Google DeepMind evealed a major leap in AI reasoning.
Their internal model, “Aletheia,” built on Gemini Deep Think, is moving beyond Olympiad math into real-world scientific research. It reportedly scores up to 90% on IMO-ProofBench Advanced, tackles PhD-level problems, and applies scalable reasoning across domains.
But this isn’t just benchmark performance.
“Aletheia” has:
• Autonomously solved open mathematical problems including four from the Erd艖s database
• Contributed to publishable research papers
• Worked on challenges in algorithms, economics, ML optimization, and even cosmic string physics
Just 2.5 years ago, chatbots struggled with basic arithmetic. Now, we’re seeing AI operate as a scientific collaborator. This signals something bigger than better math skills.
We’re entering a new phase of the scientific workflow where AI acts as a force multiplier for human intellect:
• Handling large-scale knowledge retrieval
• Performing rigorous verification
• Stress-testing proof
Their internal model, “Aletheia,” built on Gemini Deep Think, is moving beyond Olympiad math into real-world scientific research. It reportedly scores up to 90% on IMO-ProofBench Advanced, tackles PhD-level problems, and applies scalable reasoning across domains.
But this isn’t just benchmark performance.
“Aletheia” has:
• Autonomously solved open mathematical problems including four from the Erd艖s database
• Contributed to publishable research papers
• Worked on challenges in algorithms, economics, ML optimization, and even cosmic string physics
Just 2.5 years ago, chatbots struggled with basic arithmetic. Now, we’re seeing AI operate as a scientific collaborator. This signals something bigger than better math skills.
We’re entering a new phase of the scientific workflow where AI acts as a force multiplier for human intellect:
• Handling large-scale knowledge retrieval
• Performing rigorous verification
• Stress-testing proof
馃摙Google DeepMind evealed a major leap in AI reasoning.
Their internal model, “Aletheia,” built on Gemini Deep Think, is moving beyond Olympiad math into real-world scientific research. It reportedly scores up to 90% on IMO-ProofBench Advanced, tackles PhD-level problems, and applies scalable reasoning across domains.
But this isn’t just benchmark performance.
“Aletheia” has:
• Autonomously solved open mathematical problems including four from the Erd艖s database
• Contributed to publishable research papers
• Worked on challenges in algorithms, economics, ML optimization, and even cosmic string physics
Just 2.5 years ago, chatbots struggled with basic arithmetic. Now, we’re seeing AI operate as a scientific collaborator. This signals something bigger than better math skills.
We’re entering a new phase of the scientific workflow where AI acts as a force multiplier for human intellect:
• Handling large-scale knowledge retrieval
• Performing rigorous verification
• Stress-testing proof
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