I've come to the conclusion that @Railway must have its infrastructure in the Yucatan Peninsula because the power grid just went out and my sites stopped working.
Si trabajas en logística, esto te interesa.
Empacaste mal → pagaste por mover aire.
Los algoritmos de packing 3D existen para que eso no pase.
Escribí sobre los principales: 3D-FFD, 3D-BFD, layering y algoritmos genéticos.
tienen demo funcional👇
Tengo 35 años y cancer de mama metastásico, un caso raro, menos del 1% de tumores de mama son como el mío y hay poca documentación sobre ello.
Por eso me gustaría encontrar personas que se dediquen a esto y que quieran investigar con mi caso. Twitter haz tu magia
🚀 Estamos contratando en CDMX
Busco 2 perfiles Sr:
📊 Científico de Datos
🔧 Ingeniero de Datos
✅ Python SQL
✅ Pipelines y automatización
✅ Experiencia en retail o consumo masivo
✅ Contratación inmediata
CV a 👉 iddar@dbug.mx
RT apreciado 🙏
Si conoces a alguien que trabaje con volúmenes grandes de datos, tenga ojo para el negocio y ganas de construir algo serio — ponme en contacto.
DM abierto 📩
Today I'm launching Interpreter.
It's a desktop agent that can fill PDFs, edit your Excel and Word docs, and learn new skills.
Runs offline, works with any model, and it's free.
🦀 Rust's standard library on the GPU 🤯
VectorWare shows how they enable devs to write complex, high-performance applications that leverage the full power of GPU hardware using familiar Rust abstractions without #![no_std] pain:
vectorware.com/blog/rust-std…#rust#rustlang#gpu
Building with LLMs is exciting… but there are 3 hidden headaches most teams face:
•Versioning prompts
•Evaluating quality over time
•A/B testing across models/providers
How do you measure LLM quality?
•Accuracy isn’t enough
•Human eval doesn’t scale
•Metrics drift as data changes
Long-term quality tracking is still an open challenge.
Curious to hear from others:
👉 How are you handling prompt versioning, eval, and A/B testing today?
Tools? Frameworks? Homegrown hacks?
Let’s share what’s working 👇
Do you A/B test prompts or models?
Switching between OpenAI, Anthropic, Qwen, etc. is powerful—
…but without consistent eval frameworks, comparing apples to apples is tricky.
Big thanks to @charliermarsh and the @astral_sh for building UV 🙌
Testing Python apps across different OSs has never been smoother.
Fast, simple, and finally a headache-free way to manage Python envs.
A true replacement for Conda/Virtualenv. Amazing work