merqurio
Joined 12 years ago
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661
Submissions
257
Member since
Oct 31
Medical Doctor and Mathematician. computing & statistics geek
View on Hacker NewsRecent submissions
Comment · 1 month ago
Shouldn't Jev-like models be built on top of diffusion models ? like GSAI-ML/iLLaDA-8B-Instruct ?
That showed us the best results at least
Comment · 2 months ago
If LLM providers continue grow and become such a standard part of the tech stack of any deployment, this acquisition makes a lot of sense. It's just another payment management system for stripe.
It's fun to see someone being able to exit so well without owning any model.
Comment · 3 months ago
Happy user here !
Comment · 6 months ago
The lack of vertical integration in the modern stack is surprising. We’ve spent 30 years treating the UNIX paradigm as the "end of history," while burying ourselves in layers that add zero mechanical value.
I initially thought the containerization movement of the early 2010s would be the first step toward redefining the OS—a way to finally slim things down. Instead, it just became a more efficient way to pack up the same baggage. We created a "reduction" in deployment complexity, but we haven't seen a continued effort to use those tools to actually change the paradigm.
I expected vertically integrated systems to become the norm by now—where building an executable would be an experience similar to containerization, but resulting in a lean, data-centric unikernel.
Instead, we are burning CAPEX on YAML sidecars in K8s clusters and N-tier abstractions that exist solely due to the large heterogeneity of the deployments that they never should have entered in the first place. We are spending more energy on the friction between layers than on the actual business of computation.
I was hoping for a return to sanity with the DBOS [1] research, looked like an attempt to rethink systems from first principles. But it seems that effort hasn't fully kicked off in the way the industry desperately needs.
Comment · 6 months ago
Hi HN, author here.
After my old homelab laptop died, I decided to over-engineer its replacement.
A question for the homelabbers and infra folks here: Do you actually find value in people open-sourcing their personal infrastructure repositories?
All of my configurations are currently in a private repo because they feel too customized to my specific environment (domain names, specific storage tags, etc.) to be useful to anyone else. Have you ever genuinely learned from or reused someone else's opinionated personal configs?
Happy to open mine up if people find that kind of reference material helpful.
Also happy to answer any questions about the Turing Pi hardware or the Talos experience!
Comment · 9 months ago
Hi HN, the author here
I wrote this post after giving a talk on AI to a non-technical audience. I found that the analogy of baking a cake without a recipe was a powerful way to build intuition for how ML models are trained and, more importantly, the common ways they can fail.
I hope this is a useful mental model, whether you're an expert trying to explain your work or a newcomer to the field.
I'm here to answer any questions.
I'm also curious: what are your favorite analogies for explaining complex technical topics?
Comment · 9 months ago
Nice work ! Thanks for shating
It reminds me of https://leptos.dev/ in Rust, although the implementation might be very different
Comment · 9 months ago
If you want to understand the implementation, the DeepWiki documentation is very helpful:
Comment · 11 months ago
The news feels bittersweet. With 10+ of experience in healthcare AI, I have seen enough shitty products to genuinely welcome strict regulation for critical sectors; however, this shift threatens to dilute the sense of urgency that was growing in the sector.
We recently built a platform specifically to navigate the complex intersection of MDR (Medical Device Regulation) and the AI Act, relying on the pressure of hard deadlines. By introducing flexible timelines linked to technical standards, the EU risks signaling that compliance is a secondary concern, potentially stalling the momentum... and at this point patient safety is my biggest concern, not our platform
This introduces chaos rather than relief. Companies do not need lower standards; they need clarity.
We can compete effectively against high standards as long as the rules are clear. EU AI Act was clear. This proposal substitutes the certainty of a high bar with the confusion of a sliding scale, which may hinder the industry more than it helps :/