Background Following the release of GPT‑5.5 last weekhttps://openai.com/index/introducing-gpt-5-5/, users noticed something odd in OpenAI’s latest model. In it...
The Issue: Summarization APIs Leaking Reasoning Traces I caught my production summarization API exposing its internal chain‑of‑thought to users. When I sent th...
Integrating multimodal foundation models into enterprise ecosystems presents a fundamental software architecture challenge. Architects must balance competing qu...
Multimodal large language models (MLLMs) are increasingly used to translate visual artifacts into code, from UI mockups into HTML to scientific plots into Pytho...
Background An anonymous reader quotes a report from Ars Technica: the system prompt for OpenAI's Codex CLI contains a perplexing and repeated warning for the m...
In this paper an attractor FCM is created, tested, and analyzed. This FCM is neither a hebbian based nor agentic, nor a hybrid; it rather is a gradient descent ...
It’s been almost three years since Silicon Valley started aggressively pushing large language model‑based chatbots like ChatGPT as the supposedly inevitable fut...
Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks -- text and...
Could pixels hold the keys to training useful agents? The race to scale language models — and the agent ecosystem around them — is white‑hot. Coding agents, wh...
OpenAI’s Goblin Issue OpenAI is opening up about its goblin problem. After a report from Wired revealed instructions to OpenAI’s coding model to “never talk ab...
AI inference is becoming a persistent and geographically distributed source of electricity demand. Unlike many traditional electrical loads, inference workloads...
OpenAI has instructed some of its AI tools to stop mentioning goblins after the term began appearing randomly in responses. In a blog post on Thursday, the comp...
Developing reliable AI tools for healthcare July 2023 Learn more/blog/codoc-developing-reliable-ai-tools-for-healthcare/ !Healthcare AI illustrationhttps://lh3...
Meta doesn’t come up much in discussions of the top AI products these days, but its products are still benefiting from the ongoing surge of interest in the tech...
Unsupervised Machine Learning Unsupervised machine learning is a branch of machine learning where models are trained on data without labelled outcomes. Unlike...
The Problem When you run an LLM, the memory bottleneck is not the model weights – it is the KV cache. | Model | Weights 4-bit | KV Cache 128K ctx | Total | |--...
It's been almost three years since Silicon Valley started aggressively pushing large language model‑based chatbots like ChatGPT as the supposedly inevitable fut...
To preserve previously learned representations, continual learning systems must strike a balance between plasticity, the ability to acquire new knowledge, and s...
!제논‑KB금융그룹, 시니어 요양 특화 ‘피지컬 AI’ 공동 개발…AI EXPO서 공개https://besuccess.com/wp-content/uploads/2026/04/%EB%B3%B4%EB%8F%84%EC%9E%90%E3%85%8C%EC%9D%B4%EB%AF%B8%EC%A7%80...
Modeling invasive neural spike data is fundamental to advancing high-performance brain-computer interfaces (BCIs). However, existing approaches face critical ch...
The thing that really struck me when I came to MIT and strikes me every single day is the stuff that’s going on here is amazing. The science, the engineering… e...
Introducing Advanced Account Security Today, we’re introducing Advanced Account Security, a new opt‑in setting for ChatGPT accounts, designed for people at inc...
Susan Chang’s path into machine learning didn’t start in computer science — it started in economics. While studying econometrics, a field focused on applying st...
!The Meta AI logo on a phone.https://www.engadget.com/img/gallery/mark-zuckerberg-says-meta-is-working-on-ai-agents-for-personal-and-business-use/intro-17775043...
!Apple Intelligence iOS 26 dark bluehttps://9to5mac.com/wp-content/uploads/sites/6/2025/09/apple-intelligence-ios-26-02.jpg?quality=82&strip=all&w=1600 In a new...
Background In today’s hospitals and clinics, dermatologists may use artificial‑intelligence models to classify skin lesions and assess whether a lesion is at r...
Starting with GPT‑5.1, our models began developing a strange habit: they increasingly mentioned goblins, gremlins, and other creatures in their metaphors. Unlik...
!The Gemini icon sits next to the icons for ChatGPT and Claude in an iPhone folderhttps://www.engadget.com/img/gallery/gemini-can-now-generate-files-including-m...
This paper proposes RCMAES, a novel variant of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for CEC benchmark optimization. RCMAES integrates a ...
Background The system prompt for OpenAI’s Codex CLI contains a repeated warning for the most recent GPT model to “never talk about goblins, gremlins, raccoons,...
Continual learning agents with finite capacity must balance acquiring new knowledge with retaining the old. This requires controlled forgetting of knowledge tha...
Diffusion large language models (dLLMs) offer parallel decoding and bidirectional context, but state-of-the-art dLLMs require billions of parameters for competi...
Breakthrough progress in vision-based navigation through unknown environments has been achieved by using multimodal large language models (MLLMs). These models ...
We introduce ProcFunc, a library for Blender-based procedural 3D generation in Python. ProcFunc provides a library of easy-to-use Python functions, which stream...
We introduce Hyper Input Convex Neural Networks (HyCNNs), a novel neural network architecture designed for learning convex functions. HyCNNs combine the princip...
Small language models (SLMs) offer computational efficiency for scalable deployment, yet they often fall short of the reasoning power exhibited by their larger ...
Vision-language models (VLMs) have shown strong performance on static visual understanding, yet they still struggle with dynamic spatial reasoning that requires...
The Alternating Direction Method of Multipliers (ADMM) is a widely used method for structured convex optimization, and its practical performance depends strongl...
In Orabona and Pál [2016], we introduced the shifted KT potentials, to remove the ln ln T factor in the parameter-free learning with expert bound. In this short...
LLMs have achieved strong results on both function-level code synthesis and repository-level code modification, yet a capability that falls between these two ex...
Learning curves are a fundamental primitive in supervised learning, describing how an algorithm's performance improves with more data and providing a quantitati...
The task of capturing and rendering 3D dynamic scenes from 2D images has become increasingly popular in recent years. However, most conventional cameras are ban...
Can Neural Assemblies -- groups of neurons that fire together and strengthen through co-activation -- learn the direction of causal influence between variables?...
Recent advances in 4D content generation have attracted increasing attention, yet creating high-quality animated 3D models remains challenging due to the comple...
Claw-style environments support multi-step workflows over local files, tools, and persistent workspace states. However, scalable development around these enviro...
This paper provides a concise yet comprehensive review of recent advancements in millimeter-wave (mm-wave) oscillators below 100 GHz and sub-terahertz (sub-THz/...
We prove pathwise convergence of the layerwise evolution of tokens in a finite-depth, finite-width transformer model with MultiLayer Perceptron (MLP) blocks to ...
Fine-grained RGBT image semantic segmentation is crucial for all-weather unmanned aerial vehicle (UAV) scene understanding. However, UAV RGBT semantic segmentat...
