Darren LI

我们看到了做AI Coding的三种方法,这三种方法对应三个挑战:

1/ 如何创造更强的上下文感知能力?

2/ 如何让AI Agent在端到端编码任务中做的更好?

3/ 有人押注于编码模型,这能否带来长期的差异化?

原来线性强调的是TPF,technology problem fit,但在AI应用这件事上,技术门槛并不高,因为核心技术是由大模型提供的。但应用层对创始人想法的要求是更高的,对快速动作、快速组队的要求也更高。经过了几次决策流程我们发现了原来做法的问题,所以决定,只要找到right problem、right people

10. A lot of founders are too addicted to operation numbers. The number of followers on Discord, the number of Twitter followers. These are the worst vanity tricks, and I ask founders to ignore these numbers because often quality is more important than quantity.

It gives away everything that Linktree charges for for free, and charges for features beyond what Linktree offers -- custom domains, multiple pages, and direct monetization. Additionally, because Beacons allows Creators to monetize directly, it can make money by taking a small cut of each transaction.

StreamingLLM can enable Llama-2, MPT, Falcon, and Pythia to perform stable and efficient language modeling with up to 4 million tokens and more.

The only way to beat them is if a new social network has such a massive advantage in quality of content and interactions that people start straddling both until the original network dies.

BabyAGI differs in that it explicitly plans out a sequence of actions. It then executes on the first one, and then uses the result of that to do another planning step and update it’s task list. Our intuition is that this enables it to execute better on more complex and involved tasks, by using the planning steps essentially as a state tracking... See more