perplexity

This paper analyzes why compression statistics for LLM pruning can be reproducible yet select suboptimal endpoints, introducing information boundaries and observation fibers to model the gap. It proposes group-resolved and model-specific mask selection methods that improve worst-group perplexity across dense LLMs and OLMoE.

Revolut is dropping Perplexity and offering ChatGPT as the AI subscription for Premium customers, signaling a shift in the competitive landscape of AI assistants.

This paper investigates evaluation protocols for federated pre-trained models, showing that downstream fine-tuning does not reliably preserve pre-training quality rankings, while direct next-token prediction strongly aligns with pre-training perplexity.

An analysis of over 1,000 user posts documents how Perplexity's $20 Pro plan was quietly cut three times in eight months, with limits shrinking for Deep Research and search quotas, triggering cancellations and user anger.

Perplexity has open-sourced Numbat, a security suite that monitors AI coding agents running on employee laptops and workstations, detecting and blocking dangerous agent behavior.

Perplexity open-sources Numbat, an agent security suite designed to detect, prevent, and investigate dangerous AI agent activity on client endpoints, addressing novel security challenges from autonomous agents.

Perplexity has launched a Windows version of its Personal Computer AI agent tool, enabling users to perform actions across local files, Microsoft Office 365, and the web. The tool is rolling out to paying Max and Enterprise Max subscribers starting at $200 per month.

This paper investigates the discrepancy between log-likelihood and generation-based evaluation in distilled hybrid sequence models, showing that perplexity alone can be misleading. It introduces GenDistill, a pipeline for distilling Transformers into Hybrid-KDA models, achieving up to 75% KV cache reduction and 2-4x faster time-to-first-token while retaining 86-90% of teacher accuracy.

This paper investigates the high false positive rate of existing AI-text detectors when applied to patent claims, which are legally required to be clear and concise like LLM output, and proposes a logistic regression classifier based on linguistic complexity features that outperforms perplexity-based detectors on consumer hardware.

Perplexity AI's SPACE provides secure ephemeral sandboxes for AI agents, ensuring credential isolation and encrypted storage for sensitive tasks.

A deep dive into June's top grossing apps reveals ChatGPT led with $344.7M, while Claude, Grok, Perplexity, and PictureThis posted strong month-over-month growth driven by billing changes, new features, and seasonal utility.

Perplexity releases WANDR, an open benchmark and evaluation harness for research agents, consisting of 500 realistic data-collection tasks that require both wide discovery and deep verification. Initial results show even the strongest systems achieve low scores, highlighting that wide-and-deep research remains a challenging open problem.

Elon Musk reacts 'Cool' to a tweet about a personalized podcast player built using Grok 4.5 and Perplexity AI Computer that combines top podcast topics into a single stream.

This paper revisits the classic relation between language model perplexity and ASR word error rate in the context of modern end-to-end ASR systems, finding that while external LMs still improve WER, the log-log linear relation still holds but is affected by internal language modeling in encoder-decoder models.

Perplexity CEO Aravind Srinivas points out that the value in the AI industry is shifting from average users to heavy users. These users can consume large amounts of computing power. For example, a Meta engineer spent nearly $10 million a year on programming tools, and on Perplexity Computer, there are users spending over $10,000 per month running agent loops.

The paper introduces Telescope Perplexity, a metric that measures token repetition probability to detect LLM-generated text in a zero-shot manner, achieving state-of-the-art or competitive performance across diverse datasets.

A user complains that Perplexity AI quietly capped Pro subscription features (unlimited uploads and Deep Research) without notice, making the $200/year subscription feel wasted, and advises against subscribing.

Analyzes whether Perplexity Max offers the best value for accessing premium tiers of AI models like Gemini, ChatGPT, and Claude.

This paper reveals that the low generative perplexity (Gen-PPL) reported by continuous diffusion language models like ELF is misleading, as it rewards repetition; the authors identify a one-dimensional attractor in the self-conditioning loop as the cause and propose ACE, a simple fix that subtracts this direction to reduce repetition without sacrificing quality.

This paper studies sparse self-attention with Fibonacci-spaced offsets and per-layer scaling, finding that static layer-wise schedules outperform learned or fixed ones, and that sparse variants robustly extrapolate to 4x training length while dense attention collapses.