Very Chinese Time
AI-Powered Future Career Navigator
What it does
Experience China's 2030 blueprint through a Claymation world built with Kling AI, Nano Banana, and Vibe Coding. The Experience: Align your personal goals with China's 15th Five-Year Plan (2026–2030). Explore 3 dimensions, unlock your personalized Radar Map, and discover your fit in the future of work.
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- ATAI Timeline – 171 LLMs from Transformer (2017) to GPT-5.3 (2026)Feb 2026 · llm-timeline.com · ▲174
Interactive timeline of every major Large Language Model. Filterable by open/closed source, searchable, 54 organizations tracked.
2026 独立开发 AI 工具箱：从 Idea 到 Launch 的全栈加速方案Feb 2026 · ▲2告别手动撸码的旧时代。集成 15+ 顶尖 AI 工具实战指南，一套覆盖设计、开发、营销的闭环工作流，提升你的产品上线速度
- IMI made an AI based career navigator2024 · moveup.ai · ▲9
Many people express that despite working hard, they don't feel like they are in the right career. Instead of getting adhoc advice from friends and family or requiring serendipitity/fortune in landing in a desirable career progression, I made a career planning tool which lets you upload a resume or public linkedin profile and see alternative career paths. You can play with your map, explore alternative trajectories, specify a goal, understand job titles, see job listings and more. I am looking to understand what, if any aspect of this tool is useful, and how I would proceed to build upon…
- IBI built a website showing the likelihood of the AI bubble to popJul 2026 · laurentiugabriel.github.io · ▲11
I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
