TrinaxCode

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TrinaxCode

TrinaxCode

@TrinaxCode

Full Stack Web Developer · React · TypeScript · Django · Firebase · Local AI/RAG Building real products, not tutorial demos. CS50 + Code In Place 2026.

Tuxtla Guttiérrez Katılım Ocak 2026
36 Takip Edilen1 Takipçiler
TrinaxCode
TrinaxCode@TrinaxCode·
@precisox Dificilmente un developer con experiencia elige win, mac es 1000x mejor
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precis0x
precis0x@precisox·
Si las macbooks tienen un rendimiento tan potente. Por qué la mayoría de los desarrolladores todavía eligen windows??
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Tibo@thsottiaux·
Hello people of Sol! I've reset usage limits for all ChatGPT Work and Codex users. Together with that, a quick update on GPT-5.6 Sol usage limits. Over the past few weeks, many of you have told us that Sol was using your Codex limits faster than expected. To be clear, we have not reduced usage on any subscription plans. We’ve been digging into what was happening and have landed several improvements. As a result, we expect your usage to last around 18% longer during typical use of Sol. Some of you should already see significantly larger improvements from today. Tomorrow, we’ll also restore the five-hour limit that we temporarily paused while investigating. Here’s what we found: - GPT-5.6 Sol is much more willing to work for longer, make additional tool calls, and coordinate complex workflows across tools and subagents. That makes it better at solving hard problems, but some tasks were using far more than we intended. - Sol also works harder at the same reasoning effort than previous models. High on Sol can use more tokens than High did on GPT-5.5. - Programmatic tool calling, also referred to as code mode, gives Sol much more flexibility to run tool calls in parallel or continue working while waiting. But it also led to more responses per turn, more cached input tokens, and higher usage than expected. - This was particularly noticeable when Sol was waiting for tool calls to finish or running many web searches. We’ve improved how we handle both cases and are continuing to make code mode more efficient. - The impact was also very uneven. The median user actually found Sol quite token efficient, while some power users working on harder tasks saw their usage drain much faster. We were very focused on average and median usage before launch and missed some cases where the long tail could use significantly more usage. Sol is a significant step forward in what Codex can do, but capability and efficiency do not always improve at the same pace, and some issues only become clear once people are using the model at real-world scale. We should have recognized this sooner and been more upfront about it. You keep pushing the frontier and we’ll keep improving efficiency and sharing updates as we go.
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Tibo@thsottiaux·
We’re celebrating the fast adoption of chatGPT Work and all the incredible effort that went into it today. I’m feeling like a limit reset. Hold on tight to your ultra and /fast and see you in a few hours when I’m back at the laptop!
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La Agusneta
La Agusneta@Lagusneta·
Acá dos expertos siguen analizando la velada del año. Quédense tranquilos que el año que viene hay para todos.
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precis0x
precis0x@precisox·
Claude Opus 5 es una locuraaa. Sé literalmente nadaa sobre programación. CERO. y acabo de construir 3 aplicaciones web completamente funcionales en 30 minutos. http://localhost:3000/ http://localhost:8000/ http://localhost:5000/ Échale un vistazo y me dices qué tal.
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Miguel Ángel Durán
¡Ya es La Velada VI del Año de Ibai! La Web Oficial que desarrollamos ha sido un éxito De código abierto 1 millón de visitas este mes +4 millones de page views ¡Gracias por ayudarme a lograr esto!
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Toni Kroos
Toni Kroos@ToniKroos·
Football won
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Jun Song
Jun Song@jun_song·
Open Source AI updates : > GLM-5.2 ✅ Almost Opus-level > Kimi-K3 ✅ Almost Fable-level > Qwen-3.8 🔜 2.4T, Expected to beat Opus > Deepseek V4 GA 🔜 $0.0028/M Expected to beat Opus > Minimax-M3-Pro 🔜 3T, Expected to be Fable-level > GLM-5.5 🔜 Expected to beat Opus Holy
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precis0x
precis0x@precisox·
Se informa que deepseek v4 (GA) está en pruebas. Los primeros informes sugieren: - Rendimiento a nivel de Opus 4.8 - Comportamiento agentivo mucho más fuerte - Mejoras significativas en codificación - Avances importantes en generación 3D - Competidor directo de Kimi K3 y Claude Fable - Precio rumoreado: $0.0028 por 1M de tokens Si ese precio es preciso, DeepSeek V4 podría ser órdenes de magnitud más barato que los modelos de vanguardia actuales mientras ofrece una inteligencia casi de frontera. Esto podría ser una de las lanzamientos de IA más disruptivos que hemos visto jamás. El rendimiento se está convirtiendo en una mercancía. El costo se convertirá en el campo de batalla?
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Tibo@thsottiaux·
What are you building this weekend?
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Arena.ai
Arena.ai@arena·
Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5. This is a 17-place jump from Kimi-k2.6 (#18 -> #1). In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5. The full model weights will be released by July 27. Congrats to the @Kimi_Moonshot team on this major milestone!
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Kimi.ai@Kimi_Moonshot

Meet Kimi K3

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Tibo@thsottiaux·
Another reset for our Codex and ChatGPT Work users. Actually hit 9M active users way earlier today, but then got distracted by the approximately millions of things the team is doing to keep the systems up and reliable. Should have that sweet 100% weekly usage limit back in a few minutes. Go be your productive self and close twitter. Shoo!
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Vay🎗️
Vay🎗️@VaibhavSpark·
Bro didn't train the model, he traumatized it 😭
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Thomas Trimoreau
Thomas Trimoreau@TTrimoreau·
Show me what you’re building. I’ll check it out 👇
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TrinaxCode
TrinaxCode@TrinaxCode·
@midudev Como haces o se te ocurre una web asi midu?
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