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Industry
United Kingdom· AI News· 9d ago

OneRail uses Nvidia AI for real-time last-mile delivery optimisation

Logistics management company OneRail has unveiled OmniSTAR, an AI-driven delivery platform built on Nvidia technology designed to optimize last-mile logistics in real time. The software assesses various transport methods—including internal fleets, commercial couriers, and parcel carriers—to select the most cost-effective option that still fulfills required delivery schedules. By using sophisticated AI algorithms to balance expenditure against service constraints, OneRail provides retailers, wholesalers, and distributors with enhanced operational efficiency and automated dispatch decisions across complex supply chains.

What this means for you

Logistics leaders and supply chain managers should adopt AI dispatching engines to curb rising last-mile delivery costs while maintaining strict customer service agreements.

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Products
United States· The Verge AI· 3h ago

Anthropic CEO says it’s time to pump the brakes on AI

Anthropic CEO Dario Amodei has proposed a strategic shift in AI development, advocating for a measured pace rather than an unchecked race for intelligence. By inviting independent third-party assessors like METR to audit their systems, the company aims to establish a new standard for transparency and safety. This move signals a significant departure from the 'growth-at-all-costs' mentality, suggesting that the industry must prioritize verifiable safety protocols before deploying more powerful models to the public.

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Industry
United States· TechCrunch AI· 3h ago

Anthropic CEO outlines plan to ‘pace the frontier’

Anthropic CEO Dario Amodei has proposed a strategic shift aimed at decelerating the breakneck speed of artificial intelligence development. By advocating for a more deliberate 'pacing' of innovation, the company suggests that industry leaders should prioritize safety evaluations and societal impact assessments over mere technical capability benchmarks. This shift marks a significant departure from the competitive race between major AI labs, highlighting growing concerns that rapid deployment without adequate guardrails could pose existential or systemic risks to global infrastructure.

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Industry
United States· TechCrunch AI· 22h ago

Y Combinator’s Garry Tan wants U.S. open-weight AI labs to ‘distill’ frontier models, too

Y Combinator leader Garry Tan is advocating for a shift in how leading artificial intelligence developers share their technology. He contends that since foundational models are built upon vast repositories of human-generated information, the resulting capabilities should be accessible as a public benefit. By encouraging labs to create smaller, distilled versions of frontier models, Tan hopes to democratize access to high-performance AI, moving away from closed-off ecosystems toward a more equitable distribution of innovative tools.

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