Hacker News: LucasLanglois

New comment by LucasLanglois in "U.S. Army Corps of Engineers Bay Model"

LucasLanglois — Thu, 04 Jun 2026 12:01:31 +0000

If you don't know Tom Scott, he has done a great video 4mn vide on the model where you can see it in action: https://www.youtube.com/watch?v=i70wkxmumAw

After McKinsey, it's BCG's turn to be hacked

LucasLanglois — Tue, 31 Mar 2026 14:59:34 +0000

Article URL: https://codewall.ai/blog/how-we-hacked-bcgs-data-warehouse-3-17-trillion-rows-zero-authentication

Comments URL: https://news.ycombinator.com/item?id=47588309

Points: 4

# Comments: 0

New comment by LucasLanglois in "Cloudflare was down"

LucasLanglois — Fri, 05 Dec 2025 09:45:01 +0000

Love that Cloudflare put together a participative and community-driven advent calendar!

SOTA of ML Reasoning with Zach Gleicher: Gemini Flash and Nano Lead

LucasLanglois — Tue, 15 Oct 2024 15:54:42 +0000

Article URL: https://www.binarystars.org/

Comments URL: https://news.ycombinator.com/item?id=41849862

Points: 2

# Comments: 0

New comment by LucasLanglois in "How Do I Learn?"

LucasLanglois — Fri, 15 Dec 2023 14:54:44 +0000

Ask 3-5 domain experts to share their experience on that.

If a book comes up multiple time start with it and then iterate on that knowledge.

You can also look for a university syllabus about the topic to get an overview.

Have we made contact with ET life as of 2023?

LucasLanglois — Wed, 20 Sep 2023 14:46:38 +0000

Article URL: https://pol.is/9z3asiafpm

Comments URL: https://news.ycombinator.com/item?id=37584859

Points: 1

# Comments: 1

New comment by LucasLanglois in "The Relativity of Wrong (1989)"

LucasLanglois — Tue, 12 Sep 2023 15:56:08 +0000

Interestingly, this highlights that despite popular belief, the scientific process is not about being right or wrong but rather what's powerful.

A theory is promoted because it is powerful in explaining observations and providing tools for humanity until it is improved by the next one. You can build a gun with gravitation but you need relativity for a rocket.

New comment by LucasLanglois in "Wikipedia is much deeper and nuanced than imagined"

LucasLanglois — Wed, 06 Sep 2023 14:23:56 +0000

Wikimedia net assets grew by $50M in 2021. Check the article to get more information.

New comment by LucasLanglois in "Wikipedia is much deeper and nuanced than imagined"

LucasLanglois — Wed, 06 Sep 2023 14:22:33 +0000

The point of the piece is to highlight the discrepancy between the tone of Wikipedia's fundraising and mission and the reality of their system and financial situation.

Wikipedia is much deeper and nuanced than imagined

LucasLanglois — Wed, 06 Sep 2023 13:51:54 +0000

Article URL: https://pallasblog.substack.com/p/wikipedia-isnt-what-you-think-it

Comments URL: https://news.ycombinator.com/item?id=37405139

Points: 49

# Comments: 30

New comment by LucasLanglois in "Show HN: I built a technology to think of truth in a new way"

LucasLanglois — Tue, 18 Jul 2023 21:11:24 +0000

We learned a lot by looking at communities successfully producing knowledge. The scientific community is one example, Wikipedia is another one. We have looked at them carefully and it’s become clear to us that they build knowledge in a very different way than media, politics and people do it in their personal life, on social media and even on the Internet in general.

It has led us to ask ourselves: what if thinking of the truth couldn't be done in the same way as it used to, and instead requires a new framework?

Pallas is a technology to think of facts, truth and knowledge in a completely new way.

Show HN: I built a technology to think of truth in a new way

LucasLanglois — Tue, 18 Jul 2023 21:09:40 +0000

Article URL: https://www.getpallas.io

Comments URL: https://news.ycombinator.com/item?id=36779137

Points: 2

# Comments: 4

Show HN: Pallas – The Future of Truth

LucasLanglois — Wed, 05 Jul 2023 17:24:21 +0000

Article URL: https://www.getpallas.io

Comments URL: https://news.ycombinator.com/item?id=36603689

Points: 1

# Comments: 0

Creating the new open-source standard to deploy ML models

LucasLanglois — Thu, 03 Mar 2022 16:24:04 +0000

Hi HN,

We've just released the first open-source version of our model serving tool Inferrd. Our goal is making model deployment a breeze with:

•Maintenance-free environments. Just drag and drop your models, and get an API.

•Your data staying in your cloud. Have full control over where you send your data, and how it's processed.

•No more security compliance process to go through as Inferrd is self-hosted.

•No more pricing indexed on volume, as cloud-based solutions offer.

You can host Inferrd on your own cloud at github.com/inferrd or check out our managed version at Inferrd.com

This is the first version supporting SciKit, TensorFlow and ONNX. We're super eager for feedback to improve it and start serving more framework with more advanced features !

Comments URL: https://news.ycombinator.com/item?id=30542995

Points: 2

# Comments: 0

New comment by LucasLanglois in "Show HN: Inferrd – Heroku for Machine Learning"

LucasLanglois — Wed, 15 Sep 2021 15:44:34 +0000

That's one part of the answer.

The other is that you can use Inferrd from your notebook and have it running in 1mn.

New comment by LucasLanglois in "Show HN: Inferrd – Heroku for Machine Learning"

LucasLanglois — Tue, 14 Sep 2021 17:59:18 +0000

Hey, Lucas here. I’m excited to share Inferrd along with my co-founder Theo. It’s a product we started working on after dealing with our fair share of deploying models on GPU in traditional clouds (GCP, AWS, Azure) for consulting contracts.

Hosting AI is challenging because it requires GPUs and most of the time, data scientists are left to design and build the infrastructure. Configuring Nvidia and Cuda is another issue that can consume days or weeks (add a few more weeks for TensorRT).

That’s why we built Inferrd, it’s a Heroku-style GPU hosting platform specifically designed for AI models. All the libraries are pre-configured, no cold start and out-of-the-box support for most major frameworks (spaCy, TensorFlow, PyTorch, Keras, Scikit, XGBoost). In addition, we leverage GPU sharing to provide very competitive pricing. Lastly, we provide key authentication, smooth scaling and monitoring tools.

AI hosting is a very interesting new space, and we’ll be around to answer any questions!

Show HN: Inferrd – Heroku for Machine Learning

LucasLanglois — Tue, 14 Sep 2021 17:58:59 +0000

Article URL: https://inferrd.com?source=hn3

Comments URL: https://news.ycombinator.com/item?id=28528353

Points: 3

# Comments: 4