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- Google Co-Founder Pushes for Office Return to Win AI Race
Google Co-Founder Pushes for Office Return to Win AI Race
DeepSeek Claims Staggering 545% Theoretical Profit Margin on AI Models
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Top story: Google co-founder Sergey Brin has urged employees working on the company's Gemini AI models to increase their office presence and work hours.
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In today’s morning:
👨💼 Google Co-Founder Pushes for Office Return to Win AI Race
🎯 How to Automate Sales with PipeLime AI?
💰 DeepSeek Claims Staggering 545% Theoretical Profit Margin on AI Models
🛠️ New Top AI Tools
🔮 More in the AI’s World
🕒 Estimated Reading Time: 5 minutes
LATEST IN AI

Image source: HRD America
Overview: Google co-founder Sergey Brin has urged employees working on the company's Gemini AI models to increase their office presence and work hours, emphasizing the importance of in-person collaboration in the race to achieve artificial general intelligence (AGI).
Essential Details:
Brin recommends employees be in the office "at least every weekday" to accelerate AI development.
He suggests 60 hours per week as the "sweet spot of productivity" for engineers.
The memo highlights the intensifying competition in AI, with Brin stating "the final race to AGI is afoot".
Brin believes Google has "all the ingredients to win this race" but needs to "turbocharge" its efforts.
He encourages engineers to use Google's own AI tools to boost coding efficiency.
Why It Matters: Brin's push for increased office presence and longer work hours reflects the high stakes in the AI industry. As companies vie for dominance in AGI development, Google's strategy could influence workplace policies and expectations across the tech sector.
TUTORIAL
🎯 How to Automate Sales with PipeLime AI?

Overview: PipeLime AI is an advanced AI-driven sales automation platform that helps businesses streamline lead generation, automate sales outreach, and drive conversions without manual effort.
Step-by-step:
Sign up & Connect CRM – Link PipeLime AI to your preferred sales tools.
Set Lead Criteria – Define industry, location, and target audience.
Enable AI Outreach – Let AI craft and send personalized emails.
Track Engagement – Monitor lead responses and analyze conversion trends.
Refine & Scale – Optimize email content and expand lead targeting.
Pro tip: Use AI insights to adjust outreach timing and messaging for higher response rates.

Image source: Cryptopolitan
Overview: Chinese AI startup DeepSeek has disclosed cost and revenue data for its V3 and R1 models, revealing a theoretical daily cost-profit ratio of up to 545%. However, the company cautions that actual revenues are substantially lower.
Key Details:
DeepSeek estimates daily inference costs of $87,072 for its V3 and R1 models.
Theoretical daily revenue is calculated at $562,027, leading to the 545% profit margin claim.
The company spent less than $6 million on Nvidia H800 chips for model training, far less than U.S. competitors.
Actual revenue is lower due to discounted pricing, free services, and off-peak usage rates.
The revelation has sparked debate about AI profitability and investment strategies.
Why It Matters: DeepSeek's claims challenge assumptions about AI economics and could influence investor perceptions of AI companies globally. The stark contrast between theoretical and actual profits highlights the complex financial landscape of the AI industry.
AI INSIGHTS
AI TOOLS
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Content Lab – AI for repurposing video content.
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China's Honor announces $10 billion investment in AI devices over the next five years, focusing on developing AI for smartphones and other devices.
SoftBank is in talks to borrow $16 billion to fund AI initiatives, signaling major investments in artificial intelligence technology.
Apple's AI efforts reach a critical juncture as Amazon's new Alexa exposes shortcomings in Siri, putting pressure on Apple to improve its AI capabilities.
Chinese authorities are advising top AI entrepreneurs and researchers to avoid traveling to the United States due to security concerns.
DeepSeek, a Chinese AI company, is accelerating the launch of its new AI model following the success of its R1 model in January, intensifying competition in the AI sector.
Thanks for sticking around…
That’s all for now—catch you next time!

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