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arXiv cs.LGResearch

AttnFuse: A Composable DSL for Compiling Attentions to Fused GPU Kernels

arXiv:2609.13612v1 Announce Type: new Abstract: Modern AI systems are built on the Transformer architecture, whose core operation, attention, accounts for the majority of computation and memory cost. Researchers continually propose new attention variants to improve quality, efficiency, or context length, but each variant currently requires expert-written GPU code to run at usable speeds. PyTorch's recent flex\_attention lets researchers describe custom attention patterns in Python and compile th

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arXiv cs.LGResearch

FlowTSFM: Turning Encoder Depth into Quantile Transport

arXiv:2609.13640v1 Announce Type: new Abstract: Encoder-based time series foundation models (TSFMs) typically rely on deep stacks of independently parameterized Transformer layers, where only the final forecast is supervised and intermediate representations have no explicit predictive role. We introduce FlowTSFM, an encoder architecture that interprets depth as a recurrent transport process: a single Transformer block is iteratively applied with shared parameters, while a quantile-flow objective

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arXiv cs.LGResearch

When Compliance Data Masquerades as Evaluation: Measurement Validity for Deployed AI Systems

arXiv:2609.13642v1 Announce Type: new Abstract: We argue that a recurring failure in the evaluation of deployed AI systems occurs when data collected for operational monitoring or regulatory compliance are interpreted as if they were designed for comparative evaluation. Automated driving provides a concrete example of this problem. U.S. disengagement and crash-reporting regimes produce valuable operational evidence, but differences in reporting scope, exposure, deployment domain, event capture,

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arXiv cs.LGResearch

Online Bayesian Node Classification on Inductive Graphs under Distribution Shift

arXiv:2609.13655v1 Announce Type: new Abstract: On evolving graphs, node classifiers must satisfy two key requirements: inductive generalization to newly arriving nodes under distribution shift and calibrated uncertainty for safety-sensitive applications. Standard graph neural networks (GNNs) are typically trained once and address neither requirement. We adapt the Bayesian last-layer (BLL) model by placing random last-layer parameters on top of a deterministic GNN encoder for uncertainty quantif

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Hacker News LLMLLMs

Show HN: Sunk Cost – How long until a local LLM rig pays for itself?

I kept hearing "just buy a Mac and run models locally, it pays for itself" and wanted to check. Sunk Cost takes a machine, a model and how many tokens you use a day, and works out how long the hardware takes to pay back against renting the same model by the token. Obviously there are other reasons to buy your own hardware aside from just saving money on llms but this is just looking at it from a raw cost saving perspective. If you have any ideas on how I can make this more helpful lmk! Comments

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Stripe Blog

What Stripe data shows about fraud at AI startups

We analyzed attempted fraud rates and customer abuse patterns on Stripe over the past year and found that AI companies faced 4.3x more fraud attempts than startups overall in Q3 2025.

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What Stripe data shows about fraud at AI startups
Vercel Blog

Gemini 3.8 Live models now available on AI Gateway

Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking from Google are now available on AI Gateway. Both models support real-time spoken interactions for voice assistants, conversational experiences, and applications that respond through audio. google/gemini-3.8-live supports real-time audio, visual grounding, automatic switching across 97 languages, and background tool calls while the conversation continues. google/gemini-3.8-live-extended-thinking adds multi-step reasoning that runs in parallel

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Product Hunt — The best new products, every day

Convo

<p> The AI copilot for people who sell </p> <p> <a href="https://www.producthunt.com/products/convo-7?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1250753?app_id=339">Link</a> </p>

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Product Hunt — The best new products, every day

Ari by Ariso

<p> AI bar raiser for the most ambitious teams </p> <p> <a href="https://www.producthunt.com/products/ariso?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1250743?app_id=339">Link</a> </p>

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The Verge

Is Big Tech’s AI slowdown a safety pact or a cartel?

When OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, Google DeepMind cofounder Demis Hassabis, and SpaceX head Elon Musk loosely agreed over the weekend to slow down AI development, skeptics spotted an ulterior motive immediately. The AI titans had declared that their aim was to "pace the frontier," signing on at least partially to a […]

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Is Big Tech’s AI slowdown a safety pact or a cartel?
The Verge

Apple Home’s new security camera features cost as much as $60 a month

With the public release of iOS 27 and tvOS 27, Apple Home is getting an injection of Apple Intelligence - but you'll have to pay more for it. Apple Intelligence for Home brings AI-powered video summaries to HomeKit Secure Video, so you can get short text descriptions of who and what compatible security cameras saw, […]

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Apple Home’s new security camera features cost as much as $60 a month
The Guardian AIBusiness

AI-linked stocks slide after tech bosses call for slowdown in ‘reckless’ development

<p>Donald Trump dismisses attempts to increase controls on artificial intelligence as ‘sick conspiracy’ </p><p><a href="https://www.theguardian.com/technology/artificialintelligenceai">AI</a>-linked stocks tumbled on Monday after the bosses of Anthropic, OpenAI and SpaceX called for a <a href="https://www.theguardian.com/technology/2026/sep/13/openai-sam-altman-elon-musk-back-anthropic-calls-brakes-ai-development">slowdown in AI “reckless” development</a>, citing fears the technology could soon

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AI-linked stocks slide after tech bosses call for slowdown in ‘reckless’ development
The Robot ReportRobotics

Why RaaS needs more than a subscription model

At RoboBusiness 2026, a panel of robotics business leaders will examine the practical playbook behind Robots-as-a-Service or RaaS offerings. The post Why RaaS needs more than a subscription model appeared first on The Robot Report .

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Why RaaS needs more than a subscription model
Vercel Blog

AI SDK harness layer now supports native subscription authentication

The AI SDK harness layer now supports authenticating harnesses through their native subscriptions, where the underlying harness supports them. The harness layer runs different coding agents through the same HarnessAgent interface, so you can switch agents without changing your application code. No code changes or new settings are required. The direct authentication mode uses explicit provider environment credentials when they are present, and otherwise a native subscription found on the host. Th

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AWS Machine Learning Blog

Abnormal AI: Amazon Bedrock AgentCore for agentic email security at scale

Learn how Abnormal AI deployed Amazon Bedrock AgentCore Code Interpreter as an ephemeral compute scratch pad for the agents behind its real-time email threat detection at billion-message scale, plus the sandbox design decisions and practical lessons for builders deploying Code Interpreter in production.

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The Verge

What execs and politicians are saying about slowing down AI development

Dario Amodei kicked off a flood of statements over the past few days about AI safety by publishing a long essay titled "We Must Pace the Frontier" detailing why AI development should be slowed down. Other AI leaders and politicians are speaking out in favor of or opposing his points, and we've compiled some of […]

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What execs and politicians are saying about slowing down AI development
Simon WillisonLLMs

The contagion of fear

<p><strong><a href="https://bcantrill.dtrace.org/2026/09/13/the-contagion-of-fear/">The contagion of fear</a></strong></p> Bryan Cantrill responds to the <a href="https://x.com/hilbertspaess/status/2097476203863224394">tweet by former Anthropic employee Jacob Coxon</a> confirming that many Anthropic researchers believe AI "could kill us all by the end of the decade".</p> <p>Bryan shares a story of his own youthful mistakes causing unjustified panic among less technical peers, and warns against d

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AWS Machine Learning Blog

Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore

Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a portal, configuring GitHub and Slack authorization code grant targets, and the end-user consent flow, and shows how to review activity in AWS CloudTrail.

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Towards Data Science - Medium

Your Model’s MSE Is Lying to You

First in a series on probabilistic forecasting for physical signals. Next: what happens when you roll the forecast forward more than one step. The post Your Model’s MSE Is Lying to You appeared first on Towards Data Science .

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