GTM OpsHello OperatorVictor's pick
Make Friends With Your Market
useful booth manning advice
AI EcosystemsAI Weekly
AI Weekly Issue #481: Musk wants Altman fired, Anthropic passes OpenAI, Meta goes closed
vendor-fundingmarket-consolidationregulatory-impactai-policy
“Anthropic's revenue run rate passed OpenAI's — $30 billion to $24 billion — powered by enterprise demand that doubled its million-dollar customers in under two months”
Key takeaways
- Anthropic overtook OpenAI in revenue ($30B vs $24B run rate) driven by enterprise customers, doubling million-dollar accounts in under two months
- Meta abandoned open-source AI strategy with first proprietary model under Superintelligence Labs, reversing Llama approach
- AI legal/regulatory activity intensifying: Musk-Altman litigation escalating, Hollywood writers secured four-year AI protections
Why this matters for operators: Limited - industry news, not GTM implementation insights
I cover AI×GTM intelligence like this every Wednesday.
Get STEEPWORKS WeeklyMore picks
Human-AI IntersectionTechCrunch AIVictor's pick
Meet Shapes, the app bringing humans and AI into the same group chats
this is just ...cool?
- Shapes is positioning as 'Discord with AI characters' - group chat with AI participants
- Represents emerging category of AI-as-peer vs AI-as-tool
- Insufficient detail to assess product-market fit or GTM relevance
ai-collaboration-toolsconversational-aihuman-ai-interaction
AI Developmentn8n Blog
Human-in-the-Loop vs. Human-on-the-Loop: When To Use Each System
- HITL (human-in-the-loop) requires human approval before AI executes critical actions - synchronous control pattern used for high-stakes decisions, compliance requirements, and low-confidence scenarios
- HOTL (human-on-the-loop) allows AI to execute autonomously while humans review results and adjust parameters - asynchronous pattern for scalable operations with exception-based oversight
- Framework applies across use cases: loan approvals, customer emails, social posts, fraud detection, and compliance workflows - choice depends on risk tolerance, regulatory requirements, and operational scale needs
automation-stacksai-policyhuman-first-sales
This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.