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  • šŸ¤– OpenAI Uses Games to Improve AI Models

šŸ¤– OpenAI Uses Games to Improve AI Models

PLUS: Americaā€™s ā€œManhattan Projectsā€ for AI Military, Mistral AI Releases Codestral Mamba

Welcome back AI enthusiasts!

In todayā€™s AI Report:

  • šŸ•¹OpenAI Uses Games to Improve AI Models

  • šŸ‡ŗšŸ‡øAmericaā€™s ā€œManhattan Projectsā€ for AI Military

  • šŸMistral AI Releases Codestral Mamba

  • šŸ› 5 Trending Tools

  • šŸ’°Venture Capital Updates

  • šŸ’¼Whoā€™s Hiring?

Read Time: 3 minutes

šŸ—žRECENT NEWS

OPENAI

šŸ•¹OpenAI Uses Games to Improve AI Models

Image Source: Canva AI Image Generator

OpenAI revealed a new algorithm called ā€œProof-Verifier Gamesā€ to help advanced language models like ChatGPTā€™s GPT-4 explain themselves better.

Key Details:
  • ā€œProof-Verifier Gamesā€ trains advanced language models to generate outputs that are easier to understand and verify.

  • Hereā€™s a breakdown of how ā€œProof-Verifier Gamesā€ works:

    • Prover {Player One}: The advanced language model trying to generate solutions like answering questions or solving problems.

      1. Helpful Prover: Tries to generate correct solutions.

      2. Sneaky Prover: Tries to generate incorrect solutions to fool the verifier.

    • Verifier {Player Two}: An AI model that checks the proverā€™s solutions for accuracy.

  • The Helpful Prover {Player One} learns to generate solutions that arenā€™t only correct but also clear and well-explained.

  • The Verifier {Player Two} gets better at spotting both correct and incorrect solutions.

Why Itā€™s Important:
  • Advanced Language models like ChatGPTā€™s GPT-4 are great at generating the correct answer, but their solutions can be cryptic or hard to follow.

  • ā€œProof-Verifier Gamesā€ force advanced language models to consider understandability alongside correctness.

AI AND POLITICS

šŸ‡ŗšŸ‡øAmericaā€™s ā€œManhattan Projectsā€ for AI Military

Image Source: Gage Skidmore/Flickr/ā€œAn Address to Young Americansā€

Allies of former U.S. President Donald Trump reportedly drafted plans to create ā€œManhattan Projectsā€ for developing and deploying AI-centric military operations.

Key Details:
  • The documents include a ā€œMake America First in AIā€ section that calls for ā€œManhattan Projectsā€ to advance AI military applications.

  • It also proposes creating ā€œindustry-ledā€ agencies to evaluate AI models and protect AI systems from foreign adversaries.

  • The plans would immediately review and eliminate ā€œburdensome regulationsā€ on AI developments in the private sector.

  • The plans state, ā€œWeā€™ll repeal President Joe Bidenā€™s dangerous Executive Order on Safe, Secure, and Trustworthy AI that hinders AI innovation.ā€

  • Ohio Senator J.D. Vance was recently named as Trumpā€™s running mate. He previously indicated support for open-source AI developments and hands-off regulation.

Why Itā€™s Important:
  • Given how quickly AI is accelerating, itā€™s not surprising that itā€™s turned into a political issue.

  • Trumpā€™s Camp favors looser regulations to prevent stifling the American economyā€™s growth engine. They vocally support open-source AI developments: the public release of underlying code that can be copied and altered to create new technology.

  • Bidenā€™s Cabinet supports a slower, safety-focused approach that involves government oversight, industry regulations, and monitoring unlawful discrimination to fuel antitrust actions.

AI RESEARCH

šŸMistral AI Releases Codestral Mamba

Mistral AI released Codestral Mamba and Mathstral, specialized Large Language Models (LLMs) that excel at code generation and solving mathematical problems.

Codestral Mamba focuses on code generation and is designed to be a local code assistant for developers.

Codestral Mamba can handle context lengths up to 256K tokens, making it ideal for large, complex coding tasks or local development projects.

Mathstral focuses on solving mathematical problems and aims to tackle complex, multi-step reasoning problems.

Mathstral achieved state-of-the-art performance on math reasoning benchmarks like MATH {56.6%} and MMLU {63.47%}.

šŸ› TRENDING TOOLS

šŸŽØDesigner creates stunning designs on the go.

šŸ—£KapKap is an AI-based lip-sync video generator.

šŸ‘£Bigfoot discovers amazing experiences in your city.

šŸŽ“Otio is an AI reasoning and writing partner for students.

šŸ“¦Didero automates your supply chain workflows to streamline operational efficiency.

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

šŸ’°VENTURE CAPITAL UPDATES

  • IconicAI secures a $4M Pre-Seed for AI game development.

  • Vectara raises a $25M Series A for enterprise Retrieval-Augmented Generation (RAG) applications.

  • Deepfake-detecting firm Pindrop lands a $100M Five-Year Loan to detect AI-generated content.

šŸ’¼WHOā€™S HIRING?

  • Leidos (Oceanside, CA): Software Engineer Intern, Summer 2025

  • Akuna Capital (Chicago, IL): Software Engineer Intern, C++, Summer 2025

  • Wells Fargo (Irving, TX): 2025 Technology Summer Intern, Early Careers, Software or Data Engineer

  • Persona (San Francisco, CA): Junior Software Engineer, New Grad

  • Waymo (San Francisco, CA): Systems Test Engineer, Motion Control

šŸ¤–PROMPT OF THE DAY

MARKETING

šŸ“¬Email Marketing Campaigns

Imagine youā€™re crafting an email campaign for [Business] with [Product/Service] in [Industry] aimed at [Target Audience].

Outline the key elements of your campaign strategy, including the target audience segmentation, compelling subject lines, content structure (e.g., promotional offers, feature highlights, or testimonials), and the desired Call-To-Action (CTA).

Business = [Insert Here]

Product/Service = [Insert Here]

Industry = [Insert Here]

Target Audience = [Insert Here]

šŸ“’FINAL NOTE

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