AI Trends
Track the latest developments and trends in AI
How to Make an Invisible Drone
There are many words that I would never, ever use to describe a drone. Stealthy. Subtle. Whatever the opposite of obnoxious is. Much of this is because of the giant angry bee sound that drones tend to make, but it’s also the way that they look in flight: With uncannily linear movements and an even less canny ability to hover perfectly still, they tend to draw the eye as affronts to nature. In a paper presented this week at RSS 2026 in Sydney, roboticists from Northwestern University, Evanston, I
Google’s AI Mode now lets you link and interact with select apps
With this new update, Google is expanding AI Mode beyond answering questions and into completing tasks across the apps they use regularly.
Yes, you can now order DoorDash from the command line
DoorDash is opening a limited beta of dd-cli, a command-line tool that lets developers and AI agents search stores, build carts, and place orders from the terminal, marking another step toward software designed for AI agents instead of just humans.
Why is OpenAI selling a ChatGPT basketball?
You may have heard that OpenAI released its first piece of hardware this week. You may not have heard about the ChatGPT basketball.
How a former DeepMind researcher raised at a $300M pre-seed valuation before launching a product
Drawing on more than a decade spent helping build some of the world's most influential AI systems, including research that later informed the development of ChatGPT, Andrew Dai explains why he believes visual AI is one of the next major frontiers in artificial intelligence.
Why AMI Labs’ Alexandre LeBrun won’t call his AI ‘AGI’ or ‘superintelligence’
While everyone in AI is chasing "superintelligence," Alexandre LeBrun, CEO of Yann LeCun’s world model startup, AMI Labs, dismisses the word.
Moonshot’s upcoming Kimi 3 is expected to close the gap with Anthropic’s Opus 4.8
The FT reports Kimi K3 will be the largest open AI model from China, with a parameter count between 2 trillion and 3 trillion.
Apple Intelligence approved for launch in China with Alibaba and Baidu
The deal, which was rumored to be in the works last year, marks an important step for Apple's AI ambitions in a key market.
Digital Surveillance Reshapes Fishery Enforcement in Indonesia
In the eastern Indian Ocean, south of Java in the vast sea stretching toward Australia, a fishing vessel slightly alters its course while operating near the boundary of its authorized fishing ground. Nothing appears unusual on deck. Nets remain in the water. Engines maintain a steady speed. To the crew, it is an ordinary day at sea. Yet hundreds of kilometers above, satellites continuously record the vessel’s position. At Indonesia’s Marine and Fisheries Resources Surveillance Station in Cilacap
氪星晚报｜IDC：百度智能云蝉联中国金融大模型市场份额第一；腾讯云与RoboScience机器科学达成战略合作；商务部回应推动解决安世半导体问题进展
大公司： OPPO：realme新品将聚焦海外市场，中国市场暂停产品更新 36氪从OPPO方面获悉，为了进一步整合集团资源，实现全球产品战略的协同，未来 realme 新品将聚焦海外市场，在中国市场暂停产品更新；一加在中国市场的产品更新保持不变。realme和一加将持续在游戏和性能领域为用户提供优质的体验。 IDC：百度智能云蝉联中国金融大模型市场份额第一 36氪获悉，根据国际数据公司（IDC）最新发布的《中国金融行业生成式AI平台及应用解决方案市场份额，2025》报告，2025年中国金融行业生成式AI市场迎来爆发式增长，整体规模达到17.40亿元人民币，同比增速高达90.4%。在高速增长的赛道中，百度智能云凭借在技术底座与场景落地上的双重优势，以16.6%的市场份额位居中国金融行业生成式AI平台及应用解决方案市场第一。 深圳华强：积极协助华为建设算力生态，相关工作已在尽快推进落地中 36氪获悉，深圳华强在互动平台表示，公司是华为计算部件（含昇腾、鲲鹏）总经销商，将持续推进华为计算部件的技术和产品推广，积极协助华为建设算力生态，相关工作已在尽快推进落地中。二季度具体经营情况请以公司后续
中专生拍出破亿爆款，影视圈边缘人靠AI改命丨深氪lite
“AI改了我的命” AI时代的精英叙事里，出现了草根翻身的故事。 5月，来自云南玉溪地产行业的中专生刘梓瑜，创作出了全网播放破亿的《丧尸清道夫》，被称为“国产爱死机”。他因此收到了好莱坞制作人的跨洋Offer。这部短片配有英文字幕，但一位接触过刘梓瑜的从业者表示，他的英语并不好，甚至“不会翻墙”。 一个月后，97年出生的刘梓瑜在抖音电影奇遇夜上被评为“抖音新锐未来导演”，在他的账号下，一位名为“AAA云还路**建材批发发哥”的网友评论道，“牛逼，也是登上AIGC这艘诺亚方舟了，什么时候我们这些打工仔也能翻身。”后面跟了一个大哭的表情。 《丧尸清道夫》海报，图片源自刘梓瑜小红书账号 同样“翻身”的还有生于2004年的孟柯。他最近凭一部网吧里做出来的AI短片《霉》，拿下了北影节AIGC最佳导演。非科班出身的孟柯在采访中说，“如果没有AI，我可能一辈子都无法接触电影节的舞台”，“AI改了我的命。” 孟柯拥有一个二十多人的团队，几乎都是00后，甚至还有不少大学生。他说，如果努力一辈子，只是为了一套一两百万的房子，那也太没有价值了。 过去，想要成为一位导演，几乎不允许踏错一步。首先，他几乎只能毕
Patter SDK Guide to Building a Restaurant Booking Phone Agent with Dynamic Variables, Guardrails, Latency Dashboards, and Eval Checks
We explore the Patter SDK by building a voice-agent workflow for a restaurant booking use case. We define dynamic caller variables, register callable tools for availability, bookings, hours, and human transfer, and layer output guardrails over every reply. We simulate speech-to-text and text-to-speech behavior, run scripted call flows, and track modeled latency and cost in a dashboard. We validate the agent with a deterministic eval harness, then map the same logic to a real deployment using Twi