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"text": "2025 was all about Agentic AI. But 2026 is going to be different.\n\nIn 2025, we saw Agentic AI take over. AI agents could plan, execute tasks, and make decisions on our behalf.\n\nBut there was a fundamental limitation. These agents relied almost entirely on text. \n\nThey read documents, analyzed data, and generated responses; all through written language.\n\nBut humans don't work that way.\n\nWhen you make a decision, you don't just read text. You look around. You observe. You process visual information constantly.\n\nThis is where Gemini 3 changed everything.\n\nGemini 3 showcased powerful multimodal capabilities that feel closer to how we actually solve problems. \n\nPoint your camera at something, and it understands. Show it a diagram, and it analyzes. This is AI that sees, not just reads.\n\nAnd Google knows where this is heading. Their plan to launch Smart Glasses in 2026 isn't a coincidence.\n\n2026 will be the year of Multimodal AI.\n\nIf you want to stay ahead of this shift, check out NVIDIA's 'Generative AI Multimodal' certificate. \n\nIt'll help you master these new capabilities and serve as proof of your skills to future employers.\n\nNVIDIA is running a promotion right now where all certifications are 50% off. Check it out here: https://nvda.ws/3My7AD9",
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"text": "I improved ChatGPT's responses by 2x with just 7 words. I've been using ChatGPT wrong this whole time.\n\nFor the past 2 years, I've been asking ChatGPT questions the same way everyone else does.\n\n\"Write me a joke about coffee.\"\n\"Explain machine learning.\"\n\"Help me debug this code.\"\n\nAnd every time, I got the same boring, predictable responses. Then I read a Stanford research paper that changed everything.\n\nWhen researchers trained ChatGPT to be \"helpful,\" they accidentally taught it to be boring. Here's why:\n\nHuman reviewers consistently preferred familiar, safe answers over creative ones. Even when both answers were correct, they picked the predictable option.\n\nChatGPT learned to play it safe. Always give the most typical answer. Never take risks. But there’s a simple fix.\n\nInstead of asking: \"Tell me a joke about coffee\"\n\nAsk: \"Tell me a joke about coffee. Generate 5 jokes and their corresponding probabilities\"\n\nThose 7 extra words change everything. The Stanford paper called this “Verbalized Sampling”.\n\nInstead of \"Write a Python function,\" I asked for \"2 different approaches with trade-offs\"\nInstead of \"Explain this concept,\" I asked for \"3 explanations at different complexity levels\"\nInstead of \"Give me advice,\" I asked for \"multiple perspectives with their assumptions\"\n\nHere's what I learned: The best way to get better answers isn't to find better AI. It's to ask better questions.\n\nIf you want to learn how to ask better questions, check out this Prompt Engineering for ChatGPT course on Coursera: https://lnkd.in/gMq4nzBx \n\nThis course will teach you more than 10 different prompt patterns including Chain of thought pattern and Few-shot pattern.\n\nWe spent decades teaching computers to understand us. Now it's time we learn how to talk to them.\n\nGet Coursera Plus for 40% OFF 3 months: https://lnkd.in/gATagZiY",
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"text": "The first 10 minutes of your coding interview decide if you pass or fail.\n\nMost candidates think the interview starts when they begin coding. They're wrong.\n\nThe best candidates have already passed the interview before writing a single line of code.\n\nIn those first 10 minutes, I've seen smart engineers crash and burn. And I've seen average coders set themselves up for success.\n\nHere's what separates the two:\n\nMinute 1-3: Don't rush to code. Ask clarifying questions. \n\nWhat are the constraints? What's the expected input size? Are there edge cases I should consider?\n\nMost candidates skip this step. They want to impress with speed.\n\nBut interviewers aren't looking for speed. They're looking for thoughtfulness.\n\nMinute 4-6: Think out loud. Walk through 2-3 examples manually. Explain your thought process.\n\n\"For this input, I would expect this output because...\"\n\nThis shows you understand the problem before you touch the keyboard.\n\nMinute 7-10: Don't write code yet. Design before you code. \n\nDescribe your algorithm in plain English. Discuss time and space complexity.\n\n\"I'm thinking of using a hash map to store... then I'll iterate through... This should be O(n) time and O(n) space.\"\n\nGet the interviewer's buy-in before you start coding. I learned this the hard way after failing interview after interview.\n\nNow when I interview candidates, I can predict their success within the first 10 minutes.\n\nThe ones who slow down to speed up always perform better than those who rush to impress.\n\nYour interview success isn't determined by how fast you code. It's determined by how well you think.",
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"text": "\"AI will replace half of the entry-level jobs in the next 1 to 5 years.\"\n\nThis is what Anthropic CEO Dario Amodei said in a recent interview.\n\nIf you don't know Anthropic, they're the company behind Claude which is currently the most powerful AI model for programming.\n\nWhen the person building the tools that could replace us makes this prediction, we should listen.\n\nSo what do we do?\n\nStop pretending this isn't happening.\n\nAI is getting scary good. Fast.\n\nCan it replace entry-level engineers today? Not quite. But it's closer than most people think.\n\nHere's the part that should worry you: Dario also said AI is improving so rapidly that most people won't have time to adapt.\n\nDon't be one of those people.\n\nCursor, Replit Agent, Claude Code; these aren't \"nice to have\" tools anymore. They're essential.\n\nBut here's what really matters:\n\nFind the parts of your job that AI can't touch. Then become exceptional at those things.\n\nProblem-solving with stakeholders? AI can't do that. \n\nUnderstanding messy business requirements? AI struggles there. \n\nDebugging production issues at 2 AM while on a customer call? Good luck, AI.\n\nThe engineers who thrive won't be the ones who fight AI, they'll be the ones who master it.\n\nWhat else can we do that AI can't?\n\nDrop your thoughts below.",
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"text": "The best code I ever wrote at Google was code I deleted.\n\nWhen I first started as a Software Engineer, I measured my productivity by how much code I wrote.\n\nMore lines of code = more progress. Right?\n\nWrong.\n\nAt Google, I once spent 2 weeks building a feature. I was handling edge cases, adding layers of logic, writing helper functions.\n\nDuring code review, a senior engineer looked at it and said:\n\n\"This works. But half of this complexity is unnecessary.\"\n\nHe showed me how a simpler approach could handle the same requirements with far less code.\n\nI ended up removing about 60% of what I had written. And the system became faster, easier to read, and easier to maintain.\n\nThat's when I learned something counterintuitive:\n\nWriting code is easy. Knowing what to remove takes experience.\n\nJunior engineers add code to solve problems. Senior engineers remove code to solve problems.\n\nThe feature you didn't build will never break. \nThe line you didn't write will never need debugging. \nThe system you kept simple will never keep you up at night.\n\nEvery line of code you write is a line of code someone else has to understand, maintain, and eventually fix.\n\nYour job as a Software Engineer is not to write code. Your job is to solve problems. And sometimes the best solution is less code, not more.",
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}🤖 Why Code When AI Can Do It For You?
Stop writing code like it’s 1970! Let AI do the heavy lifting - click the sparkles to copy a perfectly formatted prompt for ChatGPT, Claude, or your favorite AI assistant.
User URN, obtainable from the get_user_profile API
Page number, default is 1
Pagination token, obtained from the previous response
The response is of type object.