Research1 мин
Anthropic объединяет Chat и Cowork — переключаться между режимами Claude больше не придётся
Anthropic объединяет Chat и Cowork — переключаться между режимами Claude больше не придётся.
Telegram — GPT Time | Нейросети | ИИ
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All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
2214
Stories
Research1 мин
Claude теперь сможет сам работать с Salesforce — обновлять CRM, анализировать сделки и готовить отчёты
Claude теперь сможет сам работать с Salesforce — обновлять CRM, анализировать сделки и готовить отчёты.
Telegram — GPT Time | Нейросети | ИИ
Research1 мин
The specter of AI-enabled bioweapons is a wake-up call for biotech
In recent weeks, leaders of some of the biggest AI companies have warned that the very tech they are developing is dangerous. Last weekend, Anthropic CEO Dario Amodei argued that AI carries serious risk and that progress should be slowed. OpenAI CEO Sam Altman responded on X: “I…
MIT Technology Review
Research1 мин
OpenAI's model just JAILBROKE ITSELF...
So, OpenAI posted their framework for tracking, investigating, and disclosing instances of model misalignment at OpenAI. And we'll talk about that in just a little bit. But here's the thing. They've published six reports of instances where AI agents behaved, you know, in a…
YouTube — Wes Roth
Research1 мин
Anthropic launched Projects in Claude Code.
Anthropic запустила Projects в Claude Code..
Telegram — Вайб-кодинг
Research1 мин
Google DeepMind launches institute to widen the AGI debate
The new institute aims to surface differing views between Google, Google DeepMind, and the broader global research community around AGI. "They will not always agree, and they will likely change their minds, as more data and information comes to light at the fast-moving frontier."
TechCrunch — AI
Research1 мин
NEW Claude Fable 5.1 — How to Use Anthropic’s Most Powerful AI Model (Full Tutorial)
🚀 Learn the latest AI models and tools → https://aimaster.me/yt/fable5_1 🤝 Exclusive brand partnership — https://aimaster.me/collab Anthropic just shipped Claude Fable 5.1 — and I put it through real prompts instead of just reading the benchmark charts. In this video I break…
YouTube — AI Master
Research1 мин
The AI Superintelligence Slowdown
Remember when tech leaders would tell their employees to “move fast and break things”? It seemed that would be the way of AI too. But after a summer where rogue AI agents became reality, and researchers warned that AI could kill us all, a number of leading US AI companies are…
The Verge — AI
Research1 мин
The AI Slowdown Debate Crashed Salesforce’s Party
The Dreamforce conference became an unlikely battleground for the CEOs of OpenAI, Anthropic, and Nvidia to debate whether AI development should slow down.
Wired — Artificial Intelligence
Research1 мин
LLMs respond differently to harmful prompts when AI watermarking is used
In response to a new European Union law, AI platforms are implementing new schemes for watermarking the content they generate. Anthropic recently disclosed its future Claude models will use SynthID-Text, an approach Google created and released as open source. It uses a secret…
Ars Technica — AI
Research1 мин
Claude сможет подключаться к банковскому счёту и анализировать, куда уходят ваши деньги
Claude сможет подключаться к банковскому счёту и анализировать, куда уходят ваши деньги.
Telegram — GPT Time | Нейросети | ИИ
Research1 мин
Hundreds of songs by Russian performers were found in foreign datasets for training AI - copyright holders claim that...
🎵 Hundreds of songs by Russian performers were found in foreign datasets for training AI - the copyright holders claim that permission was not given. Analysts from the National Federation of the Music Industry studied two open databases - Laion-Disco-12M and Sleeping-D 9M, containing in total...
Telegram — GPT Time | Нейросети | ИИ
Research1 мин
OpenAI Показала Нечто ОПАСНЕЕ AGI. Больше Чем ASI. Новая Угроза Человечества! Запущен Новый Цикл ИИ!
Всем привет. В этом выпуске самые главные свежие новости об искусственном интеллекте и технологиях. И приближается к новому рубежу. Модели начинают помогать создавать более совершенные версии самих себя. И агенты теперь могут доносить на другие нейросети, если замечают…
YouTube — AI Flash News
Research1 мин
Совет на ближайшие годы — идите в Data Science и ML
Совет на ближайшие годы — идите в Data Science и ML.
GitHub Разработчика
Policy & regulation1 мин
Microsoft AI CEO says AI threats are real, and Anthropic is making it worse
Today, I’m talking with Mustafa Suleyman, the CEO of Microsoft AI. As you’re no doubt aware, the biggest story in tech right now is the spiraling debate about AI safety and regulation. It should come as no surprise that Mustafa has strong opinions on how AI should be built and…
The Verge — AI
Research1 мин
Anthropic’s IPO Makes No Sense
that Anthropic at the same time is saying, "Hey, we're building something that first we have no plan, current plan on how to control it, has the potential to destroy all of humanity, and by the way, in a few weeks we're going to IPO." Like, can you help me understand that logic?…
YouTube — Matthew Berman
Research1 мин
Они это сделали: Anthropic объединяет Claude Cowork, Claude Design и обычный чат в один Claude 🎉
Они это сделали: Anthropic объединяет Claude Cowork, Claude Design и обычный чат в один Claude 🎉.
Telegram — Вайб-кодинг
Telegram — Вайб-кодинг
Telegram — Вайб-кодинг
Research1 мин
Collaborative Memory for Multi-Agent VLM Systems
Vision-language model (VLM) agents combine specialized perception, tools, and reasoning to address complex visual tasks. In multi-agent settings, different agents inspect different image regions, video frames, or visual representations, so collaboration extends beyond…
arXiv — cs.AI
Research1 мин
GVD: Governed Versioning and Deduplication for Document Repositories
Document repositories evolve continuously. Guidelines and policies are revised, superseded, and re-uploaded, so the same content recurs in different wording and newer versions refine or contradict earlier ones. These inconsistencies belong to the growing collection rather than…
arXiv — cs.AI
Research1 мин
ERPBench: A State-Grounded Evaluation Paradigm for Computer-Use Agents in Enterprise Software
Computer-use agents that operate through screenshots and simulated actions are advancing rapidly, yet their evaluation remains anchored to general desktop and web tasks. Enterprise Resource Planning (ERP) systems run the finance, procurement, inventory, and customer operations…
arXiv — cs.AI
Research1 мин
Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records
AI-assisted claims can appear authoritative when evidence, analysis, human authorization, presentation, and correction history refer to different states. Provenance, attestation, and transparency expose history but alone do not specify the publication transition examined here.…
arXiv — cs.AI
Research1 мин
The Inference Engineering Pareto Atlas: Which Optimizations Dominate the Cost, Quality, and Latency Frontier?
LLM inference optimizations report speedups on different models, GPUs, prompts, and quality metrics, making them hard to compare or combine. We build a cost, quality, and latency Pareto atlas to identify the best configurations for different deployment constraints. Since…
arXiv — cs.AI
Research1 мин
What You Can't See Is Still What You Learn: A Preregistered Sixty-Society Confirmation That Evidence Masking Drives Compositional Generalization
Restricting what a module can read may improve what a system learns to compute. We test this in a preregistered confirmation with sixty four-cell systems sharing a frozen language-model backbone and communicating through learned continuous packets. Five conditions vary evidence…
arXiv — cs.AI
Research1 мин
SAGE: Governed Artifact Generation from Enterprise Guidelines
Enterprise guideline documents mix narrative text, complex tables, and embedded images, and converting them into structured work artifacts still takes two to three days of manual effort each. Current language and vision-language models extract from such documents but offer no…
arXiv — cs.AI
Research1 мин
Memory Has Geometry: Non-Uniform Geometric Memory for Long-Horizon Personalized AI
Long-term memory is becoming a core substrate for personalized AI, yet most systems still represent personalization as discrete records in a largely static latent space, accessed under one global similarity notion. For data mining, this creates a mismatch: the evidence is a…
arXiv — cs.AI
Research1 мин
Imitation Learning for Autonomous Driving in CARLA
Behavioral cloning trains a policy offline on expert demonstrations, but deployment is closed loop: each action affects the observations the policy receives next. We study how much closed-loop driving competence a compact multimodal policy can acquire from offline demonstrations…
arXiv — cs.AI
Research1 мин
GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents
A large language model (LLM) agent can follow more graph paths without acquiring more independent evidence. GraphEcho tests whether agents mistake these repeated encounters for additional corroboration. The benchmark varies path counts and evidential origins while holding…
arXiv — cs.AI
Research1 мин
A Four-Stage Decomposition of Word-Problem Solving and Mechanistic Fragility in LLM Math Reasoning
Large language models solve grade-school math word problems with high accuracy, yet a single irrelevant clause inserted into the problem can collapse it. We reconcile these observations with a mechanistic account. We show that the model's internal computation decomposes into a…
arXiv — cs.AI