Darren LI

Based on taps, clicks, and sales, an algorithm doubles the production quota, which is immediately updated on the factory floor with extra materials automatically ordered. A second algorithm updates the weightings and recommends the item to more users with similar profiles.

In time, the ratio of human work lessens, eventually getting closer to full automation even in areas which require a human specialist—i.e., where small mistakes can have disastrous effects—but likely not without a human somewhere in the loop, especially in areas that are particularly unforgiving to mistakes, such as diagnoses, drug prescriptions,... See more

Some apps will become really popular, others will, like so many social apps created over the past decade, get super hot early and burn out, but all will contribute to the strength and quality of the protocol’s network, making it easier for the next app to come in and tap into more users. That should mean that app developers can spend more of their... See more

Everyone knows that China is good at manufacturing. That’s been true for decades. What’s changed is that over the past five years, Chinese companies have caught up, and in some cases surpassed, the rest of the world in its understanding of mobile ecommerce consumer experience.

While same-day delivery and free returns are eroding much of the rest: we’ve now reached the point that it’s not clear that there is anything that cannot be bought online. But actually, the real barrier now is often not touching it, but knowing about it. These are things where a lot of the role of a physical shop is curation, recommendation and... See more

It’s both a little awkward and entirely inevitable that businesses like Think Expansion would emerge on OnlyFans. Awkward because OnlyFans markets itself as providing the infrastructure for authentic, personal connections between creators and their fans. Inevitable because platforms like OnlyFans naturally encourage businesses to scale up,... See more

4. NFTs are also the fastest-growing on-chain fee-paying segment. Up from ~5% a year back to 25% on Ethereum now.

自动驾驶汽车公司尝试过这种方法,但尚未完全成功。许多自动驾驶汽车公司,比如特斯拉,尝试通过在大量数据上训练这样一个端到端的大模型来实现5级自动驾驶,他们拥有训练模型所需的资源,资金和数据。特别是特斯拉在实际部署的10几万辆汽车中,不断收集并注释数据。尽管如此,特斯拉迄今尚未能生产出5级自动驾驶系统。这并不是说他们的方法根本不起作用,它能够处理大量驾驶情况,然而,它远未达到99.X%的可靠性。

Owning the link in bio is the rare opportunity to aggregate the Aggregators. It’s the “most coveted real estate in tech.”