Replit Launches Agent 3, Its Most Autonomous AI Developer Yet - Replit introduces Agent 3, a next-generation autonomous coding agent capable of 200 minutes of continuous work, alongside securing $250M in new funding.

OpenAI Signs $300B Cloud Deal With Oracle, One of the Largest Ever - OpenAI committed to $300 billion in Oracle cloud spending, requiring 4.5 gigawatts of power capacity — equivalent to two Hoover Dams — over five years. For years, OpenAI relied exclusively on Microsoft Azure for compute. But with supply shortages constraining AI training and product rollouts, the company was recently allowed to seek other providers.

Sen. Ted Cruz Proposes AI Policy Framework and SANDBOX Act - Sen. Ted Cruz introduces the SANDBOX Act, a bill to create a regulatory sandbox for AI developers, as part of a broader policy framework for U.S. AI leadership.

Adobe Launches AI Agents to Transform Customer Experience Orchestration - Adobe announced the general availability of AI agents, powered by the Adobe Experience Platform, to help businesses orchestrate customer experiences, optimize marketing, and unlock productivity.




In Other News:

Defeating Nondeterminism in LLM Inference - New research from Murati's Thinking Machines shows that large language models can give different answers even when randomness is turned off, making results hard to reproduce. This happens because GPUs process numbers in parallel, and the order of operations can change depending on workload, leading to tiny variations that snowball into different outputs. Researchers at Thinking Machines solved this by redesigning key operations to be batch-invariant, ensuring outputs are identical every time. This breakthrough improves reliability, benchmarking, and training methods, giving businesses and researchers more predictable AI systems.

New RSL Standard Aims to Automate AI Content Licensing and Compensation - A coalition of publishers and tech companies — including Reddit, Yahoo, Quora, O’Reilly Media, and Medium — have launched the Really Simple Licensing (RSL) Standard and the nonprofit RSL Collective to set rules for how AI crawlers and agents use online content. Built on the legacy of RSS, the RSL protocol adds a machine-readable licensing layer to the web, enabling models to compensate creators through models like pay-per-crawl or pay-per-inference. The initiative aims to ensure fair compensation for millions of publishers while providing AI firms a standardized way to license data.

FTC launches inquiry into AI chatbot companions from Meta, OpenAI, and others - The federal regulator seeks to learn how these companies are evaluating the safety and monetization of chatbot companions, how they try to limit negative impacts on children and teens, and if parents are made aware of potential risks.

Go to Gumloop and find the "Reddit Insights Generator" template — all nodes are pre-configured, just customize your inputs

Enter parameters such as the Subreddit name (e.g., apps), topic of interest (e.g., mobile app for calorie tracking), and timeframe. Then click Run.

Gumloop pulls top posts, comments, and opinions, then organizes everything into clear patterns and sentiment analysis

Review the output: You'll get a subreddit summary, real examples with context, and sentiment data showing if the market is excited, frustrated, or indifferent

Analyze patterns like why people build certain apps, common feature complaints, and community response to new launches

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