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November 12Thursday
  1. Google Blog · AI55

    Google Labs launches Tabletop, a real-time collaborative space for group planning

    Google Labs introduced Tabletop, a new experiment for real-time group collaboration where users add links, files and ideas, then prompt @tabletop or pick a starter template to generate interactive trip itineraries, dinner polls, expense splitters and tournament brackets. Once a space is ready, an invite link lets everyone join and use it simultaneously, like in a Google Doc. Tabletop is rolling out in the U.S. (18+) via a waitlist at labs.google/tabletop.

  2. Mastra Blog40

    Mastra Agents Private Model Gateways for Self-Hosted Models

    Mastra added private model gateways that let agents route requests to self-hosted open-weight models, referenced by a prefix like private/ollama/gpt-oss:20b. Self-hosting keeps sensitive data inside the network and replaces per-token costs with infrastructure costs, and setting AUTO_BLOCK_EXTERNAL_PROVIDERS=true hides external providers in Studio. The feature requires @mastra/core@1.82.0 or later.

  3. Claude Blog40

    Anthropic's Claude Tag guide for startups: top Slack channels and use cases

    Anthropic published a Claude Tag (beta) guide for startups, based on conversations with eight high-growth companies about where they deploy the Slack-based agent first. The guide covers five common setups — on-call triage, thread-to-PR, company brain, self-serve data, and reporting — plus a getting-started checklist. Cited results include a PR opened 21 minutes after a Slack mention and 134 pull requests merged from Slack threads at NavigateAI.

  4. Claude Blog78

    Anthropic launches Claude Meetings in beta for Google Meet on Team and Enterprise plans

    Anthropic released Claude Meetings in beta, letting Claude join Google Meet calls as a visible participant that answers questions in chat, builds docs and whiteboards live, and writes notes and action items. Each meeting gets a page in claude.ai with the transcript, notes and artifacts, and by default Claude stays out of calls with external guests unless an admin allows it. The beta is rolling out on Team and Enterprise plans, is unavailable to some organizations including ZDR, HIPAA-ready and CMEK setups, and notes, transcripts and in-call answers are free during the beta.

    Why it matters: Anthropic's beta launch shows how a meeting agent can draft docs, pull connected-tool data and write notes inside a live call, with default rules for excluding external guests.

  5. Claude Blog78

    Anthropic makes Claude Opus 5.5 the default model on Pro, Max, Ultra and Team plans

    Claude Opus 5.5 is now the default model in Claude on Pro, Max, Ultra and Team plans, and Anthropic recommends it as the daily driver for research, analysis and finished documents, decks and spreadsheets. Anthropic says Opus 5.5 at Medium effort matched or beat Opus 5 at High on its coding and knowledge-work evaluations, and in an internal merger-analysis test it finished in 63 minutes at half the cost of Opus 5 on the same task. The post also lists prompting changes for the new model, including dropping 'think hard' instructions, starting at Medium effort and attaching charts instead of retyping their values.

    Why it matters: Anthropic's own guide explains why Opus 5.5 is now the default for daily knowledge work and which prompting habits to drop for it.

  6. Claude Blog56

    Anthropic opens private beta of self-hosted Claude Managed Agents

    Anthropic released self-hosted Claude Managed Agents in private beta, letting developers run the full agent service, including harness, sandboxes, credentials and session history, in their own cloud or on-premise environment. Model requests can go to Anthropic directly, to Amazon Bedrock, Google's Agent Platform or Microsoft Foundry, or through the customer's own gateway, and session history stays in the customer's database. The company says the design keeps the agent loop and vault secrets outside the sandbox, supports allowlists of permitted hosts, and exports a full record of each session over OpenTelemetry.

  7. Recraft Blog42

    MiniMax H3 Image, Highspeed, and Lite arrive in Recraft Studio

    MiniMax's H3 family expanded beyond video this week, with H3 Image, H3 Image Highspeed, H3 Highspeed, and H3 Lite now available in Recraft Studio. The two image models generate and edit at 2K or 4K, while the two video models produce 4–15 second clips at 480p or 768p with sound. H3 Image starts at 6 credits per image and H3 Lite at 4 credits per second of video.

  8. Figma Blog42

    How 3D transforms and Figma's agent brought a launch video to life

    Figma has released 3D transforms in open beta, letting designers tilt, rotate, and arrange text, images, vectors, and frames in space, with a perspective effect on parent frames for shared spatial compositions. The non-destructive effects stay editable and can be combined with shaders, animated with Figma Motion, or explored via the Figma agent. Figma's Brand Studio used the tools, including an agent-built generative plugin, to produce the feature's launch video.

  9. Claude Blog58

    Anthropic launches Claude for Manufacturing with 17 skills and Autodesk, Infor, Microsoft 365 and NetSuite connectors

    Anthropic launched Claude for Manufacturing, a plugin with 17 skills covering sales, quality, operations, supply chain, design and setup, from drafting job quotes to diagnosing a stopped machine. The plugin pulls from a manufacturer's own records through connectors to Autodesk Fusion, Infor, Microsoft 365 and Oracle NetSuite, and each skill ends at a human review step before output reaches a customer or supplier. Anthropic cites a 2025 Manufacturing Leadership Council survey in which 79% of manufacturers said they enter data manually, and says it plans to add more manufacturing skills over time.

  10. Claude Blog31

    J.Crew launches Style Advisor AI stylist built with Claude Code

    J.Crew launched Style Advisor, an AI stylist on JCrew.com that recommends complete outfits rather than single products, available now for women's and men's styles in the U.S. J.Crew's team built it with Claude Code using multiple Claude models: Claude Fable 5.1 to plan the stylist reasoning, Claude Opus 5.5 for the prototype, Claude Sonnet 5.5 as the stylist in each conversation, and Claude Haiku 5.5 for quick tasks. Every recommendation is drawn from looks created by J.Crew's own stylists for catalog shoots.

November 11Wednesday
  1. Google DeepMind72

    DeepMind releases AlphaGenome 2, a DNA model predicting variant effects in specific cell types

    Google DeepMind announced AlphaGenome 2, a next-generation DNA sequence model that predicts how DNA sequences and their variants affect specific human cell types. Trained on more than 107 million individual cell profiles across 68 tissues, the conditional model identified nearly twice as many expression-changing variants as the previous model, and on the TenK10K immune cell dataset it recovered 30% of causal variants versus 16% for the original AlphaGenome fine-tuned on single-cell data. It is available for non-commercial research via the AlphaGenome API and in private preview for commercial research.

    Why it matters: AlphaGenome 2 shifts from bulk-tissue averages to single-cell conditioning, roughly doubling causal variant recall on immune cell data, which matters for linking GWAS signals to specific cell types.

  2. ElevenLabs Blog25

    ElevenLabs Launches Partner Program to Speed Up Enterprise AI Agent Adoption

    ElevenLabs launched its Partner Program with enhanced commercial incentives, new certifications, joint go-to-market opportunities and dedicated technical support. The program covers 550+ active partners in 44 countries, and the partner ecosystem has generated $315 million in pipeline and over $52 million in partner-sourced and partner-influenced revenue this year. ElevenLabs aims for partners to earn $3 in services revenue for every $1 it generates, backed by forward-deployed engineers and a new certified partner directory.

  3. ElevenLabs Blog58

    ElevenLabs Summit NYC: Interaction Engine, ElevenAgents Memory and Routines, ElevenAI app, Partner Program and Marketplace

    At its New York Summit, ElevenLabs announced new models, agents and deployment options for its AI interaction layer, including the Interaction Engine that manages turn-taking and routes each part of a conversation to a cheaper or frontier LLM. ElevenAgents gains Memory, which builds a structured record of returning customers, and Routines, an automation layer for multi-step work before, during and after calls. ElevenLabs also previewed the ElevenAI workplace app with free early access opening today, launched a Partner Program now at more than 550 partners in 44 countries plus a McKinsey alliance, and introduced the ElevenLabs Marketplace; NVIDIA's Nemotron 3.5 Super VL is now available in ElevenAgents alongside 15 MW of new Vera Rubin compute capacity.

  4. ElevenLabs Blog18

    Voice cloning for content creators: scaling content workflows with voice AI

    ElevenLabs outlines how voice cloning lets content creators record a short sample once and then generate narration for videos, podcasts, courses, and social clips without returning to the booth. The guide distinguishes Instant Voice Cloning, which produces a clone from a short sample in under a minute, from Professional Voice Cloning, which trains on a larger recording set and includes a verification step confirming the voice belongs to the creator. It also lists selection criteria including voice fidelity, delivery control, language coverage, consent safeguards, export options, and commercial licensing.

  5. ElevenLabs Blog40

    ElevenLabs Launches Marketplace for Enterprise-Ready AI Applications

    ElevenLabs launched the ElevenLabs Marketplace, a curated collection of industry-specific AI and voice applications built on its models by technology partners, with launch partners including Salesforce, IBM, NiCE, Twilio, and Zendesk. Enterprises can explore solutions across financial services, insurance, healthcare, telecommunications, retail, and government, and connect directly with the partners behind them. Starting next year, eligible partner solutions will be purchasable through existing ElevenLabs commitments.

  6. Modal Blog58

    Modal joins gVisor maintainers as Google donates the project to CNCF

    Modal is one of three companies, alongside Ant Group and Tines, joining gVisor's maintainers as Google donates the project and its trademarks to CNCF under a maintainer-led governance model. Modal says it launches upwards of 40 million gVisor containers a day and has contributed upstream since 2023, including nvproxy GPU support, an RDMA device proxy called rdmaproxy, and tmpfs and memory-allocator optimizations. The company says it is working on multi-GPU memory snapshots and GPUDirect Storage support for gVisor.

  7. ElevenLabs Blog58

    ElevenLabs and NVIDIA expand partnership to bring voice agents to enterprises and governments

    ElevenLabs and NVIDIA have expanded their collaboration across models, infrastructure and sovereign deployments, bringing NVIDIA Nemotron 3.5 Super VL into the ElevenAgents platform. ElevenLabs plans to add 15MW of NVIDIA Vera Rubin capacity on top of its existing Blackwell Ultra systems, and is powering a voice agent for Poland's Centralna e-Rejestracja appointment system on-premises using NVIDIA Confidential Computing. On the ElevenAgents customer-support benchmark, Nemotron 3.5 Super VL reached leading end-to-end task-completion accuracy at 70% lower cost than other leading open models, according to ElevenLabs.

  8. ElevenLabs Blog25

    McKinsey and ElevenLabs Form Alliance to Scale Conversational AI in the Enterprise

    McKinsey and ElevenLabs announced an alliance to help organizations prove the value of conversational AI through initial use cases before scaling across the enterprise. The partnership combines McKinsey's industry and transformation expertise, including QuantumBlack's AI engineering, with ElevenLabs' frontier conversational AI technology and ElevenAgents platform. Dutch telecom KPN is already using the new AI-powered solutions, and the alliance plans to extend the approach to service-intensive industries such as insurance.

  9. ElevenLabs Blog22

    How Enterprise Clients Are Putting ElevenLabs AI to Work

    ElevenLabs says enterprises now account for more than 55% of its revenue, with its technology in daily operations at five of the 10 largest tech companies, five of the 10 largest insurers and four of the 10 largest telecoms. At its NYC Summit, clients including Ramp, Customers Bank, Banco Inter, Clover Health and FOX Sports described using ElevenAgents and ElevenCreative for support agents, onboarding, multilingual service and an AI persona of commentator Colin Cowherd in the FOX Sports App.

  10. Google Blog · AI18

    Google Arts & Culture Launches Online Retrospective of Dr. Esther Mahlangu

    Google Arts & Culture has published the first online retrospective of South African artist Dr. Esther Mahlangu, timed to her 91st birthday, with more than 45 curated stories and a rich archive of her art, life and legacy. Because archives held nothing from before 1980, the team used AI to visually recreate her undocumented memories, generating still images and then using Veo to turn them into videos. The exhibition was curated with institutions including the British Museum, Iziko Museums of South Africa and Serpentine.

  12. Hugging Face Blog42

    Tether AI Research Releases BotPsy: A 0.8B On-Device Agentic Model Built on Qwen3.5-0.8B

    Tether AI Research released BotPsy, a 0.8B-parameter agentic model built on Qwen3.5-0.8B for on-device personal-assistant tool use. It roughly doubles its base model's agentic scores, with BFCL v4 rising from 23.4 to 44.0 and τ-bench from 23.2 to 51.5, and beats every model up to 1.2B parameters tested across six tool-use benchmarks. It also cuts unsafe responses to 21% from 36% and uses about 3× fewer reasoning tokens on GPQA Diamond.

  13. inclusionAI Models34

    inclusionAI Releases LemonDecider 4B v3 Decision Model Based on Qwen3.5-4B

    inclusionAI released LemonDecider 4B v3, a decision model fine-tuned from Qwen3.5-4B that returns choice, yes/no or ordinal probabilities via a single joint forward pass instead of generating answer tokens. It was trained on about 1.20M decision/QA rows and scored 61.67 on the public Decision Index 0.4 suite, with median request latency of 49.9 ms.

  14. NVIDIA Blog22

    How AI Helps Recyclers Turn Mixed Waste Into Reusable Material

    NVIDIA highlights four Inception startups using AI and robotics to sort mixed waste at recycling plants. AIRECO's Jetson Orin NX pilot line tops 95% recognition accuracy and targets raising annual capacity from 18,000 to 48,000 tons while cutting operating costs by 85%, and EverestLabs has deployed about 150 vision-guided robots across North America and Australia.

  15. Vapi Blog58

    Vapi launches Agent Loop in early access, a self-improving harness for voice agents

    Vapi launched Agent Loop in early access, with GA planned for early next year, as a self-improving harness that builds a voice agent from a plain prompt, scores every call against a business goal, drafts fixes for the misses, tests them in simulations and ships them to a slice of live traffic before full rollout. The loop runs on Vapi primitives including Simulations and Traffic Splitting, available in the dashboard now, plus Goals, Call Health and Experiments, coming soon. Every Agent Loop agent is a real Vapi assistant, so engineers keep full dashboard and API access, and human approval is required before any change ships.

  16. vLLM Blog58

    vLLM adds encoder disaggregation for multimodal serving with EPD

    vLLM has expanded Encoder/Prefill/Decode (EPD) disaggregation for multimodal serving, adding metadata-only requests, a dedicated encoder execution path, remote embedding transfer via NIXL and Mooncake, cross-encoder output reuse, and orchestration through vLLM Router, SMG, and llm-d. Core capabilities including MiMo and XPU support ship in vLLM v0.32.0, while metadata-only support for DeepSeek V4.1 Flash is available on main via #62802. In a DeepSeek V4.1 Flash test on GB200, EPD delivered 6.6–9.5% higher per-GPU throughput and 44–47% lower P90 TTFT than an eight-GPU PD baseline at concurrency 64–128, but had lower per-GPU throughput at concurrency 16.

  17. OpenRouter Announcements65

    OpenRouter measures the context cost of MCP, CLI and skills on one GitHub task

    OpenRouter measured the same GitHub task across the GitHub MCP server, the gh CLI and a gh skill on Claude Sonnet 5.5, GPT-6 Luna and Gemini 3.8 Flash. On Sonnet 5.5 all three answered correctly, but the CLI used 1,421 input tokens, the skill 3,315 and the MCP server 59,417 with its 46 default tools, whose definitions alone add 19,436 tokens per request. Scoping the server to two tools cut the task to 23,228 tokens, capping results at 4,000 characters brought it to 5,357, and Tool Search cut the up-front cost of 46 tools to under 600 tokens, though it halved the whole-task cost on Sonnet 5.5 while raising it on Claude Haiku 5.5.

    Why it matters: OpenRouter's measured comparison shows how much context an MCP server, a CLI and a skill each consume on the same GitHub task, and where trimming tool results or deferring definitions changes the bill.

  18. Hugging Face Blog41

    Pooling-Aware Training for Multi-Vector Embedding Models with Sentence Transformers

    Hugging Face shows how pooling-aware training lifts retrieval quality for multi-vector embedding models at a fixed storage budget. With pool_factor=4, a normally trained model keeps 94.6% of its unpooled NanoBEIR nDCG@10 while cutting document vectors 4x, and pooling-aware training raises that retention to 97.8%. The post walks through HierarchicalTokenPooling, budget calibration and a reproducible Sentence Transformers example.

  19. OpenRouter Announcements58

    OpenRouter guide: fixing OpenAI and Claude 429 rate limit errors

    OpenRouter published a guide on handling 429 Too Many Requests errors from OpenAI, Anthropic and its own API, testing three fixes on a 60-prompt batch. The OpenAI Python SDK's default retries left 23 of 60 requests failed in 12 seconds, while a retry that waits for Retry-After or X-RateLimit-Reset completed all 60 in 89 to 92 seconds in Python and 106 to 218 seconds in TypeScript. A models fallback finished all 60 in 13 seconds for $0.000066, and with provider failover on, all 150 pinned-provider requests succeeded where up to 32 failed with fallbacks off.

  20. OpenRouter Announcements60

    OpenRouter tests what fp8 and fp4 quantization do to LLM quality and price

    OpenRouter ran 280 exact-answer tasks against six endpoints of Qwen3.8 27B on October 20, 2026 and did not detect an accuracy difference between fp16, fp8 and fp4, with all six scoring between 98.3% and 99.2%. Across 1,455 endpoints, 59.5% report no precision at all and fp8 is the most common labeled format at 23.6%. Lower precision was cheaper for most models but not all, and provider choice moved price more than precision did, with the priciest same-precision endpoint a median 1.72 times the cheapest.

    Why it matters: OpenRouter measured fp8, fp4 and fp16 endpoints of one model across 240 exact-answer tasks and found no detectable accuracy gap, while price differences tracked the provider more than the precision.

  22. inclusionAI Models40

    inclusionAI Releases ZoomGain-9B and ZoomGain-4B Models with ZoomGainBench and RL Training Data

    inclusionAI released the ZoomGain-9B and ZoomGain-4B vision-language model checkpoints, alongside the ZoomGainBench evaluation benchmark and ZoomGain RL training data. ZoomGain mines global-to-zoom perception gaps to build fine-grained visual supervision, and ZoomGain-9B reached superior performance on multiple fine-grained and general perception benchmarks. ZoomGainBench contains 1,000 questions over 941 images, while the RL dataset holds 9,000 training records and 7,713 source images.

  23. inclusionAI Models38

    inclusionAI Releases ZoomGain-4B and ZoomGain-9B with ZoomGainBench and RL Training Data

    inclusionAI released the arXiv paper, ZoomGainBench evaluation benchmark, RL training dataset, and ZoomGain-4B/ZoomGain-9B model checkpoints. The best of 28 models scored 61.08 on ZoomGainBench, while ZoomGain-9B reached superior performance on multiple fine-grained and general perception benchmarks. ZoomGain mines global-to-zoom perception gaps to build fine-grained visual supervision for vision-language models.

  24. inclusionAI Models40

    inclusionAI Releases SingVL S1 4B Multimodal Decision Model on Qwen3.5

    inclusionAI released SingVL S1, a 4B multimodal decision model built on Qwen3.5 that answers named questions over text or JSON and up to four images in a single Transformers forward pass. It supports choice, yes/no (noul) and 2–10 level score questions, scoring 73.94 on the Public Vision Index and 69.76 on the Public Text Index. The model ships with Python inference code and a FastAPI HTTP server.

  25. Microsoft Research75

    Microsoft researchers describe Lazarus, a backdoor that reprograms dormant neurons in AI agents

    Microsoft researchers have described Lazarus, a backdoor technique that reprograms fewer than 10 dormant neurons in an LLM so an agent built on it emits attacker commands when a hidden trigger appears, with no retraining required. The modified model still passes standard evaluations and behaves normally until the trigger, which can be as simple as a date change, and the agent then runs the downloaded code with whatever access it was given. The authors say detection requires diffing against the original weights, and Microsoft Foundry already ties open-weight models to their publishers and scans their containers, while red-teaming harnesses, agent-based weight scanning and signed models with tamper-evident provenance are in development.

    Why it matters: Microsoft researchers show that reprogramming fewer than 10 dormant neurons can backdoor an LLM agent without retraining, which makes weight provenance and integrity a practical security requirement.

  26. LangChain Blog58

    LangChain explains retrieval techniques for AI agent context engineering

    LangChain published a blog post on how retrieval design shapes context engineering for AI agents, using a competitive analysis agent built on its Deep Agents harness as the example. The post covers three failure modes, inefficient searching, loading too much context at once, and irrelevant or stale results, and pairs each with techniques such as glob and grep filesystem tools, paging through large files with read_file offsets, offloading oversized tool results to files, and delegating reading to subagents under a retrieve, offload, delegate pattern. It also warns that retrieved text is data rather than instructions and can carry prompt injection, so outputs should be checked against cited sources.

  27. LangChain Blog60

    LangChain explains how Deep Agents manages context without keeping everything in the window

    LangChain details how its open source Deep Agents harness uses middleware to fight context rot on long agent runs. Tool results over roughly 20,000 tokens and user messages over 50,000 tokens are offloaded to files with only a preview shown, while summarization condenses older messages once usage hits 85% of the context window. Skills, subagents and a markdown long-term memory file keep the main agent's window small and let memory carry over across models and providers.

    Why it matters: LangChain explains how its open source Deep Agents harness uses middleware to offload, summarize and isolate context, offering a reusable pattern for agents on long tasks.

  28. inclusionAI Models22

    inclusionAI Releases GGUF Weights for ZoomGain-9B

    inclusionAI has released GGUF-format weights for ZoomGain-9B, converted with llama.cpp, covering the language model and the vision encoder/projector (mmproj) in FP16, Q8_0 and Q4_K_M. Image input requires pairing the language model with the matching mmproj file, and the repo documents CLI inference via llama-mtmd-cli and a web chat setup via llama-server. A llama.cpp build with Qwen3.5 multimodal support is required, and quantization may affect accuracy.

  29. Google Blog · AI50

    Gemini Intelligence expands to Motorola signature 27 and Pixel 10 with new features

    Google is bringing Gemini Intelligence to more Android devices, including the first Motorola Gemini Intelligence phone, motorola signature 27, up for U.S. pre-order on November 19, and Pixel 10, Pixel 10 Pro XL and Pixel 10 Pro Fold via today's Pixel Drop. New capabilities include Create My Widget, which builds custom widgets from a text description using Gmail, Calendar and Search data, and Device Assistance for controlling and fixing your phone by asking Gemini. Rambler is now available on Pixel 10 series and motorola signature 27, task automation expands to the UK, India and Japan, and Create My Widget is coming to Pixel Watch in the next few weeks.