Pai 的 AI 雷达

模型与评测

今天:The Vibe Shift(arXiv:2609),Show-Harness(Agent 原型)。并行还有 GPT-6-sol appeared on、GPT-image 2.5 生图提示词合集与折扣码分享、Claude is only。

日期
2026/09/12
今日条目
86
当前类目
22
#01

The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption

arXiv:2609.09560v1 Announce Type: cross Abstract: This study evaluates Vibe Coding, an emerging AI-led conversational programming paradigm that enables developers to generate software through natural-language interaction with large language models. Using a mixed-methods design, t

推荐理由The Vibe Shift in Software Engineering:arXiv:2609.09560v1 Announce Type: cross Abstract: This study evaluates Vibe Coding。
模型与评测arXiv cs.AI 官方
#02

Show-Harness: Just a VLM Agent Can Play Robots

arXiv:2609.10522v1 Announce Type: cross Abstract: Foundation vision-language models (VLMs) exhibit broad intelligence about the world, yet translating this intelligence into robot control remains challenging. We present Show-Harness, an Embodied Harness that enables VLMs to "play

推荐理由Show-Harness: Just a VLM Agent Can Play:arXiv:2609.10522v1 Announce Type: cross Abstract: Foundation vision-language models。
模型与评测机器人具身arXiv cs.AI 官方
#04

GPT-image 2.5 生图提示词合集与折扣码分享

📌 一句话摘要 作者分享 GPT-image 2.5 的 256+ 免费开源提示词合集,并附带 Renoise 平台 7 折优惠码。 📝 详细摘要 作者称挖到 GPT-image 2.5 生图免费开源提示词合集,包含 256+ 提示词,覆盖多种风格、创意与场景,仍在更新,可在 Renoise 上免费体验。作者同时表示向老板争取到结算 7 折优惠,给出优惠码 BERRYXIA-ZLM9-R4BR,完整地址放在评论。引用内容为英文版介绍:整理了 256+ 提示词并开源,涵盖照片风格、产品图、修图、创意用例,可复制后在 Renoise 上快速生成。 💡 主要观

推荐理由📌 一句话摘要 作者分享 GPT-image 2.5 的 256+ 免费开源提示词合集,并附带 Renoise 平台 7 折优惠码。
模型与评测BestBlogs.dev
#08

GIF: Agentic Generation of Interactive and Functional Object Compositions for Robot Learning

arXiv:2609.05927v2 Announce Type: replace Abstract: Robot manipulation foundation models require scalable evaluation and data generation across diverse scenarios, with simulation providing an environment for both. Automated scene generation offers a promising path, yet prior work

推荐理由GIF: Agentic Generation of Interactive:arXiv:2609.05927v2 Announce Type: replace Abstract: Robot manipulation foundation。
模型与评测arXiv cs.RO 官方
#09

Harness Robotic OS: A Unified Embodied-Agent Runtime for Closed-Loop Quadruped Inspection

arXiv:2609.11225v1 Announce Type: new Abstract: Autonomous property inspection requires more than robust robot navigation: a deployable system must connect heterogeneous sensing, reusable autonomy capabilities, multimodal scene understanding, human interaction, and enterprise res

推荐理由Harness Robotic OS: A Unified:arXiv:2609.11225v1 Announce Type: new Abstract: Autonomous property inspection requires。
模型与评测机器人具身arXiv cs.RO 官方
#10

2AM: Grounding Agent-Side Memory as Guidance for Steerable Action Models in Long-Horizon Manipulation

arXiv:2609.11308v1 Announce Type: new Abstract: Long-horizon robot manipulation requires memory, but not necessarily inside the action policy. To address such tasks, current agentic systems often combine VLAs with planners and geometric tools, sometimes using additional depth or

推荐理由2AM: Grounding Agent-Side Memory as:arXiv:2609.11308v1 Announce Type: new Abstract: Long-horizon robot manipulation。
模型与评测arXiv cs.RO 官方
#11

Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses

arXiv:2609.05736v2 Announce Type: replace Abstract: LLM tool agents can be improved without retraining by modifying the runtime harness around a fixed model: prompts, tool interfaces, middleware, state handling, and recovery logic. We study this setting as resource-bounded harnes

推荐理由Beyond Prompts: Measuring:arXiv:2609.05736v2 Announce Type: replace Abstract: LLM tool agents can be improved。
模型与评测arXiv cs.AI 官方
#12

CamPilot: A Multi-Agent Cinematic Assistant for Camera-Controlled Movie Generation

arXiv:2609.10943v1 Announce Type: new Abstract: The integration of large language models (LLMs) into video generation has enabled rapid text-to-video creation and improved visual quality. However, it still falls short of professional filmmaking, where cinematographic language is

推荐理由CamPilot: A Multi-Agent Cinematic:arXiv:2609.10943v1 Announce Type: new Abstract: The integration of large language。
模型与评测arXiv cs.CV 官方
#13

Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design

arXiv:2609.10132v1 Announce Type: cross Abstract: The development of generative artificial intelligence resources enables opportunities of speeding up systems and engineering design work. This contribution introduces a framework of formal operations for assembling context in LLM

推荐理由Context operations to architecture:arXiv:2609.10132v1 Announce Type: cross Abstract: The development of generative。
模型与评测arXiv cs.AI 官方
#14

KernelGenBench: Can LLMs and Agents Write Efficient Kernels Across Operator Sources and Hardware Platforms?

arXiv:2607.27231v3 Announce Type: replace Abstract: Modern AI systems depend on specialized accelerator kernels, whose development is complicated by increasingly diverse operators and hardware. LLMs and agentic systems promise to automate this work, but existing evaluations do no

推荐理由KernelGenBench: Can LLMs and Agents:arXiv:2607.27231v3 Announce Type: replace Abstract: Modern AI systems depend。
模型与评测arXiv cs.AI 官方
#15

Multi-Agent Agentic Graph Learning via Structural Signatures

arXiv:2609.09565v1 Announce Type: new Abstract: Agentic graph learning (AGL) has recently achieved promising results on graph reasoning tasks, where an agent powered by a large language model (LLM) sequentially samples the graph as evidence to support its final prediction. Existi

推荐理由Multi-Agent Agentic Graph Learning via:arXiv:2609.09565v1 Announce Type: new Abstract: Agentic graph learning (AGL) has。
模型与评测arXiv cs.AI 官方
#16

Rapid Learning of Dexterous In-Hand Pen Writing through Real-Time Jacobian Estimation

arXiv:2609.11775v1 Announce Type: new Abstract: Dexterous in-hand manipulation of a grasped object with an anthropomorphic hand is an unsolved frontier for robot dexterity. The contact-richness and highly dynamic nature of object-hand interactions tend to require extensive modeli

推荐理由Rapid Learning of Dexterous In-Hand Pen:arXiv:2609.11775v1 Announce Type: new Abstract: Dexterous in-hand manipulation of。
模型与评测arXiv cs.RO 官方
#17

SwarmNxt: Open-source Software-Hardware Platform for Fast and Agile Aerial Swarms

arXiv:2609.11382v1 Announce Type: new Abstract: Aerial robot swarms have the potential to transform time-critical safety, security, and search-and-rescue operations. By coordinating multiple robots, they can rapidly survey disaster sites, map collapsed or GPS-denied environments,

推荐理由SwarmNxt: Open-source Software-Hardware:arXiv:2609.11382v1 Announce Type: new Abstract: Aerial robot swarms have the potential。
模型与评测arXiv cs.RO 官方
#18

With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education

arXiv:2609.09856v1 Announce Type: cross Abstract: The rapid adoption of generative AI tools such as ChatGPT has sparked intense debate about their risks and opportunities for education, as well as the ways researchers should investigate them. In this paper, we approach these disc

推荐理由With a Thermomix You Lose the Ability:arXiv:2609.09856v1 Announce Type: cross Abstract: The rapid adoption of generative AI。
模型与评测arXiv cs.AI 官方
#19

Omni Interaction Agent Technical Report

arXiv:2609.08977v2 Announce Type: replace-cross Abstract: In this work, we present Gander, an end-to-end model that unifies omni perception, realtime interaction, and agentic capabilities within a single framework. In contrast to turn-based conventional paradigms, Gander continuo

推荐理由Omni Interaction Agent Technical Report:arXiv:2609.08977v2 Announce Type: replace-cross Abstract: In this work, we present。
模型与评测arXiv cs.AI 官方