Stefan Mischook

Developer, author and entrepreneur going back to 1700's. ;) Mentoring people in the ways of code and freelancing. #unclestef

[Stefan Mischook @killersites]

Big short dude is correct. The Ai apocalypse is actually for the Ai datacenter business (nobody else) where their big bets are going to blow up, because local models are nearly as good, free, and getting better. Tech bros F’d up badly … now they use fear. Not nice.

[CEOInterviews.AI @CEOinterview]

Big Short investor Steve Eisman says the AI labs know they have no moats and are manufacturing a crisis to get regulation that hands them a duopoly

"I think this is all nonsense."

[ You think it's all nonsense? ]

"All nonsense. I think that there's something else completely going on here. ... What I think is happening is that token maxing is over. The open weight models are taking big market share. I think these companies are very nervous. They realize that there are no moats around their business whatsoever, and they're trying to manufacture a crisis that will create regulation, and that they think they can then manipulate to create the moats, to create the duopoly that they want."

[ Wow. ]

"That's what I think is going on."

"Honestly, I think this whole Terminator thing is garbage. That's for sure."

[Stefan Mischook @killersites]

@joeroganhq This is not possible because open-weight models are just months behind the best of the best closed models. This is an irrational fear.

[Stefan Mischook @killersites]

Ai dooming is out of control. Don’t fall for it! The opportunities and upside are endless. Every time a new tech comes out we see: 1. Doomers. 2. Old-school jobs disappear. 3. Doom narratives accelerate because of #2. 4. Whole bunch of new jobs and opportunities appear where early adopters do crazy well. 5. Eventually everyone realize the doom narratives are bunk. 6. Overall quality of life improves for everyone. 👍

[Stefan Mischook @killersites]

@danilodonadoa 💯. Thanks! Hope you’re great too.

[Stefan Mischook @killersites]

I went on a date with a Brazilian who could not speak English and I can’t speak Portuguese. So I used Ai to do real-time voice translation. It kinda worked. ChatGPT was the best, 75% score, Grok was faster but it kept trying to butt into the conversation, 62%. Finally, Claude was a fail due to extreme lethargic verbosity. My date concurred.

[Stefan Mischook @killersites]

33 years experience in software, I use Ai regularly … Ai will change the economy and while many jobs will go away (like magazines, newspapers, cd rom, film, VB6 devs etc ) … but in their place many new professionals will emerge. I am already seeing it now. The end result will be amazing for everyone. Yes, I see it that way because I’ve seen these doom narratives a few times before. Fake news. 🗞️

[Stefan Mischook @killersites]

@elonmusk Going down Florida specifically to see one of your rockets go up in January … and to get some stone crab. 🦀

[Stefan Mischook @killersites]

The AI DOOM Myth - Live https://t.co/4mQ39M3kPM

[Stefan Mischook @killersites]

I’ve been supplying curriculum and classroom management software for 16 years. He is correct. My platform was designed to implement a self-paced approach to accommodate different student abilities. It works extremely well and teachers love it. Ai takes it to a whole new level.

[Jay @pu3he]

卧槽，这踏马太毒了

DeepMind 掌门人、诺奖得主 Demis Hassabis 刚刚把延续了上百年的现代学校教育底裤彻底扒光了：

全球几十万名数学老师每天关在办公室里，为同一门中学数学课重复手搓着一模一样的 PPT，这简直是人类智力资源最荒诞的工业级空转。

很多人至今还把名校名师的课堂讲授当成稀缺资源，拼了命去抢学区房和重点班，

但 Hassabis 直接用最冷酷的第一性原理砸碎了这个幻觉，

标准化的知识灌输从来不配占用昂贵的线下课堂，死记硬背和刷题完全应该被踢出教室，交给能按每个孩子毫秒级反应速度实时调频的私人 AI，加上全世界最顶尖的那几个大师录好底层大课，就足以把全球基础教育的讲授环节一次性彻底平替。

过去两百年里，学校本质上是一座把千差万别的碳基大脑强行塞进同一条流水线、按同一个节拍器拧螺丝的工业时代兵营，

老师沦为了人肉复读机，学生被困在枯燥的题海里比拼谁更像一台劣质硬盘，
而一旦 AI 和顶级大师把标准化的知识传递彻底接管，线下教室唯一剩下的合法存在价值，就只剩下了机器永远无法通过权重计算出来的五个维度：

人际博弈、复杂项目实战、创业野心、创造力，以及最致命的判断力。

这里有一个极度冷酷的反直觉真相：
当个性化 AI 把考高分的边际成本砸穿地板，按标准答案培养出来的做题家，在出校门的那一刻就已经直接沦为了算力废料。

未来的阶层分化，从来不再取决于谁的脑子里背下了更多现成的公式，
而是取决于当 AI 把一万种完美方案同时拍在桌上时，谁拥有拍板做决定的判断力，谁能攒起一个活人团队去把事情干成，

所以别再逼着孩子在死记硬背的泥潭里跟硅基芯片比拼记忆容量了，当流水线式的教书匠和做题家同时迎来历史性失业，谁能先把教室变成训练人性直觉与创业野心的实战沙盘，谁才能在算力时代拿到唯一不被平替的入场券

[Stefan Mischook @killersites]

@megynkelly Developer with over 30 years XPs here … these Ai doom scenarios are not founded in fact. Ai will just unlock massive productivity, and a whole new stratosphere of employment. The Web destroyed many newspaper and magazine jobs, but it created a far bigger industry.

[Stefan Mischook @killersites]

@Jason @NickJFuentes This kid is huge. Don’t underestimate.

[Stefan Mischook @killersites]

I get the impression that X does not have the ability to extract context / data from the video. The reach isn’t good at all.

[Stefan Mischook @killersites]

C++ should not be the focus for developers in 2027. Those days are over. My thoughts:

[Stefan Mischook @killersites]

C++ should not be the focus for developers in 2027. Those days are over. My thoughts:

[Stefan Mischook @killersites]

@MarioNawfal This is horrible. This crazy war must end. Tanks … might as well be riding horses these days.

[Stefan Mischook @killersites]

Google Stock Crashes 11%! What Does This Mean for Developers? https://t.co/hHTLyhgg98

[Stefan Mischook @killersites]

@elonmusk Agreed. Really wild stuff.

[Stefan Mischook @killersites]

Microsoft Buyouts: What Does This Mean for Developers? (LIVE) https://t.co/cCoZ1VtQT1

[Stefan Mischook @killersites]

Ai cracks are showing … what does this mean for software developers?

[Stefan Mischook @killersites]

I think this is correct.

I’ve been considering the new business model that is slowly emerging because of AI. How business is formed, ran and expanded is changing. What the moats are is changing.

[AYi @AYi_AInotes]

网景创始人 、硅谷顶级投资人Marc Andreessen 在访谈里坦言，他看到了科技史上最可怕的一道认知鸿沟，

传统巨头以为 AI 只是个降本增效的插件，而新一代 AI 原生团队，正在用完全非人的组织效率掀翻整个商业版图。

当年写出网景浏览器、见证了整个互联网三十年兴衰的 Marc Andreessen，坐在 Ben Horowitz 面前直接发出了感慨，
如果 1994 年我们做 Netscape 的时候就有今天这种 AI 工具，那简直不可想象。

现在绝大多数传统巨头和现有企业，依然在用改良软件的旧思维去看待大模型。

在他们的组织逻辑里，AI 只是一个高级功能，用来给现有业务做个插件、在钉钉里加个智能助手、或者把客服团队砍掉 20% 省点成本。

他们以为自己在拥抱变革，其实只是在给老旧的蒸汽机打补丁。

但真正恐怖的事情，正在那些刚成立的 AI 原生团队里发生。

那些创始人对 AI 能力的理解，跟大厂完全不在同一个平行宇宙。

他们每周都在看着底层技术飞速进化，而且他们压根不会把自己定义成一家软件公司、硬件公司、甚至是一家 AI 公司。

以前创办一家公司，你的组织架构是按人类的协同瓶颈搭出来的：
招产品经理写文档、招工程师写代码、招法务改合同、招运营做投放。
因为人类的脑力带宽有限，所以必须靠庞大的部门和管理层级来支撑业务。

而真正的 AI 原生物种，是用机器智能作为最底层的骨架。

两个人加上一整套自动化 Agent，可以直接把从市场洞察、软件工程、全栈设计到商业销售的链路全部跑通。

他们不是在效率上快了 30%，他们是在组织形态上彻底跨越了一个物种。

大厂的盲区，从来不是买不起算力，而是他们无法理解组织本身才是最大的负债。

当现有企业还在开会讨论如何把 AI 塞进现有的业务流程时，新一代的野蛮人正在用完全超越行业界限的方式，把传统的业务流程连根拔起。

未来拉开人与人、公司与公司之间差距的，根本不是你用了哪个模型，而是你到底是在用新工具维持旧世界的体面，还是用新世界的底层逻辑，重新定义了自己能做的事情。

[Stefan Mischook @killersites]

@PaulPlamondon I would suggest looking to the tribe in Ontario, who’s homelessness program has had about a 90% effectiveness rate, which is far more effective than typical programs. All the best!

[Stefan Mischook @killersites]

I figured Apple would be one of the big winners in the Ai space by taking full advantage of Ai implementations, without any risk.