1. 15 Sep 2026

    Compressing An 11B VLM To 2.7-bit Weights For Mobile CPUs

    As multimodal AI moves from the cloud to personal devices, developers face a fundamental constraint. Capable vision-language models require far ...

    semiengineering.com ↗
  2. 14 Sep 2026

    AI has been carrying the stock market. An industry pause could pull the rug out, warns this ...

    Artificial intelligence has been a driver for corporate earnings this year, but safety calls by leading large-language-model developers could put ...

    www.marketwatch.com ↗
  3. 14 Sep 2026

    Z.AI raises $5 billion via share sale, bond issuance as Chinese AI developers ramp up R&D efforts

    Training clusters, inference infrastructure, data and talent constitute the principal cost items for large model companies. ... large language model ...

    www.globaltimes.cn ↗
  4. 12 Sep 2026

    Bodhan AI launches open-weight foundational AI models for Indic languages

    The models cover four core capabilities and are designed to help Indian developers deploy, adapt and fine-tune multilingual and multimodal AI · By ...

    www.thehindubusinessline.com ↗
  5. 10 Sep 2026

    OpenAI Researchers Urge Slowdown Amid Risk Warnings | AI News Detail

    Methods like constitutional AI and mechanistic interpretability are gaining traction as practical tools for developers seeking to embed safety ...

    blockchain.news ↗
  6. 08 Sep 2026

    Growth Outlook - Assured Solutions - Crunchbase

    Moonshot AI develops large language models, multimodal AI systems, and developer APIs, including Kimi K3. NEURA Robotics Logo. NEURA Robotics. 92.

    www.crunchbase.com ↗
  7. 07 Sep 2026

    OpenAI vs Anthropic: The Key Differences Shaping the AI Race - Analytics Insight

    OpenAI has developed a wide-ranging AI ecosystem spanning conversational assistants, developer tools, multimodal systems and enterprise products.

    www.analyticsinsight.net ↗
  8. 07 Sep 2026

    OpenAI vs Anthropic: The Key Differences Shaping the AI Race - Analytics Insight

    OpenAI's Approach. OpenAI has developed a wide-ranging AI ecosystem spanning conversational assistants, developer tools, multimodal systems and ...

    www.analyticsinsight.net ↗
  9. 27 Aug 2026

    Learning Developer‐Code Contribution Relationship to Improve Code Readability Assessment

    We first build a heterogeneous graph, where nodes represent developers and code files, and weighted edges quantify developers' contribution ratios. On ...

    onlinelibrary.wiley.com ↗
  10. 26 Aug 2026

    Study Finds Safety Guardrails in All Tested Open-Weight AI Models Can Be Disabled

    ... (LLMs). Model developers typically apply safety alignment—training the model to refuse inappropriate instructions—before releasing their work. But ...

    xenospectrum.com ↗
  11. 19 Aug 2026

    How agent-native video representations advance AVA Encoding - AI CERTs

    Developers describe this approach as representation learning driven by reconstruction fidelity. Meanwhile, textual gradients supply clear optimization ...

    www.aicerts.ai ↗
Sources

Where this comes from

Artificial Intelligence — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…

401 items Polled 22 Sep, 12:14 UTC 200

Agentic AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 12:14 UTC 200

AI Agents — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 12:14 UTC 200

Data Science — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 12:14 UTC 200

Large Language Model — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…

401 items Polled 22 Sep, 12:14 UTC 200

Machine Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 12:14 UTC 200

Deep Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…

401 items Polled 22 Sep, 12:14 UTC 200

LLMs Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…

45 items Polled 22 Sep, 12:14 UTC 200

AI Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…

401 items Polled 22 Sep, 12:14 UTC 200

Representation Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…

146 items Polled 22 Sep, 12:14 UTC 200

Reinforcement Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…

401 items Polled 22 Sep, 12:14 UTC 200

Generative AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

401 items Polled 22 Sep, 12:14 UTC 200

Multimodal AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…

401 items Polled 22 Sep, 12:14 UTC 200

Mechanistic Interpretability — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…

33 items Polled 22 Sep, 12:14 UTC 200

RLHF — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

32 items Polled 22 Sep, 12:14 UTC 200

Feeds are configured through the LEARN_FEEDS environment variable, so new sources can be added without a code change. Each poll sends the stored ETag and Last-Modified headers, so an unchanged feed answers 304 and costs the publisher nothing.