πŸš€ WELCOME TO METAMESH.BIZ +++ AI formally solves ErdΕ‘s problems while mathematicians debate whether proof by neural network counts as real math +++ Mistral drops 675B parameter MoE that technically runs on consumer hardware if you consider 8 A100s "consumer" +++ ARC Prize still unclaimed at 50% solve rate because turns out reasoning is harder than memorizing the internet +++ YOUR NEXT BREAKTHROUGH WILL BE FORMALLY VERIFIED AND STILL SOMEHOW WRONG +++ πŸš€ β€’
πŸš€ WELCOME TO METAMESH.BIZ +++ AI formally solves ErdΕ‘s problems while mathematicians debate whether proof by neural network counts as real math +++ Mistral drops 675B parameter MoE that technically runs on consumer hardware if you consider 8 A100s "consumer" +++ ARC Prize still unclaimed at 50% solve rate because turns out reasoning is harder than memorizing the internet +++ YOUR NEXT BREAKTHROUGH WILL BE FORMALLY VERIFIED AND STILL SOMEHOW WRONG +++ πŸš€ β€’
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πŸ“š HISTORICAL ARCHIVE - December 06, 2025
What was happening in AI on 2025-12-06
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⚑ BREAKTHROUGH

An AI has now written the majority of formalized solutions to Erdos Problems

"External link discussion - see full content at original source."
πŸ› οΈ TOOLS

convert: support Mistral 3 Large MoE by ngxson Β· Pull Request #17730 Β· ggml-org/llama.cpp

"You can now download GGUF https://huggingface.co/bartowski/mistralai\_Mistral-Large-3-675B-Instruct-2512-GGUF but can you run it...? (that another PR is https://github.com/ggml-org/llama.cpp/pull/17744) ..."
⚑ BREAKTHROUGH

[Research] ARC Prize 2025 Results and Analysis

"Interesting post by ARG-AGI people, grand prize has not been claimed by we have models already at 50% on ARC-AGI 2 ... Round 3 looks interesting. Poetiq's big claim of power looks slightly weak now since they are just refining Gemini 3 for a 10% boost. ..."
πŸ”¬ RESEARCH

The Universal Weight Subspace Hypothesis

"We show that deep neural networks trained across diverse tasks exhibit remarkably similar low-dimensional parametric subspaces. We provide the first large-scale empirical evidence that demonstrates that neural networks systematically converge to shared spectral subspaces regardless of initialization..."
πŸ”¬ RESEARCH

Algorithmic Thinking Theory

"Large language models (LLMs) have proven to be highly effective for solving complex reasoning tasks. Surprisingly, their capabilities can often be improved by iterating on previously generated solutions. In this context, a reasoning plan for generating and combining a set of solutions can be thought..."
πŸ”¬ RESEARCH

The Amazon scientist using automated reasoning to kill AI hallucinations

🎨 CREATIVE

Gemini 3 Pro: the frontier of vision AI

πŸ’¬ HackerNews Buzz: 80 comments 🐝 BUZZING
🎯 AI model capabilities β€’ Handwritten data analysis β€’ Incentives and trust concerns
πŸ’¬ "Gemini 3 has the ability to point at specific locations in images" β€’ "Textract, when extracting tables, does not allow for providing any context"
πŸ› οΈ TOOLS

I ran Claude Code in a self-learning loop until it successfully translated our entire Python repo to TypeScript

"Some of you might have seen my post here about my open-source implementation of ACE (agents that learn from execution feedback). I connected the framework to Claude Code and let it run in a continuous loop..."
πŸ’¬ Reddit Discussion: 46 comments 🐝 BUZZING
🎯 AI-generated prompts β€’ Code optimization β€’ Language transpiling
πŸ’¬ "AI has no great insight by itself into how to write prompts" β€’ "Different methodologies in the same loop would perform differently"
πŸ”¬ RESEARCH

Semantic Soft Bootstrapping: Long Context Reasoning in LLMs without Reinforcement Learning

"Long context reasoning in large language models (LLMs) has demonstrated enhancement of their cognitive capabilities via chain-of-thought (CoT) inference. Training such models is usually done via reinforcement learning with verifiable rewards (RLVR) in reasoning based problems, like math and programm..."
πŸ› οΈ TOOLS

Hugging Face details how it used its new tool, Skills, to fine tune an LLM using Claude, including for writing scripts, submitting jobs to cloud GPUs, and more

πŸ€– AI MODELS

I built and shipped a full iOS app using only Claude Code CLI

"Shipped Chore Conductor to the App Store 3 weeks ago. Built the whole thing with Claude Code CLI. No Swift tutorials. No coding bootcamp. Just conversations. 3,000+ lines of Swift. Firebase backend. Real-time sync. Sign in with Apple. In-app purchases. Still 0 lines of code from me. Revenue so f..."
πŸ’¬ Reddit Discussion: 24 comments πŸ‘ LOWKEY SLAPS
🎯 App development β€’ Marketing strategy β€’ Iterative improvement
πŸ’¬ "I spent $200 on Claude and went from idea to App Store." β€’ "The bottleneck isn't building anymore. It's distribution."
πŸ”¬ RESEARCH

Arbitrage: Efficient Reasoning via Advantage-Aware Speculation

"Modern Large Language Models achieve impressive reasoning capabilities with long Chain of Thoughts, but they incur substantial computational cost during inference, and this motivates techniques to improve the performance-cost ratio. Among these techniques, Speculative Decoding accelerates inference..."
πŸ› οΈ TOOLS

[R] PaperDebugger: the Best Overleaf Companion

"An NUS team just released "PaperDebugger": an in-editor system that uses multiple agents (Reviewer, Researcher, Scorer) to rewrite and critique papers in real-time within Overleaf. Just simply select a rough section, and it launches the full pipeline. Direct Integration: No copy-pasting. It patch..."
πŸ“Š DATA

[P] 96.1M Rows of iNaturalist Research-Grade plant images (with species names)

"I have been working with GBIF (Global Biodiversity Information Facility: website) data and found it messy to use for ML. Many occurrences don't have images/formatted incorrectly, unstructured data, etc. I cleaned and packed a large set of plant entries into a Hugging Face ..."
πŸ› οΈ TOOLS

A technical deep dive into Amazon's Trainium3 accelerator, including its server SKUs' specifications, silicon design, power budget, and bill of materials

πŸ”¬ RESEARCH

David vs. Goliath: Can Small Models Win Big with Agentic AI in Hardware Design?

"Large Language Model(LLM) inference demands massive compute and energy, making domain-specific tasks expensive and unsustainable. As foundation models keep scaling, we ask: Is bigger always better for hardware design? Our work tests this by evaluating Small Language Models coupled with a curated age..."
πŸ”’ SECURITY

YouTube caught making AI-edits to videos and adding misleading AI summaries

πŸ’¬ HackerNews Buzz: 147 comments 😐 MID OR MIXED
🎯 AI video edits β€’ YouTube data privacy β€’ AI-generated content
πŸ’¬ "I find that the availability of an infinite number of Qi Gong exercise videos, philosophy, tiny bit of politics, science, and nature videos that is it almost infinitely better than HBO, Netflix, etc." β€’ "But clearly they are completely missing the mark with whatever experiment they were running there."
πŸ› οΈ SHOW HN

Show HN: AgentPG – Stateful AI Agents in Go with PostgreSQL Persistence

πŸ› οΈ TOOLS

Debugger MCP Server – AI-Controlled Debugging for All JetBrains IDEs

πŸ› οΈ TOOLS

The real reason most RAG systems β€œmysteriously break”

"We sometimes think RAG breaks because the model isn’t good enough. But the failures are almost always systemic. Here’s the uncomfortable bit: RAG collapses because the preprocessing pipeline is unmonitored, not because the LLM lacks intelligence. We use this checklist before you change anything ..."
πŸ› οΈ TOOLS

Claude can now run ML research experiments for you

πŸ› οΈ SHOW HN

Show HN: Manifesto – An AI-Native UI Framework Intent-to-State, Not Text-to-App

πŸ¦†
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