A team of cybersecurity experts offers the following services:

A team of cybersecurity experts offers the following services: 0. Security Assessment. You provide a list of IP addresses and our team identifies the maximum number of vulnerabilities without going deep into the internal infrastructure in case of exploitation. 1. External Penetration Test. You provide a list of IP addresses or a link to the official site and we simulate the actions of an attacker who seeks to penetrate the internal infrastructure. 2. Digital Fingerprinting. You provide nothing but the name and official website of the company and we conduct Open Source INTelligence (OSINT) to identify information that an attacker can gather without actively interacting with the infrastructure. 3. Automated Vulnerability Scanning. You provide a list of IP addresses and we run specialized vulnerability scanners. 4. Threat Monitoring. You provide a list of the software being used and our team monitors public vulnerabilities within the agreed period of time. 5. Password Attacks and Password Policy Audit. You provide a list of entry points and usernames (optional), and we conduct password attacks and audit the applied password policies. 6. Ongoing Assessment. You specify a service and we conduct security engagements on a regular basis. After forming the Rules of Engagement and receiving the input data, we form a work group, agree on a deadline and select a contact person for communication. At the end we provide a detailed report on the results (with recommendations), the necessary accompanying materials (logs, scanner reports), as well as the warranty period, within which we can verify that the vulnerabilities are properly fixed. #Security Contacts: [email protected]

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#网友投稿 图片中这狗逼菲律宾女中介。 黑心得一批， 非常现实。

#网友投稿 图片中这狗逼菲律宾女中介。 黑心得一批， 非常现实。 主要负责处理Two central和 Three central房源。 平时消息 回复挺快。 合同正常到期， 离开前也把房间恢复如初， 让人打扫干干净净。 搬离 前一秒还在联系，让把钥匙交接他同事， 钥匙一交接， 仅仅下一秒， 直接失联，消息不看， 也不退还押金。 多半想着菲律宾禁止pogo ， 很多公司搬离， 大量外国人 离境。 所以也不管你是否pogo， 就直接黑 押金费用。 能不退一个是一个。 平时一直通过 telegram联系，因为回复挺快， 就没有留手机号码。 没想到搬离后，马上隐藏电话号码。 最让人恶心的是， 账号每天都有在线（可能仍在回复其他租客信息） 但是唯独不看我消息。 所以也提醒， 其他人， 如果中介是同一个人， 一定要小心。 也请知道的， 公布她的电话号码和工作地点。 严重怀疑房东退款了押金， 被她拿了。 因为我之前租房 所有中介， 正常合同到期， 全退还了押金， 唯独这个， 让我栽了跟头。 The son of a bitch Filipino female agent in the picture. Black heart, very realistic. Mainly responsible for handling Two central and Three central housing resources. I usually reply very quickly to the message. The contract expires normally. Before leaving, the room should be restored to its original state and let people clean it. Moving away, she was still in touch a second ago and asked him to hand over the key to his colleague. As soon as the key is handed over, Only the next second, the contact was directly lost, the message was not read, and the deposit was not refunded. Most of them think that the Philippines bans pogo, many companies move out, and a large number of foreigners leave the country. So regardless of whether you are pogo or not, you can directly black the deposit fee. If you don't want to retreat one by one. I usually keep in touch through telegram, but because the reply is very fast, I don't leave my mobile phone number. Unexpectedly, after moving out, the phone number was hidden immediately. The most disgusting thing is that the account is online every day (maybe still replying to other tenants' messages), but they don't read my messages. Therefore, I also remind others that if the intermediary is the same person, they must be careful. Please also know and announce her phone number and workplace. It is seriously suspected that the landlord refunded the deposit and was taken by her. Because I rented a house before, all the agents, The normal contract expires, and the deposit is fully refunded. Only this made me fall into the heel. 东南亚博彩社交流群：@DNYSQ880 东南亚华人大事件曝光 https://t.me/DNY8898 免费投稿爆料/广告投放： @LY99911

#千里表白我们第一次见面是在两个多月前，在亚太羽毛球场。那天晚上，我们一起打羽毛球，交换了联系方式，开始每天晚上聊天。但两周后，

#千里表白我们第一次见面是在两个多月前，在亚太羽毛球场。那天晚上，我们一起打羽毛球，交换了联系方式，开始每天晚上聊天。但两周后，我不得不离开去新加坡去攻读音乐学位。在我离开之前，我让她等我，并承诺毕业后会回来。 即使在我回到仰光之后，我们仍然继续聊天，直到有一天，她突然没有任何解释就屏蔽了我。我太爱她了，我不明白我们的关系怎么会就这样结束。农历新年那天，我和妈妈、妹妹回到了 SKK，希望见到她。我们在她宿舍前等了五个小时，但她仍然在参加公司的聚会。看到妈妈泪流满面，姐姐决定我们应该回到仰光。 那一刻我心碎了。我一直无法继续前进。我甚至放弃了完成音乐学位的机会，因为这一切都压在我身上，我无法专心学习。现在，我回到了 SKK，仍然怀抱希望。如果你看到这个，请解除对我的屏蔽。我只是想谈谈，了解一下，因为我从未停止过关心。 We first met at Yatai Badminton Court a little over two months ago. That night, we played badminton together, exchanged contacts, and started talking every night. But two weeks later, I had to leave for Singapore to pursue my music degree. Before I left, I asked her to wait for me, promising to return after graduation.Even after I went back to Yangon, we continued our conversations,until one day, she suddenly blocked me without any explanation. I love her so much, and I can't understand how our connection could just end like that.On Chinese New Year, I returned to SKK with my mom and sister, hoping to see her. We waited in front of her dormitory for five hours, but she was still at her company’s party. Seeing my mom break down in tears, my sister decided we should go back to Yangon. That moment shattered me.I haven’t been able to move on. I even gave up my opportunity to complete my music degree because I couldn’t focus on my studies with all of this weighing on me. Now, I'm back in SKK, still holding onto hope. If you ever see this, please unblock me. I just want to talk, to understand,because I never stopped caring. 展开有翻译，有点长， PS：投稿人说这是女孩子的照片。 派大星看起来怎么感觉是网图啊 ~~~~~~~~~~~~~~~~~~~~~~~~~~ 订阅亚太新闻频道  ↓ 欢迎爆料： @yt1338

（注：神经突触与神经元的动作电位触发时间的先后关系，决定了它们连接强度是增强还是减弱。如果突触的激活时序领先于神经元的动作电位，

（注：神经突触与神经元的动作电位触发时间的先后关系，决定了它们连接强度是增强还是减弱。如果突触的激活时序领先于神经元的动作电位，那么该连接获得强化；如果突触的激活时序滞后于神经元的动作电位,那么该连接获得削弱。It's a particular learning rule that uses Spike timing to figure out how to to determine how to update the synapses. So it's kind of like if the synaptic fires into the neuron before the neuron fires, then it strengthens the synapse. And if the signals fire into the neurons shortly after the neuron fired, then it weakens the synapse.） 神经网络另一个重要的点在于loss函数的提出，它为深度学习提供了可行的训练方法。很有趣的一点是，在现实世界中，我们并没有看到对应loss函数的东西 - 进化论是以loss的方式来迭代的吗？经济系统或社会系统存在loss吗？似乎都不是。 2. 神经网络的本质 Ilya认为，大脑也好，大模型也好，本质上都是把知识压缩到一个高维的隐空间当中。每一个新的观测数据到来的时候，它就会通过连接来更新隐空间中的一些参数。知识就存储在这些连接的权重里。（I guess what is a recurring role that you have a neural network which maintains a high dimensional, hidden state, and then within observation arrives. It updates its high dimensional, hidden state through its connections in some way. You could say the knowledge is stored in the connections.）压缩的过程有点类似于人类的记忆和遗忘过程，你忘掉了绝大部分没用的信息，而只是记住了那些有用的，并且将它们整合记忆。 压缩的过程就是“寻找最小回路”（search for small circuits）的过程。在数学上，有一种理论是“最短描述长度”原则，即如果你能够找到能够产生所需数据的最小程序，那么你就能够用这个程序做出最好的预测。（If you can find the shortest program that outputs the data in your disposal, then you will be able to use it to make the best prediction possible.）这是数学上可以被证明的。但“最短描述长度”原则是一个理论原则，在实践中很难准确实现。所以在实践中，针对给定的数据集，我们只能使用神经网络找到“尽量短小”的回路。因此，可以将神经网络的训练过程理解为，慢慢将训练数据集里的信息熵迁移到神经网络的参数中，而最终沉淀下来的这些回路刚好不算太大。（If you imaine the training process of a neural network as you slowly transmit entropy from the data set to the parameters, then somehow the amount of information in the weights ends up being not very large, which would explain why the general is so well.） 如果你能高效压缩信息，那么你一定已经得到知识了。GPT已经是一个世界模型了，it knows all the intricacies。尽管你做的看似只是predict the next word这么简单的事情，但这只是优化手段而已。 自然语言是最好的latent space，而且是最容易做alignment的latent space。 3. Ilya研究生涯中的两个重要时刻。 第一个时刻，是2012年做AlexNet，Alex Krjevsky用GPU来编写足够快的卷积程序，让CNN训练变得超级快，拉开了CV时代的序幕。这是Ilya的顿悟时刻，觉得神经网络这条路是能走通的。 第二个时刻，Ilya对大模型的信心来自于早年团队的一个发现。当时，团队训练一个LSTM模型来预测Amazon评论中的下一个character，当参数从500到4000的时候，就会出现一个专门的neuron来表达评论的sentiment是正面还是负面。于是，团队猜测，当模型足够大、参数足够多的时候，句法已经被充分表达了（run out of syntax to model），多余的参数开始学会捕捉语义信息。这说明了通过“预测下一个字”的训练方法，可以让模型学到更多隐藏的信息。 4. 关于多模态。 多模态是有用的，尤其是视觉。人类大脑皮层中三分之一都用来处理视觉，缺少了视觉的神经网络作用会相当有限。 人类更多是从图像而不是语言中学习的。人类一生只会听到大概10亿个词，这个数据量是非常有限的，而更多的数据来自于视觉。 很多时候，从视觉学习比从文本学习更容易。例如颜色，尽管通过文字也可以学到颜色之间的关联，比如红色和橙色更近，和蓝色更远，但通过视觉来学习要快得多。 5. AI有逻辑吗？有意识吗？ AI当然有逻辑，要不为什么AlphaGo和AlphaZero在最需要逻辑推理能力的围棋游戏中击败了人类？ 如何真正说明AI有逻辑推理能力？证明真正困难的定理，写复杂的代码，用创新方法解决开放性问题。如果AI能够证明一个未经证实的定理，那么这个理由就很难辩驳。 如何判断AI是否有意识？做这样一个实验，假如未来人工智能的训练可以从零开始，通过更小的数据集来完成，那么我们可以非常小心地对训练数据进行清洗，确保数据集中不包含任何关于意识的内容，如果系统在训练中需要人类的反馈，在互动中也要非常谨慎，确保不提到任何关于意识的概念。等训练结束的时候，你和AI一起聊天，这时你告诉他关于意识的事情，你向他描述之后，想象一下，如果这个人工智能接着说，”哦，我的上帝，我一直有同样的感觉，但我不知道如何表达它“，这时就可以认为人工智能有意识了。 6. 开源 vs 闭源。 如果模型的能力不强，那么开源是一件伟大的事情。如果模型的能力过强，那么开源就变得危险。尽管目前GPT4模型的能力还算不上”过分强大“，但已经能够看到这个趋势，所以闭源是合理的。（类似于核武器？） 当然，现阶段闭源更重要的原因是商业竞争（而不是安全，Ilya的原话）。 7. 更大的模型一定会带来更好的结果。（Of course the larger neuron nets will be better.） 前些年扩大规模很容易是因为有很多计算资源都没有被充分利用，一旦重新部署过之后就会快速取得进展。但现在规模到达了某种瓶颈，算力的扩张速度变慢了。I expect deploying to continue to make progress in art from other places. The deploying stack is quite deep and I expect that there will be improvements in many layers of the stack and together they will still lead to progress being very robust. 我预期我们将发现deep learning中很多尚未被发现的新属性，而这些新属性的应用将会让模型的效果变得更好。5-10年之后的模型能力一定会远远强过现在的模型。 附三个访谈的链接： 2020年5月 Lex Fridman AI Podcast 2023年3月 黄仁勋 CEO 与 OpenAI 联合创始人及首席科学家 Ilya Sutskever 关于 AI 及 ChatGPT 的对话 2023年4月 OpenAI联合创始人首席科学家AI Ilya Sutskever斯坦福大学内部演讲