Claude 4 AI: Coding Genius or Overhyped? We Ran 3 Brutal Graduate-Level Tests

Опубликовано: 12 Июнь 2025
на канале: Engineering Management Academy Dr Mehrdad Arashpour
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Anthropic claims its new Claude AI models (Opus & Sonnet) outperform competitors like Gemini, ChatGPT, Deepseek and Grok. But can Claude 4 handle truly complex, novel reasoning tasks? We put it to the ultimate test with three graduate-level coding challenges to see if its real-world performance matches the benchmarks.

In this video, we evaluate Claude's ability to generate functional, visual, and complex code for applications in project management, astrophysics, and mechatronics. The results might surprise you.

⏰ Timestamps:
0:00 - Claude AI: The Hype vs. Reality
0:54 - Challenge 1: Building an Interactive Project Risk Register Dashboard
2:50 - Challenge 2: Simulating a Spiral Galaxy Collision
4:15 - Challenge 3: Creating a 3D Car Manufacturing Line Simulation
5:56 - The Final Verdict: Claude's Average Score & Analysis

In This Video, We Challenge Claude 4 To:

Build a Project Management Web App: An interactive risk register dashboard in React. This test evaluates its ability to handle data visualization, automatic calculations (risk priority levels), and UI design, including a 5x5 color-coded risk matrix for pre- and post-mitigation scenarios.

Simulate a Cosmic Event: A visual simulation of two spiral galaxies colliding. This advanced challenge gauges its grasp of physics-based animation, particle systems (new star formation), and implementing complex logic like visual flags for core mergers and star destruction.

Replicate an Industrial Process: A 3D simulation of a car manufacturing line. This mechatronics-focused task tests its expertise in generating detailed 3D models, animating multi-joint robotic arms, and programming specific tasks like welding, painting, and assembly.
⚖️ The Verdict ⚖️
After rigorous testing, Claude's overall score for these creative, graduate-level reasoning tasks is 73.3 out of 100. This raises an important question: Are LLMs becoming over-fitted to benchmarks, inflating their perceived capabilities while struggling with truly novel problem-solving? Watch our full analysis to find out.

As an academic and professional in the field, I find these developments in AI fascinating.
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