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OpenAI’s Plan to Crush Rivals
They Wants 100M GPUs
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AI Inspirational Quote
AI OpenAI 1M GPU Plan to Crush Rivals
Social Media
Turn Text Into Posters Instantly
AI Wins Math Gold (Beating Top Humans)
How AI Takeover Could Happen in 2 Years: A Scenario
Top Rated AI Tools
Byte Sized news
AI INSPIRATIONAL QUOTE
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LATEST NEWS
AI OpenAI 1M GPU Plan to Crush Rivals

OpenAI Aims to Surpass 1 Million GPUs by 2025, Setting a New Benchmark in AI Compute Power
Sam Altman, CEO of OpenAI, has announced that the company will expand its computing capacity to over 1 million GPUs by the end of 2025, a staggering figure that quadruples the GPU power of Elon Musk’s xAI (which relies on Nvidia’s H100 chips).
OpenAI’s 1 million GPU target dwarfs competitors, making it the largest AI compute infrastructure in the world.
Altman humorously challenged his team to 100x this number, hinting at even more ambitious long-term goals.
The company is already overcoming global GPU shortages, which previously delayed the release of GPT-4.5.
This expansion isn’t just about raw power, it’s a strategic leap toward AGI (Artificial General Intelligence). With partnerships like Microsoft Azure and Oracle, and explorations into Google’s TPUs, OpenAI is building the backbone for next-gen AI. Altman’s vision, eventually reaching 100 million GPUs (worth ~$3 trillion).
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Social Media
Sitcoms that don't exist
But I wish they were real.
1. Lord of the Rings: 🧵
— Allen T. (@Mr_AllenT)
3:17 PM • Jul 21, 2025
Turn Text Into Posters Instantly
AI Wins Math Gold (Beating Top Humans)

Google's Gemini Deep Think Wins Gold at 2025 International Math Olympiad
Google’s advanced AI model, Gemini Deep Think, has achieved a gold-medal-level performance at the 2025 International Mathematical Olympiad (IMO), solving 5 out of 6 problems, a milestone officially confirmed by the competition’s organizers.
Natural Language Understanding: Unlike previous AI systems, Gemini Deep Think solved problems in natural language without requiring human translation into code, working within the 4.5-hour time limit just like human contestants.
Breakthrough Architecture: Its "Deep Think" approach uses parallel reasoning, exploring multiple solution paths simultaneously before selecting the best one, a leap beyond traditional linear AI reasoning.
Creative Problem-Solving: In one case, it found an elegantly simple solution using basic number theory, while human competitors relied on a far more complex graduate-level theorem.
While Gemini stumbled on the hardest problem (solved by only 5 humans), its overall performance marks a major leap in AI’s mathematical reasoning. Google plans to release this model first to trusted testers, including mathematicians, before rolling it out to Google AI Ultra subscribers.
Continue Reading…
How AI Takeover Could Happen in 2 Years: A Scenario
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