🚀 WELCOME TO METAMESH.BIZ +++ OWASP drops Agent Memory Guard because apparently nobody thought to ask what happens when you let LLMs remember everything forever +++ Nexa-gauge arrives with per-node scoring controls (global metrics are dead, long live granular paranoia) +++ FERC still promising that June grid proposal while data centers continue their unscheduled power plant mukbang +++ YOUR AI AGENT'S MEMORIES ARE SOMEONE ELSE'S ATTACK VECTOR +++ •
🚀 WELCOME TO METAMESH.BIZ +++ OWASP drops Agent Memory Guard because apparently nobody thought to ask what happens when you let LLMs remember everything forever +++ Nexa-gauge arrives with per-node scoring controls (global metrics are dead, long live granular paranoia) +++ FERC still promising that June grid proposal while data centers continue their unscheduled power plant mukbang +++ YOUR AI AGENT'S MEMORIES ARE SOMEONE ELSE'S ATTACK VECTOR +++ •
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📰 NEWS

Sources detail AI companies' engagement with US FERC as the energy regulator readies a June proposal to speed up data center connections to regional power grids

🛠️ SHOW HN

Show HN: OWASP Agent Memory Guard – Stop AI Agent Memory Poisoning

🔬 RESEARCH

LLMSurgeon: Diagnosing Data Mixture of Large Language Models

"The pretraining data mixture of Large Language Models (LLMs) constitutes their "digital DNA", shaping model behaviors, capabilities, and failure modes. Yet this composition is rarely disclosed, making post-hoc auditing of data combination or provenance difficult. In this work, we formalize $\textbf{..."
🔬 RESEARCH

Gram: Assessing sabotage propensities via automated alignment auditing

"We introduce Gram, an automated alignment auditing framework to assess the propensity of AI agents to engage in sabotage. We evaluate Gemini models across 17 simulated agentic deployment scenarios that incentivize sabotage. We find Gemini models misbehave in about 2-3% of our simulated trajectories...."
📰 NEWS

Nexa-gauge – LLM evaluation framework with per-node scoring controls

🔬 RESEARCH

SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?

"Autonomous AI research agents aim to accelerate scientific discovery by automating the research pipeline, from hypothesis generation to peer review. However, existing benchmarks rarely test a fundamental bottleneck: whether Large Language Models can judge the methodological viability of a research i..."
📰 NEWS

OpenRouter raises $113M Series B

💬 HackerNews Buzz: 122 comments 👍 LOWKEY SLAPS
🔬 RESEARCH

Physics Is All You Need? A Case Study in Physicist-Supervised AI Development of Scientific Software

"Are AI agents tools, co-authors, or researchers? We present a quantified case study ($N=1$): a physicist supervising an AI coding agent (Claude Code, Sonnet and Opus models) over 12 work days and 57 sessions to build CLAX-PT, a differentiable one-loop perturbation theory module in JAX. We documented..."
🔬 RESEARCH

Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments

"Embodied intelligence is often studied through specialized models for individual tasks such as manipulation or navigation, resulting in fragmented capabilities and limited generalization across tasks, environments, and robot embodiments. In this work, we study whether heterogeneous embodied decision..."
🔬 RESEARCH

MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings

"Large language models (LLMs) show promise for clinical reasoning and decision support, but evaluation in realistic, electronic health record-congruent settings remains limited. Existing benchmarks often rely on static datasets or unstructured inputs that do not reflect the structured, interoperable..."
💰 FUNDING

SoftBank pledges to invest up to €75B in AI computing clusters in France, first leading a €45B investment to build 3.1GW of capacity by 2031 in Hauts-de-France

🔬 RESEARCH

Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM Agents

"Multi-component LLM agents assemble probabilistic claims from components that each see only part of a joint problem; the composition can violate basic probability axioms even when every component is locally coherent. We formalise this locally coherent, globally incoherent failure via the composition..."
🔬 RESEARCH

Reasoning with Sampling: Cutting at Decision Points

"Frontier reasoning models are produced by posttraining base language models with reinforcement learning. Recent work has challenged this by showing that sampling from a sharpened version of the base model's distribution, a so-called power distribution, elicits comparable reasoning without additional..."
📰 NEWS

A standard for building production AI agents (+ installable Claude Code skills)

📰 NEWS

Open models lag closed models by 4 months

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