01What MiniMax M3 Is and How It Works
MiniMax M3 is a new AI model from the Chinese company MiniMax, released on June 1st. It runs on its own for hours, remembers a huge amount, and creates images, video, and voiceovers. This makes it different from a normal chatbot.
M3 works by taking a task and then trying again and again until it finishes. In a test, it worked for 24 hours straight, making nearly 2000 separate moves across 147 tries. Nobody touched it during that time.
It kept hitting walls but kept going.
Think of M3 as a worker with a giant brain and strong persistence. It can read and remember about a million words at once. That is like handing it a stack of books taller than you, and it remembers every page while it works.
This lets it handle big jobs that would overwhelm other models.
02Main Features of MiniMax M3
M3 has three big features that make it a real night shift worker. First, it has a huge memory of about one million words. You can give it every note, past email, and your full content folder, and it works from the complete picture, not just a tiny scratch.
Second, M3 is built to handle pictures and video too. It can look at a video, make an image, create a voiceover, or generate videos. This turns it into a full media studio, not just a text tool.
Third, M3 is persistent. Most AI models give up after about 30 tries. M3 kept going and only landed its best answer at attempt 145.
It hits wall after wall and just keeps plugging away. That makes it perfect for long, boring, monotonous tasks that drain you.
03How to Set Up MiniMax M3 with Hermes
Setting up M3 to work for you is simpler than you might think. You do not need to code. The host's team built an agent operating system called the AI Profit Boardroom.
Inside, M3, Hermes, and Claude already work together as a team.
- Get the zip file from the AI Profit Boardroom that contains the whole agent operating system.
- Follow the 30-day roadmap that walks you through plugging in each piece, step by step.
- Watch the video tutorials for every click so you know exactly what to do.
- Join the community with over 3,300 business owners, many of whom had never opened an AI tool before.
- Use the four weekly live coaching calls to share your screen and get unstuck on the spot.
When something won't connect at 11 p.m., you are not alone. There are always people online, like the 116 members online when the host was recording.
04How to Use MiniMax M3 for Content Creation
Once M3 is plugged into Hermes, using it is as simple as typing what you want. In Hermes, there is one box. You type a request, and it goes off and makes it.
For example, the host generated an image of a dragon in a couple of clicks.
You can also create videos and voiceovers. The host showed how to go to the video tab, type a video description, and get it working. You could even generate a voiceover for a podcast.
Everything happens in the background.
All your creations are stored in the workspace section. You have images, folders, and everything organized in one place. You do not need to dig through 10 apps to find something you made an hour ago.
A creator can line up a bunch of posts before going to sleep, then wake up to the whole batch sitting in a folder.
There is also a goal section where you can type a goal and M3 just gets to work. The system shares one memory, and you can plug in Obsidian for a powerful, free memory.
05Results and Comparisons Shown in the Episode
In the episode, the host showed benchmark numbers from MiniMax's own lab. M3 beat GPT-5.5 and Gemini 3.1 Pro on certain coding tasks. The host noted these numbers are not from outside checkers yet, so take them as a strong first signal, not gospel.
The most striking result was the 24-hour autonomy test. M3 was given one brutally hard job with no answer to copy. It ran on its own for 24 hours, making nearly 2000 separate moves across 147 tries.
Nobody touched it. The host pointed out that most models give up after about 30 tries, but M3 kept going and landed its best answer at attempt 145.
This shows a new level of persistence. The jobs that drain you are not the quick ones, but the long, boring stuff. M3 can try a hundred times and just do it, even when you are not there.
06Tips, Limits, and Mistakes to Avoid
A key limit is that the benchmark numbers come from MiniMax's own lab, not outside checkers. So treat them as promising but not proven. The host warns that most people do AI the old way: one box, type a question, copy the answer, paste it somewhere else, run between 10 apps.
That makes you the glue, and the AI forgets everything when you close the tab.
To avoid this, think of AI as a team, not a chatbot. Stop being the glue between tools. Instead, put AI workers in one room with one memory, like the agent operating system shown.
Many people think they are not techie enough to set it up. The host says writing it up yourself is hard because nobody hands you the order. That is why the AI Profit Boardroom exists.
You do not need to code. You just tell M3 what you want. People who never touched AI are already running their own night shift.
Do not wait for the dust to settle. The host says it is not going to calm down. The people who win are the ones who start while it is messy.
07Who MiniMax M3 Is For and Why It Matters
M3 is for business owners, coaches, and creators who want to stop doing every shift alone. If you run a business, you can hand M3 the job at 6 p.m., have dinner, watch a film, and go to bed. It keeps grinding away at 2 a.m., 4 a.m., and 6 a.m., so you wake up to finished work.
A coach could hand it a year of client check-ins and ask it to spot which clients are about to drop off. A creator can line up posts before sleep and wake up to a whole batch done. This turns your AI into your first hire that works a shift you cannot.
This matters because M3 combines three things that never came together: frontier-level performance, night shift work, and low cost. Most models pick any two. M3 has all three at this price, which is a shock.
By the time this feels safe, early movers will be charging more, working less, and taking the clients you wanted.
