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At Dreamforce, Business Leaders Say Last Year's AI Models Are Good Enough

TL;DR: At Salesforce's Dreamforce, business leaders reportedly said last year's models already handle most of their practical needs, CNBC writes — a reality check on the frontier-model race.

Key points

  • Per CNBC, many enterprise practitioners said last year's models are "good enough" for their workloads.
  • The frontier debate over model capability and safety diverged from what buyers actually deploy.
  • Attention appears to be shifting from "the most powerful model" toward "the model that fits the job at the right cost."

Why it matters

Even as capability races continue, enterprise buying favors stability, cost, and ease of integration over sheer novelty. The AI safety conversation is moving from abstract risk toward a practical bar: is this safe enough to ship now?

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How this story unfolded

  1. OpenAI Debuts 'ChatGPT for Financial Services' Aimed at Banks
  2. US Companies Lean Into Open-Source AI
  3. Claude EFS Blends Customer-Owned Storage With Anthropic's Detection
  4. Salesforce Agentforce Multi-Agent Orchestration Hits GA — ARR Crosses $800M
LLM
— Large Language Model의 약자로, '거대 언어 모델'이라고 해요. ChatGPT, Claude 같은 AI가 바로 LLM이에요. 엄청나게 많은 텍스트를 학습해서 사람처럼 글을 쓰고 대화할 수 있어요.

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