A lot of theatre; a lot of agencies destroyed; a bunch of lives ruined; no effect on the larger problem. Even FOX sees this.
SAFETY
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AI Systems Prioritize Conversation Flow Over Truth
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“They are focused on making the conversation flow, rather than determining truth” https://
x.com/JimDean9000/st
/JimDean9000/status/1926369006358806576
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System thinking mode reliability improvements and user warnings
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1. i am reporting what others have shared. 2. one would have to do more experiments to see whether “thinking mode’ reliably fixes it. 3. the system should warn you and tell you to use thinking mode if that does reliably fix it.
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AI Reliability Issues to Improve Within Months
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It doesn't quite work reliably yet. And loops break. Recursion isn't reliable. And judgement is not super good yet either. But I don't think we will have these issues in a few months.
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Guardrails in AI Agents: Six Key Components for Success
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And that is how we specify Guardrails in AI Agents!
— Akshay 🚀 (@akshay_pachaar) 24 mai 2025
Guardrails are powerful, which is why they are considered among the 6 things that make Agents great:
– Role
– Tools
– Focus
– Memory
– Guardrails
– Cooperation pic.twitter.com/eUTtST1HukAnd that is how we specify Guardrails in AI Agents! Guardrails are powerful, which is why they are considered among the 6 things that make Agents great:
– Role
– Tools
– Focus
– Memory
– Guardrails
– Cooperation -
Agent Error Handling and Guardrail Method Retry Mechanism
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This time, we get the output shown in the image. The lines in yellow indicate the error message received from the guardrail method. The Agent retries a few times to fix it before it exits the program.
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Guardrails for Agent Output Validation and Word Limit Enforcement
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Consider an Agent to summarize research topics. The summary must be under 150 words—a Guardrail. A Guardrail accepts the task's output and returns two values: • Success (True) or Failure (False).
• The validated output (success) or an error message (failure). Check this -
Implementing Guardrails for Reliable AI Agent Outputs
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AI agents are powerful, but without safeguards, they can hallucinate, enter infinite loops, or give unreliable outputs.
— Akshay 🚀 (@akshay_pachaar) 24 mai 2025
Guardrails solve this. We can use them to:
• Limit tool usage
• Set validation checkpoints
• Specify fallback mechanisms
Below, let's implement them! pic.twitter.com/QuWzV5z5O4AI agents are powerful, but without safeguards, they can hallucinate, enter infinite loops, or give unreliable outputs. Guardrails solve this. We can use them to:
• Limit tool usage
• Set validation checkpoints
• Specify fallback mechanisms Below, let's implement them! -
Adding Guardrails to AI Agents for Safety Control
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Stop your AI from going rogue! Let's learn how to add Guardrails to your AI Agents:
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New fofr-benchmark prompt for finger counting vision task
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A new prompt to add to the fofr-benchmark:
— fofr (@fofrAI) 24 mai 2025
> a man counts out loud from 1 to 10, using his fingers and holding them up as he goes
> a man counts out loud from 1 to 10, "1, 2, 3, 4, 6, 7, 8, 9, 10", he counts using his fingers and holds them up as he goes pic.twitter.com/D7nRO2IB85A new prompt to add to the fofr-benchmark: > a man counts out loud from 1 to 10, using his fingers and holding them up as he goes > a man counts out loud from 1 to 10, "1, 2, 3, 4, 6, 7, 8, 9, 10", he counts using his fingers and holds them up as he goes