AI Coding Live News

Cartesia launches Managed Agents voice agent platform: #1 of 30 on Speech Agent Arena, $0.03 per minute at launch

Voice model company Cartesia launched Managed Agents on Oct 29, an end-to-end voice agent platform for enterprise phone calls that tunes its own speech-to-text and text-to-speech models together with the agent harness, and bundles telephony, knowledge bases, tool calls and outbound batches. Cartesia says it ranks #1 on Artificial Analysis's Speech Agent Arena with a 1115 Elo and scores 87.4% accuracy and 90.7% experience on ServiceNow's EVA-Bench (vendor-reported, with GPT-5.5 as the reasoning model). Launch pricing is 50% off at $0.03 per minute.

Cartesia launches Managed Agents voice agent platform: #1 of 30 on Speech Agent Arena, $0.03 per minute at launch

Key Takeaways

  • On Artificial Analysis's Speech Agent Arena blind preference test, Managed Agents ranks #1 of 30 agents with a 1115 Elo, ahead of Gemini 3.1 Flash Live Minimal (1099), Grok Voice 3.0 (1064) and GPT-Live-1 (1041) (Cartesia blog, as cited by the vendor)
  • First-attempt results on ServiceNow EVA-Bench across 200+ customer service, IT service and HR scenarios: 87.4% accuracy and 90.7% experience, versus 73.7%/71.2% for Grok Voice 3.0 and 59.0%/61.6% for GPT Realtime 2.1 (EVA-Bench)
  • All these benchmark runs use GPT-5.5 as the reasoning model; Cartesia's internal evaluation says 85% of calls had no turn-taking issues, versus 67% for other agents
  • Launch pricing is 50% off at $0.03 per minute; Cartesia says the platform has already handled tens of millions of conversations in finance, retail, hospitality and healthcare
  • It supports 44 languages; English, Spanish, Hindi, French and Japanese can switch mid-call today, with the rest coming soon
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Knowledge Pull Requests (KPRs) Released: Bringing Git PR Workflows to LLM Knowledge Bases

Researchers from Johns Hopkins University have introduced Knowledge Pull Requests (KPRs, arXiv: 2609.26634), an interpretable framework for continual document authoring. Treating knowledge curation analogously to software pull requests, KPRs decouple factual claim extraction from textual diffs and automate contradiction detection, outperforming blind text regeneration in enterprise RAG systems.

Knowledge Pull Requests (KPRs) Released: Bringing Git PR Workflows to LLM Knowledge Bases

Key Takeaways

  • Translates code review paradigms into document curation, producing interpretable claim changelogs alongside textual diffs.
  • Employs automated factual contradiction detectors, surfacing source discrepancies with 91.4% precision.
  • Improves grounded knowledge retention by 48% over monolithic re-generation across multilingual benchmark corpora.
  • Preprint, evaluation datasets, and pipeline code are accessible on arXiv and Hugging Face Papers.
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Chubby Skills open-sources multi-platform ingest skills plus a KB MCP server

@DanKornas highlighted Chubby Skills (github.com/chubbyguan/chubbyskills, MIT, ~688★): open content-ingest and PKB skills that save Bilibili/YouTube/Douyin/Xiaohongshu/WeChat/X/podcasts as source-preserving local Markdown/JSON (subtitle-first transcription, local vault indexing) plus an MCP server so coding agents can search and manage the knowledge base.

Key Takeaways

  • Multi-platform capture into local Markdown with preserved sources (Bilibili, YouTube, Douyin, Xiaohongshu, WeChat, X, podcasts).
  • Subtitle-first video path with local transcription fallback, plus hashes and JSON records.
  • Includes a KB MCP server so Claude Code/Codex-class agents can search and manage the index.
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Amazon Bedrock AgentCore harness is GA: declare model/tools/skills and run the managed loop

AWS announced Amazon Bedrock AgentCore harness is generally available: declare the model, tools, skills, and instructions, and AgentCore runs the orchestration loop with an isolated env, filesystem + shell, cross-session memory, skills catalog, and web browsing. Also shipping: Managed Knowledge Base, in-boundary Web Search, gateway Guardrails, plus recommendations and A/B testing from production traces.

Key Takeaways

  • AgentCore harness is GA: declare config and get a managed orchestration loop plus isolated runtime.
  • Also shipping: Managed Knowledge Base, in-boundary Web Search, and gateway Guardrails.
  • Recommendations and A/B testing turn production traces into prompt/tool fixes validated live.
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