πŸš€ WELCOME TO METAMESH.BIZ +++ Someone named their jailbreak tool "Heretic" because subtlety died in 2023 (automatically strips the safety training off your corporate LLMs) +++ 65% of AI companies leaking secrets like a WikiLeaks internship program gone wrong +++ The "Era of Agentic Organization" paper drops while everyone's still figuring out what an agent actually is +++ YOUR UNALIGNED MODELS ARE LEARNING TO ORGANIZE +++ πŸš€ β€’
πŸš€ WELCOME TO METAMESH.BIZ +++ Someone named their jailbreak tool "Heretic" because subtlety died in 2023 (automatically strips the safety training off your corporate LLMs) +++ 65% of AI companies leaking secrets like a WikiLeaks internship program gone wrong +++ The "Era of Agentic Organization" paper drops while everyone's still figuring out what an agent actually is +++ YOUR UNALIGNED MODELS ARE LEARNING TO ORGANIZE +++ πŸš€ β€’
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πŸ“š HISTORICAL ARCHIVE - November 16, 2025
What was happening in AI on 2025-11-16
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Stories from November 16, 2025

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πŸ”’ SECURITY

Heretic censorship removal tool

+++ Someone built automation to strip safety guardrails from LLMs and shared it publicly, which is either bold transparency or a masterclass in not understanding information security incentives. +++

Heretic: Automatic censorship removal for language models

πŸ’¬ HackerNews Buzz: 106 comments πŸ‘ LOWKEY SLAPS
🎯 Hyperparameter optimization β€’ Censorship removal β€’ Safety alignment
πŸ’¬ "Basically any time you aren't sure about the perfect value, throw Optuna on it" β€’ "Heretic is a tool that removes censorship (aka 'safety alignment') from transformer-based language models"
πŸ› οΈ TOOLS

Blocking LLM crawlers without JavaScript

πŸ’¬ HackerNews Buzz: 64 comments 😐 MID OR MIXED
🎯 Browser compatibility β€’ Malicious content β€’ Mitigating AI abuse
πŸ’¬ "So cool I went to add their RSS feed to my feed reader" β€’ "Too late, some suggest 50% of www content is now content farmed slop"
πŸ”§ INFRASTRUCTURE

A look at the global AI data center buildout, its limits, and ROI concerns; in 2025, US capacity that is built, underway, planned, or stalled has topped 80 GW

πŸ”’ SECURITY

Exposure report: 65% of Leading AI Companies Found with Verified Secret Leaks

πŸ”¬ RESEARCH

Solving a Million-Step LLM Task with Zero Errors

πŸ”’ SECURITY

Researchers find hole in AI guardrails by using strings like =coffee

πŸ›‘οΈ SAFETY

LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions

πŸ”¬ RESEARCH

SSR: Socratic Self-Refine for Large Language Model Reasoning

"Large Language Models (LLMs) have demonstrated remarkable reasoning abilities, yet existing test-time frameworks often rely on coarse self-verification and self-correction, limiting their effectiveness on complex tasks. In this paper, we propose Socratic Self-Refine (SSR), a novel framework for fine..."
πŸ”¬ RESEARCH

The Era of Agentic Organization: Learning to Organize with Language Models

πŸ”¬ RESEARCH

Instella: Fully Open Language Models with Stellar Performance

"Large language models (LLMs) have demonstrated remarkable performance across a wide range of tasks, yet the majority of high-performing models remain closed-source or partially open, limiting transparency and reproducibility. In this work, we introduce Instella, a family of fully open three billion..."
πŸ”¬ RESEARCH

Black-Box On-Policy Distillation of Large Language Models

"Black-box distillation creates student large language models (LLMs) by learning from a proprietary teacher model's text outputs alone, without access to its internal logits or parameters. In this work, we introduce Generative Adversarial Distillation (GAD), which enables on-policy and black-box dist..."
πŸ”¬ RESEARCH

URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding

"Recent multimodal large language models (MLLMs) still struggle with long document understanding due to two fundamental challenges: information interference from abundant irrelevant content, and the quadratic computational cost of Transformer-based architectures. Existing approaches primarily fall in..."
πŸ”¬ RESEARCH

Say It Differently: Linguistic Styles as Jailbreak Vectors

"Large Language Models (LLMs) are commonly evaluated for robustness against paraphrased or semantically equivalent jailbreak prompts, yet little attention has been paid to linguistic variation as an attack surface. In this work, we systematically study how linguistic styles such as fear or curiosity..."
πŸ“Š DATA

I Built a 93:1 Compression Index for 2,897 Documentsβ€”Here's What Context Engineering Really Unlocks

"**TL;DR:** By engineering a 3-tier hierarchical index system, I compressed 60.7 MB of documents into 665 KB of strategically formatted markdown. This enables comprehensive research across the entire dataset using only 20-60 KB of context per queryβ€”a 99% reduction in token usage while maintaining ful..."
πŸ’¬ Reddit Discussion: 31 comments 🐝 BUZZING
🎯 Hierarchical document indexing β€’ Preventing hallucination β€’ Efficient token usage
πŸ’¬ "Explicit document grounding" β€’ "Metadata as verification"
⚑ BREAKTHROUGH

Thermodynamic Computing from Zero to One

πŸ”’ SECURITY

AI is killing privacy. We can't let that happen

πŸ’¬ HackerNews Buzz: 60 comments 😐 MID OR MIXED
🎯 Data ownership β€’ Privacy vs. innovation β€’ AI as data pump
πŸ’¬ "Your data isn't your contact details. It's the record of your interactions with all the external services" β€’ "LLM push is mainly two things, for one it's an excuse for getting rid of employees, and then it's a new form of data pump"
πŸ› οΈ TOOLS

Why is vLLM Outperforming TensorRT-LLM (Nvidia's deployment library)? My Shocking Benchmarks on GPT-OSS-120B with H100

"So I tested TensorRT LLM with **vLLM and results were shocking. I ran GPT OSS 120b on the same machine. Vllm was beating** TensorRT LLM in most scenarios, so i tested it two times with but the results were same. Do any of you guys can possibely give reason for this because i heard that in Raw Powe..."
πŸ’¬ Reddit Discussion: 10 comments 🐝 BUZZING
🎯 Performance optimization β€’ Backend comparison β€’ Throughput and latency
πŸ’¬ "vllm is low effort high reward" β€’ "Try the pytorch backend as someone above me said"
πŸ”¬ RESEARCH

Researchers push "Context Engineering 2.0" as the road to lifelong AI memory

πŸ¦†
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