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Nov 10Tue
  1. Databricks Blog23

    Turn buying signals into pipeline with Sendoso gifts in Genie One

    Databricks describes how Sendoso's MCP server, installed from Databricks Marketplace as a governed MCP Service in Unity Catalog, lets Genie One users find intent signals in their own data and then select, preview, approve, track or cancel a gift without leaving the workspace. Send history sits alongside pipeline data for attribution, while Unity Catalog permissions, Unity Gateway controls and Sendoso budgets and approvals govern each send. The post cites Sendoso's 2026 Digital Fatigue Report finding that 84% of buyers are fatigued by cold calls and 83% by marketing emails.

  2. Meta Engineering38

    Extending LLDB to Debug Applications That Span CPUs and GPUs

    Meta describes a vendor-neutral accelerator plugin architecture in lldb-server that separates shared debugger infrastructure from hardware-specific device control, representing the CPU and GPU as separate LLDB targets within one debugging session. The plugin translates a vendor's device debugging API into LLDB concepts such as processes, threads, registers, memory, modules, and stop reasons, and is activated only when the application uses a supported GPU runtime. Most of the common framework has been upstreamed to LLVM, including the plugin interface, GDB-remote packets, and hardware-independent mock tests.

  3. Amp Chronicle42

    Portals on Your Runner

    Portals, previously available in orbs, now work on local machines, letting you ask Amp to start a dev server or build a website and open it from the thread's Portal tab regardless of location. Enable them via Allow Portals under Settings › Runner in the macOS app or by starting your runner with amp --no-tui --remote-control-portals; portals on your runner are accessible only to you. To share them with your workspace, start a shared runner with --share or turn on Share With Workspace in the macOS app.

Nov 9Mon
  1. ElevenLabs Blog60

    ElevenAgents Campaign Manager works every contact to an outcome

    ElevenLabs introduces ElevenAgents Campaign Manager, which takes a list of contacts and a target outcome and runs outbound campaigns, following up over time and carrying context between calls until the outcome is reached or the contact asks to stop. It offers campaign analytics with per-contact decision timelines, a needs-attention queue, CSV export, and controls including calling windows, attempt limits, do-not-call lists and disclosures, and it uses existing ElevenAgents agents and phone numbers over phone calls, WhatsApp voice and WhatsApp messaging, with email and SMS coming soon.

    Why it matters: Announces a new outbound campaign product from ElevenLabs with beta customer results, so it is relevant to teams evaluating AI calling tools.

  2. Databricks Blog36

    Accelerate GPU training on Unity Catalog tables with UCDataset

    Databricks released UCDataset in Beta on AI Runtime, a native PyTorch data loader that streams Unity Catalog tables directly to every GPU in a training job without exports, copies, or custom loader code. On a simulated production workload streaming a 300 GB feature table across 8 NVIDIA H100 GPUs to train a recommendation model, UCDataset cut training time by 10x on average compared with loading data directly from Parquet. The Beta reads Delta tables in Unity Catalog, applies filters and deletion vectors as data is read, and enforces Unity Catalog permissions, though it cannot read tables with row filters or column masks.

  3. Hugging Face Blog36

    Nemotron-Personas-Finance-Japan: A Synthetic Dataset Capturing Japan's Demographics and Financial Context

    Elith and NVIDIA released Nemotron-Personas-Finance-Japan, an open synthetic persona dataset built on official Japanese statistics and household finance and financial literacy data, generated with NeMo SDG-PGMs and NeMo Data Designer. It contains 9M personas (1M records x 9 personas) in natural Japanese across 50 fields, released under CC BY 4.0 for commercial and non-commercial use. The dataset is designed for financial AI development such as conversational agents, customer simulation, model evaluation, and bias testing without using real customer data.

  4. NVIDIA Newsroom78

    Practice Makes Precise: At CoRL, NVIDIA and Partners Reveal How Robots Rehearse Delicate Work in Simulation

    At CoRL in Austin, NVIDIA introduced open robotics technologies including GR00T 2, an open world action model built on NVIDIA Cosmos and trained on diverse robot and human data including 100,000 hours of open source human egocentric data, plus Isaac Lab 3.0 with tighter Newton integration for deformable objects and a new reinforcement post-training library. Two NVIDIA papers, GRAIL and RoboTTT, are among six finalists for Best Paper Awards, and partners including Ambi Robotics, Bosch Research, Siemens, Skild AI and UC Berkeley are applying the tools to benchmarks such as DexBench and VABAR and to agentic workflows like Graph-as-Policy. The piece also details AlphaNIST, which trains a single policy across all 20 NIST Assembly Task Board tasks with over 98% training success using roughly 39x less GPU time, and Isaac Lab 3.0 with Newton reaching up to 2.5x the training throughput of Isaac Lab 2.3 with PhysX in a vision-based dexterous manipulation benchmark.

    Why it matters: It offers a detailed, source-grounded survey of NVIDIA's CoRL announcements and partner deployments, useful for readers tracking simulation-based robot learning and evaluation benchmarks.

  5. Cloudflare Blog30

    Launching the Vite Ecosystem Fund

    Cloudflare is distributing the first $301,300 of the Vite Ecosystem Fund to 44 projects and maintainers, part of a $1 million commitment made when VoidZero joined Cloudflare. The post argues that AI has made open source funding urgent by increasing AI-authored pull requests and maintainer burnout, and it describes the fund's selection panel and stipend structure of up to $4,000 per month at $50 per hour for eligible core maintainers.

  6. Hugging Face Blog38

    Your Experts Have Partners. There's HOPE for Keeping Them Together

    This post introduces HOPE (Higher-Order Pruning of Experts), a second-order expert-pruning method for Mixture-of-Experts language models that accounts for pairwise expert interactions via an F-matrix and a quadratic program, rather than scoring each expert independently. Evaluated on Qwen3.5-122B, Qwen3.5-35B and GLM-4.5-Air with two calibration datasets, HOPE achieved the best average rank across conditions and gains of up to +6.1% on agentic coding tasks over the next-best method, with its advantage growing at aggressive pruning rates such as 50%. The post also describes a three-step calibrate/solve/prune package and notes limitations, including weaker advantages at 10–20% pruning and no cross-layer interaction modeling.

  7. Google Developers Blog60

    What is Pathways? Single-controller training for large models

    Google announces the General Availability of Pathways on Google Cloud Platform, describing the distributed system it built to train large models including Gemini. The post explains where SPMD execution falls short—pipeline bubbles, RL loops with distinct programs, and failures that stop every process—and how Pathways instead has a single Python client declare the whole computation as a graph of blocks and tensors, with a distributed runtime placing it on virtual devices, moving and resharding tensors, ordering work across the cluster, and remapping around a failed host. It also contrasts Pathways with Ray, framing Ray as orchestration and Pathways as the execution layer beneath it.

    Why it matters: Useful for readers weighing single-controller execution against SPMD for large-model training, and for clarifying how Pathways relates to Ray.

  8. Lovable Blog33

    The Radish AI team joins Lovable to scale agentic capabilities for businesses

    Lovable has acquired the team behind Radish AI, which built an agentic infrastructure platform for building, deploying, and scaling complex AI agents with privacy and security built in. The team includes Nirman Gupta (formerly of Meta and Bloomberg), Ish Singh (a two-time founder who led AI and data products at Google, JPMorgan, and Goldman Sachs), and Adrian Zgorzałek (12 years at Meta). They will be split between Lovable's Stockholm and London offices, with Gupta leading engineering on agents for businesses from the London office.

  9. Lovable Blog38

    How we moved our frontend off Firestore and built Lovable Realtime

    Lovable built its own WebSocket-based realtime service, Lovable Realtime, to replace browser-side Firestore listeners, letting its Go backend control payload shape and re-evaluate authorization continuously across Firestore and Spanner data. The service handles peaks of over 2 million concurrent subscriptions and delivered about 2.61 billion data and patch frames in a month, with update latency of 66 ms at p50 and 249 ms at p99. The rollout used shadow traffic and a gradual feature-flag ramp to 100% of users without a user-facing incident.

  10. NVIDIA Newsroom25

    NVIDIA Announces New Planned Investments in Korean Startups at the MSIT-NVIDIA AI Startup Partnership Forum

    Korea's Ministry of Science and ICT and NVIDIA hosted the MSIT-NVIDIA AI Startup Partnership Forum at COEX, where Vice Minister Ryu Je-myung and NVIDIA leaders met with over 20 Korean startups spanning foundation models, physical AI, AI infrastructure and AI semiconductors. NVIDIA announced an investment in Point2 Technology, an AI interconnect company building RF-based interconnects for AI cluster scale-up, with additional investments planned in Motif Technologies, RLWRLD and Upstage. The planned investments build on NVIDIA's work with Korea's startup community, including more than 1,000 Korea-based members of NVIDIA Inception.

  11. Sarvam AI Blog22

    Sashikumar Sreedharan joins Sarvam as President and Chief Business Officer

    Sarvam announced that Sashikumar Sreedharan, formerly Managing Director for India at Google Cloud and previously head of Microsoft India's enterprise business, is joining as President and Chief Business Officer and a member of its board of directors. He will lead business across enterprises and government, expand work with digital native companies, developers and partners, and oversee Marketing, Finance, Forward Deployed Engineering, Service Delivery and Commercial Operations. Sarvam said over 100 enterprises and government institutions are building with its full-stack offering.

  12. MIT News AI38

    AI-assisted learning platform helps robots reason beyond literal commands

    MIT and NYU researchers introduced FLEX, a flexible feature-editing pipeline for robot motion-planning that lets robots interpret natural-language commands and generalize beyond their literal meaning. FLEX uses a three-step process — Add, Generalize (via the LLM GPT-4o), and Mask — so a robot told "Don't spill on the laptop!" also avoids other electronics, and it was demonstrated in simulations of serving coffee, moving a candle, and carrying a bowling ball. The study, led by MIT assistant professor Andreea Bobu, will be presented at the annual Conference on Robot Learning.

  13. MIT News AI58

    A single AI model simulates the behavior of many substances, from sliding sand to folding proteins

    Researchers at MIT, UBC and elsewhere have developed WorldParticle, a deep-learning system that represents materials as Lagrangian particles and predicts their motion one step at a time, learning underlying dynamics rather than relying on hand-coded solvers. The model was demonstrated on six physical phenomena, including deformable objects, granular materials and proteins, with higher accuracy than numerical methods and modeled protein structural changes about 100 times faster than numerical simulators. The work will be presented at ACM SIGGRAPH Asia.

  14. NVIDIA Newsroom37

    NVIDIA, Rebellions and SK Telecom Announce Collaboration to Advance Sovereign AI Infrastructure With NVIDIA NVLink Fusion

    NVIDIA, Rebellions and SK Telecom announced a collaboration, supported by Korea's Ministry of Science and ICT, to advance Korea's sovereign AI infrastructure using NVIDIA NVLink Fusion. Rebellions plans to connect its next-generation R200 NPUs to the NVIDIA platform and use the NVIDIA MGX rack architecture, while SK Telecom plans to deploy these systems in its AI data center alongside its proprietary models and public-facing services, including those under Korea's "AI for All" project. Rebellions' R200 systems are expected to be ready for deployment in 2028.

  15. NVIDIA Newsroom36

    NVIDIA Dynamo Recipes Bring Korea’s Leading Open Models to Production

    NVIDIA is releasing Dynamo-optimized deployment recipes for four Korean open models: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage, and Motif-3 from Motif Technologies. NVIDIA Dynamo is an open source, distributed inference-serving framework that handles request routing and communication for multi-node deployments at data center scale. Optimized for NVIDIA B200 GPUs, the recipes deliver up to 2x performance out of the box.

  16. NVIDIA Newsroom34

    From Chips to Skills, NVIDIA and Korea Expand Sovereign AI Collaboration

    NVIDIA and South Korea's Ministry of Science and ICT are expanding their collaboration across the country's sovereign AI ecosystem, from AI semiconductors and data center infrastructure to talent, startups, models, agents and security. The collaboration lets Korean NPU and XPU companies explore participation in the NVIDIA NVLink Fusion ecosystem and includes NVIDIA training, certification programs, hackathons and technical seminars. NVIDIA also announced a collaboration with SK Telecom and Rebellions, supported by MSIT, to advance sovereign AI infrastructure for Korean models and workloads using NVLink Fusion.

  17. NVIDIA Newsroom34

    Korea’s AI Ecosystem Advances and Secures Agentic AI With NVIDIA

    Hyundai Motor Group is exploring NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime, while AIM Intelligence is integrating its Starfort agent control platform with NVIDIA OpenShell to combine runtime access controls with detection of malicious instructions and data leakage. LG AI Research is opening API access for K-EXAONE-2.5, developed using NVIDIA Nemotron datasets including Nemotron-Personas-Korea, an open dataset of 7 million fully synthetic Korean personas grounded in official Korean statistics. OpenShell, part of the NVIDIA Open Agent Safety Platform, provides a secure runtime with sandboxed execution and policy-based controls for governing autonomous agent actions.

  18. NVIDIA Newsroom36

    Korea Advances Physical AI Across Industries With NVIDIA

    NVIDIA is helping advance Korea's physical AI ecosystem, with industry leaders applying accelerated computing, AI and simulation across semiconductor manufacturing, robotics and autonomous vehicles. Samsung Electronics is expanding its NVIDIA collaboration in semiconductor engineering, including a case where AI homogenization with coarser grids and GPU acceleration cut simulation time from about 18 hours on a 32-core CPU to 41 seconds. Kakao Mobility plans to build a level 4 autonomous driving system using NVIDIA Hyperion and Halos, while LG Electronics demonstrated NVIDIA Isaac GR00T-powered robotic manipulation with its CLOiD robot in a manufacturing environment.

  19. Codex Releases12

    rust-v0.169.0-alpha.4

    This GitHub Changelog entry lists the release title "rust-v0.169.0-alpha.4" but provides no further details about the release's contents, changes, or features.

  20. Artificial Analysis Articles42

    Introducing the Artificial Analysis Decision Index v2

    Artificial Analysis released Decision Index v2, with 45% of the Index built on private datasets (up from 25% in v1) and a new Decision Score that rewards both correctness and calibrated confidence. Drex Max v1.1 (Nace AI) and GLiDE v1.2 (Fastino Labs) both score 73, with Mammoth 27B (Baseten) at 72, while cost per 1M Tasks ranges from $14 for Celeris-1.1 Decision to $859 for Clef. The update adds AA-Paperclip (1,500 private documents), AA-Symmetry, revised AA-Omniscience-Decision and HLE-MultiChoice benchmarks, and EvalSafe-O*NET-AA, while reducing When2Call to 10% and removing WildGuardTest.

  21. Artificial Analysis Articles40

    Endpoint Accuracy Index v1.1: Tighter long context intervals and expanded model coverage

    Artificial Analysis released Endpoint Accuracy Index v1.1, which updates AA-LCR-25 to dataset version 1.1 with corrected answer keys, an updated equality-checker LLM and 25 repeats per question, narrowing the average 95% confidence interval from ±4.7 to ±2.6 points. Coverage now spans 103 serverless endpoints across six open weights models, adding GLM-5.3 Flash and Muse Spark Open and replacing DeepSeek V4 Pro with DeepSeek V4.1 Flash 1017, while GLM-5.2 leaves. Of the 103 endpoints, 24 score statistically below their self-hosted reference, with causes grouped as output token caps, reduced reasoning, tool call handling differences, and request limits or stream behavior.

Nov 8Sun
  1. n8n Blog20

    Send contracts for e-signature from n8n, with TurboDocx, Slack approval and SharePoint filing

    This guest post by TurboDocx CEO Nicolas Fry walks through an n8n workflow that reads contracts marked "Ready to send" from an Excel table, generates the agreement from a Word template via the TurboDocx node, and routes it to Slack for Approve & send / Reject approval. Approved contracts are sent for e-signature with signature and date fields placed at template anchors, and a TurboDocx Trigger then downloads the executed PDF, uploads it to SharePoint, marks the row Signed and posts to Slack. The post covers setup, template preparation, end-to-end testing, troubleshooting and possible swaps such as CRM triggers or Teams approvals.

Nov 7Sat
  1. vLLM Blog38

    Migrating vLLM to the LibTorch Stable ABI

    vLLM describes migrating its C++ backend to the LibTorch Stable ABI so that updating PyTorch no longer requires rebuilding vLLM, and as of v0.33.0 it publishes LibTorch ABI Stable CUDA wheels. The migration involved moving AutogradFunctions and meta functions to Python, building a separate stable library with the TORCH_TARGET_VERSION flag, registering ops via STABLE_TORCH_LIBRARY with TORCH_BOX, and migrating seven LibTorch-dependent dependencies including FlashMLA, DeepGEMM, FlashAttention-2/3, DeepSelect, FlashKDA and QuTLASS. Verification used torch-abi-audit, now in vLLM CI, and the post notes tradeoffs such as the limited stable API subset and small host-side overhead, with CPU and ROCm builds planned next.

  2. GitHub Blog · AI & ML36

    Beyond code generation: A developer’s guide to agentic engineering

    GitHub reports over 1.2 billion commits in one week this October, more than 400% above a year earlier, while a Faros AI study found pull requests spent 441% longer in review as teams moved from low to high AI adoption. The post outlines an agentic engineering workflow across Plan, Build, Verify, and Observe, describing Copilot features such as Plan Mode, cloud sandboxes, session continuity, stacked pull requests, Copilot code review, Agentic Autofix, and Agent Merge. It advises starting with one frustrating piece of work and putting an agent on it before expanding across the process.

  3. NVIDIA Technical Blog30

    Speed Up Image Generation with FLUX 3 Image Klein on NVIDIA Blackwell GPUs

    The article addresses inference latency when deploying diffusion models in design tools, image editors, and visual production workflows, noting that generating an image requires multiple sequential passes through a model with billions of parameters and that higher resolutions increase attention costs. It introduces FLUX 3 Image Klein, an image editing and generation model from Black Forest Labs (BFL), and covers speeding it up on NVIDIA Blackwell GPUs.

  4. ElevenLabs Blog30

    Voice AI infrastructure: The 2026 stack explained

    This guide describes the layers of a production voice AI stack—speech recognition, turn-taking, language models, orchestration, tools and MCP, knowledge and memory, speech synthesis, telephony, and guardrails, testing, and monitoring—and explains how ElevenAgents implements each, using Eleven v4 as the example voice layer. It covers two build modes (Custom and Realtime), Scribe v2 Realtime transcription at roughly 150 ms, a proprietary turn-taking model, workflow orchestration nodes, MCP tool approval modes, RAG latency reduced from 326 ms to 155 ms, and Eleven v4 Turbo figures of about 100 ms inference latency and about 150 ms time to first speech. It also details Guardrails 2.0, simulation and tool-call tests, A/B experiments, and observability metrics.

  5. MIT News AI38

    How to predict the behavior of molecules from scant data

    MIT researchers developed CheMeleon, a pre-trained foundation model built on the open-source ChemProp package that learns from descriptors of a million molecules in PubChem and can be fine-tuned to predict molecular properties from limited data. In tests across 58 cases it outperformed other foundation models and classical expert-designed models, and nine of the top 20 entries in an OpenADMET contest used it. The findings were published in the Journal of Chemical Information and Modeling by Zalte, Burns, Abreu, Green, and three BASF researchers.

  6. Codex Releases12

    0.169.0-alpha.2

    This GitHub Changelog entry is titled "0.169.0-alpha.2" and lists GitHub's navigation and product areas, including Platform, Copilot, Actions, Code Quality, Codespaces, Secure Code, Secret Protection, and Add-ons such as GitHub Advanced Security and Copilot for business. The material does not describe any specific feature, improvement, or fix associated with this version.

  7. OpenRouter Announcements38

    How Sentry Capped Runaway AI Bills Without Restricting Access

    Sentry moved its internal AI usage onto OpenRouter in July 2026, retiring roughly 500 Anthropic and OpenAI keys over about three weeks and switching off direct access to both providers in August. Keys are bound to users or workspaces so spend can be traced to an owner and model, and per-person and per-workspace budgets cap runaway bills. Sentry says the change gave it tighter control and wider model access at the same time, with 45+ apps and 147 models used in the first three months.

  8. ElevenLabs Blog22

    Share your ElevenMusic creations directly to SoundCloud

    ElevenMusic launched a SoundCloud integration that lets users connect their SoundCloud account under Linked Accounts in profile settings, then add a description, genre, and tags to an original track and click "Save to SoundCloud" to upload it to their profile. SoundCloud Artist Pro members can get three months of ElevenMusic free, then $9.99/mo unless canceled; the offer is 18+, ends 31 Oct 2027, and terms apply.

  9. Cursor Changelog62

    Voice Chat with Agents

    Cursor now supports realtime voice calls with agents in the Agents Window, the IDE, on web, and in Cursor for iOS, letting you describe changes out loud, ask what an agent is working on, and hear updates as work progresses. Voice chat runs on Grok Voice with selectable voices including Ara, Eve, Leo, Rex, and Sal, and uses zero data retention when Privacy Mode is on. It is separate from dictation, which still converts speech to text in the chat input and toggles with Cmd+Shift+Space in the IDE.

    Why it matters: Useful for Cursor users who want to know how the new voice call feature differs from dictation and where it is available.

  12. NVIDIA Technical Blog22

    Accelerating Reinforcement Learning Weight Refit with the Reshard Collective

    This post discusses how reinforcement learning post-training generates trajectories by running inference with the current policy model, and how disaggregated setups run inference and training in parallel on separate GPU resources for efficiency. Because the policy model is updated only on the training GPUs, the system must periodically refresh the weights on the inference side, and the post introduces the Reshard Collective to accelerate this weight refit.

  13. ElevenLabs Blog30

    Ads Engine adds human review from localization experts and creative specialists

    ElevenLabs Ads Engine now lets teams have ElevenLabs localization experts and creative specialists review ads made in the tool, including new variants and localizations for markets where no team member speaks the language. Ads Engine connects to ad platforms, pulls existing creative, translates text, adapts images and dubs video, with linguists from ElevenProductions and in-house creative specialists reviewing before ads are finalized. It uses Brand Kit to apply colors, fonts, logos, reference images and rules across variants, and can return finished creative for approval or push it directly to ad platforms.

  14. AWS Machine Learning Blog40

    Serverless MCP server for AI agent data lake access on Amazon ECS Fargate

    Amazon's North America Sort Center team built a serverless Model Context Protocol (MCP) server on Amazon ECS Fargate that acts as a centralized, agent-agnostic gateway between AI agents and the enterprise data lake. Adding a dataset requires only a metadata JSON file, which the pipeline indexes into Amazon Bedrock Knowledge Bases, while Amazon Cognito authentication, SELECT-only Athena tools, Bedrock Guardrails, and CloudWatch logging provide centralized controls. The architecture separates the tool layer from the agent layer so any MCP-compatible client can share the same tools and access controls in a multi-tenant environment.