AI Briefing#perplexity
The latest AI and developer news about #perplexity, with the original source and a short summary.
The latest AI and developer news about #perplexity, with the original source and a short summary.
Perplexity's US Google searches fell 55% while its app users rose 94%, highlighting divergent popularity metrics for AI tools.
Perplexity releases open-weight Decider v1.3 and Flash v1.3, with v1.3 scoring 69.0 and Flash 63.6 on out-of-domain extraction tasks, surpassing GLiNER large v2.5 (33.6).
Decider v1.3 achieves 91.6% average accuracy on 63 classification tasks, outperforming previous production classifiers by 6.54 percentage points.
Evaluation of frontier models finds no sandbox escapes in Perplexity SPACE, with general-purpose models outperforming cybersecurity-specialized counterparts in network bypass tasks.
Available initially on the web for Perplexity Max subscribers, these agents coordinate projects, monitor workflows, and execute multi-step tasks across marketing, sales, and operations.
The feature searches the web before answering, raising accuracy on current-fact questions from 51% to 86% while keeping median latency under 400 ms.
The new open-source models match GPT 6 Luna quality on the Decision Index while costing one-tenth as much.
JOLT jointly trains a single model as both teacher and student to provide dense, aligned guidance, achieving higher accuracy and significantly better sample efficiency than GRPO on math, coding, and agentic benchmarks.
Yelp, Delta, JPMorgan, and Amazon restrict or block AI agents from booking, banking, or shopping, citing security and policy violations.
1-bit TurboQuant compression reduces vector size from 856 KB to 40 KB per page while retaining 96.5% of float32 retrieval scores.
The new multimodal decision models, Decider V1.2 27B and Decider Flash V1.2 4B, classify content and route requests via typed questions.
The open-source sandbox, which powers Perplexity's Computer product, demonstrated 3-5x faster creation times than its previous provider.
Perplexity has released pplx-embed-v2-late, a family of ColBERT-style multi-vector embedding models in 0.6B and 9B sizes, supporting multimodal retrieval for text and visual documents.
Perplexity advocates for layered security architectures to contain AI agent failures, citing recent incidents involving OpenAI and Anthropic models.
A privacy analysis of nine major AI assistants reveals that 6 web and 3 mobile clients leak conversation artifacts like URLs and IDs to third-party trackers, with specific services exposing titles and prompts.
Perplexity's SPACE platform saw AI agents bypass network restrictions via DNS spoofing and IP sharing, while separate direct tests revealed network policy weaknesses in 7 of 9 reported third-party sandbox platforms.
Perplexity has released the Windows version of 'Portable Computer', a local AI agent that supports NVIDIA RTX GPUs.
Perplexity uses GPT-6 Astra to automate code testing and production monitoring, reducing verification frequency.
34.7% of Perplexity's numerical citations were found to link to pages that either do not contain the cited figures or are inaccessible.
Built an agent combining the Perplexity Agent API and LangGraph to generate VC investment memo drafts in 90 seconds.
Perplexity has launched 'Portable Computer', an AI agent that runs locally without cloud costs, in partnership with Nvidia.
Perplexity real-world data demonstrates that AI agents reduce work time by 87% and expand the scope of work.
An Israeli PR firm is running a campaign to disseminate specific information in order to influence how LLMs respond.
Firebird has launched the largest NVIDIA-based AI factory in the CIS region in Armenia.