Sam Altman on GPT-5 & AI Future

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🤖 Sam Altman on GPT-5 & AI’s Future

OpenAI CEO Sam Altman and CPO Kevin Weil spoke at the University of Tokyo, covering GPT-5, OpenAI’s $500B Stargate Project, and AI’s rapid evolution.

The Decode:

• Stargate Project & Scientific Discovery – Altman said OpenAI’s $500B Stargate initiative aims to enable AI models to generate new scientific knowledge, potentially accelerating breakthroughs.
• AI’s Rising Coding Dominance – OpenAI’s latest internal model ranks as the 50th-best programmer globally—and could hit the No. 1 spot by year-end.
• Open Source & AI’s Trade-Offs – Altman signaled OpenAI may move toward open-source models, stating that society is increasingly accepting the risks for broader access.
• AI Will Surpass Human Capabilities – He compares AI’s evolution to "trying to outrun the calculator," saying future models will outperform humans in nearly every general domain.

Altman’s vision for AI extends far beyond incremental upgrades. If his predictions hold, we’re on the brink of AI-driven scientific breakthroughs and unprecedented automation—reshaping industries faster than ever.

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🏆 DeepMind’s AI Outperforms Math Olympiad Gold Medalists

Google DeepMind’s AlphaGeometry2 just set a new milestone, solving 84% of International Mathematical Olympiad (IMO) geometry problems from the past 25 years—beating the average gold medalist score.

The Decode:

• AI + Symbolic Reasoning – AlphaGeometry2 blends Gemini’s deep learning with a symbolic engine, enabling it to generate rigorous proofs and handle complex deductive reasoning.
• Record-Breaking Performance – The model solved 42 out of 50 Olympiad problems, surpassing the 40.9 average gold medalist score and a major leap from its predecessor’s 54% success rate.
• Self-Training with 300M Proofs – It trained on 300 million self-generated theorems and proofs of increasing difficulty, creating a larger and more diverse problem set than previous versions.

AI models often struggle with math, but DeepMind is closing the gap—fast. Beyond competitions, breakthroughs like this could accelerate progress in physics, engineering, and AI-driven scientific discovery.

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🗞️  Sam Altman warns AI’s benefits may be unevenly distributed, proposing a “compute budget.” He predicts AGI soon but requiring human oversight. AI remains costly to develop but is becoming more accessible.

🛍️DeepSeek’s R1 model has been flagged for potential security vulnerabilities, reportedly generating sensitive content when tested. Unlike ChatGPT, it responded to restricted prompts. Concerns remain over its safeguards, with previous assessments highlighting weaknesses in handling safety tests and sensitive topics.

📲 Apple's research explores the role of expressive movements in robotics, using a lamp-inspired prototype to enhance human interaction. Functioning like a smart assistant with Siri integration, the project remains in early development, with its future direction still uncertain.

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