2026-11-05 的 AI 资讯

Apple is reportedly cutting budgets for its internal AI usage

The company is said to be significantly dropping the amount it's spending on AI for its engineering teams.

After the midterms, a bigger clash over data centers could be coming

Data center opposition crossed party lines in Tuesday’s midterms.

American Voters Overwhelmingly Reject AI Data Centers

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You'll need nerves of steel to work with AI agents

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Nvidia store pulls RTX 5080 following RTX 5090 removal, prices rise to 2.2X MSRP

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AI PACs spent millions trying to shape Congress — here’s how they fared

AI industry PACs spent millions influencing the 2026 midterms, with mixed results. Political groups are already looking toward the next election cycle.

Qualcomm is betting big on data centers as smartphone sales sink

With smartphone sales tanking by around 20 percent compared to 2025, Qualcomm is looking to data centers to help boost its bottom line. During its Q4 2026 earnings call, the company laid out its plans to make a splash in the AI data center business, through partnerships with companies like Amazon and Meta announced earlier […]

Nothing CEO says company’s mysterious AI-first device is dropping next month

While it's not yet clear what kind of product the smartphone startup is cooking up, Nothing's CEO said the product is designed to leverage AI for productivity gains.

Almost no one uses AI agents to book their Uber, company says

During its busiest week last quarter, Uber said only four people booked a ride using an AI agent.

17 better ways Elon Musk could have wasted $446 million

One of the basic problems of spending too much time on social media is that you are cooking your brain by reading posts from a pack of attention-seeking lunatics. If your social media of choice is the site formerly known as Twitter, and it is your main source of contact with the outside world, you […]

Don't Call It a Decision Model

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OpenAI is already trying to shape the 2028 election

OpenAI’s Chris Lehane wants AI to define the 2028 election, proposing a new social contract that could benefit Americans while also advancing the AI giant’s own business interests.

Meta acquires AI coding startup Conductor

The startup allows software engineers to deploy teams of agents to work on various aspects of a project simultaneously.

Gemini for Home now plugs into AT&T’s smart security system

AT&T's smart home security system now integrates with Gemini for Home. The company says its Connected Life system is the "first" home security product to integrate with Google Home Premium, enabling a bunch of Gemini-powered features that can summarize home events, search your video history, and more. With the update, Gemini for Home can provide […]

Qualcomm Cloud AI 100 Ultra – 150W AI Accelerator Card with 128GB at 548GB/s

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Open source AI is booming. Hugging Face explains who profits.

Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value? And with Chinese open models gaining ground, can American players keep up? On this episode of […]

DuckDuckGo pitches itself to schools amid backlash over Google’s AI policy

DuckDuckGo is courting schools frustrated by Google's AI restrictions, pointing educators to its search engine and options to disable AI features.

Ripple-65B Preview: U.S. Open-Weight SOTA on Agentic Coding

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Building on open source AI? Hugging Face’s policy chief on the costs, risks, and trade-offs

Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value? And with Chinese open models gaining ground, can American players keep up? On this episode of […]

Nothing teases a screen-free AI device ahead of launch next month

Nothing CEO Carl Pei said in a post on X that the company's launching its first AI device in December. That's just a little over a year after Pei announced plans for "AI-native" devices and an AI operating system. He didn't give away much about what exactly the new device is, only that one feature […]

My therapist thinks I should chuck the Amazon Bee Frontier out a window

This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Opt in for Optimizer here. "How does that make you feel?" I get asked this a lot in therapy. Plenty of life events, big and […]

ChatGPT will now make you animated GIFs

ChatGPT can now create GIFs using a prompt or a photo uploaded to the AI chatbot. The update, which is rolling out alongside OpenAI's new Images 2.6 model, allows you to adjust the GIF's animation speed, edit individual frames, and share it with others. Before this change, ChatGPT couldn't natively generate GIFs in a single […]

Launch HN: Kino AI (YC S23) – AI media manager and video editor

Hi HN! I'm Luke from Kino ( https://kino.ai ). Kino lets you make great videos with your agents and your teammates. Storage of footage and assets, a rich video editor, and review links for teammates are all bundled into one. Your colleagues and Codex / Claude Code can work on the same timeline with review notes and footage all in one place. See a basic overview at https://kino.ai/walkthrough-video

Progress on provable inference for large language models

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I tried Apple’s Siri Recaps. They’re surprisingly useful — and a little unsettling

Apple's AI-powered Siri Recaps won me over in just one day, despite my privacy reservations. But there's still room for improvement.

Google faces backlash for plan that would turn off Search for schools that restrict AI

Politicians on the left, like NYC mayor Zohran Mamdani and former FTC chair Lina Khan, accused Google of acting as an unregulated monopoly.

Data centers lost the midterms

Data center developers are poised to face a more restrictive building environment after voters across the country voted in candidates who favor moratoriums and ballot measures that put more obstacles on their expansion, delivering a stinging blow to a central pillar of the AI industry. Of voters polled by NBC News on Election Day, 76 […]

Uber only fulfilled 4 rides from AI agents last quarter

AI agents won't be stealing Uber's lunch any time soon. Only four rides were arranged by third-party AI agents during the third quarter of 2026, Uber executives disclosed during an earnings call this morning. The volume of Uber Eats orders fulfilled by AI agents was a little higher, with the company recording "around 500" during […]

Kimi K3.1 Pro model weights are out

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YC's Garry Tan uses AI agents so much, he spends up to $200K a year on tokens

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OpenAI to acquire Pierre Computer Company

https://twitter.com/pierrecomputer/status/211799903617518818...

Sam Altman addresses RAM comments: People should ‘put as much as they want in their computers’

OpenAI CEO Sam Altman spent election night defending his position on PC RAM purchases. He changed his name on X to "Ram Altman" in response to another user's comment, saying, "i actually do want the world to have tons of memory and people to put as much as they want in their computers, and it […]

Ask HN: What's your current AI agentic setup?

I'm curious how people on HN are using AI day to day, and came up with a list of questions I thought could be interesting to know. No need to answer every question of course, just wanted to get a gut feel how people are using AI. 1) What AI subscriptions are you personally paying for? (Claude, ChatGPT/Codex, Cursor, etc) - Which tiers? - Have you purchased multiple subscriptions from the same prov

TechCrunch Founder Summit 2026: Doors open at 9 a.m. ET in Boston

Today is the day to join TechCrunch Founder Summit 2026 in Boston's SoWa Power Station. Register now to join this founder-focused conference today.

Google hasn’t figured out how to make AI pay like its search engine

Search queries are growing at their fastest rate in five years, Google parent Alphabet said in its earnings report last week. However, Google's Search revenue growth slowed to 12 percent year over year in the third quarter, down from roughly 17 percent in the previous quarter. Meanwhile, growth in paid clicks - clicks on ads […]

AI is forcing us to pay off 40 years of technical debt

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Tell HN: Gemini trains on chat history, even for subscribers (personal accounts)

If you have a personal Google AI subscription, all your saved chat history in Gemini can be used for training and there is no way to opt out unless you turn off chat history or use temporary chat sessions. These chat transcripts may even be read by human reviewers. Although Google claims to disconnect them from your account when human-reviewed, they explicitly warn not to enter confidential inform

Nvidia RTX Spark encrypted firmware slows inference speed to 35% on Linux

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A thousand fewer paths to root

OpenAI built an autonomous pipeline that found, validated, and generated patches for 948 local privilege-escalation vulnerabilities in the Linux kernel.

Daybreak Red is now available in AWS GovCloud (US-East)

Daybreak Red brings GPT-5.6 Cyber to approved customers in AWS GovCloud (US-East) through Amazon Bedrock for authorized cybersecurity work.

Introducing Images 2.6

Images 2.6 brings faster image generation, GIF creation, more precise editing, and new API controls across ChatGPT, Codex, and the API.

DevRev delivers autonomous self-service with GPT-6.1 Sol

DevRev uses GPT-6.1 Sol to power Computer and Operator, balancing reasoning, speed, and cost for enterprise service.

Anthropic is working on a system to prove AI models’ identity

Called FlashProve, the system would let anyone check that an AI response really came from the model it claims to be from.

Data centers are turning to old jet engines as the wait for power grows

The years-long wait for access to the grid and new turbines is causing data center builders to turn to an unusual, less-efficient and less environmentally friendly solution: once-discarded jet engines.

DreamX: Video Diffusion Model is a Universal Latent Action Learner

Learning a universal action representation from video requires modeling dynamics that are consistent across different executions of the same action yet invariant to changes in embodiment and appearance. Existing latent action models infer actions from visual transitions, but their representations often entangle the underlying action with irrelevant visual variations, limiting transfer across embod

From Autonomous Agents to Cognitive Symbionts: Toward AI-Augmented Human Intelligence

For a decade, progress in artificial intelligence has been measured by how much a machine can do on its own. Large foundation models now write code and run multistep tasks, and personal agents act on a person's behalf. Yet people still forget what they once knew, miss what they are not looking at, fail to find the right words, and face hard choices without the benefit of their own history, because

Aligning Language Models with General Preferences: An Empirical Study of Direct Nash Optimization

Direct Nash Optimization (DNO) aligns a language model to a general preference function by approximating the Nash equilibrium of a two-player preference game. Its practical variant, DNO-Prct, iterates on-policy sampling, LLM-based rating of the samples together with a teacher's gold response, large-margin preference-pair selection and a DPO-style contrastive update. We re-implement DNO-Prct indepe

PolicyIK: High-Precision Inverse Kinematics for Robot Arms with Reinforcement Learning

Inverse kinematics (IK) converts end-effector pose commands into joint motion, and many vision-language-action (VLA) policies rely on it to act on a given arm and to transfer across embodiments. Precise IK remains laborious: redundancy and singularities complicate the inverse mapping, execution depends on hand-tuned controllers, and training data on physical robots are costly to collect. We presen

GUILD: Guided Iterative Data Collection for Imitation Learning

Imitation learning policies in robotics are trained on datasets collected through costly real-world teleoperation. Often, the data-collection process is unguided, relying on the teleoperator's intuition, resulting in data that contributes little to overall policy performance. Recent work has shown that curating such unguided datasets can substantially improve policy performance, but these approach

Suppressing Misaligned Behaviors in Language Models, Durably

Undesired model behaviors can emerge or re-emerge at any stage of training. Once observed, how effectively can we suppress them? To study this question, we first construct two model organisms--language models deliberately trained to exhibit a specific misalignment--that differ in what triggers the behavior. The narrow-trigger organism misbehaves only when the prompt contains a specific cue: it che

Reading Why: Born-Measured Attention with Exact Word Evidence on Light and Qubits

When a language model answers, we can usually only estimate why. We build a transformer in which every step is a Born measurement - attention $|\langle q|k\rangle|^4$ normalised over each row, a measured product in place of the feed-forward nonlinearity, and a Born readout. With its denominators held at their values for the input, each class probability is a polynomial in the word amplitudes, so i

Agnostic Learning by Imitating

Given a class of machine learning models and sample access to a data distribution with binary labels, which computational task is harder: training a discriminative model that distinguishes positive and negative labels as well as the best member of the class, or training a generative model whose outputs are indistinguishable from real data by all members of the class? We prove that these two fundam

Adversarial Speculative Reasoning Improves Long Horizon Agents

Speculative decoding has been treated purely as a systems optimization that speeds up large language model decoding without changing the model behavior. Under this view, the growing effort to train better draft models has been focused solely on acceptance rate. We argue that this view does not hold true for long-horizon agent reasoning. Measuring frontier open-weight models on complex agentic task

A Circuit for In-Context Learning

In-context learning (ICL) lets a pretrained language model perform a task specified by demonstrations in its prompt, with no parameter updates. With arbitrary labels the model must acquire a mapping it cannot have memorized, so the learning happens within a single forward pass. Prior work found candidate parts but not how they compose. We give the composition for few-shot sentence classification w

Weight-space programming for auditing clinical decision networks

Machine learning models in radiotherapy are commissioned by testing them on cases with known answers, which may not reveal a shortcut that the test cases share with the training data. Frontier language models have recently been reported to read and write the raw weights of small neural networks, an ability called weight-space programming. The purpose of this study was to determine whether such a m

MedPhysBench: A Benchmark for Evaluating Language Models on Medical Physics Calculations and Error Detection

Medical physicists turn a prescription into a delivered dose and check one another's calculations, because one error in a beam calibration or a monitor-unit (MU) calculation can affect every patient treated with it. MedPhysBench has ten seeded generators of calculation items in radiation therapy, diagnostic imaging, nuclear medicine and radiation protection, up to clinical tasks such as a TG-51 ca

A simple adaptive accelerated optimistic dual averaging method for unconstrained convex optimization in $p$-norm geometry

Efficient preconditioning plays an important role in large-scale first-order optimization. In this paper, we propose an adaptive accelerated optimistic dual averaging ($\text{A}^2$ODA) method for unconstrained convex optimization that adopts low-cost preconditioning based on $p$-norm geometry for $p\in[2,\infty]$. The method is line-search-free and employs a new stepsize selection technique based

CATF: A Manager-Worker Framework for Context-Aware Time-Series Forecasting

We study context-aware time-series forecasting, in which a single target variable is predicted from its own history and a set of contextual variables, such as weather and calendar information. As the context becomes more diverse, a single model struggles to capture all of its regimes, while ensemble learning and Mixture-of-Experts approaches rely on manual data partitioning or soft routing, which

PyRUA-DataFarm: LLM Agent as a Cost-Efficient Teleoperator for Real-Ready Robot Data

Teleoperation remains the default way to collect robot demonstrations, but every episode costs robot and operator time, and every new task starts from scratch. We ask whether a coding agent can take over the teleoperator's job. In our DataFarm, the agent receives a data request and one calibration episode of the robot in the target scene and rebuilds the task in simulation: it writes the scene, an

HARP: Training-Free Dual-Profile Agentic Communication for LLM-Based Recommendation

In LLM-based recommendation, memory acts as a user-level agent in a memory-augmented backbone. Yet users and items remain asymmetric: only the user is given a structured profile; it enters a bandwidth-limited reranker prompt; and it is frozen after warmup. We recast LLM-based recommendation as an agentic-communication process in four stages: BUILD a self-description, TRANSMIT it along the collabor