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Malam hebdomadis fīnem dīmicātiōnis Londīniī habuī. Certāvī in London HEMA Open certātiōne in trēs categoriīs (in hōc ordine): acīnacēs, dolō cum pugiōne et ēnsis longus.

In acīnace, bis vīcī ac bis victus sum in circulō, cōnficiēns trīcēsimus ante ēlīminātiōnem, quō (meritō) victus sum in gradū prīmō.

In dolō cum pugiōne paulum melius pugnāvī - ter vīcī et bis victus sum, cōnficiēns vīcēssimus secundus. Tamen, quia (nimis?) sēro fuit, administrātōrēs sēdecim tantum proeliātōrēs (ā quīnquāgintā octō) in ēlīminātiōnem prōgressī esse statuērūnt. Hm 😕

In ēnse longō plānē stultus fuī. In circulō omnia certāmina vīcī, octus post circulōs fuī, sed, ut proximō annō, victus sum in gradū prīmō ēlīminātiōne 🤦‍♂️ Cūr...

I had a bad fencing weekend in London. I competed in the London HEMA Open tournament in three categories (in this order): saber, rapier and dagger, and longsword.

In saber I won two and lost two fights in the pool, ending up 30th before elimination, where I lost (deservedly) in the first round.

In rapier and dagger I fought a bit better - I won three times, and lost two times, ending up 22nd. However, because it was (too?) late, the organisers decided to let only 16 fighters (out of 58) into the elimination. Hm 😕

In longword I was just simply stupid. In the pool I won all bouts, but, like last year, I lost in the first round of elimination 🤦‍♂️ Why...

#hema #historicalfencing #fencing #sword #saber #rapier #dagger #rapieranddagger #longsword #tournament #competition #martialarts #sport #latin #lingualatina

We’ve been working hard the last few months to introduce the llm primitive as a new type in #dagger. You now get an SDK, sandboxed execution envirnment, and observability layer to build your ai agent. This makes dagger a perfect place to experiment with building your own agents.
It’s been so cool to see what people have built with it so far and I can’t wait to see what you are able to do. dagger.io/blog/llm

dagger.ioDagger | Agents in your software factory: Introducing the LLM primitive in DaggerDagger now integrates LLMs directly into software delivery workflows, enabling AI-driven software-delivery workflows and controlled environments for coding agents while maintaining full control, observability, and reproducibility.

Check out this new lab from @sagikazarmark.com on how to test and release #helm charts with #dagger.
labs.iximiuz.com/tutorials/tes
Mark is a Dagger, Helm, and Go expert. I always learn something useful when looking at his code. Thanks so much for putting this together!

iximiuz LabsTesting and releasing Helm charts with Dagger | iximiuz LabsLearn how to test, package and release Helm charts using Dagger.