All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
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.
OpenAI plans to raise $30 billion ahead of its IPO at a valuation of $1.25 trillion.
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…
Should OpenAI command an over $1 trillion valuation with this round, it would break records as the most highly valued private company ever.
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,…
The next competitive advantage in enterprise AI has less to do with which model you choose than with what you build around it. That’s an important shift. For the past several years, much of the AI conversation has centered on model capability: bigger models, better reasoning,…
OpenAI made its Decisions API model available to users by entering the market.
AWS Machine Learning описывает, как устранить задержки в синтезе речи с помощью Kokoro TTS на Amazon SageMaker AI.
Amazon SageMaker AI запускает API для обучения моделей без управления GPU, обеспечивая алгоритмическую свободу.
AWS Machine Learning анонсирует новые возможности настройки моделей SageMaker AI.
Amazon Polly обновляет генеративный движок, добавляя 14 новых голосов и поддержку хинди и финского.
Canva is making its new image model available to all users, promising better, more customizable performance at lower costs.
OpenAI is launching its decision model to the world. Can it compete with the original Jev?
A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one. This session from MIT Technology Review’s EmTech Future conference explores what it takes to build that foundation in a highly…
Wearing cameras and sensor gloves, the startup’s human chemists will train robots to perform various lab tasks.
AWS Machine Learning shares techniques for avoiding errors in TTS auto-scaling.
Anthropic is donating the Agent Skills standard to the Agentic AI Foundation for further development.
[music] Today is a big day, right? We're launching work uh for the entire uh darker community. [applause and music] We in engineering world have adopted these tools and and they've changed the workflows themselves and now the rest of the community have been angry for it. This is…
Microsoft AI chief Mustafa Suleyman. | Getty Images For years, AI leaders have touted healthcare as one of the clearest examples of where their technology will improve lives. Now "it is finally here," Microsoft AI CEO Mustafa Suleyman tells The Verge. The company claims to have…
Uber announces the introduction of ChatGPT Work to all 30,000 employees of the company.