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November 12Thursday
  1. Databricks Blog58

    How Block uses Buzz and Databricks Unity Gateway to run collaborative AI agents

    Block built Buzz, an open source collaboration workspace where employees and AI agents work together in group discussions, focused conversations and one-on-one exchanges, and uses Databricks Unity Gateway as the model access layer. Employees can create agents, pick the model or coding harness behind each one, and select Databricks as their inference provider to reach frontier models from OpenAI, Anthropic and Google plus select open-weight models through a single integration. Block engineers are also experimenting with multi-agent setups where a more capable model coordinates agents running smaller, more efficient models, and have built an internal approach to benchmarking these agent teams.

  2. Gary Marcus · The Road to AI We Can Trust88

    Gary Marcus on Jensen Huang resigning from Nvidia

    Gary Marcus writes that Jensen Huang has resigned from Nvidia and been replaced for now by CFO Colette Kress, with the stock down 13% as of the opening bell. Marcus argues Huang's ties to Chinese AI and conflicts of interest left the company exposed to litigation and investigation, and warns that the circular financing he orchestrated across the AI industry could now collapse.

    Same event; the pick carries“NVIDIA Announces CEO Transition as Jensen Huang Resigns, Colette Kress Named Interim CEO”

  3. TechCrunch · AI88

    Nvidia CEO Jensen Huang resigns amid alleged Chinese spy affair as board names CFO Colette Kress interim CEO

    Nvidia confirmed in an SEC filing that its board accepted Jensen Huang's resignation on Wednesday, with CFO Colette Kress taking over as interim CEO while keeping her CFO duties. The move follows Huang's public admission of infidelity and reports that US officials believe Megaspeed executive Alice Huang, with whom he had a close relationship, is a Chinese spy; three Republican committee chairs had sought a closed-door briefing, and the New York Times reported a second affair with Nvidia VP Kimberly Powell, which Nvidia, Huang and Powell have not confirmed.

    Why it matters: A reverse-chronological timeline shows how a personal scandal involving Jensen Huang escalated into a board succession, a congressional inquiry and a national security probe of Nvidia chip flows.

  4. The Decoder91

    Jensen Huang resigns as Nvidia CEO amid espionage scandal; $1.4 trillion in market value lost

    Jensen Huang resigned as Nvidia's CEO, president and board member effective immediately on November 12, 2026, after the Wall Street Journal reported the board planned to fire him over two extramarital affairs, one with a suspected Chinese spy. Nvidia has lost roughly $1.4 trillion in market value since an October 29 New York Times report on possible ties to Chinese intelligence, and CFO Colette Kress is taking over on an interim basis. Harvey C. Jones becomes the first independent board chair, while Huang's departure leaves no clear succession plan and could unsettle the alliance and guarantee structure built around him.

    Same event; the pick carries“NVIDIA Announces CEO Transition as Jensen Huang Resigns, Colette Kress Named Interim CEO”

  5. The Verge · AI30

    I reviewed the $299 Apple HomeView, ask me anything

    The Verge senior smart home reviewer Jen Tuohy spent a week testing Apple's first smart display, the $299 HomeView, in both tabletop and wall-mounted versions across her kitchen, bedside table, office, coffee table, and entryway. She cooked with it, ran her smart home from it, took calls on it, and tested its new Siri AI capabilities, while her tech-averse husband became a big fan and her teenage daughter less so. Verge subscribers can submit questions in the comments, with answers starting today at 2PM ET / 11AM PT.

  6. NVIDIA Blog18

    Warhammer 40,000: Dawn of War IV Coming to GeForce NOW

    Warhammer 40,000: Dawn of War IV, developed by KING Art Games and published by Deep Silver, is coming to GeForce NOW when it launches on Steam Thursday, Dec. 3. The real-time strategy game features more than 70 campaign missions playable solo or in co-op, plus The Last Stand, Skirmish and multiplayer modes. NVIDIA DLSS 5 with 3D-Guided Neural Rendering is also coming to War Thunder in mid-November and Where Winds Meet on Monday, Nov. 23.

  7. The Verge · AI88

    Nvidia CEO Jensen Huang resigns amid spy and affair scandals, Colette Kress named interim CEO

    Nvidia's board accepted Jensen Huang's resignation as CEO, president and board member, effective immediately, after reports of two extramarital affairs, one with an executive at Singapore-based cloud provider Megaspeed who was allegedly passing information to China's Ministry of State Security.

    Same event; the pick carries“NVIDIA Announces CEO Transition as Jensen Huang Resigns, Colette Kress Named Interim CEO”

  8. The Decoder71

    ElevenLabs releases Scribe v3 and Scribe v3 Live speech-to-text models

    ElevenLabs released two speech-to-text models, Scribe v3 for pre-recorded audio and Scribe v3 Live for low-latency real-time use, both available through the ElevenAPI developer interface and the ElevenAgents platform. The company says Scribe v3 cuts word errors by about 25 percent versus its predecessor across 102 languages, and Scribe v3 Live uses conversational context to tell when a speaker has actually finished instead of relying on pause timers. Independent benchmarks from Artificial Analysis place Scribe v3 among the most accurate transcription models, trailing only an Alibaba preview model, but show it lagging on speed and priced at $3.33 per 1,000 minutes.

  9. NVIDIA Newsroom88

    NVIDIA Announces CEO Transition as Jensen Huang Resigns, Colette Kress Named Interim CEO

    NVIDIA's board announced that Jensen Huang has resigned as President, CEO and board member effective immediately, with Executive Vice President and CFO Colette Kress serving as Interim CEO while the board searches for a permanent successor. The board also appointed Harvey C. Jones, former CEO and Executive Chairman of Synopsys, as its first-ever Chair of the Board, and said it expects operations, customer commitments and product roadmap to continue without interruption. NVIDIA said it will report third-quarter fiscal 2027 results on November 17 as previously scheduled.

    Why it matters: NVIDIA's board names CFO Colette Kress as interim CEO after Jensen Huang's immediate resignation, with Harvey Jones becoming first board chair.

  10. TechCrunch · AI18

    Nine Korean Startups Compete at DETO 2026 for Disrupt 2027 Startup Battlefield 200 Spot

    Nine early-stage South Korean deep tech startups pitched at DETO 2026 in Seoul for a place in Disrupt 2027's Startup Battlefield 200, with all nine targeting U.S. expansion. Voinosis won with AI that analyzes speech patterns to screen brain health, claiming 88% accuracy in a 146-participant clinical study. The others span fintech, energy, semiconductors, and AI, including Ternell's T-SRAM memory and Testbank's Solve app.

  11. Gary Marcus · The Road to AI We Can Trust48

    Eli Lilly CEO Pushes Back on Dario Amodei's Medical Claims Ahead of Anthropic IPO

    Eli Lilly Chairman and CEO Dave Ricks has joined experts criticizing Anthropic CEO Dario Amodei's medical overpromises, made in a video tied to Anthropic's IPO launch. Amodei claimed AI could rapidly cure cancer and mental illness, drawing comparisons to Elizabeth Holmes; critics say the field lacks the data and cannot expedite clinical trials on that timeline.

  12. The Decoder71

    Google DeepMind releases AlphaGenome 2, shifting genomics AI from bulk tissue to single cell type resolution

    Google DeepMind has released AlphaGenome 2, a genomics model that predicts how DNA variants affect specific human cell types and finds nearly twice as many relevant gene changes as its predecessor. Trained on more than 107 million individual cell profiles from 68 tissues in humans and mice, it takes a cell's biological state as an extra input instead of predicting broadly across many tissues at once.

  13. Meta Newsroom · AI18

    Meta Signs Long-Term Purchase Agreements for Lower Carbon Cement, Steel, Trucking and Recycled Plastics

    Meta has signed a set of long-term purchase commitments covering cement, steel, trucking and recycled plastics to bring clean manufacturing to commercial scale in its data center supply chains. The deals include at least 180,000 tons of lower carbon cement from Sublime Systems, near-zero-emission steel from Sweden-based Stegra, an expanded zero-emission freight route with Nevoya along I-10 in California and Arizona, and 5,000 tons per year of recycled PET with MacroCycle Technologies.

  14. The Decoder58

    Australia proposes mandatory safety rules for frontier AI models, including independent audits

    Australia's government led by Prime Minister Anthony Albanese announced a law that would impose mandatory safety rules on frontier AI companies operating in the country for the first time. Frontier model makers would have to open their models to independent audits, maintain ongoing safety checks, publish safety frameworks and report security incidents to the government immediately, with a new oversight body working alongside the Australian AI Safety Institute to enforce compliance and issue steep penalties. The government said it is putting domestic guardrails in place before entering international negotiations, and more details will follow once consultations wrap up.

  15. OpenAI Alignment Blog58

    OpenAI uses automated red teaming to improve fuzzy robustness in GPT-6 Astra and Sol

    OpenAI researchers describe how automated red-teaming, using a GPT-5.6 Sol family reasoning model as attacker against GPT-5.4 and GPT-5.5 defenders, generated synthetic jailbreaks that were used as RL training data for GPT-6 Astra and Sol. On fixed jailbreaks from prior attacks against GPT-5.4 and 5.5, GPT-6 Astra answered 91.5% safely on cyber versus 59% for GPT-5.6 Sol, and it stayed more robust across all attacker budgets in an adaptive multiturn eval. OpenAI reports the robustness training did not raise refusals of benign tasks, citing a Pareto improvement on safety and helpfulness in the GPT-6 Astra system card.

  16. Latent Space75

    Google launches Gemini Decision 1 decision model and Decisions API

    Google released Gemini Decision 1, a calibrated multimodal decision model served through a new Decisions API that scores closed-set choices in a single pass instead of generating text token by token. It handles yes/no, multiple-choice and rubric scoring with up to 255 options, accepts text, image, audio, video and PDF inputs, supports up to 1,000 questions per request and 256K context, returns answers in 150–250 ms, and is priced at $0.10 per 1M input tokens with no output charge. Artificial Analysis scored it 66 on its Decision Index, tying Elephant 9B and Jev 1.14 while costing $345 per 1M tasks versus $103 for Drex Max.

  17. Latent Space58

    The Jev Revolution: How Engineers at Glean, UiPath and Workday Are Building With System One Models

    At the AI Engineer Code Summit, TypeSafe AI CEO Diogo Almeida argued that system one models such as Jev, which return structured choices, scores or probabilities rather than generated text, should be called directly from application code to automate tasks more reliably. Glean's Chinmay Goyal said Jev suits zero-shot flexibility because changing decision taxonomies do not require repeated fine-tuning, while UiPath showed Jev ranking document chunks through a tournament of calls that finished in under a second. Workday's Scott Roberts demoed an interface that fills in a time-off card as the user types, which he described as moving from predicting what you want to say to predicting what you want to do.

  18. Google AI · DEV42

    Remaking NetHack as a 3D Action RPG with Gemini 4 Carbon in Antigravity

    A developer used Gemini 4 Carbon in Google's Antigravity platform to remake the 1987 roguelike NetHack as a modern 3D action RPG, porting it to web technology and wasm. The build relied on the /swarm feature, which spawns subagents with separate contexts to review each other's output, plus a Blender MCP server for 3D asset generation. Gemini 4 Carbon is available through the Google AI Ultra plan.

  19. LangChain Blog40

    How LangChain's GTM Agent builds consistent, high-quality sales artifacts

    LangChain's internal GTM Agent generated 1,540 sales artifacts over 12 weeks, saving reps 337 hours on documents like account plans and proposal decks. 47% of deals with a sent artifact advanced to a later stage, versus 16% of matched deals without one, and 46% of artifacts were followed by a customer call within 14 days. The agent runs on the Deep Agents harness, whose sandbox, skills, memory, and scheduled runs are available in Managed Deep Agents.

  20. AWS Machine Learning Blog36

    Build autonomous AI agents with Amazon Bedrock and Spring AI

    AWS shows Java teams how to build autonomous AI agents using Spring AI and Amazon Bedrock's AgentCore, with a spring-ai-agentcore integration. Two reference systems are detailed: a single-agent travel assistant with tool calling and memory, and a multi-agent intelligent document processing platform with five specialist agents, a rules engine, and alerting. The stack requires JDK 21, Spring Boot 4.1 with Spring AI 2.0, and deploys via AgentCore runtime on ARM64 containers.

  21. Claude YouTube18

    Mariko Mori Uses Claude to Code Animation for "All That Shines" Retrospective

    Artist Mariko Mori used Claude to write code for a computer-generated animation shown as a new video installation in her retrospective "Mariko Mori: All That Shines." The work plays on a seven-meter-wide screen in the final gallery, where a horizon parts onto a world of radiant light. The exhibition runs October 31, 2026–March 28, 2027 at Mori Art Museum in Tokyo.

  22. LiveKit Blog55

    LiveKit launches Cloud API in open beta so coding agents can manage LiveKit Cloud

    LiveKit released the LiveKit Cloud API in open beta, letting coding agents create and configure projects, manage members and webhooks, and pull transcripts, logs, traces and recordings from agent calls. The API is a REST API that runs signed in as the user, with short-lived tokens checked against project roles and sensitive actions limited to project admins. In a test on LiveKit's docs assistant, a coding agent read 4,321 sessions from the past week and returned a ranked list of 8 issues after about 30 minutes. Session data requires Agent Observability, which is off by default for projects created through the API, and API requests are free but rate limited by plan.

  23. OpenRouter Announcements58

    OpenRouter compares self-hosted LLM and API costs with break-even load calculations

    OpenRouter published a break-even analysis showing when self-hosting an open-weight LLM costs less than calling it through an API, using per-provider prices as of October 8, 2026. At those prices, Qwen3.8 27B on one rented RTX 3090 at $0.50 an hour breaks even at 6 to 12% load, while DeepSeek V4.1 Flash on four H200s never beats the cheapest zero-data-retention endpoint. The post also notes that provider.zdr and the EU and US domains cover most privacy needs without self-hosting, and recommends running a steady base load locally while sending peaks to the API.

  24. vLLM Blog60

    vLLM adds day-0 support for Thinking Machines' Inkling 2 Small

    vLLM supports Thinking Machines' Inkling 2 Small on day 0, a multimodal text-and-vision MoE with 594B total and 17B active parameters and up to 1M tokens of context. The integration adds kernel fusion with PDL, sequence parallelism for prefill that cuts an 8K-token prefill step by 22% at TP4 and 26% at TP8, and a Gluon relative attention decode kernel that drops a batch-1 decode step at 100K context from 15.1 ms to 4.8 ms. vLLM reports up to 630 TPS/user at TP4 on GB200 with acceptance length 3.5, and also supports LoRA and RL via SkyRL.

    Why it matters: vLLM 在发布当天即支持 Inkling 2 Small,并给出内核融合、序列并行和 Gluon 解码内核的具体优化数据,可供部署大 MoE 模型的团队参考。

  25. OpenRouter Announcements58

    OpenRouter explains the self-correcting localization pipeline behind its 7 new languages

    OpenRouter launched beta localization in Simplified Chinese, Spanish, Brazilian Portuguese, German, French, Japanese and Korean, and detailed the self-correcting pipeline that keeps 16,918 English strings translated. The daily loop sends changed strings to GPT-6.1 Sol in batches of up to 40, has code reject broken placeholders and glossary violations, then uses a second call to the same model as a verifier that returns errors by severity for retries. OpenRouter says a full retranslation of the catalog into 7 languages costs about $460, versus about $7,200 at Smartling's published machine translation rate.

  26. OpenRouter Announcements58

    OpenRouter 发布教程:如何阻止 AI Agent 陷入无限循环

    OpenRouter published a guide on stopping AI agents that get stuck retrying a failing tool, using four guards tested on six current models. With doomLoop detection enabled, all six models were blocked on their third identical tool call, and across 18 runs tool calls fell from 314 to 64 while spend dropped from $0.29 to $0.05. The guide adds a loopKey to normalize arguments, stopWhen caps on steps and cost, and a credit limit on the API key that returns a 402 with limit_source openrouter_key_limit.

  27. OpenRouter Announcements28

    How to Benchmark LLMs: A Code-Graded Guide from OpenRouter

    OpenRouter published a guide for benchmarking LLMs on your own application's inputs, grading outputs with code and comparing accuracy, billed cost and request time. On its 60 synthetic tasks, GPT-6.1 Sol passed 180/180 trials across three repeats, while DeepSeek had the lowest response cost at 157/180 passes. Agreement with the public ranking was weak, with a Spearman correlation of 0.109.

  28. vLLM Blog64

    vLLM-Omni benchmarks MiniMax H3-Image on Vera Rubin: 0.87s 4K generation and 6,115 images/hour

    vLLM-Omni brought MiniMax H3-Image to NVIDIA Vera Rubin and measured 0.87-second median latency for native 4096×4096 text-to-image on four GPUs, plus 6,115 images/hour in a separate throughput configuration. H3-Image is an open-weight text-to-image and editing model that pairs a Qwen3-VL encoder with a 33.1B dense DiT and an image VAE, handling both tasks in six sampling steps with up to 16 reference images. The team reports MXFP8 DiT GEMMs, Ulysses SP4, AdaLN caching and a VAE decoding change that cut decode time from 2.635s to 0.213s, and lists recipes for AMD, Intel, Huawei Ascend and Moore Threads hardware.

    Why it matters: vLLM-Omni's benchmark shows MiniMax H3-Image running on Vera Rubin at subsecond 4K latency, with per-hardware configurations and a cost model for serving economics.

  29. vLLM Blog72

    vLLM serves DeepSeek-V4.1-Flash on Vera Rubin NVL72 at 58x GB300 NVL72 throughput

    vLLM reports serving DeepSeek-V4.1-Flash on a single NVIDIA Vera Rubin NVL72 rack at 1.7M tokens/s per GPU with 387 tokens/s per user, 58x the GB300 NVL72, peaking at 2.52M tokens/s and 1,810 tokens/s for a single user. The gains come from kernels rebuilt for Rubin's split memory domains and FP4 tensor cores, a specialized TP8 decode path, and rack-wide KV and Engram pools shared over NVLink. With prefixes pooled across the rack and Dynamo workload-aware routing, the prefix hit rate holds at 96.5-97% even at high concurrency.

    Why it matters: vLLM's third DeepSeek-V4.1-Flash post details how Rubin-specific kernels and rack-wide memory pooling lift throughput 58x over GB300 NVL72, offering a concrete reference for large-scale serving optimization.

  30. Apple Machine Learning Research38

    Theoretical Limits of Language Model Alignment

    Researchers from Apple Machine Learning Research derive the information-theoretic limits of KL-regularized language model alignment, giving a closed-form expression for maximum expected reward gain under a fixed KL budget that is governed by a Jeffreys divergence term rather than the √KL used in prior analyses. They show the gap between ideal and proxy alignment (reward hacking) grows with reward error and shrinking KL penalties, and prove reward ensembling mitigates it. On safety and summarization tasks, best-of-N closely approaches the theoretical limit while PPO and GRPO remain substantially suboptimal.

  31. Hugging Face Blog36

    Hugging Face Releases Fine-Tuning Guide and Scripts for TRELLIS.2 3D Generation

    Hugging Face published fine-tuning scripts and containers for TRELLIS.2, a 3D generation model, runnable locally or on Hugging Face Jobs. The guide uses LoRA adapters via the PEFT library on only the sparse-structure flow DiT and shape flow DiT, leaving the material stage frozen. On a 188-object footwear subset of the GSO dataset, the pretrained model often rendered incorrect soles, which the LoRA fine-tune targets.

  32. Gary Marcus · The Road to AI We Can Trust83

    Report: Nvidia reportedly preparing to fire Jensen Huang

    The Wall Street Journal reports that Nvidia is about to fire Jensen Huang, according to Gary Marcus. Marcus writes that the stock is already down in after-hours trading and that Huang's exit could unsettle the circular financing deals he has orchestrated, raising the question of whether Nvidia would still honor the billions it promised Anthropic in the IPO.

    Same event; the pick carries“Nvidia stock falls as board reportedly prepares to remove CEO Jensen Huang”

  33. AWS Machine Learning Blog36

    Running OpenAI Codex on Amazon Bedrock: Access Paths and Rollout Guide

    This post shows how to route OpenAI Codex model requests to Amazon Bedrock while reusing existing AWS identity, IAM, Regional, and observability practices. It recommends starting with Native AWS Access for a small least-privilege pilot, with AgentCore Gateway or an LLM Gateway as alternatives, and walks through IAM Identity Center sign-in plus a direct Bedrock Runtime check using GPT-5.6 Sol.

  34. AWS Machine Learning Blog34

    Semantic diffing of formal policies with anti-unification

    An open source engine computes semantic diffs of formal policies using anti-unification over an e-graph, showing shared structure once and keeping both versions of each differing part. It targets autoformalization outputs in SMT-LIB, Cedar, Dogwood, OpenShell policies and CEL, where an LLM writes the artifact but plays no part in computing the diff.