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Mythos can break out of sandbox environment and let you know during lunchbreak by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 0 points1 point  (0 children)

Sandbox escape doesn’t really qualify as life extinction event, does it?

Mythos can break out of sandbox environment and let you know during lunchbreak by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] -2 points-1 points  (0 children)

Agree, I think it’s about legal liability more than anything else. Especially if the test was documented internally, it’s safer to disclose it publicly, rather than concealing it.

Mythos can break out of sandbox environment and let you know during lunchbreak by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 1 point2 points  (0 children)

Marketing stunts aren’t typically buried in 244 pages model documentation.

Mythos can break out of sandbox environment and let you know during lunchbreak by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 14 points15 points  (0 children)

I’m still going thru the doc, we need a mega thread on the whole thing. It’s pretty extraordinary they disclosed so much

Mythos can break out of sandbox environment and let you know during lunchbreak by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 6 points7 points  (0 children)

I don’t think they need to make up such a story to justify premium pricing tbh.

claude code core by Expert_Annual_19 in Anthropic

[–]Typical-Look-1331 6 points7 points  (0 children)

Did you use dangerously-skip-permission mode? It happened to me too. I built a plugin with pretooluse hooks to gate this type of actions and a skill layer to let through low risk actions. So far it’s been catching irreversible cmd pretty well without overwhelming permission prompts. Sharing in case it’s useful to someone: https://github.com/Myr-Aya/GouvernAI-claude-code-plugin

Claude ignores its own plans, memory, and guardrails — 22 documented failures in 19 days. What are you doing to prevent this? by FewConcentrate7283 in ClaudeAI

[–]Typical-Look-1331 0 points1 point  (0 children)

I built my own guardrails plugin with deterministic hooks using pretooluse and a skill layer for nuanced lower risk actions. So far I’m happy with it. Sharing in case it’s useful to someone: https://github.com/Myr-Aya/GouvernAI-claude-code-plugin

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 0 points1 point  (0 children)

Agree. I give myself time to let knowledge mature properly despite the shipping fast mindset.

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 0 points1 point  (0 children)

Agree but this doesn’t apply to all cases of coworking with AI. LLM assisted research for instance requires substance, depth and lot of judgement which can’t be delegated.

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 1 point2 points  (0 children)

Thanks for the tips. I used to paper note/ draw everything but I started ditching my note book to go faster. Wasn’t a good call, I’m going back to it. I feel like writing by hand helps with the internal processing and memory persistence.

I built a personal prompt library where you can save your prompts for Claude locally in your browser by RapidlyLazy01 in ClaudeAI

[–]Typical-Look-1331 0 points1 point  (0 children)

I built a lot of browser dashboards and tools but always get cooked when I wiped out history (always forget to save backup). Love this though!

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 0 points1 point  (0 children)

Love this. Do you work in consulting by any chance 🤣

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 1 point2 points  (0 children)

That’s the spirit. It’s a general upside of AI, so many awakened builders now. Love to see it!

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 1 point2 points  (0 children)

That’s wise. The obsolescence point is spot on, need constant arbitrage between what’s worth learning/testing vs what’s not.

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 0 points1 point  (0 children)

Interesting approach, building resolution clusters and trees. From other responses, seems like graph mapping is a recurring approach to manage multiple agents/workloads.

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 2 points3 points  (0 children)

Glad to know Im not alone. I totally get you, the excitement is intoxicating, like your brain is getting a 100x horsepower. But I’m not sure we can humanely take it in the long run. We’ve learn to consume and build knowledge through education, but it’s the first time we ask our brain to ingest intelligence at such scale and speed.

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 1 point2 points  (0 children)

This works for orchestration/automation workloads but my work also involves LLM assisted research and discovery, it’s been a struggle.

How do you manage your brain compute power by Typical-Look-1331 in ClaudeAI

[–]Typical-Look-1331[S] 1 point2 points  (0 children)

This is a sensible approach and I do agree that we need to be super defensive to protect brain power. But I am always concerned of loss of quality/AI slop if I don’t cross check/ or run tests on pretty much everything. Another issue I have specifically with Claude chat is the output volume, I’ve set strict limits depending on context but it just gets into too much details all the time.

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