Karpathy Releases Autoresearch: Autonomous AI Agents That Never Stop
Andrej Karpathy — former Tesla AI director and OpenAI co-founder — just published autoresearch on GitHub: an open-source framework where AI agents autonomously run 100+ ML experiments overnight on a single GPU. The agent modifies code, trains, checks results, and iterates — no human in the loop. The repo hit 8,000 stars in days. The PMM takeaway: "agentic" has moved from research concept to production pattern, and autonomous metric-driven iteration is coming to marketing workflows next.
Read on LeapLytics →The Pro-Human Declaration: A Roadmap for AI (If Anyone Will Listen)
A bipartisan coalition has published the Pro-Human Declaration — a framework for responsible AI development that emerged amid the Pentagon-Anthropic standoff. Key provisions: prohibition on superintelligence development until there's scientific consensus it can be done safely, mandatory off-switches, and legal accountability for AI companies. Polling shows 95% of Americans oppose an unregulated race to superintelligence.
Read on TechCrunch →White House Drafting New AI Chip Export Rules
The administration is drafting regulations that would tighten US oversight of global AI chip exports. Foreign nations seeking advanced chips may need to make "matching" investments in American AI infrastructure or provide government-to-government security assurances. This reshapes how compute power gets distributed globally — and could affect enterprise AI roadmaps.
Read on DigiTimes →AI Marketing Analytics Platforms: 2026 Guide
Comprehensive breakdown of what's working in AI-powered marketing analytics. The key insight: AI-powered anomaly detection now continuously monitors for unusual patterns — sudden drops in conversion rates, unexpected spikes in CPA, performance deviations — and alerts you before they impact results. The platforms that matter have 500+ native connectors eliminating manual data collection.
Read on Cometly →How AI Tools Help SMBs Automate Marketing in 2026
The shift from traditional SEO to AEO (Answer Engine Optimization) is real: if your business isn't optimized for AI voices and chatbots, you're invisible to Alexa, Siri, and ChatGPT. The stat that matters: 85% of marketers save at least 4 hours per week using AI. For PMMs at smaller companies, AI now handles content creation, customer service, and campaign management at a fraction of the old cost.
Read on Business To Mark →💡 My Take
Read this one: The Karpathy autoresearch piece. The design philosophy — autonomous, self-directed, metric-driven iteration with an explicit instruction to never stop and never ask permission — is the template enterprise AI is moving toward. Not just for ML research, but for any domain with clear objectives and measurable output. Which describes a lot of what PMM teams do every day.