The Archive

Analysis of discourse-level side effects from LLM activation steering, showing unintended changes beyond perplexity metrics.

Diffusion language models improve adversarial prompt attacks on black-box LLMs by generating natural, harder-to-detect malicious inputs via learned text decoding.

main.content table { display:block; width:100%; max-width:100%; overflow-x:auto; } #evaluation-prompt pre { background:var(--bs-body-bg); color:var(--bs-body-color); padding:18px; border:1px solid var(--bs-border-color); border-radius:6px; } #evaluation-prompt pre code { color:inherit; white-space:pre-wrap; overflow-wrap:anywhere; } Decision models have exploded onto the scene recently, starting with TypeSafe’s Jev, followed by Perplexity’s Decider, Liquid’s d1, Cloudflare’s Clef, and OpenAI’s Decisions API1. These models promise fast, inexpensive classification. Decision models are an appeal...

and are now available on . Both are multimodal for classifying content, routing requests, and scoring text, structured records, and images.Perplexity Decider V1.2 27BDecider Flash V1.2 4BAI Gatewaydecision models The models answer typed questions with probabilities. Boolean questions return the likelihood of yes, Choice questions select from categories you define, and Score questions assess content against an ordered rubric. Your application can use those results to route a support ticket, flag a damaged product, or send an uncertain decision for human review. Multiple questions can share the...

Diffusion language models reconstruct masked tokens in parallel, offering an alternative to autoregressive generation. Yet their Transformer backbones typically carry visible evidence and evolving masked predictions through a single residual stream. We equip masked diffusion models with multiple residual streams that persist through depth and adaptive routing between them, then investigate how they support these complementary roles. On the pretraining task, two streams reduce reconstruction perplexity by 5.71% on validation data and 5.13% on average across external corpora compared with stand...

Generative search engines (ChatGPT, Gemini, Perplexity) cite web pages based on title/paragraph matching, not structured data or speed.

Comparison of LLM retrieval errors in environmental science journals: Claude, ChatGPT, Grok, DeepSeek, Perplexity, others tested on 2024-2025 citations.

Transformer KV caching architecture with shared global keys/values plus layer-specific local history reduces perplexity 1.4% vs. current-token baselines.

Perplexity deploys GPT-6 Astra for autonomous system management, monitoring, and code changes with reduced human oversight.

REER-PT: framework injecting reasoning annotations into raw pre-training data to improve LLM training efficiency.

Recirculation inference-time technique adds learned recurrence to transformers enabling stateful belief tracking, reducing perplexity with minimal latency overhead.

BayesPrompt reformulates prompt optimization as Bayesian inference to generate human-readable prompts with competitive perplexity.

Perplexity's India revenue rose about 60% after the Airtel offer ended for new users, even as downloads declined.

Reddit advances lawsuit accusing Perplexity AI of conspiring with web scraper.

TSDS framework deploys ReAct agents at edge via convergence probe for reasoning budget and perplexity-based deferral to cloud model.

Perplexity launches Model Council feature running up to 8 AI models simultaneously for comparative analysis.

Perplexity has expanded its agentic Personal Computer tool to Windows, allowing computers running the world's most popular OS to be used as a locally run AI system. Like the Mac version that Perplexity launched in April, Personal Computer for Windows operates like a "general-purpose digital worker" that can access local files and apps to perform actions on your behalf, such as creating documents and updating spreadsheets. This launch builds on Personal Computer integrations that Perplexity launched for Microsoft's 365 workspace apps and Teams virtual meeting software in May. Personal Computer...

Construction-Driven Injection embeds linguistically-grounded code-mixing fingerprints in LLMs to create verifiable ownership signals resistant to accidental activation and perplexity filtering.

Web analytics (Aug 2023–Oct 2025) show ChatGPT, Perplexity, Gemini drive measurable referral traffic to academic library resources, particularly theses databases.

PPL-Factory: task-aware perplexity-based data selection for efficient LLM fine-tuning across reasoning and language tasks.

Shows quantization from 8-bit to 2-bit induces behavioral divergence in LLMs beyond accuracy/perplexity metrics; introduces correctness agreement metric.

PALS adjusts per-layer sparsity in LLM pruning via activation percentiles, improving LLaMA-2-7B perplexity by 15% at 50% sparsity over uniform Wanda.

FourierQK applies FFT-based spectral preprocessing to query-key projections in transformer attention, achieving 79% perplexity reduction on character-level language modeling.

Mixed-precision LLM quantization shows perplexity-based layer importance poorly predicts reasoning performance; combining task and general data improves post-quantization results.

Sentence-level AI-generated text detection (S-AGTD) for hybrid documents, where humans and LLMs co-author one text, faces two gaps: existing methods classify each sentence in isolation, discarding inter-sentence dependencies, and existing benchmarks omit the newest generation of generators. We construct MOSAIC, a benchmark of 16,000 hybrid documents over PubMed and XSum, generated by DeepSeek-V3.2 and Kimi K2 under stringent quality controls including a perplexity-consistency filter absent from prior benchmarks. We recast S-AGTD as structured prediction over the document sentence sequence and...

This study examines training dynamics in a small Llama-style language model trained under a fixed, compute-constrained token budget. Rather than evaluating efficiency solely through endpoint performance, the study uses a quantitative experimental repeated measures design to analyze how validation loss, validation perplexity, rolling volatility, backslide behavior, spike behavior, and between-seed variability change across token-based training intervals. Six independent training runs were conducted on a 4.26-million-parameter model using the TinyStories corpus, CPU-based full-precision trainin...

Frontier AI systems are bridging the gap between intelligence and utility by shifting from conversational assistants to autonomous agents that execute tasks end to end. Using production data from Perplexity's Search and Computer products, we study this transition by examining how AI agents accelerate and reshape knowledge work. Three key empirical findings emerge. First, using sessions with near-identical initial query pairs as natural experiments for the same underlying task attempted with both products, Computer performs 26 minutes of autonomous work per user session, versus 33 seconds for ...

Going through the credit card statement, here's what I had active: Claude Pro (40), ChatGPT Plus (20), Cursor (20), Perplexity Pro (20), Notion AI (10), Granola (20), ElevenLabs Starter (5), Midjourney Basic (10), Gamma Pro (10), Beautiful.ai (12), Otter Pro (17), Loom Business (15), Zapier Pro (30), Make Core (10), Tactiq Pro (8), Descript Creator (15), Reclaim.ai Pro (8), Motion (19), Superhuman (30), one i can't remember the name of (10), some ai-something for instagram captions (11) Then I sat down and wrote next to each one the last time I'd actually used it. Not opened it, used it for...

CNN has filed a lawsuit against Perplexity, claiming that the startup's AI tools generate "verbatim" copies of its work, as reported earlier by CNN. The lawsuit, filed in a New York court on Thursday, also alleges that Perplexity provides users with information locked behind CNN's subscription. Perplexity, which offers an AI "answer" engine along with the AI browser Comet, is accused of ignoring CNN's efforts "to recognize or block Perplexity's unidentified crawlers" from scraping its content. "Human beings report, research, write, edit, and create the content that Perplexity takes without pe...

Computational study of LLM-generated political text detection across crisis events using behavioral analysis vs. perplexity signals.