Jesse Miller

certified cool guy

[Trackmind @0xTrackmind]

this Stanford paper is f*cking insane

it's about as close to peeking inside a real HFT desk as I've ever seen in public.

14 pages, elite-level signal combination, a complete statistical framework.

the exact same framework I laid out in 11 steps in the article below: serial demeaning, cross-sectional normalization, residual weighting, empirical Kelly.

the crazy part is most people correctly call market direction and still lose money, purely because they never crossed paths with these 14 pages.

read the paper first, then the article.

bookmark it before this thread gets buried.

[Andrej Karpathy @karpathy]

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:

Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:

Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:

Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:

Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!

In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.

[Jesse Miller @Jesse_Millr]

@RolloRouen Ew

[ClaudeDevs @ClaudeDevs]

Follow the link below to claim the credit or run /claim-credit in the CLI. You’ll need GitHub connected to start a session. Claim by Oct 7. Terms apply.

https://t.co/TzoO6fzJHB

[Diogo Almeida @CompleteSkeptic]

sharing some notes on typesafe 🤝 coding agents:
https://t.co/bzNv8zC3UB

we likely will never have time (ever again) to play ourselves, but hope the that the community goes WILD (and makes me look like a naive idiot)

[山羊赚钱笔记 @shanyanggm]

卧槽兄弟们，GitHub 上真的有一堆免费到离谱的项目。

很多能力已经能直接干掉你正在月付的软件。

1. TradingAgents
AI 多 Agent 量化交易框架
https://t.co/3T1sPPQ6TL

2. LibreChat
一个界面接入 ChatGPT、Claude、Gemini 等多个模型
https://t.co/HZJQEij5h1

3. HyperFrames HeyGen
开源的视频生成引擎
https://t.co/o0OnS8iJMG

4. Fincept Terminal
开源版彭博终端
https://t.co/n5COGtvHc4

5. MoneyPrinterTurbo
AI 一键生成短视频 https://t.co/Po8sGObI7q

6. Agentic Inbox Cloudflare
开源 AI 邮件助手
https://t.co/S7XDWi1yTD

7. VoxCPM
AI 声音克隆工具
https://t.co/wkSGMchuq2

8. Flowsint
开源 OSINT 情报分析工具 https://t.co/RwFvhurB0P

9. agent-skills
Claude Code 技能库 https://t.co/c2NifSzKM1

10. Nango
开源 API 集成平台
https://t.co/tNbwrMEzZn

兄弟们，这些真不是玩具项目。

很多你还在交月费的软件，GitHub 上已经有人做出开源平替了。

一句话：

别只会收藏 AI 工具网站了。

真正狠的东西，很多都藏在 GitHub 里。

[codila @0xCodila]

Anthropic engineer (ex-Google):

"I spent 14 years at Google and built 24 reusable skills for agents that I can use with any AI model

So I stopped prompting my agents from scratch. The repo has already reached ~100K stars on GitHub"

In a 40-min masterclass, Addy Osmani showed exactly how he uses his skills (~100K stars on GitHub) for his 24/7 multi-agent system

His workflow and this workshop will replace 15 hours of other paid videos on agent engineering

Watch it today, copy the GitHub repo - then read below how to use these skills for graphs ↓

[Claude @claudeai]

We’re introducing Claude Fable 5.1 and Claude Mythos 5.1.

They're the world’s most advanced models for coding and knowledge work.

[Movez @0xMovez]

SpaceXAI engineer, Lauren Tan:

"GrokBot is the most powerful agentic tool we have ever built, but only 1% of users use it correctly

right now I'm running a team of 20+ GrokBot agents. I have a Chief of Staff agent, 3 managers and 16 workers - that's how the team looks like"

In a 1-hour workshop, a SpaceXAI engineer reveals how to use Grok agents at 100% of their potential

worth more than a $500 agent engineering course on the internet

Skip Netflix and watch today, it will change the way you use GrokBot forever, then read the article below

[Jesse Miller @Jesse_Millr]

@Blue_Benchmark Enzo is a snake, why would we want to keep and force a guy to play who doesn’t want us? His racist antics etc are just not a good look. I’ll miss parts of him but the net is negative on him. Might as well cash in and profit

[Jesse Miller @Jesse_Millr]

@chiamakaafc Noni

[Ben Tossell @bentossell]

best new app i’ve tried in a while

likely my new default

[Jesse Miller @Jesse_Millr]

@TheUnitedExtra Santos is great, enjoy him.

[Chris Frantz @frantzfries]

This is easily the best list YC has ever published

[AI Edge @aiedge_]

https://t.co/ONmQnJwuZF

[Riley Brown @rileybrown]

Uhm Guys… Mythos (Fable) is AGI.

On the left is the ACTUAL Lovable Mobile App.

On the right is my Lovable version I built with Mythos in 2 prompts.

My version SMOKED it.

[Suryansh Tiwari @Suryanshti777]

Your Obsidian vault is probably dead.

Not empty.

Dead.

Because saving information is not the same thing as building intelligence.

Right now millions of people are spending hours building “second brains” that never think back.

Beautiful folders.
Perfect tags.
Endless highlights.

And absolutely zero cognitive leverage.

The scary part?

AI is about to make this gap brutally obvious.

Most people will use AI like a smarter Google:
ask question → get answer → forget answer.

But a small group is building something way more dangerous:

AI connected to years of personal context.

Their notes.
Their ideas.
Their unfinished thoughts.
Their reading history.
Their obsessions.
Their patterns.

At that point AI stops acting like a chatbot.

And starts acting like a cognitive extension of the person using it.

That changes everything.

Because the biggest advantage in the AI era will not be prompts.

It will be accumulated context.

People with connected knowledge systems are going to think faster, write better, learn quicker, and spot opportunities earlier than everyone else.

Not because they’re smarter.

Because they stopped starting from zero every day.

Most vaults are storage systems.

The best ones become intelligence systems.

[Khairallah AL-Awady @eng_khairallah1]

🚨 Anthropic's own team just showed how to actually use Claude Code properly.

30 minutes. free. the person who created Claude Code.

watch the workshop. bookmark it.

worth more than every $500 course you almost bought.

you've been using Claude without knowing 40 of its commands.

Then read the guide below.

[Rahul @sairahul1]

MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST MUST WATCH

[Jesse Miller @Jesse_Millr]

@perplexity_ai charging me $20 for an account with them I can't access from a former employer.. and then using their AI support bot to respond saying theres nothing they can do to refund me. pretty petty stuff, I must stay.