Traditional narrative is that you need tons of traces of actual execution to post-train and get models right. Nobody seems to use Kimi API from Moonshot, I bet everybody is using them on neoclouds/inference providers like Together, Nebius, Fireworks etc. where unlikely they will get traces (in fact, thats the whole promise of these inf providers). How are Kimi models improving so quickly? Is this just distillation (though Sol/Fable just came out so I find it hard to believe)
OP here. We all know leadership behaviors that lead to success, but what do we need to watch out for? How do we really prioritize what activities to focus on for new managers? I was recently helping somebody through this question, and decided to pen my thoughts for a broader audience.
OP here. Always a good place to be in. Hard numbers is more valuable but you need to think about how to address the concerns else you will hit a glass ceiling, or the moment they find an alternative they will jump. Thinking about lock-in is very important.
Strongly believe that you should ask for payment - until then everybody gives nice feedback. But the proof of the putting is in pulling your card/checkbook/Purchase Order out and eating the pudding.
OP here. Superhuman's framework is great, but in many enterprises the buyer and decision maker is different - most times you have to build a stronger justification for the exec sponsor to pull the trigger using the value/RoI framework unless the product is cheap enough to flow below the radar. You also need to justify why it makes sense to yank out what you have right now and replace with something else causing a lot of disruption.
Superhuman is not a b2b purchase but more of a prosumer purchase, so the framework works really well for them.
OP here. Agree with this. Lack of logos means that you need to do a lot more due diligence so the buyer has to really sneak their head out and put a stake on the ground to buy the product. References & logos make it far easier to justify that the product is well respected and make the process easier. It helps avoid the question: "am I the sucker?"
The startup activity in India is the bright side of the story. We are still riding the boom that came due to Jio and mass adoption of "data" - but I worry that the overall slowdown in the economy will catch up with the startup ecosystem at some point.
Shamelessly sharing my own post on HN to see what people think. I've been thinking about this a long time. We make decisions all the time - but what need quick execution vs slow deliberate thinking?
I'm a bit confused on whether its appropriate to share your own writing on HN. I haven't done so earlier as a result. I searched a bit but couldn't find any clear information around it, so taking a chance to see what people say about it.