Christian Rebernik’s Post

Exploring the Power of String Matching Algorithms! As a computer science educator, I believe it's essential to delve into foundational algorithms like Knuth-Morris-Pratt and Boyer-Moore, which are used for everything from web search optimization to detecting plagiarism and even DNA matching. Understanding these algorithms enhances problem-solving skills and builds a deeper appreciation for efficient coding practices. For all the learners and fellow professionals; keep pushing the boundaries of what you can achieve with the right tools and knowledge! #AlgorithmDesign #StringMatching #EfficiencyInCoding #TechLearning #CSEEducation #Innovators #ProblemSolving

New Model Drop Alert! OpenAI just announced o1—a new series of AI models designed to spend more time thinking before they respond. These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. OpenAI o1 thinks before it answers and can produce a long internal chain-of-thought before responding to the user. o1 ranks in the 89th percentile on competitive programming questions, places among the top 500 students in the US in a qualifier for the USA Math Olympiad, and exceeds human PhD-level accuracy on a benchmark of physics, biology, and chemistry problems. It can solve complex logic puzzles, translate corrupted sentences, and even code a video game from just a prompt. And yes, also count the number of r’s in strawberry. One of those “Feeling the AGI” moments?

🚀 Thrilled to Share My Learning Journey in AI! 🚀 I recently completed the course "Artificial Intelligence using Prolog Programming", where I explored AI concepts through the logic programming language Prolog. This experience has enhanced my understanding of knowledge representation, reasoning, and the power of symbolic AI. Thank you to the course instructors for making complex topics accessible and engaging! Excited to bring these insights into future projects and further explore the world of AI. #ArtificialIntelligence #Prolog #AIProgramming #LogicProgramming #Achievement #TechLearning

Mastering efficient programming for AI hardware is crucial for unlocking its full potential. MIT professor Jonathan Ragan-Kelley is leading the charge with his expertise in high-performance programming languages and machine learning. His research focuses on adapting coding and compiler techniques to optimize for increasingly complex hardware, allowing for faster and more efficient AI applications. But how can we strike a balance between control and automation in programming for AI? Share your thoughts! — Hi, 👋🏼 my name is Doug, I love AI, and I post content to keep you up to date with the latest AI news. Follow and ♻️ repost to share the information! #aihardware #programminglanguages #machinelearning

OpenAI's new o1 model ranked in the 89th percentile on competitive programming questions. It even placed among the top 500 students in the USA Math Olympiad qualifier (AIME). The model scored 93% in comparison to 12% score from GPT-4o. o1 thinks before it answers. It produces a long internal chain of thought, just like humans do when tackling complex problems. This isn't just about solving equations faster. It's about AI developing true reasoning capabilities. Here is my simple 😀 test for o1

🎉 Proud to announce another achievement! 🎉 I have successfully completed the "Computational Theory: Language Principle & Finite Automata Theory" course, gaining valuable insights into the foundations of language processing and automata theory. 📘 This course has deepened my understanding of finite automata, language principles, and theoretical computation, which are fundamental to computer science and programming language design. Thankful for this opportunity to enhance my skills and knowledge! 🌟 Looking forward to applying these principles in future projects and challenges! #FiniteAutomata #ComputationalTheory #LanguagePrinciple #ComputerScience #LearningJourney #Tech

OpenAI o1 thinks before it answers and can produce a long internal chain-of-thought before responding to the user. o1 ranks in the 89th percentile on competitive programming questions, places among the top 500 students in the US in a qualifier for the USA Math Olympiad, and exceeds human PhD-level accuracy on a benchmark of physics, biology, and chemistry problems. It's high time to rethink our educational system.Rather than clinging to outdated foundations, we should focus on elevating humanity by integrating AI into learning and developing forward-thinking minds. It's not just about preparing students for exams but empowering them to shape the future. This is where the educational models like HASH FUTURE SCHOOL are going to lead the way .

🚀 Unlocking the Power of Merge Sort! Today, I explored Merge Sort, one of the most efficient sorting algorithms. I’m fascinated by its "divide and conquer" approach—breaking down problems, solving them step-by-step, and then merging everything together for optimal speed and efficiency ⚡. It’s a great reminder of how algorithms can transform problem-solving. Excited to keep learning and improving my coding skills! #TechJourney #MergeSort #Algorithms #ProblemSolving #ComputerScience #GrowthMindset

OpenAI Strawberry 🍓 (O1) is out🚀 Good to finally see LLMs think before answering😎 Some Highlights of OpenAI O1: 🔹 Coding Mastery: O1 ranks in the 89th percentile on competitive programming platforms like Codeforces, showcasing exceptional problem-solving skills. 🔹 Mathematical Excellence: It places among the top 500 students in the US qualifier for the USA Math Olympiad (AIME), demonstrating strong mathematical capabilities. 🔹 PhD-Level Precision: O1 exceeds human accuracy on benchmarks across physics, biology, and chemistry (GPQA), making it a valuable tool for advanced academic and research purposes. #OpenAI #AI #MachineLearning #Coding #Mathematics #Research #Innovation