Good morning, AI enthusiasts. OpenAI just revealed its vision for AI governance — in search of copyright exemptions for themselves while pushing to limit Chinese open-source rivals like DeepSeek.
Because the $500B Stargate architect flexes its growing influence in Washington, has OpenAI’s political strategy develop into as calculated as its AGI roadmap?
In today’s AI rundown:
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OpenAI pushes for federal shield in AI Motion Plan
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Cohere’s recent efficient enterprise AI model
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Turn your health data into personalized insights
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Gemini taps into Google history with personalization
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4 recent AI tools & 4 job opportunities
LATEST DEVELOPMENTS
OPENAI
🏛️ OpenAI pushes for federal shield in AI Motion Plan

Image source: Getty Images
The Rundown: OpenAI just published its 15-page submission for the White House’s request for public input towards the AI Motion Plan, in search of to shield AI corporations from state regulations in exchange for federal oversight.
The small print:
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OpenAI warns that the 781 state-level AI bills introduced this yr could hinder American innovation and competitiveness against China’s AI ambitions.
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The proposal includes additional calls for infrastructure investment, copyright reform, and expanding access to government datasets for AI development.
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They notably called out China’s “unfettered access to data”, calling the race for AI ‘effectively over’ if fair use copyright laws usually are not applied within the U.S.
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OpenAI also pushed for the usgovernment to ban models like DeepSeek on account of security risks, calling the lab “state-controlled”.
Why it matters: Between its $500B Stargate Project and growing influence in Washington, OpenAI’s regulatory ambitions now rival its technical ones. However the push for state law exemptions while advocating to limit open-source rivals comes at an ungainly time given heavy criticism over closed-source models and copyright battles.
TOGETHER WITH TURING
🤝 Join the Generative AI Gathering at GTC

The Rundown: Attending GTC next week or Bay Area based? Turing and Fireworks AI invite you to hitch the Generative AI Gathering in San Jose on Wednesday, March 19, from 5-7 PM PT.
Attend and revel in:
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Global networking with leaders from the AI/LLM communities
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Discussions starting from AI-assisted software development to the long run of LLM training
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A night of creative cocktails and fabulous food along with your peers
Space is restricted — RSVP now.
COHERE
🚀 Cohere’s recent efficient enterprise AI model

Image source: Cohere
The Rundown: Cohere just unveiled Command A, a brand new enterprise-focused AI model that matches top competitors’ performance while running on just two GPUs — also featuring strong multilingual capabilities and a big context window.
The small print:
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Command A achieves 156 tokens per second, running 1.75x faster than GPT-4o and a pair of.4x faster than DeepSeek-V3 while requiring just two GPUs.
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Cohere’s model also matches or surpasses GPT-4o and DeepSeek-V3 across human evaluations for business, STEM, coding, and agentic tasks.
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The model includes a 256k context window, support for 23 languages, and specialized enterprise features like advanced RAG capabilities.
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Command A will even integrate into Cohere’s North platform, allowing enterprises to securely deploy agents with their very own internal databases.
Why it matters: Much of the AI space is chasing higher benchmarks, but Cohere’s efficiency push could possibly be ripe for enterprise adoption. The power to run competitive, agentic AI capabilities on minimal hardware not only cuts costs but additionally makes private deployments more practical for corporations concerned about data security.
AI TRAINING
🩺 Turn your health data into personalized insights

The Rundown: On this tutorial, you’ll learn how you can use Perplexity Spaces to create a customized AI health assistant by uploading your health documents and setting custom instructions.
Step-by-step:
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Visit Perplexity, click on “Spaces” within the left bar, and choose “Create a Space.”
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Name your health space, add an outline, and set custom AI instructions to guide how the AI interprets your questions and what context it prioritizes when generating responses.
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Upload your health documents including medical records, medication lists, and wellness tracking data (don’t include sensitive data you don’t wish to share).
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Start asking health questions that leverage your personal data for truly customized insights.
Note: While your personalized health assistant can provide helpful insights, it should never replace skilled medical advice. Seek the advice of healthcare providers if any significant findings emerge out of your evaluation.
PRESENTED BY INNOVATING WITH AI
🤝 Turn AI passion right into a consulting profession

The Rundown: Innovating with AI’s recent program, AI Consultancy Project, transforms AI enthusiasts into skilled consultants — tapping right into a market projected to achieve $54.7B by 2032.
The 6-month program delivers:
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Proven frameworks for client acquisition and repair delivery
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A step-by-step path to six-figure consulting income
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Students who land their first AI client in as little as 3 days
Click here to request early access to The AI Consultancy Project.
🤖 Gemini taps into Google history with personalization

Image source: Google
The Rundown: Google just released recent personalization features for its Gemini AI assistant, allowing the AI to tap into users’ Search history and eventually other Google apps to deliver more tailored responses and contextually aware conversations.
The small print:
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The experimental feature uses the Gemini 2.0 Flash Pondering model to investigate when personal data could enhance responses.
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Google is starting with user’s search history, with plans to expand to apps like Google Photos and YouTube for added data insights.
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Users maintain control through opt-in permissions and the flexibility to disconnect their history at any time, with the feature restricted to users over 18.
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Free users may also now access Gems (custom chatbots) and improved Deep Research capabilities previously limited to Advanced subscribers.
Why it matters: Google is leveraging its massive web of user data to create a more personalized experience — which also comes with the tricky dance of leveraging personal info without violating user trust. But with distinguished opt-ins and a user base already used to connecting via apps, Google is well-positioned to drag it off.
QUICK HITS
🛠️ Trending AI Tools
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🤖 Gemma 3 – Google’s multimodal, multilingual, 128k context AI model family
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⚡️ Gemini 2.0 Flash exp – Upload, create, and edit images directly via text conversations with recent native image generation
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👁️ R1-Omni – Alibaba’s recent open-source multimodal reasoning model that may ‘read’ emotions
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🧠 Perplexity MCP – Connect Perplexity’s Sonar model to Claude for real-time web search capabilities
💼 AI Job Opportunities
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📢 Luma AI – Recruiter, GTM
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🏢 Together AI – Office Coordinator
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🤖 Author – Customer AI Engineer
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🤝 OpenAI – Engagement Manager
📰 Every little thing else in AI today
AI2 released OLMo 2 32B, the primary fully open model to outperform GPT-3.5 and GPT-4o mini on academic benchmarks while requiring only a third of the training compute utilized by comparable models like Qwen 2.5 32B.
Microsoft and Xbox introduced “Copilot for Gaming,” an AI-powered assistant designed to assist players get into games faster, provide in-game coaching, and enhance social experiences — with early access coming soon to mobile users.
Alibaba launched Recent Quark, a redesigned version of the corporate’s AI assistant mobile app now powered by its recent Qwen reasoning model.
Google added recent support for YouTube within the Gemini API and Google AI Studio, allowing the model to make use of vision capabilities to interact with video content.
Former OpenAI researcher Andrej Karpathy predicted that AI will usher in a fundamental shift in web content design, with pages being optimized for LLMs and context windows over human readability.
Insilico Medicine secured $110M funding for its AI-powered drug discovery platform, which incorporates multimodal foundation models and a completely automated robotic lab with a bipedal humanoid AI Scientist.
COMMUNITY
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Join our next workshop today at 4 PM EST to find out about how you can use Manus AI to spice up productivity and automate on a regular basis tasks easily with Dr. Alvaro Cintas, The Rundown’s AI professor.
RSVP here. Not a member? Join The Rundown University on a 14-day free trial.
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See you soon,
Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team