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Google Celebrates Official Gold Medal Triumph at IMO
AI-driven breakthroughs shine at the International Math Olympiad, marking a new milestone in tech excellence.

Welcome, AI Creators!
Google celebrates its official gold medal win at the International Math Olympiad, showcasing AI's growing problem-solving capabilities. Alibaba’s Qwen3 takes the lead in open-source AI, setting a new benchmark for performance. Meanwhile, a brain-inspired model pushes the boundaries of machine reasoning with human-like logic.
Today’s Highlights
Google Celebrates Official Gold Medal Triumph at IMO
Alibaba’s Qwen3 Crowned King of Open-Source AI
AI Model Mimics Brain’s Hierarchical Reasoning Abilities
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Trending Topics and Viral Highlights
AI is proving its brilliance beyond labs and into the real world. Google-backed AI models just bagged an official gold at the prestigious International Math Olympiad — a space traditionally dominated by top human minds. The gap between human logic and machine intelligence just got thinner.
Who actually earned the IMO Gold?
Both Google DeepMind’s advanced Gemini and OpenAI’s unreleased reasoning-LLM produced gold-medal-level scores (35/42 points) on the 2025 International Mathematical Olympiad (IMO) problems, but...
— machine learning (@Mlearning_ai)
9:15 PM • Jul 21, 2025
🔍 What’s Happening?
Google-supported AI wins gold at the IMO
Tackles complex mathematical problems with speed and precision
Reinforces AI’s evolving role in academic and cognitive excellence
💡 Key Highlights
✅ AI is no longer just assisting — it’s competing and winning
✅ Mathematical reasoning by machines is reaching elite levels
✅ A milestone moment in AI + education + problem-solving
🔥 Why It Matters
AI’s gold win shows it's capable of competing with the best human minds in analytical thinking. As machines become more capable, collaboration between AI and education will reshape how we approach learning and logic.
The open-source AI race has a new champion. Alibaba’s Qwen3 has surged ahead, claiming the top spot in performance, accessibility, and adoption. It’s not just about building powerful models — it’s about sharing them with the world.
Wait so Alibaba Qwen has just released ANOTHER model??
Qwen3-Coder is simply one of the best coding model we've ever seen.
→ Still 100% open source
→ Up to 1M context window 🔥
→ 35B active parameters
→ Same performance as Sonnet 4They're releasing a CLI tool as well ↓
— Paul Couvert (@itsPaulAi)
9:20 PM • Jul 22, 2025
🔍 What’s Happening?
Qwen3 outperforms major open-source LLMs in recent benchmarks
Gains strong adoption from developers and researchers
Demonstrates China’s growing presence in AI innovation
💡 Key Highlights
✅ Qwen3 proves open-source AI can rival top proprietary models
✅ Community-driven innovation is alive and thriving
✅ China is rising as a key player in global AI leadership
🔥 Why It Matters
Open-source is the foundation of inclusive innovation. Qwen3’s rise shows that world-class AI doesn’t have to be locked behind paywalls — it can be open, powerful, and community-powered.
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AI is learning to think more like us. A new brain-inspired hierarchical reasoning model is helping machines break down complex problems the way humans do — in layers, with logic and abstraction. This fusion of cognitive science and artificial intelligence is a major leap forward.
Hierarchical Reasoning Model (HRM) just re-wired what “small but smart” looks like in AI.
Sapient’s Hierarchical Reasoning Model (HRM) shows you can out think huge transformers with a 27 M parameter network on only 1 k examples per task.
What makes HRM different
• Two
— Mukund Gupta (@MukundGupta05)
7:02 PM • Jul 22, 2025
🔍 What’s Happening?
A new AI model mimics human hierarchical reasoning
Breaks problems into structured, layered steps like the brain
Improves logical flow, abstraction, and decision-making in machines
💡 Key Highlights
✅ Brings AI closer to human-like thinking and planning
✅ Combines neuroscience and machine learning innovation
✅ Helps AI tackle real-world tasks more efficiently
🔥 Why It Matters
Reasoning is the heart of intelligence. As AI models become better at layered, human-like thought, we inch closer to truly intelligent systems — capable of making smart, context-aware decisions.
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