schristoph.online

Hackathon Gamification: A Real-Time Leaderboard You Can Deploy in 5 Minutes

Thu, 07 May 2026 00:00:00 +0000

Lisbon, 6 AM, Rising Sun

Lisbon at dawn — the best way to start a hackathon day

Three days in Lisbon. Not for sightseeing, though the city makes that hard to resist. I’m here for an AI hackathon — teams building an AI-driven radio station from scratch. The kind of challenge where you start with nothing and ship something that plays audio by the end.

🚀 Caught up on AWS’s open-sourcing of API models in Smithy format (slipped my radar earlier this yea

Thu, 05 Feb 2026 00:00:00 +0000

🚀 Caught up on AWS’s open-sourcing of API models in Smithy format (slipped my radar earlier this year, but timeless value!). There is a GitHub Repository [4] available with AWS API smithy models for 200+ services. Announcement Blog: [1]

A Smithy model is the core semantic representation in Smithy, an open-source interface definition language (IDL) developed by AWS for defining APIs, services, and data structures in a protocol-agnostic way.

It consists of shapes (like primitives, lists, maps, structures, and services), traits for metadata, and shape IDs for referencing components, enabling code generation for SDKs, documentation, and validation across languages. Models are serialized in formats like Smithy IDL or JSON and include a prelude with built-in types.

When a 'Model' Isn't Just a Model: Redefining AI Systems for the Builder's Era

Wed, 07 Jan 2026 00:00:00 +0000

When a ‘Model’ Isn’t Just a Model: Redefining AI Systems for the Builder’s Era

🎬 Great keynote by Jensen Huang at CES 2026 [1]! Great content and also love the ease of his presentation style. Miguel: We are not the only ones presenting in front of a black screen once in a while ;)

🔓 I agree with Jensen, it’s super exciting to see more and 𝗺𝗼𝗿𝗲 𝗼𝗽𝗲𝗻-𝗶𝘀𝗵 𝗳𝗿𝗼𝗻𝘁𝗶𝗲𝗿 𝗺𝗼𝗱𝗲𝗹𝘀 𝗯𝗲𝗶𝗻𝗴 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 by different providers. Sounds like NVIDIA is taking a big stake in this. Really key for me is that providers not “just” release open-weight models but also the data they trained on and the process used to train them. Jensen mentions the obvious responsible AI argument which is super important. This is the only way 3rd parties can verify the models and understand things like bias being introduced by the training data, copyright infringements, and alike. From my perspective, equally important: 𝗢𝗽𝗲𝗻 𝗶𝘀 𝗼𝗻𝗹𝘆 𝘁𝗿𝘂𝗹𝘆 𝗼𝗽𝗲𝗻 𝘁𝗼 𝗺𝗲 𝗶𝗳 𝗜 𝗰𝗮𝗻 𝗯𝘂𝗶𝗹𝗱 𝗶𝘁, 𝗺𝗼𝗱𝗶𝗳𝘆 𝗶𝘁 𝘁𝗼 𝗺𝗮𝗸𝗲 𝗺𝘆 𝗼𝘄𝗻 𝘃𝗮𝗿𝗶𝗮𝗻𝘁, 𝗮𝗻𝗱 𝗜’𝗺 𝗮𝗹𝗹𝗼𝘄𝗲𝗱 𝘁𝗼 𝗱𝗼 𝘀𝗼.

WOW! Yesterday OpenAI released two open-weight models: gpt-oss-120b and gpt-oss-

Wed, 06 Aug 2025 00:00:00 +0000

WOW! Yesterday OpenAI released two open-weight models: gpt-oss-120b and gpt-oss-20b. Roughly 120 and 20 Billion parameters in size and bother featuring reasoning capabilities.

The models utilise quantisation and MoE(mixture of expert) architecture which allows them to fit into 80GB and 16GB GPU respectively, which enables them to be run with comparable low resources. Performance benchmarks read impressive too, so I can’t wait to get some time to experiment with them.

+1 on this. I really like the visualisation. I would love a 4th column which summarises the implica

Fri, 30 May 2025 00:00:00 +0000

+1 on this. I really like the visualisation. I would love a 4th column which summarises the implication. Reproducibility: Given by Open Source but not with open weight.

Like with a closed source library you can build on top of an open-weight model, but you are not able to understand the implementation or alter it. This is a fundamental difference.

📢 If you are on the hunt for an image 𝗔𝗡𝗗 𝗩𝗜𝗗𝗘𝗢 segmentation model, which is open and you can deploy

Wed, 31 Jul 2024 00:00:00 +0000

📢 If you are on the hunt for an image 𝗔𝗡𝗗 𝗩𝗜𝗗𝗘𝗢 segmentation model, which is open and you can deploy on your own, have a look at the just released 𝗦𝗲𝗴𝗺𝗲𝗻𝘁 𝗔𝗻𝘆𝘁𝗵𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹 𝟮 (𝗦𝗔𝗠 𝟮). The model capabilities can be nicely experienced in Meta’s Demo). Read more about the announcement at their announcement page.

👷‍♀️If you are looking into deploying the model to build your own application on AWS, 𝗔𝗺𝗮𝘇𝗼𝗻 𝗦𝗮𝗴𝗲𝗠𝗮𝗸𝗲𝗿 is a very good alternative for you. Quoting from Meta’s announcement website:

The ones who joined Philipp and me in our session at the #AWSSUMMIT in Berlin last week already got

Fri, 24 May 2024 00:00:00 +0000

The ones who joined Philipp and me in our session at the #AWSSUMMIT in Berlin last week already got a preview of the blog post as we run it as a demo. Nice that it is now published and you all can get hands on it. Kudos!

AWS Inferentia2 is a great way to optimize the inference part of your (gen)AI workloads on AWS and the blog post helps you to dive straight into deploying a LLM (in this case Meta’s Llama 3) model. But it is not “just” Llama 3. From Hugging Face recent blog post: “Enabling over 100,000 models on AWS Inferentia2 with Amazon SageMaker” - https://lnkd.in/ePYb6TFs. So there is a good chance that you can benefit from AWS Inferentia 2 today :)

Very interesting read. Good to see politicians with a clear view and good insight of upcoming, disru

Mon, 09 Apr 2018 00:00:00 +0000

Very interesting read. Good to see politicians with a clear view and good insight of upcoming, disrupting technologies which will change our world - to the better. Disagree about the non-full-automated transportation. I see this happen. Open source is becoming even more key - I agree here …