VirtuousTrader

Chastity, Faith, Crypto Trading and Financial Freedom at the core of my beliefs. This is my journey of failure and successes to achieve them.

[Anatoli Kopadze @AnatoliKopadze]

https://t.co/eq0oL4fIaR

[Anatoli Kopadze @AnatoliKopadze]

Anthropic engineers just showed how they build a full app from scratch, using a loop of agents

40 minutes from the team behind Claude Code

they used three agents: one to plan, one to build, one to judge, cycling until the app actually works

the winners won't have the smartest model, they'll have the best loop

watch it, then read the full guide on how to actually use loops below

[CyrilXBT @cyrilXBT]

CLAUDE AGENT OS: BEGINNER TO EXPERT IN 20 MINUTES AND I MEAN ACTUALLY EXPERT, NOT JUST FAMILIAR WITH THE UI.

Most people spend weeks figuring this out through trial and error.

This skips straight to what actually matters. Setup, configuration, your first running agent, and the workflow patterns that separate people just clicking around from people actually building.

20 minutes.

Full guide below.

[Khairallah AL-Awady @eng_khairallah1]

https://t.co/4boc8dTGGh

[Rahul @sairahul1]

https://t.co/hn2ibtYgLM

[Yarchi @undefinedKi]

https://t.co/KADozFhjGF

[CyrilXBT @cyrilXBT]

GLM 5.2 JUST LANDED WITHIN 1% OF OPUS 4.8 ON THE HARDEST AGENTIC CODING BENCHMARKS.

At roughly a sixth of the price.

$1.40 per million input tokens, $4.40 per million output, versus Opus 4.8's $5 and $25.

This is the moment open-weight models officially caught up to frontier closed models on the metric that actually matters: long-horizon agentic coding, not a synthetic leaderboard.

Cheapest near-frontier model on the market right now.

[The Biohacking Immortal @1Immortals1]

red light therapy sounds like complete pseudoscience until you actually read the 5,000+ peer reviewed studies on photobiomodulation. then it sounds like cheating

the mechanism is simple. red and near-infrared light (630-850nm) penetrates your skin and is absorbed by cytochrome c oxidase in your mitochondria. this directly increases ATP production in every cell the light touches. more energy per cell. that's it. that's the whole mechanism

- accelerates wound healing and tissue repair. used in burn units and post-surgical recovery
- reduces joint pain and inflammation. multiple studies on arthritis and tendinopathy
- increases testosterone when applied to the testes. yes really. a study showed 120% increase in T levels with testicular light exposure
- improves skin collagen density and reduces wrinkles. dermatologists use it but charge $300 per session
- enhances muscle recovery and reduces delayed onset soreness
- improves thyroid function in hashimoto's patients enough to reduce medication dosage in clinical trials

you don't need a $1,200 panel. a $60 red light bulb from amazon with the right wavelength (660nm red + 850nm near infrared) works on the same physics

use it 10-15 minutes on target area from about 6-12 inches away. morning is ideal. don't wear eye protection unless pointed at face. consistency matters more than session length

the fitness influencers made this look like a gimmick by posing shirtless in front of $3,000 panels. the actual research is decades old, military funded, and more robust than most pharmaceuticals on the market

[Jerry Liu @jerryjliu0]

We built the fastest PDF -> markdown parser in the world 🚀⚡️

AND it’s more accurate than any other open-source, model-free parser (pymupdf4llm, opendataloader, pdf-inspector, markitdown) on 3 standardized benchmarks: olmOCR0-bench, opendataloader-bench, ParseBench

Introducing LiteParse v2.1. The v2 base version was already the fastest document->text parser on the planet, and with this new release we’ve introduced markdown.

It is fully open-source (Apache 2.0) and free, is usable from CLI/Rust/Node/Python/WASM, and is also installable as a one-click agent skill.

Check it out: https://t.co/7oFImAZeb2

Come check out LiteParse: https://t.co/JNER0mVcB8

[つがさん | ファッション×モテ学 @tsuga_san]

【顔が老ける人は、ここが硬い】

シワじゃない。

ほうれい線でもない。

上あごです。

食いしばりで
舌と顎がガチガチになると、

首は短く見え、
フェイスラインはぼやけ、
疲れた顔になります。

顔は引き上げるより、
力を抜いた方が若く見える。

保存してまずは30秒やってみて

via Instagram seojeong_19

[Mustafa @oprydai]

this is how I learn btw.

Prompt: "You are a neuro-optimized tutor. I want to learn any complex skill 10x faster than others. Create a weekly learning blueprint based on spaced repetition, interleaving, Feynman technique, and active recall. Apply it to [insert topic]. I want to be in the top 1% in 90 days."

[Nav Toor @heynavtoor]

https://t.co/mFvSsFIzlm

[Machina @EXM7777]

THIS IS HOW YOU WIN IN 2026:

> build your own agent harness and power it with a council...
> use a frontier model as the orchestrator, then cheaper models to help making decisions
> use very few plugins, tools and skills
> spend time building your knowledge base
> craft perfect plans with the council
> execute with a cheap model

everything else is just marketing, this is how you move fast and make money

[Riley West @rileywestreel]

Andrej Karpathy (OpenAI founding member):

"This isn't the year of agents - it's the decade of agents. Stop chasing full autonomy: the AI products that win keep the model on a tight leash and make human verification instant."

in a 10-minute talk, Karpathy breaks down why "partial autonomy" - not fully autonomous agents - is the design pattern that's actually winning right now, from Cursor to Perplexity.

he calls the core mechanic an "autonomy slider" - and there's one loop every ai product lives or dies by.

Watch the talk, then read the article below.

That’s worth more than a $800 course on agent engineering.

[CyrilXBT @cyrilXBT]

Most people using Claude Code are accidentally burning money every day on tools that should have been free after the first session.

A senior engineer with 10 years of experience explained why in one Reddit post:

They’re calling the AI every time the tool runs. That’s the expensive way. Every execution burns tokens. The cost compounds daily, forever.

The free way: use Claude Code to write the tool once.

A scraper. A monitor. A neural network. Anything that runs on compute without touching the API again after it’s built.

He built a full neural network while cooking dinner. It runs for free. No tokens. No API calls. Forever.

Spend tokens once to build. Run free forever.

That distinction is worth thousands of dollars a year to anyone who gets it.

[孤桜ETH @GYLQ520]

兄弟们，有个狠人刚搞了个工具，能把PDF秒转成极其干净的Markdown，速度达到100页/秒，你敢信？🤯

不用显卡、不花API钱、没有乱七八糟的解析过程。只有原始、好用的数据，真的爽。

这玩意能干啥？我给你拆开看看：
1️⃣ 表格？完美提取，数据一点不丢
2️⃣ 破损布局？自动修复，烂页面变整洁
3️⃣ 嵌套数据？结构化清理，不绕弯子
4️⃣ 扫描稿？乱七八糟直接变可读

跟你说，这不是小打小闹的升级。这玩意儿一上线，九成的手动数据清理工作都要被干翻，一夜之间没人再熬夜扒数据。

这个工具叫OpenDataLoader，而且完全开源，免费拿走。

仓库在这：
🔗 https://t.co/1sxRJ2wapI

[Khairallah AL-Awady @eng_khairallah1]

this is f*cking gold

How to build your first AI agent (Full guide)

if I had this a year ago, I would've shipped my first agent in a day instead of 2 weeks

in the right hands, this changes everything:

[ℏεsam @Hesamation]

this Anthropic researcher wrote one of the best articles you can find here on AI research. obviously, Hamming's classic book is highly suggested to learn how to develop a "Research Taste".

[CyrilXBT @cyrilXBT]

https://t.co/u2ucBlAeTI

[ericosiu @ericosiu]

In twelve months, EVERY company will be running a Company Brain.

The teams who build it this year will spend the next year compounding. Everyone else is going to play catch up.

Here's what it actually is. You connect your Slack, your GitHub, HubSpot, all your tools into one intelligence layer, then build the org chart around it: a main brain up top, a fleet commander running the agent fleet, specialist sub-agents handling execution.

The reason it works is change management basically disappears. Your team already lives in Slack. You're just adding agents to the room they're already in.

You NEED to start building yours now. In a year this will stop being an advantage and will become table stakes.