Ant Group trained a model by removing the usual middleman
Ant Group's Online RLHF eliminates reward models from training, cutting costs 50% while processing 1 trillion tokens on eight GPUs—proof that removing complexity beats adding scale.
Who owns the outcome when AI makes autonomous business decisions
Mission owners coordinate humans and AI agents, but when your agent makes the wrong autonomous decision, who bears legal liability? Before redesigning workflows, build the accountability architecture underneath.
AI agents will trap you with your own memories
AI agents promise to be indispensable by remembering everything about you. But if those memories can't transfer between platforms, you're locked in. Control over memory is control over identity—and companies are writing the rules
MIT spinout challenges the big model approach with tiny task-specific AI
Liquid AI's new device-based models create different licensing rules for startups versus enterprises, potentially changing how teams approach AI procurement and data residency decisions.
Spec-driven development emerges as answer to AI coding complexity
This approach turns AI from a code generator into a more reliable development partner—one that builds what you actually need.
AI agents surge in consumer-facing industries as adoption jumps 119%
Consumer industries lead 119% surge in AI agents as retail, travel see 128-133% monthly growth in automation—changing competitive landscape for product teams
Travel's agentic AI moment is arriving slower than the headlines suggest
Over 90% of travelers trust AI-generated travel information, but almost none want the AI to act on that information independently.
Non-human identities are multiplying faster than security teams can track them
Non-human identities outnumber humans 80:1 in many orgs, but most teams lack visibility into AI agents' permissions, ownership, or lifecycle management—creating major governance gaps.
