2026-10-30 的 AI 资讯

You don’t need to believe in a god to get a religious exemption from using AI at work

David Durman, a University of Kentucky administrator, recently earned a religious exemption from using AI in the workplace.

AWS will be a $1T business, Jassy says. But first, it will spend big.

Amazon wants to be the king of AI cloud computing and become the first $1 trillion revenue business. But to do that it will have to continue on its capex spending spree, its CEO said Thursday.

Show HN: I Turned DOOM into a Transformer

Instead of trying to run DOOM on things, I have instead decided to use DOOM (many, many, many doom games actually) to create a transformer. For a lot of the math required I essentially had to use DOOM game mechanics and voodoo dolls (DOOM is turing complete btw) and exchange them with the actual operations, essentially creating an alternative to NumPy (a 65000x slower one). Thus, I am proud to pre

Open-weight AI models can exploit the patch gap

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Google value plunges by $500B as AI fears rattle Wall Street

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Proton goes all in on using AI

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We ran AI agent swarms in Minecraft and Mindustry

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A tiny world model running games on a Raspberry Pi Pico 2 W

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As search traffic dries up, Reddit announces it’s shifting to a logged-in experience

As AI transforms how people find information online, Reddit is rethinking its open-web roots to protect its audience and business.

Rivian expands joint venture with VW to include AI assistant

Rivian doesn't disclose if the value of its $5.8 billion joint venture will expand as a result.

OpenAI-backed Thrive Holdings acquires ADT

OpenAI-backed Thrive Holdings is buying ADT in a $15.3 billion deal, with plans to bring AI to the home security business.

IgE disruptor for food allergy with Claude-enabled antibody design [pdf]

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Meta quietly launches an AI fashion app called Style Sketch

The app connects to Instagram to build a virtual closet from photos you’ve already shared, or lets you add items manually by snapping a photo, recording a quick video, or uploading images from your camera roll.

You can generate and edit Google Docs files directly in Gemini chats now

Now you can generate, preview, and edit PDFs, Google Docs, Google Sheets, slide decks, Markdown files, TXT files, and code directly within Google Gemini. The new file editing capabilities are available starting today for all Gemini users, and while PDF previews/editing works on both the web and mobile, all other file formats are only in […]

Granola crunches up a dictation feature to compete with Wispr

Uno reverse! After Wispr added meeting notes to its dictation app, Granola is adding dictation to its meeting notetaker. The voice AI wars are getting interesting.

Alleged Chinese spy had 'close relationship' with Nvidia boss Jensen Huang

https://www.nytimes.com/2026/10/29/us/politics/nvidia-china-... , https://archive.ph/K7bih

Claude Duet is the first personal-assistant-type harness that feels useful

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An updated Model Spec for more capable and beneficial AI

OpenAI’s updated Model Spec outlines five core values to guide more capable AI toward sound judgment, human agency, and faithfulness to human intent.

Mistral releases weights for its trillion-parameter AI model, targeting cybersecurity

Mistral says its new model can afford organizations a kind of control over its cyber defenses that closed models can't.

US investigated Chinese spy plot aimed at Nvidia CEO

A top executive of a Singapore AI cloud company that was accused of illegally selling Nvidia chips to China could also have been a Chinese spy, sources have told the New York Times.

Ex-Palantir execs launch Dream with $17M from a16z to build AI world models for construction

Dream is grounded in real physics and construction standards. Just as LLMs learn from text, Dream's world model is trained on more than 100 million square feet of building data gathered from permit archives across the United States.

Microsoft’s AI future has fewer jobs

To anyone listening closely to what Microsoft CEO Satya Nadella has been saying over the past couple of years, this week felt like the clearest sign yet that AI is about to fundamentally change the size of Microsoft's workforce. Microsoft is now offering voluntary buyouts to around 60,000 employees across the US, UK, Canada, and […]

Launch HN: Simantic (YC F26) – Firmware Simulation for AI Agents

Hi HN, we're Ahnaf and Seungmin from Simantic ( https://simantic.com ). We are building the simulation layer that lets engineers and AI agents test and validate firmware without hardware. Before Simantic, we were ex-firmware engineers at companies like Neuralink and Tesla. We’ve worked on some of the coolest projects, like the Cybertruck and Roadster, back when they were still early prototypes. We

Zombie stats: Where the numbers AI quotes come from

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LLM Voice

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The NYT Cooking app is testing AI recipe modifications

The New York Times is testing a new AI feature for its Cooking app that helps users to modify recipes, and it has sparked some drama among users. Last Friday, NYT Cooking senior editor Genevieve Ko announced the feature, which can be used to recommend substitutions for ingredients and cooking equipment, scale recipes to any […]

Wabi, the AI agent that builds mini apps, now valued at $1.25B after latest round

On Thursday, AI app Wabi, now describing itself as a "personal agent," said it has raised $55 million at a $1.25 billion valuation.

We're releasing the weights of Mistral Large 4

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Anthropic is asking Wall Street to believe in AGI

Today on Decoder, I’m joined by Joey Brookhart, an analyst at the chip and AI research firm SemiAnalysis, to help me dig into the story inside the numbers of the Anthropic IPO filing — a document known as an S-1. Anthropic just filed its S-1 to go public on the Nasdaq, and it could start […]

Anthropic’s business plan: Build God or die trying

The Anthropic S-1 seems to have provided the financial justification for the company to spend as much as it possibly can on compute. If you are the kind of person who wonders if Anthropic is doing its level best to build a machine god while convincing Wall Street it's in the business of selling IT […]

Deepgram acquires Pipecat-maker Daily to bolster its voice AI infrastructure

With Pipecat, Deepgram will likely gain a deeper understanding of real-time voice and video infrastructure.

Amazon updates Alexa to help you manage shopping lists and subscriptions and update delivery instructions

The update allows you to use Alexa to create lists, register them, see what's on them, and add or edit items. You can also manage subscriptions.

AI has come for Arizona’s water

A hulking gray giant rises from the desert. Inside, engineers create the force behind our phones and computers and appliances, our streaming services and search engines and chatbots and vibe-coded apps and websites. The complex is simultaneously massive and squat, dwarfed by the mountains that surround it, and it is endless. I drive past one […]

How we detect frontier model misalignment

OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.

How Ropes & Gray is developing AI for transactional diligence

Ropes & Gray is developing AI for transactional diligence with OpenAI. Lawyers review grouped documents, summaries, and reports before advising clients.

Adam Mosseri says negativity around AI is ‘going to get worse’

Asked about AI and the trend of college students booing tech CEOs at graduation ceremonies, Instagram head Adam Mosseri acknowledged in an interview that a lot of people really don't like AI, and it's not just young people and creatives. Appearing on the Colin and Samir podcast to talk about the launch of widescreen and […]

Microsoft just shared Azure’s actual revenue in dollars: $33.2 billion

Microsoft has never disclosed Azure's quarterly revenue in dollars. But for the first time, we can see just how close it is getting to besting the biggest competitor in the market, AWS.

Google expands AI Search ads globally as core ad growth slows

The announcement came alongside parent company Alphabet's third-quarter earnings report, which saw revenue grow 25% year over year to $127.6 billion.

Akai is embracing vibe-coded mods with an open-source MPC

The MPC Sample Key isn't even formally announced yet, but Akai is already showing off what the modding community is cooking up through vibe coding. Akai has decided to embrace the explosion of hackers and custom firmware developers by giving them early access to the device, which will have open-source firmware. It will likely run […]

Google launches Gemini 4 Carbon with a ‘significant leap’ in cybersecurity

Google has released its latest frontier model, Gemini 4 Carbon, offering "significant gains" in coding, agentic tasks, and cybersecurity. In an announcement on Wednesday, Google highlights Carbon's top spot on the Artificial Analysis Intelligence Index (v5.0) benchmark, with Claude Opus 5.5 and GPT-6 Astra trailing behind. The new Gemini 4 Carbon model offers improvements over […]

Microsoft is ending Copilot support on smart TVs

Nearly two years after LG and Samsung announced at CES 2025 that their latest smart TVs would include access to Microsoft's Copilot, the company is ending support for the AI assistant's functionality on all TVs this year, according to a report by Windows Central. The news comes not from an official announcement from LG, Samsung, […]

Gemini 4 Carbon: Our next frontier model

OpenAI and ServiceNow expand partnership across enterprise workflows

OpenAI and ServiceNow expand their partnership to bring OpenAI models and agents into ServiceNow and ServiceNow workflows into ChatGPT and Codex.

The future of the firm

How AI might enter the org chart—beneath, beside, and between us.

Legora is building the agentic operating system for legal work

See how Legora uses OpenAI models, ChatGPT, and Codex to accelerate legal workflows, expand contract analysis, and free lawyers to focus on higher-value work.

Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction

Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings. We introduce Hexels: novel planar hexagonal surface elements with a first-order spatial color field for efficient 3D scene and 2D image representation. Hexels exploit locally planar regions with smoothly va

ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning

Vision-Language-Action (VLA) models have made substantial progress in robotic manipulation, but their generalization remains constrained by the diversity and coverage of action-labeled robot demonstrations. Human videos provide much broader behavioral and environmental experience, while learning from them faces a fundamental trade-off between scalable data and explicit action grounding. We introdu

When Should We Intervene at Test Time?

Test-time adaptation helps a deployed model respond to changing inputs, but the same intervention can rescue one batch and damage the next. Updating normalization statistics, for example, can improve corrupted images yet fail when a batch contains mostly one class. Average accuracy hides these failures and cannot tell a model when to use an intervention. Target labels can guide this decision, but

Heads of Security: Learned Attention Gates Improve Prompt Injection Robustness

We introduce Heads of Security (HoS), a prompt injection defense that enforces instruction-data separation via a small set of learned per-head attention gates. HoS learns how each head should redistribute attention between trusted and untrusted tokens, enabling models to reason over untrusted content without following injected instructions. We evaluate HoS on Llama-3.3-70B-Instruct and GPT-OSS-20B

Attention as Lattice Gauge Theory: Relations Interact Only Through Wilson Loops

Relations compose through the entity they share - Alice is Bob's mother and Bob is Carol's father, so Alice is Carol's grandmother - and the order matters, since a father's mother is not a mother's father; verifying a composed relation means closing the loop. We show that if each entity's coordinate frame may be rotated independently (per-entity frame freedom), three things follow. In the pure-gau

KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry

Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which generates efficient Fortran or C code but does not fit into the differentiable programming frameworks in which machine-learning models are developed. We present KPPax, a kinetic preprocessor that generates differentiable, just-in-time compiled, and vectorisable chemistry code in JAX fr

Pushing Dexterity and Safety for In-Hand Object Pose Reaching That Works Remarkably Well

Dexterous manipulation with multi-fingered hands is the next frontier of robotics, yet learned hand skills remain limited to simple grasps or basic repeated motions, such as rotating an object. As robots attempt more demanding in-hand maneuvers, safety, such as not dropping the object, becomes critical, yet it is rarely measured. We study in-hand object pose reaching, a task that demands diverse a

GEPA-Curator: Curated Learning for Self Improving Agents

Large Language Models (LLMs) are increasingly used in multi-turn agentic workloads that require sustained interaction with complex environments. Existing reflective prompt optimizers such as GEPA learn from failed rollouts, but agentic failures can also come from prompt weaknesses, harness limitations, stochastic execution, or noisy judges. We argue that such failures may not provide useful learni

Can LLMs Uncover Hidden Physical Laws through Free Exploration?

Scientific discovery often begins with an unexpected observation that prompts a new research question. In a world with altered physical laws, can large language models (LLMs) notice unexpected behavior, such as heavier objects falling more slowly, and discover the law through experiments without being told what to investigate? To evaluate this ability, we introduce LongChang, an automated framewor

Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis

We explore how to build performant large language model (LLM) tool-use agents that complete complex, multi-step tasks. Specifically, we study how data composition in synthetically generated tool-use environments affects the training of such agents. To do so, we propose the SynthAPI pipeline, which explicitly controls the diversity of generated environments along the axes of tools, tasks, and the d

MuonGS: Pretraining LLMs with Relaxed Weight-Norm Control

Weight decay and explicit weight-norm constraints improve optimizer performance in language model pretraining, yet a unified understanding of why such control helps and how much is needed remains incomplete. We analyze norm control in Muon over the entire training trajectory using the \emph{accumulated effective learning rate}, $C_T=\sum_{t<T}η_t/\|W_t\|_F$, where $η_t$ is the nominal learning rat

Multi-State Linear Attention with Generalized Second-Order Routing

Self-attention plays a key role in long-sequence modeling, but its quadratic time complexity fundamentally limits the scaling of Large Language Models. Recently, Multi-State Linear Attention (MSLA) mechanisms have been proposed to make sequence modeling more efficient by splitting the context into segments and compressing each in its own memory state. MSLA aggregates the information extracted from

Metacognitive Decoding: Efficient Inference for Diffusion Language Agents

Diffusion language models offer a promising path to efficient agents through parallel token generation. However, efficient interaction requires adapting both where computation is spent and how much text is generated. We introduce a metacognitive controller that guides diffusion generation according to the needs of the current response and the agent's interaction with the environment. It learns whe

What Improves During Pretraining? Tracking Knowledge Acquisition with Point-in-Time Models

Language models pretrained on web corpora collected over multiple years learn both general and domain-specific knowledge. How these different kinds of knowledge are learned as pretraining progresses remains unclear. Recent point-in-time models trained on web snapshots from different years provide a way to probe how knowledge prevalence varies over time. Using these models, we propose a temporal va

Rare, Relevant, and Still Wrong: How Memory Fails LLM Group Decisions

When an LLM group's discussion is compressed into a short memory for a final decision maker, what should the memory keep? Two natural heuristics keep the rarest claims or the claims relevant to the decision criteria. On hidden-profile tasks both look attractive, because how widely a fact is held is confounded with whether it helps. We introduce CrossProfile, a diagnostic benchmark of 60 templates