πŸš€ WELCOME TO METAMESH.BIZ +++ EAGLE3 speculative decoding drops into llama.cpp because apparently we weren't generating tokens fast enough already +++ Someone reverse-engineered Claude's memory system and Anthropic is probably updating their docs as we speak +++ Local inference keeps getting scarier while cloud providers keep raising prices +++ THE FUTURE IS SELF-HOSTED AND REMEMBERS EVERYTHING YOU SAID LAST TUESDAY +++ πŸš€ β€’
πŸš€ WELCOME TO METAMESH.BIZ +++ EAGLE3 speculative decoding drops into llama.cpp because apparently we weren't generating tokens fast enough already +++ Someone reverse-engineered Claude's memory system and Anthropic is probably updating their docs as we speak +++ Local inference keeps getting scarier while cloud providers keep raising prices +++ THE FUTURE IS SELF-HOSTED AND REMEMBERS EVERYTHING YOU SAID LAST TUESDAY +++ πŸš€ β€’
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πŸ“š HISTORICAL ARCHIVE - December 14, 2025
What was happening in AI on 2025-12-14
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⚑ BREAKTHROUGH

[R] Efficient Virtuoso: A Latent Diffusion Transformer for Trajectory Planning (Strong results on Waymo Motion, trained on single RTX 3090)

"Hi r/MachineLearning comunity, I am an independent researcher focused on Autonomous Vehicle (AV) planning. I am releasing the paper, code, and weights for a project called **Efficient Virtuoso**. It is a conditional latent diffusion model (LDM) for generating multi-modal, long-horizon driving traje..."
πŸ’¬ Reddit Discussion: 5 comments 🐐 GOATED ENERGY
🎯 Paper Reproduction β€’ Data vs. Architecture β€’ Latent Space Modeling
πŸ’¬ "MotionDiffuser with some more experiments" β€’ "fit all of that into a RTX 3090 24GB"
πŸ€– AI MODELS

[Speculative decoding] feat: add EAGLE3 speculative decoding support by ichbinhandsome Β· Pull Request #18039 Β· ggml-org/llama.cpp

"With the recent release of EAGLE models, people were wondering about EAGLE support in llama.cpp. Well, this just showed up. ..."
πŸ”¬ RESEARCH

Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving

"Large language models (LLMs) have achieved significant progress in solving complex reasoning tasks by Reinforcement Learning with Verifiable Rewards (RLVR). This advancement is also inseparable from the oversight automated by reliable verifiers. However, current outcome-based verifiers (OVs) are una..."
πŸ”¬ RESEARCH

If a Meta AI model can read a brain-wide signal, why wouldn't the brain?

πŸ’¬ HackerNews Buzz: 40 comments πŸ‘ LOWKEY SLAPS
🎯 Sensory cortex & brain activity β€’ Magnetic fields & brain function β€’ Consciousness & magnetoreception
πŸ’¬ "The brain already contains the information about its own functioning" β€’ "If you're interested in my personal chain-of-thought on the subject"
πŸ€– AI MODELS

Reverse engineering Claude's memory system

🧠 NEURAL NETWORKS

Enabling small language models to solve complex reasoning tasks

πŸ”¬ RESEARCH

Replace, Don't Expand: Mitigating Context Dilution in Multi-Hop RAG via Fixed-Budget Evidence Assembly

"Retrieval-Augmented Generation (RAG) systems often fail on multi-hop queries when the initial retrieval misses a bridge fact. Prior corrective approaches, such as Self-RAG, CRAG, and Adaptive-$k$, typically address this by \textit{adding} more context or pruning existing lists. However, simply expan..."
πŸ‘οΈ COMPUTER VISION

Turn Any Flat Photo into Mind-Blowing 3D Stereo Without Needing Depth Maps

"I came across this paper titled "StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space" and thought it was worth sharing here. The authors present a clever diffusion-based approach that turns a single photo into a pair of stereo images for 3D viewing, all..."
πŸ€– AI MODELS

Text Diffusion Models Are Faster at Writing Code

πŸ› οΈ TOOLS

llamafile: Distribute and Run LLMs with a Single File

πŸ’¬ HackerNews Buzz: 7 comments 🐝 BUZZING
🎯 Maintenance & Development β€’ GPU Limitations β€’ Llama.cpp Integration
πŸ’¬ "Is this actively maintained / worked on?" β€’ "GPU acceleration capabilities in llamafiles are limited"
πŸ”¬ RESEARCH

Ilya Sutskever is puzzled by the gap between AI benchmarks and the economic impact [D]

"In a recent interview, Ilya Sutskever said: > This is one of the very confusing things about the models right now. How to reconcile the fact that they are doing so well on evals... And you look at the evals and you go "Those are pretty hard evals"... They are doing so well! But the economic imp..."
πŸ’¬ Reddit Discussion: 168 comments 🐝 BUZZING
🎯 Limitations of AI Tooling β€’ Productivity Gains from AI β€’ Adoption Challenges of AI
πŸ’¬ "AI tooling / agents are not doing a lot of tasks start-to-finish" β€’ "the marketing put out by the large LLM providers is, imo, completely useless"
πŸ”¬ RESEARCH

The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality

"We introduce The FACTS Leaderboard, an online leaderboard suite and associated set of benchmarks that comprehensively evaluates the ability of language models to generate factually accurate text across diverse scenarios. The suite provides a holistic measure of factuality by aggregating the performa..."
πŸ”¬ RESEARCH

Multi-Granular Node Pruning for Circuit Discovery

"Circuit discovery aims to identify minimal subnetworks that are responsible for specific behaviors in large language models (LLMs). Existing approaches primarily rely on iterative edge pruning, which is computationally expensive and limited to coarse-grained units such as attention heads or MLP bloc..."
πŸ”¬ RESEARCH

Script Gap: Evaluating LLM Triage on Indian Languages in Native vs Roman Scripts in a Real World Setting

"Large Language Models (LLMs) are increasingly deployed in high-stakes clinical applications in India. In many such settings, speakers of Indian languages frequently communicate using romanized text rather than native scripts, yet existing research rarely evaluates this orthographic variation using r..."
πŸ€– AI MODELS

Mistral 3 Large is DeepSeek V3!?

"With Mistral 3 and DeepSeek V3.2, we got two major open-weight LLMs this month already. I looked into DeepSeek V3.2 last week and just caught up with reading through the config of the Mistral 3 architecture in more detail. Interestingly, based on [their official announcement post](https://mistr..."
πŸ’¬ Reddit Discussion: 32 comments 🐝 BUZZING
🎯 Open Source Advancements β€’ Architecture Similarities β€’ Model Comparisons
πŸ’¬ "If your competitors copy you but don't innovate, they'll stay 9 months behind you." β€’ "DeepSeek did the research, and is just ahead on that stuff."
🧠 NEURAL NETWORKS

To build more powerful AI systems, some AI leaders are focusing on pursuing an approach called continual learning, which mimics how people learn over time

πŸ”¬ RESEARCH

SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale

"The resource requirements of Neural Networks can be significantly reduced through pruning -- the removal of seemingly less important parameters. However, with the rise of Large Language Models (LLMs), full retraining to recover pruning-induced performance degradation is often prohibitive and classic..."
πŸ› οΈ TOOLS

Understanding the new router mode in llama cpp server

"**WhatΒ Router ModeΒ Is** * Router modeΒ is a new way to run theΒ llama cpp serverΒ that lets you manageΒ multiple AI models at the same timeΒ without restarting the server each time you switch or load a model. Previously, you had to start a new server processΒ *per model*. Router mode changes that. This ..."
πŸ’¬ Reddit Discussion: 25 comments 🐝 BUZZING
🎯 Model Switching β€’ Configuration Options β€’ Simplified Setup
πŸ’¬ "The question is whether llama-server supports all of the same functionality that llama-swap supported" β€’ "Impressive image that explains almost nothing"
πŸ”’ SECURITY

Interlock – a circuit breaker and certification system for AI infrastructure

πŸ”¬ RESEARCH

Textual Data Bias Detection and Mitigation - An Extensible Pipeline with Experimental Evaluation

"Textual data used to train large language models (LLMs) exhibits multifaceted bias manifestations encompassing harmful language and skewed demographic distributions. Regulations such as the European AI Act require identifying and mitigating biases against protected groups in data, with the ultimate..."
βš–οΈ ETHICS

AI and the ironies of automation – Part 2

πŸ’¬ HackerNews Buzz: 68 comments 😐 MID OR MIXED
🎯 Limitations of AI agents β€’ Risks of AI automation β€’ Need for human expertise
πŸ’¬ "When one of the agents does something wrong, a human operator needs to be able to intervene quickly" β€’ "Experts must become managers of agentic systems, a role which they are not familiar with"
πŸ”¬ RESEARCH

On Decision-Making Agents and Higher-Order Causal Processes

"We establish a precise correspondence between decision-making agents in partially observable Markov decision processes (POMDPs) and one-input process functions, the classical limit of higher-order quantum operations. In this identification an agent's policy and memory update combine into a process f..."
πŸ› οΈ TOOLS

NeuralOperator Joins the PyTorch Ecosystem

πŸ› οΈ SHOW HN

Show HN: Open-source customizable AI voice dictation built on Pipecat

πŸ”¬ RESEARCH

Asynchronous Reasoning: Training-Free Interactive Thinking LLMs

"Many state-of-the-art LLMs are trained to think before giving their answer. Reasoning can greatly improve language model capabilities and safety, but it also makes them less interactive: given a new input, a model must stop thinking before it can respond. Real-world use cases such as voice-based or..."
πŸ”¬ RESEARCH

[D] Do Some Research Areas Get an Easier Accept? The Quiet Biases Hiding in ICLR's Peer Review

"Hey all, So I am sure you already know the ICLR drama this year + since reciprocal reviewing, authors have struggled with reviews. Well, I scraped public OpenReview metadata for ICLR 2018–2025 and did a simple analysis of acceptance vs (i) review score, (ii) primary area, and (iii) year to see if a..."
πŸ’¬ Reddit Discussion: 15 comments 🐐 GOATED ENERGY
🎯 Machine learning subdivisions β€’ Funding and hardware impact β€’ Paper acceptance criteria
πŸ’¬ "Neuroscience and cognitive science applications have been foundational to machine learning" β€’ "Anything that ends up at ICLR is probably well funded, with strong teams"
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