March 14, 2025

🌀 Google brings your search history to Gemini

Plus:

OpenAI takes AI competition to Washington

In partnership with

Hey there, AI enthusiasts. Remember that late-night search for "best tacos near me" last month? Google Gemini can now know what you've been looking for and will use it to personalize your AI experience like never before.

Surprised?

In Today’s AI Daily:

  • Google personalizes Gemini with your Search history
  • Cohere challenges big models with efficient Command A
  • OpenAI pushes for restrictions on Chinese AI models
  • Gaming gets its own specialized AI assistant
  • AI Tools & Prompts
GOOGLE

📱 Gemini gets personal with Search history integration

Image source: Google

What’s up: Google unveiled a significant Gemini upgrade focused on personalization, connecting the AI assistant with users' Search history to deliver tailored responses while making previously premium features available to all users at no cost.

Key notes:

  • New experimental personalization feature uses your Google Search history to customize responses for restaurant, travel, and other recommendations.
  • Deep Research, previously limited to paying customers, is now available for everyone to try a few times monthly.
  • 2.0 Flash Thinking Experimental model adds file upload support and shows its reasoning process in real-time.
  • The app can now coordinate across multiple Google services in a single request (YouTube, Calendar, Maps).
  • Custom Gems feature rolls out to all users 18+, allowing creation of specialized AI experts for specific needs.

Why it matters: This update is a big change in how AI assistants work. Instead of giving the same answers to everyone, Google's AI will now give personalized responses based on what you've searched for before. Since Google has access to so much user search data, they can create a more personalized experience that other companies will find hard to copy. This could change what people expect from AI assistants in the future.

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COHERE

💼 Cohere targets enterprise AI with lightweight Command A model

Image source: Cohere

What’s up: Cohere unveiled Command A, an enterprise-focused AI model that delivers top-tier performance with dramatically reduced compute requirements, challenging the industry assumption that bigger models are always better.

Key notes:

  • The model achieves superior throughput at 156 tokens/second while running on just two A100 or H100 GPUs.
  • Human evaluators preferred Command A over GPT-4o in business and STEM tasks.
  • Excels particularly in multilingual capabilities across 23 languages, outperforming DeepSeek-V3 in all tested languages.
  • Integrates with Cohere's "North" platform for secure enterprise AI agents.
  • Features specialized enhancements for retrieval-augmented generation with verifiable citations.
  • Available now via Cohere's platform and Hugging Face, with cloud provider deployments coming soon.

Why it matters: Command A shows that AI models don't need to be huge to work well. This smaller, more efficient model works just as good as (or better than) bigger ones, while using less computing power. This means more companies can now use powerful AI without spending as much money on expensive computers.

OPENAI

🇨🇳 OpenAI labels DeepSeek "state-controlled," pushes for restrictions

Image source: Getty Images

What’s up: In a major escalation of AI geopolitics, OpenAI is pushing the Trump administration to ban "PRC-produced" models, specifically targeting Chinese AI lab DeepSeek by labeling it "state-subsidized" and "state-controlled.”

Key notes:

  • OpenAI's proposal to the "AI Action Plan" initiative warns of privacy and security risks from DeepSeek's models.
  • The ban would apply to all countries considered "Tier 1" under Biden's export rules.
  • It's unclear if OpenAI targets DeepSeek's API, open models, or both.
  • OpenAI claims these restrictions would prevent "IP theft" and other security risks.
  • Despite the allegations, there's no established direct link between DeepSeek and the Chinese government.

Why it matters: OpenAI is shifting its strategy from competing on technology to asking for government help. Instead of just trying to build better AI, they want regulators to step in and restrict Chinese companies. They're saying it's about protecting national security, not just about who has the better AI. This shows how business competition in AI is getting mixed up with political tensions between the US and China.

WE CHOOSE, YOU EXPLORE

🗞️ What Matters in AI Right Now?

Convergence AI launched DeepWork, a multi-agent coordination system that autonomously manages complex workflows by orchestrating multiple AI agents to achieve user-specified outcomes.

Microsoft revealed Copilot for Gaming, an AI assistant launching first through the Xbox mobile app for Insiders that will provide personalized gameplay assistance without being intrusive.

Nous Research released DeepHermes 24B and 3B Preview models featuring toggleable reasoning capabilities that achieve 4x higher accuracy on hard math problems and 43% improvement on GPQA when reasoning mode is activated.

Allen AI released OLMo 2 32B, the first fully open-source model to outperform GPT-3.5 and GPT-4o mini across multiple benchmarks while using significantly less training compute.

Bolt launched Figma integration allowing users to convert Figma designs into full-stack applications by adding "bolt.new" to any Figma URL and using prompts to define functionality.

Reka AI open-sourced Flash 3, a 21B parameter reasoning model trained from scratch that powers its new Nexus enterprise intelligence platform for creating AI workers

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Source: The AI Daily

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