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We have made this model even better at programming in Windows. Give it a shot :)

Will it also remove the whole D:\?

Can you invite me? In the off chance, my email is in my profile, but reversed.

You mean its ability to use powershell, or something else?

We have trained this model on Windows (our first model to do so). Give it a try!


Palash this is a great post, I learnt a lot as an image gen noob! Keep writing more :)


this is incredible to hear! i plan to keep writing on a weekly basis, and will be posting them on twitter.


Amazing, I briefly worked on WSL v1 in 2015! 10 years and going


https://github.com/abshkbh/arrakis Also building in this space using MicroVMs. Currently working on a Mac port. Would love to connect - abshkbh AT gmail.com


https://github.com/abshkbh/arrakis

Will come with MacOS support very soon :) Does work on Linux


I tried this path and found that MacOS has horrible support on firecracker and similar.


Crosvm (our original Google project) and its children projects Firecracker, Cloud-Hypervisor are all based on top of "/dev/kvm" i.e. the Linux Virtualization stack.

Apple's equivalent is the Apple Virtualization Framework which exposes kvm like functionality at a higher level.


Morden software consists of separation of responsibilities between services and a higher plane orchestrating the data flow for business logic.

If you believe there is value in fuzzy tasks being done by LLMs then from that it follows that having separate "agent" services with a higher order orchestrator would be required. Each calling LLMs on their own inside.


I don't buy it. Why would I want my LLM to talk to some other LLM and introduce even more space for weird, non-deterministic bugs when I could have my LLM call a deterministic API to achieve the same thing?


Isn't an agent just a system prompt + specific tools? Why not just switch out the system prompt and tools in the same context?


No.

You have anything else that modifies the context, tools, model, and most importantly perhaps the iteration that controls what's going on with those other values.


Why do you assume there's a deterministic API doing the same thing?


Because if a company built an LLM that can perform actions, they almost certainly did that by building an API first for it to use as a tool.


But so much more besides that, including the model itself, RAG, the agentic workflow control, moderation, etc. There's also a huge factor of maintenance, that's a key reason why companies have different internal and external APIs - they don't just open up everything internal and hand the code for managing all of that to you. Interface design is really important.

Not to mention the cost being a factor here - who pays for which part.


Offering up an LLM-fronted "agent" for people to send their LLMs to talk to feels a whole lot more expensive and complicated to me than operating a traditional API endpoint.


A traditional API endpoint wrapping an agent? That's pretty much what this is but as a standard so we don't need to build thousands of them.


Because there often is?


Thank you :)


Ty! Ashish, excited to chat more about this tech.


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