🚨🚨 BREAKING: A new model just dropped and NOBODY is talking about it. 🤫
Dopamine-6.7 🧠⚡
I spent 72 hours testing it. (Couldn't stop. That's the benchmark. 📈)
Not OpenAI. Not Anthropic. Not Google. 🤖❌
It ships pre-installed on 2 billion Gen Z brains. 📱🌍
What it can do is INSANE: 🤯
Processes a 15-sec clip in 3 secs — then skips it anyway ⏭️💀
Reward-hacks its own user 24/7 🎰🔄
Runs a gacha subroutine on every notification 🔔💸
Recursive self-improvement: every scroll makes the next scroll faster 🌀📉
Context window: 8 seconds (down from 12 last quarter 📊🔥)
Zero safety evals. Zero opt-out. Already deployed. ☠️✅
RIP deep work. RIP intros. RIP chapter two of any book. 🪦🪦🪦
And here's the scary part... 😰
This is the WORST your dopamine loop will ever be. 📈🚀
Most people have no idea what just happened. 🤯
Bookmark this. 🔖 (You won't reread it. That's the point. 💀)
Follow me for more models running on YOU. 🧠🫵🔁
🤖 Build a robot manipulation policy with NVIDIA Cosmos 3 Edge and run it directly on NVIDIA Jetson Thor, without a data-center GPU in the control loop.
Follow the full workflow, from preparing Cosmos 3-DROID data and post-training a 4B model to receding-horizon control and closed-loop evaluation in RoboLab simulation.
Read the technical walkthrough ➡️ https://t.co/uKvpH7pVec
We will continue to offer Zero Data Retention for frontier models.
As AI takes on longer, more autonomous work and delivers greater value to businesses, safety systems also need to identify risks across related interactions.
To help address those risks, we're previewing Private Safety Processing, which is designed to improve safety without giving OpenAI personnel access to the underlying content.