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Mahindra has finally become profitable after 16 years, earning 1 rupee for every rupee spent, with a revenue exceeding 5,100 crores and a profit of around 31 crores. Flipkart plans an IPO within 12 to 15 months, currently valued at 36 billion dollars, after raising over 1 billion this year, including from Google. Adani Group is set to invest 7.5 lakh crores in Rajasthan for renewable energy infrastructure. TSMC reaches 60% yield for its 2nm chips, indicating advanced manufacturing capability. OpenAI is working on AGI while China modifies its monetary policy, impacting global markets reliance on foreign technology.
OpenAI is changing its agreement with Microsoft regarding AGI developments.
TSMC's improved yield for 2nm chips showcases increasing manufacturing capabilities.
The revisions to OpenAI's agreements underlines a significant shift towards monetization in AI development, raising pressing questions about ethical implications and control over emergent technologies. As AGI approaches, it's essential to establish frameworks to manage its deployment, particularly around potential misuse by corporate entities seeking profit over public good.
The growing competition in chip manufacturing, as seen with TSMC's advancements, reflects the increasing demand for efficient AI capabilities. Companies focusing on AI integration are likely to see enriched market valuations, especially with advances in chip technology that elevate processing power while reducing energy consumption.
OpenAI's definition of AGI indicates it does not need to outperform humans in all areas.
Their performance in producing 2nm chips indicates significant advancements in semiconductor technology.
TSMC's collaboration with NVIDIA for AI chip production demonstrates increasing integration of AI in graphics processing.
Their ongoing work towards AGI signifies a pivotal shift in AI capabilities and responsibilities.
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Their advancements in 2nm chip production highlight the drive for more efficient AI processing.
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