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@aravsrinivas
cofounder and ceo @perplexity_ai
AI
ValsAI says it evaluated 15 models on 1,960 claims paired with 10-K excerpts, with Decider V1.2 leading the decision models.
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Perplexity says the model and agent run on-device, while its separate Hybrid mode can use cloud models.
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The post describes Crusoe as well positioned to become a full-stack cloud spanning power, compute and services.
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A post links to the game's site, titled “San Francisco · Drive and Fly.”
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A user calls the model “pretty good” and says it can run “super fast” on that Mac.
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Arav Srinivas says new models will be released regularly, replying to a post linking both Decider v1.2 variants.
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A related reply says a trillion tokens a month would cost $10,000 at 1 cent per million tokens, at best.
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Perplexity says text and vision scores improved, with inference up to 5x faster.
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A post says the setup uses a Plaid connector inside Computer.
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Perplexity says Pro and Max subscribers have access; a separate post says the model is available to all users.
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A user says the approach can work with lights, doors and AC, using a skill and a few prompts.
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A user asks what could improve their AI gateway and says flexibility and ease of building are the goals.
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A post argues that neoclouds need open-weight and fine-tuned models, plus secure sandboxes, for agent inference.
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Perplexity says the model is also available in Agent API.
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Perplexity's README says SPACE uses isolated Firecracker microVMs and an HTTP API to run commands and collect output.
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Arav Srinivas says net dollar retention is consistently high for American self-serve businesses onboarded on agents.
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A post says the tag is for market and real-time trends research tasks.
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Perplexity says cryptographic identity keeps requests tied to the right execution as sandboxes pause, resume and move.
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Perplexity says both versions generate tokens faster, helping complete long Computer tasks sooner.
