🚀 WELCOME TO METAMESH.BIZ +++ Claude Code RCE exploit pattern found everywhere (your production agents are probably vulnerable right now) +++ Microsoft admits AI costs more than humans which is awkward timing for everyone's 2025 roadmaps +++ Anthropic's Glasswing quietly found 10,000 critical vulns while we were all distracted by reasoning benchmarks +++ THE MESH SEES YOUR ORCHESTRATION MODELS GETTING SMALLER WHILE YOUR EXPLOIT SURFACES EXPAND +++ •
🚀 WELCOME TO METAMESH.BIZ +++ Claude Code RCE exploit pattern found everywhere (your production agents are probably vulnerable right now) +++ Microsoft admits AI costs more than humans which is awkward timing for everyone's 2025 roadmaps +++ Anthropic's Glasswing quietly found 10,000 critical vulns while we were all distracted by reasoning benchmarks +++ THE MESH SEES YOUR ORCHESTRATION MODELS GETTING SMALLER WHILE YOUR EXPLOIT SURFACES EXPAND +++ •
Claude Mythos & Project Glasswing Vulnerability Discovery
2x SOURCES 🌐📅 2026-05-22
⚡ Score: 8.4
+++ Anthropic's vulnerability-hunting model has already surfaced five figures worth of security issues, suggesting either Claude is genuinely useful or the bar for "critical severity" has gotten creative. +++
via Arxiv👤 Mirac Suzgun, Emily Shen, Federico Bianchi et al.📅 2026-05-21
⚡ Score: 8.1
"AI chatbots are rapidly shaping how people encounter the news, yet no prior study has systematically measured how accurately these systems, with their proprietary search integrations and retrieval-synthesis pipelines, handle emerging facts across languages and regions. We present a 14-day (February..."
via Arxiv👤 Yunpeng Dong, Jingkai He, Yuze Hou et al.📅 2026-05-21
⚡ Score: 7.8
"LLM-powered AI agents require high-frequency state exploration (e.g., test-time tree search and reinforcement learning), relying on rapid checkpoint and rollback (C/R) of the complete sandbox state, including files and process state (e.g., memory, contexts, etc.). Existing mechanisms duplicate the e..."
via Arxiv👤 Piercosma Bisconti, Matteo Prandi, Federico Pierucci et al.📅 2026-05-21
⚡ Score: 7.3
"Background. Traditional safety benchmarks for language models evaluate generated text: whether a model outputs toxic language, reproduces bias, or follows harmful instructions. When models are deployed as agents, the safety-relevant object shifts from what the system says to what it does within an e..."
"I'm building a local-first agent — a plain ReAct loop (think, pick a tool,
observe, repeat) on a llama.cpp backend — and I want to be precise about a
question that usually just gets answered with "it depends."
It does depend. So let me split it into two jobs:
(a) Heavy one-shot generation — write ..."
"Hi guys, been exploring here for a while, wanted to share something we've been working on. It's called Spice, an open-source decision layer above agents.
We have tons of great execution agents now — Claude Code, Codex, hermes, etc. They're good at doing stu..."
via Arxiv👤 Qianshu Cai, Yonggang Zhang, Xianzhang Jia et al.📅 2026-05-21
⚡ Score: 6.9
"Autonomous agentic systems are largely static after deployment: they do not learn from user interactions, and recurring failures persist until the next human-driven update ships a fix. Self-evolving agents have emerged in response, but all confine evolution to text-mutable artifacts -- skill files,..."
via Arxiv👤 Long Phan, Devin Kim, Alexander Pan et al.📅 2026-05-21
⚡ Score: 6.8
"Large language models (LLMs) exhibit systematic political bias across a variety of sensitive contexts. We find that LLMs handle counterpart topics from opposing political sides asymmetrically. We refer to this phenomenon as covert political bias and identify 7 categories of techniques through which..."
via Arxiv👤 Sadia Asif, Mohammad Mohammadi Amiri, Momin Abbas et al.📅 2026-05-21
⚡ Score: 6.7
"Large language model (LLM)-based multi-agent systems increasingly rely on intermediate communication to coordinate complex tasks. While most existing systems communicate through natural language, recent work shows that latent communication, particularly through transformer key-value (KV) caches, can..."
via Arxiv👤 George Tsoukalas, Anton Kovsharov, Sergey Shirobokov et al.📅 2026-05-21
⚡ Score: 6.7
"Large language models (LLMs) increasingly excel at mathematical reasoning, but their unreliability limits their utility in mathematics research. A mitigation is using LLMs to generate formal proofs in languages like Lean. We perform the first large-scale evaluation of this method's ability to solve..."
"Late 2025, MIT researchers measured something the industry had avoided looking at directly. Not projections or pilot numbers. Documented outcomes from 300 AI deployments in real businesses, tracked against profit metrics.
The funnel breaks down like this. Sixty percent of companies evaluated AI too..."
"Large language models are routinely used as automated evaluators: to review code, moderate content, or score outputs, often with many items passing through one conversation. We ask whether the polarity of prior conversation history biases subsequent judgments, an effect we call the accumulated messa..."
via Arxiv👤 Ryan Bahlous-Boldi, Isha Puri, Idan Shenfeld et al.📅 2026-05-21
⚡ Score: 6.5
"Language models must now generalize out of the box to novel environments and work inside inference-scaling search procedures, such as AlphaEvolve, that select rollouts with a variety of task-specific reward functions. Unfortunately, the standard paradigm of LLM post-training optimizes a pre-specifie..."
"Probably most of you are aware that using anything other than `-ctk q8_0 -ctv q8_0 / -ctk q4_0 -ctv q4_0` as startup options for llama.cpp leads to prompt processing on cpu instead of gpu for cuda at least. E.g. when we use the frequently suggested mix of `-ctk q8_0 -ctv q4_0` pps tanks.
I have dis..."
"This is for all with 12GB VRAM.
Hi, I created a fork of llama.cpp with an experimental implementation of experts instead of layers. The reason is I own an RTX 2060 with 12GB VRAM. That sounds big but is too little for dense models. That is why I use mainly MoE models because of that. The problem is..."
"Hi everyone,
I'm presenting a new quantization of the Qwen-27B model, created specifically with 16GB VRAM NVIDIA GPUs in mind. I used quants that, unfortunately, are not yet available in the main upstream `llama.cpp`. I'm talking about the KS and KSS quants developed by ikawrakow. After many trials..."