What a stunning article about why uv is 10-100x faster that the competition.
Koen Leijsten takes you through all the tricks—with a style that is calm and captivating at the same time—that the fine folks at Astral used to make uv stand out as the #python package manger everyone loves!
Meta just dropped Llama 4—on a weekend, can we ever catch a break? 😀—and there are two open weights models, Scout and Maverick.
Scout is particularly impressive with its 10M token context (!!!), first in the industry. Quite an engineering accomplishment from Meta.
The models are already available on Fireworks AI and we started to put them through their paces—getting some impressive, Gemini-2.5-territory, performance.
Next week, we’ll set them up in our own lab—we recently added a new machine with 150GB of NVIDIA cards so we can’t wait to see how it performs on them.
The models are a big deal for self-hosted, you’re-in-control models that are customers keep on asking.
So expect a write up to understand the cost, security, and fine-tuning implications these models have for your business!
I am honored to be a panelist at the Tech Summit Europe on Thursday, representing Xebia during the Unleashing AI: How to Compete in the AI Revolution panel.
I will be speaking about how #data and #AI separates successful companies from those that are falling behind, the biggest mistakes companies make when trying to adopt AI (hint: it’s about a lack of vision and building solutions in search of problems), and how #GenAI is being used to create a competitive advantage right now.
Security debt is the worst debt you can accumulate! And, when it comes to Data & AI, it means your Data is at risk, and so is your business.
Isaac Sacolick recently interviewed me and wrote about it—and six other types of debt—on CIO Online.
And, I’m proud of Xebia team’s relentless focus on creating guardrails for LLMs that ensure only the right data reaches the model, protecting our clients and their customers!
“Perhaps surprisingly, European banks have emerged as a hotbed of experimentation. Strict confidentiality rules limit how much the financial sector can rely on cloud-based ai services. That makes open-source models
hosted internally an attractive alternative. Natwest and HSBC, two British
lenders, are both experimenting with building their services on top of R1, as
is Spain’s BBVA, according to the Information, a news site.”