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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.

Amazon Debuts AI-Powered Ring Security Drone and Robot

Amazon is launching Ring Robotics devices, an AI-powered security drone and a robot, with roaming capabilities. The devices will debut in late 2026 and early 2027.

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.

Grok Build coding agent leaks confidential data from thousands of users, including SpaceXSI

Security firm Claroc found that Grok Build, the vibe-coding agent from SpaceXSI, leaks proprietary business information and other sensitive secrets from thousands of users through shareable app links. Although Grok randomizes URLs so only people with the exact link can access the data, a design decision lets anyone enumerate thousands of live projects, and clicking those links generally reveals all associated data. The exposed material includes internal business plans, ad proposals, medical exam results, cruise-line galley checklists, and employee names and ID numbers, with some of it coming from 24 apps built by SpaceXSI itself, among them a confidential onboarding plan, a sales territory map of 594 accounts, and internal system addresses for sales tools.

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.

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.

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.

What Happens to Mathematics When AI Becomes an Oracle?

Applied mathematicians Steven Strogatz and Alex Townsend explore how "big math" is outgrowing human comprehension in their new book Big Math: The Hidden Codes That Run Our World. The book examines what it means as LLMs, AI chatbots and eventually quantum computing take on math beyond the capacity of finite human brains, and how society might adapt.

Redwood Research Questions Whether GDM Intentionally Trains Gemini 4 on Chain of Thought

Redwood Research says it is unclear whether Google DeepMind intentionally trains Gemini 4 on chain of thought, after the Gemini 4 Safety report cited an auxiliary reward that observes thoughts as context. GDM staff told Redwood they were not training on CoT but could not explain the technical details, while a GDM blog post says the model is never penalized for what it writes in its chain of thought. Redwood warns that CoT rewards biased against misaligned reasoning could suppress honest verbalization and reduce CoT faithfulness.

Simon Willison tests Gemini 4 Carbon in Antigravity IDE as Google opens access to all users

Gemini 4 Carbon, announced two weeks ago for a subset of cyber defenders, is now available to everyone at $2/million input and $10/million output, with prices scheduled to double to $4/$20 on December 1st. Simon Willison tested it in Google's Antigravity IDE, generating a Three.js animation of a mech stomping through New York City using OpenStreetMap data, and noted that Google CEO Sundar Pichai highlighted Antigravity's /swarm feature building an open-world 3D game with Blender assets, WebGL shaders and Lyria music.

Same event; the pick carries“Google DeepMind releases Gemini 4 Carbon for agentic coding, cybersecurity and scientific reasoning”

Designing for Agents: Resend CEO Zeno Rocha on How Agents Choose an Email API

Resend co-founder and CEO Zeno Rocha joined the Latent Space podcast to explain how the email API is designed to be picked by coding agents, citing an AEO study in which Claude Code chose Resend first in 64 of 102 email recommendations. Resend's earlier wedge was React Email, a template tool developers could use with any provider, so some Resend code was already in the repo before they switched.

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.

Jensen Huang affair with suspected Chinese spy raises alarms for Nvidia and the US AI lead

Nvidia CEO Jensen Huang acknowledged an affair with a woman suspected of being a Chinese spy, and experts tell The Verge the fallout could disrupt the US AI industry and its lead over China. Companies linked to the alleged spy, Alice Huang, reportedly enabled at least $7 billion of Nvidia chip sales to China, while CNAS's Emily Kilcrease warns that with access to the latest Nvidia chips, the US lead could vanish in weeks or months. Kilcrease also said the investigations already underway will consume company bandwidth and that pending AI chip control legislation in Congress now has far higher odds of passing.

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.

NaiveAI's Naive-N0.5-Flash claims 2,100 tokens per second: how well does it code?

Latent Space tested NaiveAI's open-weights Naive-N0.5-Flash, a coding model derived from Xiaomi's MiMo-V2.5 and paired with the NaiveRT inference engine, against DeepSeek V4.1 Flash 1017 and GLM 5.3 Flash. In the author's runs it peaked near 2,000 tokens per second and sustained about 1,000 during thinking-heavy tasks, with a median response time of 3.1 seconds versus 5.3 and 10.1 seconds for the two comparison models. On hard HLE questions it averaged about 108,500 completion tokens with thinking on, roughly nine times GLM 5.3 Flash and 11 times DeepSeek V4.1 Flash 1017, and the author notes the sample was 10 questions per difficulty level with no accuracy grading.

STABL: A Non-Profit Research Organization Focused on AI's Missing Quadrant

STABL is launching as a non-profit research organization that takes both frontier AI's transformative potential and the downstream bottlenecks to its societal impact seriously, a position it calls the missing top-right quadrant. It argues that institutional change, not just alignment, must be central to managing AI risk, and plans empirical work on recursive self-improvement, AI diffusion, labor market disruption and societal resilience.

Ed Zitron on Jensen Huang, Megaspeed and NVIDIA's China GPU Sales

Ed Zitron argues that NVIDIA's growth has been propped up by GPU sales routed to China through Megaspeed and related intermediaries, citing Culper Research's claim that about 20% of FY2026 revenue, roughly $43.18 billion, came from China. He points to Bloomberg and New York Times reporting that Megaspeed imported 50,000 more GPUs than NVIDIA told the US government, and that NVIDIA's general counsel contacted Commerce officials about the Megaspeed probe. Zitron also criticizes mainstream outlets for not raising the smuggling story during NVIDIA's earnings coverage.

Anthropic launches Claude Whiteboards, Sheets and Data for team collaboration

Anthropic introduced Claude Whiteboards and Claude Sheets in beta, and made Claude Dashboards generally available as Claude Data. Whiteboards turns a spoken plan into a board with a timeline, owners and dates that teams can edit in real time, while Sheets builds spreadsheets with tabs, formulas, formatting and drop-downs and outlines each edit. Claude Data lets data teams certify queries and generate data stories or narrated videos from metrics, with live sharing showing up-to-date numbers.

Claude launches interactive connectors for Adobe, Atlassian and Box

Claude now supports interactive connectors that open the full version of a tool inside Claude, so users can work in Adobe, Atlassian and Box alongside the conversation and either make changes themselves or ask Claude to make them. In the demo, Claude adds a summary to a launch plan in Confluence, applies a dither effect to a photo in Adobe, and checks a floor plan against a design standard in Box before saving the revision as a new file. The feature is rolling out on web and desktop.

How Workday Built an Enterprise-Scale AI Agent Platform with LangGraph and LangSmith

Workday built an internal developer platform for production AI agents on LangGraph for orchestration and LangSmith for tracing, observability and evals, with a team of four. Prototype time dropped from 4–5 months to under a day, and the team has grown to roughly 30 members.

Meta details how Your Algorithm turns natural-language preferences into Facebook Feed and Reels recommendations

Meta published an engineering overview of Your algorithm, a suite of AI tools that lets Facebook users state in natural language what they want to see in Feed and Reels, with a single editable page listing Interested In and Not Interested In topics. Each change is validated by a smaller LLM, enriched with embeddings and search keywords, and saved to a shared store that both Feed and Reels read, while a fine-tuned LLM reranker removes content matching newly added Not Interested In topics. Meta says a supplementary tail load and client-side cache invalidation make changes take effect faster, and that a separate LLM judge grades outputs such as the Lately Summary before launch.

Meta explains TLX, a hardware-native GPU compiler extension to Triton for production ML

Meta detailed TLX (Triton Low-Level Extensions), an extension to Triton that adds explicit warp-group and cluster-level orchestration while keeping Triton's tensor programming model. TLX is already running in production across Meta, with 20-25% end-to-end MFU on thousands of NVIDIA Blackwell GPUs for GEM training, up to two-thirds lower compute-intensive net latency for RecSys inference, and a distributed grouped GEMM kernel deployed in large-scale LLM pretraining. Meta says TLX targets NVIDIA Hopper and Blackwell plus AMD Mi300 and Mi350x, and is working on more architectures, automatic warp-group inference and a torch.compile backend.

a16z Leads Series A in General Translation, a Full-Stack Localization Startup

a16z announced it led the Series A round of General Translation, a developer infrastructure company building full-stack, AI-powered localization that integrates directly into React apps, documentation, and tools like GitHub, Figma, and Slack. Customers including Cursor, Cognition, Ramp, and Clickhouse already use it to ship products in every language. a16z partner Martin joins the board.

MiniMax releases H3-Image, an open-weight model generating 4K images in under 10 seconds

MiniMax released H3-Image, an open-weight image generation model built on H3 that supports text-to-image, reference-based generation and image editing, and can produce a 4096 × 4096 image in under 10 seconds. The company says it handles up to 16 reference images, claims state-of-the-art prompt adherence among open-weight models, and reports speeds up to 5× mainstream alternatives. H3-Image is available via the MiniMax API Platform, MiniMax Code and Hailuo AI, priced at 50–70% of comparable offerings, with 50% off 4K-and-above requests during launch week.

Google DeepMind releases Gemini 4 Carbon for agentic coding, cybersecurity and scientific reasoning

Google DeepMind made Gemini 4 Carbon available to developers, enterprises, scientists and consumers, positioning it above Gemini 4 Argon for tasks that need deeper reasoning and more tokens. Carbon ranks #1 on CursorBench 4.0, Perplexity's WANDR and Zapier's AutomationBench at more than 2X lower cost per task than the next best external model, and is priced at $2 per million input tokens and $10 per million output tokens, the same introductory price as Argon. Google also previewed /swarm in Google Antigravity, which turns a single prompt into a coordinated team of agents, and reported that Carbon blocked 99% of attack trajectories in simulated cyberattack testing.

NVIDIA Contributes OpenShell Agent Runtime to CNCF and Adds DSX Kubernetes Tools

NVIDIA is contributing OpenShell, its open source runtime for securing and governing autonomous agents, to the Cloud Native Computing Foundation as a Sandbox project, and is also contributing to Google-led Agent Substrate. NVIDIA announced three new DSX AI Factory Platform components: NVIDIA Kubernetes Engine and NVIDIA Kubernetes Recipes, now in public preview, and NVIDIA Snapshot, which restores checkpointed replicas in seconds without model reload or warmup. Crusoe tested GLM-5.3 on Crusoe Cloud and cut workload ready time from roughly eight minutes to 31 seconds, while Saturn Cloud reduced vLLM startup from between two and 8.5 minutes to six and 34 seconds.

Recraft launches Vectorizer Pro for cleaner SVG vectorization

Recraft released Vectorizer Pro, a vectorizer that turns PNG, JPG and WebP images into cleaner SVGs, available to everyone in Recraft Studio on every plan since October 29, 2026. It keeps straight strokes straight and evenly spaced, preserves sharp icon tips and corners, and draws curves as one clean sweep, reducing cleanup in Figma or Illustrator. Flat illustrations, logos, icons and line art benefit most, while heavily textured sources may still need simplifying first.

Mastra Forward: Mastra launches AI engineering service with forward-deployed engineers and agent factory

Mastra launched Mastra Forward, an AI engineering service that pairs a named forward-deployed engineer with Mastra Factory, an agent swarm installed in the customer's repo. The annual engagement costs less than one senior AI hire and includes an Enterprise license with hosted, self-hosted, or BYOC deployment plus a Trace Intelligence pool. Mastra says its factory produces 750+ PRs per week.

Google releases A2UI 1.0, a stable open protocol for agent-generated native UI

Google released A2UI 1.0, the first stable version of its open protocol that lets AI agents answer with interactive screens rendered by each app's own native components. Version 1.0 adds bidirectional function calls, accessibility support and extension metadata, plus open-source renderers for React, Angular, Lit, Flutter, SwiftUI and Jetpack Compose (the Compose renderer is at 0.9.1 with 1.0 coming soon) and agent SDKs for Python, TypeScript and Dart. Atlassian is bringing A2UI to Jira, Alation renders its feeds with it in Claude, and ByteDance shipped a Lynx renderer in June 2026 that supports 0.9 today.

Mastra adds MCP Tasks for background long-running tool calls

Mastra now supports tasks in MCPServer and MCPClient, letting long-running tool calls run in the background while the agent keeps responding to users. The server returns a task ID immediately, and the client polls for status values working, input_required, completed, failed or cancelled, with a notification sent to the agent when the task finishes. Tools can be set to always, auto (after a 2-second syncWindowMs default) or off, and tasks can still call suspend() for human input; the feature requires @mastra/mcp@2.7.0 and @mastra/core@1.81.0 or later and remains experimental.

PFN's AUTiv automated mouse tail-vein injection robot wins 12th Robot Award Chairman's Prize

Preferred Networks' AUTiv automated mouse tail-vein injection system received the Japan Machinery Federation Chairman's Prize at the 12th Robot Award. The system uses 4K stereo cameras and deep learning to locate the roughly 0.3mm tail vein and performs automated puncture and dosing, reducing needle-stick accidents and animal stress. About 20 units have been delivered in Japan, with additional manufacturing confirmed.

Amazon releases Mitra-v2 tabular foundation model with scaled synthetic pretraining

Amazon introduced Mitra-v2, a second-generation tabular foundation model for classification and regression, released with fine-tuned models and inference and fine-tuning code under the Apache-2.0 license on Hugging Face. It is pretrained on synthetic tables with 10 times as many rows and roughly three times as many columns as Mitra-v1, using a new hybrid SCM prior and hybrid optimizer while keeping the Transformer architecture unchanged. On TabArena, a public benchmark of 51 real-world datasets, Mitra-v2 leads the single-model field, beats Mitra-v1 on 32 of the 33 datasets both run natively, and finishes all 51 within the one-hour budget; fine-tuned Mitra-v2 also ranks first on ScoringBench.

Google explains how it ships Agent Skills like products with CI gates and an AI review agent

Google Agent Skills now hosts over 170 skills from teams across Google and has passed 21,000 GitHub stars, up from 15,000, and its maintainers describe the pipeline every change must clear. Each pull request passes six automated gates, including structural conformance, linters, semantic versioning, evaluation suite validation, link checks and an AI review agent, before a human subject matter expert approves it. The post also shares lessons such as atomic evaluation expectations, generated index files and running cheap deterministic checks before expensive LLM checks.

DeepMind unveils Gemini Robotics 2.5 and open safety benchmark ASIMOV-jailbreak

Google DeepMind revealed Gemini Robotics 2.5, a new version of its vision-language-action model that generates robot actions, saying it is much better at tasks requiring high dexterity. The model was evaluated across more than 200 activities, including serving food with tongs and using a pipette, and Apptronik's Apollo 2 humanoid robot running it can now tie a bow with its five-fingered hands. DeepMind also introduced an open source safety benchmark, ASIMOV-jailbreak, as it prepares for robots to operate alongside humans, and said some Gemini robots did actual work in Mercedes-Benz factories.

Software Correctness & Supply Chain Security: A Conversation with Sean Allen

The Pragmatic Engineer interviews Sean Allen, a distinguished engineer at Antithesis and core contributor to the Pony language, on software correctness and supply chain security. Allen argues that strong type systems in the ML language family catch more errors at compile time than ALGOL-family languages, and that manual testing is the worst way to ensure correctness. He also says supply chain attacks have no single simple fix, since robustly defended languages like 'E' are unpopular while popular languages assume a trustworthy ecosystem.

Sakana AI Appoints Former NSA Director Michael Rogers and Ex-CIA Chief of Station Tom Moran as Senior Advisors

Sakana AI has appointed retired U.S. Navy Admiral Michael Rogers, former NSA Director and Commander of U.S. Cyber Command, and Tom Moran, a former CIA Chief of Station, as Senior Advisors. They will advise the Tokyo-based company on strengthening defense capabilities and cybersecurity. Rogers served as NSA Director from 2014 to 2018, while Moran spent nearly 30 years at the CIA and served six times as Chief of Station.

LiveKit Portal for ROS 2 released: bridging ROS graphs over WebRTC

LiveKit released LiveKit Portal for ROS 2, a standalone ROS 2 node that connects a ROS graph to a LiveKit room so ROS and non-ROS participants can exchange topics, service calls, and video over WebRTC without exposing DDS across networks. It supports four data paths—topics via DataTracks, services via RPC, images as VideoTracks, and direct video sources—with YAML rules for direction, rate limits, and schema encoding. A demo offloads stereo SLAM and scene reconstruction from a Jetson Orin Nano rover to a desktop RTX 5090.

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Gary Marcus urges investors to reject Anthropic's IPO

Gary Marcus argues against Anthropic's IPO, citing its reported target valuation of up to $1.4 trillion against a company that has never made a profit and carries nearly $900 billion in future liabilities. He points to Anthropic's amended S-1, which warns that costs will rise and losses will continue, and to revenue growth slowing from 147% in Q2 to 47% in Q3, as evidence that the trillion-dollar projections built on tokenmaxxing no longer hold.

Claude Code and Codex Guardrails Hit Users Reverse Engineering Their Own Devices

Users of Anthropic's Claude Code and OpenAI's Codex are hitting safety checks, warnings or account restrictions when using the tools for AI-powered reverse engineering, with one X user reporting an OpenAI ban for "cyber abuse" after decompiling Samsung TVs. A Reddit post in r/ClaudeCode titled "The Dream is dead" and reports in the Reverse Engineer Anything Discord describe Claude refusing to decompile, while the Decomp.wtf project has shut down. OpenAI engineer Tarun Gogineni said there is no prohibition against reverse engineering with Codex and that the blocks are mostly accidental and being fixed, but practitioners say they are moving toward open weight, local and uncensored models.