🚀 WELCOME TO METAMESH.BIZ +++ vLLM drops anatomy lesson on high-throughput inference while everyone pretends they understood the KV cache optimizations +++ Security researchers discover LLMs treat random Discord messages as system instructions when you sprinkle magic tokens (what could go wrong with <|im_start|>system) +++ GPT wins obscure math competition using test-time training because apparently we're speedrunning every possible benchmark now +++ THE FUTURE IS PROMPT-INJECTABLE, CACHE-OPTIMIZED, AND SOLVING PROBLEMS NO ONE ASKED ABOUT +++ 🚀 â€ĸ
🚀 WELCOME TO METAMESH.BIZ +++ vLLM drops anatomy lesson on high-throughput inference while everyone pretends they understood the KV cache optimizations +++ Security researchers discover LLMs treat random Discord messages as system instructions when you sprinkle magic tokens (what could go wrong with <|im_start|>system) +++ GPT wins obscure math competition using test-time training because apparently we're speedrunning every possible benchmark now +++ THE FUTURE IS PROMPT-INJECTABLE, CACHE-OPTIMIZED, AND SOLVING PROBLEMS NO ONE ASKED ABOUT +++ 🚀 â€ĸ
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📚 HISTORICAL ARCHIVE - January 24, 2026
What was happening in AI on 2026-01-24
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🔒 SECURITY

Advanced malware was built largely by AI, under the direction of a single person, in under one week: "A human set the high-level goals. Then, an AI agent coordinated three separate teams to build it."

"https://research.checkpoint.com/2026/voidlink-early-ai-generated-malware-framework/..."
đŸ’Ŧ Reddit Discussion: 6 comments 😐 MID OR MIXED
đŸŽ¯ AI Coding Capabilities â€ĸ Malware Creation â€ĸ Safety Concerns
đŸ’Ŧ "Literally tons of difference." â€ĸ "Sounds like bullshit fearmongering."
đŸ› ī¸ TOOLS

Comma openpilot – Open source driver-assistance

đŸ’Ŧ HackerNews Buzz: 146 comments 👍 LOWKEY SLAPS
đŸŽ¯ Self-driving systems â€ĸ Safety concerns â€ĸ Usability and transparency
đŸ’Ŧ "I would never buy an incompatible car going forward and got my tucson 2024 specifically for use with comma" â€ĸ "Incredibly dangerous, irresponsible, and illegal to be using this around other people"
đŸ› ī¸ TOOLS

Anthropic details how it had to redesign its take-home test for hiring performance engineers as Claude kept defeating it, and releases the original test

🤖 AI MODELS

Inside vLLM: Anatomy of a High-Throughput LLM Inference System

⚡ BREAKTHROUGH

The GPT-2 moment for world models is here

đŸ”Ŧ RESEARCH

Universal Refusal Circuits Across LLMs: Cross-Model Transfer via Trajectory Replay and Concept-Basis Reconstruction

"Refusal behavior in aligned LLMs is often viewed as model-specific, yet we hypothesize it stems from a universal, low-dimensional semantic circuit shared across models. To test this, we introduce Trajectory Replay via Concept-Basis Reconstruction, a framework that transfers refusal interventions fro..."
đŸ›Ąī¸ SAFETY

Be careful of custom tokens in your LLM !!!

"LLMs use reserved tokens like \`<|im\_start|>\` and \`<|im\_end|>\` to structure conversations and define who's speaking. When the model sees \`<|im\_start|>system\`, it treats everything that follows as a privileged system instruction. The problem is that tokenizers don't validate..."
đŸ”Ŧ RESEARCH

GPT OSS Beat Humans in TriMul Competition via TTT

đŸ”Ŧ RESEARCH

Provable Robustness in Multimodal Large Language Models via Feature Space Smoothing

"Multimodal large language models (MLLMs) exhibit strong capabilities across diverse applications, yet remain vulnerable to adversarial perturbations that distort their feature representations and induce erroneous predictions. To address this vulnerability, we propose the Feature-space Smoothing (FS)..."
🔮 FUTURE

Closed Loop Authoritarianism: How AI and Users Radicalize Each Other [pdf]

🔮 FUTURE

AI is poisoning itself and pushing LLMs toward collapse,but there's a cure

đŸ”Ŧ RESEARCH

Structured Hints for Sample-Efficient Lean Theorem Proving

"State-of-the-art neural theorem provers like DeepSeek-Prover-V1.5 combine large language models with reinforcement learning, achieving impressive results through sophisticated training. We ask: do these highly-trained models still benefit from simple structural guidance at inference time? We evaluat..."
đŸ› ī¸ TOOLS

Build with Gemini 3 Flash, frontier intelligence that scales with you

🔒 SECURITY

Ask HN: How are you enforcing permissions for AI agent tool calls in production?

đŸ”Ŧ RESEARCH

PyraTok: Language-Aligned Pyramidal Tokenizer for Video Understanding and Generation

"Discrete video VAEs underpin modern text-to-video generation and video understanding systems, yet existing tokenizers typically learn visual codebooks at a single scale with limited vocabularies and shallow language supervision, leading to poor cross-modal alignment and zero-shot transfer. We introd..."
đŸ”Ŧ RESEARCH

Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

"Recent video generation models demonstrate remarkable ability to capture complex physical interactions and scene evolution over time. To leverage their spatiotemporal priors, robotics works have adapted video models for policy learning but introduce complexity by requiring multiple stages of post-tr..."
đŸ› ī¸ SHOW HN

Show HN: Polymcp – Turn Any Python Function into an MCP Tool for AI Agents

đŸ› ī¸ SHOW HN

Show HN: Orbit – Track "zombie loops" and cost-per-feature in AI agents

đŸ› ī¸ SHOW HN

Show HN: Supe – Give your AI agent a brain, not just memory

đŸ’Ŧ HackerNews Buzz: 2 comments 👍 LOWKEY SLAPS
đŸŽ¯ AI Content Generation â€ĸ Auditable AI Decisions â€ĸ AI Hype and Realities
đŸ’Ŧ "balancing AI suggestions with deterministic output" â€ĸ "There is no spoon and there is no brain"
đŸ› ī¸ TOOLS

Running MoE Models on CPU/RAM: A Guide to Optimizing Bandwidth for GLM-4 and GPT-OSS

"The core principle of running Mixture-of-Experts (MoE) models on CPU/RAM is that the CPU doesn't need to extract or calculate all weights from memory simultaneously. Only a fraction of the parameters are "active" for any given token, and since calculations are approximate, memory throughput becomes ..."
đŸ’Ŧ Reddit Discussion: 26 comments 👍 LOWKEY SLAPS
đŸŽ¯ LLM Performance â€ĸ LLM Optimization â€ĸ Community Skepticism
đŸ’Ŧ "Realistic 'sustained' bandwidth for LLM inference is closer to 35 GB/s" â€ĸ "Half-baked AI-generated solutions are totally fine for quick and dirty workflows"
đŸ”Ŧ RESEARCH

Evaluating and Achieving Controllable Code Completion in Code LLM

"Code completion has become a central task, gaining significant attention with the rise of large language model (LLM)-based tools in software engineering. Although recent advances have greatly improved LLMs' code completion abilities, evaluation methods have not advanced equally. Most current benchma..."
đŸ”Ŧ RESEARCH

LLM-in-Sandbox Elicits General Agentic Intelligence

"We introduce LLM-in-Sandbox, enabling LLMs to explore within a code sandbox (i.e., a virtual computer), to elicit general intelligence in non-code domains. We first demonstrate that strong LLMs, without additional training, exhibit generalization capabilities to leverage the code sandbox for non-cod..."
đŸ”Ŧ RESEARCH

synthocr-gen: A synthetic ocr dataset generator for low-resource languages- breaking the data barrier

"Optical Character Recognition (OCR) for low-resource languages remains a significant challenge due to the scarcity of large-scale annotated training datasets. Languages such as Kashmiri, with approximately 7 million speakers and a complex Perso-Arabic script featuring unique diacritical marks, curre..."
đŸ”Ŧ RESEARCH

Controlling Long-Horizon Behavior in Language Model Agents with Explicit State Dynamics

"Large language model (LLM) agents often exhibit abrupt shifts in tone and persona during extended interaction, reflecting the absence of explicit temporal structure governing agent-level state. While prior work emphasizes turn-local sentiment or static emotion classification, the role of explicit af..."
đŸ”Ŧ RESEARCH

Replicating Human Motivated Reasoning Studies with LLMs

"Motivated reasoning -- the idea that individuals processing information may be motivated to reach a certain conclusion, whether it be accurate or predetermined -- has been well-explored as a human phenomenon. However, it is unclear whether base LLMs mimic these motivational changes. Replicating 4 pr..."
đŸ› ī¸ TOOLS

Sweep: Open-weights 1.5B model for next-edit autocomplete

"Hey r/LocalLLaMA, we just open-sourced a 1.5B parameter model that predicts your next code edits. You can grab the weights on Hugging Face or try it out via our JetBrains plugin. *..."
đŸ’Ŧ Reddit Discussion: 11 comments 🐝 BUZZING
đŸŽ¯ Coding Tools â€ĸ Deterministic Actions â€ĸ Model Capabilities
đŸ’Ŧ "Emacs/(N)Vim/Kakoune/Helix users have left the chat" â€ĸ "we're looking into giving our jetbrains agent the ability to call deterministic tools via the IDE itself"
đŸ› ī¸ TOOLS

Auto-compact not triggering on Claude.ai despite being marked as fixed

đŸ’Ŧ HackerNews Buzz: 125 comments 😐 MID OR MIXED
đŸŽ¯ Overhyping AI models â€ĸ Degradation of AI model performance â€ĸ Inconsistent user experiences
đŸ’Ŧ "release a model; overhype it; provide max compute; sell it as the new baseline" â€ĸ "I have to babysit it a lot tighter, and it just seems ... dumber somehow"
đŸ› ī¸ SHOW HN

Show HN: The AI-SDK for Rust Agents

đŸĻ†
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