13 articles tagged with #perplexity. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
CNN has filed a copyright infringement lawsuit against Perplexity, an AI company, over the use of its content in AI-generated responses. The case highlights growing legal tensions between content creators and AI firms, with potential industry-wide implications for how AI systems are trained and deployed.
CNN has sued Perplexity, alleging the AI startup's search engine generates verbatim copies of its news content and provides access to paywalled articles without permission. The lawsuit claims Perplexity ignored CNN's crawler-blocking efforts while profiting from human-created journalism without compensation.
Researchers introduce Leviathan, a Transformer architecture that decouples input embeddings from output projections using learned embedding vectorization (LEV), achieving 9% perplexity reduction at 1.2B parameters with minimal overhead. The approach concentrates improvements on rare tokens while requiring 2.1x fewer training tokens to match baseline performance.
Researchers introduce Mixture-of-Depths Attention (MoDA), a new mechanism for large language models that allows attention heads to access key-value pairs from both current and preceding layers to combat signal degradation in deeper models. Testing on 1.5B-parameter models shows MoDA improves perplexity by 0.2 and downstream task performance by 2.11% with only 3.7% computational overhead while maintaining 97.3% of FlashAttention-2's efficiency.
A research study reveals that AI-powered search engines like Perplexity, SearchGPT, and Google Gemini produce highly variable citation results for identical queries, making single-run visibility metrics unreliable. The study demonstrates that citation distributions follow power-law patterns with substantial variability, and argues that uncertainty estimates are essential for accurate measurement of domain visibility in generative search.
A court has blocked Perplexity from using AI agents to conduct shopping activities on Amazon's platform. This ruling represents increasing legal scrutiny over AI's role in digital commerce and could significantly impact how AI tools interact with major online platforms moving forward.
Researchers introduce the Cognitive Categorical Transformer (CCT), a 306M-parameter language model that applies category-theoretic principles to improve upon GPT-2 Small, achieving 12% relative perplexity reduction on WikiText-103. The work provides empirical validation that simplicial message passing enhances language modeling performance and identifies a distinction between topology-adding versus consistency-enforcing categorical priors.
Researchers challenge the widespread practice of using global token perplexity to evaluate generative spoken language models, arguing this metric fails to account for fundamental differences between speech and text modalities. The study proposes alternative likelihood- and generative-based evaluation methods that correlate more strongly with human perception, revealing that performance gaps between leading models and human baselines are smaller than previously believed.
Dmitry Shevelenko argues that consumer AI adoption has stalled and that revenue metrics are more meaningful than user growth numbers for evaluating AI company performance. He highlights Perplexity's ARR growth as evidence of a widening gap between AI technological capabilities and actual consumer behavior, suggesting this disconnect is the primary constraint limiting mainstream AI adoption.
Perplexity has launched its Personal Computer AI agent tool to all Mac users, expanding access beyond its previous limited availability. This release represents a significant step in democratizing AI agent technology for consumer applications.
CoreWeave, a specialized AI cloud infrastructure provider, secured a multi-year partnership deal with AI search company Perplexity to power their workloads, causing CoreWeave's shares to rise. The partnership underscores the increasing demand for specialized cloud services tailored to AI applications as the industry scales.
Perplexity has launched Perplexity Computer, a new system that the company claims unifies all current AI capabilities into a single platform. This represents another strategic bet that users prefer accessing multiple AI models through one integrated system rather than switching between different AI services.
Perplexity has announced 'Computer,' a new AI agent system that can delegate tasks to other AI agents. The system is positioned as a more controlled and safer alternative to the OpenClaw concept.
