All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
arXiv:2610.30611v1 Announce Type: new Abstract: Scaling large language models has substantially improved linguistic fluency, yet reliable autonomous agents require more than fluent generation. In multi-turn inference, current agentic systems often produce semantically plausible…
arXiv:2610.30631v1 Announce Type: new Abstract: Medical knowledge evolves as clinical guidelines revise recommendations, yet whether large language models (LLMs) faithfully incorporate such changes remains unclear. We introduce ChronoEvo, comprising 1,709 recommendation-level…
arXiv:2610.30450v1 Announce Type: new Abstract: Reasoning LLMs often continue reasoning after reaching a correct answer, wasting computation and sometimes replacing it with an incorrect one. Deciding when to stop is a metareasoning problem: the model must weigh what further…
arXiv:2610.30582v1 Announce Type: new Abstract: AI control protocols aim to get useful work from models that may be misaligned by monitoring their behaviour. One approach uses a second copy of the same model as the monitor. This avoids relying on a weaker reviewer the model…
arXiv:2610.30537v1 Announce Type: new Abstract: Frontier language models now score above 90% on popular knowledge benchmarks and are increasingly deployed as agents that carry out multi-hour professional work. Yet no existing benchmark tests whether they can perform the…
arXiv:2610.30157v1 Announce Type: new Abstract: AI agents require interfaces to interact with external systems such as files, APIs, databases, and cloud services. Two competing paradigms have emerged: CLI (Command Line Interface), where agents execute shell commands directly,…
arXiv:2610.30391v1 Announce Type: new Abstract: Neuro-symbolic (NeSy) predictors that supervise only the task label suffer from reasoning shortcuts: distinct concept mappings achieve the same maximum likelihood, leaving the recovered concepts unidentifiable and unsafe for…
arXiv:2610.30488v1 Announce Type: new Abstract: World models help agents assess the consequences of their actions before acting. Many real systems, however, involve multiple actors who make their own decisions, can evolve even when the agent takes no action, and are only…
arXiv:2610.30170v1 Announce Type: new Abstract: Canada's increasing wildfire activity requires frequent national hazard mapping to guide proactive mitigation, including fuel management, land-use planning, infrastructure protection, and evacuation routing. However, process-based…
arXiv:2610.30176v1 Announce Type: new Abstract: We investigate structural conditions under which preferred and stable semantics agree in abstract argumentation frameworks. Our approach is based on suitably chosen sets of paths in the attack graph and binary relations induced by…
arXiv:2610.30205v1 Announce Type: new Abstract: When an LLM agent's move fails, the harness writes the move and the failure message into the transcript and asks again. In tool calling, this record makes small models more likely to repeat the failed action. We test whether the…
arXiv:2610.30485v1 Announce Type: new Abstract: Personal intelligence systems are taking on increasingly complex everyday tasks, yet repeated questions, unnecessary confirmations, and unwanted outreach can turn capable assistance into interaction burden. Reducing this burden…
arXiv:2610.30173v1 Announce Type: new Abstract: Yager's 1987 rule of combination $\boxplus$ was proposed on epistemic grounds: under high conflict, mass should be redistributed to ignorance rather than renormalised onto the class simplex. We observe that backpropagation needs…
arXiv:2610.30443v1 Announce Type: new Abstract: Multi-task generalization is an important yet underexplored problem in multi-agent reinforcement learning (MARL). Many real-world applications require multi-agent systems to generalize across complex, temporally extended tasks with…
arXiv:2610.30436v1 Announce Type: new Abstract: Sixth-generation (6G) communication systems are expected to support immersive, intent-driven, and latency-critical services through tight integration of multimodal intelligence, edge computing, and autonomous network control. In…
Generative artificial intelligence models are rooted in ideas of mid-20th century engineers who thought some amount of irrationality was essential for a machine that could think like a human, contends Benjamin Lindquist, an assistant professor in the MIT History Section, who…
MIT researchers marooned 13 AIs on a virtual island, and they responded by inventing games, mourning a lost ring and, eventually, getting better at their jobs.
Last time we looked at embedding watermarks in text output from well, usually AI, right? So, any generative process. I thought it might be more interesting to look at the image side of things because watermarks are also being embedded in images. And given that I work in computer…
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
OpenAI plans to raise $30 billion ahead of its IPO at a valuation of $1.25 trillion.
Today, I'm joined by Alex Danilovich, co-founder and CEO of Magic Patterns, an AI design tool that takes you from an idea to a real interactive code-backed prototype in minutes. We'll look under the hood to see how Magic Patterns works, hear his origin story as a non-designer,…
Thanks for checking out this MCP security course. I'm Dan Barahona, founder of AI Security University. And this video is part of our suite of free courses and weekly live events. Stick around till the end of the video and you'll have a chance to take a final quiz, earn your…
Training a Frontier model can cost hundreds of millions of dollars and take months. But once that model is produced, it's just a huge set of numbers sitting idly in memory. A model doesn't know how to do anything on its own. So what's going on behind the scenes to bring that…
the programmer. Four years ago, science classified 10 known variants of this animal, and the taxonomy held up pretty well until an asteroid hit in 2023 and nearly wiped them off the Earth. Since then, the habitat has changed. The nine out of 10 developers are now using AI to…
Andreessen Horowitz renamed its digital assets division from a16z Crypto to a16z Frontier, reflecting declining interest in cryptocurrency investments. The new focus will encompass technologies such as AI and robotics, while not forgetting the potential…
A Blog post by Microsoft on Hugging Face
Should OpenAI command an over $1 trillion valuation with this round, it would break records as the most highly valued private company ever.
Messi asked ChatGPT to teach him a chess opening that matched his style. It suggested Goat Horns. 🐐🤘 Try ChatGPT's Intelligent UI yourself: “Based on what you know about me, teach me something new. Show me step by step."
Canva is diving even deeper into AI with the launch of an image generation model that competes directly with those from OpenAI, Microsoft, and Google. The model, called Canva Craft, uses a two-stage architecture that allows it to plan a design before generating an image,…
AI stocks fell sharply, hurting global markets, while oil prices hit a May high on concerns over the Iran conflict. The S&P 500 and Nasdaq indexes dropped significantly, overshadowing gains in other sectors. Companies such as Lam Research and…