AI Daily — November 3, 2026

Models & Research

More Pretraining Data Can Turn Muon’s Advantage into AdamW’s — Muon achieves lower pretraining loss, but that advantage can reverse after fine-tuning. In experiments with 30M–600M parameter language models across four datasets, AdamW-pretrained models offered a better balance between learning new tasks and retaining prior knowledge once pretraining data was sufficiently large. Larger models reached this crossover at fewer training tokens per parameter. The researchers introduce a measure of prediction robustness that helps explain the shift, showing why pretraining loss alone is insufficient to judge a model’s suitability for adaptation. arXiv ↗

My takeaway: In this study, Muon offered a better balance between learning new tasks and retaining existing knowledge when pretraining data was limited. With sufficiently large amounts of pretraining data, AdamW offered the better balance. Judge AI training methods by how well models learn new tasks without forgetting old knowledge, not just by their initial training scores.

Tools & Open Source

OpenAI details Pando, a Git-compatible backend built for Codex-scale development — OpenAI describes how it built Pando to handle the concurrent development activity enabled by Codex. OpenAI ↗

My takeaway: Pando is designed to handle concurrent Git operations generated by coding agents such as Codex more efficiently.

Policy & Society

Publishers including the NYT sue Brave over alleged content scraping — The NYT’s lawsuit accuses the browser maker of scraping copyrighted articles and distributing them to customers such as Anthropic and Perplexity. Other publishers filed a separate suit. TechCrunch AI ↗

My takeaway: Copyright litigation is extending upstream in the AI data supply chain, from model makers to the search and index providers that supply them.

Industry & Funding

• 42AI exits stealth with $62.5M for a human-behavior world model
• Trajectory raises $45M at a $300M valuation
• Musk curbs Grok Bot usage over unsustainable costs
• Squarespace cuts 19% of staff in restructuring

Summaries are AI-generated and may contain errors — always verify against the linked original. Each story links to its source, which holds the copyright. Outlet names are shown for attribution only and do not imply any endorsement or affiliation.

Disclaimer: The views expressed in My Takeaway are my own personal opinions and general observations on industry trends. They are not intended to criticize, disparage, or make factual claims about any specific company, product, or platform. Any platform names mentioned are referenced solely for illustrative and informational purposes.