OpenAI's Indian Expansion, Meta's Llama 4.5, and Microsoft's Math Marvel - Daily AI Brief #271

September 01, 2025 - Daily AI Brief
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Welcome to today's AI Brief.

OpenAI is planning to establish a data center in India, marking a significant expansion in the region. Meanwhile, Meta is set to launch the Llama 4.5 AI Model by 2025, aiming to enhance its AI capabilities. Microsoft has unveiled the rStar2-Agent, a new tool designed to improve mathematical reasoning.

In other developments, Taco Bell is reassessing its use of AI in drive-throughs, and the CEO of Lovable discussed growth and competition at the recent TechBBQ event. Stay tuned for more updates on these stories and other AI advancements.
OpenAI Plans 1GW Data Centre in India
OpenAI is considering establishing a 1 gigawatt data centre in India as part of its Stargate initiative to expand AI infrastructure in Asia. The company is in discussions with local partners and aims to announce more details during CEO Sam Altman's visit to India in September. Read more
Lovable CEO Discusses Growth and Competition at TechBBQ
At the TechBBQ conference, Lovable CEO Anton Osika discussed the company's growth, reaching over $100 million in annual revenue and a $1.8 billion valuation, while addressing competition in the vibe coding sector. Read more
Taco Bell Reassesses AI in Drive-Throughs
Taco Bell is reevaluating its use of AI for drive-through orders after experiencing mixed results at over 500 locations. The company is considering a flexible approach, allowing franchisees to decide on AI usage. Read more
Meta to Launch Llama 4.5 AI Model by End of 2025
Meta Platforms plans to release its Llama 4.5 AI model by the end of 2025, as part of its efforts through the newly formed Meta Superintelligence Labs. Read more
Microsoft Unveils rStar2-Agent for Math Reasoning
Microsoft has introduced rStar2-Agent, a model with 14 billion parameters aimed at enhancing mathematical reasoning. It utilizes agentic reinforcement learning to improve its reasoning by interacting with a Python execution environment. Read more

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