π HISTORICAL ARCHIVE - September 14, 2025
What was happening in AI on 2025-09-14
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Archive from: 2025-09-14 | Preserved for posterity β‘
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π HOT STORY
"15 hours ago..."
π HOT STORY
via Arxiv
π€ Bingxin Xu, Zhen Dong, Oussama Elachqar et al.
π
2025-09-11
β‘ Score: 8.6
"Large language models require massive memory footprints, severely limiting
deployment on consumer hardware. Quantization reduces memory through lower
numerical precision, but extreme 2-bit quantization suffers from catastrophic
performance loss due to outliers in activations. Rotation-based methods..."
π οΈ SHOW HN
πΊ 15 pts
β‘ Score: 8.5
π¬ RESEARCH
via Arxiv
π€ Daria Laslo, Efthymios Georgiou, Marius George Linguraru et al.
π
2025-09-11
β‘ Score: 8.0
"Predicting the spatio-temporal progression of brain tumors is essential for
guiding clinical decisions in neuro-oncology. We propose a hybrid mechanistic
learning framework that combines a mathematical tumor growth model with a
guided denoising diffusion implicit model (DDIM) to synthesize anatomica..."
π¬ RESEARCH
via Arxiv
π€ Haozhan Li, Yuxin Zuo, Jiale Yu et al.
π
2025-09-11
β‘ Score: 8.0
"Vision-Language-Action (VLA) models have recently emerged as a powerful
paradigm for robotic manipulation. Despite substantial progress enabled by
large-scale pretraining and supervised fine-tuning (SFT), these models face two
fundamental challenges: (i) the scarcity and high cost of large-scale
hum..."
π¬ RESEARCH
via Arxiv
π€ Ira J. S. Shokar, Rich R. Kerswell, Peter H. Haynes
π
2025-09-11
β‘ Score: 8.0
"We present a deep learning emulator for stochastic and chaotic
spatio-temporal systems, explicitly conditioned on the parameter values of the
underlying partial differential equations (PDEs). Our approach involves
pre-training the model on a single parameter domain, followed by fine-tuning on
a smal..."
π¬ RESEARCH
via Arxiv
π€ Minghang Zhu, Zhengliang Shi, Zhiwei Xu et al.
π
2025-09-11
β‘ Score: 8.0
"The advancement of large language models (LLMs) has enabled the construction
of multi-agent systems to solve complex tasks by dividing responsibilities
among specialized agents, such as a planning agent for subgoal generation and a
grounding agent for executing tool-use actions. Most existing method..."
π¬ RESEARCH
via Arxiv
π€ Jielin Qiu, Zuxin Liu, Zhiwei Liu et al.
π
2025-09-11
β‘ Score: 8.0
"The emergence of long-context language models with context windows extending
to millions of tokens has created new opportunities for sophisticated code
understanding and software development evaluation. We propose LoCoBench, a
comprehensive benchmark specifically designed to evaluate long-context LL..."
π¬ RESEARCH
via Arxiv
π€ Ignacy StΔpka, Jerzy Stefanowski
π
2025-09-11
β‘ Score: 8.0
"Machine learning models in dynamic environments often suffer from concept
drift, where changes in the data distribution degrade performance. While
detecting this drift is a well-studied topic, explaining how and why the
model's decision-making logic changes still remains a significant challenge. In..."
π¬ RESEARCH
via Arxiv
π€ Sanjay Basu, Sadiq Y. Patel, Parth Sheth et al.
π
2025-09-11
β‘ Score: 8.0
"We introduce Feasibility-Guided Fair Adaptive Reinforcement Learning
(FG-FARL), an offline RL procedure that calibrates per-group safety thresholds
to reduce harm while equalizing a chosen fairness target (coverage or harm)
across protected subgroups. Using de-identified longitudinal trajectories fr..."
π‘ AI NEWS BUT ACTUALLY GOOD
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π¬ RESEARCH
via Arxiv
π€ Shulai Zhang, Ao Xu, Quan Chen et al.
π
2025-09-11
β‘ Score: 8.0
"Embodied AI systems operate in dynamic environments, requiring seamless
integration of perception and generation modules to process high-frequency
input and output demands. Traditional sequential computation patterns, while
effective in ensuring accuracy, face significant limitations in achieving th..."
π¬ RESEARCH
via Arxiv
π€ Mohsen Fayyaz, Ali Modarressi, Hanieh Deilamsalehy et al.
π
2025-09-11
β‘ Score: 8.0
"Mixture-of-Experts (MoE) in Large Language Models (LLMs) routes each token
through a subset of specialized Feed-Forward Networks (FFN), known as experts.
We present SteerMoE, a framework for steering MoE models by detecting and
controlling behavior-linked experts. Our detection method identifies exp..."
π¬ RESEARCH
via Arxiv
π€ Bangzhao Shu, Isha Joshi, Melissa Karnaze et al.
π
2025-09-11
β‘ Score: 8.0
"The versatility of Large Language Models (LLMs) in natural language
understanding has made them increasingly popular in mental health research.
While many studies explore LLMs' capabilities in emotion recognition, a
critical gap remains in evaluating whether LLMs align with human emotions at a
fine-..."
π¬ RESEARCH
via Arxiv
π€ Meghan Wilkinson, Robert H Thomson
π
2025-09-11
β‘ Score: 8.0
"Supervised machine learning techniques rely on labeled data to achieve high
task performance, but this requires the labels to capture some meaningful
differences in the underlying data structure. For training network intrusion
detection algorithms, most datasets contain a series of attack classes an..."
π¬ RESEARCH
via Arxiv
π€ Rongyao Fang, Aldrich Yu, Chengqi Duan et al.
π
2025-09-11
β‘ Score: 8.0
"The advancement of open-source text-to-image (T2I) models has been hindered
by the absence of large-scale, reasoning-focused datasets and comprehensive
evaluation benchmarks, resulting in a performance gap compared to leading
closed-source systems. To address this challenge, We introduce FLUX-Reason..."
π€ AI MODELS
π― Speculative decoding vs. cascading β’ Quality vs. speed trade-offs β’ Confusion around cascading mechanics
π¬ "Spec decode gets 73% right on GSM8K, but spec cascade got around 77% right."
β’ "The verifier tokens do not always come from the big model for cascades!"
π¬ RESEARCH
via Arxiv
π€ Paolo Pedinotti, Peter Baumann, Nathan Jessurun et al.
π
2025-09-11
β‘ Score: 8.0
"Large Language Models (LLMs) have rapidly reshaped financial NLP, enabling
new tasks and driving a proliferation of datasets and diversification of data
sources. Yet, this transformation has outpaced traditional surveys. In this
paper, we present MetaGraph, a generalizable methodology for extracting..."
π¬ RESEARCH
via Arxiv
π€ Haolan Zheng, Yanlai Chen, Jiequn Han et al.
π
2025-09-11
β‘ Score: 8.0
"We propose a novel data-lean operator learning algorithm, the Reduced Basis
Neural Operator (ReBaNO), to solve a group of PDEs with multiple distinct
inputs. Inspired by the Reduced Basis Method and the recently introduced
Generative Pre-Trained Physics-Informed Neural Networks, ReBaNO relies on a
m..."
π¬ RESEARCH
via Arxiv
π€ Runpeng Dai, Linfeng Song, Haolin Liu et al.
π
2025-09-11
β‘ Score: 8.0
"Reinforcement Learning with Verifiable Rewards (RLVR) is a powerful paradigm
for enhancing the reasoning ability of Large Language Models (LLMs). Yet
current RLVR methods often explore poorly, leading to premature convergence and
entropy collapse. To address this challenge, we introduce Curiosity-Dr..."
π¬ RESEARCH
via Arxiv
π€ Sourav Garg, Dustin Craggs, Vineeth Bhat et al.
π
2025-09-11
β‘ Score: 8.0
"Visual navigation using only a single camera and a topological map has
recently become an appealing alternative to methods that require additional
sensors and 3D maps. This is typically achieved through an "image-relative"
approach to estimating control from a given pair of current observation and
s..."
π¬ RESEARCH
via Arxiv
π€ Akshit Sinha, Arvindh Arun, Shashwat Goel et al.
π
2025-09-11
β‘ Score: 8.0
"Does continued scaling of large language models (LLMs) yield diminishing
returns? Real-world value often stems from the length of task an agent can
complete. We start this work by observing the simple but counterintuitive fact
that marginal gains in single-step accuracy can compound into exponential..."
π¬ RESEARCH
via Arxiv
π€ Maysam Behmanesh, Erkan Turan, Maks Ovsjanikov
π
2025-09-11
β‘ Score: 8.0
"Graph alignment-the problem of identifying corresponding nodes across
multiple graphs-is fundamental to numerous applications. Most existing
unsupervised methods embed node features into latent representations to enable
cross-graph comparison without ground-truth correspondences. However, these
meth..."
π¬ RESEARCH
via Arxiv
π€ Ngoc-Son Nguyen, Hieu-Nghia Huynh-Nguyen, Thanh V. T. Tran et al.
π
2025-09-11
β‘ Score: 8.0
"Zero-shot Text-to-Speech (TTS) aims to synthesize high-quality speech that
mimics the voice of an unseen speaker using only a short reference sample,
requiring not only speaker adaptation but also accurate modeling of prosodic
attributes. Recent approaches based on language models, diffusion, and fl..."
π¬ RESEARCH
via Arxiv
π€ Akshit Achara, Esther Puyol Anton, Alexander Hammers et al.
π
2025-09-11
β‘ Score: 8.0
"Magnetic resonance imaging (MRI) is the gold standard for brain imaging. Deep
learning (DL) algorithms have been proposed to aid in the diagnosis of diseases
such as Alzheimer's disease (AD) from MRI scans. However, DL algorithms can
suffer from shortcut learning, in which spurious features, not dir..."
π¬ RESEARCH
via Arxiv
π€ Yiqun T. Chen, Tyler H. McCormick, Li Liu et al.
π
2025-09-11
β‘ Score: 7.0
"Verbal autopsy (VA) is a critical tool for estimating causes of death in
resource-limited settings where medical certification is unavailable. This
study presents LA-VA, a proof-of-concept pipeline that combines Large Language
Models (LLMs) with traditional algorithmic approaches and embedding-based..."
π¬ RESEARCH
via Arxiv
π€ Vadim Zadykian, Bruno Andrade, Haithem Afli
π
2025-09-11
β‘ Score: 7.0
"Semantic Textual Relatedness (STR) captures nuanced relationships between
texts that extend beyond superficial lexical similarity. In this study, we
investigate STR in the context of job title matching - a key challenge in
resume recommendation systems, where overlapping terms are often limited or
m..."
π οΈ SHOW HN
π― Consistency in API design β’ Modular architecture β’ Separation of concerns
π¬ "Your views are not following a single convention"
β’ "break up your views into logical modules"
π± MOBILE
"Running advanced AI models on mobile devices has always been challenging due to limited processing power, memory, and battery life. In 2025, the rise of quantized models is changing the game. By reducing the precision of numerical representations while maintaining performance, quantization is enabli..."
π’ BUSINESS
"11 hours ago Gregory Gondwe / Associated Press:..."
βοΈ ETHICS
π― Data scraping ethics β’ AI impact on content access β’ Sustainability of AI practices
π¬ "Those things were afterthoughts because for the most part the experimental methods sucked"
β’ "Openly adversarial actions like serving up poisoned text that would induce LLMs to hallucinate is much more defensible"
π§ INFRASTRUCTURE
"I was running a 9070XT and compiling Llama.cpp for it. Since performance felt a bit short vs my other 5070TI. I decided to try the new ROCm Drivers. The difference is impressive.
[ROCm 6.4.3](
https://preview.redd.it/mqyfrxqk85pf1.png?width=1518&format=png&auto=webp&s=b244b74b62ed1a14e4f..."
π― ROCm installation challenges β’ AMD hardware performance β’ Community troubleshooting
π¬ "the installation is never straightforward and never works without heavy debugging"
β’ "Anybody figure out the satanic ritual required to get it to build for gfx906 yet?"
π¬ RESEARCH
πΊ 2 pts
β‘ Score: 7.0
π° FUNDING
"Brian Kahn /
Bloomberg: **[Lila Sciences, which uses AI to develop novel drugs and materials, raised $235M at a ~$1.23B valuation, after coming out of stealth in March with a $200M seed](
https://www.bloomberg.com/news/articles/2025-09-13/ai-unicorn-lila-sciences-raises-..."
π¬ RESEARCH
via Arxiv
π€ Zakaria El Kassimi, Fares Fourati, Mohamed-Slim Alouini
π
2025-09-11
β‘ Score: 7.0
"We study question answering in the domain of radio regulations, a legally
sensitive and high-stakes area. We propose a telecom-specific
Retrieval-Augmented Generation (RAG) pipeline and introduce, to our knowledge,
the first multiple-choice evaluation set for this domain, constructed from
authoritat..."
π¬ RESEARCH
via Arxiv
π€ Roshan Balaji, Joe Bobby, Nirav Pravinbhai Bhatt
π
2025-09-11
β‘ Score: 7.0
"Molecular property prediction using deep learning (DL) models has accelerated
drug and materials discovery, but the resulting DL models often lack
interpretability, hindering their adoption by chemists. This work proposes
developing molecule representations using the concept of Functional Groups (FG..."
π¬ RESEARCH
via Arxiv
π€ Siddarth Mamidanna, Daking Rai, Ziyu Yao et al.
π
2025-09-11
β‘ Score: 7.0
"Large language models (LLMs) demonstrate proficiency across numerous
computational tasks, yet their inner workings remain unclear. In theory, the
combination of causal self-attention and multilayer perceptron layers allows
every token to access and compute information based on all preceding tokens...."
π OPEN SOURCE
"Hey r/LocalLLaMA!
mudler here, creator of LocalAI (
https://github.com/mudler/LocalAI ). For those who might not know, LocalAI is an open-source, self-hosted inference engine that acts as a drop-in replacement for the OpenAI API. The whole point is to give you a..."
π― LocalAI Updates β’ User Experiences β’ Windows Support
π¬ "I'll try this as soon as Windows version(Non Docker) available."
β’ "It'd be great to have a better getting started experience."