Aravind Srinivas

“Aravind Srinivas argues that delivering durable value in agentic AI production hinges on a secure, compliance-ready multi-model harness—exemplified by Perplexity Computer’s orchestration and model-routing framework.”

#8 𝕏 Aravind Srinivas argues that delivering durable value in agentic AI production hinges on a secure, compliance-ready multi-model harness—exemplified by Perplexity Computer’s orchestration and model-routing framework. #9 𝕏 Jason Zhou launched a local daemon that runs AI agents directly on your computer with full context, while Loopany handles the orchestration. #10 𝕏 Alexandr Wang unveils Muse Spark, an AI model that carries out end-to-end tasks from just short video instructions. #11 𝕏 Shreyas Doshi warns that analogies excel at explaining your finished thinking but mislead when used to guide decisions—they’re maps you draw after the journey, not tools to navigate it. #12 𝕏 Sam Altman says AI has been net job-creating so far—surprisingly given its current capabilities—and he believes this trend may continue.

“Aravind Srinivas launched Computer harness, an agentic orchestration system that natively supports frontier LLMs—Fable, Sol, Opus, Grok, GLM + advisor, Sonnet and GPT-5.5—with subagents across smaller LLMs and multimodal models.”

#5 𝕏 Aravind Srinivas launched Computer harness, an agentic orchestration system that natively supports frontier LLMs—Fable, Sol, Opus, Grok, GLM + advisor, Sonnet and GPT-5.5—with subagents across smaller LLMs and multimodal models. Local runtimes are coming soon. #6 𝕏 Jason Zhou introduced Loopany, a free, open-source loop management space that scaffolds loop contracts, state, logs and programmable triggers. It connects to your team’s local agents to run self-improving cycles from built-in templates. #7 𝕏 Harrison Chase debuted LangChain this week with NemoClaw DeepAgents, pairing the open-source Deep Agents harness with NVIDIA’s Nemotron 3 Ultra OSS model and the enterprise-ready OpenShell runtime.

“Aravind Srinivas post-trained a GLM that escalates to a frontier model in the Computer harness, achieving Opus 4.8–grade performance with an advisor at a fraction of the cost.”

This is a short research/news note about model escalation in a computer-use setting.

“Aravind Srinivas praises the DGX Spark for sustaining nearly full GPU and RAM utilization without heat issues, highlighting that unified memory maximizes token value per watt.”

𝕏 Aravind Srinivas praises the DGX Spark for sustaining nearly full GPU and RAM utilization without heat issues, highlighting that unified memory maximizes token value per watt. #20 𝕏 Santiago details a 6-step blueprint for building a self-learning agent moat—logging user interaction traces, layering episodic and semantic memory, enforcing data ownership via open schemas, and running continuous RL-driven benchmarks to ensure agents get smarter with every u...

“Aravind Srinivas integrated Forge Global’s private market data into Perplexity Computer.”

Aravind Srinivas integrated Forge Global’s private market data into Perplexity Computer. Users can now query real-time valuations and trading metrics for private companies directly within the tool. #22 𝕏 Google Research launched TabFM, a zero-shot foundation model for tabular data classification and regression.

“#10 𝕏 Aravind Srinivas says enterprises will spin up proprietary model–harness–sandbox–eval flywheels optimized for token value per watt, leveraging their unique tacit knowledge of domain and customer workflows.”

#10 𝕏 Aravind Srinivas says enterprises will spin up proprietary model–harness–sandbox–eval flywheels optimized for token value per watt, leveraging their unique tacit knowledge of domain and customer workflows.

“Aravind Srinivas launched Brain, a self-improving context graph that aggregates all your sessions, connectors, and files and refreshes itself overnight.”

📝 𝕏 Aravind Srinivas launched Brain, a self-improving context graph that aggregates all your sessions, connectors, and files and refreshes itself overnight. It feeds continuous state into every task on Computer and is now available to all Perplexity Max subscribers.

“Aravind Srinivas released Plan Mode to all computer users, and will now ensure full clarification of requirements before crafting the plan and pulling in the right connectors.”

#6 𝕏 Aravind Srinivas released Plan Mode to all computer users, and will now ensure full clarification of requirements before crafting the plan and pulling in the right connectors.

“#17 𝕏 Aravind Srinivas announces that Perplexity Computer’s agent harness now natively embeds Deep Research as a built-in skill, giving users seamless access to advanced research capabilities without switching modes.”

#17 𝕏 Aravind Srinivas announces that Perplexity Computer’s agent harness now natively embeds Deep Research as a built-in skill, giving users seamless access to advanced research capabilities without switching modes.

“Aravind Srinivas launched Nemotron 3 Ultra, America’s leading open-source model, now accessible on Perplexity for all Pro and Max users to test.”

#22 𝕏 Aravind Srinivas launched Nemotron 3 Ultra, America’s leading open-source model, now accessible on Perplexity for all Pro and Max users to test.