Still, as Baszucki made clear, the goal is still actual social networking: surely that will always be better than interacting with an AI! Or will it? It seems to me that perhaps the most important constraint on the web — to actually interact with people as if they are, well, people — disappeared a long time ago.

Always-on socialization: These avatars would learn from the behavior of an individual consumer, then leverage those lessons to continue socializing once the user logged off. While you work, your avatar could work on finding fruitful connections, eventually introducing you.

A secondary consideration is what type of interaction an application is building towards in the long run. Is is about one-to-one interactions or broadcasting to large audiences? What percentage of your users do you want creating as opposed to just consuming? Is your app best served by a graph of people who know each other in real life or by a graph... See more

赛道特点?

1)劳动力替代/补强需求下的大市场(TAM),远期2C场景是万亿规模产业链;2)人工智能技术驱动下高进入壁垒(特别是偏具身模型的算法公司);3)存在规模效应带来头部集中(类比新能源车竞争格局);4)目前智能发展阶段仍然较早

I’ve seen many businesses trying to solve the problem of individuals getting together offline for activities. Existing solutions to this problem seem to be good enough; we can text easily to set up these plans.

I'm posting here three products that are doing very well. One is Google Earth - I often use it to learn geography. This product is great but not profitable. Scratch -- programming for children. I don’t know whether it makes money or not, but it’s also really great. Roblox, a kind of UGC sandbox game, which is very different from games that we usual

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The last feature—mutual matching—is marketed as a safety feature, helping decrease the chance of unsolicited harassment. But, as a friend has said, “the problem is that the apps assume textual harassment is a worse problem for women than failure to actually meet anyone interesting.” Rather than introduce new technical patterns, the apps maintain th... See more