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🚀 We're hiring! 3 Full Stack Engineer openings in my team at EPAM Systems. Join us to build AI-powered applications and agentic systems! 📍 Hyderabad | Hybrid 💼 Experience: 4–10 years ⏳ Joining: Immediate to 30 days Key skills: TypeScript, Node.js, full-stack development, component-based frontends, and system design. Good to have: LangGraph, LLM integrations, AI agent workflows, evaluation frameworks, and Stencil/Angular.

AI Fundamentals Ep 1 What AI Actually Is - AWS AI Practitioner AIF C01 AI Fundamentals (No Code): AI vs ML vs Deep Learning vs GenAI + Training, Data, Inference & Overfitting This episode launches a five-part, no-code AI fundamentals series for PMs and non-developers, aimed at building core concepts and helping prepare for the AWS AI Practitioner exam. It explains the hierarchy of AI, machine learning, deep learning, and generative AI with a practical example, and clarifies that agentic AI is a system around a model involving planning, tool use, memory, and actions. The video covers how models learn through data, algorithm choice, training, evaluation, and inference, plus key data distinctions (labeled vs unlabeled, structured vs unstructured, tabular vs time series, and modalities). It introduces supervised, unsupervised, reinforcement, and semi-supervised learning, compares inference options (batch, real-time, asynchronous, serverless), summarizes neural networks (nodes, layers, weights), and shows how to diagnose and address underfitting vs overfitting using remedies like cross-validation, more representative data, regularization, simpler models, and early stopping. 00:00 1 AI_Fundamentals_Video_Series_Teleprompter 01:52 What AI Actually Is 05:22 How a Model Learns 07:16 The Data You Feed It 09:42 Four Ways a Model Learns 11:52 Four Ways to Run Inference 13:33 Neural Networks, No Jargon 14:54 Bias, Variance, and Fit 17:17 Recap & Practice Questions FREE CHEAT SHEET One-page summary of every term in this episode: Will be uploaded soon WHO THIS IS FOR 1. Beginners with no machine learning background, and anyone preparing for the AWS 2. Certified AI Practitioner (AIF-C01) exam. Nothing here assumes you can code. #AWSCertifiedAIPractitioner #AIFC01 #AIforBeginners #MachineLearning #GenerativeAI My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Github: https://github.com/jacinthpaul --------------------------------------------- Website: https://www.programstrategyhq.com/ ---------------------------------------------

AI Is Making Intelligence Cheap — 10 Skills That Will Matter Instead Dario Amodei, CEO of Anthropic, published an essay arguing we need to pace the frontier of AI development. Sam Altman, Elon Musk and Demis Hassabis broadly agreed. But underneath that debate sits a more interesting question: what happens to humans if intelligence itself becomes cheap? For thousands of years intelligence was scarce, and we built schools, degrees and entire careers around the equation "I know something valuable that you don't." AI is breaking that equation — the same way calculators made arithmetic cheap and phone cameras made taking a photograph worthless while taste became everything. This video covers what becomes scarce when intelligence becomes abundant, the 10 skills that grow more valuable, and a five-layer skill stack for what to actually learn. Dario Amodei — "We Must Pace the Frontier": https://darioamodei.com/post/we-must-pace-the-frontier CHAPTERS 0:00 One morning, this 0:10 "We need to slow down AI" 0:44 Altman, Musk and Hassabis agree 1:10 The end of intelligence scarcity 1:42 Calculators, cameras and commodities 2:20 So what becomes scarce? 2:38 The 10 skills that stay valuable 3:45 The five-layer skill stack 4:17 What will you be uniquely valuable for? THE 10 SKILLS 1. Problem framing — who decides which problem is worth solving? 2. Judgment — AI gives options, humans carry consequences 3. Domain expertise — AI plus deep knowledge is powerful 4. AI orchestration — redesign the workflow, not the chatbot 5. Systems thinking — understand what surrounds the task 6. Communication — attention is the scarce resource 7. Human relationships — people work with people 8. Taste — creation gets democratised, taste does not 9. Creativity — connect ideas that shouldn't connect 10. Agency — "let me try this and let you know" If intelligence becomes a commodity, what human skill will be worth the most? Tell me in the comments. #AI #FutureOfWork #CareerAdvice #ArtificialIntelligence #Skills2026 My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Github: https://github.com/jacinthpaul --------------------------------------------- Website: https://www.programstrategyhq.com/ ---------------------------------------------

Claude Certified Associate Exam Prep — Full Course All 7 Domains, One Video. A complete refresher for the Claude Certified Associate (Foundations) exam — all seven exam domains covered in one video, in the order they build on each other. Nine sessions: a core concepts primer, then one session per exam domain, weighted the way the exam is weighted. Watch straight through, or jump to the domain you're weakest in using the chapters below. CHAPTERS 00:00 Core concepts primer 00:00 Prompting and task execution (14% of exam) 00:00 Output evaluation and validation (21%) 00:00 Product and model selection (12%) 00:00 Workflow integration and solution design (16%) 00:00 Configuration and knowledge management (12%) 00:00 Governance, risk and responsible use (15%) 00:00 Troubleshooting and optimization (10%) 00:00 Closing and best wishes WHAT YOU'LL COVER · Writing prompts that hold up under real task conditions · Checking and validating model output before it ships · Choosing the right Claude product and model for a job · Designing Claude into an existing workflow · Projects, system prompts and knowledge setup · Responsible use, risk and governance basics · Diagnosing and fixing weak results WHO IT'S FOR Anyone sitting the Claude Certified Associate exam, plus anyone using Claude at work who wants the fundamentals in one pass. No prior certification required. #Claude #ClaudeAI #ClaudeCertified #AICertification #AnthropicClaude #PromptEngineering #AIforWork #ExamPrep My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Github: https://github.com/jacinthpaul --------------------------------------------- Website: https://www.programstrategyhq.com/ ---------------------------------------------

Courtesy: pyoderma.hubb

GPT-6 Astra launched September 3, 2026, and OpenAI's president called it the start of the AGI era. So what actually qualifies as AGI — and does Astra clear the bar? OpenAI's own definition: "highly autonomous systems that outperform humans at most economically valuable work." Note what it leaves out — consciousness, understanding, any single test. Five criteria usually invoked: generality, transfer, autonomy, on-the-job learning, agency. Astra scores on most. The one that keeps getting quoted — 99.9% on ARC-AGI-3 — came from a provider-adapter harness. ARC Prize's standard harness put the same model at 62.7%. Same model. Same test. Different scaffolding. Sources: OpenAI, ARC Prize, Axios #AGI #GPT6 #OpenAI #ArtificialIntelligence #AInews