hztar

Then you have not analyzed a lot

Race to the bottom? Tell me more

Super ! Bloom filters are smart. Created a hierchial bloom filter for a revisit log for an indexer almost 20 years ago. Saved us $$$ and a still kind of proud of it

Freaking love Aider. MCPs are supported soon as well. Testing a development branch. Then you can actually develop end to end using PR, tickets etc using models you trust.

It's true that Tsetlin Machines are currently a fringe area of ML research, especially compared to the focus on deep learning advancements coming out of SF and China. It's early days, but the energy efficiency potential is insane. I believe further investment could yield significant results. Having been supervised by the creator, I'm admittedly biased, but the underlying foundation in Tsetlin's learning automata gives it a solid theoretical grounding. Dedicated funding is definitely needed to explore its full potential.

You have stuff like: https://www.literal-labs.ai/tsetlin-machines/ and https://tsetlinmachine.org/ European initiatives..

whut.. transferred TB of data per hour with Rabbit.. does it not scale anymore?

Another one.. https://github.com/olimorris/codecompanion.nvim

We experienced the same thing. Pulled the plug on using the cloud version

you sound like a Cobol developer I once knew.. RIP

The ones I have been talking to stick to their Excel because their little part of the puzzle can solved by Excel. These technologies usually demand data to be collected, but the amount of incentive to do so is low in any classic balkanized F500 organization.