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Artificial intelligence
Evaluate where AI is useful, understand the systems behind it, and make informed choices about models, data, and deployment.
186 articles · Page 12 of 16
OpenAI Closes $122B Round at $852B Valuation, Then Buys Its First Media Company
OpenAI closes $122B at $852B valuation, then acquires TBPN media—revealing strategy to control AI narrative beyond model building.
Anthropic Accidentally Leaks Claude Code's Entire Source Code via npm
A misconfigured npm package exposed 512,000 lines of Claude Code's source—revealing system prompts, KAIROS daemon, and unreleased features.
Google's TurboQuant: What 6x Memory Compression Means for AI at Every Scale
Google's TurboQuant achieves 6x KV cache compression with zero accuracy loss and 8x H100 speedups, enabling longer contexts on consumer hardware.
OpenAI's Path to Autonomous AI Researchers: Interns by September, Full Automation by 2028
OpenAI targets an AI research intern by September 2026 and a fully autonomous researcher by 2028, backed by Prism and hundreds of thousands of GPUs.
Meta Launches AI Agents That Run Ad Campaigns End-to-End
Meta's AI agents automate campaign creation, targeting, creative, and optimization—the biggest shift in paid social automation since programmatic buying.
Claude Dispatch Lets You Assign Work From Your Phone and Come Back to It Done
Anthropic Dispatch lets you send tasks to Claude agents running on your desktop from anywhere—no command line or server needed.
GPT-5.4 Mini and Nano: OpenAI's Models for the Subagent Era
OpenAI launches GPT-5.4 Mini and Nano — two small models with near-flagship performance designed as building blocks for multi-agent AI pipelines.
Gemini 3 Flash: Google's Best Coding Model Isn't Its Most Powerful One
Gemini 3 Flash: 78% SWE-bench outperforms Gemini 3 Pro on coding. Fastest, cheapest model optimized for agentic coding and multimodal reasoning.
Anthropic's March Updates: Partner Network, 1M Context, and Double Usage
Anthropic debuts $100M Partner Network, rolls out 1M-token context at standard pricing, and doubles usage limits in a coordinated enterprise push.
NVIDIA Nemotron 3 Super: The Open Model Built for Multi-Agent Systems
Nemotron 3 Super: 120B open model blending Mamba and Transformer, with 4x memory efficiency, 1M token context, and 7.5x throughput advantage.
Anthropic's Claude Code Review: AI-Generated Code Reviewed by AI
Multi-agent code review for Claude Code: filters false positives, ranks bugs by severity, automates GitHub PR feedback with structured inline comments.
Google Open-Sources Always On Memory Agent: Ditching Vector Databases for LLM-Driven Persistence
Always On Memory Agent: open-source reference implementation for persistent agent memory without vector databases. LLM-driven memory consolidation.