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  • šŸ¤– NVIDIAā€™s New Family of Reasoning Engines

šŸ¤– NVIDIAā€™s New Family of Reasoning Engines

PLUS: AI, Human Authorship, and Copyright Law.

Welcome back AI enthusiasts!

In todayā€™s Daily Report:

  • āš™ļøNVIDIAā€™s New Family of Reasoning Engines

  • šŸ‘Øā€āš–ļøAI, Human Authorship, and Copyright Law.

  • šŸ› Trending Tools

  • šŸ„ŖBrief Bites

  • šŸ’°Funding Frontlines

  • šŸ’¼Whoā€™s Hiring?

Read Time: 3 minutes

šŸ—žRECENT NEWS

NVIDIA

āš™ļøNVIDIAā€™s New Family of Reasoning Engines

Image Source: YouTube/NVIDIA/ā€œGTC March 2025 Keynote with NVIDIA CEO Jensen Huangā€/Screenshot

NVIDIA released ā€œLlama Nemotron,ā€ a new family of Reasoning Engines designed to help Enterprises deploy Agentic AI.

Key Details:
  • It was built using Llama 3.1 8B, Llama 3.3 70B, and Llama 3.1 405B, open-source AI models developed by Metaā€™s AI Team.

  • It comes in three sizes:

    1. Nano-8B-v1: It was fine-tuned from Llama 3.1 8B to be optimized for deployment on Edge Devices like Smartphones.

    2. Super-49B-v1: It was distilled from Llama 3.3 70B to excel at tackling complex tasks while processing information quickly.

    3. Ultra-249B-v1: It was distilled from Llama 3.1 405B to support the integration of AI Agents across Enterprises at scale.

  • Super-49B-v1 combines the strong reasoning capabilities of ā€œDeepSeek-R1ā€ with the world knowledge of Llama 3.3 70B.

  • It achieved 66% accuracy on the Graduate-Level Google-Proof Q&A (GPQA) benchmark, which includes 448 multiple-choice questions written by domain experts in biology, physics, and chemistry.

Why Itā€™s Important:
  • Super-49B-v1 showcased 20% better accuracy at 5x faster speeds than any other Reasoning Engine thatā€™s currently available.

  • NVIDIA CEO Jensen Huang explained that it beats ā€œDeepSeek-R1ā€ substantially on both accuracy and speed.

šŸšØTry Super-49B-v1 for free here.

AI AND THE LAW

šŸ‘Øā€āš–ļøAI, Human Authorship, and Copyright Law.

Image Source: Canvaā€™s AI Image Generators/Magic Media

Synthetic Media Artist and Developer Stephen Thaler tried to register for copyright a piece of artwork generated by his AI System called the ā€œCreativity Machine.ā€

Key Details:
  • Thaler argued that since he made the AI System that generated the piece of artwork, the copyright of the artwork should be transferred to him.

  • The Copyright Office (CO) denied his application because the artwork lacked human authorship, a prerequisite for a valid copyright.

  • Thaler sued the CO and Shira Perlmutter in her capacity as the Register of Copyrights and the Director of the U.S. CO in the District Court of Columbia.

  • ā€œNothing in the Copyright Act of 1976 requires human creation,ā€ Thaler argued. ā€œIt indicates that when an entityā€”a natural person, a corporation, or a machineā€”generates a creative work, that entity is the author.ā€

  • A Three-Judge Panel for the Court of Appeals for the District of Columbia unanimously agreed with the CO that Thaler couldnā€™t be granted human authorship because developing an AI System that generates the artwork doesnā€™t directly involve him in the creative process enough.

Why Itā€™s Important:
  • The duration of a valid copyright is typically limited to ā€œthe authorā€™s lifespan or how long a human might live,ā€ wrote Judge Patricia Millett. ā€œOf course, machines donā€™t have lives, and the length of their operability isnā€™t measured in the same way as a human life.ā€

  • She explained that accepting Thalerā€™s argument would also raise problematic questions around the idea of a machineā€™s ā€œlifeā€ and ā€œdeath.ā€

šŸ› TRENDING TOOLS

šŸ“ŠMermaid builds complex collaborative diagrams in seconds.

šŸ“ƒEnhancv creates tailored resumes with all the right keywords.

āœØMaxAI chats with any webpage to explain, analyze, and translate.

šŸ”Arc Browser is the Google Chrome replacement youā€™ve been waiting for.

šŸ“†Motion automatically plans your work day to make you 137% more productive.

šŸ”®Browse our always Up-To-Date AI Tools Database.

šŸ„ŖBRIEF BITES

Swiss Startup Inait partnered with Microsoft to develop Adaptive Intelligence with Digital Brains.

Perplexity AI is reportedly in talks to raise up to $1 billion, valuing the AI-Powered Answer Engine at $18 billion.

Google Research proposed ā€œInference-Time Search (ITS),ā€ which focuses on scaling the Search Axis of Test-Time Compute (TTC).

Muse released ā€œMuse S Athena,ā€ an AI-supported wearable that measures brain activity, tracks brain blood flow, and optimizes sleep for peak performance.

šŸ’°FUNDING FRONTLINES

  • Firsthand lands a $26M Series A to offer AI-Powered Brand Agents for Marketers and Publishers.

  • LimitlessCNC raises a $4.1M Seed Round to deploy AI Agents tailored for CAM Programming Bottlenecks.

  • Ceramic.ai secures a $12M Seed Round for Enterprise-Grade AI Infrastructure that delivers 2.5x faster Training Speeds.

šŸ’¼WHOā€™S HIRING?

  • Salesforce (Palo Alto, CA): Full Stack AI Software Engineer Intern, Summer 2025

  • Anthropic (San Francisco, CA): Safeguards Policy Analyst, Entry-Level

  • Tecton (New York, NY): Software Engineer, Batch Data, Mid-Level

  • Workday (Boulder, CO): Principal AI Agent Engineer, Senior-Level

šŸ“’FINAL NOTE

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