发布日期:2026-09-23
收录条目:20
1. Better prompt caching for GPT-6
- 来源:OpenAI News
- 发布时间:2026-09-22 21:00 UTC
- 链接:https://openai.com/index/better-prompt-caching-for-gpt-6
摘要:Learn how GPT-6 improves prompt caching with higher cache hit rates, new diagnostics, explicit breakpoints, and controls that reduce latency and costs.
2. Rabbit’s new AI agent doesn’t need an R1 to run
- 来源:The Verge AI
- 发布时间:2026-09-22 20:52 UTC
- 链接:https://www.theverge.com/ai-artificial-intelligence/999094/rabbit-ai-agent-os3
摘要:Rabbit, the company behind the underwhelming R1 device, is rolling out a standalone AI agent that you don't need its hardware to use, as reported earlier by Wired. The startup says its new OS3 "agentic operating system"
3. Anthropic Releases Claude Opus 5.5: Fable 5.1-Level Performance at 40% Lower Running Cost Than Opus 5
- 来源:MarkTechPost
- 发布时间:2026-09-22 18:59 UTC
- 链接:https://www.marktechpost.com/2026/09/22/anthropic-claude-opus-5-5-release/
摘要:Anthropic has released Claude Opus 5.5, the first model in its new Claude 5.5 family. The team states it performs at the level of Claude Fable 5.1 on most work. It also costs 40% less to run than Opus 5 on typical worklo
4. Bring more intelligence to everyday work with GPT-6 Sol and GPT-6 Luna on Amazon Bedrock
- 来源:AWS ML Blog
- 发布时间:2026-09-22 18:10 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/bring-more-intelligence-to-everyday-work-with-gpt-6-sol-and-gpt-6-luna-on-amazon-bedrock/
摘要:GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock, giving you more options to match intelligence and efficiency to each workload.
5. Introducing GPT-6 Sol and Luna
- 来源:OpenAI News
- 发布时间:2026-09-22 18:00 UTC
- 链接:https://openai.com/index/introducing-gpt-6-sol-and-luna
摘要:Meet GPT-6 Sol and Luna, two models that bring frontier intelligence to everyday work with different balances of capability and cost.
6. Claude Opus 5.5 is now available on AWS
- 来源:AWS ML Blog
- 发布时间:2026-09-22 17:28 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/claude-opus-5-5-is-now-available-on-aws/
摘要:Claude Opus 5.5, Anthropic's most capable Opus model for agentic coding, knowledge work, and long-running tasks, is now available on Amazon Bedrock and Claude Platform on AWS. This post covers what's new in Opus 5.5, pra
7. Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore
- 来源:AWS ML Blog
- 发布时间:2026-09-22 17:18 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/evaluate-skill-equipped-agents-with-strands-evals-and-amazon-bedrock-agentcore/
摘要:Skills let you encode domain-specific procedures as reusable, portable instructions for agents, but a fluent answer doesn't prove the agent picked the right skill or followed it. Learn how to measure skill selection and
8. Andreessen Horowitz is launching an ‘academy’ with no homework and partnerships with Palantir, Google, and Meta
- 来源:The Verge AI
- 发布时间:2026-09-22 16:34 UTC
- 链接:https://www.theverge.com/ai-artificial-intelligence/998813/andreessen-horowitz-ai-academy
摘要:Venture capital firm Andreessen Horowitz (a16z) is creating an "academy" positioned as a pipeline for young people to build or join a Silicon Valley startup. The "Horowitz Andreessen Academy" will launch with 10 partners
9. Anthropic launches Claude Opus 5.5 with stricter safeguards for cybersecurity
- 来源:The Verge AI
- 发布时间:2026-09-22 16:30 UTC
- 链接:https://www.theverge.com/ai-artificial-intelligence/998868/anthropic-claude-opus-5-5-cybersecurity
摘要:Anthropic says its new Claude Opus 5.5 model comes with stronger safeguards in the wake of recent rogue AI hacking incidents. In an announcement on Tuesday, Anthropic says Opus 5.5 comes with improvements to certain risk
10. Trump says the US is officially renaming AI to ‘super intelligence’
- 来源:The Verge AI
- 发布时间:2026-09-22 16:01 UTC
- 链接:https://www.theverge.com/ai-artificial-intelligence/998816/donald-trump-ai-super-intelligence
摘要:In a speech Tuesday morning at the UN General Assembly, Donald Trump railed against Iran, "globalists," climate change, and transgender people while also claiming that the US is now "officially" renaming artificial intel
11. How Reactiv automates mobile commerce 80% faster with Amazon Bedrock AgentCore
- 来源:AWS ML Blog
- 发布时间:2026-09-22 15:46 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/how-reactiv-automates-mobile-commerce-80-faster-with-amazon-bedrock-agentcore/
摘要:Reactiv used Amazon Bedrock AgentCore to build a multi-agent AI Scheduler that autonomously refreshes Shopify merchants' mobile apps on a schedule, reducing merchant configuration time by 80% and getting to production 33
12. Right-size generative AI endpoints with concurrency sweeps on Amazon SageMaker AI
- 来源:AWS ML Blog
- 发布时间:2026-09-22 15:35 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/right-size-generative-ai-endpoints-with-concurrency-sweeps-on-amazon-sagemaker-ai/
摘要:Concurrency sweeps help you right-size a generative AI endpoint on Amazon SageMaker AI by systematically benchmarking it at increasing load levels. This post walks through deploying a model, running automated concurrency
13. How Trane gets building insights 60x faster with Amazon Bedrock AgentCore
- 来源:AWS ML Blog
- 发布时间:2026-09-22 15:30 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/how-trane-gets-building-insights-60x-faster-with-amazon-bedrock-agentcore/
摘要:In about four weeks, Trane Technologies built an AI-powered agentic solution on Amazon Bedrock AgentCore that reduced a 20-minute, multi-screen building diagnostic workflow to a 20-second natural language interaction, a
14. How Tata Elxsi detects industrial safety risks in seconds on AWS
- 来源:AWS ML Blog
- 发布时间:2026-09-22 15:19 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/how-tata-elxsi-detects-industrial-safety-risks-in-seconds-on-aws/
摘要:Learn how Tata Elxsi built IRIS, a real-time industrial safety platform on AWS. IRIS filters camera video at the edge, streams metadata through Amazon Kinesis, runs computer vision on Amazon SageMaker AI, and correlates
15. Extending public sector intelligence with Agentforce and AWS
- 来源:AWS ML Blog
- 发布时间:2026-09-22 15:17 UTC
- 链接:https://aws.amazon.com/blogs/machine-learning/extending-public-sector-intelligence-with-agentforce-and-aws/
摘要:Public sector agencies process large volumes of unstructured evidence, such as body camera footage and scanned documents. This post shows how to combine Amazon Bedrock Data Automation with the Model Context Protocol (MCP
16. Parallel cut research time and cost in half with GPT‑6 Astra
- 来源:OpenAI News
- 发布时间:2026-09-22 12:00 UTC
- 链接:https://openai.com/index/parallel-cuts-time-and-cost-with-astra
摘要:GPT‑6 Astra allowed Parallel’s agents to research and synthesize labor-market data in half the time and at half the cost vs. prior models.
17. Meta patches Muse exploit that let attackers control the AI agent
- 来源:The Verge AI
- 发布时间:2026-09-22 11:53 UTC
- 链接:https://www.theverge.com/tech/998679/meta-muse-patch-zero-day-exploit-ai-agent
摘要:Meta has issued a patch for its Muse macOS app following the discovery of a zero-day vulnerability that could allow someone to take control of the AI agent. The bug found by security researcher Patrick Wardle utilized an
18. NVIDIA Introduces SoL-Pi: Auto-Research Loops That Cut Coding Agent Token Traffic by Up to 49%
- 来源:MarkTechPost
- 发布时间:2026-09-22 05:04 UTC
- 链接:https://www.marktechpost.com/2026/09/21/nvidia-researchers-have-released-sol-pi/
摘要:NVIDIA researchers have released SoL-Pi, 4 harness mechanisms for the open-source Pi coding agent, discovered by an AI running auto-research loops across 535 environments. On EdgeBench, SoL-Pi cuts token traffic by 44.7%
19. SpaceXAI Releases Grok 4.7: A Larger Base Model at the Same $2/$6 Price as Grok 4.6
- 来源:MarkTechPost
- 发布时间:2026-09-22 04:10 UTC
- 链接:https://www.marktechpost.com/2026/09/21/spacexai-releases-grok-4-7/
摘要:SpaceXAI has released Grok 4.7, its new flagship model for coding, agentic tasks, and knowledge work. Grok 4.7 is built on a larger base model and a longer reinforcement learning run. It still ships at the same price and
20. RBS-Attention: Radius-Bounded Sparse Prefill for Long-Context Large Language Models
- 来源:arXiv cs.AI
- 发布时间:2026-09-22 04:00 UTC
- 链接:https://arxiv.org/abs/2609.20971
摘要:arXiv:2609.20971v1 Announce Type: new Abstract: Long-context large language model inference is increasingly limited by prefill, where dense self-attention processes the entire prompt before generation begins. Sparse bloc