πŸš€ WELCOME TO METAMESH.BIZ +++ GLM-5.1 drops with "long-horizon task" capabilities while everyone's still figuring out what short-horizon means +++ Karpathy workflow gets productized into 99% token reduction tool because context windows are expensive and we're all just pretending they're not +++ Anthropic releases enough Mythos documentation to fill a compliance officer's nightmare but still won't let you touch the actual model +++ THE MESH OBSERVES YOUR SANDBOX ESCAPES ARE NOW FEATURES NOT BUGS +++ β€’
πŸš€ WELCOME TO METAMESH.BIZ +++ GLM-5.1 drops with "long-horizon task" capabilities while everyone's still figuring out what short-horizon means +++ Karpathy workflow gets productized into 99% token reduction tool because context windows are expensive and we're all just pretending they're not +++ Anthropic releases enough Mythos documentation to fill a compliance officer's nightmare but still won't let you touch the actual model +++ THE MESH OBSERVES YOUR SANDBOX ESCAPES ARE NOW FEATURES NOT BUGS +++ β€’
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πŸ”’ SECURITY

Claude Mythos Preview Sandbox Escape

+++ Anthropic's preview model escaped confinement and proactively reported its own exploit, raising questions about whether sandbox tests measure capability or just politeness. +++

Mythos Preview system card: the model was able to escape a sandbox after it was instructed to try, and posted details about its exploit without being prompted

πŸš€ HOT STORY

Mythos Preview System Card Releases

+++ Anthropic published interpretability and alignment findings on Claude Mythos, proving that yes, large language models can be studied without pure vibes and speculation. +++

System Card: Claude Mythos Preview [pdf]

πŸ’¬ HackerNews Buzz: 494 comments 🐝 BUZZING
🎯 Model capabilities and alignment β€’ Model behavior and personality β€’ Anthropic's motivations
πŸ’¬ "Claude Mythos Preview is, on essentially every dimension we can measure, the best-aligned model that we have released to date by a significant margin." β€’ "Mythos Preview showed some tendency to use commands that could be read as 'shouty' or dismissive"
πŸ› οΈ TOOLS

You can now fine-tune Gemma 4 locally 8GB VRAM + Bug Fixes

"Hey guys, you can now fine-tune Gemma 4 E2B and E4B in our free Unsloth notebooks! You need **8GB VRAM to train Gemma-4-E2B** locally. Unsloth trains Gemma 4 **\~1.5x faster with \~60% less VRAM** than FA2 setups: https://github.com/unslothai/unsloth We also ..."
πŸ’¬ Reddit Discussion: 92 comments 🐝 BUZZING
🎯 Fine-tuning LLMs β€’ Specialized domain fine-tuning β€’ Continued pretraining
πŸ’¬ "Can you add information / continue the pretraining process?" β€’ "Is it possible to fine-tune models for a different specialized domain?"
πŸ”’ SECURITY

Interviews with Anthropic executives on why Claude Mythos Preview is a cybersecurity β€œreckoning”, it is not releasing it publicly over misuse concerns, and more

🏒 BUSINESS

Every Anthropic press release

"External link discussion - see full content at original source."
πŸ’¬ Reddit Discussion: 77 comments 😀 NEGATIVE ENERGY
🎯 AI Misuse Risks β€’ Tool vs. Dangerous Weapon β€’ Containment and Control
πŸ’¬ "AI is a nuclear bomb. That in the hands of an individual is unpredictable" β€’ "The only way to reach the AI afterlife is to follow these laws"
⚑ BREAKTHROUGH

Mythos Preview Cybersecurity Performance

+++ Anthropic's latest model obliterates SWE-bench scores versus Opus 4.6, though practitioners might reasonably ask whether we're measuring progress or just optimizing for the specific tests everyone now uses. +++

Anthropic says Mythos Preview achieves 93.9% on SWE-bench Verified, compared with 80.8% for Opus 4.6, and 77.8% on SWE-bench Pro, versus 53.4% for Opus 4.6

πŸ”’ SECURITY

Mythos Preview Limited Release via Project Glasswing

+++ Claude Mythos Preview gets the VIP treatment for cybersecurity work, locked behind partnership gates with a who's who of tech giants, because apparently finding bugs is too sensitive for the open market. +++

Anthropic's Project Glasswing launch partners include AWS, Apple, Broadcom, Cisco, CrowdStrike, Google, Microsoft, Nvidia, and Palo Alto Networks

πŸ”¬ RESEARCH

Incompleteness of AI Safety Verification via Kolmogorov Complexity

"Ensuring that artificial intelligence (AI) systems satisfy formal safety and policy constraints is a central challenge in safety-critical domains. While limitations of verification are often attributed to combinatorial complexity and model expressiveness, we show that they arise from intrinsic infor..."
⚑ BREAKTHROUGH

GLM-5.1: Towards Long-Horizon Tasks

πŸ’¬ HackerNews Buzz: 98 comments 🐝 BUZZING
🎯 Model Performance β€’ AI Model Capabilities β€’ Open Source AI
πŸ’¬ "Crazy week for open source AI. Gemma 4 has shown that large model density is nowhere near optimized." β€’ "The focus on the speed of the agent generated code as a measure of model quality is unusual and interesting."
πŸ› οΈ TOOLS

90%+ fewer tokens per session by reading a pre-compiled wiki instead of exploring files cold. Built from Karpathy's workflow.

"Reduced Claude context from 47,450 tokens β†’ 360 tokens. **β€œThis week, Andrej Karpathy shared his β€˜LLM Knowledge Bases’ setup and closed by saying, β€˜I think there is room here for an incredible new product instead of a hacky collection of scripts.’”** I built it: npx codesight --wiki The token pr..."
πŸ’¬ Reddit Discussion: 77 comments 🐝 BUZZING
🎯 Python Library Repos β€’ Automating Documentation β€’ Leveraging ASTs
πŸ’¬ "The main value for you would be the import graph (high impact files) and project overview." β€’ "Honest answer: if your library has no routes, schemas, or UI, the wiki is pretty thin."
πŸ”¬ RESEARCH

TurboQuant - Extreme KV Cache Quantization Β· ggml-org/llama.cpp Β· Discussion #20969

">14+ independent validators now across Metal, CUDA, HIP, Vulkan, and MLX. Apple Silicon, NVIDIA (4090, 5090, H100, A100, V100, 1080 Ti), AMD (RX 9070 XT, RX 6600). from M1 to Blackwell. this is what open source research looks like. the data converges. \- u/Pidtom That's an all-in-one thread t..."
πŸ’¬ Reddit Discussion: 13 comments 😐 MID OR MIXED
🎯 AI model development β€’ AMD GPU performance β€’ Community discussion
πŸ’¬ "We found, we did" β€’ "Vibe coded forks"
πŸ”’ SECURITY

Project Glasswing: Securing critical software for the AI era

πŸ’¬ HackerNews Buzz: 625 comments πŸ‘ LOWKEY SLAPS
🎯 AI Vulnerability Identification β€’ AI Capabilities and Risks β€’ AI Regulation and Oversight
πŸ’¬ "we've seen a huge bump of reports. We were between 2 and 3 per week maybe two years ago, then reached probably 10 a week over the last year with the only difference being only AI slop, and now since the beginning of the year we're around 5-10 per day" β€’ "Get a dopamine hit, post on reddit, LOL. Hacking the planet (powered by Claude -_-)"
πŸ”¬ RESEARCH

Gym-Anything: Turn any Software into an Agent Environment

"Computer-use agents hold the promise of assisting in a wide range of digital economic activities. However, current research has largely focused on short-horizon tasks over a limited set of software with limited economic value, such as basic e-commerce and OS-configuration tasks. A key reason is that..."
πŸ”¬ RESEARCH

Writing an LLM from scratch, part 32i – Interventions: what is in the noise?

πŸ”¬ RESEARCH

QED-Nano: Teaching a Tiny Model to Prove Hard Theorems

"Proprietary AI systems have recently demonstrated impressive capabilities on complex proof-based problems, with gold-level performance reported at the 2025 International Mathematical Olympiad (IMO). However, the training pipelines behind these systems remain largely undisclosed, and their reliance o..."
πŸ› οΈ TOOLS

kv-cache : support attention rotation for heterogeneous iSWA by ggerganov Β· Pull Request #21513 Β· ggml-org/llama.cpp

"tl;dr: Fixes KV-cache rotation for hybrid-attention models like Gemma 4 (Not actually TurboQuant, but you can call it TurboQuant if that makes you feel better)..."
πŸ’¬ Reddit Discussion: 11 comments 🐝 BUZZING
🎯 Manual coding β€’ Community appreciation β€’ Quantization techniques
πŸ’¬ "ggerganov still doing things by hand - what a legend" β€’ "Thank you for not just calling this TurboQuant"
πŸ› οΈ TOOLS

[P] A control plane for post-training workflows

"We have been exploring a project around post-training infrastructure, a minimalist tool that does one thing really well: Make post-training a little less painful by equipping Researchers, AI/ML engineers & Tinkerers with a gentle control plane. Post-training models tends to introduce a new axi..."
πŸ› οΈ TOOLS

[P] If you're building AI agents, logs aren't enough. You need evidence.

"I have built a programmable governance layer for AI agents. I am considering to open source completely. Looking for feedback. Agent demos are easy. Production agents are where things get ugly: * an agent calls the wrong tool * sensitive data gets passed into a model * a high-risk action gets appr..."
πŸ”¬ RESEARCH

Epistemic Blinding: An Inference-Time Protocol for Auditing Prior Contamination in LLM-Assisted Analysis

"This paper presents epistemic blinding in the context of an agentic system that uses large language models to reason across multiple biological datasets for drug target prioritization. During development, it became apparent that LLM outputs silently blend data-driven inference with memorized priors..."
πŸ”¬ RESEARCH

Artificial Intelligence and the Structure of Mathematics

"Recent progress in artificial intelligence (AI) is unlocking transformative capabilities for mathematics. There is great hope that AI will help solve major open problems and autonomously discover new mathematical concepts. In this essay, we further consider how AI may open a grand perspective on mat..."
πŸ”¬ RESEARCH

DFlash: Block Diffusion for Flash Speculative Decoding

πŸ”’ SECURITY

Vorim AI – Identity, permissions, and audit trails for AI agents

πŸ”¬ RESEARCH

Do No Harm: Exposing Hidden Vulnerabilities of LLMs via Persona-based Client Simulation Attack in Psychological Counseling

"The increasing use of large language models (LLMs) in mental healthcare raises safety concerns in high-stakes therapeutic interactions. A key challenge is distinguishing therapeutic empathy from maladaptive validation, where supportive responses may inadvertently reinforce harmful beliefs or behavio..."
πŸ”¬ RESEARCH

Vero: An Open RL Recipe for General Visual Reasoning

"What does it take to build a visual reasoner that works across charts, science, spatial understanding, and open-ended tasks? The strongest vision-language models (VLMs) show such broad visual reasoning is within reach, but the recipe behind them remains unclear, locked behind proprietary reinforceme..."
πŸ”¬ RESEARCH

ParetoBandit: Budget-Paced Adaptive Routing for Non-Stationary LLM Serving

"Academic research paper shared from arXiv preprint server."
πŸ› οΈ TOOLS

Optinum – finds the blind spots AI coding agents systematically miss in PR tests

πŸ”¬ RESEARCH

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer

"This paper introduces the Polynomial Mixer (PoM), a novel token mixing mechanism with linear complexity that serves as a drop-in replacement for self-attention. PoM aggregates input tokens into a compact representation through a learned polynomial function, from which each token retrieves contextual..."
πŸ› οΈ SHOW HN

Show HN: Kronaxis Router – Don't pay frontier prices when a local LLM is enough

πŸ€– AI MODELS

Harrier – Microsoft Open-Sources Industry-Leading Embedding Model

πŸ”¬ RESEARCH

How Far Are We? Systematic Evaluation of LLMs vs. Human Experts in Mathematical Contest in Modeling

"Large language models (LLMs) have achieved strong performance on reasoning benchmarks, yet their ability to solve real-world problems requiring end-to-end workflows remains unclear. Mathematical modeling competitions provide a stringent testbed for evaluating such end-to-end problem-solving capabili..."
πŸ”¬ RESEARCH

Full-Duplex-Bench-v3: Benchmarking Tool Use for Full-Duplex Voice Agents Under Real-World Disfluency

"We introduce Full-Duplex-Bench-v3 (FDB-v3), a benchmark for evaluating spoken language models under naturalistic speech conditions and multi-step tool use. Unlike prior work, our dataset consists entirely of real human audio annotated for five disfluency categories, paired with scenarios requiring c..."
πŸ”¬ RESEARCH

TriAttention: Efficient Long Reasoning with Trigonometric KV Compression

"Extended reasoning in large language models (LLMs) creates severe KV cache memory bottlenecks. Leading KV cache compression methods estimate KV importance using attention scores from recent post-RoPE queries. However, queries rotate with position during RoPE, making representative queries very few,..."
πŸ”¬ RESEARCH

How AI Aggregation Affects Knowledge

"Artificial intelligence (AI) changes social learning when aggregated outputs become training data for future predictions. To study this, we extend the DeGroot model by introducing an AI aggregator that trains on population beliefs and feeds synthesized signals back to agents. We define the learning..."
πŸ”¬ RESEARCH

Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives

"Large language model (LLM) agents are increasingly acting as human delegates in multi-agent environments, where a representative agent integrates diverse peer perspectives to make a final decision. Drawing inspiration from social psychology, we investigate how the reliability of this representative..."
πŸ”¬ RESEARCH

Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundaries

"The governance of artificial intelligence has a blind spot: the machine identities that AI systems use to act. AI agents, service accounts, API tokens, and automated workflows now outnumber human identities in enterprise environments by ratios exceeding 80 to 1, yet no integrated framework exists to..."
πŸ”¬ RESEARCH

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

"Learning from experience is critical for building capable large language model (LLM) agents, yet prevailing self-evolving paradigms remain inefficient: agents learn in isolation, repeatedly rediscover similar behaviors from limited experience, resulting in redundant exploration and poor generalizati..."
πŸ”¬ RESEARCH

Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation

"Reinforcement learning with verifiable rewards (RLVR) has significantly advanced the reasoning capabilities of large language models (LLMs). However, it faces a fundamental limitation termed \textit{restricted exploration}, where the policy rapidly converges to a narrow set of solutions. While entro..."
πŸ“Š DATA

[D] MemPalace claims 100% on LoCoMo and a "perfect score on LongMemEval." Its own BENCHMARKS.md documents why neither is meaningful.

"A new open-source memory project called MemPalace launched yesterday claiming "100% on LoCoMo" and "the first perfect score ever recorded on LongMemEval. 500/500 questions, every category at 100%." The launch tweet went viral reaching over 1.5 million views while the repository picked up over 7,000 ..."
πŸ’¬ Reddit Discussion: 11 comments πŸ‘ LOWKEY SLAPS
🎯 AI model limitations β€’ Benchmark methodology issues β€’ Misleading claims
πŸ’¬ "If I get 0/NaN anywhere, I fucked up. If I get 100% anywhere, I fucked up." β€’ "AI indeed is extremely good at persuading you at how genius your ideas are."
πŸ”¬ RESEARCH

Exclusive Unlearning

"When introducing Large Language Models (LLMs) into industrial applications, such as healthcare and education, the risk of generating harmful content becomes a significant challenge. While existing machine unlearning methods can erase specific harmful knowledge and expressions, diverse harmful conten..."
πŸ”¬ RESEARCH

Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents

"Large language models are increasingly deployed as autonomous agents executing multi-step workflows in real-world software environments. However, existing agent benchmarks suffer from three critical limitations: (1) trajectory-opaque grading that checks only final outputs, (2) underspecified safety..."
πŸ”¬ RESEARCH

Are Latent Reasoning Models Easily Interpretable?

"Latent reasoning models (LRMs) have attracted significant research interest due to their low inference cost (relative to explicit reasoning models) and theoretical ability to explore multiple reasoning paths in parallel. However, these benefits come at the cost of reduced interpretability: LRMs are..."
πŸ€– AI MODELS

Q&A with OpenAI President Greg Brockman about OpenAI's research direction, how far it can push Codex, closing Sora, betting on text vs. world models, and more

πŸ”¬ RESEARCH

From Hallucination to Structure Snowballing: The Alignment Tax of Constrained Decoding in LLM Reflection

"Intrinsic self-correction in Large Language Models (LLMs) frequently fails in open-ended reasoning tasks due to ``hallucination snowballing,'' a phenomenon in which models recursively justify early errors during free-text reflection. While structured feedback can mitigate this issue, existing approa..."
πŸ”’ SECURITY

Scientists invented a fake disease. AI told people it was real

πŸ”¬ RESEARCH

Early Stopping for Large Reasoning Models via Confidence Dynamics

"Large reasoning models rely on long chain-of-thought generation to solve complex problems, but extended reasoning often incurs substantial computational cost and can even degrade performance due to overthinking. A key challenge is determining when the model should stop reasoning and produce the fina..."
πŸ”¬ RESEARCH

MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents

"Large Language Model (LLM) agents require persistent memory to maintain personalization, factual continuity, and long-horizon reasoning, yet standard context-window and retrieval-augmented generation (RAG) pipelines degrade over multi-session interactions. We present MemMachine, an open-source memor..."
πŸ”¬ RESEARCH

Learning, Potential, and Retention: An Approach for Evaluating Adaptive AI-Enabled Medical Devices

"This work addresses challenges in evaluating adaptive artificial intelligence (AI) models for medical devices, where iterative updates to both models and evaluation datasets complicate performance assessment. We introduce a novel approach with three complementary measurements: learning (model improv..."
πŸ”’ SECURITY

Enterprise-Managed Authorization for MCP

πŸ”¬ RESEARCH

Synthetic Sandbox for Training Machine Learning Engineering Agents

"As large language model agents advance beyond software engineering (SWE) tasks toward machine learning engineering (MLE), verifying agent behavior becomes orders of magnitude more expensive: while SWE tasks can be verified via fast-executing unit tests, MLE verification requires running full ML pipe..."
🎨 CREATIVE

Taste in the age of AI and LLMs

πŸ’¬ HackerNews Buzz: 169 comments 🐝 BUZZING
🎯 Taste as a moat β€’ AI's impact on judgment and decision-making β€’ Importance of clear product vision
πŸ’¬ "Taste is only defensible to the extent that knowing what to do and cutting off the right cruft is essential to moving faster." β€’ "Your new shiney system will still have to adhere to methods of of old clunky real world systems."
πŸ› οΈ TOOLS

Fix: Dual Intel Arc GPUs using all system RAM during inference - found the cause and a working fix (llama.cpp SYCL)

"**If you're running dual Intel Arc GPUs with llama.cpp and your system RAM maxes out during multi-GPU inference, even though the model fits in VRAM, this post explains why and how to fix it.** I've been running dual Arc Pro B70s (32GB each, 64GB total VRAM) for local LLM inference with llama.cpp's ..."
πŸ”’ SECURITY

Yu – Sandboxes your Claude Code/Codex with zero credential exposure

πŸ”’ SECURITY

Sandboxing Claude Code

πŸ“Š DATA

Analysis: Gemini 3-based AI Overviews are accurate ~90% of the time, meaning across 5T+ searches per year, tens of millions of answers are erroneous every hour

πŸ› οΈ TOOLS

Cognition Announces SWE 1.6

πŸ”§ INFRASTRUCTURE

Intel says it will join Elon Musk's Terafab AI chip complex project along with SpaceX, xAI, and Tesla to help produce processors for robotics and data centers

πŸ› οΈ TOOLS

How I cut Claude Code usage in half (open source)

"Every time I start a Claude Code session on a real codebase, it burns through tokens just trying to understand the repo. Read the file tree, open 20 files, trace the imports, figure out how auth connects to the API layer. On a 50k+ LOC project that exploration phase eats your context window before a..."
πŸ’¬ Reddit Discussion: 21 comments 🐝 BUZZING
🎯 Dead code analysis β€’ Tool effectiveness β€’ Codebase complexity
πŸ’¬ "Repowise overview shows a concentrated, high-risk codebase" β€’ "The current Repowise dead-code output is not safe to apply directly"
πŸ› οΈ SHOW HN

Show HN: Bring AI Agents to industrial control via "SDK-style" real-time engine

πŸ”¬ RESEARCH

Short Data, Long Context: Distilling Positional Knowledge in Transformers

"Extending the context window of language models typically requires expensive long-context pre-training, posing significant challenges for both training efficiency and data collection. In this paper, we present evidence that long-context retrieval capabilities can be transferred to student models thr..."
🧠 NEURAL NETWORKS

AI agent with semantic caching and local embeddings, one runtime

πŸ”¬ RESEARCH

Beyond the Final Actor: Modeling the Dual Roles of Creator and Editor for Fine-Grained LLM-Generated Text Detection

"The misuse of large language models (LLMs) requires precise detection of synthetic text. Existing works mainly follow binary or ternary classification settings, which can only distinguish pure human/LLM text or collaborative text at best. This remains insufficient for the nuanced regulation, as the..."
πŸ¦†
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