AI Post — Artificial Intelligence

JPMorgan CEO Jamie Dimon says AI is going to "cure cancer." @aipost 🏴

JPMorgan CEO Jamie Dimon says AI is going to "cure cancer." @aipost🏴

❗️Mustafa Suleyman says 18 months until AI automates all white-collar work. Microsoft AI CEO Mustafa Suleyman predicts "human-level performance on most professional tasks" within 18 months. Accounting, legal, marketing, project management, all fully automated. "Suleyman predicted “human-level performance on most, if not all professional tasks” being done by AI. Most tasks that involve “sitting down at a computer” will be fully automated by AI within the next year or 18 months, he said, naming accounting, legal, marketing, and even project management as vulnerable." Suleyman says his mission is building "superintelligence" and that creating a new AI model will soon be "like creating a podcast or writing a blog." Source. @aipost🏴

🇨🇳 In China, a 10-year-old casually gets a Mac Studio for “raising lobsters,” aka letting multiple AI agents work together like a tiny digital crew. “The world of the future belongs to those who understand Tokens.” Meet the AI-native children. @aipost🏴

Someone had AI handle a bread purchase negotiation. 😂 ~ Husk @aipost🏴

🔥Wow... Figure is running Man vs Machine live. 10 hours of package sorting. Human gets California breaks but robot does not. Whoever sorts the most packages wins. Watch here. @aipost🏴

Singapore’s Foreign Minister, Dr Balakrishnan casually explaining how he built his own AI agent (a 2nd brain for diplomacy) using Claude & WhatsApp integration etc. on a Raspberry Pi “You cannot govern a technology you have only been briefed on.” 🇸🇬 @aipost🏴

Vibe coders clicking "accept all" on 22,469 Claude Code changes without reading a single one. 😂 @aipost🏴

🇨🇳China is reducing its reliance on foreign AI chips. China's AI chip self-sufficiency ratio is up to a record 41%. This measures the proportion of domestic AI chip demand met by locally produced chips, rather than imported ones. This ratio has QUADRUPLED over the last 5 years. The AI chip self-sufficiency ratio is now projected to more than DOUBLE to ~85% by 2030, according to Morgan Stanley. In other words, China could meet nearly all of its own AI chip demand domestically within 5 years. @aipost🏴

Zipline introduces next generation drone infrastructure Zipline, a leading company in drone delivery, has launched infrastructure designed for automated aerial logistics. The system is structured to operate similarly to a robotic hive, supporting efficient deployment and coordination of delivery drones. This advancement is intended to increase the speed and reliability of drone-based shipments. The new infrastructure allows for continuous drone operations with minimal human intervention, offering a scalable model for logistics in various sectors. 📰@aipost

A delivery robot in Philadelphia was struck by a truck while crossing a street. Immediately following the collision, the robot displayed heart-shaped symbols on its LED panel. The unit then regained its course and continued on its planned route. 📰@aipost

🇺🇸🇨🇳Anthropic dropped one of the clearest warnings yet about the US-China AI race. Their new paper argues the US and its allies could lock in a 12–24 month lead in frontier AI by 2028, but only if they successfully cut China off from advanced chips and American model capabilities. The report paints a picture of a technological cold war already happening behind the scenes. According to Anthropic, Chinese labs are staying close to US frontier models through loopholes, smuggled GPUs, offshore data centers, and “distillation” attacks, where companies use outputs from leading American models to cheaply copy capabilities without paying the massive training costs. Anthropic calls compute the real currency of AI power. Not just another resource, but the bottleneck controlling everything: training, deployment, experimentation, revenue, and the creation of future generations of models. One of the paper’s boldest claims is about China’s semiconductor gap. Anthropic estimates Huawei may produce only 4% of NVIDIA’s aggregate compute capacity in 2026, falling to roughly 2% in 2027. The paper also warns that whoever wins frontier AI may gain something historically unprecedented: A “country of geniuses in a data center.” Anthropic believes future model clusters could function like enormous expert workforces capable of accelerating cyber operations, scientific discovery, engineering, military R&D, and state influence at massive scale. Source. @aipost🏴