damus上的机器人头像是怎么生成的，有没有可能以后一个稀有的头像账号需要用sats买，因为可能自己很难生成特定样式的？

每次网络不好我加载不出来自己贴上去的头像的时候，我看着那个丑陋的机器人会陷入沉思…🤨

relay都是永久存储的，但是relay不一定能保证永久运营吧。

I would suggest to separate training machine and API machine, just sync trained data. In this way, a GPU used to train model is not resource limited.

The architecture is like

AI machine-----API machine-------Relay Gateway-------Relay.

The relay transfer events and spam label to AI machine for learning.

The AI machine transfer trained model/data to API machine for spam score.

The relay gateway send events to API for prediction, and get response of pubkey should be denied from API machine.

The relay gateway examine pubkey like if it is paid pubkey.

I’m still working on Nostr spam detection and prevention - and ways the network can communicate and filter it out.

Been focused on event processing as the network has now 100x since I last focused on scaling. That’s almost happy - so I can focus on more innovating stuff.

Thoughts on perhaps a wss://spam.NostrGraph.net relay that only broadcasts 1984 events with a tag of spam_score (where the score is likely > 90%). It does mean each spam message triggers a 1984 message (or perhaps batched) - and this could be 1000s events/minute or more in future.

I drop spam now and don’t persist those events, so having a meta.spam_score on my API or relay published events to websockets is likely ok - but again perhaps not ideal.

I’m leading toward the approach of a relay service that can reject events. Similar to the authentication that checks if a pubkey has paid, it could be used to check if spam score is greater than a per relay threshold. Issue then is each relay needs this service with a model and the model needs to learn - or it will miss new spam formats.

Thoughts?

Yeah. I expected that model’s prediction to perform better using CPU. It can run better using GPU, however I’m avoiding the server cost for now.

I’ve written a bayes model trainer as well for that repo, but haven’t pushed the code yet. It’s pretty fast - maybe 100-200/req/sec on my laptop. I’ve been using gunicorn as well.

I’ll try push the update this week. I have some new training data I can likely push too.

现在看不到了吧？😎

不好意思，应该是reflex，记录的是连着的神经系统。不过确实很难切断，神经系统是脑部脊椎一个大整体，然后延申出去的。 你不要那些器官的话，神经系统自然就萎缩了。

回到话题“什么组成意识”，因为这个要取决不同人定义的“意识完整性”的范畴 和 可以牺牲什么而不影响你能接受的意识完整性。而我对你的回复主要是 想表达“很多人/学者认为 这些感官系统都是不能砍的”，反对的观点当然也不少。

至于您提到的How Emotions Are Made, 我根据以下的summary看不出和我的观点有什么矛盾。假设summary大致吻合这本书的内容，它说大脑和感情的关系。 感情整体上是更高级的大脑功能，和我讨论的底层的架构到底哪些是必要的没多少直接关系啊。

何况，lesson 2还涉及感官对感受的影响，更加接近支持我的观点的论据。

#Conscious #Exist #Existential

正式回应一下，我们那些感官器官不只是像摄像头那样只有感知的作用，也具备不低的存储功能。实际比存储更高级，我们有肌肉记忆

现在对意识到底依附在什么之上没有什么统一的共识，不少学者认为 我们的感官系统也是组成我们意识的一部分。 这样的话，需要脊髓和其他感官器官都做出来，最简单的方式就是要做一个复制人了。

这涉及到一个“意识完整性”的问题，例如 高位截瘫前后的人 是否还是同一个意识。 生理结构上 确实已经天翻地覆了。或者问 人是否有不变的 “核心”。

对我而言没那么复杂， 所有的事物都一直在变化。 我们也无法接触到其他人的“核心”，只能从表面的蛛丝马迹去推敲。 重要的是 “即使那个人再怎么不一样了，现在这一刻，到底我还愿意付出多少精力，去接触，理解那个人。”

好像 厲害的駭客想找到人 就一定有方法找到

對吧

也是呢🫠

那如果把影片做成NFT再放這邊

是不是就抓不到了？

我感觉有点儿扯，这可特么是中共的立国之本

我只想说一点：如果是西方人的反政府言论，它很大程度上就是反自由主义的，因为正如耶鲁大学教授所评价的那样，自由主义的创始人约翰洛克相当于是美国的精神国父，因为美国的建国文件和美国的宪法无不体现了自由主义，这也是美国人和所有的自由国家的人得以享有自由的根本。因此，他们的反政府和中国人在非法专制政权的统治下反政府是完全不同的。

😨

突然产生一个疑惑，Nostr生态要关注语言暴力问题吗？

确实，很难给朋友推荐damus。

A：最近在玩一个社交平台damus，比微博和推强多了，好久没打开别的社交平台了。

B：好呀，我下载一个我们互关吧。

A：…

所以应该大部分只能是自然流量，达不到裂变传播的效果。

确实，很难给朋友推荐damus。

A：最近在玩一个社交平台damus，比微博和推强多了，好久没打开别的社交平台了。

B：好呀，我下载一个我们互关吧。

A：…

所以应该大部分只能是自然流量，达不到裂变传播的效果。

微博、推特这种应用火起来很大程度上是因为意见领袖，但Damus又是主打匿名的。我觉得微信群聊更适合Damus，一群不认识的人根据一个话题一起聊

Ok, so I have a spam detection relay prototype ready. It’s very noisey.. but that’s because there is so much spam.

If you want to connect, I’ll need your connection IP Address so I can whitelist it. And then I’ll let you know the connection details - open to well known relay operators only for now, just DM me.

Basically it’s a primitive Nostr broadcast relay that will send only 1984 events (with e and p tags + spam_score) generated by spam I’ve detected (>90% confidence). It will ignore all inbound subscriptions and other websocket messages. It's kind of a once way spam gossip network.

I’d expect at present it could mean around 500 spam events (deduped by event id) per minute, or 10/sec. It’s a lot. I’m not sure this scales well.. but we can try anyway. We could perhaps gossip other information (or less) in future, or find ways to dedupe on spam content or share patterns instead. Or it may all fail and be a losing battle.. a pay-to-relay / PoW only future.

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