Search: “persistence”

arXiv:2604.07595v1 Announce Type: cross Abstract: Language model agents reason from scratch on every query: each time an agent retrieves evidence and deliberates, the chain of thought is discarded and

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Model Releases

Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning

DGX agent

arXiv:2601.04268v2 Announce Type: replace Abstract: Weather and climate models rely on parametrisations to represent unresolved sub-grid processes. Traditional schemes rely on fixed coefficients that

model-releasesarxiv-cs-lg

10 Apr 2026

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models

model-releasesarxiv-cs-ai

arXiv:2604.06996v1 Announce Type: cross Abstract: LLM-as-a-judge has become the de facto approach for evaluating LLM outputs. However, judges are known to exhibit self-preference bias (SPB): they tend

Safety

SeMoBridge: Semantic Modality Bridge for Efficient Few-Shot Adaptation of CLIP

arXiv:2509.26036v3 Announce Type: replace Abstract: While Contrastive Language-Image Pretraining (CLIP) excels at zero-shot tasks by aligning image and text embeddings, its performance in few-shot cla

safetyarxiv-cs-cv

Safety

The Defense Trilemma: Why Prompt Injection Defense Wrappers Fail?

arXiv:2604.06436v2 Announce Type: cross Abstract: We prove that no continuous, utility-preserving wrapper defense-a function D: Xo X that preprocesses inputs before the model sees them-can make al

safetyarxiv-cs-ai

Safety

The Sustainability Gap in Robotics: A Large-Scale Survey of Sustainability Awareness in 50,000 Research Articles

arXiv:2604.07921v1 Announce Type: new Abstract: We present a large-scale survey of sustainability communication and motivation in robotics research. Our analysis covers nearly 50,000 open-access paper

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Research

Thinking in Graphs with CoMAP: A Shared Visual Workspace for Designing Project-Based Learning

arXiv:2604.06200v1 Announce Type: cross Abstract: Designing project-based learning (PBL) demands managing highly interdependent components, a task that both traditional linear tools and purely convers

researcharxiv-cs-ai

Towards Accurate and Calibrated Classification: Regularizing Cross-Entropy From A Generative Perspective

model-releasesarxiv-cs-lg

arXiv:2604.06689v1 Announce Type: new Abstract: Accurate classification requires not only high predictive accuracy but also well-calibrated confidence estimates. Yet, modern deep neural networks (DNNs

Tutorials

Tracking Adaptation Time: Metrics for Temporal Distribution Shift

arXiv:2604.07266v1 Announce Type: new Abstract: Evaluating robustness under temporal distribution shift remains an open challenge. Existing metrics quantify the average decline in performance, but fai

tutorialsarxiv-cs-lg

Tutorials

Using custom GPTs

Custom GPTs are tailored versions of ChatGPT that users can configure for specific tasks, roles, or workflows by setting instructions, uploading proprietary knowledge files, and enabling capabiliti...

tutorialsopenai

What’s new with Google Cloud

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Want to know the latest from Google Cloud? Find it here in one handy location. Check back regularly for our newest updates, announcements, resources, events, learning opportunities, and more. Tip: Not

Research

WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models

arXiv:2604.07957v1 Announce Type: cross Abstract: Vision-language models (VLMs) and generative world models are opening new opportunities for embodied navigation. VLMs are increasingly used as direct

researcharxiv-cs-cv

Agents

'Harnesses are intimately tied to memory, which means that by choosing an open harness you are choosing to own your memory, and not have it …

'Harnesses are intimately tied to memory, which means that by choosing an open harness you are choosing to own your memory, and not have it be locked into a proprietary harness or tied to a single mod

agentsharrison-chase--x

9 Apr 2026

Tools

ALTK‑Evolve: On‑the‑Job Learning for AI Agents

ALTK-Evolve, published by IBM Research, is a memory system for AI agents that enables on-the-job learning by helping agents improve over time, learning from and using guidelines generated from pre...

toolshugging-face

Meta's new model is Muse Spark, and meta.ai chat has some interesting tools

model-releasessimon-willison

Meta announced Muse Spark today, their first model release since Llama 4 almost exactly a year ago. It's hosted, not open weights, and the API is currently 'a private API preview to select users', but

Tutorials

New GKE Cloud Storage FUSE Profiles take the guesswork out of configuring AI storage

In the world of AI/ML, data is the fuel that drives training and inference workloads. For Google Kubernetes Engine (GKE) users, Cloud Storage FUSE provides high-performance, scalable access to data st

tutorialsgoogle-cloud-ai

Tools

Real-time inference for robots at Physical Intelligence

Physical Intelligence (Pi) is building a general-purpose robotic intelligence system whose core Visual-Language-Action (VLA) model takes visual observations, natural-language instructions, and the...

toolsmodal-blog

Agents

> which is exactly why we believe memory should live outside of model providers open harness = open memory which everyone should want!

> which is exactly why we believe memory should live outside of model providers open harness = open memory which everyone should want! The new Anthropic managed agents API is basically the Letta API t

agentsharrison-chase--x