AI News — Thursday, April 30, 2026

Sources indicate that Anthropic is poised to raise a new $50 billion funding round, potentially valuing the AI company at an astonishing $900 billion.

OpenAI outlines its strategic vision for building the necessary compute infrastructure to support the coming 'Intelligence Age,' emphasizing massive scaling and efficiency.

This paper introduces Recursive Multi-Agent Systems, a novel framework enabling agents to recursively delegate tasks to sub-agents, significantly enhancing complex problem-solving capabilities.

New research proposes a test-driven data engineering approach to enable self-improving LLMs by systematically refining training data from raw corpora.

OpenAI publishes its perspective on the evolving cybersecurity landscape, highlighting the unique challenges and necessary safeguards in an era dominated by advanced AI.

Amazon's cloud division is experiencing substantial growth, leading to a significant increase in capital expenditure to meet rising demand for its services.

DV-World introduces a new benchmark for evaluating data visualization agents in real-world scenarios, assessing their ability to generate accurate and insightful visualizations.

AutoResearchBench is presented as a new benchmark designed to evaluate AI agents on complex scientific literature discovery tasks, pushing the boundaries of autonomous research.

Google marks two decades of Google Translate by sharing fun facts, usage tips, and announcing new features to enhance its widely used language translation service.

Meta-CoT proposes a new method to improve the granularity and generalization capabilities of AI models in image editing tasks, offering more precise and versatile control.

This paper introduces 'Refinement via Regeneration,' a technique that enlarges the modification space to significantly boost image refinement capabilities in unified multimodal AI models.

A practical guide offers insights into structuring a FastAPI backend to effectively integrate Large Language Model features, based on a real-world project implementation.

A team shares their success story of leveraging AI tools like Claude and Kollabe MCP to automate and effectively eliminate the need for manual daily standup meetings.

New research investigates why fine-tuning often leads to increased hallucinations in LLMs and proposes methods to mitigate this critical issue.

Triton, a high-performance language for AI kernels, now officially supports Huawei Ascend processors, enabling more efficient AI model development on the platform.