5s for Docker containers vs 20ms now ... holy moly, this is fast
Readit Newsshaqbert commented on Show HN: We Put Chromium on a Unikernel (OSS Apache 2.0) github.com/onkernel/kerne... · Posted by u/juecd
shaqbert commented on The problem with OpenTelemetry cra.mr/the-problem-with-o... · Posted by u/robgering
Otel is indeed quite complex. And the docs are not meant for quick wins...
Otelbin [0] has helped me quite a bit in configuring and making sense of it, and getting stuff done.
The lessons from Ukraine war:
- "zerg" cheap mass produced unit approach is superior to "protoss" expensive but few units
- if you have expensive kit, better hide it in a drone/mid range rocket proof shelter
- pilots are a bottlneck resource in a peer war
- "jack of all trades" systems are inferior to "do one job well" systems
This is related to an earlier post [0] and shows the underlying open-source repo.
This looks amazing.
1- Is there an option to run your own "kraftcloud" in your own cloud account?
2- How does this compare to companies leveraging eBPF to squeeze more performance from the Kernel?
shaqbert commented on Show HN: Dealing with Claude 3 XML function calling so you don't have to · Posted by u/willbakst
This is surprisingly elegant and simple... whish I had found Mirascope like three month earlier.
On the repo roadmap section I am seeing RAG support coming up, this would be extra nice for my use case. Any ETA?
shaqbert commented on Show HN: Open-Sourcing Google's Lattice Models in PyTorch github.com/ControlAI/pyto... · Posted by u/willbakst
Hey all, I'm William Bakst, the creator of the library. I used to work at Google where I worked on the Glassbox research team (creators of TensorFlow Lattice and TensorFlow Constrained Optimization). It was crazy useful internally and approaches problems relevant to all kinds of businesses so I was kind of baffled that the 'open-source' version was only available to Google employs to contribute to. I think PyTorch has a better community around it anyways, so i've made an actual open-source version so any company that wants to take advantage of the explainability of a simple model like linear regression, but the accuracy of more complex models like deep neural networks, can start applying this now AND anyone can contribute, so hopefully this gets better and more accessible over time.
Hi William, super nice tech. Alas, I am suffering from lack of imagination, can you give some example use cases where this tech would really shine?
- team are scientists from the Wendelsten 7-X stellarator plasma physics experiement
- want to innovate on the two most impactful learnings from the experiment towards commercial fusion power, namely
- using high temperatur superconductors in these weird shaped magnetic coils
- 3D printing the water cooling vessels for the divertorshaqbert commented on New discovery points the way to more compact fusion power plants ipp.mpg.de/5334540/02_23... · Posted by u/shaqbert
Researchers at the Max Planck Institute for Plasma Physics (IPP) have found a way to significantly reduce the distance between plasma and divertor by modelling the X-point radiator.