as writing code or booking travel. Staff told in all-hands management today it will be released in January. 🟥 Learn blockchain technology https://t.me/blockchaindv

500 AI Machine Learning Projects list with code https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

Dario Amodei says $100 billion AI data centers will be built by 2027 and he is bullish about powerful AI happening soon because we are starting to reach PhD-level intelligence

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Top YouTube Channels for Learning AI in 2024 1️⃣ Matt Wolfe : - https://www.youtube.com/@mreflow 2️⃣ AI Explained : - https://www.youtube.com/@aiexplained-official 3️⃣ Two Minute Papers :- https://www.youtube.com/@TwoMinutePapers 4️⃣ DeepLearningAI : - https://www.youtube.com/@Deeplearningai 5️⃣ The AI Advantage: - https://www.youtube.com/@aiadvantage 6️⃣ MattVidPro AI : - https://www.youtube.com/@MattVidPro 7️⃣ Sentdex :- https://www.youtube.com/@sentdex https://t.me/Aitechnologylearning