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Aggregated from 15 sources, polled every 3 hours and deduplicated so the same story never appears twice. Links go straight to the publisher.

All sources Artificial Intelligence — Google401 Agentic AI — Google401 AI Agents — Google401 Data Science — Google401 Large Language Model — Google401 Machine Learning — Google401 Deep Learning — Google401 LLMs Alignment — Google47 AI Alignment — Google401 Representation Learning — Google154 Reinforcement Learning — Google401 Generative AI — Google401 Multimodal AI — Google401 Mechanistic Interpretability — Google36 RLHF — Google37
Topic

model

1048 articles mention this topic.

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AI Control: Safety Without Trusting the Model Adversarial Examples and the Threat Model Adversarial Losses as a Component Bayesian Model Comparison: Bayes Factors, PSIS-LOO and WAIC
Appears alongside
ai663 language430 language model414 learning278 llm162 machine124 reinforcement112 multimodal110 reinforcement learning110 data105
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  1. 08 Sep 2026

    God Help Us, Let's Try To Learn About Mechanistic Interpretability Techniques

    Mechanistic interpretability is the science of “reading an AI's mind”. Large language models are “grown, not built”. Researchers run training data ...

    www.astralcodexten.com ↗
  2. 07 Sep 2026

    Tabular LLMs: An Introduction to the Foundation Models That Predict Your Spreadsheet

    ... alignment problem, not a coverage problem — and most are shipping to production anyway · The AI jobs apocalypse probably isn't coming anytime soon.

    www.predictiveanalyticsworld.com ↗
  3. 06 Sep 2026

    Residual-enhanced contrastive learning improves knowledge-aware - Bioengineer.org

    The model performs contrastive learning not only within a single graph—distinguishing node-level representations against perturbed or augmented views— ...

    bioengineer.org ↗
  4. 04 Sep 2026

    Weakly supervised causal representation learning - arXiv

    Abstract. Learning high-level causal representations together with a causal model from unstructured low-level data such as pixels is impossible ...

    arxiv.org ↗
  5. 03 Sep 2026

    TMU AI Improves CT Decisions in the ER - QS GEN

    ... representation learning from noisy narrative data. This enables the model to extract meaningful diagnostic information from incomplete or irregular ...

    qs-gen.com ↗
  6. 02 Sep 2026

    Generative large language models in medicine: a scoping review of recent methodological advances

    ... align LLMs with human preferences and desired behavioral norms. While ... LLM embedding space, thereby enhancing vision-language alignment ...

    www.nature.com ↗
  7. 02 Sep 2026

    Development and external validation of a contrastive learning foundation model for ECG ...

    ... representation learning across a broad range of cardiovascular and outcome prediction tasks. More broadly, this work helps to clarify the role of ...

    www.thelancet.com ↗
  8. 02 Sep 2026

    Foundation Models for Blockchain Intelligence - TRM Labs

    This combination of public chain scale, proprietary attribution context, and transformer-based representation learning can be transformative for ...

    www.trmlabs.com ↗
  9. 01 Sep 2026

    Construction of self-supervised learning models for educational scenarios based on data ...

    The framework integrates masked educational interaction reconstruction, contrastive representation learning, temporal interaction-gap modeling, and ...

    www.nature.com ↗
  10. 01 Sep 2026

    A multi-center otoscopy study with external paired-cohort evaluation | PLOS One

    ... representation learning. Materials and methods. Data. To evaluate model generalizability and prevent data leakage, the training, validation, and ...

    journals.plos.org ↗
  11. 01 Sep 2026

    How AI Data Annotation Is Powering the Next Generation of AI Models - Analytics Insight

    Human feedback helps train AI models through RLHF, where people compare and rank responses to make AI more helpful, accurate, and safer.

    www.analyticsinsight.net ↗
  12. 01 Sep 2026

    Geo-Hete-HyperGNN as a prior-free molecular hypergraph representation learning strategy

    Molecular representation learning is a cornerstone of AI-driven chemical discovery. However, most molecular hypergraph models define hyperedges ...

    www.nature.com ↗
  13. 29 Aug 2026

    Interpretability without actionability: mechanistic methods cannot correct language model ...

    We compared four mechanistic interpretability methods -- concept bottleneck steering (Steerling-8B), sparse autoencoder feature steering, logit lens ...

    ui.adsabs.harvard.edu ↗
  14. 29 Aug 2026

    Mental bootstrapping enables human-level concept learning in self-supervised deep models

    humans construct complex concepts by bootstrapping from primitive representations through autonomous self- learning cycles and memory caching/reuse ...

    www.science.org ↗
  15. 29 Aug 2026

    Mental bootstrapping enables human-level concept learning in self-supervised deep models

    ... Learning Representations (ICLR, 2021). Google ... Bengio, A. Courville, P. Vincent, Representation learning: A review and new perspectives.

    www.science.org ↗
  16. 29 Aug 2026

    Imagining Trajectories Helps Detect Anomalies in Image-Based Reinforcement Learning

    The method, called Imagined Trajectory Representation Matching, or ITRM, uses a learned “world model” to predict how an environment should evolve and ...

    bioengineer.org ↗
  17. 28 Aug 2026

    Mental bootstrapping enables human-level concept learning in self-supervised deep models

    The same abstract concepts can be represented by different visual objects, and the same object can represent different abstract concepts in different ...

    www.science.org ↗
  18. 28 Aug 2026

    The World Model: The Emerging Hot Track for Modern Embodied Intelligence - 36氪

    Whether it is the generative model represented by Sora, the spatial intelligence model represented ... learning the statistical representation of the ...

    eu.36kr.com ↗
  19. 27 Aug 2026

    The Finance Lab Introduces TFL Bloodhound, a Financial Reasoning Model Trained on ...

    TFL_Bloodhound replaces the human evaluator in RLHF with realized market outcomes, and separates quantitative estimation from language reasoning ...

    www.digitaljournal.com ↗
  20. 26 Aug 2026

    Silico AI Interpretability Agents Map Model Behaviors - IEEE Spectrum

    Mechanistic interpretability tools span the gamut. One approach is mapping a model's activations in response to controlled prompts, and matching those ...

    spectrum.ieee.org ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

Agentic AI — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

AI Agents — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

Data Science — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

Large Language Model — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

Machine Learning — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

Deep Learning — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

LLMs Alignment — Google

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

47 items Polled 24 Sep, 03:15 UTC 200

AI Alignment — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

Representation Learning — Google

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

154 items Polled 24 Sep, 03:15 UTC 200

Reinforcement Learning — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

Generative AI — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

Multimodal AI — Google

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

401 items Polled 24 Sep, 03:15 UTC 200

Mechanistic Interpretability — Google

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

36 items Polled 24 Sep, 03:15 UTC 200

RLHF — Google

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

37 items Polled 24 Sep, 03:15 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.