Uber

Headlines · 4

1. 8h
   Uber and Pony.ai to test seventh-generation robotaxis in London within weeks

   Pony.ai said Thursday on X that it will begin testing its seventh-generation robotaxis in London in the coming weeks, ahead of a service on Uber; the companies did not disclose fleet size or a commercial launch date. The plan follows their live partnership in Zagreb, where Pony.ai supplies the self-driving system and the Arcfox Alpha T5 developed with BAIC, Verne owns and runs the fleet, and Uber provides the ride-hailing network; TechCrunch reports London will use a similar model. Uber launched London’s first robotaxi service with Wayve in September using safety drivers, and TechCrunch says Uber has deals with more than 30 autonomous-vehicle companies and expects self-driving trips in up to 15 cities by the end of 2026.

   The Next Web · 🔥 8
2. 14h
   Uber open-sources ADR agentic AI detection and response system

   Uber has open-sourced ADR (Agentic AI Detection and Response), an enterprise security system for AI agents that is deployed in production at the company. The repository includes ADR Discovery, ADR Sensor, ADR-Bench and ADR Detector, which inventory AI apps, CLI agents, IDE extensions, local model runtimes and MCP servers on endpoints, and capture agent intent, tool use and execution traces from 7+ coding tools including Claude Code, Cursor, Codex, GitHub Copilot CLI, DeepSeek Harness, opencode, Claude Desktop and Gemini CLI. The project says ADR-Bench spans 304 tasks and 134 MCP servers across all 17 agent attack techniques; the ADR Prevention component and the ADR Explorer engine are not part of the open-source release, and an accompanying paper was accepted to MLSys 2026.

   GitHub Trending · Python · 🔥 7
3. 17h
   Enterprises Shift AI Spend to Open-Weight Models, Pressuring Closed-Model Pricing

   Third-party data and company interviews cited in the report show US enterprises moving routine AI workloads off the priciest frontier models and onto cheaper open-weight alternatives. AlphaSense found mentions of "open-weight" or "open source" models on US earnings and investor calls in August–September were six times the year-earlier level; Vercel said open models handled 56% of tokens on its AI Gateway in August versus 7% in December; and Citi data cited by Reuters put OpenRouter's open-model token share at 65% in June, up from 34% in January. Examples include AT&T running roughly 40% of AI workloads on open models with plans to reach 70% within a year, Tinder and Harvey routing routine tasks to open models, and Cursor cutting the cost of building a browser from scratch from over $10,000 with GPT-5.5 alone to $1,339 using its own Composer model plus Anthropic Opus 4.8.

   36氪 人工智能 · 🔥 6
4. 1d
   Nebius, NVIDIA and Uber on squeezing more value from every unit of compute

   At a panel hosted by The Information's AI Agenda Live, executives from Nebius, NVIDIA and Uber discussed how they are optimizing compute as agentic workflows threaten to multiply token consumption. Nebius CRO Marc Boroditsky said the company tailors optimizations in its Token Factory inference platform to each customer's goals—speed, reliability, quality or price—using techniques such as speculative decoding, where smaller models predict likely next tokens that a larger model verifies in bulk, tuned with the customer's own traffic. NVIDIA's Dion Harris pointed to a Dynamo feature that locates already-computed data in a cluster's KV cache so teams avoid recalculating it, while Uber infrastructure VP Mattie Toia said its token costs have stabilized despite growing agentic use, helped by caching pushed down to individual sub-agents and by giving engineers visibility into their own usage; Uber also built an internal "context graph" of roughly 24 million nodes that cut query times from 20 minutes to 30 seconds.

   The Information · 🔥 4

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