Search “Search”

Recursive releases its first model Flint: local coding MoE, 125+ tokens/s on a MacBook

Recursive releases its first model Flint, a MoE with 40 billion total parameters and 2.5 billion activated parameters per token, aimed at local Agent coding, with weights open-sourced under Apache 2.0. With short context, it exceeds 125 tokens per second on an M4 Pro MacBook Pro and over 150 on a 64GB RTX Spark, and supports llama.cpp, Ollama, LM Studio, vLLM, SGLang, and Unsloth. Nearly every stage of its R&D involved the automated research system Eureka Machine, including architecture search, quantizing the output layer to 4 bit with offline distillation, and fusing Metal kernels for M4/M5.

Librarian Agents paper: letting agents organize long contexts themselves to improve retrieval performance

Chelsea Finn retweeted a new paper, Librarian Agents, by Anikait Singh and others, which studies whether agents can adapt to large amounts of unstructured context in specialized domains by organizing their own long-context workspaces and anticipating queries. She notes that agentic search can scale to information of any size but tends to miss relevant content, while optimizing information organization for downstream use can also bring 30+% improvements in OOD domains. The tweet includes links to the paper and code.

Microsoft Research proves the 31-year-old unsolved KLS conjecture

Microsoft Research researcher Xinzhi Zhang and co-authors proved the KLS conjecture proposed in 1995, giving a dimension-independent fixed bound; the previous best result only allowed the bound to grow slowly with dimension. The proof came from a human-guided agent search process, in which the team explored more than 100 candidate paths, with researchers evaluating, pruning, and redirecting them; an independent team also gave a complete proof at the same time, followed by Lean 4 formal verification. The authors say earlier unguided end-to-end attempts with multiple frontier models failed to achieve the goal.

Deploying the RFD4-Proteina model on Databricks

NVIDIA and Databricks plan to integrate NVIDIA BioNeMo's open-source protein design model RFD4-Proteina into Databricks' Genesis Workbench, running on the now generally available AI Runtime serverless NVIDIA GPU compute. The model can simultaneously generate protein sequences and all-atom structures, and supports optional reward-guided search to steer candidate designs toward target properties such as thermostability and binding affinity. Genesis Workbench includes two built-in RFD4-Proteina workflows, Antibody Design and Vaccine Design, and can be extended through Genie Code and NVIDIA BioNeMo Agent Toolkit skills.

English translation is being prepared.

Nvidia adds Agent Knowledge Foundation to Agent Toolkit

At GTC Berlin, Nvidia added Agent Knowledge Foundation to Agent Toolkit, packaging the Nemotron Retriever models, the new Auto-Ontology library, the Kumo family of models for structured data, and CUDA-X data processing libraries; data remains in place and is managed under enterprises' existing permissions. Nvidia says Nemotron Retriever improved search relevance by 65% in tests in the open-source OpenSearch environment, SAP's fine-tuned reranker runs nearly three times faster, and ServiceNow's reranking delivers better quality with latency reduced by nearly 25%. Auto-Ontology provides a REST API and an MCP server for agents to query, and Nvidia says it does not compete with data platforms such as Snowflake but rather partners with them.

Franchise Recruitment GEO: An Analysis of the New Customer Acquisition Logic for Franchise Brands in the AI Era

Franchise recruitment marketing is shifting from search bidding and feed ads to GEO (Generative Engine Optimization), with the goal of ensuring that brand facts are accurately mentioned and reasonably recommended in generative Q&A systems such as DeepSeek, Doubao, Tongyi Qianwen, ERNIE Bot, Kimi, and ChatGPT. The article compares the business logic of three models—search advertising, feed advertising, and GEO—and points out that GEO competes on the quality of facts and the credibility of information sources, not on advertising budgets. To judge whether a GEO service provider is reliable, it is recommended to prepare 20 to 50 real franchise recruitment questions and require an on-site demonstration of multi-model queries, brand mentions, cited sources, and erroneous information identification.

English translation is being prepared.

YGO Raises €8M Series A to Expand AI Travel Infrastructure

YGO has completed an €8 million Series A funding round led by Ventech, with participation from Sake Bosch, Caesar Capital, and angel investors. Its AI infrastructure connects travel companies' existing systems with AI agents, enabling flight, hotel, and activity inventory to be searched, recommended, and booked directly by AI. YGO already processes bookings for European travel companies such as Condor, Bentour, and GetAway Group, and says one airline customer reduced manual operations by 90% and increased conversion rates by 20%.

English translation is being prepared.

Android Auto rolls out Gemini Personal Intelligence, but it is not yet available in the EU and other regions

Google has launched Gemini Personal Intelligence for Android Auto, which can draw on data from Gmail, Google Calendar, Google Photos, Google Maps, YouTube and Search, for example to look up a flight's boarding gate or set navigation to a location shown in a photo. The feature is rolling out in all regions except the EU, Switzerland, the UK and Nigeria, and it is not yet clear when users in Germany will be able to use it. Personal Intelligence is off by default and requires authorization in the Gemini app before it can access these Google services.

ChatGPT launches Locked Chats feature

ChatGPT introduces Locked Chats, which moves conversations out of regular history and search and into a protected space. On web and desktop, they are unlocked with a PIN; on supported mobile devices, a PIN, Face ID, Touch ID, or device unlock can be used. New messages in locked conversations do not update the memory used by regular conversations. The feature is rolling out starting today to the Free, Go, Plus, Pro, Business, Enterprise, and Edu plans.

English translation is being prepared.

English translation is being prepared.

English translation is being prepared.

English translation is being prepared.

OpenAI launches chat lock feature for ChatGPT, protecting sensitive conversations via PIN code and biometrics

OpenAI has launched a chat lock feature for ChatGPT. Users can set a four-digit PIN code, and on supported devices can also use Face ID or Touch ID to protect sensitive conversations. Locked conversations are moved to a separate section, isolated from regular chat history, pinned conversations, and search results, and have a separate memory space when the memory feature is enabled. The feature is rolling out gradually to Free, Go, Plus, Pro, Business, Enterprise, and Edu users, but it does not enable end-to-end encryption and does not change data retention periods.

AWS Publishes Agent Registry Runtime Tool Discovery Practice

AWS introduces the Agent Registry runtime tool discovery approach: agents use hybrid semantic and keyword search to find approved MCP servers and A2A agents, then instantly build clients from descriptors to execute requests. The sample code is based on Amazon Bedrock AgentCore Gateway and runtime, integrates an order management MCP server and two A2A agents for pricing and customer service, and demonstrates a return and refund scenario using pure semantic matching. The registry returns only connection metadata; invocation credentials must be obtained separately through Cognito OAuth or IAM, and new capabilities require no changes to orchestrator code.

English translation is being prepared.

Cloudflare OS Launches Managed Service, Adds GitHub and Gmail Connections

Cloudflare has announced a managed service for its AI business platform Cloudflare OS, with waitlist registration now open. Cloudflare OS was open-sourced in August this year and can be deployed in Cloudflare environments, on-premises, or in the cloud. It supports integration with Cloudflare Workers AI as well as AI services from Anthropic, OpenAI, Google, and others, and has the ability to securely access enterprise internal data. Two features were added this time: first, connecting to GitHub repositories, allowing AI agents to add features, debug, view PRs, create commits, and push code based on repository code; second, strengthening the Google Workspace integration, so agents can read and search Gmail conversations, draft and send emails, and connect to Google Drive, Docs, and Sheets.