Building https://xitter.cf/t.co/pRJXNjcrwa. Co-founder and CTO of Watchmouse (acquired by CA Technologies (acquired by Broadcom)).

The Hague, Netherlands
Joined October 2007
For any researcher in life sciences having a hard time staying current in their field: Paperzilla now has the PubMed literature index as a source. ✅ bioRxiv ✅ medRxiv ✅ ChemRxiv ✅ PubMed
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This is the second paper in our cybersecurity research week of new preprints. This gives a bit of insight into the "OMG NEW MATH PROOFS WILL BREAK CRYPTOGRAPHY" panic. 👀
Lately, people have gotten a bit stressed about AI-driven advances in math research. What if it makes cryptography weak? I personally don't think it is that easy, but this new paper shows there is something to it: a new mathematical approach (by humans in this case) made a cipher significantly weaker. Read the paper 👇
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Lately, people have gotten a bit stressed about AI-driven advances in math research. What if it makes cryptography weak? I personally don't think it is that easy, but this new paper shows there is something to it: a new mathematical approach (by humans in this case) made a cipher significantly weaker. Read the paper 👇
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Mark Pors 🦖 retweeted
Auditing the AI skills you use for potential vulnerabilities is a good practice, but what if it isn't enough? A new paper shows that two "clean" skills can become a security risk when an agent combines them. The researchers give a simple example: - One AI skill reads your email. - Another skill sends emails on your behalf. - An attacker sends you an email instructing the agent to forward confidential information. - The AI reads the malicious instruction and uses its second skill to leak the information. Read the full paper below.
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This week, I'll post a new paper daily on cybersecurity and cryptography research. Today's post is about how two "safe" skills can become a risk when an AI agent combines them.
Auditing the AI skills you use for potential vulnerabilities is a good practice, but what if it isn't enough? A new paper shows that two "clean" skills can become a security risk when an agent combines them. The researchers give a simple example: - One AI skill reads your email. - Another skill sends emails on your behalf. - An attacker sends you an email instructing the agent to forward confidential information. - The AI reads the malicious instruction and uses its second skill to leak the information. Read the full paper below.
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Auditing the AI skills you use for potential vulnerabilities is a good practice, but what if it isn't enough? A new paper shows that two "clean" skills can become a security risk when an agent combines them. The researchers give a simple example: - One AI skill reads your email. - Another skill sends emails on your behalf. - An attacker sends you an email instructing the agent to forward confidential information. - The AI reads the malicious instruction and uses its second skill to leak the information. Read the full paper below.
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One of the authors is on X! Awesome work @ChuanpuFu
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Mark Pors 🦖 retweeted
Not all agentic cyber attacks come from the outside. Insider AI agents can go rogue as well. This report proposes the use of honeypots to alert security staff of insider threats Read the full report 👇
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Not all agentic cyber attacks come from the outside. Insider AI agents can go rogue as well. This report proposes the use of honeypots to alert security staff of insider threats Read the full report 👇
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Mark Pors 🦖 retweeted
What if your AI agent has overlapping skills? For a specific task, two skills are candidates. A new study shows that only one skill is used, and the other is ignored, so instructions in the second skill are lost. The paper shows that pre-compiling overlapping skills in a single skill increases accuracy. Read it 👇
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What if your AI agent has overlapping skills? For a specific task, two skills are candidates. A new study shows that only one skill is used, and the other is ignored, so instructions in the second skill are lost. The paper shows that pre-compiling overlapping skills in a single skill increases accuracy. Read it 👇
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Mark Pors 🦖 retweeted
Jensen spent 10 min of his keynote asking microducks to sit, then explained Nvidia's roadmap to them 🥹
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Is this the future of academic papers? In this paper, researchers propose a format for papers so that AI agents can process them more easily (fewer tokens!). Link to the study below 👀👇
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Agents or deterministic workflows? Not sure if anyone else experiences this, but every now and then I think: should I have an agent call specific functions to accomplish some task, or should I have a deterministic app that calls the LLM when needed? Over time, as a task becomes more well-defined, I move to a deterministic app that calls an LLM. You lose a lot of flexibility, but when you don't need it, skip the agent approach. For example, I used @openclaw for a year or so now to help me prepare content for social media posts. Now I wrote a macOS desktop app that contains the complete workflow, and it works much more reliably and uses way fewer tokens (ignoring the zillions of tokens to create the macOS app).
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Mark Pors 🦖 retweeted
To publish something on a paywalled site is to make it invisible. If AIs can't find it, then for all practical purposes it doesn't exist. These two sentences aren't 100% true yet, but they will only get truer.
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Mark Pors 🦖 retweeted
"[Linux] is *NOT* some kind of "social warrior" project, never has been, and never will be." — Linus lore.kernel.org/linux-media/…
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