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In this episode of AI Sparks, we explore DeepSeekMath-V2, a new AI model trained not just to solve hard math problems, but to actually verify and improve its own proofs.
We break down how “solver”, “verifier”, and “meta-verifier” roles work together, why final answers aren’t enough, and what self-verifiable AI could mean for science, coding, and real-world decision-making – in simple, non-technical language.
Perfect for anyone curious about where AI reasoning is heading next.
• #AISparksPodcast
• #ArtificialIntelligence
• #GenerativeAI
• #AIResearch
• #AgenticAI
• #DeepSeekMath
• #MathReasoning
• #TheoremProving
• #SelfVerifiableAI
• #LLMs
• #FutureOfAI
By Praveen GovindarajIn this episode of AI Sparks, we explore DeepSeekMath-V2, a new AI model trained not just to solve hard math problems, but to actually verify and improve its own proofs.
We break down how “solver”, “verifier”, and “meta-verifier” roles work together, why final answers aren’t enough, and what self-verifiable AI could mean for science, coding, and real-world decision-making – in simple, non-technical language.
Perfect for anyone curious about where AI reasoning is heading next.
• #AISparksPodcast
• #ArtificialIntelligence
• #GenerativeAI
• #AIResearch
• #AgenticAI
• #DeepSeekMath
• #MathReasoning
• #TheoremProving
• #SelfVerifiableAI
• #LLMs
• #FutureOfAI