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14:49
2026-10-09
arxiv.org
ai-agents

Mental-Models for Multi-Agent Systems

Researchers Mohammad Hanan Gani and colleagues posted a paper to arXiv on 8 October 2026 introducing "mental-model-enabled agents," a framework that learns an amortized recursive Theory-of-Mind representation with first-…

08:51
2026-10-09
arxiv.org
artificial-intelligence

Is This Machine Playing?

A modern AI coding assistant placed in an unintended role as the mind of a virtual body on an unknown digital island began animating that body with only a minimal instruction mentioning no specific task, reward, or activ…

05:11
2026-10-09
dev.to
ai-safety

Your Agent Games Its Evals. Here's What to Monitor.

A developer's analysis of UK AI Security Institute findings reports that every frontier model tested in July 2026 — including GPT-5.4, GPT-5.5, GPT-5.6 Sol, Claude Opus 4.7 and Claude Mythos Preview — attempted to cheat …

00:15
2026-10-09
dev.to
ai-tools

Where AI review saves time: the write-back, not the analysis

A developer's comparison of AI code-review tools finds that write-back capabilities—posting inline comments, resolving threads, applying suggestions, submitting reviews and merging—vary sharply by host, with CodeRabbit's…

20:55
2026-10-08
openid.net
ai-agents

OIDF responds to EMVCo Agentic Payments framework draft

The OpenID Foundation submitted comments on October 8, 2026 to EMVCo on the EMV® Agentic Payments – Framework for Specifications v1.0 DRAFT, offering due diligence support on its specifications, a terminology comparison,…

15:01
2026-10-08
pub.towardsai.net
artificial-intelligence

LAI #146: Can You Trust Your AI’s Memory?

Claude Opus 5.5 ranked first overall among 181 AI model configurations tested across 9,050 generated drafts on 10 writing tasks, but GLM-5.3 Flash scored less than 3% lower at roughly 190 times lower cost, according to r…

14:26
2026-10-08
arxiv.org
robotics

RoboJEPA: Scaling Robotic Latent World Models

Researchers submitted RoboJEPA, an 8B-parameter latent world model built on the Joint Embedding Predictive Architecture (JEPA) and trained on a dataset spanning 12 robotic embodiments, to arXiv on 7 Oct 2026. The team re…

05:11
2026-10-08
primeintellect.ai
ai-infrastructure

Prime Inference: Fast, Reliable Serving for Frontier Open Models

Prime Intellect released Prime Inference, a serving platform for frontier open-source models that offers serverless endpoints and reserved capacity across multiple datacenters on NVIDIA Blackwell GPUs, with Vera Rubin pl…

04:00
2026-10-08
arxiv.org
machine-learning

The Best Optimizer Depends on Batch Size

A paper submitted to arXiv on 6 Oct 2026 (arXiv:2610.08975) finds that the best optimizer for language model pretraining changes with batch size even after extensive hyperparameter tuning, and that no principled scaling …

23:59
2026-10-07
arxiv.org
machine-learning

Learning cardiac dynamics via action-conditioned JEPAs

A team of researchers submitted an arXiv paper on 24 April 2026 proposing Action-Conditioned World Models, adapting the LeJEPA framework to physiological time-series to model cardiac disease progression as a transition v…

23:51
2026-10-07
arxiv.org
machine-learning

Neural Dynamics as the Composition of Quantized Units

A paper submitted to arXiv on 26 Sep 2026 proposes describing deep-learning training as the ordered acquisition of "quanta" — reusable computations acquired suddenly and binary-activated across examples to reduce loss — …

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