发布日期:2026-02-27
收录条目:20
1. Anthropic refuses Pentagon’s new terms, standing firm on lethal autonomous weapons and mass surveillance
- 来源:The Verge AI
- 发布时间:2026-02-26 23:22 UTC
- 链接:https://www.theverge.com/news/885773/anthropic-department-of-defense-dod-pentagon-refusal-terms-hegseth-dario-amodei
摘要:Less than 24 hours before the deadline in an ultimatum issued by the Pentagon, Anthropic has refused the Department of Defense's demands for unrestricted access to its AI. It's the culmination of a dramatic exchange of p
2. Microsoft’s Copilot Tasks AI uses its own computer to get things done
- 来源:The Verge AI
- 发布时间:2026-02-26 22:56 UTC
- 链接:https://www.theverge.com/tech/885741/microsoft-copilot-tasks-ai
摘要:Microsoft is previewing a new AI system, Copilot Tasks, that it says is designed to take care of busywork for you in the background, the company announced on Thursday. The feature takes the load off your device using its
3. Jack Dorsey’s Block cuts nearly half of its staff in AI gamble
- 来源:The Verge AI
- 发布时间:2026-02-26 22:11 UTC
- 链接:https://www.theverge.com/tech/885710/jack-dorsey-block-layoffs-job-cuts-ai
摘要:Jack Dorsey's Block, the financial tech company that runs Square and the Cash app, is cutting its workforce by "nearly half" and axing more than 4,000 jobs. The company will shrink from more than 10,000 people to less th
4. Google and the Massachusetts AI Hub are launching a new AI training initiative for the Commonwealth.
- 来源:Google AI Blog
- 发布时间:2026-02-26 18:55 UTC
- 链接:https://blog.google/company-news/outreach-and-initiatives/grow-with-google/google-ai-training-massachusetts-residents/
摘要:Google is partnering with the Massachusetts AI Hub to provide every Baystater with no-cost access to Google’s AI training.
5. Google AI Just Released Nano-Banana 2: The New AI Model Featuring Advanced Subject Consistency and Sub-Second 4K Image Synthesis Performance
- 来源:MarkTechPost
- 发布时间:2026-02-26 18:04 UTC
- 链接:https://www.marktechpost.com/2026/02/26/google-ai-just-released-nano-banana-2-the-new-ai-model-featuring-advanced-subject-consistency-and-sub-second-4k-image-synthesis-performance/
摘要:In the escalating ‘race of “smaller, faster, cheaper’ AI, Google just dropped a heavy-hitting payload. The tech giant officially unveiled Nano-Banana 2 (technically designated as Gemini 3.1 Flash Image). Google is making
6. Get more context and understand translations more deeply with new AI-powered updates in Translate.
- 来源:Google AI Blog
- 发布时间:2026-02-26 18:00 UTC
- 链接:https://blog.google/products-and-platforms/products/translate/translation-context-ai-update/
摘要:New alternatives, “understand” and “ask” buttons in Google Translate help you navigate the complexities of natural language.
7. Build with Nano Banana 2, our best image generation and editing model
- 来源:Google AI Blog
- 发布时间:2026-02-26 16:00 UTC
- 链接:https://blog.google/innovation-and-ai/technology/developers-tools/build-with-nano-banana-2/
摘要:Nano Banana 2 (Gemini 3.1 Flash Image) delivers Pro-level intelligence and fidelity for all image applications.
8. Nano Banana 2: Combining Pro capabilities with lightning-fast speed
- 来源:Google AI Blog
- 发布时间:2026-02-26 16:00 UTC
- 链接:https://blog.google/innovation-and-ai/technology/ai/nano-banana-2/
摘要:Our latest image generation model offers advanced world knowledge, production-ready specs, subject consistency and more, all at Flash speed.
9. Google’s Nano Banana 2 brings advanced AI image tools to free users
- 来源:The Verge AI
- 发布时间:2026-02-26 16:00 UTC
- 链接:https://www.theverge.com/tech/885275/google-nano-banana-2-ai-image-model-gemini-launch
摘要:Google is bringing a more powerful version of its Nano Banana AI image model to free users. Nano Banana 2 (also known as Gemini 3.1 Flash Image) is rolling out today across the Gemini app and other Google AI platforms, m
10. Anthropic gives its retired Claude AI a Substack
- 来源:The Verge AI
- 发布时间:2026-02-26 14:21 UTC
- 链接:https://www.theverge.com/ai-artificial-intelligence/885200/anthropic-retired-claude-given-a-substack
摘要:In January, Anthropic "retired" Claude 3 Opus, which at one time was the company's most powerful AI model. Today, it's back - and writing on Substack. The newsletter, called Claude's Corner, will give Opus 3 space to pub
11. Burger King will use AI to check if employees say ‘please’ and ‘thank you’
- 来源:The Verge AI
- 发布时间:2026-02-26 13:00 UTC
- 链接:https://www.theverge.com/ai-artificial-intelligence/884911/burger-king-ai-assistant-patty
摘要:Burger King is launching an AI chatbot that will live in the headsets used by employees. The voice-enabled chatbot, called "Patty," is part of an overarching BK Assistant platform that will not only assist employees with
12. Google takes control of ‘Android of robotics’ project in quest for physical AI
- 来源:The Verge AI
- 发布时间:2026-02-26 11:06 UTC
- 链接:https://www.theverge.com/tech/885113/google-swallows-ai-robotics-moonshot-intrinsic
摘要:Google is folding Alphabet's AI robotics "moonshot," Intrinsic, into the company after five years as an independent unit. The move marks a strategic shift as Google doubles down on physical AI and pulls experimental proj
13. Pacific Northwest National Laboratory and OpenAI partner to accelerate federal permitting
- 来源:OpenAI News
- 发布时间:2026-02-26 10:00 UTC
- 链接:https://openai.com/index/pacific-northwest-national-laboratory
摘要:OpenAI and Pacific Northwest National Laboratory introduce DraftNEPABench, a new benchmark evaluating how AI coding agents can accelerate federal permitting—showing potential to reduce NEPA drafting time by up to 15% and
14. Nous Research Releases ‘Hermes Agent’ to Fix AI Forgetfulness with Multi-Level Memory and Dedicated Remote Terminal Access Support
- 来源:MarkTechPost
- 发布时间:2026-02-26 08:01 UTC
- 链接:https://www.marktechpost.com/2026/02/26/nous-research-releases-hermes-agent-to-fix-ai-forgetfulness-with-multi-level-memory-and-dedicated-remote-terminal-access-support/
摘要:In the current AI landscape, we’ve become accustomed to the ‘ephemeral agent’—a brilliant but forgetful assistant that restarts its cognitive clock with every new chat session. While LLMs have become master coders, they
15. OpenAI Codex and Figma launch seamless code-to-design experience
- 来源:OpenAI News
- 发布时间:2026-02-26 06:00 UTC
- 链接:https://openai.com/index/figma-partnership
摘要:OpenAI and Figma launch a new Codex integration that connects code and design, enabling teams to move between implementation and the Figma canvas to iterate and ship faster.
16. A Dynamic Survey of Soft Set Theory and Its Extensions
- 来源:arXiv cs.AI
- 发布时间:2026-02-26 05:00 UTC
- 链接:https://arxiv.org/abs/2602.21268
摘要:arXiv:2602.21268v1 Announce Type: new Abstract: Soft set theory provides a direct framework for parameterized decision modeling by assigning to each attribute (parameter) a subset of a given universe, thereby representin
17. A Hierarchical Multi-Agent System for Autonomous Discovery in Geoscientific Data Archives
- 来源:arXiv cs.AI
- 发布时间:2026-02-26 05:00 UTC
- 链接:https://arxiv.org/abs/2602.21351
摘要:arXiv:2602.21351v1 Announce Type: new Abstract: The rapid accumulation of Earth science data has created a significant scalability challenge; while repositories like PANGAEA host vast collections of datasets, citation me
18. Beyond Refusal: Probing the Limits of Agentic Self-Correction for Semantic Sensitive Information
- 来源:arXiv cs.AI
- 发布时间:2026-02-26 05:00 UTC
- 链接:https://arxiv.org/abs/2602.21496
摘要:arXiv:2602.21496v1 Announce Type: new Abstract: While defenses for structured PII are mature, Large Language Models (LLMs) pose a new threat: Semantic Sensitive Information (SemSI), where models infer sensitive identity
19. ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
- 来源:arXiv cs.AI
- 发布时间:2026-02-26 05:00 UTC
- 链接:https://arxiv.org/abs/2602.21534
摘要:arXiv:2602.21534v1 Announce Type: new Abstract: Agentic reinforcement learning (ARL) has rapidly gained attention as a promising paradigm for training agents to solve complex, multi-step interactive tasks. Despite encour
20. Power and Limitations of Aggregation in Compound AI Systems
- 来源:arXiv cs.AI
- 发布时间:2026-02-26 05:00 UTC
- 链接:https://arxiv.org/abs/2602.21556
摘要:arXiv:2602.21556v1 Announce Type: new Abstract: When designing compound AI systems, a common approach is to query multiple copies of the same model and aggregate the responses to produce a synthesized output. Given the h