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Qdrant’s next chapter: From vector search into physical AI

Sifted 23 September 2026, 05:00

Qdrant is presented as moving from its original vector-search roots toward building “physical AI.” The article says the company launched 5 years ago, and it describes investors questioning whether Qdrant arrived too late. Because the provided article text is mostly garbled, the具体 details of what Qdrant will do next can’t be reliably extracted, so the practical takeaway is limited.

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TLDRocket 23 September 2026

AI’s business logic got cheaper—and more tightly controlled—today. OpenAI cut API pricing for GPT-6 Sol and GPT-6 Luna by half versus GPT-5.6 Sol, with Luna’s output-token price down 58%, and it added more default prompt caching plus a Prompt Caching Dashboard to help developers stop burning budget on repeated context. Anthropic followed with a discount for Claude Opus 5.5, lowering input from $5 to $4 per million tokens and output from $25 to $20, then warned that four common agent behaviors tied to Opus 5.5 could break in ways that surface as 400 errors—mostly around tool-choice, routing, and how conversation history is handled.

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Qdrant’s next chapter: From vector search into physical AI

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