📚 HISTORICAL ARCHIVE - December 07, 2025

                What was happening in AI on 2025-12-07
            

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Stories from December 07, 2025

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🔒 SECURITY

[D] Top ICLR 2026 Papers Found with fake Citations — Even Reviewers Missed Them

via r/MachineLearning 👤 u/anikpramanikcse 📅 2025-12-06

⬆️ 279 ups ⚡ Score: 8.1

"New 50 hallucinations in ICLR 2026 submissions were found after scanning only 300 submissions. Some of the papers are top-tier, likely oral (8+), and others have very high scores. The fabricated citations were missed by all 3-4+ reviewers. [https://gptzero.me/news/iclr-2026/](https://gptzero.me/new..."

💬 Reddit Discussion: 43 comments 😐 MID OR MIXED

🎯 Citing errors in ML research • Challenges of automating citation checking • Fragility of ML research institutions

💬 "You are exposing Phd students based on a single mistake without any way to proof if this a real mistake or LLM Hallucination." • "It's kinda scary observing the entire ML research community collapsing just because convenient AI tools are now available."

🛠️ TOOLS

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

via r/LocalLLaMA 👤 u/jacek2023 📅 2025-12-06

⬆️ 26 ups ⚡ Score: 7.8

"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) ..."

🤖 AI MODELS

Essential AI, whose CEO co-wrote Google's Attention Is All You Need paper, unveils Rnj-1, an 8B-parameter open model with SWE-bench performance close to GPT-4o

via Techmeme 👤 Essential 📅 2025-12-07

⚡ Score: 7.8

⚡ BREAKTHROUGH

[Research] ARC Prize 2025 Results and Analysis

via r/MachineLearning 👤 u/LetsTacoooo 📅 2025-12-06

⬆️ 36 ups ⚡ Score: 7.6

"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. ..."

💬 Reddit Discussion: 7 comments 🐝 BUZZING

🎯 Model Improvement • Synthetic Data • Few-Shot Learning

💬 "Did the model get *that* much better, or did they just generate millions of synthetic ARC-like examples for pretraining?" • "Without evidence, the only intellectually sound conclusion is the latter."

🔬 RESEARCH

The Universal Weight Subspace Hypothesis

via Arxiv 👤 Prakhar Kaushik, Shravan Chaudhari, Ankit Vaidya et al. 📅 2025-12-04

⚡ Score: 7.3

"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..."

🔒 SECURITY

IDEsaster: A Novel Vulnerability Class in AI IDEs

via HackerNews 👤 deanc 📅 2025-12-07

🔺 1 pts ⚡ Score: 7.3

🤖 AI MODELS

Zebra-Llama: Towards Extremely Efficient Hybrid Models

via r/LocalLLaMA 👤 u/divide0verfl0w 📅 2025-12-06

⬆️ 16 ups ⚡ Score: 7.3

"https://arxiv.org/abs/2505.17272 HN Link: https://news.ycombinator.com/item?id=46176289 Thoughts?"

🔬 RESEARCH

Algorithmic Thinking Theory

via Arxiv 👤 MohammadHossein Bateni, Vincent Cohen-Addad, Yuzhou Gu et al. 📅 2025-12-04

⚡ Score: 7.1

"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..."

🛠️ TOOLS

Open-source proxy that lets the Claude Code CLI run on Databricks Model Serving

via HackerNews 👤 vishalveera 📅 2025-12-07

🔺 2 pts ⚡ Score: 6.9

🤖 AI MODELS

6GB Offline Medical SLM with Native Knowledge Graph, zero hallucinations, runs on your phone

via r/artificial 👤 u/vagobond45 📅 2025-12-07

⬆️ 1 ups ⚡ Score: 6.9

"We built a 6 GB, fully self-contained Medical SLM that runs offline on laptops and phones, no cloud, no data leaks. It combines BioGPT-Large + a native biomedical knowledge graph (5 000+ nodes, 25 000+ edges) with graph-aware embeddings and real-time RAG. Fine-tuned on PubMed + clinical dialogues → ..."

🎨 CREATIVE

I failed to recreate the 1996 Space Jam Website with Claude

via HackerNews 👤 thecr0w 📅 2025-12-07

🔺 156 pts ⚡ Score: 6.8

💬 HackerNews Buzz: 110 comments 🐝 BUZZING

🎯 LLM Limitations • Iterative Feedback • Practical Use Cases

💬 "Claude/LLMs in general are still pretty bad at the intricate details of layouts and visual things" • "Give Claude a way to iteratively poke at what it created (such as a playwright harness), and screenshot of what you want"

🔬 RESEARCH

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

via Arxiv 👤 Purbesh Mitra, Sennur Ulukus 📅 2025-12-04

⚡ Score: 6.8

"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..."

🔒 SECURITY

A profile of Byron Cook, a VP at Amazon who is leading the company's effort to reduce AI hallucinations with a feature called Automated Reasoning Checks

via Techmeme 👤 Fastcompany 📅 2025-12-07

⚡ Score: 6.7

🔬 RESEARCH

Arbitrage: Efficient Reasoning via Advantage-Aware Speculation

via Arxiv 👤 Monishwaran Maheswaran, Rishabh Tiwari, Yuezhou Hu et al. 📅 2025-12-04

⚡ Score: 6.6

"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..."

🔬 RESEARCH

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

via Arxiv 👤 Shashwat Shankar, Subhranshu Pandey, Innocent Dengkhw Mochahari et al. 📅 2025-12-04

⚡ Score: 6.5

"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..."

🛠️ TOOLS

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

via Techmeme 👤 Newsletter 📅 2025-12-06

⚡ Score: 6.5

🛠️ SHOW HN

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

via HackerNews 👤 youssefsiam38 📅 2025-12-06

🔺 2 pts ⚡ Score: 6.2

Stories from December 07, 2025

📡 AI NEWS BUT ACTUALLY GOOD