Search Results for: sti

While one of my previous weekly picks showed that there is currently no mathematical proof for the reliability of today’s cryptographic algorithms, this article shows a way out: if a quantum computer is used as a basis to build a cryptographic algorithm, the foundation can be shown to protect against attacks to the system. While (…)

This article is fascinating because it exposes how indirect prompt injection attacks against LLM assistants like Google Gemini are not just theoretical—they have real-world implications, enabling hackers to hijack smart homes through poisoned data. This highlights a fundamental security flaw: current LLMs cannot reliably distinguish trusted commands from untrusted, external data.

I find this article interesting because it highlights the tension between digital sovereignty and the expansion of global technology. With 75% market penetration compared to the single-digit presence of US alternatives, Pix demonstrates how public digital goods can effectively challenge the dominance of Big Tech. This case raises the question of whether payment systems constitute (…)

This article talks about deepening digital estrangement, digital intrusion, and digital distraction from the perspective of a teacher who has seen the harm that overreliance on AI has caused to her students’ educational attainment. Hers is another testimony to the need for the definition of responsible and trustworthy AI to include when it should be (…)

This is a nice reminder of the state of the foundation upon which our public key infrastructure stands. Depending on the angle you’re looking at, it is either stable or shaky. The incident in question was a certificate authority that emitted a rogue certificate for “test purposes.” What ensued and how Cloudflare responded shows how (…)

After many thought that LLMs and image-generators will remove jobs from writers and image artists, the pendulum swings back: clients realize that these tools only get you halfway to a useful result. So they turn to the ones they wanted to replace, and ask them to fix the half-baken results. I find i interesting how (…)

While it was to be expected that Anthropic will also use the users’ chats for training, I think the way they’re approaching this is not too bad. Perhaps the pop-up is not clear enough, but at least past chats will not get in the LLM training grinder. One of the big question will be of (…)

I found this article interesting because, rather than perpetuating fear-driven narratives, it provides a thorough analysis backed by demographic realities in the Western world. Labour shortages, it suggests, make it unlikely that AI will ‘take all our jobs’. It emphasises how AI can increase access to specialist roles for a wider range of workers. The (…)

From a cryptographer’s point of view, the big breakthrough in quantum computing would be if it can successfully factorize numbers in the 1000-digit range. As it turns out, this is actually quite difficult. The record from 2012 of factorizing the number 21 is still unbeaten! And all reports of factorizing bigger numbers used very, very (…)

As a software engineer, I’m looking at LLMs both as a tool for, but potentially also a danger to, my job: will it replace me one day? In this study, they measured the time that seasoned software needed to fix a bug, both with and without the aid of LLMs. The outcome in this specific (…)

This article highlights significant flaws within the proposed NO FAKES Act, whose repercussions would extend far beyond U.S. borders. I found it particularly insightful because of the parallels it draws between this bill and existing mechanisms for addressing copyright infringement, outlining how the deficiencies within the latter are likely to be mirrored in the former.