I am considering buying CCXI (Churchill Capital Corp XI) and holding it through the proposed merger with Agility Robotics. If the merger closes, will my CCXI Class A shares automatically be converted into the resulting Agility Robotics/public-company shares in my INDmoney US-stock account? Also, will fractional shares resulting from the corporate action be credited or liquidated for cash?
So my assumption is: So far labs have made public max 2-3T param models based on different reports. And they are currently training or have trained 10T param models internally. Another assumption I'm making: If the models are increasing params by 3x , they would have to proportionally increase the data by 3x too or some margin.But we have also been hearing news of hitting the data wall based on internet data since the gpt 4 days. So what gives? Where are they getting so much data from? Is most of it reasoning chains generated by models during inference? Or is it reasoning traces from actual humans thanks to mercor, etc? Anyone know the exact mix? Or what's going on here? Seems like a lot of data needed all of a sudden.