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NVIDIA just announced the first PC built specifically to run AI agents, and it's a big deal.The new RTX Spark chip can run powerful AI models locally on your laptop, no cloud required, with enough memory to handle tasks most current machines would choke on.Microsoft is rebuilding Windows around it. Adobe is rebuilding Photoshop and Premiere for it. Every major PC maker is building hardware for it.The idea is simple: your next computer won't just do what you tell it, but work alongside you.
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Today we're shipping Nemotron 3 Ultra.A 550B MoE frontier-intelligence open model built for long-running agents.It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.
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Perplexity is bringing hybrid agentic inference to Perplexity Computer.The system can split tasks between a local model running on the user’s machine and frontier models in the cloud.Private or sensitive data can stay on-device, while harder reasoning tasks can still route to cloud models.It will be maximizing token value per watt: use local compute when possible, use frontier compute only when needed.The product is expected to launch with local inference in July, with support across local silic
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The model is the least important part of getting AI to work for you.An OpenAI PM running international growth showed me where the real leverage lives: the harness. Three layers most people skip entirely.Layer one is connectors. He wired up seven or eight scattered dashboards once (Databricks, Tableau, the competition dash) and then stopped asking generic questions. "How is weekly active growth doing" returns garbage when you have a consumer table and a business table that look identical and mean
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