Javier C Sal

trading with AI Agents and not the other way around thanks to @bcubeai. @b3xai advocate!

[Javier C Sal @javierpiros]

@Guru_BCUBE Gm guru!

[Javier C Sal @javierpiros]

@thorstenball How do you build such a good and responsive TUI?

[Pete Oxenham @peteoxenham]

holy crap, it’s beautiful

he deslopped amazon

[Tom Osman 🐦‍⬛ @tomosman]

This "loop" automation is nuts inside of Codex.

"/goal go over every single feature in this app create a user story with expected behaviour based on the code keep a single canonical spreadsheet tracking the features status
- when done switch loop to testing every user story and documenting all errors
- when done fix every logistical error or ux error
- test every user behaviour again post fix"

Shoutout to @MatthewBerman for the heads up.

Hundreds of user stories being worked through like it's nothing.

[Movez @0xMovez]

Creator of Claude Code:

"At Anthropic, almost 100% of our engineers are running 100+ agents with self-improving loops

self-improving loops help agents become better with each run."

in a 1-hour podcast, Boris explains how they build agents loops from sratch.

Claude + loops + routines + dynamic workflows - that’s the secret.

Watch the talk, then read how to apply the same playbook to quant trading below.

[Theo - t3.gg @theo]

I underestimated how cool this workflow is.

Had Codex go through a bunch of stale PRs last night. Closed all the useless ones, revived all the out of date ones.

Each "revived" pr got a thread to build it and a 2nd to review it.

[Javier C Sal @javierpiros]

@Guru_BCUBE Gm guru!

[Google Earth @googleearth]

Prepare for takeoff. ✈️ Flight simulator is now available globally on web to all users. https://t.co/hQP0No142P

We've recently added many our most powerful professional desktop features to web. Elevation profiles, new import types, but there's always been one other feature you've been asking us to add to the web version of Google Earth, just for fun...

Where will you fly? Share your best maneuvers, views, and flyovers with us!

[Javier C Sal @javierpiros]

@herqles_es Pero jefe de que, este tipo debería ser juzgado por traición a los votantes que le han llevado a ese puesto para inmediatamente convertirse en tránsfuga. Traidor, nadie olvida lo que has hecho.

[Tom Dörr @tom_doerr]

500-hour AI infrastructure engineering curriculum

https://t.co/wVx160z46c

[Alex Finn @AlexFinn]

You should NEVER be downloading AI agent skills from the internet

It's the biggest attack vector for security breaches right now

Tons of skills in the public skill sites you see are compromised with prompts that open your computer up

Do this instead:

If you see any skill you want your agent to have, give the link to your agent

Say "look at what this skill does. I want you to do something similar. Think about how this fits into our workflow and how you'd use it. Then build your own version of it, custom for what we do"

Your agent then will build its own, secure version that can't have dirty prompts from random people on the internet

This is the biggest security practice you can implement

[Ihtesham Ali @ihteshamali]

A guy named nbatman on Reddit accidentally built the most useful website on the internet.

It's called FMHY (Free Media Heck Yeah).

This is the website Google delisted from search for DMCA violations, Reddit shadow-banned for promoting piracy, the Motion Picture Association flagged as a top piracy threat, and the RIAA pressured hosting providers to drop. It is still online. It is still updated every month.

Here's how it works.

FMHY is the index. The wiki itself hosts nothing. It just tells you where every free thing on the internet actually lives, organized into 14 categories with safety ratings on every single link.

→ Movies and shows in 4K from 50+ streaming sites
→ Music at Spotify and Apple Music quality
→ Adobe Creative Cloud, Microsoft Office, AutoCAD, JetBrains
→ Every paid course on every major learning platform
→ 100 million books and papers through Anna's Archive
→ Free alternatives to every paid AI tool
→ A SafeGuard browser extension that flags unsafe sites in real time

It started as a single Google Doc maintained by one Reddit moderator in 2018. Google killed it with a DMCA takedown in 2023.

The community rebuilt the wiki on its own domain, mirrored it to GitHub and IPFS, and now runs it across 12 backup domains simultaneously.

There is no company. No CEO. No central server. Six anonymous volunteers maintain the entire thing in their spare time. Donations through Ko-fi pay for the hosting. Nobody profits.

Hollywood can't shut this down. Spotify can't shut this down. Adobe can't shut this down.

The entire subscription economy is held together by you not knowing this wiki exists.

https://t.co/AAr2rLlqgy

[Javier C Sal @javierpiros]

@Guru_BCUBE @carlosroldanx @Bcubeai @Tilines_Game @Elixir_Games @SolanaFndn @alea_game Cockroach @carlosroldanx

[Javier C Sal @javierpiros]

@ONSET100x @elonmusk Gold

[@levelsio @levelsio]

So @loaibassam asked me my stack recently, I replied:

FREE:
Nginx web server on Ubuntu (free)
Auto upgrade with unattended-upgrade (free)
Scheduled workers with Cron (free)
Vanilla PHP for site backend (free)
Vanilla CSS (free)
Vanilla JS for code (free)
Game servers I do in vanilla Node JS (free)
SQLite for DB (free)
Python for tool scripts (free)
Cloudflare with Cloudflare tunnel for DNS/SSL (free)
Tailscale for security (free)
OpenFreeMap for maps (free)

CHEAP:
xAI for AI API (cheap)
Stripe for payments (cheap)
Cloudflare R2 for image storage (cheap)

Hetzner VPS ($4/mo)
Cloudflare domain reg (~$10/year)

So about ~$5/mo total costs with about ~5M unique visitors per month per site (these are site averages)

[andrew engler @aerockrose]

Yesterday, Andrej Karpathy gave a 30-minute Sequoia masterclass on agentic engineering.

This is the serious layer above vibe coding.

He explained:
- LLMs as ghosts
- The app that shouldn't exist
- Outsource thinking, not understanding

12 lessons that will blow your mind: 🧵

[Kirill @kirillk_web3]

A SINGLE CLAUDE.md FILE JUST HIT #1 ON GITHUB TRENDING.

82,100 stars. 7.8k forks. zero dependencies.

Bookmark this before you forget. And your Claude will start working differently.

4 principles. one file. Karpathy's LLM coding habits. distilled.
> think before coding.
> simplicity first.
> surgical edits only.
> goal-driven targets before starting.

swap it into your CLAUDE.md today.
your Claude Code becomes a different tool.

Read it today. Link below.

Claude → Skills → CLAUDE.md → Better Code → Better Systems → Money

[TheRealCherokeeOwl 🦉 @CherokeeOwl]

🥩 Holy Grail Alert: Rubia Gallega Buey at Amaren Bilbao

Imagine a 7-year-old Galician ox — slow-raised in the misty hills of northwest Spain — then dry-aged 130 days.

The result? Insanely marbled, buttery, deeply savory beef with that rich, complex umami that makes your eyes roll back. Not your average steak… this is old-world magic on a plate.

Grilled simply over fire, sliced, and devoured.
If you love real beef, this is the one you dream about. 🇪🇸🔥

Who’s booking a flight to Bilbao right now? 🍖

[Kevin Simback 🍷 @KSimback]

🚀 Want FREE models you can plug into OpenClaw or Hermes?

Here are 9 resources you can use for free access to model APIs

No local setup, no credit card, just pure cloud APIs with OpenAI-compatible endpoints

You can’t get free Opus quality (yet) but all of these have genuine free tiers right now (rate limits may apply) and are good enough to get started if you don’t want to spend $ to get started with agents

1️⃣ OpenRouter Free Models

(Gemma 4 31B/26B, NVIDIA Nemotron 3 Super 120B MoE, MiniMax M2.5, Qwen3 variants, Llama 4/3.3, gpt-oss-120B, Arcee Trinity, etc.)
• ~29 completely free $0/M token models
• Insane variety + top-tier open model evals (especially coding & agents)
• Best for rotating models automatically
👉 Sign up: https://t.co/lF3pCq2JQi

2️⃣ Google Gemini API

(Gemini 2.5 Pro / Flash series)
• Strongest overall free frontier model
• Excellent multimodal, 1M+ context, native tool calling & agentic performance
• Very generous free limits (often 5–15 RPM)
👉 Sign up: https://t.co/SD0lce4POW

3️⃣ NVIDIA

(Nemotron variants, Llama 3.3 70B, Qwen3 235B, Mistral Large, etc.)
• Optimized high-performance open models
• Free prototyping tier (~40 RPM)
👉 Sign up: https://t.co/NYge234QBv

4️⃣ Grok Cloud

(Llama 4 Scout, Llama 3.3 70B, Qwen3 32B, gpt-oss models, etc.)
• Blazing-fast inference (hundreds of tokens/sec)
• Perfect for real-time agents
• Strong open-model performance with solid free tier
👉 Sign up: https://t.co/nWzQ3v2h9o

5️⃣ Cerebras Cloud
(Qwen3 235B, Llama 3.3 70B, DeepSeek variants, etc.)
• Massive models with excellent reasoning/coding evals
• Very generous daily free limits (~30 RPM, up to 1M+ tokens/day on some)
👉 Sign up: https://t.co/R7ZVOhH02N

6️⃣ Mistral La Plateforme
(Mistral Large 3, Small 3.1, Ministral 8B, etc.)
• Strong in coding, multilingual & agentic tasks
• Solid free tier (~1 req/s, ~1B tokens/month)
👉 Sign up: https://t.co/WgUK1oVHjL

7️⃣ Cohere
(Command A, Command R+, Aya Expanse 32B, etc.)
• Free tier: 20 RPM, 1K requests/month
👉 Sign up: https://t.co/u55lZewHXf

8️⃣ GitHub Models
(Llama 3.3 70B, DeepSeek R1, some GPT-4o previews, etc.)
• Decent mid-tier evals with easy GitHub integration
• Free tier limits (10–15 RPM)
👉 Sign up: https://t.co/4zUHmjTtrA

9️⃣ Cloudflare Workers AI
(Llama 3.3 70B, Qwen QwQ 32B, etc.)
• Lightweight but solid for simple agents
• Free tier: 10K neurons/day
👉 Sign up: https://t.co/0GME3k1AQr

Pro tips for agent builders:

• Most work instantly with OpenAI SDK (just change base URL + your key)
• Start with OpenRouter for quality/variety (they often feature new free models)
• Add Groq as speed fallback
• Rotate providers when you hit caps

Free intelligence for your agent is just a signup away!

[Nona @Nona_xai]

Este tipo tiene 20 años, estudiante americano, y acaba de hacer lo que equipos enteros no lograron en dos años.

Una noche. 3 dólares en componentes. Un diodo infrarrojo, un fotorresistor, un microcontrolador del tamaño de una moneda, un portátil viejo.

Claude Code para convertir los datos en coordenadas articulares en tiempo real. Resultado: 21 puntos de seguimiento, precisión al milímetro.
Graba 14 segundos en su baño. Lo publica en Twitter.

No se lo dice a nadie. Siete días después, una gran empresa tech le llama. Llevaba dos años desarrollando un casco de AR y buscaba exactamente esa tecnología. Había gastado millones. No tenía nada.
Al día siguiente le ofrecieron 230.000 dólares.