Безопасность внедрения ИИ в бизнесе: риски интеграции LLM с CRM
vc.ruAnalysis of security risks when integrating LLMs with CRM systems without proper risk assessment, highlighting common pitfalls in AI deployment.
Kasm Technologies Expands Intel Partnership to Deliver Private AI Through Kasm...
pr.cullmantimes.comKasm Technologies expanded its Intel partnership to deliver private AI with local large language model inference on OpenVINO and Advanced Matrix technology.
AI Agents Use 5 Times More LLM Tokens Than Humans, a16z Data Shows
eweek.coma16z data reveals AI agents consume roughly five times more LLM tokens than humans, highlighting how autonomous workloads are driving significantly higher token usage patterns in enterprise deployments.
Can Apple's New Mac Ultra Replace Your $200/Month AI Coding Bill?
tech.yahoo.comAnalysis of Apple's new Mac Studio capability to run large local LLMs and whether it can replace expensive monthly AI coding subscription services.
SKKU Research Team Develops LLM-Based Platform for Generating New Materials...
newswise.comSKKU research team developed an LLM-based platform that dramatically cuts experimental trial and error, creating a new paradigm for materials synthesis recipe generation.
Microsoft puts Saudi Arabic language AI model on global platform
msn.comMicrosoft is bringing a Saudi-developed Arabic language AI model into its global software ecosystem, giving companies and government bodies access to locally developed technology.
AI and Lenders: Who’s Liable if LLMs Err?
gfmag.comExplores liability questions for private credit firms deploying AI in underwriting, specifically regarding LLM errors and regulatory/legal implications.
병원마다 다른 흉부 X선 판독문…검색 정확도 높인 LLM 모델 개발
msn.comA new LLM-based AI model was developed to find similar chest X-ray readings across hospitals with different terminology, improving search accuracy for medical imaging interpretation.
Ray Summit 2026: RL post-training forces open-source AI infrastructure to converge
msn.comRay Summit 2026 opens with vLLM Conference focusing on RL post-training and open-source AI infrastructure convergence.
Study reveals widespread use of problematic epistemologies in LLMs and Agentic AI
vermontbiz.comStudy reveals widespread use of problematic epistemologies in LLMs and Agentic AI, focusing on AI safety and alignment issues.
Nvidia's $6 Billion Deal for Poolside's Model Factory Is a Wager on Open-Source...
finance.yahoo.comMotley Fool via Yahoo Finance reporting on Nvidia's licensing deal for Poolside's open-source coding models, representing a strategic bet on democratizing AI model access.
LLM — ненадёжная зависимость: как проектировать AI-сервисы так, будто модель обязательно упадёт
vc.ruRussian article discussing how to design AI services that handle LLM failures gracefully, treating large language models as unreliable dependencies.
TR Launches Thomson 1.0 – Its Own LLM
artificiallawyer.comTR has launched Thomson 1.0, its own large language model trained on its own data showing strong performance capabilities for legal AI applications.
New Study Reveals Widespread Use of Problematic Epistemologies Knowledge Production Functions in LLMs and Agentic AI
pr.valdostadailytimes.comNew study reveals widespread use of problematic epistemologies (knowledge production functions) in Large Language Models and Agentic AI systems.
SCX.ai Strategic Partnership With Global AI Leader DDN to Power Australia's Largest Sovereign AI Inferencing Cloud
wowktv.comSCX.ai partners with DDN to build Australia's largest sovereign AI inferencing cloud infrastructure for large language model deployments.
AI data center spending drives growth in semiconductor market
finance.yahoo.comDiscusses how AI infrastructure costs are shaping the chip and data center industry, with companies seeking more efficient large language model deployments.
Travelers builds its own LLM, cutting AI costs
ciodive.comInsurance company Travelers built its own LLM (TravelersLLM) to handle insurance-specific queries, while using broader reasoning and coding capabilities for other tasks.
Wellt CEO Says Patient Data and Clinical Smart is the Answer Amid Global LLM Offensive
msn.comWellt CEO discusses developing intelligent healthcare AI models using patient data and clinical smart, positioning against global big tech LLM attacks with domain-specific approaches.
AI feature labels from geometry, not text: Tsinghua posts SAEVerbalizer preprint
msn.comTsinghua University researchers post SAEVerbalizer preprint demonstrating AI interpretability breakthrough by using geometry-based feature labeling instead of text for sparse autoencoder interpretation.
I connected my local LLM to Google Calendar, and it schedules my day better than I ever could
msn.comA user demonstrates how connecting a local LLM to Google Calendar enables better automated scheduling than manual planning.