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Today’s Topics Are:

- Google’s Veo 2 AI Video Model Priced at 50 Cents Per Second
- Google’s AI Outperforms Math Olympiad Gold Medalists in Geometry

Google’s Veo 2 AI Video Model Priced at 50 Cents Per Second

Quick Summary
Google has quietly revealed the pricing for its AI-powered video generation model, Veo 2. The cost is set at 50 cents per second, translating to $30 per minute or $1,800 per hour. This positions Veo 2 as a high-end AI video tool, competing with OpenAI’s Sora, which is available through a $200 monthly subscription.

Key Points

• Pricing Details: Veo 2 costs 50 cents per second of generated video.

• High Cost Comparison: Producing an hour of video would cost $1,800.

• Marvel Benchmark: “Avengers: Endgame” had a budget of $32,000 per second.

• Limited Scope: Google emphasizes short-form clips rather than full-length films.

• Competitor Pricing: OpenAI’s Sora is bundled with a $200/month ChatGPT Pro plan.

Story
Google’s AI video model, Veo 2, is set to be one of the most expensive AI tools available. At 50 cents per second, the pricing suggests that Google is targeting professional creators rather than casual users. While Veo 2 isn’t expected to replace Hollywood blockbusters, its pricing draws an interesting comparison—Marvel’s “Avengers: Endgame” had a budget of roughly $32,000 per second, making AI-generated content appear relatively affordable in contrast.

Meanwhile, OpenAI’s competing model, Sora, is accessible through a ChatGPT Pro subscription for $200 per month, potentially making it a more cost-effective option for some users.

Conclusion
Google’s Veo 2 enters the AI video space with a premium price tag, signaling a focus on professional users rather than everyday content creators. As AI video generation advances, pricing and accessibility will play a key role in shaping adoption.

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Google’s AI Outperforms Math Olympiad Gold Medalists in Geometry

Quick Summary
Google’s latest AI math system, AlphaGeometry2 (AG2), has surpassed top human competitors in solving geometry problems. Developed by DeepMind, AG2 correctly solved 84% of problems from the International Mathematical Olympiad (IMO), outperforming gold medalists who averaged 81.8%. Unlike traditional AI models, AG2 blends neural language models with symbolic reasoning to tackle complex geometry.

Key Points

• Performance Milestone: AG2 solved 84% of IMO problems, exceeding human gold medalists.

• Hybrid Reasoning Model: Combines neural networks with symbolic logic for advanced problem-solving.

• Comparison with Competitors: Microsoft’s rStar-Math focuses on broader math tasks, while AG2 specializes in geometry.

• Limitations: Struggles with 3D geometry, non-linear equations, and explaining solutions in human language.

• Future Applications: Could impact engineering, robotics, and pharmaceutical research.

Story
Google’s DeepMind has made a significant leap in AI-powered mathematical reasoning with AlphaGeometry2, an advanced system designed to solve complex geometry problems more effectively than top human competitors. The system relies on a hybrid model, where a neural language component suggests geometric constructions, and a symbolic engine tests and refines them. This enables AG2 to approach problem-solving similarly to human mathematicians, rather than merely recognizing patterns.

Despite its impressive performance, AG2 still has limitations. It struggles with the hardest 3D problems and lacks the ability to explain its reasoning in a way that humans can understand. Scientists caution against viewing AG2 as a step toward artificial general intelligence (AGI), emphasizing that human intelligence involves creativity and original thought beyond pure computation.

Conclusion
While AG2 marks a breakthrough in AI-driven mathematical reasoning, it remains a specialized tool rather than a true AGI. However, its advancements could pave the way for AI applications in engineering, robotics, and scientific research. Future improvements aim to enhance problem-solving capabilities and expand the system’s range of mathematical understanding.

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