来源：环球网 2025年6月30日，由中国公共外交协会、环球网、上海交通大学、同济大学、澳门大学、北京外国语大 学共同主办的第四期全球名校"Z世代"领袖连线活动成功举办。人工智能与代码大模型领域的青年学 者、北京航空航天大学准聘副教授杨健以专业视角指出：伴随大型语言模型的发展，人工智能已深度融 入软件开发全流程，从自动生成代码、调试优化，到理解项目需求、协作式编程，极大提升了开发效 率。AI正从辅助工具迈向智能合作者，借助自然语言接口、上下文感知和多智能体系统，推动编程门 槛持续降低，人人可编程正逐步成为现实。 未来的编程将呈现"自动化程度更高、协作性更强、AI深度集成"的趋势。我们可以预见，未来会出现更 直观的开发环境、更先进的自动代码生成工具和更智能的AI助手，使编程过程变得更高效、易用。人 工智能编程正在通过辅助甚至自动化软件开发流程实现飞跃，涵盖代码生成、调试、优化乃至新编程语 言的设计。这一趋势显著提升了开发效率，缩短产品上市时间，提高软件质量，并让开发者能将更多精 力集中于高层次的问题解决。 AI正在成为程序开发中的关键合作者。这不仅对开发者提出了新的技能要求，也推动了"人机共创"的工 作方式成为 ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Let's build a mini-ChatGPT app powered by DeepSeek-R1 (100% local): ...

作者 | Fanzhi Zeng 来源 | 深蓝AI 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近15个 方向 学习 路线 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 本文只做学术分享，如有侵权，联系删文 摘要 基于规则 的决策系统 通过定义明确的规则来指导车辆行为， 具备很好的透明性和可解释性。但也存在 着 高度依赖于专家知识，开发成本高昂，对复杂动态交通环境的适应性有限 等问题。 针对上述提到的相关问题，并且考虑到目前大语言模型 展现出丰富的世界知识和强大的推理能力 。本 文提出了一种新颖的基于规则决策的LLM驱动的自动驾驶框架 ADRD 。在自动驾驶仿真平台highway- env上的实验结果表明， ADRD在多种典型驾驶场景中表现出强大的泛化能力和鲁棒性。与传统的知识 驱动方法和数据驱动的强化学习方法相比，ADRD在决策性能、响应效率和可解释性方面取得了显著提 升。 论文标题： ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems 论文作者： Fanzhi Zeng, S ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.RAvi Chawla (@_avichawla):6 no-code LLMs, Agents, and RAG builder tools for AI engineers:(open-source and production-grade) ...

AI has become a part of our lives. For many of us, it started with that magical moment of discovering Chad GPT, a machine that could finally understand us, speak to us, and even generate reports on command. At that point in 2022, terms like LLM or large language models finally entered all of our vocabulary.But friends, what if I told you that the era of LLMs, at least as we know it, is nearing its end. Not because it's failed, but far from it. It's because we are on the verge of something even more powerful ...

Welcome back to the week in AI. I'm Kevin Cook, your field guide and storyteller for the fascinating arena of artificial intelligence. We did another space on Friday, my myself and my colleague Ethan Feller on um the 28th, Friday the 28th. I had to remember now that we're in July here. Um here were here was the the post basically the invitation for people to to come with my big topics. What's more doomer AI AGI imminent meaning tomorrow or AGI never? That's an important question. And then welcome to the sca ...

Talent Acquisition & Competition - Meta is attempting to recruit OpenAI employees, but OpenAI's CEO downplays the significance, suggesting Meta is not acquiring top-tier talent [1][2] - OpenAI believes its shares offer greater potential upside compared to the publicly traded Meta [2] - Meta is offering substantial multi-year deals, reportedly worth $300 million, to attract scientists and engineers, with some receiving $100 million upfront [3] Cultural & Performance Implications - OpenAI raises concerns about the potential cultural impact within Meta due to high, guaranteed compensation packages, questioning the work ethic of new hires [4] - The industry observes that employees attracted by high paychecks may lack company loyalty and could easily leave for better offers [5] Large Language Model (LLM) Landscape - Meta is actively working to enhance its Llama LLM, but it is currently considered less successful than those developed by Anthropic, OpenAI, and Google [6]

Can Meta deliver on its AI. Got to the right camera in the end there. Lot of all four to get there.Uh, can they deliver on their AI ambitions as the competition heats up. Joining us now, New York University professor emeritus and AI expert Gary Marcus. Gary, great to have you have you with us.I maybe maybe this is a tough question to to answer, but can you buy in outside AI expertise and incorporate it quickly, easily, or is it as complicated as trying to do a massive corporate merger and the kind of teethi ...

Hey, this is Lance from Langchain. You might have heard a lot about the Gemini 2.5% series of models. They've been gaining a lot of attention after a number of releases in recent weeks.I want to show you a few of their capabilities and showcase a really simple but pretty cool researcher I built using the Gemini models and it takes advantage of Gemini's native search tool and video understanding tool for YouTube URLs to do research on a given video as well as a topic. combines that research and will produce ...

【环球网科技综合报道】7月1日消息，据彭博社知名产业记者马克・古尔曼报道，苹果公司正考虑调整其人工智能发展策略，计划放弃自研内部模型，并已 与Anthropic及OpenAI就相关合作展开讨论，评估将这两家公司的大语言模型应用于Siri语音助手的可能性。 据知情人士透露，苹果方面要求两家公司训练适配苹果云基础设施的专用模型版本，此举旨在进一步强化用户隐私保护。古尔曼认为，若此次合作达成，将 意味着苹果放弃原定2026年基于自研"Apple Foundation Models"升级Siri的计划，这一变动可能会引发广泛关注。 消息人士表示，Siri负责人麦克・洛克威尔正主导外部模型的测试工作，多轮测试结果显示，Anthropic的Claude模型表现优于ChatGPT。目前，苹果企业发 展副总裁阿德里安・佩里卡已启动与Anthropic的谈判，但Anthropic提出了每年数十亿美元且逐年激增的授权费要求。若谈判未能达成一致，苹果可能会转 向OpenAI或其他合作商。 在内部研发方面，苹果AI负责人约翰・詹南德雷亚主导的"LLM Siri"项目仍在推进，但进度较为缓慢。该项目的基础模型团队约有100人，由谷歌前 ...