Aravind Srinivas

“Aravind Srinivas shared that Perplexity Decider ranks first on DecisionBench, with quoted benchmark results reporting 93.9% accuracy and the lowest cost.”

#8 𝕏 Aravind Srinivas shared that Perplexity Decider ranks first on DecisionBench, with quoted benchmark results reporting 93.9% accuracy and the lowest cost. Also covered by: @Aravind Srinivas

“#3 𝕏 Aravind Srinivas announced the open-sourcing of pplx-embed-v2-late, 9B and 0.6B multi-vector models for text and images in one shared embedding space, with weights available on Hugging Face.”

#3 𝕏 Aravind Srinivas announced the open-sourcing of pplx-embed-v2-late, 9B and 0.6B multi-vector models for text and images in one shared embedding space, with weights available on Hugging Face. It supports multimodal indexing with 9B, on-device querying with 0.6B, and PDF search without OCR, scoring 92.4% on MADQA and 64% on BrowseComp+.

“Aravind Srinivas shared that custom vertical AI apps can be built inside Computer, such as one that guesses an image’s spatial location using 3D and satellite views.”

#11 𝕏 Aravind Srinivas shared that custom vertical AI apps can be built inside Computer, such as one that guesses an image’s spatial location using 3D and satellite views.

“Aravind Srinivas demonstrated inline 3D visualizations in Perplexity Computer, where “Visualize…” can generate educational, interactive widgets and animations for a requested learning topic.”

GenAI PM Daily - Perplexity Computer now generates interactive 3D learning visualizations October 04, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 12 insights for PM Builders from X and LinkedIn. Perplexity Computer now generates interactive 3D learning visualizations #1 𝕏 Aravind Srinivas demonstrated inline 3D visualizations in Perplexity Computer, where “Visualize…” can generate educational, interactive widgets and animations for a requested learning topic. He says the feature is best experienced on Standard or High effort. #10 𝕏 Aravind Srinivas said the goal is to vertically integrate agentic infrastructure by owning and optimizing sandboxes for the best silicon, describing NVIDIA’s Vera CPU as “far better than x86.” He added that deployment of Perplexity Computer on Vera is beginning to roll out, with more details coming soon.

“Aravind Srinivas recapped seven recent open-source contributions from Perplexity spanning models, benchmarks, and tools, including Perplexity’s pplx-decider-v1-27b, which he described as a state-of-the-art multimodal decision model.”

#14 𝕏 Aravind Srinivas recapped seven recent open-source contributions from Perplexity spanning models, benchmarks, and tools, including Perplexity’s pplx-decider-v1-27b, which he described as a state-of-the-art multimodal decision model. He added that more open-source contributions are coming soon.

“Aravind Srinivas says pplx-decider-27b, a multimodal Decision Model, is being open sourced and offered through a new Decisions API at 4 cents per million input tokens with free output tokens.”

#1 𝕏 Aravind Srinivas says pplx-decider-27b, a multimodal Decision Model, is being open sourced and offered through a new Decisions API at 4 cents per million input tokens with free output tokens. He says the price is intended to drop further over the coming days.

“Aravind Srinivas announced open access to an email-based task delegation agent, with no Perplexity account required. For a limited time, users can forward or CC computer@perplexity.com to delegate tasks for free; the agent works in the background while retaining the email context.”

Aravind Srinivas announced open access to an email-based task delegation agent, with no Perplexity account required. For a limited time, users can forward or CC computer@perplexity.com to delegate tasks for free; the agent works in the background while retaining the email context.

“Aravind Srinivas shared Matterport in a single prompt on Perplexity Computer using the High Effort setting.”

#2 𝕏 Aravind Srinivas shared Matterport in a single prompt on Perplexity Computer using the High Effort setting.

“Aravind Srinivas commented that Perplexity’s Search API, powered by its Rust-based retrieval and ranking engine Photon, achieves sub-250ms p95 latency and ranks highly on relevance and accuracy benchmarks.”

#5 Aravind Srinivas commented that Perplexity’s Search API, powered by its Rust-based retrieval and ranking engine Photon, achieves sub-250ms p95 latency and ranks highly on relevance and accuracy benchmarks. He said a small team built Photon using hundreds of auto-research loops powered by a more capable internal version of Perplexity Computer to continually optimize speed and accuracy.

“#4 𝕏 Aravind Srinivas shared research on a post-training approach that teaches the Perplexity Computer agent from real user sessions by combining rejection sampling fine-tuning with hint-guided self-distillation.”

GenAI PM Daily September 23, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's top 20 insights for PM Builders, ranked by relevance from Blogs, X, and YouTube. OpenAI News announces GPT-6 Sol and Luna #1 📝 OpenAI News Introducing GPT-6 Sol and Luna - Introduces two new GPT-6 variants, Sol and Luna, highlighting their capabilities and intended use cases. The announcement describes distinctions between the models and how organizations can adopt them. Also covered by: @Cognition , @OpenAI , @Sam Altman , @There's An AI For That #2 𝕏 Claude Opus 5.5 is available today. Also covered by: @Thariq , @Mike Krieger , @Anthropic , @Aravind Srinivas , @Cursor , @v0 , @Claude , @There's An AI For That #3 📝 OpenAI News Better prompt caching for GPT-6 - Announces improvements to prompt caching for GPT-6 to reduce latency and cost for repeat prompts, improving developer and product performance. #4 𝕏 Aravind Srinivas shared research on a post-training approach that teaches the Perplexity Computer agent from real user sessions by combining rejection sampling fine-tuning with hint-guided self-distillation.