2026-10-29 的 AI 资讯

MicroZig to Adopt Strict No LLM / No AI Policy

Hacker News 热榜讨论帖（21 分，14 条评论）

New York Times adds more AI features to its Cooking app. Users aren't thrilled

Hacker News 热榜讨论帖（29 分，26 条评论）

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 […]

AI execs may be too out of touch to build for the general public

Hacker News 热榜讨论帖（14 分，3 条评论）

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.

Microsoft recorded $10 billion in revenue from OpenAI

Microsoft said it made $10 billion in revenue from commercial arrangements with OpenAI, including revenue-sharing payments, in the quarter ending September 30. It underscores the still-enormous financial dependency of the partnership.

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 […]

Microsoft hits 10 quarters of record-breaking revenue in a row

Whatever the future of AI might be, the current situation is still very good for Microsoft. The tech giant reported yet another record for quarterly revenue on Wednesday: $92.3 billion, a 19% increase over the year-ago quarter.

Leak Exposes 41,000 Homeland Security Workers–Including Undercover ICE Agents

Hacker News 热榜讨论帖（276 分，136 条评论）

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 […]

Anthropic just launched tools to show companies what their AI spending is buying

The frontier lab is lifting the curtain on how users spend money on its models ahead of a planned IPO.

Wiz’s CTO on PHP2Shell and the coming ‘vulnpocalypse’

The PHP scare may have faded from your feed, but the cleanup is far from over. Last week, two critical bugs in the open source language behind roughly 70% of websites left organizations scrambling to fix their systems, with some taking sites offline until the vulnerabilities could be patched. According to researchers who found the […]

The ‘Vulnpocalypse’ is coming for the internet’s aging code, says Wiz’s CTO

The PHP scare may have faded from your feed, but the cleanup is far from over. Last week, two critical bugs in the open source language behind roughly 70% of websites left organizations scrambling to fix their systems, with some taking sites offline until the vulnerabilities could be patched. According to researchers who found the […]

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

Hacker News 热榜讨论帖（804 分，661 条评论）

Gemini 4 Carbon: Our next frontier model

Chrome’s AI-powered Autofill can now dig through your Gmail to fill out forms

The autofill update lets Chrome pull flight confirmations, tracking info, order details, and other information from your inbox, with your permission.

As AI agents reshape the web, Google opens Gemini and Search to more apps

A new developer platform will let businesses bring their services to Google's AI experiences, potentially changing how consumers discover and use apps.

Chrome’s enhanced autofill can now pull info from Gmail to help you fill out forms

Following improvements made to Chrome's enhanced autofill last year that included your name, passport number, email address, and physical addresses sourced from your Google Accounts and services like Google Wallet, the feature is now expanding. Starting today, Chrome's enhanced autofill will use Gemini with Personal Intelligence to suggest information sourced from your Gmail, potentially saving […

Meta says it’ll probably delay its controversial new business terms again

Meta says it may push the implementation of its new business terms past November 20th as it faces backlash from publishers over concerns about AI training. In a post on X, Meta communications head Andy Stone said the company does "not plan to make policy changes without a full consultation with industry groups and leaders." […]

Dayjob: Tax – evaluating AI agents on 50 professional tax assignments

Hacker News 热榜讨论帖（203 分，126 条评论）

South Korea’s financial industry hit by fresh wave of cyberattacks

South Korea’s financial institutions have been hit by another wave of cyberattacks, highlighting the growing risk of AI-driven hacking in Asia.

Nvidia Nemotron 3.5 Transcribe: open ASR for 40 languages

Hacker News 热榜讨论帖（115 分，18 条评论）

Voice AI in vogue: Nvidia releases new open transcription model

Nvidia just released a free speech-to-text model that can transcribe up to 40 languages, but it only works on recordings, not live audio, so it’s a big step for meeting and medical transcription tools while still leaving real-time use to rivals like ElevenLabs.

xAI is buying out homeowners who promise not to sue over data center noise

A subsidiary of Elon Musk's xAI is offering to buy up homes in a Mississippi neighborhood, as long as residents don't join a lawsuit targeting the company's nearby data center and power plant, according to a report from The Guardian. A realtor going door-to-door in the Southaven neighborhood reportedly told one resident that xAI plans […]

The Agent SDK

Hacker News 热榜讨论帖（97 分，111 条评论）

Decompiling Games with AI: Virtueel Zoetermeer

Hacker News 热榜讨论帖（16 分，2 条评论）

Kentucky man becomes the first humanist granted religious exemption from AI

Hacker News 热榜讨论帖（430 分，472 条评论）

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.

7 days until TechCrunch Founder Summit: Save up to $100 on your pass before doors open

In just 7 days, TechCrunch Founder Summit takes over Boston’s SoWa Power Station on November 4. Your chance to save up to $100 on tickets is running out, and the opportunity to learn and connect directly with experienced founders, investors, and startup leaders is almost here.

Sleep framework: A new way for LLMs to retain knowledge in continual learning

Hacker News 热榜讨论帖（34 分，3 条评论）

Voters in Texas agree: They hate data centers

Ask Texas NAACP president Gary Bledsoe what it's been like to see data center developers descend upon Austin and its surrounding suburbs and he can rattle off project after project facing opposition from locals. There's the fight in Taylor over plans to build a data center at a site that's supposed to be a park. […]

Meta quietly launched an ‘AI pet journal’ app

Meta has launched a "tamagotchi-style" pet game called Waddle World, with virtual creatures that chat with users and create doodles to illustrate conversations. According to its Apple and Play Store listings, the "16-bit pet care game" is not really a game, but "a daily journal disguised as a pet." Users should talk, not type, with […]

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.

VCs will make billions on Anthropic’s IPO, but Amazon is set to make much (much) more

Massive note conversions reveal the true extent of Amazon's ownership in Anthropic.

Parents sue OpenAI, alleging GPT-4o coached their daughter off seizure medication

A family is suing OpenAI, saying ChatGPT coached their daughter to quietly taper off her seizure medication and keep it from her doctors before she died in February.

Researchers are getting tired of OpenAI gatekeeping its breakthroughs

On Monday, OpenAI announced impressive breakthroughs in mathematics, computer science, and physics, along with what the company says is an evolving approach to communicating its findings. But despite its apparent course correction, researchers who spoke to The Verge are growing increasingly tired of the company's antics. It has been a turbulent few months between OpenAI […]

Raspberry Pi Zero 3W and Pi 4 Model A spotted in device trees

Hacker News 热榜讨论帖（216 分，140 条评论）

Survival LLM: AI assistant and emergency library that runs on your own computer

Hacker News 热榜讨论帖（516 分，194 条评论）

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

VideoLVR: Latent Visual Reasoning over Grounded Video Evidence

Chain-of-thought reasoning has substantially advanced video understanding in multimodal large language models (MLLMs). However, language-based reasoning traces do not provide a reliable mechanism for models to revisit relevant visual evidence, leading to visual forgetting and impairing their ability to reason over video content. Existing approaches maintain visual grounding during reasoning in two

EnvSched: Environment-Aware Scheduling for Rollout-Efficient Agent Reinforcement Learning

As executable environments for language agents scale, generating and verifying their rollouts becomes increasingly expensive. Under finite rollout budgets, this raises an important question: can data management at the environment level make agentic reinforcement learning (RL) more efficient by organizing, evaluating, and scheduling task instances together with the environments that determine their

Beyond Answer Changes: Matched Same-Class Controls for Local Audio Evidence

For audio-language models, an answer change after a local sound-event edit can reflect a response to the event's class, sensitivity to waveform rewriting, or both. We compare matched same-class and different-class replacements of a queried event. Both use the same interval, level estimate, donor fitting, and crossfade, while the same-class replacement preserves the correct answer. Across 600 synth

MoI-Bench: A Benchmark for Image Generation and Editing on Mobile Devices

Developing on-device image models requires considering practical user needs, task types and device resource constraints. However, existing benchmarks provide limited guidance on identifying capability gaps between on-device models and server-side models. We introduce MoI-Bench, a benchmark grounded in mobile user needs, comprising 64 subtasks and 1150 samples. It defines 16 operations, such as rem