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OpenAI Unveils Codex - Fully Agentic Coding | Self-Improving AI is here... (Alpha Evolve) | AGI

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In this video, we dive into the groundbreaking advancements in AI-powered coding agents from two tech giants: OpenAI's Codex and DeepMind's AlphaEvolve.

🔹 OpenAI Codex is the model behind GitHub Copilot, capable of turning natural language into functional code. We explore how Codex was trained on public code repositories and understand its role in democratizing software development by making coding accessible to everyone.

🔹 DeepMind AlphaEvolve, powered by Gemini, takes a different path. It uses evolutionary self-play and reinforcement learning to autonomously develop advanced algorithms—without human-written training data. Discover how this cutting-edge agent learns to design and optimize code from scratch through simulated competition and evolution.

👉 What happens when language-based coding (Codex) meets self-evolving algorithm design (AlphaEvolve)? We compare their core technologies, goals, and implications for the future of software engineering.

📌 Recourses:
1) https://openai.com/index/introducing-...
2) https://deepmind.google/discover/blog...

💬 Drop your thoughts in the comments:
Which approach do you think will dominate the future of coding—language models or evolutionary AI?


#aiagents #copilot #vscode #ainews #aitools #coding #ai #coding #fullstackdevelopment #opensourceai #gpt4 #googlegemini


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Disclaimer:
The content in this video is for informational and educational purposes only. All opinions expressed are my own. I am not a licensed professional, and this video should not be considered professional advice. Performance benchmarks are based on specific tests and may not reflect all use cases. Always do your own research and consult with a qualified expert where necessary.
Use the information provided at your own risk.
Some links or products mentioned may be affiliate links, which means I may earn a small commission at no extra cost to you. Thank you for your support!

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