August Wu

4D Capital Management. “If you take care of the losses, the profits will take care of you". My investing diary. No advice. Prolific tech inventor.

[August Wu @august92618]

@leopara3 @fbermingham So it’s ok for Macron to dump french agricultural and luxury goods into China? Losers do not dictate terms in a competition

[August Wu @august92618]

@fbermingham German carmakers have been getting the largest earnings from China for decades. Now China is outcompeting Germany. Not easy to handle this for sure

[Vineeth K @DealsDhamaka]

I know many Indians, including me, struggled with 1 thing

Not math, coding, problem-solving

Communication 🗣️

It was my biggest weakness when I joined consulting.

If it is something you face, listen to this 1-hour on How to Speak

Share 🔖 Bookmark

[August Wu @august92618]

@zoelescomptes @EmmanuelMacron La france est connue pour former de grands mathematicians.

[codila @0xCodila]

Kimi CEO Zhilin Yang:

"Claude didn't win on reasoning - they bet everything on agents

but the layer everyone skips - a great agent needs a great base model, that's all we do at Kimi 3 "

in 90-min workshop he explains why the smartest agent still fails - if you can't configure it correctly

his one big idea: most people are still solving the old one

"the real goal? we want K2 to help build K3 - without agent skills, that's impossible"

watch & bookmark - then learn the article on best agent system ↓

[MIKE @mikenevermiss]

kimi’s CEO zhilin yang:

“everyone’s trying to build one smarter agent”

we did the opposite, one boss, a thousand workers.”

in 39 minutes, he explains why one AI agent isn’t enough.

agent swarms + long context + reinforcement learning are the future.

bookmark this ↓

[Superman @thesupermanmx]

China open-sourced a model that reconstructs any scene in 3D from a regular video, in real-time.

one camera. no LiDAR. 10,000+ frames without falling apart.

just walk around with your camera and watch the entire world get rebuilt in 3D at 20 fps.

→ runs at ~20 FPS on a single GPU
→ Stable over 10,000+ frames
→ Beats optimization-based methods on benchmarks
→ Works on drone footage, driving videos, indoor walkthroughs

100% open source.

[WokeZoomer🇻🇦🇺🇸🚩 @Pigeonsguy]

Indian people's idea of an insult against Chinese people is calling them Indian

[rari @0xwhrrari]

Google's former CEO just said what most programmers are not ready to hear

"In the next one year, the vast majority of programmers will be replaced by AI programmers"

Most people will argue about whether this is true

Smart people are already learning how to manage AI programmers

Claude Code, Opus 4.8, Fable 5, skills, MCP, memory, agents, and workflows

This is not about asking a chatbot to write one function

It is about turning Claude into a full coding system

Save this before it disappears from your feed

Everything below is free:

Agent architecture
https://t.co/hhrSyF45W2

Claude Code 101
https://t.co/71Zu7xQUmK

Claude Code in action
https://t.co/vg8fPCihmT

Prompt engineering
https://t.co/xEu7M3Dn3z

Interactive prompt course
https://t.co/oGCxHkrdrb

Claude.md + memory
https://t.co/v6JKlS5myT

Skills
https://t.co/AJCWlDdkJF

MCP
https://t.co/tQTUYCxkQE

Routines
https://t.co/gAnEdq6qEy

Claude Code ultimate guide
https://t.co/WeDLJBVIwk

Awesome Claude Code
https://t.co/wvpwfcaMWs

Anthropic academy
https://t.co/uu3JyZzuo1

Official Claude Code docs
https://t.co/xuUWAg0eN6

All of this costs $0

Most people will keep asking AI one question at a time

Save this and start learning the stack

[Jaynit @jaynitx]

Elon Musk explains his 5-step algorithm for solving any problem:

"The most common mistake of smart engineers is to optimize a thing that should not exist."

"I have this very basic first principles algorithm that I run as a mantra."

Elon breaks it down:

Step 1: Question the requirements.

"Make the requirements less dumb. The requirements are always dumb to some degree, no matter how smart the person who gave you those requirements. You have to start there, because otherwise you could get the perfect answer to the wrong question."

Step 2: Try to delete it.

"Try to delete the part or the process step entirely. If you're not forced to put back at least 10% of what you delete, you're not deleting enough. Most people feel like they've succeeded if they haven't been forced to put things back in. But actually they haven't, they've been overly conservative and left things in that shouldn't be there."

Step 3: Optimize or simplify.

"The most common mistake of smart engineers is to optimize a thing that should not exist. So you don't optimize until after you've tried to delete."

Step 4: Speed it up.

"Any given thing can be done faster than you think. But you shouldn't speed things up until you've tried to delete it and optimize it otherwise, you're speeding up something that shouldn't exist."

Step 5: Automate.

"And then the fifth thing is to automate it."

Elon explains why the order matters:

"I've gone backwards so many times where I've automated something, sped it up, simplified it, and then deleted it. I got tired of doing that. So that's why I have this mantra."

[rari @0xwhrrari]

https://t.co/EQxWTXrbg0

[spect @spectnfa]

Nobel Prize winner Demis Hassabis just accidentally revealed who survives the next 5 years and who doesn't.

"One person who understands AI will outperform an entire startup team"

Most founders heard that and thought: "Oh no, I need to learn prompt engineering"

Wrong.

That's not what "understands AI" means anymore.

It means: building workflows. Chaining systems. Automating entire departments.

Not typing better questions into ChatGPT.

The split is brutal:

> 90% of people = still using AI like a calculator
> 10% of people = treating it like infrastructure

In 5 years, the 10% will run everything with half the headcount.

The 90%? Replaceable.

Which group are you in?

Watch the full breakdown. This is the only skill gap that actually matters right now.

Bookmark this. You'll want to reference it.

[August Wu @august92618]

@trydragonfruit @shaunrein By HK culture, You must mean british culture

[August Wu @august92618]

@JosephSomsel @jenzhuscott Your chart does not mean anything

[Swapna Kumar Panda @swapnakpanda]

Stanford's ALL FREE Courses on AI & ML:

❯ CS221 - Artificial Intelligence
❯ CS229 - Machine Learning
❯ CS230 - Deep Learning
❯ CS234 - Reinforcement Learning
❯ CS224N - NLP with Deep Learning
❯ CS336 - LLM from Scratch

13 Course links inside:

[Mathematica @mathemetica]

@Orwelian84 Here's the full Oxford Mathematics lecture with Terence Tao:

https://t.co/kPHKdwL4VM

[Berryxia.AI @berryxia]

真的，只有大牛才敢站出来这么说！

全世界公认的最聪明的人之一，Terence Tao，亲自站出来把AI最致命的缺陷直接戳破了。

他问了一个所有人都回避的根本问题：

“我们该如何使用一个强大、却极度不可靠的工具？”

AI的核心方程写得清清楚楚：

W = ∑(wᵢ ⋅ xᵢ) + b

它不是在追求“正确”，
而是在追求“看起来正确”。

所有权重都被优化成plausibility（似是而非），而不是veracity（真实性）。

于是我们造出了一个超级会“装”的镜子：

它在医学、金融、法律等领域，能用最自信、最流畅的语气，
给你最危险、最错误的建议。

“Convincing”和“Correct”之间的鸿沟，
才是AI时代最致命的风险。

我们越是依赖它，它就越容易把我们带进自己都看不出来的陷阱。

当最顶尖的数学家都在认真讨论“如何安全使用不可靠的AI”时，

我们普通人还在为“它写代码好快”鼓掌吗？

这段视频值得每一个用AI的人反复看。

[Khairallah AL-Awady @eng_khairallah1]

ANTHROPIC JUST RELEASED THE OFFICIAL PLAYBOOK FOR BUILDING A COMPANY WITH CLAUDE CODE.

30 minutes. free. from the engineers who built it.

Bookmark this before you forget.

CEO: 1 human. Employees: AI agents. Operations: fully automatic.

The zero-headcount company is no longer a joke.

[Roan @RohOnChain]

Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch. Stanford taught the entire thing in 1 hour lecture & released it for free.

Bookmark & watch this today before someone takes it down.