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@denisyarats
cofounder & cto @perplexity_ai
AI
Perplexity says text and vision scores improved, with inference up to 5x faster.
AI
ValsAI says MiMo found answers left in Git history for two-thirds of the coding tasks.
AI
Perplexity's developer account announced the availability on October 7, linking to an OpenRouter post.
AI
Perplexity says its new pplx-decider-v1.1-27b model costs $0.02 per million input tokens, half the price of v1. OpenRouter later said the model was also available there with text, JSON, or image inputs and free output.
AI
OpenAI says it drew on an independent mathematics advisory group’s advice about how to release the results.
AI
Perplexity introduced a Decisions API built around pplx-decider-v1-27b, a multimodal model that returns probabilities over fixed answers instead of text, with weights available on Hugging Face.
AI
Perplexity claims leading Answer and Evidence retrieval on context-bench, while its earlier model leads two Document measures. The preview’s embeddings may be incompatible with future releases.
AI
A user says it “only took $3k,” adding that more iterations are running: “hopefully can surpass.”
AI
Perplexity says two engineers and hundreds of always-on AI agents built CobbleDB’s core infrastructure in two months. The company plans to open-source it for other teams building AI search.
AI
Perplexity details its GPU infrastructure for embedding models used in search ranking.
AI
The engine powers hybrid compute tasks in the company's Mac app.
AI
Robert Scoble retweets announcement about a team of 12 PhDs building Mostik AI.
Technology
Perplexity founders announce search integration for Decagon customer support agents.
AI
Perplexity AI founders announce integration of search into Decagon customer agents for major brands.
Technology
Aravind Srinivas showed an early demo of Portable Computer on DGX Spark and received a DGX Station from Jensen.
AI
Perplexity shares benchmarks for its on-device 27B model harness.
AI
Perplexity founders confirm appointment with focus on open research in continual learning and multi-agent systems.
Technology
NYU professor will lead research on continual learning and RL at the AI company.
