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Just a short while ago, these AIs struggled to perform even the only tasks in programming competitions. Today, nonetheless, they’re reaching impressive heights that demand our attention and consideration.

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Code Competition Codeforces Bans AI

Within the evolving landscape of programming competitions, the web platform Codeforces has made a big decision to ban AI-generated code from its contests. This move is a response to the advanced capabilities of AI models like GPT, Gemini, Gemma, Llama, and Claude, which have been impacting the normal dynamics of those competitions.

The Details:

• Recent Rule Implemented: Codeforces bans AI code to preserve human-centric competition integrity.

• AI’s Impressive Performance: OpenAI’s o1 model demonstrates superior coding capabilities, achieving high scores and nearly reaching “Master” level in live contests.

• Enforcement Challenges: The platform faces hurdles in ensuring compliance with the brand new rule, relying heavily on the honesty of participants.

• Preserving Competition Spirit: Unlike other mind sports, ensuring fair play in anonymous online coding contests is especially difficult.

Why It Matters:

The choice by Codeforces to exclude AI from coding competitions underscores a broader societal challenge: balancing technological advancement with the preservation of human skills and integrity.

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NEW THINGS

Google’s Recent AI Robot Can Tie Shoes

Google DeepMind’s latest research advancements are pushing the boundaries of robot dexterity, specializing in enabling robots to perform complex, highly dexterous tasks which might be commonplace for humans but difficult for machines. This includes two modern AI systems, ALOHA Unleashed and DemoStart, that are set to revolutionize how robots interact with physical environments.

The Details:

• Advanced Dexterity in Robotics: ALOHA Unleashed enhances bi-arm robot capabilities for intricate tasks like tying shoelaces or hanging shirts.

• Simulation to Real-World Transfer: DemoStart leverages simulation learning to enhance real-world robotic performance, achieving high success rates in complex tasks.

• Progressive Learning Techniques: Each systems utilize cutting-edge learning methods that significantly reduce the necessity for extensive real-world training data.

Why It Matters:

The implications of those advancements extend beyond mere technical feats, offering a glimpse right into a future where AI-powered robots could seamlessly integrate into our day by day lives, enhancing productivity and handling tasks which might be either too mundane, dangerous, or intricate for humans.

QUICK HEATS

• UBS Group AG has launched an AI tool that may analyze over 300,000 firms in under 30 seconds to help clients with potential M&A deals.

• Big tech firms invested $105 billion in data centers for AI in 2023, raising concerns about energy consumption and its environmental impact.

• AMD has announced that FidelityFX Super Resolution 4.0 will transition to pure AI upscaling technology.

• Around 120 employees from top AI firms support California’s SB 1047, which proposes recent regulations and whistleblower protections for AI developers.

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• 💡 MimicPC immediately runs Stable Diffusion and Flux online. (Featured)

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