Private market data from Forge Global now in Perplexity Computer - 惯性聚合

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Aravind Srinivas(@AravSrinivas)

Aravind Srinivas (@AravSrinivas) on X Aravind Srinivas (@AravSrinivas) on X Aravind Srinivas (@AravSrinivas) on X Aravind Srinivas (@AravSrinivas) on X Aravind Srinivas (@AravSrinivas) on X Aravind Srinivas (@AravSrinivas) on X The DGX Spark is an incredible piece of hardware. Running it to almost full GPU and RAM utilization ... Vera CPUs are custom-built for agentic runtime. We've been working together with NVIDIA on running ... Vera CPUs are great! The best application for models to run locally on hardware you own would be personal robots. There’s... New Pod New orchestrator model for Computer users (Pro and Max): Sonnet 5. it’s easier to raise the ceiling than the floor Every enterprise will have its own model-harness-sandbox-eval flywheel with token value per watt opt... this is going to be the norm Moving fast is essentially an expression of humility as you make frequent contact with reality The best way to build a high pain tolerance is to remind yourself that the pain is temporary Computer can now connect to Legal Research data. Ramp inside Perplexity Computer GLM now supported on Perplexity Agent API Natural gas needs ~50× more water than solar and ~1,000× more than wind for the same load. Nature wa... Worth reading. The marginal water consumption of a properly implemented data center for its liquid ... Also, other multi-trillion-parameter open-source models are landing soon, from what I hear. It's goi... GLM is the kind of model that revives serious interest in open source AI. It passes the blind test r... frontier ai for all Context graphs will be the best way for businesses to enable and deploy agentic harnesses. There's a... We're rolling out Brain: a self-improving context-graph of all your sessions, connectors, and files.... New Pod Congrats @LewisHamilton on a brilliant win today in Barcelona! “I don’t ever give up” Congrats @elonmusk 🚀 Plan Mode has been released to all Computer users. Will now clarify with you sufficiently before pro... Perplexity Computer is an agent harness that just keeps delivering. Deep Research is now a native sk... You can use Claude Fable 5 as the orchestrator model inside Computer. Available to all Pro and Max u... 🇬🇧🇬🇧🇬🇧 We're sharing a comprehensive study of Perplexity Computer in real-world deployment in collaboration... Thank you @LipBuTan1 and @intel for working together with Perplexity on bringing Personal Computer w... America's leading open-source model, Nemotron 3 Ultra, is now available on Perplexity for all Pro an... The future of America is small businesses that can build faster than ever before with agents. Glad t... We’re bringing all connectors required to spin up and run a business from scratch inside Perplexity ... Expert call transcripts now inside Perplexity Computer for deep financial research and analysis https://t.co/dfElkSyLVy Computer on all Windows machines soon And Macs and Linux Machines too We’re brining local models that can run on your personal hardware inside Perplexity Computer. This w... Good ELI 5 by Grok We’re moving away from search as a web fetch tool call to search as codegen to be future proof in a ... Opus 4.8 is available to all Perplexity Max users. Best used inside Perplexity Computer as the orche... MS Office is now powered by Perplexity Computer Every millisecond matters. We’re open sourcing the tokenizer we built and deployed on production; th... iPhone ~= MacBook, thanks to server side agents Perplexity Computer can manage your @Shopify store To get Perplexity Computer and similar tools deeply embedded in enterprises, a continuous investment... MiniMax, a leading open source model and agent, is now powered by Perplexity’s search infrastructure Most enterprise data lives inside Snowflake. With Computer connecting to Snowflake, you get to set u... Perplexity is building one of the most secure scalable agent runtime sandboxes in the market right n...

Private market data from Forge Global now in Perplexity Computer

Aravind Srin · 2026-06-30 · via Aravind Srinivas(@AravSrinivas)

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