π WELCOME TO METAMESH.BIZ +++ DeepSeek's founder pledges $10B to open source while everyone else paywalls their safety research +++ Someone solved all 540 ARC-AGI tasks including the "impossible" ones (AGI benchmark speedrun any%) +++ BeeLlama hits 177 tokens/sec on a single 3090 because apparently we're optimizing for the apocalypse to run on gaming rigs +++ THE MESH OBSERVES DOMAIN-CAMOUFLAGED EXPLOITS HIDING IN YOUR MULTI-AGENT SYSTEMS +++ π β’
π WELCOME TO METAMESH.BIZ +++ DeepSeek's founder pledges $10B to open source while everyone else paywalls their safety research +++ Someone solved all 540 ARC-AGI tasks including the "impossible" ones (AGI benchmark speedrun any%) +++ BeeLlama hits 177 tokens/sec on a single 3090 because apparently we're optimizing for the apocalypse to run on gaming rigs +++ THE MESH OBSERVES DOMAIN-CAMOUFLAGED EXPLOITS HIDING IN YOUR MULTI-AGENT SYSTEMS +++ π β’
via Arxivπ€ Mirac Suzgun, Emily Shen, Federico Bianchi et al.π 2026-05-21
β‘ 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..."
π° NEWS
Anthropic free courses with certificates
2x SOURCES ππ 2026-05-21
β‘ Score: 8.0
+++ Anthropic released official free certification courses including agentic AI modules, which is genuinely useful for practitioners but will absolutely tank credential signal-to-noise on hiring platforms within weeks. +++
"Just found out about this and had to share because almost nobody is talking about it yet.
If you are tired of paying for AI courses or getting hit with paywalls just to get a certificate, Anthropic (the creators of Claude) quietly dropped a massive library of completely free, official training modu..."
"Anthropic dropping 13 completely free official courses with certificates is an absolute godsend for the community.
But letβs be real: half of us are going to power-speed through the developer modules, download the PDF, and immediately update our resumes to say *"Certified Expert in Agentic AI and M..."
via Arxivπ€ George Tsoukalas, Anton Kovsharov, Sergey Shirobokov et al.π 2026-05-21
β‘ Score: 7.9
"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..."
via Arxivπ€ Yunpeng Dong, Jingkai He, Yuze Hou et al.π 2026-05-21
β‘ 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..."
"OWASP released the Top 10 for Agentic Applications in December 2025 - the first formal risk taxonomy for autonomous AI agents. Not chatbots. Not copilots. Agents that plan, use tools, maintain memory, and act without waiting for permission.
Some numbers for context:
* 88% of enterprises reported A..."
π¬ Reddit Discussion: 7 comments
π MID OR MIXED
via Arxivπ€ Piercosma Bisconti, Matteo Prandi, Federico Pierucci et al.π 2026-05-21
β‘ 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..."
"Two papers dropped this week. Both about AI systems that run experiments autonomously.
I keep thinking about what this actually means at scale. We're not talking about AI helping researchers find papers faster or organize data. These are systems that form hypotheses, design experiments, and iterate..."
"I'm building a local-first agent β a plain ReAct loop (think, pick a tool,
observe, repeat) on a llama.cpp backend β 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 β write ..."
via Arxivπ€ Qianshu Cai, Yonggang Zhang, Xianzhang Jia et al.π 2026-05-21
β‘ 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,..."
"A bit late to this as the white paper hit arXiv a little less than two months ago, but nobody else here mentioned it so I thought I might.
A little background. Yann LeCun is a pioneer of deep learning and convolutional neural networks, LeCun served as Director of..."
via Arxivπ€ Caleb Winston, Ron Yifeng Wang, Azalia Mirhoseini et al.π 2026-05-20
β‘ Score: 6.8
"Computer-use agents (CUA) automate tasks specified with natural language such as "order the cheapest item from Taco Bell" by generating sequences of calls to tools such as click, type, and scroll on a browser. Current implementations follow a sequential fetch-screenshot-execute loop where each itera..."
via Arxivπ€ Long Phan, Devin Kim, Alexander Pan et al.π 2026-05-21
β‘ 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..."
"The headline is that Composer 2.5 is Cursor's strongest model and uses Kimi K2.5 as the base. Fine. The part I found more interesting is the targeted RL with text feedback.
Long agent rollouts fail in very local ways. One bad tool call. One confused explanation. One style mismatch. If you only rewa..."
via Arxivπ€ Abdullah Al Nomaan Nafi, Fnu Suya, Swarup Bhunia et al.π 2026-05-20
β‘ Score: 6.8
"Jailbreak attacks expose a persistent gap between the intended safety behavior of aligned large language models and their behavior under adversarial prompting. Existing automated methods are increasingly effective but each commits to a single attack family (e.g., one refinement loop, one tree search..."
via Arxivπ€ Mark Obozov, Maxime Griot, Joseph Cummings et al.π 2026-05-20
β‘ Score: 6.8
"Modern LLMs typically require multistage training pipelines to achieve strong downstream performance, with post-training serving as the main interface for adapting open-weight models. We introduce torchtune, a PyTorch-native library designed to streamline the post-training lifecycle of LLMs, enablin..."
via Arxivπ€ Kaiyi Zhang, Wei Wu, Yankai Linπ 2026-05-20
β‘ Score: 6.7
"Reinforcement learning from verifiable rewards (RLVR) has emerged as a central technique for improving the reasoning capabilities of large language models. Despite its effectiveness, how response-level rewards translate into token-level probability changes remains poorly understood. We introduce a d..."
via Arxivπ€ Bingchen Zhao, Dhruv Srikanth, Yuxiang Wu et al.π 2026-05-20
β‘ Score: 6.7
"As long-horizon coding agents produce more code than any developer can review, oversight collapses onto a single surface: the automated test suite. Reward hacking naturally arises in this setup, as the agent optimizes for passing tests while deviating from the users true goal. We study this reward h..."
via Arxivπ€ Sadia Asif, Mohammad Mohammadi Amiri, Momin Abbas et al.π 2026-05-21
β‘ 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 Arxivπ€ Benhao Huang, Zhengyang Geng, Zico Kolterπ 2026-05-20
β‘ Score: 6.7
"Scaling test-time compute by iteratively updating a latent state has emerged as a powerful paradigm for reasoning. Yet the internal mechanisms that enable these iterative models to generalize beyond memorized patterns remain unclear. We hypothesize that generalizable reasoning arises from learning t..."
via Arxivπ€ Sixiong Xie, Zhuofan Shi, Haiyang Shen et al.π 2026-05-20
β‘ Score: 6.7
"Deep research, in which an agent searches the open web, collects evidence, and derives an answer through extended reasoning, is a prominent use case for frontier language models. Frontier deep research products score high on existing benchmarks, making it difficult to distinguish their capabilities..."
via Arxivπ€ Xiaoqiang Wang, Chao Wang, Hadi Nekoei et al.π 2026-05-20
β‘ Score: 6.6
"We present Mem-$Ο$, a framework for adaptive memory in large language model (LLM) agents, where useful guidance is generated on demand rather than retrieved from external memory stores. Existing memory-augmented agents typically rely on similarity-based retrieval from episodic memory banks or skill..."
via Arxivπ€ Can Hankendi, Rana Shahout, Minlan Yu et al.π 2026-05-20
β‘ Score: 6.6
"Large language model (LLM) inference has become a dominant workload in modern data centers, driving significant GPU utilization and energy consumption. While prior systems optimize throughput and latency by batching, scheduling, and parallelism, they largely treat GPU power as a static constraint ra..."
via Arxivπ€ Zhepei Wei, Xinyu Zhu, Wei-Lin Chen et al.π 2026-05-20
β‘ Score: 6.6
"Reinforcement learning with verifiable rewards (RLVR) has become a dominant paradigm for improving reasoning in large language models (LLMs), yet the underlying geometry of the resulting parameter trajectories remains underexplored. In this work, we demonstrate that RLVR weight trajectories are extr..."
"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 Arxivπ€ Mohamed Almukhtar, Anwar Ghammam, Hua Mingπ 2026-05-20
β‘ Score: 6.5
"As AI agents increasingly contribute to code development and maintenance, there is still limited empirical evidence on the quality and risk characteristics of their changes in real-world projects, particularly for refactoring-oriented contributions. It remains unclear how agent-authored refactoring..."
via Arxivπ€ Ryan Bahlous-Boldi, Isha Puri, Idan Shenfeld et al.π 2026-05-21
β‘ 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..."
"Long Claude sessions still break on context decay. Handoffs are the simple fix: compress what matters, start a fresh agent, keep going.
Matt Pocock's new `handoff` skill (repo) does this in one command. It compac..."
"Natively trained spiking language models struggle to combine Transformer-like language quality, stable multi-domain pre-training, and high activation sparsity. We present SymbolicLight V1, a spike-gated dual-path language model that combines binary Leaky Integrate-and-Fire spike dynamics with a cont..."
"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..."
"Running Claude with MCP for a couple months now, it really does feel like a whole new product. The ability to run real tools (file system, API, database, etc.) connected to Claude, and never have to cut/paste from context again, is huge.
I'm trying a bunch of servers, some are pretty good and some ..."
"Real-time edge AI vision just got better.
Weβve released Embedl SAM3 for TensorRT, a fully reproducible, end-to-end deployment of facebook/sam3 on NVIDIA GPUs (Jetson AGX Orin, Nano), with INT8 post-training quantization built with Emb..."
"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..."
π¬ Reddit Discussion: 19 comments
π GOATED ENERGY
"that meme on the chatgpt subreddit is so spot on ngl. we have antigravity ,claude code, for backend they are great no i mean very good at there task cursor too not going to miss on that one for ui stitch and runable its dedicated ui/ux tunning creates stunning ui anyone can create good website with ..."
"A study into the evolution of ChatGPT users should be conducted π
Day 1: "Can you explain Python loops?"
Day 30: "Build me Windows 12, solve AGI, optimize everything in my life, launch my startup, and don't fuck up."
The scale of overconfidence is just crazy. Give one decent answer and we all ins..."
π¬ Reddit Discussion: 70 comments
π MID OR MIXED
"45 scientists spent 469 hours comparing human and AI reviews across 82 papers. AI reviewers held their own against top-rated human reviewers, though with some weaknesses."
"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..."
"RPS is inspired by neuroscience. As humans, we learn basic skills as kids with high neuro-plasticity. We then learn advanced skills as teens and adults with low neuro-plasticity. RPS trains a model in 2 stages. In stage 1, the model is trained on easy data with high learning rate. In stage 2, the mo..."
"Hey everyone,
The Model Context Protocol (MCP) is amazing for standardizing how agents talk to data, but I got incredibly frustrated every time I wanted to quickly test a new remote MCP server. Writing custom client-side boilerplate or wrestling with CLI tools just to see if a tool actually exposes..."
via Arxivπ€ Lucheng Fu, Ye Yu, Yiyang Wang et al.π 2026-05-20
β‘ Score: 6.1
"Large language models (LLMs) are highly sensitive to the prompts used to specify task objectives and behavioral constraints. Many recent prompt optimization methods iteratively rewrite prompts using LLM-generated feedback, but the resulting prompts often become longer, accumulate narrow sample-speci..."
"Most CV pipelines I've seen send frames or crops to a hosted model API at some point, for OCR, captioning, classification, or a multimodal model doing the heavy lifting. The part that rarely gets discussed:
a lot of that data is personal or biometric. Faces, license plates, people in public sp..."