OpenAI Submits Policy Proposal to White House Suggesting Federal Protection for AI Companies

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Google's Gemini AI Now Personalizes Responses Using Your Search History - Google's Gemini AI chatbot can now tailor its answers based on your search history, offering personalized recommendations and insights. [The Verge].

Alibaba Launches AI Agent App to Compete with Rivals - Alibaba has introduced a new AI agent application, aiming to stay competitive in the rapidly evolving AI market. [Bloomberg].

OLMo 2 32B: Open Model Surpasses GPT-3.5 Performance - The Allen Institute's OLMo 2 32B, a fully open-source model, outperforms GPT-3.5 and GPT-4o mini on various benchmarks. [Allen Institute for AI].

Google and Anthropic in Talks with Snowflake, Databricks on AI Data Security - Google and Anthropic are discussing AI data security collaborations with Snowflake and Databricks. [The Information].

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Trump Family Engaged in Deal Talks with Binance Post Crypto Exchange's Guilty Plea - The Trump family has been in discussions with Binance following the crypto exchange's recent legal issues. [The Wall Street Journal].

MoonPay Acquires Stablecoin Infrastructure Firm Iron for Over $100 Million - MoonPay has purchased Iron, a stablecoin infrastructure company, in a deal exceeding $100 million. [The Block].

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Meta Begins Testing Community Notes on Facebook, Instagram, and Threads - Meta is testing Community Notes, allowing users to add context to posts across its platforms. [Meta].

Meta's Community Notes Program Launched to Address Flagged Content - Meta introduces Community Notes to manage flagged content without limiting distribution. [Fox News].

🔬 Research

Insilico Medicine Secures $110 Million for AI-Driven Drug Discovery - Insilico Medicine has raised $110 million to advance AI-enabled drug discovery efforts. [MobiHealthNews].

⚖ Legal

OpenAI Requests Federal Relief from State AI Regulations - OpenAI has petitioned the White House for relief from varying state-level AI regulations. [Bloomberg].

Google Proposes Changes to Copyright and Export Rules in AI Policy - Google suggests modifications to copyright and export regulations in its new AI policy proposal. [TechCrunch].

🎱 Random

Google Simplifies Porting PC Games to Android - Google introduces tools to make it easier for developers to port PC games to Android platforms. [Android Authority].

🔌 Plug-Into-This

OpenAI's Proposals for the U.S. AI Action Plan

OpenAI has submitted recommendations to the White House Office of Science and Technology Policy (OSTP) for the U.S. AI Action Plan. The proposals call for federal policies that would override state-level AI regulations, limit export restrictions on AI technology, and ensure AI companies can continue using copyrighted content for training.

• Regulatory Strategy: OpenAI urges the federal government to prevent individual states from enacting AI regulations that could restrict AI companies. The proposal argues that inconsistent state laws could disadvantage U.S. firms globally and suggests a nationwide framework that prioritizes industry interests.

• Export Control Strategy: OpenAI recommends limiting restrictions on AI exports to allow U.S. companies to dominate global markets. At the same time, it suggests revising certain export controls to prevent AI models from being acquired by geopolitical rivals.

• Copyright Strategy: The proposals advocate for AI models to retain the ability to train on copyrighted material without requiring licensing agreements. OpenAI argues that imposing stricter copyright rules could hinder AI development and put U.S. companies at a disadvantage.

• Infrastructure Development: The recommendations call for federal investment in AI-related infrastructure, including computing power and workforce training. OpenAI frames this as a way to strengthen U.S. industrial competitiveness while ensuring AI companies have access to necessary resources.

• Government Adoption: OpenAI encourages the federal government to integrate AI into public administration and national security efforts. The proposals suggest that government adoption of AI could set an example for broader AI deployment across industries.

👀 This one will be interesting to watch. OpenAI is essentially asking the Trump administration to go against some of the core principles it ran on (reducing the size of the federal government) in order to protect the nascent AI industry, which Trump has stated is a top priority for the US to lead worldwide. It’s notable that Google basically asked for the same protection shortly after.

New Copilot for Gaming Aims to Save You Time, Help You Get Good

Microsoft has announced 'Copilot for Gaming,' an AI-driven assistant designed to enhance the gaming experience by providing personalized support and guidance to players.

• Personalized Game Recommendations: Copilot suggests new games tailored to individual preferences, helping players discover titles aligned with their interests.

• Progress Recaps: The assistant offers summaries of previous gameplay sessions, enabling players to quickly recall their in-game progress and objectives.

• In-Game Assistance: Copilot provides real-time tips and strategies during gameplay. For example, in Overwatch 2, it can analyze mistakes and recommend hero selections; in Minecraft, it assists with crafting queries and locating materials.

• Multi-Device Integration: Initially available through the Xbox mobile app, Copilot is designed to function as a companion on a second screen, with plans to expand to multiple devices in the future.

• User Feedback and Development: An early preview of Copilot will be available to Xbox Insiders in April, allowing Microsoft to refine the feature based on user input before a broader release.

🎮 Microsoft's introduction of Copilot for Gaming reflects a broader industry trend toward integrating AI to enhance user experiences, signaling a shift in how players interact with games and receive support.

Cohere Targets Global Enterprises with New Highly Multilingual Command A Model Requiring Only 2 GPUs

Cohere has introduced 'Command A,' a generative AI model designed to enhance enterprise applications by offering extensive multilingual support and improved computational efficiency.

• Multilingual Capabilities: Command A supports a wide array of languages, enabling global enterprises to implement AI solutions that cater to diverse linguistic needs.

• Enhanced Context Length: The model boasts a context length of up to 256,000 tokens, allowing it to process and generate responses based on extensive textual information, which is particularly beneficial for complex business documents and interactions.

• Computational Efficiency: Designed for optimal performance, Command A operates effectively using just two GPUs, making it a cost-effective solution for enterprises seeking to integrate advanced AI capabilities without significant hardware investments.

• Enterprise Integration: Building upon the foundation laid by its predecessors, Command A is tailored for seamless integration into various enterprise applications, focusing on retrieval-augmented generation (RAG) and external tool utilization to enhance knowledge retrieval and operational efficiency.

• Competitive Positioning: With its advanced features and resource efficiency, Command A positions itself as a viable alternative to other prominent models in the market, aiming to meet the evolving needs of businesses in sectors such as finance, healthcare, and law.

🤖 The introduction of Command A underscores a growing trend in the AI industry toward developing models that are not only powerful and versatile but also optimized for efficiency, enabling broader accessibility and practical application across various enterprise environments.

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