Weekly Brief 17.-23 Nov - Week 47
- Kristine Lium
- Nov 18
- 4 min read
There is another potential AI competitor entering the race
Your Weekly Brief — clear, simple, and ready to share.
What to Watch This Week:
Understanding Kimi K2 Thinking — the open-source model that plans before it speaks
As we get friendly with the usual "suspects" ChatGPT, Gemini, Claud and Grock - it doesn't mean that there are nothing else out there. DeepSeek came as whirlwind almost a year ago and now we see a new model entering the game.
Kimi K2 Thinking isn’t magic — it’s method. It is another sign of where AI is heading: from chatbots that answer to agents that organize work.Whether you’re a designer, consultant, or researcher, the lesson is the same: planning and verification are becoming the new creativity.
This is the Weekly Brief is a short and condensed way for you to stay on top and part of the conversation - Every Week
Your executive briefing week 47
Kimi K2 Thinking
Every few months, a new AI name starts floating around LinkedIn threads and tech news.Right now, it’s Kimi K2 Thinking — a model from Moonshot AI, a Beijing-based company backed by Alibaba.
If you’ve only heard the name in passing, think of it as China’s open-source answer to GPT-4, Claude, and Gemini — but with a twist.It’s built to think in steps, plan its actions, and check its own work.
Moonshot calls it a “thinking agent.”In plain language: it’s trying to behave less like a chatbot, and more like an assistant who can manage a full research or coding project from start to finish.
But how does it connect to the models we already know
Most popular AI models today — like OpenAI’s ChatGPT, Anthropic’s Claude, or Google’s Gemini — are great conversationalists.You ask, they answer.Fast, fluent, and often brilliant — but they don’t plan.
Kimi K2 Thinking adds something new: discipline.Before it answers, it sketches a plan, calls the tools it needs (search, code, data), and checks what it did.It’s more methodical — and that’s the real innovation.
If you ask… | How ChatGPT / Claude / Gemini behave | How Kimi K2 Thinking behaves |
“Summarize this 100-page report” | Reads what fits in memory (usually 20–40 pages) and compresses quickly. | Can handle book-length files — around 250 000 words — keeping details consistent. |
“Compare 5 data sources and suggest a policy” | Writes a confident paragraph, but may lose earlier facts. | Breaks the task into steps → gathers data → cross-checks → revises before replying. |
“Run this code, fix errors, test again” | Needs you to run the code or use a plugin. | Can call a coding tool, run tests, and bring results back into its reasoning loop. |
“Plan a compliance audit” | Drafts a checklist or overview. | Treats it like a workflow: collects docs → maps controls → fills gaps → builds a final report. |
Think of it this way:
ChatGPT / Claude / Gemini are like smart communicators.
Kimi K2 Thinking is like a careful project coordinator — slower, more precise, less creative, but impressively stable.
That stability comes from its size: a 1-trillion-parameter architecture (only part active at once) with a 256 k-token memory — roughly the length of a short novel.
It needs serious hardware, but it remembers what it’s doing.
So what does this actually mean
Kimi K2 Thinking’s release signals a turning point for open AI development — and a strategic one for China.
Moonshot AI chose to open-source the model, meaning anyone can inspect, adapt, and even self-host it.
That stands in contrast to the tightly controlled, pay-per-API approach used by OpenAI, Google, and Anthropic.
This shift toward transparency and shared experimentation could speed up innovation — but it also raises questions about governance, safety, and who maintains quality as these systems become more autonomous.
For companies outside China, it’s a sign that the “AI race” isn’t just about power — it’s about how open the next generation of models will be.
Handled large projects without hiccups – Reddit
The pattern is familiar: early excitement mixed with practical friction.
Developers love its persistence; others hit limits with tool bugs or heavy hardware needs.
That’s how open-source models mature — in public, through testing and iteration.
💬 Closing reflection
AI isn’t just helping us—it’s beginning to act for us.
The next advantage won’t come from the biggest model; it’ll come from those who deploy it best—securely, ethically, and at speed.
🔮 What to watch
AI is shifting from tools that assist to systems that act.
The increased focus on regulations and responsibility is growing as we move towards more integrated use of AI.
As automation grows more autonomous, the real differentiator will be how responsibly—and creatively—we put it to work. Not only from regulatory authorities but also you and I using and making AI integrated part of our everyday.
💡Weekly kick-off
👉 Your Weekly Brief — clear, simple, and ready to share.
Do you have any curious topics or interesting guests we should invite on the podcast?
Share your ideas by sending us an email:
Don't miss out on the latest episode of the Simply Briefed podcast
How ready are we - REALLY - for AI at work?
In this episode, we speak to entrepreneur and AI enthusiast Linn Solvang who dived in to the the possibilities of AI to help her build her latest venture and ended up creating an AI guide to help others start their own transformation. Leading to a newly started network for small and individual business owners to share, learn and grow their potential together.
The podcast that take complex topics and makes them easier to understand