machine learning

Data Leakage in ML: Why Train-Test Splits Must Come First

Data leakage silently destroys model validity. Learn why preprocessing before splitting contaminates your test set and how to build pipelines that preserve true model performance.

AI security

Prompt Injection Attacks: Critical Security Threat to AI Systems

Prompt injection exploits how LLMs process instructions, enabling attackers to hijack AI behavior. Understanding attack vectors and defenses is essential for secure AI deployment.

OpenAI

OpenAI's GPT-5.3-Codex-Spark Hits 1000 Tokens Per Second

OpenAI releases research preview of GPT-5.3-Codex-Spark, achieving 15x faster inference with over 1000 tokens per second on Cerebras hardware—a major leap in AI coding capabilities.

Anthropic

Anthropic Secures $30B Series G at $380B Valuation

Anthropic raises $30 billion in Series G funding, reaching a $380 billion valuation. The massive investment signals continued confidence in frontier AI development.

deepfakes

EU Launches Formal Investigation Into X Over Grok's Deepfakes

The European Commission opens formal proceedings against X over Grok AI's generation of explicit deepfake images, marking a significant regulatory action under the Digital Services Act.

AI Video Generation

ByteDance Unveils Seedance 2.0 Multimodal Video Generator

ByteDance launches Seedance 2.0, a next-generation AI model that generates video clips from text, images, audio, and video inputs, expanding multimodal capabilities in synthetic media.

differential privacy

Risk-Equalized Privacy: Protecting Outliers in Synthetic Data

New research introduces risk-equalized differentially private synthetic data that protects outliers by controlling record-level influence, addressing critical privacy gaps in AI training data.

Machine Unlearning

Temper-Then-Tilt: A New Framework for AI Model Unlearning

New research introduces a principled approach to removing harmful concepts from generative AI models using tempering and classifier guidance, with major implications for synthetic media safety.

synthetic data

PRISM: Structure-Aware Privacy Budgets for Synthetic Data

New research introduces PRISM, a differentially private synthetic data framework using structure-aware budget allocation to optimize prediction accuracy while maintaining privacy guarantees.

AI Agents

Google's A2A Protocol Enables AI Agent Collaboration at Scale

Google's new Agent2Agent protocol establishes a standard for AI agents to communicate and collaborate across platforms, enabling complex multi-agent workflows for enterprise applications.

ByteDance

ByteDance Developing Custom AI Chips with Samsung

TikTok parent ByteDance is reportedly developing proprietary AI chips and in talks with Samsung for manufacturing, signaling major vertical integration in AI infrastructure.

AI safety

Research Reveals Early Fractures in Agentic AI Oversight Models

New research examines how AI communities are splitting on human control approaches for autonomous agents, finding significant divergence in oversight philosophies that could shape the future of AI governance.