📚 HISTORICAL ARCHIVE - November 01, 2025
What was happening in AI on 2025-11-01
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Archive from: 2025-11-01 | Preserved for posterity ⚡
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🛠️ TOOLS
🎯 Using LLMs for debugging • Limitations and best practices of LLMs • Automating LLM-powered workflows
💬 "When I ask Claude for a debug, it's always something that makes sense as a checklist item"
• "I think part of the reason why I was initially more skeptical than I ought to have been is because chat is such a garbage modality"
🔄 OPEN SOURCE
"Open source code repository or project related to AI/ML."
🎯 Quant development • Model comparison • Model benchmarking
💬 "Cooking up a newer quant right now"
• "This model any good compared to qwen 235b and glm 4.6?"
🔬 RESEARCH
via Arxiv
👤 Zixu Shen, Kexin Chu, Yifan Zhang et al.
📅 2025-10-30
⚡ Score: 7.4
"The expansion of large language models is increasingly limited by the
constrained memory capacity of modern GPUs. To mitigate this,
Mixture-of-Experts (MoE) architectures activate only a small portion of
parameters during inference, significantly lowering both memory demand and
computational overhea..."
🔬 RESEARCH
via Arxiv
👤 Kimi Team, Yu Zhang, Zongyu Lin et al.
📅 2025-10-30
⚡ Score: 7.3
"We introduce Kimi Linear, a hybrid linear attention architecture that, for
the first time, outperforms full attention under fair comparisons across
various scenarios -- including short-context, long-context, and reinforcement
learning (RL) scaling regimes. At its core lies Kimi Delta Attention (KDA)..."
🔬 RESEARCH
via Arxiv
👤 Anushka Sivakumar, Andrew Zhang, Zaber Hakim et al.
📅 2025-10-30
⚡ Score: 7.2
"This work introduces SteerVLM, a lightweight steering module designed to
guide Vision-Language Models (VLMs) towards outputs that better adhere to
desired instructions. Our approach learns from the latent embeddings of paired
prompts encoding target and converse behaviors to dynamically adjust
activ..."
🛠️ SHOW HN
🎯 Limitations of LLMs • Determinism vs. Flexibility • Future of Software Development
💬 "LLMs can't implement RAFT consensus correctly"
• "If programmers were car people they would all insist on a Model T being the only real car"
🔬 RESEARCH
via Arxiv
👤 Biao Zhang, Yong Cheng, Siamak Shakeri et al.
📅 2025-10-30
⚡ Score: 7.1
"Recent large language model (LLM) research has undergone an architectural
shift from encoder-decoder modeling to nowadays the dominant decoder-only
modeling. This rapid transition, however, comes without a rigorous comparative
analysis especially \textit{from the scaling perspective}, raising concer..."
📡 AI NEWS BUT ACTUALLY GOOD
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🔒 SECURITY
🎯 Web Scraping Techniques • Protecting Against Bots • Impact on LLM Training
💬 "Most web scrapers, even if illegal, are for... business."
• "Maybe that's a way to defend against bots that ignore robots.txt"
🔬 RESEARCH
via Arxiv
👤 Mantas Mazeika, Alice Gatti, Cristina Menghini et al.
📅 2025-10-30
⚡ Score: 6.9
"AIs have made rapid progress on research-oriented benchmarks of knowledge and
reasoning, but it remains unclear how these gains translate into economic value
and automation. To measure this, we introduce the Remote Labor Index (RLI), a
broadly multi-sector benchmark comprising real-world, economical..."
🤖 AI MODELS
"I’m excited to share **Part 3** of my series on building an LLM *from scratch*.
This installment dives into the guts of model architecture, multi-GPU training, memory-precision tricks, checkpointing & inference.
**What you’ll find inside:**
* Two model sizes (117M & 354M parameters) a..."
🔬 RESEARCH
via Arxiv
👤 Zhichao Wang, Dongyang Ma, Xinting Huang et al.
📅 2025-10-30
⚡ Score: 6.8
"The "end-to-end" label for LLMs is a misnomer. In practice, they depend on a
non-differentiable decoding process that requires laborious, hand-tuning of
hyperparameters like temperature and top-p. This paper introduces AutoDeco, a
novel architecture that enables truly "end-to-end" generation by lear..."
🔬 RESEARCH
via Arxiv
👤 William Overman, Mohsen Bayati
📅 2025-10-30
⚡ Score: 6.7
"As increasingly capable agents are deployed, a central safety question is how
to retain meaningful human control without modifying the underlying system. We
study a minimal control interface where an agent chooses whether to act
autonomously (play) or defer (ask), while a human simultaneously choose..."
🔬 RESEARCH
via Arxiv
👤 Penghui Qi, Zichen Liu, Xiangxin Zhou et al.
📅 2025-10-30
⚡ Score: 6.7
"Reinforcement learning (RL) fine-tuning of large language models (LLMs) often
suffers from instability due to the numerical mismatch between the training and
inference policies. While prior work has attempted to mitigate this issue
through algorithmic corrections or engineering alignments, we show t..."
🔬 RESEARCH
"tl;dr — ArXiv CS will no longer be accepting literature reviews, surveys or position papers because there's too much LLM-generated spam. They must now be accepted and published at a "
decent venue" first."
🎯 Academic Publication Standards • Reproducibility Crisis • Open Access Dilemma
💬 "The average position paper should've been a blog post"
• "Now we need something that no one will mistake for being prestigious"
🔬 RESEARCH
via Arxiv
👤 Hyunji Lee, Minseon Kim, Chinmay Singh et al.
📅 2025-10-30
⚡ Score: 6.6
"As coding agents are increasingly deployed in large codebases, the need to
automatically design challenging, codebase-level evaluation is central. We
propose Gistify, a task where a coding LLM must create a single, minimal,
self-contained file that can reproduce a specific functionality of a codebas..."
🔬 RESEARCH
via Arxiv
👤 Zewen Chi, Li Dong, Qingxiu Dong et al.
📅 2025-10-30
⚡ Score: 6.5
"We envision a new era of AI, termed agentic organization, where agents solve
complex problems by working collaboratively and concurrently, enabling outcomes
beyond individual intelligence. To realize this vision, we introduce
asynchronous thinking (AsyncThink) as a new paradigm of reasoning with lar..."
🔬 RESEARCH
via Arxiv
👤 Shahriar Noroozizadeh, Vaishnavh Nagarajan, Elan Rosenfeld et al.
📅 2025-10-30
⚡ Score: 6.5
"In sequence modeling, the parametric memory of atomic facts has been
predominantly abstracted as a brute-force lookup of co-occurrences between
entities. We contrast this associative view against a geometric view of how
memory is stored. We begin by isolating a clean and analyzable instance of
Trans..."
🤖 AI MODELS
"Hugging Face model, dataset, or community resource."
🎯 Visual Language Models • Model Performance Comparison • Deployment Considerations
💬 "30B A3B is fairly competitive for VLM tasks to Gemma3 and Llama 4 Scout"
• "Qwen3 VL is going to lead me to just delete it"