The AI Burrow 🐰🕳️
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Sharing AI experiments, half-formed ideas, and the occasional rabbit hole.

Group Chat:
https://bit.ly/aiburrowchat
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Security 101: The Cost of Convenience

With the recent wave of exploits involving platforms like Vercel, Lovable, and Context, it is time for a reality check. The gold rush of plug-and-play AI agents is creating massive security blind spots in our workflows. Whether it is an enterprise suite or a trending GitHub repo, over-permissioning is a high-stakes gamble.

1. The “Checkbox everything” Permission Trap

Many AI agents require broad access to your entire workspace: Gmail, Slack, Notion, or local file systems, to maximize utility.

Giving a third-party tool full read/write access creates a single point of failure. As seen in the recent Mythos discussions, if their database is compromised, the attacker doesn't just get your login; they get your entire digital history.

2. Risks of Unvetted Open Source on GitHub

If you are pulling repos that haven't been reviewed, you are inviting an unverified guest into your system. Always inspect the code for obfuscated scripts or unexpected outbound calls before hitting install.

3. Local First & Isolate

Local LLMs: Use Ollama for sensitive tasks so data never leaves your machine.

Sandboxing: Use Docker or a VPS to isolate new agents from your primary environment.
Permissions: If a tool only needs to read a specific file, don't give it access to the root directory.

4. Audit Before You Automate

Before you hook a new agent into your OpenClaw setup or Second Brain database, ask:

> Does this tool actually need these permissions?
> Where is the data stored and who holds the encryption keys?
> How quickly can I revoke access if things go south?

Staying at the cutting edge shouldn't mean leaving the door unlocked. Build fast, but build secure.

Stay safe out there!
https://openai.com/index/introducing-gpt-5-5/

GPT 5.5 is out!

We’re releasing GPT‑5.5, our smartest and most intuitive to use model yet, and the next step toward a new way of getting work done on a computer.

GPT‑5.5 understands what you’re trying to do faster and can carry more of the work itself. It excels at writing and debugging code, researching online, analyzing data, creating documents and spreadsheets, operating software, and moving across tools until a task is finished.

The gains are especially strong in agentic coding, computer use, knowledge work, and early scientific research
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Saw this in another group:

Singapore is the world’s biggest user of Anthropic’s Claude on a per capita basis
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豆包’s seedream —Amazing.

👍👍👍👍
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Vivian Balakrishnan messing around with Openclaw and Karpaty’s LLMwiki’s secondbrain wasn’t on my 2026 Bingo Card!

“The diplomat who learns to work with AI will have a meaningful edge. I think that edge is now”

Running an Openclaw workshop next week if you need some guidance: last few slots left!

https://luma.com/htvx3vuo
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Anyone who hasn’t subbed to Claude yet and is already considering subscribing? I have some 7 day trial referral codes
This is really scary (especially for production businesses)

Cursor fails again. Always remember to do periodic backups!

https://x.com/lifeof_jer/status/2048103471019434248
went to the Claude Community SG meetup last night

five demos - two technical. three weren’t.

wrote up some notes. longer form than usual but worth reading:

https://hosanxiv.substack.com/p/i-went-to-the-claude-community-singapore
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https://epicure.kaikaku.ai/

This is pretty crazy. AI just learned to "taste" the latent structure of food from recipes alone.

With epicure, I selected random ingredients and it gave me a science-backed recipe that will taste good

It’s a big unlock for creative cooking tools, food science, and eventually robot kitchens

Try this out for your next meal perhaps?