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AI Trending

What’s Trending in AI Right Now?

The latest AI news, launches, models, companies and research — collected from official sources, research feeds and reporting, grouped into stories and ranked by the BharatHunt Trend Score.

Ingestion is behind — last completed run was 19 hours ago.

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The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.

Results for “Perplexity”

45 stories

AI AgentsBharatHunt Trend Score21

Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems

Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems. It centres on Benchmarks, and also names RAG and Hugging Face. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.

arXiv·8 Sept 2026
AI ModelsBharatHunt Trend Score21

HySPE: Positional Encoding via Symplectic Dual Shears

HySPE: Positional Encoding via Symplectic Dual Shears. The story centres on Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.

arXiv·7 Oct 2026
AI ModelsBharatHunt Trend Score22

Telescopic Language Models

Telescopic Language Models. It centres on Nothing, and also names Inference and Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.

arXiv·28 Sept 2026
AI ModelsBharatHunt Trend Score23

Rethinking Length-Based Training: Batch Composition and Loss Normalization in Speech Token Language Models

Rethinking Length-Based Training: Batch Composition and Loss Normalization in Speech Token Language Models. The story centres on Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·22 Sept 2026
AI ModelsBharatHunt Trend Score21

Beyond Causal Masks: Auditing and Localizing Hidden Future-Token Leakage in Adaptive Sequence Models

Beyond Causal Masks: Auditing and Localizing Hidden Future-Token Leakage in Adaptive Sequence Models. It centres on Benchmarks, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·22 Oct 2026
Generative AIBharatHunt Trend Score21

Writerslogic at PAN 2026: Process over Content for Robust Detection under Domain Shift

Writerslogic at PAN 2026: Process over Content for Robust Detection under Domain Shift. It centres on Benchmarks, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under Generative AI — the section covering text, image, audio and video generation — products and their output.

arXiv·2 Oct 2026
AI ModelsBharatHunt Trend Score21

MoSAR: Mixture of Semantic Attention Regimes for Learning Adaptive and Approximable Attention Geometries

MoSAR: Mixture of Semantic Attention Regimes for Learning Adaptive and Approximable Attention Geometries. It centres on Perplexity, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·25 Sept 2026
AI ModelsBharatHunt Trend Score21

Looking Inside LLMs: Small-World Connectivity as a Signature of Reasoning Performance

Looking Inside LLMs: Small-World Connectivity as a Signature of Reasoning Performance. It centres on Perplexity, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·8 Oct 2026
AI ModelsBharatHunt Trend Score24

MS-GLA: Multi-Scale Gated Linear Attention for Addressing Representational Bottlenecks via Multi-Temporal Resolution

MS-GLA: Multi-Scale Gated Linear Attention for Addressing Representational Bottlenecks via Multi-Temporal Resolution. It centres on Perplexity, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·28 Sept 2026
AI Models

RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding

RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding. It centres on Phi, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·9 Sept 2026
AI ModelsBharatHunt Trend Score21

Advancing SVD-based LLM Compression via Layer-Wise Error Model Search

Advancing SVD-based LLM Compression via Layer-Wise Error Model Search. It centres on Mistral AI, and also names Llama and Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·23 Oct 2026
AI ModelsBharatHunt Trend Score23

SOL: Measuring Gaps between Text Distributions by Double Sliced Wasserstein Metrics

SOL: Measuring Gaps between Text Distributions by Double Sliced Wasserstein Metrics. It centres on Perplexity, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·5 Oct 2026
Next page of AI stories

AI companies making noise

  • OpenAI↓ 61%
    7 stories
    OpenAI cuts funding target by $10 billion: FT
  • Google↓ 63%
    3 stories
    The biggest names in AI are backing a new way to opt out of scraping
  • Anthropic↓ 57%
    3 stories
    How a Contractor’s Claude Agent Got Into the Pentagon

Bharat Hunt links to original reporting and does not republish it. Headlines and links belong to their publishers; summaries and the trend ranking are ours. All AI stories

Microsoft
↓ 60%
2 stories
The biggest names in AI are backing a new way to opt out of scraping
  • MeitY
    2 stories
    MeitY unveils DEPA handbook to enable trusted data sharing for AI training
  • Meta↓ 78%
    2 stories
    I built an AI Tamagotchi before Meta could
  • 🇮🇳 AI in India

    See all
    • How voice AI is transforming banking and insurance: Desible.ai founders on the business behind the technologyEnterprise AI·Yesterday
    • MeitY unveils DEPA handbook to enable trusted data sharing for AI trainingAI in India·Yesterday
    • Freshworks Acquires AI Startup Robusta To Strengthen IT Operations PlatformAI Startups·3 days ago
    • Alliant targets 1 GW of new data-center contracts in six months as power demand surgesAI Hardware·2 days ago

    AI funding

    See all
    • ByteAsk$1 million
      Undisclosed
      Indian Startup News
    • Dextr AI$6.7 Mn
      Seed
      BW Disrupt
    • ByteAsk$1 Mn
      Pre-seed·Led by Y Combinator
      Entrackr
    • Ema$77 Mn
      Series B·Led by Creaegis
      Entrackr
    • Brahma AI$150 million
      Undisclosed
      Indian Startup News

    How the BharatHunt Trend Score works

    Our own 0-100 ranking, not an industry metric and not anyone else’s “trending” number. It combines how recently a story was covered (32%), how many independent publications covered it (28%), how fast that coverage is arriving right now (20%), how reliable those sources are (12%) and how many people opened the story (8%).

    A story we cannot date carries no score at all rather than a made-up one, so some cards show no badge. Summaries are written by Bharat Hunt from the headline and the coverage — the original article is always the source of truth, and every link goes to the publisher.