Research1 мин
Инженер DeepSeek заявил, что не хочет, чтобы Anthropic получила контроль над AGI.
Инженер DeepSeek заявил, что не хочет, чтобы Anthropic получила контроль над AGI..
Telegram — Вайб-кодинг
Publication Catalog
All stories
All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
9548
Stories
Startups1 мин
There are 11 crypto exchanges and three stablecoin issuers in the AIFC
В МФЦА работают 11 криптобирж и три эмитента стейблкоинов.
Telegram — BlueScreen.kz
Crypto & Blockchain1 мин
The turnover of the regulated crypto market in Kazakhstan increased to $10.58 billion
Оборот регулируемого крипторынка Казахстана вырос до $10,58 млрд.
Telegram — BlueScreen.kz
Crypto & Blockchain1 мин
In Kazakhstan, it will be possible to pay for goods, services and cross-border transfers using stablecoins
Стейблкоинами в Казахстане можно будет оплачивать товары, услуги и трансграничные переводы.
Telegram — BlueScreen.kz
Policy & regulation1 мин
Kazakhstan is working on a regional Binance model and a “seamless” digital asset market
Казахстан прорабатывает региональную модель Binance и «бесшовный» рынок цифровых активов.
Telegram — BlueScreen.kz
Policy & regulation1 мин
Crypto cards, crypto-QR and crypto-acquiring are already operating in Kazakhstan
В Казахстане уже работают криптокарты, крипто-QR и криптоэквайринг.
Telegram — BlueScreen.kz
Research1 мин
Why does Kazakhstan need scientists capable of working at the intersection of science, AI and automation - forbes.kz
Зачем Казахстану ученые, способные работать на стыке науки, ИИ и автоматизации - forbes.kz.
Forbes.kz (Google News)
General1 мин
In East Kazakhstan region, robot dogs were used for the first time to protect public order
The first experience of using robot dogs at the Nomad Álemi festival showed that modern technologies can effectively help the police in ensuring security.
Profit.kz — ИТ в Казахстане
FinTech1 мин
Revolut itself handed over clients' passport data to scammers A high-profile story of a weekend from the world of cybersecurity: a fin...
Revolut сам передал мошенникам паспортные данные клиентов Громкая история выходных из мира кибербезопасности: финт....
Telegram — BlueScreen.kz
Policy & regulation1 мин
Kazakhstan and South Korea discussed projects in the field of AI, digitalization and space
Казахстан и Южная Корея обсудили проекты в сфере ИИ, цифровизации и космоса.
Telegram — BlueScreen.kz
Research1 мин
Fraglingo: Molecular Design via Attachment-Aware Autoregressive Fragment Generation
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…
arXiv — cs.AI
Research1 мин
Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks?
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…
arXiv — cs.AI
Research1 мин
TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models
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…
arXiv — cs.AI
Research1 мин
Grounded Adjudication of Variations across Extracted TimeLines (GAVEL): Comparing Clinical Timelines Against Their Case Reports
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…
arXiv — cs.AI
Industry AI1 мин
Toward a Decision-Assurance Layer for AI-Assisted Flight Planning in Air Traffic Management
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…
arXiv — cs.AI
Research1 мин
Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents
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…
arXiv — cs.AI
Research1 мин
Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement
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.…
arXiv — cs.AI
Research1 мин
Carbon-Aware Routing for Function Calling in Edge-Cloud LLM Systems
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…
arXiv — cs.AI
Research1 мин
How User-AI Mistreatment Occurs and Matters in Conversational Systems?
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…
arXiv — cs.AI
Research1 мин
Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures
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…
arXiv — cs.AI
Crypto & Blockchain1 мин
Token Efficient Task Execution via Application Behavior Modeling for Web Agents
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…
arXiv — cs.AI
Research1 мин
Asclepius: An Adaptive Harness for Long-Horizon Clinical Agents
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…
arXiv — cs.AI
Industry AI1 мин
A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics
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…
arXiv — cs.AI
Research1 мин
OrchSLM: Probing the Dynamics of Small Language Model Orchestration
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…
arXiv — cs.AI
Research1 мин
AutoTailor: Automatic, User-Aligned Capability Selection and Adaptation for Web Agents
Web agents can utilize reusable tools to reduce the cost and latency of low-level browser interaction, but automatically discovered tool collections can be large, redundant, and poorly aligned with user demand. We present AutoTailor, a meta-agentic framework for constructing and…
arXiv — cs.AI
Policy & regulation1 мин
Identity Is More Than Recall: A Benchmark for Persistent Identity in Deployed AI Agents
Persistent agents need evaluations that distinguish identity facts they can recall from those they express and enact. We introduce PAI-Bench, a provider-neutral benchmark for fidelity to a versioned, update-governed identity contract. It separates recall, composition, behavioral…
arXiv — cs.AI
Research1 мин
Planning or Learning: Reliability and Cost in Multi-Asset Maintenance
Industrial maintenance systems involve multiple interacting assets and shared resources, making it challenging to balance reliability and operational cost using a single decision framework. While recent work has focused on reinforcement learning (RL) for maintenance scheduling,…
arXiv — cs.AI
Research1 мин
FLoKD: Adaptive Knowledge Distillation for Federated Low-Rank LLM over Wireless Networks
Large language models (LLMs) have demonstrated strong capabilities across a wide range of natural language processing tasks. However, conventional fine-tuning typically relies on centralized data collection, bringing in privacy concerns. Federated learning (FL) enables…
arXiv — cs.AI
Research1 мин
$\tau$-Elicitation: Benchmarking multi-turn entity extraction in voice agents
Voice agents often need to collect names, addresses, identifiers, dates, and times exactly, yet end-to-end benchmarks obscure where capture fails. We introduce $τ$-Elicitation, a 200-task voice benchmark spanning 10 entity types, controlled difficulty, caller realisms, and three…
arXiv — cs.AI
Research1 мин
ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency. ZGCM-1 is founded on a core premise: compact models cannot passively memorize the open web, but can overcome parametric capacity…
arXiv — cs.AI