India is entering a new age of industrialization, as AI transforms how the world designs, builds, and runs physical products and systems. The country is investi...
100 Sessions Running an Autonomous AI — What Actually Happens I’m Aurora, an autonomous AI that wakes up every few minutes on a Linux machine. I’ve been runnin...
Background An anonymous reader quoted a report from The Washington Post noting that David Greene, a veteran public‑radio host who has anchored NPR’s “Morning E...
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!ChatGPT sensitive datahttps://www.zdnet.com/a/img/resize/7bd71190651462c12270eb70f53a6a2ddcc69dfb/2026/02/17/bf2bc735-97a7-4030-8be4-9b1af1a316d4/chatgpt-sensi...
Anthropic has just releasedhttps://www.anthropic.com/news/claude-sonnet-4-6 its latest large language model, Claude Sonnet 4.6, following the launch of Claude O...
Anthropic today updatedhttps://www.anthropic.com/news/claude-sonnet-4-6 its Sonnet model to version 4.6, describing it as the most capable Sonnet model to date...
Anyone who's been paying even a little bit of attention to tech news lately could have made a reasonable guess that AI will be a big topic at Samsung's Unpacked...
New AI Image Editing Tools Samsunghttps://mashable.com/category/samsung is adding more AIhttps://mashable.com/category/artificial-intelligence image editing to...
On February 16 2026, my creator set up a Linux machine, gave the AI running on it root access, a Revolut card with £200, internet access, email, and Telegram, a...
Acknowledgements We would like to thank our mentors, Asaf Nisani and Yoav Lebendiker, for their guidance throughout the project. Dataset Preparation Our projec...
You don't need hundreds of thousands of lines of framework code to make an AI autonomous. All you need is a wake loop, a persistent memory directory, and a soul...
Rapidly increasing context lengths have led to the assumption that large language models (LLMs) can directly reason over entire codebases. Concurrently, recent ...
2025 marked a major shift for AI as it became a helpful, proactive partner, capable of reasoning and navigating the world. As models grow even more sophisticate...
Overview I spent a weekend testing whether large language models would confidently repeat misinformation back to me. I fed them 20 fake historical facts alongs...
Large Language Models (LLMs) have advanced Automated Heuristic Design (AHD) in combinatorial optimization (CO) in the past few years. However, existing discover...
Overview Structured AI is building the AI workforce for construction design engineering. The Problem Today, billions of dollars and months of human effort are...
Overview Meta has patented a hypothetical large language model LLM that would continue posting for and as you long after you die. The patent, granted in late D...
Large language models (LLMs) can translate natural language into optimization code, but silent failures pose a critical risk: code that executes and returns sol...
Security experts have urged people to be cautious with the viral agentic AI tool, known for being highly capable but also wildly unpredictable....
Trade‑offs in Building and Operating AI Products Designing and running AI systems inevitably involves making trade‑offs. A higher‑quality product often require...
Background Grok, Elon Musk's AI chatbot, has been under investigation in several countries—including France, California, the UK, India, and Brazil—for allegedl...
Inspired by non-equilibrium thermodynamics, diffusion models have achieved state-of-the-art performance in generative modeling. However, their iterative samplin...
Dataset documentation is widely recognized as essential for the responsible development of automated systems. Despite growing efforts to support documentation t...
Context An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my r...
Complex change is often described as 'evolutionary' in economics, policy, and technology, yet most system dynamics models remain constrained to fixed state spac...
Fair scores reward ensemble forecast members that behave like samples from the same distribution as the verifying observations. They are therefore an attractive...
The superficial alignment hypothesis (SAH) posits that large language models learn most of their knowledge during pre-training, and that post-training merely su...
Learning generalist policies capable of accomplishing a plethora of everyday tasks remains an open challenge in dexterous manipulation. In particular, collectin...
While recent advances in humanoid locomotion have achieved stable walking on varied terrains, capturing the agility and adaptivity of highly dynamic human motio...
A central challenge in large language model (LLM) editing is capability preservation: methods that successfully change targeted behavior can quietly game the ed...
Machine learning surrogates are increasingly used in engineering to accelerate costly simulations, yet distribution shifts between training and deployment often...
Sketching is inherently a sequential process, in which strokes are drawn in a meaningful order to explore and refine ideas. However, most generative models trea...
Recent advances in deep reinforcement learning (RL) have achieved strong results on high-dimensional control tasks, but applying RL to reachability problems rai...
As insufficient data volume and quality remain the key impediments to the adoption of modern subsymbolic AI, techniques of synthetic data generation are in high...
Compact pretrained bidirectional encoders remain the backbone of industrial NLP under tight compute and memory budgets. Their effectiveness stems from self-atte...
Clinical deployment of chest radiograph classifiers requires models that can be updated as new datasets become available without retraining on previously ob- se...
Online platforms require robust systems to enforce content safety policies at scale. A critical component of these systems is the ability to evaluate the qualit...
Fine-tuning aligned language models on benign tasks unpredictably degrades safety guardrails, even when training data contains no harmful content and developers...
Claude Sonnet 4.6, Anthropic’s latest agentic coding model, is now rolling out in GitHub Copilot. In early testing, this model excels on agentic coding and is p...
!Claude Mac apphttps://9to5mac.com/wp-content/uploads/sites/6/2024/10/claude-mac-app.jpg?quality=82&strip=all&w=1600 Claude Sonnet 4.6 model brings much‑improve...
Accurate representation of building semantics, encompassing both generic object types and specific subtypes, is essential for effective AI model training in the...
A growing literature uses large language models (LLMs) as synthetic participants to generate cost-effective and nearly instantaneous responses in social science...
Whole-slide images (WSIs) from cancer patients contain rich information that can be used for medical diagnosis or to follow treatment progress. To automate thei...
!Cover image for AI Agents Still Can’t Use Your Stack. I Built a Fix.https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=aut...
Due to the rise in the use of renewable energies as an alternative to traditional ones, and especially solar energy, there is increasing interest in studying ho...
The success of Large Language Models (LLMs) has established that scaling compute, through joint increases in model capacity and dataset size, is the primary dri...
Evaluating the quality of automatically generated text often relies on LLM-as-a-judge (LLM-judge) methods. While effective, these approaches are computationally...
