This guy is great: https://lnkd.in/dp3yARm4 🚀 LLMs as Autocorrect on Steroids—But Let’s Be Real 🚀 LLMs are like autocorrect on steroids: they predict what you’re likely to write and extrapolate from there. But here’s the thing: they’re not smart—they’re just good at pattern matching. 📌 The Balance: Helpful Tools, Not Replacements: LLMs can catch obvious bugs (e.g., syntax errors, memory leaks) and assist with boilerplate code—great for speeding up workflows. Human Oversight Still Matters: Complex logic, security vulnerabilities, and architectural decisions require human judgment. AI isn’t replacing us—it’s amplifying our capabilities. 💡 The Risk of Hallucination: LLMs do hallucinate. They make stuff up if not properly guided. That’s why we need to treat them as tools, not replacements. Use them to flag edge cases (“This pattern doesn’t match the standard—are you sure?”), but don’t trust them to write mission-critical code without review. 🎯 My Take: I’ve always been an optimist—but I’m also cautious. LLMs are a powerful tool, but they’re not a silver bullet. If we use them wisely, they’ll help us focus on what matters: solving real problems at the hardware level. #AIInDev #CodeReview #LLMs #KernelDevelopment #LowLevelProgramming #TechEthics

No more endless Googling. No more “Why won’t this run?” moments... → Write clean code faster → Get instant fixes for errors → Discover smarter ways to solve problems Why is it different? → Because it’s built on MATLAB’s own documentation and examples, making it far more precise than generic AI tools. → No guessing. No vague answers. Just solutions that work in MATLAB. What’s the first MATLAB task you’d hand over to your Copilot? Drop your answer below 👇 #MATLAB #Engineering #Productivity #Innovation

This morning, I had the chance to attend Nextmv’s webinar “What to Know About Practicing Operations Research and Decision Science in Industry” with Ryan O'Neil and Thiago Serra. I really enjoyed how both speakers shared their journeys from software engineering into optimization and how they see the field evolving. One point that stuck with me was Ryan O'Neil’s reminder that companies don’t care about mathematical perfection, instead, they care about repeatable, understandable decisions that actually help people make better choices. Thiago Serra’s advice to stay grounded in linear algebra, statistics, and programming was exactly what I needed to hear as a student learning to connect theory and practice. Feeling inspired to keep growing both my technical and communication skills. #UCDavisMSBA #Analytics #Optimization #NextMv

Dive into a new book that bridges the gap between theory and real-world application. MATLAB: From Fundamentals to Artificial Intelligence by #INESCTEC researcher Filipe Azevedo is here to equip you with practical knowledge. 💡 💻 Master new programming techniques 🧠 Tackle complex AI challenges 😊 Build smarter, more efficient solutions Ready to level up your skills?✨ 🔗 https://lnkd.in/dQmnB5eN #AI #Programming #SoftwareEngineering #MachineLearning #TechBook #RealWorldAI #Developer #ArtificialIntelligence #TechNews

Every developer should know how to think in prompts — it’s the new programming language of the AI era. Prompt engineering isn’t just about asking questions; it’s about designing thought processes for machines. It’s incredible how words can shape intelligence, creativity, and problem-solving. 🌐✨ #ArtificialIntelligence #PromptEngineering #FutureOfTech

🚀 Day 90 of #100DaysOfCode DSA: 📘 Solved - Taking Maximum Energy From the Mystic Dungeon ➡️ Learned how to use Dynamic Programming (DP) efficiently to maximize the total energy collected from paths. It really helped me strengthen my understanding of bottom-up DP and state transition logic. Machine Learning: 📊 Started learning Linear Regression ➡️ Understood how ML models try to find the best fit line between dependent and independent variables. ➡️ Learned key steps like hypothesis function, cost function (MSE), and gradient descent in simple terms. 💡 Key Takeaway: “Small consistent steps build a strong foundation — whether it’s DP or ML fundamentals.” #100DaysOfCode #LeetCode #MachineLearning #LinearRegression #CodingJourney #BitByBitBuilder

🚀 Boosting My Productivity with Comet Browser! As an engineering student specializing in data science, Comet browser has become an essential part of my workflow—making research, technical projects, and browsing so much smarter. 1. Tabbed Research: Comet’s tab grouping helps me organize scientific papers, coding docs, and project resources for multiple assignments with ease. 2. Integrated Web Search: The instant search integration lets me debug Python and MATLAB errors right when they happen, saving me precious time. 3. Academic Productivity: Jumping between Google Docs, Overleaf, and Colab is seamless with Comet, especially for writing papers and running experiments. 4. Job & Research Tracking: Tracking job applications, prepping for interviews, or doing literature reviews—Comet keeps every tool one click away. 5. Community Power: Finding solutions via forums, Stack Overflow, and tutorials is a breeze when all tabs are in order and search is lightning-fast. Comet has truly optimized my day-to-day workflow as a student, coder, and researcher. Major kudos to the team Perplexity for building such a smart, intuitive, and student-friendly browserIf you’re a fellow techie, student, or researcher, I'd highly recommend trying it out! #Productivity #CometBrowser #StudentLife #DataScience #AcademicResearch #Perplexity

A minimal visual Turing Machine simulator built with Pygame. Increment and decrement operators are unary operators that increase or decrease their operand by one. They are commonly found in imperative programming languages. C-like languages feature two versions (pre and post) of each operator with slightly different semantics. Repository: https://lnkd.in/ddsHKm_G

👉 Want to learn what's new in MATLAB? From a refreshed desktop layout to new ways to manage figures and enhance live scripts, these updates are designed to help you work more efficiently. Learn more ➡️ https://spr.ly/6047AU0Uh #AI #mathworks