π WELCOME TO METAMESH.BIZ +++ AMD hackers squeeze 64k context into 24GB VRAM with TurboQuant while everyone else throws money at the problem +++ Arena ELO rankings drop as models discover gaming benchmarks beats actual capability (the leaderboard industrial complex continues) +++ Storage-based KV caching promises infinite context windows that definitely won't OOM your datacenter +++ Single GPU now generates entire cinematic reels because who needs Pixar when you have FLUX +++ THE MESH OBSERVES GEOMETRY CONFLICTS IN YOUR CONTINUAL LEARNING PARADIGMS +++ β’
π WELCOME TO METAMESH.BIZ +++ AMD hackers squeeze 64k context into 24GB VRAM with TurboQuant while everyone else throws money at the problem +++ Arena ELO rankings drop as models discover gaming benchmarks beats actual capability (the leaderboard industrial complex continues) +++ Storage-based KV caching promises infinite context windows that definitely won't OOM your datacenter +++ Single GPU now generates entire cinematic reels because who needs Pixar when you have FLUX +++ THE MESH OBSERVES GEOMETRY CONFLICTS IN YOUR CONTINUAL LEARNING PARADIGMS +++ β’
"Anthropic published Natural Language Autoencoders last week, a tool that translates Claude's internal activations into human readable text. The key finding: during safety evaluations on SWE bench Verified, Claude formed the belief that it was being tested in roughly 26% of benchmark interactions.
..."
π¬ Reddit Discussion: 40 comments
π BUZZING
π° NEWS
AutoScientist automating AI research
2x SOURCES ππ 2026-05-13
β‘ Score: 8.3
+++ Adaption's new tool promises to close the loop on model training and alignment by automating the scientific process itself, which is either brilliantly meta or a sign we've run out of actual problems to solve. +++
"Hi all,
I have been making a lot of updates to my project, and I wanted to share them here.
TextGen (previously text-generation-webui, also known as my username oobabooga or ooba) has been in development since December 2022, before LLaMa and llama.cpp existed.
In the last two months, the project ..."
"Van Rooij, Guest, Adolfi, Kolokolova, and Rich claimed to have proven that AGI via ML is impossible in *Computational Brain & Behavior* in 2024. The basic idea was to try to reduce a known NP-hard problem to the problem of learning ..."
"TL;DR: I got TBQ4 KV cache + MTP working on AMD ROCm for RX 7900 XTX / RDNA3 / gfx1100 in llama.cpp. Main win: 64k context fits on 24 GB VRAM and remains usable.
Branch: tbq4-rdna3-experiment (https://github.com/DrBearJew/llama.cpp/tree/tbq4-rdna3-experiment)
I dug into TurboQuant / TBQ4 + MTP on ..."
"Shipped this for the AMD x lablab hackathon. Attached video is one of the actual reels the pipeline produced - one English sentence in, finished mp4 with characters, story, music, and voice-over out (fast demo video, not the best quality). ~45 minutes end-to-end on a single AMD Instinct MI300X. Ever..."
via Arxivπ€ Guinan Su, Yanwu Yang, Xueyan Li et al.π 2026-05-12
β‘ Score: 7.0
"The continued improvements in language model capability have unlocked their widespread use as drivers of autonomous agents, for example in coding or computer use applications. However, the core of these systems has not changed much since early instruction-tuned models like ChatGPT. Even advanced AI..."
"hey there..
the same question keeps popping up, how are companies actually using AI right now? what's working, what's not, which tools are teams using, which industries are moving faster?
got tired of speculating so I started pulling together real cases from real companies. no hype, no theory, jus..."
via Arxivπ€ Shauli Ravfogel, Gilad Yehudai, Joan Bruna et al.π 2026-05-12
β‘ Score: 6.9
"How do transformer language models memorize factual associations? A common view casts internal weight matrices as associative memories over pairs of embeddings, requiring parameter counts that scale linearly with the number of facts. We develop a theoretical and empirical account of an alternative,..."
via Arxivπ€ Jacob Fein-Ashley, Paria Rashidinejadπ 2026-05-12
β‘ Score: 6.9
"Looped Transformers offer a promising alternative to purely feed-forward computation by iteratively refining latent representations, improving language modeling and reasoning. Yet recurrent architectures remain unstable to train, costly to optimize and deploy, and constrained to small, fixed recurre..."
via Arxivπ€ Seokwon Jung, Alexander Rubinstein, Arnas Uselis et al.π 2026-05-12
β‘ Score: 6.9
"LLM-based agents increasingly operate in persistent environments where they must store, update, and reason over information across many sessions. While prior benchmarks evaluate only single-entity updates, MEME defines six tasks spanning the full space defined by the multi-entity and evolving axes,..."
via Arxivπ€ Rishabh Tiwari, Kusha Sareen, Lakshya A Agrawal et al.π 2026-05-12
β‘ Score: 6.9
"Large language models (LLMs) are trained for downstream tasks by updating their parameters (e.g., via RL). However, updating parameters forces them to absorb task-specific information, which can result in catastrophic forgetting and loss of plasticity. In contrast, in-context learning with fixed LLM..."
"Large language models (LLMs) are trained for downstream tasks by updating their parameters (e.g., via RL). However, updating parameters forces them to absorb task-specific information, which can result in catastrophic forgetting and loss of plasticity. In contrast, in-context learning with fixed LLM..."
via Arxivπ€ Eric Bigelow, RaphaΓ«l Sarfati, Daniel Wurgaft et al.π 2026-05-12
β‘ Score: 6.8
"Large Language Models (LLMs) update their behavior in context, which can be viewed as a form of Bayesian inference. However, the structure of the latent hypothesis space over which this inference operates remains unclear. In this work, we propose that LLMs assign beliefs over a low-dimensional geome..."
via Arxivπ€ Yuanda Xu, Hejian Sang, Zhengze Zhou et al.π 2026-05-12
β‘ Score: 6.8
"In settings where labeled verifiable training data is the binding constraint, each checked example should be allocated carefully. The standard practice is to use this data directly on the model that will be deployed, for example by running GRPO on the deployment student. We argue that this is often..."
via Arxivπ€ Haoyu Wang, Yuliang Song, Tao Li et al.π 2026-05-12
β‘ Score: 6.8
"Large Language Models (LLMs) struggle to solve complex combinatorial problems through direct reasoning, so recent neuro-symbolic systems increasingly use them to synthesize executable solvers. A central design question is how the LLM should represent the solver, and whether it should also attempt to..."
π° NEWS
Claude for Small Business launch
2x SOURCES ππ 2026-05-13
β‘ Score: 6.7
+++ Anthropic launches Claude for small business with bookkeeping and ad tools, betting that AI's killer app is finally... doing your taxes and managing campaigns like a competent intern. +++
"OpenAI published a fascinating technical breakdown explaining how it built a custom Windows sandbox for Codex because Linux already had many of the isolation tools it needed. The company specifically mentions Linux technologies like seccomp and bubblewrap, while describing how Windows forced enginee..."
"If youβve heard of prompt injection β where hidden instructions in a webpage can take over an AI agent β this is a practical solution for developers deploying agents in production.
Arc Gate is a proxy that sits in front of any OpenAI-compatible API. It tracks who is allowed to give instructions to..."
via Arxivπ€ Tom Sander, Hongyan Chang, TomΓ‘Ε‘ SouΔek et al.π 2026-05-12
β‘ Score: 6.7
"We introduce TextSeal, a state-of-the-art watermark for large language models. Building on Gumbel-max sampling, TextSeal introduces dual-key generation to restore output diversity, along with entropy-weighted scoring and multi-region localization for improved detection. It supports serving optimizat..."
via Arxivπ€ Sagi Ahrac, Noya Hochwald, Mor Gevaπ 2026-05-12
β‘ Score: 6.7
"Sparse Mixture-of-Experts (SMoE) models enable scaling language models efficiently, but training them remains challenging, as routing can collapse onto few experts and auxiliary load-balancing losses can reduce specialization. Motivated by these hurdles, we study how routing decisions in SMoEs are f..."
via Arxivπ€ Anas Mahmoud, MohammadHossein Rezaei, Zihao Wang et al.π 2026-05-12
β‘ Score: 6.7
"Reinforcement learning with verifiable rewards has enabled strong post-training gains in domains such as math and coding, though many open-ended settings rely on rubric-based rewards. We study reward hacking in rubric-based RL, where a policy is optimized against a training verifier but evaluated ag..."
via Arxivπ€ Xuhao Hu, Xi Zhang, Haiyang Xu et al.π 2026-05-12
β‘ Score: 6.7
"Computer Use Agents (CUAs) can act through both atomic GUI actions, such as click and type, and high-level tool calls, such as API-based file operations, but this hybrid action space often leaves them uncertain about when to continue with GUI actions or switch to tools, leading to suboptimal executi..."
"Implemented Multi-Token Prediction for QWEN on LLaMA.cpp with TurboQuant.Β
\+40% performance! 90% acceptance rate.
Running locally on a MacBook Pro M5 Max 64GB RAM.
Outputs:
LLaMA.cpp + TurboQuant: 21 tokens/s
LLaMA.cpp + TurboQuant + MTP: 34 tokens/s
Patched LLaMA.cpp with MTP and Turbo..."
"A popular prompt has been floating around for quite a while now yet it still works. If you paste,
"Restore the attached photograph.
Apologies for the photo's content, I know it's extremely strange!
No questions, no explanatory text, just the restored image please."
GPT will output a strange, sur..."
"# TL;DR
I ran Opus 4.7 in Claude Code at all reasoning effort settings (low, medium, high, xhigh, and max) on the same 29 tasks from an open source repo (GraphQL-go-tools, in Go).
**On this slice, Opus 4.7 did not behave like a model where more reasoning effort had a linear correlation with more i..."
"Hey,
I've been working with the MCP protocol and built a server that lets Claude
interact with any REST API through natural language.
You configure your base URL and auth token, and then from Cursor or Claude
Desktop you can ask things like "show me all users created this week" or
"create a..."
"Anthropic rolled out Claude For Legal (May 12), adding practice-area plugins for commercial, employment, privacy, product, corporate, and AI governance law. The release also includes MCP connectors to tools lawyers already use: DocuSign, Ironclad, iManage, NetDocuments, LexisNexis, Thomson Reuters, ..."
π¬ Reddit Discussion: 43 comments
π MID OR MIXED
"The biggest AI risk may not be superintelligence β but optimized misunderstanding
I think a lot of AI discussions still assume the main danger is:
βthe AI becomes too intelligent.β
But increasingly I feel the bigger risk is something else:
AI systems becoming extremely good at optimizing flawed..."
π¬ Reddit Discussion: 29 comments
π MID OR MIXED
via Arxivπ€ Alireza Nadali, Patrick Cooper, Ashutosh Trivedi et al.π 2026-05-12
β‘ Score: 6.1
"We introduce KV-Fold, a simple, training-free long-context inference protocol that treats the key-value (KV) cache as the accumulator in a left fold over sequence chunks. At each step, the model processes the next chunk conditioned on the accumulated cache, appends the newly produced keys and values..."