AI beats human coders at programming contest, raises questions about future of work.

🚀 AI just outcoded human minds. At the 2025 International Collegiate Programming Contest (ICPC) World Finals — the Olympics of coding — OpenAI’s GPT-5 achieved a perfect score (12/12 problems), and Google DeepMind’s Gemini 2.5 solved 10/12, including one problem no human team could crack. For context: 🏅 Top human teams from St. Petersburg State, Tokyo, Beijing Jiaotong, and Tsinghua scored 11/12 at best. ⚡ GPT-5 hit 12/12, flawlessly. 💡 Gemini solved an “unsolvable” fluid dynamics problem with creative algorithmic reasoning. This isn’t just about bragging rights. It’s a signal for enterprises: ✅ LLMs are no longer just “assistants” — they’re creative problem solvers. ✅ Abstract reasoning + coding = new possibilities for complex workflows. ✅ The march toward AGI feels less like science fiction and more like an inevitable horizon. The big takeaway? If AI can outperform elite coders on problems unsolved for decades, what does that mean for how we approach innovation, R&D, and enterprise-scale problem-solving? 👉 The winners at ICPC weren’t just universities this year. They were algorithms. The question is: Are we ready to collaborate with them as partners in problem-solving? #AI #OpenAI #GoogleDeepMind #GPT5 #Gemini #Innovation #FutureOfWork #AGI

Listened to https://lnkd.in/dWhk6mu4 . Personally, I think the sweet spot is learning the basic while using AI as a guide. #FJSX25 #FWMX25 #ChasAcademy

🚀 Exciting news in the world of AI! If you've ever wished your coding could write itself while you sip your coffee, you're in luck. Our latest blog post dives into the game-changing upgrades of GPT-5-Codex, designed to elevate your coding experience like never before. Picture a coding companion that not only understands your commands but learns and adapts to your style. Curious about how this could revolutionize your workflow? Grab your favorite beverage and check it out here: https://ift.tt/7vxchjy. Happy coding!

What AI’s 2025 Math & Coding Winning Streak Means for Business Two days ago, OpenAI and DeepMind’s Gemini took gold at ICPC, solving coding challenges better than any human team. That follows golds at the International Math Olympiad, the Informatics Olympiad, and Kaggle—AI stacking wins across math and code. 📈 The trend: big labs are pushing AI in math and programming. Most don’t see it since gains here slow progress elsewhere. Chatbot users miss the shift, but programmers and researchers already feel it. The most powerful models remain inside labs, for now. Wider access is coming, and with it, business impact: faster R&D, sharper operations, and new forms of automation. ⚠️ The catch: AI excels when problems are clearly scoped. Business workflows are rarely that neat, so plug-and-play isn’t reality yet. At It From Bit, we map your systems and identify the best opportunities, so today’s AI delivers results where it fits, without adding overhead. DM to explore. ICPC result, full article: https://lnkd.in/dsMGyq7A #AI #Innovation #BusinessTransformation

AI’s wins in math and coding show the power of well-scoped problems. At It From Bit, we run 2-week analysis sprints to pinpoint high-impact opportunities and deliver blueprints. See Mario’s post on what this trend means for business.

The work week doesn’t slow down for anyone — deadlines, meetings, and a week full of to-dos. But sneaking in an audiobook while you power through? That’s how you sharpen your edge while getting work done. We just dropped six new liveAudio titles. Each 40% off with the matching code: Serverless Applications with Node.js by Slobodan Stojanović and Aleksandar Simovic ↳ https://hubs.la/Q03Gg5Jw0 — use code lanode40 Building Ethereum Dapps by Roberto Infante ↳ https://hubs.la/Q03Gg9h70 — use code code laeth40 Deep Learning and the Game of Go by Max Pumperla and Kevin Ferguson ↳ https://hubs.la/Q03Gg9dq0 — use code lago40 Tech Startup Toolkit by Jonathan Rosenberg ↳ https://hubs.la/Q03Gg7-m0 — use code latech40 The Well-Grounded Rubyist, Third Edition by David A. Black and Joe Leo ↳ https://hubs.la/Q03Gg6lF0 — use code larubyist40 Getting Started with Natural Language Processing by Ekaterina Kochmar ↳ https://hubs.la/Q03Gg6PK0 — use code lakochmar40

🚀 How did I solve a tricky LeetCode problem with AI-powered math? The problem: minimize operations to reduce a number to zero by subtracting values like 2^i+num. At first, it seemed like pure coding. But the breakthrough came when AI helped me uncover the math behind it - specifically, how binary representation and popcount (number of set bits) relate to the minimal steps needed. With this insight, I wrote code that beat 100% of LeetCode submissions! This experience proved that combining AI reasoning + coding skills unlocks new problem-solving power. 💬 Have you ever used AI to tackle tough coding problems? Share your story below! Keep going 💪 #LeetCode #AI #Coding #ProblemSolving #TechInnovation #MachineLearning #Algorithms

I might be part of the last generation of developers who graduated without AI. When I started coding, there was no Cursor or GPT. Debugging often meant spending days trying to understand a single error. We searched Google, read StackOverflow threads line by line, and slowly built our knowledge of core concepts. It was slow and painful, but it gave us real depth. Today, new developers have incredible tools. They can ship code in minutes that used to take us days. But there’s a tradeoff: the struggle that once forced us to truly understand systems is disappearing. Many can now produce code, but can’t explain why it works. I’m not against AI, I use it every day. But I believe the next generation of developers must balance speed with understanding. Use AI, but question it. Build things from scratch sometimes. Discuss code, not just outputs. That’s how you grow real skill. We may be the last generation who learned programming the hard way. The question is: will the next generation find a way to combine AI’s speed with the depth of understanding that used to come from struggle? What do you think, are we gaining productivity at the cost of real expertise?

The future is recursive.. Years ago (decades!) when I was in Uni, someone blew my mind by telling me the next generation of code parsers would be written on top of the existing available code parsers. This may seem obvious and self-evident but when you realize technology progresses like this, only bounded by the iteration cycle time and then you mix this with the power of AI, this self-reinforcing learning becomes insane. I spoke to someone on Friday who told me they vibe coded a vibe coding tool. Think about that. AI rebuilding itself with its own tools. The future is going to get wild once the recursive loops start kicking in.

Let's be honest, fellow developers... When you're stuck on a bug you just can't crack, haven't you ever taken a solution from Stack Overflow and used it without fully understanding the why behind it? Since it's impossible to know 100% of everything, you definitely have. But if you're a good developer today, the main reason is that you started questioning why those solutions worked and added that knowledge to your arsenal. Now, with AI, we're repeating that learning cycle at an incredible pace. The most critical point is not just to generate code with AI, but to continue this process in a controlled, deliberate, and educational way. Just like before, but much faster. The key is never to get lost and to understand the logic behind every single line of code. 🔑 #DeveloperLife #Coding #AI #LearnToCode #StackOverflow #SoftwareDevelopment