All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Salesforce представила новую модель рассуждения Koa на конференции Dreamforce, разработанную совместно с Nvidia. Koa предназначена для улучшения задач в области продаж, маркетинга и поддержки клиентов, предлагая открытый альтернативный вариант закрытым моделям ИИ. Модель не…
Модели ИИ нуждаются в большем количестве данных о биологии, и OpenAI платит за их создание.
У Claude Code начинает появляться собственная экосистема модов.
Agility said it engineered Digit 5 for cooperatively safe work at scale. | Source: Agility Robotics Agility Robotics today unveiled Digit 5, the latest version of its humanoid robot. The news comes as the company prepares to go public through a proposed SPAC merger with…
Images can be watermarked for copy protection. Now, get this. Claude AI announced that they are watermarking the text you generate with it. From when? When does this start? Well, Anthropic is rolling this out right now. Yep. I am not talking about this because I agree with it,…
When Jessica Wachter, a finance professor at the University of Pennsylvania’s Wharton School, wanted to assess AI’s impact on the economy over the next few years, she faced a long list of business and technical uncertainties. So she started with what she calls a “remarkable…
Louise Haig highlights the need for the UK government to heed the warnings of AI experts about the potential threats posed by artificial intelligence. Amid calls for international cooperation on AI regulation, concerns are being raised about...
US President Donald Trump has dismissed concerns about AI safety as a "hoax" and criticized calls for stricter regulations. The announcement comes after warnings from industry leaders about the potential risks of AI sent shares plunging...
The article raises questions about the need for AI security measures amid recent events, including the resignation of a researcher from Anthropic and growing concerns about uncontrolled progress in AI. Anthropic CEO Dario Amodei proposes a three-step plan...
For more than a decade, technology leaders have warned about the potential dangers of superintelligent AI, but the race to develop it continues. Recent resignations and calls for a slowdown highlight growing concerns about the risks posed by AI, including the loss of...
Рабочая среда с открытым исходным кодом для моделей с открытыми весами 🤯.
ipblocklist Агрегирует списки заблокированных IP адресов для входящего и исходящего трафика и обновляет их каждые два часа.
Инженер DeepSeek заявил, что не хочет, чтобы Anthropic получила контроль над AGI..
Revolut сам передал мошенникам паспортные данные клиентов Громкая история выходных из мира кибербезопасности: финт....
Molecular design is most effective when generation mirrors the edits chemists actually make: extending a scaffold, replacing a substituent, or decorating a scaffold at a specified attachment site while optimizing molecular properties. Fragment-based molecular design naturally…
Large Language Model (LLM) agents offer a promising path toward autonomously managing long-term physical tasks without human intervention. However, physical tasks require agents to continuously observe the environment, make consequential actions, and remain effective as the…
Timeseries multimodal large language models (TS-MLLMs) have recently begun leveraging the reasoning capabilities of large language models (LLMs) for question-answering tasks. However, these models often fail to capture dynamic temporal patterns, providing only implicit reasoning…
Existing pipelines for clinical timeline extraction from case reports are evaluated using an expert reference and are limited by imperfect reference annotations and imprecise event alignment. We developed GAVEL, an LLM judge protocol that compares two timelines with the case…
Generative AI is increasingly being used informally in Air Traffic Management (ATM) for tasks such as flight plan generation, trajectory interpretation, and constraint checking. Although these tools can reduce workload and accelerate planning, their non-deterministic outputs…
LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We study this problem through Vibe Patenting, an end-to-end patent-drafting testbed for AI-agent evaluation. A separately-invoked…
When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect? Towards autonomous and evolving intelligence, RSI is being claimed at many scales, while no single framework that formally describes these emerging instances exists.…
Large Language Models (LLMs) with function-calling capabilities are becoming critical for modern agentic AI systems. Nevertheless, current deployments typically route inferences to powerful cloud-based models, incurring significant energy use and carbon emissions. We address…
Safety research often focuses on model-generated harms, but users may also direct hostility, coercion, and adversarial pressure at models. Understanding how and when that occurs is essential for accurately interpreting model behaviour, alignment drift, and real-world deployment…
The increasing deployment of AI agents in long-horizon tasks yields massive execution logs. Diagnosing failures within these records is crucial for reliability, as it transforms outcome-level signals into actionable interventions. The sheer scale of the data renders human review…
The strong performance of AI Agents across an impressive variety of tasks is driving an unprecedented investment in agentic infrastructures, however the cost of processing tokens is fast increasing. Web agents automate the execution of web-application tasks described in natural…
LLM agents are predominantly benchmarked on short, single-task trajectories, yet real deployments run for hours under contention, surfacing a different class of failures. We use the Clinical Environment Simulator (CES), in which an agent manages an entire emergency-department…
Efficient utilization of supply chain analytics for decision making remains a significant challenge for planners, as critical tasks such as database querying, key performance indicator (KPI) analysis, demand forecasting, and performance diagnosis require heterogeneous expertise…
Although large language models (LLMs) have demonstrated remarkable capabilities, their reliance on cloud-scale infrastructure poses fundamental challenges for deployment in agentic pipelines, including latency, privacy, connectivity, and substantial computational cost. Small…