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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.

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Results for “GitHub”

273 stories

AI ModelsBharatHunt Trend Score21

Timestral

arXiv·5 days ago
AI ModelsBharatHunt Trend Score24

Sharing AI progress in mathematics

Sharing AI progress in mathematics. It centres on OpenAI, and also names GitHub. Reported by OpenAI. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.

OpenAI·6 Oct 2026
AI ModelsBharatHunt Trend Score22

Evolving Agent Interfaces

Evolving Agent Interfaces. It centres on Meta, and also names GPT and Claude. 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·20 Oct 2026
AI ModelsBharatHunt Trend Score21

SkillAdam: Stable and Efficient Skill Evolution for Agents

SkillAdam: Stable and Efficient Skill Evolution for Agents. It centres on Benchmarks, and also names GitHub. 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 Sept 2026
AI ModelsBharatHunt Trend Score22

What Do RTL Repair Benchmarks Actually Measure?

What Do RTL Repair Benchmarks Actually Measure? It centres on Benchmarks, and also names GitHub. 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·20 Oct 2026
Generative AIBharatHunt Trend Score23

Feature Information Dynamics in Diffusion

Feature Information Dynamics in Diffusion. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Coding — the section covering text, image, audio and video generation — products and their output.

arXiv·6 Oct 2026
AI ModelsBharatHunt Trend Score21

Predicting and Repairing Merge Collapse in Large Language Models

Predicting and Repairing Merge Collapse in Large Language Models. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·2 Oct 2026
AI ModelsBharatHunt Trend Score24

RESIN: Multi-Chain Reasoning with Entity-Structured Indexing

RESIN: Multi-Chain Reasoning with Entity-Structured Indexing. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·19 Oct 2026
AI ModelsBharatHunt Trend Score22

The Dynamics of Collapse and Recovery in Clustered Federated Learning

The Dynamics of Collapse and Recovery in Clustered Federated Learning. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·20 Oct 2026
AI CodingBharatHunt Trend Score20

Microsoft is giving Copilot more control over Windows and your files

Microsoft is giving Copilot more control over Windows and your files. It centres on Microsoft, and also names GitHub Copilot. Reported by The Verge. Bharat Hunt files it under AI Coding and AI Tools — the section covering code generation, developer agents, IDEs and software engineering.

The Verge·7 Oct 2026
AI CodingBharatHunt Trend Score21

GitHub to developers: Copilot Fusion promises frontier-level AI coding at half the cost

GitHub to developers: Copilot Fusion promises frontier-level AI coding at half the cost. It centres on GitHub, and also names GitHub Copilot. Reported by The Indian Express. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.

The Indian Express·4 days ago
AI Coding

AdamX: Cosine similarity meets gradient descent

AdamX: Cosine similarity meets gradient descent. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.

arXiv·10 Sept 2026
Next page of AI stories

AI companies making noise

  • OpenAI↓ 53%
    8 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

Meta
↓ 63%
3 stories
I built an AI Tamagotchi before Meta could
  • Microsoft↓ 60%
    2 stories
    The biggest names in AI are backing a new way to opt out of scraping
  • NVIDIA↓ 75%
    2 stories
    Nvidia weighs playing the cosigner for Nscale’s AI data center in West Virginia
  • 🇮🇳 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.