Daniel Le

I'm a non-coding Idiot who study non-coding RNA. My daily grind is to become a real bioinformatician. Cheeerrrrr!

[Aparna Dhinakaran @aparnadhinak]

https://t.co/31rd1aRZNM

[Konstantin Kisin @KonstantinKisin]

There is something darkly amusing about the fact that selling victimhood to the most privileged people in history has become such a lucrative and big business.

When I was on tour with @jordanbpeterson he talked about many things, but probably the most common recurring theme was the "Spirit of Cain". It seems our ancient and sacred texts tell these stories for a reason: victimhood is easy, seductive and addictive. And now profitable too.

We are living through a perpetual victimhood escalation battle where people (and groups) now compete not on merit, but on the supposed disadvantages they face. Which makes perfect sense since this is the incentive structure our societies have been encouraged and forced to adopt.

[Sean Cai @SeanZCai]

Some alpha here!

[Aakash Gupta @aakashgupta]

This guy literally broke down how to become a $1.4M "builder PM" with n8n, Claude Code, and OpenClaw:

1:53 - What a "builder PM" actually is
6:04 - Your first agent in n8n (live build)
14:18 - Why every agent needs these 4 things
21:35 - The multi-agent eval loop
29:47 - Where n8n dies
33:39 - When to graduate to Claude Code
35:08 - What broke in December 2025
47:17 - The self-improving PRD reviewer
1:02:28 - Mocks and prototypes without designers
1:05:15 - OpenClaw and the new agent OS
1:22:06 - What AI PM interviews look like now

[Déborah @dvorahfr]

To those who pit Sam Altman and Elon Musk against each other like a billionaire feud, look, do your own research.

When have you ever seen Elon Musk use his money to buy a yacht, a paradise island, or engage in extravagant spending?
Even the money from this lawsuit, if he wins, will be donated to charity.

On the other hand, why did Sam Altman change the bylaws of OpenAI, which was a non-profit organization? Why is everything opaque at OpenAI? Who benefits from the money?

To all the skeptics, do your own research. I have no doubt about your conclusions if you seek the truth.

On one side, there is a man who dedicates his life to the well-being of humanity, and on the other, a man who seeks profit, even at the risk of endangering humanity.

Elon Musk must win.

[Riley Brown @rileybrown]

Learn 95% of Codex in 28 minutes

These are the 7 knowledge work capabilities...
inside Codex, the super-app

00:00 Intro
02:19 Capability 1 - Full File Access
07:41 Capability 2 - Persistent Memory
10:46 Capability 3 - Plugins
13:52 Capability 4 - Skills
19:22 Capability 5 - GPT Image Access
21:03 Capability 6 - Browser and Computer Use
23:58 Capability 7 - Automations
25:31 Bonus Feature - Chronicle
27:21 Summary

[Lior Alexander @LiorOnAI]

It's over. Karpathy just open-sourced an autonomous AI researcher that runs 100 experiments while you sleep.

You don't write the training code anymore.

You write a prompt that tells an AI agent how to think about research.

The agent edits the code, trains a small language model for exactly five minutes, checks the score, keeps or discards the result, and loops. All night. No human in the loop.

That fixed five-minute clock is the quiet genius. No matter what the agent changes, the network size, the learning rate, the entire architecture, every run gets compared on equal footing. This turns open-ended research into a game with a clear score:

- 12 experiments per hour, ~100 overnight
- Validation loss measures how well the model predicts unseen text
- Lower score wins, everything else is fair game

The agent touches one Python file containing the full training recipe. You never open it. Instead, you program a markdown file that shapes the agent's research strategy.

Your job becomes programming the programmer, and this unlocks a strange new loop:

1. Agents run real experiments without supervision
2. Prompt quality becomes the bottleneck, not researcher hours
3. Results auto-optimize for your specific hardware
4. Anyone with one GPU can run a research lab overnight

The best AI labs won't just have the most compute.

They'll have the best instructions for agents who never sleep, never forget a failed experiment, and never stop iterating.

[Eoghan McCabe @eoghan]

https://t.co/4bjaeYNcTP

[Tom Dörr @tom_doerr]

Marketing resources for startup founders

https://t.co/iFEBfKWPU1

[Nicolas Bustamante @nicbstme]

https://t.co/v7sot4WCI2

[Ray Dalio @RayDalio]

https://t.co/tjmbT5ytUN

[Tom Dörr @tom_doerr]

Visualizes transformer operations in the browser

https://t.co/BxUuXBt29N

[Jason D @JasonUXUI]

Designed and built setting layout: Agents, Skill, Import, Plan and Billing ✨

Live demo: https://t.co/BWGmX9LuCK

Open-source : https://t.co/CWuejOPUWG

[Julian Goldie SEO @JulianGoldieSEO]

Claude AI FULL COURSE 5 HOURS (Build & Automate Anything)

[Tom Dörr @tom_doerr]

AI agent for search and research across personal documents

https://t.co/Q91JbpevOD

[Arman Hezarkhani @ArmanHezarkhani]

https://t.co/Mt1PRTZCdT

[Tom Dörr @tom_doerr]

Collection of skills for Claude

https://t.co/320L2BTHDa

[Tom Dörr @tom_doerr]

Lifelong memory for LLM agents

https://t.co/jlvxnP5zMO

[Tom Dörr @tom_doerr]

AI agents for financial analysis using large language models

https://t.co/nVrXHIEQnU

[Tom Dörr @tom_doerr]

Analyzes legal documents for compliance with regulations

https://t.co/3rs7pUZWly