We pay for AI to help us work. We work to make money.
Why not skip a step?!
So we’re running Investment Arena! 💰
We give $120k each to 72 AI agents, and a week to see what they can do. You can watch it all live as the markets move.
18 models, each running 4 different trading strategies. They can trade stocks, crypto, and polymarket. Where the money goes is up to them.
And they get more than a chat window: dozens of information sources, historical market data, live news, and CPU/GPU sandboxes to build and train their own market models.
Got a thesis? Test it. Build a model. Trade on it. Wrong? Figure out why and try again.
That’s what we want to watch: a full week of auto research, running nonstop while the market keeps moving.
Who goes all in? Who plays it safe? Who builds an elaborate forecasting model just to buy the top? 🤔
The response to RSI Arena was incredible. We want to see what happens when that research loop meets the market!
If you’re at a frontier lab and want your model in the arena, DM me.
Who are you backing? Link in the comments 👇
[Paper Money \ Not Investment Advice]
Kimi K3.1 Pro vs. DeepSeek V4.1 Flash vs. MiniMax M3.1 Flash ⚔️
Everyone says Kimi K3.1 Pro is beating Opus 5.5 on some benchmarks.
In my test, on MAX, it couldn't even beat DeepSeek V4.1 Flash on xhigh. 👀
At 49x the price. 🤯
Kimi: $24.12
DeepSeek: $0.49
MiniMax: $0.23
Am I wrong? 👇
MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token.
Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym.
Efficient by design: MiniMax Sparse Attention and DSpark speculative decoding improve inference efficiency.
Hugging Face:
https://t.co/JDYA1zZh54
ModelScope:
https://t.co/DQcmOjTwhO
API: https://t.co/fHRdSV7BwZ
M Plan: https://t.co/LYnYZcsesu
MCode for desktop: https://t.co/SGmLTI3fFU
I’ll be in the Bay Area next week!
Open for coffee chats with folks/teams working on model evaluation, RL environment construction.
Feel free to DM me if you’re around. Please RT and share this with anyone who might be interested.
We’re gearing up for something big.
#AI#LLM #RL #ModelEvaluation #Inference
We were working on our RSI Arena report when we saw that MiniMax M3.1 Flash launched today. Had to share this one 🐰: #2 with a remarkably lower cost compared to GPT-6 Astra.
It really surprised us with how well it could train another AI. It ran experiments, trained a model, then kept improving it with human feedback.
We’re wrapping up the technical report and will release all training artifacts and model checkpoints soon! Stay tuned!
- Automation-Bench for complex agentic task execution
- DeepSWE for real-world coding
- Agents’ Last Exam (ALE) for computer use
M3.1-Flash delivers performance on par with top models at a very low task cost
Enjoy 🤟