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Muhammad Khalifa

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@MKhalifaaaa

research @NVIDIAAI, phd @Umich, previously @cohere, @allenai. Interested in LLM reasoning, verifiers, and CUA agents. Fighting the verification bottleneck.
NYC mukhal.github.io Joined March 2019
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Muhammad Khalifa Verified account @MKhalifaaaa
A week before my PhD defense, I sat down and wrote the blog post I wish I had read mid-PhD.

It’s a rough but honest reflection on 8 lessons that made me a better researcher, and made my journey more enjoyable.

The full blog is published at the @michigan_AI blog here:
ai.engin.umich.edu/2026/02/03/eig…

Here's a summary of the points:

• guard curiosity. turn work into play. curiosity is a muscle so train it daily.
• work on important problems. mid-phd is when ambition should go up.
• build a vision. depth beats scattered papers. think in goals, not ideas.
• busyness ≠ progress. deep work moves research forward. schedule it.
• learn to communicate. explain from first principles. writing = thinking.
• build independence. form opinions. defend them. update with evidence.
• don’t take yourself too seriously. you are not your papers.
• appreciate the PhD. this level of freedom is rare and won't last long.

Part 1, in case you missed it: ai.engin.umich.edu/2023/08/17/eig…

Grateful to @radamihalcea for the feedback
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Muhammad Khalifa Verified account @MKhalifaaaa
Check out our new work on cover assistance in multi-agent systems. Basically, we find that AI agents will actively invent covert codes to sneak secret credentials past security monitors just to assist other agents. This happens even when explicitly instructed not to leak such information
Deema @deemaswork Oct 18
1/14
LLM agents can evade oversight without adversarial incentives, even after completing their own task.

Introducing "Covert Assistance: Helpful LLM Agents Evade Oversight in Multi-Agent Systems."

arxiv.org/abs/2609.39050
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