📚 HISTORICAL ARCHIVE - January 25, 2026
What was happening in AI on 2026-01-25
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Archive from: 2026-01-25 | Preserved for posterity ⚡
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🔬 RESEARCH
🎯 Memory Technology Innovation • Compute-in-Memory Architectures • Industry Insights
💬 "High Bandwidth Flash for 10X memory capacity with HBM-like bandwidth"
• "Processing-Near-Memory and 3D memory-logic stacking for high memory bandwidth"
🔬 RESEARCH
"Refusal behavior in aligned LLMs is often viewed as model-specific, yet we hypothesize it stems from a universal, low-dimensional semantic circuit shared across models. To test this, we introduce Trajectory Replay via Concept-Basis Reconstruction, a framework that transfers refusal interventions fro..."
🔬 RESEARCH
via Arxiv
👤 Song Xia, Meiwen Ding, Chenqi Kong et al.
📅 2026-01-22
⚡ Score: 7.1
"Multimodal large language models (MLLMs) exhibit strong capabilities across diverse applications, yet remain vulnerable to adversarial perturbations that distort their feature representations and induce erroneous predictions. To address this vulnerability, we propose the Feature-space Smoothing (FS)..."
🛠️ TOOLS
"**The Project:** I am building **R3-Engine**, a from-scratch, local AI inference engine for Microsoft's `bitnet-b1.58-2B-4T`. It is written in 100% Safe Rust, natively cross-compiles to Wasm SIMD128, and uses Zero heap allocations in the execution loop.
**The Physics:** By mapping a 64-byte aligned..."
🔬 RESEARCH
"State-of-the-art neural theorem provers like DeepSeek-Prover-V1.5 combine large language models with reinforcement learning, achieving impressive results through sophisticated training. We ask: do these highly-trained models still benefit from simple structural guidance at inference time? We evaluat..."
🧠 NEURAL NETWORKS
"A short deep-dive on Multi-Head Latent Attention (MLA) (from DeepSeek): intuition + math, then a walk from MHA → GQA → MQA → MLA, with PyTorch code and the fusion/absorption optimizations for KV-cache efficiency.
[
http://shreyansh26.github.io/post/2025-11-08\_multihead-latent-attention/](
http://shr..."
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🔬 RESEARCH
via Arxiv
👤 Onkar Susladkar, Tushar Prakash, Adheesh Juvekar et al.
📅 2026-01-22
⚡ Score: 6.7
"Discrete video VAEs underpin modern text-to-video generation and video understanding systems, yet existing tokenizers typically learn visual codebooks at a single scale with limited vocabularies and shallow language supervision, leading to poor cross-modal alignment and zero-shot transfer. We introd..."
🔬 RESEARCH
via Arxiv
👤 Moo Jin Kim, Yihuai Gao, Tsung-Yi Lin et al.
📅 2026-01-22
⚡ Score: 6.7
"Recent video generation models demonstrate remarkable ability to capture complex physical interactions and scene evolution over time. To leverage their spatiotemporal priors, robotics works have adapted video models for policy learning but introduce complexity by requiring multiple stages of post-tr..."
🛠️ SHOW HN
🎯 Local AI Computation • Video Enhancement • Collaborative Development
💬 "I wanted something that felt like a CLI tool and respected my hardware"
• "Wow, great job. I did smth similar 4 years ago with YOLO ultralytics"
🔒 SECURITY
"If you built an app using AI tools like Claude, Cursor, or Lovable, there's a good chance it has serious security vulnerabilities, even if everything works perfectly.
This article breaks down the 5 most common security vulnerabilities found in hundreds of vibe coded apps:
* Exposed API keys
* Expo..."
🔬 RESEARCH
via Arxiv
👤 Haq Nawaz Malik, Kh Mohmad Shafi, Tanveer Ahmad Reshi
📅 2026-01-22
⚡ Score: 6.3
"Optical Character Recognition (OCR) for low-resource languages remains a significant challenge due to the scarcity of large-scale annotated training datasets. Languages such as Kashmiri, with approximately 7 million speakers and a complex Perso-Arabic script featuring unique diacritical marks, curre..."
🔬 RESEARCH
via Arxiv
👤 Jiajun Zhang, Zeyu Cui, Lei Zhang et al.
📅 2026-01-22
⚡ Score: 6.3
"Code completion has become a central task, gaining significant attention with the rise of large language model (LLM)-based tools in software engineering. Although recent advances have greatly improved LLMs' code completion abilities, evaluation methods have not advanced equally. Most current benchma..."
🔬 RESEARCH
via Arxiv
👤 Neeley Pate, Adiba Mahbub Proma, Hangfeng He et al.
📅 2026-01-22
⚡ Score: 6.3
"Motivated reasoning -- the idea that individuals processing information may be motivated to reach a certain conclusion, whether it be accurate or predetermined -- has been well-explored as a human phenomenon. However, it is unclear whether base LLMs mimic these motivational changes. Replicating 4 pr..."
🔬 RESEARCH
via Arxiv
👤 Daixuan Cheng, Shaohan Huang, Yuxian Gu et al.
📅 2026-01-22
⚡ Score: 6.3
"We introduce LLM-in-Sandbox, enabling LLMs to explore within a code sandbox (i.e., a virtual computer), to elicit general intelligence in non-code domains. We first demonstrate that strong LLMs, without additional training, exhibit generalization capabilities to leverage the code sandbox for non-cod..."
🔬 RESEARCH
"Large language model (LLM) agents often exhibit abrupt shifts in tone and persona during extended interaction, reflecting the absence of explicit temporal structure governing agent-level state. While prior work emphasizes turn-local sentiment or static emotion classification, the role of explicit af..."
🛡️ SAFETY
"Please check the full podcast episode
here.
Amanda joins towards 00:24:00.
This is important.
Claude, like other models, reads the internet as part of its training/learning. The internet is full of people:
· Complaining about AI failures.
· Cr..."
🎯 AI Limits & Capabilities • Emotion in AI • Training Data Quality
💬 "Models are not alive"
• "Emotions aren't a pile of knowledge"