发布日期：2026-09-16
收录条目：20
1. AI and data centers are incredibly unpopular in every poll
- 来源：The Verge AI
- 发布时间：2026-09-15 23:34 UTC
- 链接：https://www.theverge.com/ai-artificial-intelligence/995917/data-center-nyt-midterm-poll-september
摘要：Poll data released Tuesday by the New York Times and Siena University confirms what we've already been seeing, and what politicians are responding to - AI and data centers are incredibly unpopular. Asked if they support
2. Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend
- 来源：MarkTechPost
- 发布时间：2026-09-15 21:37 UTC
- 链接：https://www.marktechpost.com/2026/09/15/inside-nvidias-cudnn-graph-api-fusion-autotuning-and-plan-reuse-with-cudnn-frontend/
摘要：Learn how to leverage NVIDIA’s cuDNN Frontend Graph API to build custom kernel fusions, autotuning engine configurations, FP8-style epilogues, scaled dot-product attention, dynamic shapes, and CUDA graph captures. This p
3. Google Releases Gemini 3.8 Live and 3.8 Live Extended Thinking for Production Grade Voice Agents
- 来源：MarkTechPost
- 发布时间：2026-09-15 20:53 UTC
- 链接：https://www.marktechpost.com/2026/09/15/google-releases-gemini-3-8-live-and-3-8-live-extended-thinking-for-production-grade-voice-agents/
摘要：Google has released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, its most advanced live dialogue models to date. The models execute tools and API calls in the background while the conversation keeps flowing, pr
4. Optimizing cost and latency with Amazon Bedrock prompt caching
- 来源：AWS ML Blog
- 发布时间：2026-09-15 16:18 UTC
- 链接：https://aws.amazon.com/blogs/machine-learning/optimizing-cost-and-latency-with-amazon-bedrock-prompt-caching/
摘要：Prompt caching in Amazon Bedrock can cut input token costs by up to 90% when you repeatedly send the same context to foundation models. This post walks through six practical prompt caching scenarios using the Converse AP
5. Build an AI-powered product tagging system with Amazon SageMaker serverless model customization
- 来源：AWS ML Blog
- 发布时间：2026-09-15 16:11 UTC
- 链接：https://aws.amazon.com/blogs/machine-learning/build-an-ai-powered-product-tagging-system-with-amazon-sagemaker-serverless-model-customization/
摘要：Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning (SFT) and reinforcement learning with verifiable rewards (RLVR) on Ama
6. Announcing instance preference lists for Amazon SageMaker AI training jobs
- 来源：AWS ML Blog
- 发布时间：2026-09-15 16:01 UTC
- 链接：https://aws.amazon.com/blogs/machine-learning/announcing-instance-preference-lists-for-amazon-sagemaker-ai-training-jobs/
摘要：Amazon SageMaker AI now offers instance preference lists for training and processing jobs. Specify an ordered list of up to five instance types, and SageMaker AI automatically launches on the first type with available ca
7. Meta’s new One subscriptions put a price on social media and AI
- 来源：The Verge AI
- 发布时间：2026-09-15 15:00 UTC
- 链接：https://www.theverge.com/tech/995453/meta-one-subscriptions-ai
摘要：Shortly after launching its new do-everything AI assistant Muse, Meta's launching subscription bundles that pair its standalone app subscriptions with extra AI usage. Some of the new Meta One bundles were in testing earl
8. This doorbell camera lets a human security guard watch your front door
- 来源：The Verge AI
- 发布时间：2026-09-15 13:36 UTC
- 链接：https://www.theverge.com/tech/995365/simplisafe-video-doorbell-series-2-virtual-guard-price-specs
摘要：DIY home security company SimpliSafe is bringing its AI-powered proactive security feature to the front door. The new SimpliSafe Video Doorbell Series 2 launches today for $199.99 and works with the company's Active Guar
9. Meta Introduces ZGateway: A Stateless Proxy Tier That Unifies ZippyDB Traffic and Handles Over 1 Billion Operations Per Second
- 来源：MarkTechPost
- 发布时间：2026-09-15 04:28 UTC
- 链接：https://www.marktechpost.com/2026/09/14/meta-introduces-zgateway-a-stateless-proxy-tier-that-unifies-zippydb-traffic-and-handles-over-1-billion-operations-per-second/
摘要：Meta engineering team introduced ZGateway, a proxy tier that now sits between client applications and ZippyDB, the Meta’s most widely used key value store. ZippyDB backs product metadata, counters, and configuration at b
10. Agent-net Open Sources Webagent: A Go Harness That Turns Any Website into a Guarded AI Agent
- 来源：MarkTechPost
- 发布时间：2026-09-15 04:03 UTC
- 链接：https://www.marktechpost.com/2026/09/14/agent-net-open-sources-webagent-a-go-harness-that-turns-any-website-into-a-guarded-ai-agent/
摘要：Agent-net, the team building an agent-to-agent marketplace where AI agents discover, trust, and pay each other, has released Webagent, an open source harness for standing up public-facing business agents. So, basically y
11. ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13356
摘要：arXiv:2609.13356v1 Announce Type: new Abstract: In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency. ZGCM-1 is founded on a c
12. Converge Then Diversify: Decoupling Convergence and Diversity in Multi-Objective Bayesian Optimisation
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13396
摘要：arXiv:2609.13396v1 Announce Type: new Abstract: Multi-objective Bayesian optimisation (MOBO) is a sample-efficient approach for optimising expensive black-box functions with multiple objectives. In MOBO, the goal is to a
13. Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13406
摘要：arXiv:2609.13406v1 Announce Type: new Abstract: When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect? Towards autonomous and evolving intelligence, RSI is being c
14. Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13422
摘要：arXiv:2609.13422v1 Announce Type: new Abstract: LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We study this problem th
15. Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks?
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13436
摘要：arXiv:2609.13436v1 Announce Type: new Abstract: Large Language Model (LLM) agents offer a promising path toward autonomously managing long-term physical tasks without human intervention. However, physical tasks require a
16. LabAgent: Customize Any Research Hubs for Scientific Discoveries Using AI Agents
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13437
摘要：arXiv:2609.13437v1 Announce Type: new Abstract: Scientific research is a continuous process that emphasizes inheritance. Methods developed by predecessors are often expanded upon by new researchers to explore more novel
17. TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13457
摘要：arXiv:2609.13457v1 Announce Type: new Abstract: Timeseries multimodal large language models (TS-MLLMs) have recently begun leveraging the reasoning capabilities of large language models (LLMs) for question-answering task
18. Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13463
摘要：arXiv:2609.13463v1 Announce Type: new Abstract: The increasing deployment of AI agents in long-horizon tasks yields massive execution logs. Diagnosing failures within these records is crucial for reliability, as it trans
19. Governing at Machine Speed: An Adaptive Intelligence Architecture for Real-Time AI Policy Enforcement
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13466
摘要：arXiv:2609.13466v1 Announce Type: new Abstract: Enterprise AI adoption has reached 78% of organizations globally, yet the infrastructure to govern that adoption has not kept pace. This paper identifies and characterizes
20. OrchSLM: Probing the Dynamics of Small Language Model Orchestration
- 来源：arXiv cs.AI
- 发布时间：2026-09-15 04:00 UTC
- 链接：https://arxiv.org/abs/2609.13470
摘要：arXiv:2609.13470v1 Announce Type: new Abstract: Although large language models (LLMs) have demonstrated remarkable capabilities, their reliance on cloud-scale infrastructure poses fundamental challenges for deployment in