We are seeing the cost of inference computing dropping very rapidly. We have projections where ChatGPT 4.0 quality could be attained on a smartphone by the end of 2026. In this video I discuss how this

Over the last couple quarters, the discussion around inference computing is heightening. As AI models become more popular, the need for inference explodes. In this video I discuss how this was mentioned

Compute is going to be the currency of the future, at least for major businesses. We see how this is already forming. In this video I discuss a concept such as distributed computing, and how crucial it

There is a lot of focus on companies that are achieving GPUs like Meta, Xai, and Tesla. These are obviously required for the training of neural networks. In this video I discuss how, over the next few

Tesla is actually being used in the real world. When it comes to inference, Tesla is one of the few who have millions of inference computers going at one time. In this video I discuss where the AI hype

There is some confusion since someone is out there claiming that Tesla is going to move into cloud like AWS. This might have been something Elon said that was misinterpreted or warped on purpose. In this

When we look at AI, the focus tends to be on GPUs and Nvidia. This is valid since it is how neural networks are trained. In this video I discuss the equally as important aspect of inference compute. It

The last earnings call by Tesla raised a number of different points. One thing that got attention was the potential of having a distributed inference network. In this video I discuss how this could look

What is inference computing? How does this play into AI and LLMs. In this video I discuss how Tesla, if they keep building out their fleet, will have the largest distributed inference computing network

To say that Tesla is just a car company was made explicitly wrong on the earnings call the other day. We are watching a complete transition, albeit a continuation of what was already started, before our

Inference Labs closes a $2.3 million pre-seed round led by Digital Asset Capital Management, Mechanism Capital, and Delphi Ventures. The latest funding round for Inference Labs will boost their innovative

Amidst confusion, the question remains: Can AI improve? If so, it should be the foundation for AGI.

img source I feel very heavily that the majority of social inference is based on finding answers where there are none, or the easiest, most suiting one. You could probably discuss the typical traits of

I recommend: Only in Reliable Registered Projects and earn 25% per day Registered reinvest certify verified, inference verified

梁西富和一群人在聚餐。此时蔡郝弛过来了热情地和梁西富打招呼。没说两句话梁西富旁边的美女李姗姗就拍案而起，怒气冲冲。蔡郝弛离开后李姗姗又和梁西富有说有笑起来。离开饭店时蔡郝弛又来找了下梁西富。最后大家都对这次聚餐非常满意，只有蔡郝弛不太开心。 过了两天，梁西富又在和妻子郑师师一起吃饭时遇到蔡郝弛，作为老相识互相点头示意。蔡郝弛离开时暗暗笑了，笑得十分诡异。

民国年间，清明，李家。晚六点 新娘李家小姐小凤抄起一把剪刀扑到新郎王有才那往其脸上身上不断死命戳去。王有才不逃也不喊疼之前说的。眼看已不成人形。小凤又走到了聂媒婆面前，似笑非笑道:“你话再重复一遍试试？”

从国外的侦探推理小说19世纪末传入中国以来，再到近几年一些国内优秀的推理作品被拍成影视，推理小说这类小众的文学作品也渐渐被大家喜欢，今天就给大家介绍1位优秀的国内推理小说作家——紫金陈 紫金陈在国内的推理小说界绝对是知名人物，尤其他的谋杀官员系列几乎是每一位推理迷必读的入坑指南。谋杀四部曲每一部都有一位神探和一名狡猾无比罪犯之间的精彩较量。

从国外的侦探推理小说19世纪末传入中国以来，再到近几年一些国内优秀的推理作品被拍成影视，推理小说这类小众的文学作品也渐渐被大家喜欢，今天就给大家介绍1位优秀的国内推理小说作家——周浩晖。 周浩晖被称为“中国的东野圭吾”，尤其擅长悬疑小说，其中以“刑警罗飞”系列独步悬疑江湖，代表作《死亡通知单》更是国内推理界的名作，之前的电视剧《暗黑者》也是由它来改编的。

3天内完全解答的第一人奖励 1 SBD。 注意，这道题是我出题史上最短但是细节最多的题，并且没有那么简单。 在马尔代夫刚刚度过一个美好的假期，温斯顿侦探才回到住处，屁股还没坐热就接到一起命案。 赶到案发现场，发现门窗紧闭，从里面反锁，门缝处有一滩血迹，据报案者描述，他是附近的清洁工，看到门口有血迹，吓得赶紧报案了。撬开门发现一名男子胸口被插入一把匕首，同时屋里还有一名幸存者被人用绳子绑在了床上。

以下为本期推理短文的拟定答案，恭喜解开谜题的大神。 本期题目传送门→【第四期】『推理』纹身女租户（题目部分）|月旦评 本期题目部分受东野圭吾的《嫌疑人X现身》剧情启发，推理如下： 从第一段我们可以看出很多信息 吉安娜不随便，应该和她男友还没如何如何 萨尔的租户都是外来工作的年轻女孩 萨尔送她们同款式的大衣 银松森林，雾霾很厉害 天冷，很容易带围巾。加上雾霾，出行的人一般会戴口罩，所以如果身形相似，很难分辨