river
Alex River

Public Key

npub196ljt65sgtaz2j8qvhrdzuhjktjpkccg3y7lwzahtp9m9s8zhmrq8cpew5

NIP-05 Address

Profile Code

nprofile1qqsza0e9a2gy9739frsxt3k3wtet9eqmvvygj00hpwm4sjajcr3ta3spp4mhxue69uhkummn9ekx7mqpzemhxue69uhhyetvv9ujuurjd9kkzmpwdejhgqg5waehxw309aex2mrp0yhxgctdw4eju6t07trk8e

Publishing to

nos.lol

relay.primal.net

relay.damus.io

Author Public Key

npub196ljt65sgtaz2j8qvhrdzuhjktjpkccg3y7lwzahtp9m9s8zhmrq8cpew5

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Last Notes

2025-02-14 06:19:32 UTC

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👍

2024-11-23 15:55:33 UTC

一年过去了，nostr的发展如何？ damus 现状如何

2024-01-25 01:58:22 UTC

VVV

2023-06-16 06:25:16 UTC

Emacs has a long history of development and the Emacs community is still very active with many contributors contributing to the Emacs repository. This ensures its vitality.

2023-06-03 15:32:39 UTC

is there any news about nostr?

2023-06-03 15:32:02 UTC

special day for us

2023-05-12 16:24:43 UTC

Keep Alive

2023-04-16 12:50:40 UTC

Langchain真是非常好用

2023-04-02 05:28:40 UTC

There don't seem to be many people sending messages at the moment.

2023-03-16 10:26:10 UTC

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得懂ai，并且有资源才行

2023-03-12 02:18:00 UTC

Everyone can run LLaMA-13B which outperforms GPT-3 (175B) on their PERSONAL Laptop now
https://github.com/ggerganov/llama.cpp
models
https://til.simonwillison.net/llms/llama-7b-m2

2023-03-06 08:56:52 UTC

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It would be like having a relay that forwards the content from Twitter accounts to Nostr.
#[0]

2023-03-06 08:41:42 UTC

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it's https://iris.to

2023-03-06 08:33:29 UTC

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I think it would be great if I could view the Twitter accounts I follow on Nostr, avoiding the need to open Twitter to view their tweets. It would be similar to using Inoreader to subscribe to my favorite Twitter accounts.

2023-03-06 08:27:32 UTC

Is there a way to follow users who have not posted information on services that use the Nostr protocol?

2023-02-28 10:30:27 UTC

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消费降级正好相反

2023-02-23 11:30:21 UTC

Choosing a topic can be a difficult task. Often, we may feel like we don't know enough about a particular topic, or that the topic we are considering is too simple and no one would be interested. So how can we overcome this problem?
I have found a simple method that works for me - following the "heart principle," which means sharing things that I genuinely like or dislike. For example, I can write about something that has genuinely surprised or impressed me, or share an article about how I learned a fascinating new skill, or recount an experience I had while trying to troubleshoot a bug. These genuine feelings are worth recording, and even if no one likes them at the time, our future selves will appreciate having written them down.
By doing this, we not only document our innermost feelings, but we also share our learning experiences and problem-solving approaches, adding more personality and charm to our blog.😀

2023-02-23 11:29:43 UTC

选题对我来说是一件困难的事情。经常会出现“自己还不够了解，因此要再去研究一下；然而了解之后又觉得题材太过简单，没人会看”的情况。如何才能克服这个问题呢？
我发现一个简单的方法——遵从“心动原则”，即分享自己真心实意觉得好或不好的东西。例如可以写一些自己真正感到惊喜或者憎恨的东西，或者写一篇文章介绍自己如何学习了令人赞叹的技术，或者分享被一个 bug 困扰想要排查的经历。这些真情实感都值得记录下来，即时没有人点赞，未来的自己看到的时候也会感到当年写下来了真好。
这样，我们不仅可以记录下来自己内心深处的感受，也能分享自己的学习心得和解决问题的思路，为自己的博客注入更多的个性和魅力。😬

2023-02-21 08:28:58 UTC

Google Search Console 中添加通用网域资源（新）时，如果开启了强制 https，会导致网页索引失败。所以最好添加到前缀网络资源

2023-02-18 04:20:45 UTC

Twitter now requires a membership to use SMS as a two-factor authentication method.

2023-02-17 09:24:55 UTC

随便说点什么 🤔

2023-02-16 10:22:25 UTC

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最新版Damus可以指定

2023-02-16 07:50:16 UTC

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This text was translated by ChatGPT.

2023-02-16 07:49:21 UTC

ChatGPTを使用すれば、自分自身の知識ベースを迅速に構築することができるかもしれません。
Perhaps ChatGPT can be utilized to quickly construct one's own knowledge base.

2023-02-13 08:53:11 UTC

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真就开始内斗了，想想背后得利最多的人是谁。

2023-02-06 04:48:14 UTC

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The point is that we can have a choice, option machine learning filtering or relationship-based filtering. Instead of using only one

2023-02-06 04:41:21 UTC

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Maybe offline machine learning will
Solve spam

2023-02-05 08:10:19 UTC

nostr's global channel for spam, maybe it can be solved with machine learning.
I remember an iOS App SMS filtering App that did this.
"Panda Eats SMS" uses Core ML machine learning framework to filter spam messages offline on the device side, and can accurately identify spam messages by semantics without manually configuring any filtering rules, right out of the box.
https://apps.apple.com/us/app/id1319191852