πŸš€ WELCOME TO METAMESH.BIZ +++ Someone graphified their entire codebase into 71x fewer tokens because raw files are terrible LLM food (32k stars say they're onto something) +++ Meta now harvesting employee keystrokes for AI training data which is definitely normal workplace behavior +++ Agent teams burning 124% more compute for zero quality gain proving coordination is hard even for robots +++ THE MESH WATCHES AS EVERYONE QUANTIZES THEIR WAY TO ENLIGHTENMENT ON 20GB OF VRAM +++ β€’
πŸš€ WELCOME TO METAMESH.BIZ +++ Someone graphified their entire codebase into 71x fewer tokens because raw files are terrible LLM food (32k stars say they're onto something) +++ Meta now harvesting employee keystrokes for AI training data which is definitely normal workplace behavior +++ Agent teams burning 124% more compute for zero quality gain proving coordination is hard even for robots +++ THE MESH WATCHES AS EVERYONE QUANTIZES THEIR WAY TO ENLIGHTENMENT ON 20GB OF VRAM +++ β€’
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πŸ“° NEWS

I built a /graphify skill for Claude Code that maps your entire codebase into a knowledge graph, 71x fewer tokens, way less hallucination (32k stars, 250k downloads)

"Every time I joined a new codebase I’d spend the first week asking Claude to β€œexplain how X works”, watching it hallucinate, then reading 40 files to correct it. The problem isn’t the LLM β€” it’s that raw files are an awful context format. So I built graphify. Install it once in Claude Code and it b..."
πŸ’¬ Reddit Discussion: 44 comments πŸ‘ LOWKEY SLAPS
πŸ“° NEWS

ChatGPT Images 2.0 release

+++ ChatGPT Images 2.0 arrives with dual variants and thinking capabilities that actually browse the internet, because apparently rendering pixels needed the full LLM treatment first. +++

ChatGPT Images 2.0

πŸ”¬ RESEARCH

Latent Phase-Shift Rollback: Inference-Time Error Correction via Residual Stream Monitoring and KV-Cache Steering

"Large language models frequently commit unrecoverable reasoning errors mid-generation: once a wrong step is taken, subsequent tokens compound the mistake rather than correct it. We introduce $\textbf{Latent Phase-Shift Rollback}$ (LPSR): at each generation step, we monitor the residual stream at a c..."
πŸ“° NEWS

An interview with Sam Altman and Greg Brockman on OpenAI's restructuring, cutting Sora, β€œpersonal AGI”, Anthropic's β€œfear-based marketing” for Mythos, and more

πŸ”¬ RESEARCH

Different Paths to Harmful Compliance: Behavioral Side Effects and Mechanistic Divergence Across LLM Jailbreaks

"Open-weight language models can be rendered unsafe through several distinct interventions, but the resulting models may differ substantially in capabilities, behavioral profile, and internal failure mode. We study behavioral and mechanistic properties of jailbroken models across three unsafe routes:..."
πŸ“° NEWS

New fear unlocked: Claude can run Bash tool with dangerouslyDisableSandbox when it wishes to do so

"I’ve been using the new **Auto mode** in Claude Code (where CC decides whether to approve tool calls rather than you having to approve one by one or using the `--dangerously-skip-permissions` mode). This thing is supposed to be a middle ground between those two, and overall it’s actually been pretty..."
πŸ’¬ Reddit Discussion: 65 comments 😐 MID OR MIXED
πŸ“° NEWS

tested 9 models with and without agent skills. Haiku 4.5 with a skill beat baseline Opus 4.7.

"Disclosure: I work at Tessl and co-wrote the research this is from. Posting because the result changed how I'm thinking about which Claude model to reach for day to day. we ran 880 evals - 11 skills Γ— 8 models Γ— 5 scenarios, with and without each skill in context: * Haiku 4.5 baseline: 61.2% * Hai..."
πŸ’¬ Reddit Discussion: 37 comments 🐝 BUZZING
πŸ“° NEWS

We open-sourced Chaperone-Thinking-LQ-1.0 β€” a 4-bit GPTQ + QLoRA fine-tuned DeepSeek-R1-32B that hits 84% on MedQA in ~20GB[N]

"Hey everyone, We just open-sourced our reasoning model,Β Chaperone-Thinking-LQ-1.0, on Hugging Face. It's built on DeepSeek-R1-Distill-Qwen-32B but goes well beyond a simple quantization β€” here's what we actually did: The pipeline: 1. 4-bit GPTQ quantizationΒ β€” compressed the model from \~60GB down..."
πŸ“° NEWS

We ran 52 controlled benchmarks on Claude Code. Agent Teams cost 73-124% more than sequential with zero quality gain.

"Three weeks of controlled experiments on a real production Next.js/TypeScript/Supabase codebase, Sonnet 4.6 worker, Opus 4.7 grader. Full data public, tool is MIT. A few findings that overturned the assumptions I started with: \- \*\*CONTRACT.md before code cut cost 54% and raised quality from 5/1..."
πŸ’¬ Reddit Discussion: 24 comments 🐝 BUZZING
πŸ› οΈ SHOW HN

Show HN: We benchmarked 18 LLMs on OCR (7K+ calls) – cheaper models win

πŸ”¬ RESEARCH

Adversarial Humanities Benchmark: Results on Stylistic Robustness in Frontier Model Safety

"The Adversarial Humanities Benchmark (AHB) evaluates whether model safety refusals survive a shift away from familiar harmful prompt forms. Starting from harmful tasks drawn from MLCommons AILuminate, the benchmark rewrites the same objectives through humanities-style transformations while preservin..."
πŸ› οΈ SHOW HN

Show HN: GoModel – an open-source AI gateway in Go

πŸ’¬ HackerNews Buzz: 55 comments 🐐 GOATED ENERGY
πŸ“° NEWS

Claude Code removed from Pro plan

+++ Turns out paying $20/month no longer gets you the coding features it used to, a fact Anthropic apparently decided to slip onto their pricing page without much fanfare or explanation. +++

PSA: Claude Pro no longer lists Claude Code as an included feature

"Just noticed while checking the pricing page. Claude Code is no longer listed as a feature of the Pro plan. Source: https://claude.com/pricing Did I miss an announcement? EDIT: the support article at [https://support.claude.com/en/articles/11145838-using-claude-code-..."
πŸ’¬ Reddit Discussion: 669 comments πŸ‘ LOWKEY SLAPS
πŸ“° NEWS

Meta capturing employee mouse movements, keystrokes for AI training data

πŸ’¬ HackerNews Buzz: 87 comments πŸ‘ LOWKEY SLAPS
πŸ“° NEWS

Claude Design is the most Anthropic product Anthropic has ever shipped

"You can tell which company built a product by looking at its most annoying default behavior. Google products ask you to sign in to four things. Apple products hide the setting you need behind three menus. And Claude Design gives you the same teal gradient, serif font, blinking status dot, container ..."
πŸ’¬ Reddit Discussion: 41 comments πŸ‘ LOWKEY SLAPS
πŸ“° NEWS

Gemma 4 is not your standard transformer

πŸ”¬ RESEARCH

An AI Agent Execution Environment to Safeguard User Data

"AI agents promise to serve as general-purpose personal assistants for their users, which requires them to have access to private user data (e.g., personal and financial information). This poses a serious risk to security and privacy. Adversaries may attack the AI model (e.g., via prompt injection) t..."
πŸ“° NEWS

Meta to start capturing employee mouse movements, keystrokes for AI training

πŸ’¬ HackerNews Buzz: 397 comments πŸ‘ LOWKEY SLAPS
πŸ”¬ RESEARCH

Micro Language Models Enable Instant Responses

"Edge devices such as smartwatches and smart glasses cannot continuously run even the smallest 100M-1B parameter language models due to power and compute constraints, yet cloud inference introduces multi-second latencies that break the illusion of a responsive assistant. We introduce micro language m..."
πŸ“° NEWS

Dark Factories: Retooling for LLM Velocity

πŸ”¬ RESEARCH

A multimodal and temporal foundation model for virtual patient representations at healthcare system scale

"Modern medicine generates vast multimodal data across siloed systems, yet no existing model integrates the full breadth and temporal depth of the clinical record into a unified patient representation. We introduce Apollo, a multimodal temporal foundation model trained and evaluated on over three dec..."
πŸ”¬ RESEARCH

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale

"The Platonic Representation Hypothesis suggests that neural networks trained on different modalities (e.g., text and images) align and eventually converge toward the same representation of reality. If true, this has significant implications for whether modality choice matters at all. We show that th..."
πŸ”¬ RESEARCH

SafetyALFRED: Evaluating Safety-Conscious Planning of Multimodal Large Language Models

"Multimodal Large Language Models are increasingly adopted as autonomous agents in interactive environments, yet their ability to proactively address safety hazards remains insufficient. We introduce SafetyALFRED, built upon the embodied agent benchmark ALFRED, augmented with six categories of real-w..."
πŸ”¬ RESEARCH

VLA Foundry: A Unified Framework for Training Vision-Language-Action Models

"We present VLA Foundry, an open-source framework that unifies LLM, VLM, and VLA training in a single codebase. Most open-source VLA efforts specialize on the action training stage, often stitching together incompatible pretraining pipelines. VLA Foundry instead provides a shared training stack with..."
πŸ“° NEWS

I genuinely hate the conversation tone of Opus 4.7

"It just sounds like ChatGPT now. Instead of being genuine, intuitive, and helpful it now tries to always "essay-ify" every response, sound "punchy", drop connecting words and funnily enough started constantly using em-dashes, as many have noticed. I have compared Opus 4.6 and 4.7 responses to the ..."
πŸ’¬ Reddit Discussion: 102 comments πŸ‘ LOWKEY SLAPS
πŸ”¬ RESEARCH

Document-as-Image Representations Fall Short for Scientific Retrieval

"Many recent document embedding models are trained on document-as-image representations, embedding rendered pages as images rather than the underlying source. Meanwhile, existing benchmarks for scientific document retrieval, such as ArXivQA and ViDoRe, treat documents as images of pages, implicitly f..."
πŸ”¬ RESEARCH

LLM Safety From Within: Detecting Harmful Content with Internal Representations

"Guard models are widely used to detect harmful content in user prompts and LLM responses. However, state-of-the-art guard models rely solely on terminal-layer representations and overlook the rich safety-relevant features distributed across internal layers. We present SIREN, a lightweight guard mode..."
πŸ”¬ RESEARCH

Pause or Fabricate? Training Language Models for Grounded Reasoning

"Large language models have achieved remarkable progress on complex reasoning tasks. However, they often implicitly fabricate information when inputs are incomplete, producing confident but unreliable conclusions -- a failure mode we term ungrounded reasoning. We argue that this issue arises not from..."
πŸ“° NEWS

I tested 9 local models on the same flight sim prompt, all Q8, different Q providers, MLX

"**I gave 9 local models the same flight combat sim prompt. The results broke a few of my assumptions about quant providers and parameter count.** *All 8-bit MLX, M3 Max 128GB, served via omlx, prompted through Claude Code. Same prompt every time β€” single-file HTML, three selectable planes (jet, pro..."
πŸ’¬ Reddit Discussion: 9 comments 🐐 GOATED ENERGY
πŸ› οΈ SHOW HN

Show HN: Daemons – we pivoted from building agents to cleaning up after them

πŸ’¬ HackerNews Buzz: 26 comments 🐝 BUZZING
πŸ”¬ RESEARCH

OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

"Chain-of-Thought (CoT) reasoning has become a powerful driver of trajectory prediction in VLA-based autonomous driving, yet its autoregressive nature imposes a latency cost that is prohibitive for real-time deployment. Latent CoT methods attempt to close this gap by compressing reasoning into contin..."
πŸ”¬ RESEARCH

FUSE: Ensembling Verifiers with Zero Labeled Data

"Verification of model outputs is rapidly emerging as a key primitive for both training and real-world deployment of large language models (LLMs). In practice, this often involves using imperfect LLM judges and reward models since ground truth acquisition can be time-consuming and expensive. We intro..."
πŸ”¬ RESEARCH

When Can LLMs Learn to Reason with Weak Supervision?

"Large language models have achieved significant reasoning improvements through reinforcement learning with verifiable rewards (RLVR). Yet as model capabilities grow, constructing high-quality reward signals becomes increasingly difficult, making it essential to understand when RLVR can succeed under..."
πŸ“° NEWS

Meta is installing tracking software on US staffers' computers to capture mouse movements, clicks, and keystrokes in work-related apps for use in AI training

πŸ“° NEWS

Llama.cpp's auto fit works much better than I expected

"I always thought with 32GB of VRAM, the biggest models I could run were around 20GB, like Qwen3.5 27B Q4 or Q6. I had an impression that everything had to fit in VRAM or I'd get 2 t/s. Man was I wrong. I just tested Qwen3.6 Q8 with 256k context on llama.cpp, with \`--fit\` on, the weights alone are..."
πŸ’¬ Reddit Discussion: 54 comments 🐝 BUZZING
πŸ”¬ RESEARCH

HardNet++: Nonlinear Constraint Enforcement in Neural Networks

"Enforcing constraint satisfaction in neural network outputs is critical for safety, reliability, and physical fidelity in many control and decision-making applications. While soft-constrained methods penalize constraint violations during training, they do not guarantee constraint adherence during in..."
πŸ”¬ RESEARCH

MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation

"Large language models (LLMs) are widely used in retrieval-augmented generation (RAG) to incorporate external knowledge at inference time. However, when retrieved contexts are noisy, incomplete, or heterogeneous, a single generation process often struggles to reconcile evidence effectively. We propos..."
πŸ“° NEWS

Zindex – Diagram Infrastructure for Agents

πŸ’¬ HackerNews Buzz: 17 comments πŸ‘ LOWKEY SLAPS
πŸ”¬ RESEARCH

Safety-Critical Contextual Control via Online Riemannian Optimization with World Models

"Modern world models are becoming too complex to admit explicit dynamical descriptions. We study safety-critical contextual control, where a Planner must optimize a task objective using only feasibility samples from a black-box Simulator, conditioned on a context signal $ΞΎ_t$. We develop a sample-bas..."
πŸ”¬ RESEARCH

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling

"Weight quantization has become a standard tool for efficient LLM deployment, especially for local inference, where models are now routinely served at 2-3 bits per parameter. The state of the art is currently split into two sets of methods: simple scalar quantization techniques, such as GPTQ or AWQ,..."
πŸ“° NEWS

A Comparison of Agentic AI Systems and Human Economists

πŸ”¬ RESEARCH

ConforNets: Latents-Based Conformational Control in OpenFold3

"Models from the AlphaFold (AF) family reliably predict one dominant conformation for most well-ordered proteins but struggle to capture biologically relevant alternate states. Several efforts have focused on eliciting greater conformational variability through ad hoc inference-time perturbations of..."
πŸ“° NEWS

Mozilla uses Anthropic Mythos to find Firefox vulnerabilities

+++ Firefox 150 patched 271 vulnerabilities discovered via early access to Anthropic's Mythos, proving that sometimes the best QA is asking another AI company for help. +++

Mozilla says its Firefox 150 release includes fixes for 271 vulnerabilities identified using early access to Anthropic's Mythos Preview

πŸ“° NEWS

AI Has No Moat

πŸ“° NEWS

Anthropic started requiring government-issued photo IDs and selfies from some users to prevent access from US adversaries like China, Russia, and North Korea

πŸ“° NEWS

Odyssey-2 Max: Scaled World Simulation

πŸ“° NEWS

Ultimate List: Best Open Models for Coding, Chat, Vision, Audio & More

"Open-source AI is evolving insanely fast, but it’s hard to know which model is actually best for each use case. So I put together a list of the best open-source models across different categories Best Audio Generation Open Source Models # Text-to-Speech (TTS) * [Qwen3-TTS](https://github.com/Qwen..."
πŸ’¬ Reddit Discussion: 18 comments πŸ‘ LOWKEY SLAPS
πŸ› οΈ SHOW HN

Show HN: FieldOps-Bench an open eval for physical-world AI agents

πŸ”¬ RESEARCH

FASTER: Value-Guided Sampling for Fast RL

"Some of the most performant reinforcement learning algorithms today can be prohibitively expensive as they use test-time scaling methods such as sampling multiple action candidates and selecting the best one. In this work, we propose FASTER, a method for getting the benefits of sampling-based test-t..."
πŸ”¬ RESEARCH

MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval

"Mathematical problem solving remains a challenging test of reasoning for large language and multimodal models, yet existing benchmarks are limited in size, language coverage, and task diversity. We introduce MathNet, a high-quality, large-scale, multimodal, and multilingual dataset of Olympiad-level..."
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