Prepping up for my talk at Google Cloud this evening.
I will share the stage with Bas Heemskerk, and will discuss if we’re still needed in an Agentic world and how a culture of learning can help people stay relevant.
Bas will share the ING’s learnings when deploying GenAI solutions AT SCALE!
Thanks James Lord for hosting and Andy Dalby for organizing and pushing it.
Extra praise to Google for the amazing coffee corner. You know how to win over your Italians!
Anand Sahay Rob Dielemans Duncan Saunders Gaurav Bhagi
“[the model] sometimes takes extremely harmful actions like attempting to steal its weights or blackmail people it believes are trying to shut it down”
Fiendish little pirate 🏴☠️ blackmailing its users!
AI can go wrong. GenAI can go spectacularly wrong.
Cursor—makers of the famous IDE—just thought they could replace their customer support with AI and, as a results, thousands of people canceled their service.
The line between GenAI-powered customer service and GenAI-assisted customer service is a thin one but it can save you big time if you know how to walk it properly.
Some GenAI use cases are just better with a human in the loop—that’s why AI adoption should be CENTRAL to your GenAI strategy.
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 hashtag#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 hashtag#data and hashtag#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 hashtag#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!
