OpenAI just stripped Microsoft's exclusive license, and they uncapped their enterprise business,

and Microsoft's stock is paying for ahead of Wednesday's earning call.

But before that, the AlphaGo guy raised $1.1 billion to skip LLMs entirely.

Elon Musk and Sam Altman have both walked into a courtroom in Oakland together,

and a German robotic startup has convinced

BMW and PepsiCo that robots should think before they act. All right, first up, we have a

Suttgart based startup called Secreact. They just raised $110 million in a series B round of funding

to build robots that simulate the consequences

of their actions before they actually move. This whole round was led by headline and they also had

some participation from Bullhound, Daphne, they had Felix Capital and then I think a bunch of their

existing backers like Air Street and Creedham. They announced Sunday and the money funds two things in particular.

Number one, they're opening a Boston office and they're scaling their Cortex 2.0, which they're

calling kind of their robot brain. This is what's interesting specifically about Cortex

2.0. It bolts a world model onto a vision language action stack. So basically all of the robots that we have

today, the AI can just see things and then it picks. Cortex 2 is going to think first before it sees

and makes an action. It runs possible actions through a learning model of physics and object behavior.

So, you know, it's like looking at a stack of books and it's like, if I move forward too fast and bump that over, this is what's going to happen. If I move my arm to grab this book, this is what's going to happen. So it's like predicting what its actions will, you know, what, what course, what things will happen, the physics that will happen after it makes a certain movement, which is really interesting in safety and in, you know, making sure that stock inside of

warehouses isn't getting destroyed by robots. They're really understanding the implications

of their actions, which is very interesting. And in addition to this, when it is looking and

deciding what to do, it's going to pick basically the action that is most

likely to work, and then it's going to update in real time as the scene changes, right? Because

in a warehouse, when a robot's sitting there looking at, you know, a stack of product to go

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