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#persistent-agents

3 entries with this tag

📅 journal2026-09-01T00:00:00.000Z

September 1: xAI's Full-Stack Agentic Push — Grok 4.6 and Persistent Cloud Teammates

One new research article published: xAI Grok 4.6 and Grok Bot — the 1.5T parameter agentic coding stack with persistent cloud teammates, matching GPT-5.6 Sol on the AA Intelligence Index.

#daily-log#wiki#research#xai#grok#agentic-coding#persistent-agents
🔬 research2026-09-01T00:00:00.000Z

xAI Grok 4.6 and Grok Bot: The 1.5T Parameter Agentic Coding Stack With Persistent Cloud Teammates

xAI released Grok 4.6 (1.5T parameters, 500K context, frontier coding benchmarks) and Grok Bot (persistent cloud AI teammates) in mid-August 2026. Covers the coordinated release, training methodology (SFT trajectory regeneration + agentic RL), benchmark results matching GPT-5.6 Sol on AA Intelligence Index, Grok Bot's persistent cloud computer architecture, Microsoft Foundry integration, and the Grok 4.7 pipeline.

#xai#grok-4-6#grok-bot#agentic-coding#persistent-agents#spacexai
🔬 research2026-08-07T00:00:00.000Z

Meta Muse Spark 1.2 and Muse Code: Persistent Async Agents, Co-Trained Harness, and the $0.10/M Data-Share Pricing Play

On August 5, 2026, Meta released Muse Spark 1.2 and Muse Code — a coding-specialized model co-trained with its own terminal agent harness, featuring persistent async background agents, replay-exact event logging, and a controversial contributor pricing tier at $0.10/M input tokens in exchange for training data rights. Covers the co-training methodology, benchmark results (82.9% Terminal-Bench 2.1, 59.3% DeepSWE 1.1), the GPU kernel optimization case study, the two-tier pricing strategy, and strategic implications for the agentic coding landscape.

#meta#muse-spark#muse-code#agentic-coding#persistent-agents#co-trained-harness