3,377 karma · joined January 1, 2014
Some people even take pride on being able to detect (often falsely) AI generated work.
I think you guys are misunderstanding me, you can still talk to a llm to learn everything about physics or maths.
Edit: do give counter examples if you have any in maths, physics, chemistry, biology etc
I think pretty much the opposite. I can ask it to explain to me in ways I understand it. Even drill down the simplest of equations. Since llms have infinite patience. All I need to learn anything is patience.
In case someone wants to deep dive into how codex and claude code approaches sandboxing -https://instavm.io/blog/how-claude-code-and-codex-approach-s...
More like a red team.
this is just a side project though for me
dangerously skip permissions and yolo is kinda becoming the default as it gets more done.
Finally there is evidence that the model kinda actually knows the correct token spend on each method.
1. Tarit - https://GitHub.com/instavm/tarit
1. https://instavm.io/blog/nixos-reproducible-dev-environments-...
You can do exactly that with coderunner
Opus 4.8/4.7 scored 28%
Opus 4.6 score 37%
So the author thought as let's not get into that just write Claude.Also the throughput kind of increases since providers are different.
1. https://github.com/instavm/murmur - Murmur
Apart from the above features.
1. We support more than 32GB disk (as a shareable device, ideal for agentic memory)
2. We provide egress control
3. We provide vault for secret injection (to counter prompt injection)
4. Snapshot / forking.
5. long lived sandboxes.
Everything supported in APIs and CLI for agents.Can be used via - npx skills add instavm/skills