Cainew

Kimi K3, a new AI assistant, has been launched and is now available to users. The release marks an update to the Kimi product line with enhanced capabilities.

Grok Build, an AI development tool, has been released as open source software. This decision enables the broader developer community to access and contribute to the project.

Automate smarter with Albato: chat with Albato Copilot to build automations and let AI Agents execute tasks from natural language requests. Plus, visualize workflows with Canvas mode, test individual steps with real data, and share automations easily.

Codex Micro is a compact keyboard built with Work Louder to control your Codex agents. It features physical keys for common skills, a dial to adjust reasoning levels, and live RGB status lights so you can track agent progress without switching windows.

River enables B2B companies to sell with VoiceAI. When a lead enquires, our AI account executive joins a live call instantly, runs the product demo, handles objections, and closes - so no lead ever waits for a rep's calendar. Backed by founders of Ramp, Kalshi, and Lean.

Nitrosend is full-stack email built for AI agents. Point any agent at nitrosend.com/SKILL.md and it signs itself up, onboards, connects your domain and sends. Live today: marketing and transactional email, real inboxes for agents on your own domain (beta, by request), and 1-1 customer replies with human escalation. Coming soon: personalised outreach run by your agent. In development: goal-based agentic marketing. Humans approve. Agents operate.

NotebookLM has been rebranded and integrated into Google's Gemini suite as Gemini Notebook. This change consolidates Google's AI products under the Gemini brand for improved user experience.

You've explained your company to ChatGPT. Then to Claude. Then to Copilot. Every time you open a new chat, you start from scratch. Paste the notes. Upload the document. Copy in the email thread. Summarize what your team decided two weeks ago — to a tool that could've just known it all along. In Parallel's MCP server ends that. Connect it once, and whichever AI you open already knows your meetings, decisions, and context. Just ask the question. Less prose. More truth.

Most agent tools assume clean APIs. Graft starts where companies actually work: legacy apps, internal tools, and workflows trapped behind screens. It learns how the work gets done, turns it into a living operational map, and gives agents stable tools with permissions, approvals, audit trails, and verification built in. When the underlying UI changes, Graft detects the drift and repairs the workflow without breaking the agent interface.

Talk through an idea and watch it become a live map that reshapes as you change your mind and asks the questions you haven't thought to ask. Capture meetings, replay how a thought unfolded, share a link, export anywhere. Free to start, no card.

Cito is a hybrid search engine over the Semantic Scholar corpus: 236M papers in the keyword index, 146M with SPECTER2 dense vectors, fused with RRF and reranked by a cross-encoder. Free web search with no signup, a plain JSON API, and a native MCP endpoint so agents like Claude Code can run deep literature research without upstream rate limits. Built because every academic API throttled my agents to death.

Verse allows anyone to build and hire autonomous AI employees from a single prompt. Every employee comes with its own computer, email inbox, phone number, browser, wallet, crypto wallet, Slack account, identity, memory, and persistent intelligence, allowing it to work independently on your behalf 24/7. Chat with them, call them, assign them tasks, or place them in shared Spaces where teams of AI employees collaborate, delegate work, and solve complex problems together.

An exploration of networking AI capabilities with MikroTik infrastructure examines how LLMs can be integrated with network management systems. The discussion covers practical applications and technical considerations for this integration.

A comprehensive guide explores the current landscape of data tools available to developers, helping them navigate options for data processing, analysis, and management. The guide aids developers in selecting appropriate tools for their specific needs.

Gemini Omni and personal avatars in Google Vids make video creation easier than ever.

A study investigates whether large language models can deeply understand and analyze complex computer architecture research papers. The research evaluates the technical comprehension capabilities of current LLMs in specialized domains.

Researchers demonstrate that classical machine learning methods can effectively detect texts generated by large language models without requiring advanced deep learning techniques. This approach offers a practical alternative for identifying AI-generated content with minimal computational overhead.

As Large Language Models (LLMs) evolve into autonomous agents, the need for unified evaluation infrastructure becomes critical. However, current evaluation pipelines remain highly fragmented and tightly coupled, hindering reproducibility and causing redundant engineering. To address this, we introduce AgentCompass, an open-source, lightweight, and extensible infrastructure for evaluating LLM-based agents. AgentCompass organizes the evaluation process around three independent components, namely B...

World Action Models (WAMs) improve robot policy learning by jointly modeling actions and future visual observations, using future scene evolution as dense supervision for physically grounded action generation. However, a common design in existing WAMs is to explicitly generate future videos at inference time, incurring substantial computational overhead and hindering real-time closed-loop deployment. GigaWorld-Policy addresses this issue with an action-centered formulation, where future visual d...

While recent advances in 3D generation have enabled impressive visual synthesis, existing methods often rely on 2D diffusion supervision without explicit mechanisms for geometric consistency, leading to spatial hallucinations such as duplicated structures and misaligned geometry. These issues become more severe in 4D generation, where maintaining consistency across viewpoints and temporal evolution introduces additional challenges, including jitter, identity flicker, and structural drift. We pre...

We introduce OvisOCR2, a 0.8B document parsing model. OvisOCR2 is designed as an end-to-end parser: given a document page image, it generates a Markdown representation in natural reading order, covering text, formulas, tables, and visual regions. We build a data engine that combines filtered real-document annotations with synthetic pages whose rendered images and Markdown targets are derived from the same HTML source. The training recipe includes supervised fine-tuning, reinforcement learning on...

OpenClaw has emerged as a leading agent framework for complex task automation, yet it faces insufficient cross-platform GUI interaction support and a well-built self-evolution mechanism. These flaws limit its adaptation to diverse device ecosystems and prevent performance improvements through continuous learning from execution experience. To resolve these issues, we propose the Know Deeply, Act Perfectly paradigm for personal assistants, which holds that accumulated user interaction and task-run...

Discrete denoising diffusion models (DDMs) have recently emerged as a compelling alternative to autoregressive (AR) modeling for discrete data, offering parallel generation and iterative global refinement capabilities. Unlike continuous diffusion, where the state space is fixed, DDMs are fundamentally shaped by how the discrete state space is constructed: the tokenization scheme, the vocabulary topology, and domain-specific structural alphabets. This work introduces a unified conceptual framewor...

Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.

A report recommends that governments, companies, and nonprofits should invest in and support free, open source AI systems as a strategic priority. The document advocates for democratized AI development rather than concentration in private hands.

Over 105 former Y Combinator founders have contributed their expertise to AI leaders OpenAI and Anthropic, highlighting the significant overlap between the startup ecosystem and cutting-edge AI development. This demonstrates how YC's network continues to shape the trajectory of major AI companies.

A technical achievement demonstrates how to manage and coordinate 768 servers to function as a unified system. This approach enables efficient resource pooling and simplified operations at massive scale.

Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company.

A critical analysis argues that generative AI development has become an engineering disaster due to sustainability, safety, and scalability concerns. The piece challenges the current approaches being taken in the field.