🧵 1/12 New blog post alert! With @mmitchell.bsky.social, @evijit.io and @sashamtl.bsky.social we talk about what appears to be one of the biggest shifts happening in AI: agents. These aren't your typical chatbots - they're systems that can take autonomous actions based on high-level goals. - ThreadSky

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giadapistilli.com • 44 days ago

🧵 1/12 New blog post alert! With @mmitchell.bsky.social, @evijit.io and @sashamtl.bsky.social we talk about what appears to be one of the biggest shifts happening in AI: agents. These aren't your typical chatbots - they're systems that can take autonomous actions based on high-level goals.

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giadapistilli.com•44 days ago

2/12 A simple definition: AI agents are systems that can break down complex tasks and execute them with minimal human input. But what makes modern agents different is they're powered by LLMs and can handle increasingly unpredictable situations.

giadapistilli.com•44 days ago

3/12 Based on the amazing work of our @hf.co colleagues, we outline a taxonomy of agents based on autonomy levels:
- Simple processors (no autonomy)
- Routers (basic control)
- Tool call (execution control)
- Multi-step agents (workflow control)
- Fully autonomous agents (unrestricted)

giadapistilli.com•44 days ago

4/12 Key insight: the risks increase as autonomy increases. While a system that can route tasks might be relatively safe, one that can write and execute its own code brings significant safety concerns.

giadapistilli.com•44 days ago

5/12 Agents also vary in other ways:

- How proactive they are
- What tools they can access
- How personalized they get
- What types of interfaces they can control

And these all affect their potential impact.

giadapistilli.com•44 days ago

6/12 We mapped the ethical implications across multiple values: accuracy, privacy, safety, equity, trust and more. Each potential benefit often comes with corresponding risks.

giadapistilli.com•44 days ago

7/12 For example, agent consistency could reduce human bias in decision-making. But it might also perpetuate systemic biases at scale, and tracking consistency requires extensive data collection - raising privacy concerns.

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