merqurio

3 ms·

1.
by merqurio 6d 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
2.
by merqurio 1mo 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
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by merqurio 3mo ago
Happy user here !
4.
Digital Donkeys: An Allegory for the Algorithmic Feed(om.co)
2 points by merqurio 3mo ago|0 comments
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Interaction models by Thinking Machines Lab [video](youtube.com)
2 points by merqurio 5mo ago|0 comments
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by merqurio 5mo 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
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Six death sentences in 35 years, and consulting keeps walking out(albertcmikkelsen.substack.com)
2 points by merqurio 5mo ago|0 comments
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My Journey to a Datacenter in a Box(merqur.io)
3 points by merqurio 6mo ago|1 comments
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by merqurio 6mo 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 reposito
10.
An analogy for Machine Learning: It's like baking a cake without a recipe(merqur.io)
2 points by merqurio 8mo ago|1 comments
11.
by merqurio 8mo 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 importa
12.
by merqurio 8mo ago
Nice work ! Thanks for shating It reminds me of https://leptos.dev/ in Rust, although the implementation might be very different
13.
by merqurio 9mo ago
If you want to understand the implementation, the DeepWiki documentation is very helpful: https://deepwiki.com/drhsqlite/fossil-mirror/
14.
by merqurio 10mo 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 growi
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Visit an Amazon Fulfillment Center(amazontours.com)
3 points by merqurio 11mo ago|0 comments
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Are transformer all we need?(merqur.io)
2 points by merqurio 11mo ago|0 comments
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Orange: No-code data mining, visualization and machine learning toolbox(github.com)
3 points by merqurio 11mo ago|0 comments
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Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab Repos(github.com)
2 points by merqurio 1y ago|0 comments
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Our 2022 Pivot, aligning Hospitals and Researchers(merqur.io)
2 points by merqurio 1y ago|0 comments
20.
by merqurio 1y ago
i've been trying to understand what was making the CI fail for about 3h, until i realised it was this thanks to this post. thanks. this sucks.
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Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab Repos(github.com)
2 points by merqurio 1y ago|0 comments
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Multigres: Horizontally scalable Postgres with multi-tenant, HA capabilities(multigres.com)
3 points by merqurio 1y ago|0 comments
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Temporal Tables in Postgres(github.com)
3 points by merqurio 1y ago|0 comments
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Lit: a library for building fast, lightweight web components(lit.dev)
280 points by merqurio 1y ago|177 comments
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Postgres Engines; a Look at OrioleDB and Neon Divergences(orioledb.com)
6 points by merqurio 1y ago|0 comments
26.
by merqurio 2y ago
Macron’s focus should be on making sure that France’s existing AI successes like Mistral, Owkin, and Bioptimus have the right business environment for scaling and internationalizing, closing big initiatives with big corps/institutions
27.
by merqurio 2y ago
FondationDB is such an incredible resource, but it’s so hard to access for the general public. It’s no wonder so few people know about it. I’ve always thought that if there were easier ways to interact with it, or some dev-friendly layers b
28.
by merqurio 2y ago
All my kudos for the OrioleDB team, they have been working for years with the Postgres core devs to get the extensibility patches they need for their storage extensions merged back. It’s not just about building their extension but actually
29.
by merqurio 3y ago
i'm using a personal project , so far, it's been great. The code is easy to follow and the author AFAIK, he was working on an employer (Fly.io) that is giving him time and resources for litestream. I would adventure to use it in a
30.
Event-driven architecture best practices for databases and files(tinybird.co)
4 points by merqurio 3y ago|0 comments

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