πŸš€ WELCOME TO METAMESH.BIZ +++ Evolutionary strategies just beat gradient descent at its own game using 30 random perturbations (your backprop is showing its age) +++ Physics of Language Models paper drops while everyone's too busy benchmaxxing to notice the universe has opinions about attention heads +++ System prompts revealed as shadow governance documents nobody reads but everyone deploys +++ INFERENCE-TIME SEARCH IS JUST THINKING WITH MORE STEPS +++ πŸš€ β€’
πŸš€ WELCOME TO METAMESH.BIZ +++ Evolutionary strategies just beat gradient descent at its own game using 30 random perturbations (your backprop is showing its age) +++ Physics of Language Models paper drops while everyone's too busy benchmaxxing to notice the universe has opinions about attention heads +++ System prompts revealed as shadow governance documents nobody reads but everyone deploys +++ INFERENCE-TIME SEARCH IS JUST THINKING WITH MORE STEPS +++ πŸš€ β€’
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πŸ“š HISTORICAL ARCHIVE - January 04, 2026
What was happening in AI on 2026-01-04
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πŸ”¬ RESEARCH

Scaling Latent Reasoning via Looped Language Models

πŸ’¬ HackerNews Buzz: 10 comments 🐝 BUZZING
🎯 ODE Solver Generalization β€’ Interpretable Intermediate Steps β€’ Architectural Differences
πŸ’¬ "fixed iteration ODE solver" β€’ "all the intermediate steps remain interepretable"
πŸ”¬ RESEARCH

Reliable and Resilient Collective Communication Library for LLM Training and Serving

"Modern ML training and inference now span tens to tens of thousands of GPUs, where network faults can waste 10--15\% of GPU hours due to slow recovery. Common network errors and link fluctuations trigger timeouts that often terminate entire jobs, forcing expensive checkpoint rollback during training..."
⚑ BREAKTHROUGH

Propagate: Train thinking models using evolutionary strategies!

"Recently, this paper released: https://arxiv.org/abs/2509.24372 And showed that with only 30 random gaussian perturbations, you can accurately approximate a gradient and outperform GRPO on RLVR tasks. They found zero overfitting, and training was significantly ..."
πŸ”¬ RESEARCH

Scaling Open-Ended Reasoning to Predict the Future

"High-stakes decision making involves reasoning under uncertainty about the future. In this work, we train language models to make predictions on open-ended forecasting questions. To scale up training data, we synthesize novel forecasting questions from global events reported in daily news, using a f..."
πŸ“Š DATA

Beyond Benchmaxxing: Why the Future of AI Is Inference-Time Search

πŸ”¬ RESEARCH

Physics of Language Models

βš–οΈ ETHICS

System Prompts as Governance Artifacts in AI Developer Tools: A Forensic Study

πŸ› οΈ TOOLS

Claude Code Features and Usage

+++ Reddit enthusiasts share that mastering LLM-assisted coding requires actual skill, context management, and occasionally building memory systems because Claude's context window isn't infinite. +++

Claude Code creator Boris shares his setup with 13 detailed steps,full details below

"I'm Boris and I created **Claude Code.** Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit. My **setup might be surprisingly vanilla.** Claude Code works great out of the box, so I personally don't customize it much. **There is no one correct way to use Claud..."
πŸ”’ SECURITY

--dangerously-skip-permission close call...

"I've heard of rare cases where Claude has deleted someones user home folder... I just had a situation where it was working on building some Docker containers for me, ran out of disk space, then just went ahead and started deleting files it saw fit to delete, without asking permission. I got lucky an..."
πŸ’¬ Reddit Discussion: 108 comments πŸ‘ LOWKEY SLAPS
🎯 File deletion risks β€’ Containerized Claude Code β€’ Isolation and safety measures
πŸ’¬ "This is a process problem." β€’ "If you're going to do that again, use virtual machines or containers."
πŸ”¬ RESEARCH

Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search

"Resource-management tasks in modern operating and distributed systems continue to rely primarily on hand-designed heuristics for tasks such as scheduling, caching, or active queue management. Designing performant heuristics is an expensive, time-consuming process that we are forced to continuously g..."
πŸ› οΈ SHOW HN

Show HN: Asterisk - A small text embedding model for low-resource hardware

πŸ”¬ RESEARCH

Modeling Language as a Sequence of Thoughts

"Transformer language models can generate strikingly natural text by modeling language as a sequence of tokens. Yet, by relying primarily on surface-level co-occurrence statistics, they fail to form globally consistent latent representations of entities and events, lack of which contributes to brittl..."
πŸ› οΈ TOOLS

A2UI: Google's declarative UI protocol for AI agents

πŸ› οΈ TOOLS

[D] Clean, self-contained PyTorch re-implementations of 50+ ML papers (GANs, diffusion, meta-learning, 3D)

"This repository collectsΒ **clean, self-contained PyTorch reference implementations**Β of over 50 machine learning papers, spanning GANs, VAEs, diffusion models, meta-learning, representation learning, and 3D reconstruction. The implementations aim to: * Stay faithful to the original methods * Minim..."
πŸ”’ SECURITY

Elon Musk's Grok AI floods X with sexualized photos of women and minors

πŸ”¬ RESEARCH

Adaptive Dependency-aware Prompt Optimization Framework for Multi-Step LLM Pipeline

"Multi-step LLM pipelines invoke large language models multiple times in a structured sequence and can effectively solve complex tasks, but their performance heavily depends on the prompts used at each step. Jointly optimizing these prompts is difficult due to missing step-level supervision and inter..."
πŸ› οΈ TOOLS

HomeGenie v2.0: 100% Local Agentic AI (Sub-5s response on CPU, No Cloud)

"Hi everyone! I’ve been working on HomeGenie 2.0, focusing on bringing "Agentic AI" to the edge. Unlike standard dashboards, it integrates a local neural core (Lailama) that uses LLamaSharp to run GGUF models (Qwen 3, Llama 3.2, etc.) entirely offline. Key technical bits: - **Autonomous Reasoning:*..."
πŸŽ“ EDUCATION

Neural Networks: Zero to Hero

πŸ’¬ HackerNews Buzz: 14 comments 🐝 BUZZING
🎯 Deep learning mastery β€’ AI infrastructure development β€’ Practical learning resources
πŸ’¬ "Deep learning is more of an art than a science" β€’ "I had better leave this for the clever guys"
πŸ”’ SECURITY

Open source is being DDoSed by AI slop and GitHub is making it worse

🧠 NEURAL NETWORKS

Developing a BLAS Library for the AMD AI Engine [pdf]

πŸ’¬ HackerNews Buzz: 9 comments 😐 MID OR MIXED
🎯 Performance limitations β€’ Lack of software support β€’ Optimization opportunities
πŸ’¬ "Doesn't it make it essentially useless for anything AI related?" β€’ "This architecture is likely going to be a dead end for AMD."
πŸ› οΈ SHOW HN

Show HN: Remember Me – O(1) Client-Side Memory (40x cheaper than Vector DBs)

πŸ”¬ RESEARCH

[P] Interactive visualization of DeepSeek's mHC - why doubly stochastic constraints fix Hyper-Connection instability

"I built an interactive demo to understand DeepSeek's new mHC paper (https://arxiv.org/abs/2512.24880). **The problem:** Hyper-Connections use learned matrices to mix residual streams. Stacking 64 layers multiplies these matrices together, and small amplifications compound to 10^16. **The fix:** Pr..."
πŸ› οΈ SHOW HN

Show HN: GenVibe – AI generates React apps from text, Figma, screenshots

πŸ€– AI MODELS

Chinese AI models have lagged the US frontier by 7 months on average since 2023

πŸ”¬ RESEARCH

Many Minds from One Model: Bayesian Transformers for Population Intelligence

"Despite their scale and success, modern transformers are almost universally trained as single-minded systems: optimization produces one deterministic set of parameters, representing a single functional hypothesis about the data. Motivated by the idea that intelligence emerge from many minds, we prop..."
πŸ”’ SECURITY

AI agents are 2026's biggest insider threat: Palo Alto Networks security boss

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