High-stakes ML is already delivering audited wins in aviation and fintech, and we’re only halfway through 2025. Grab the Safety at Scale H1 roundup for a quick regulatory low-down, see the sector wins, and discover the top conferences driving the conversation on safe AI this year

Wimbledon might be over, but the heat hasn’t let up, especially when it comes to machine learning (ML) validation in high-stakes applications. From aviation to finance, the demand for trustworthy ML systems is only growing. So, I’ve kicked off a new series exploring how

Remember my post from Tuesday? I said that testing ML is less geometry 💎 and more geology 🌋. The big question that arises is, if we can't just chase a higher performance score, what's the right way forward? The answer is engineering your test set. It's about deliberately

How do you start your Monday? Coffee? A to-do list? What about a baseline? We instinctively use Monday as a baseline to plan and measure our week. A productive week needs a clear starting point. Your machine learning systems are no different. Without a benchmark, every new

On Monday, we set our baseline, a clear starting point to measure our week's success. By Friday, we pause and reflect deeply: Did we truly achieve our goals or merely tick boxes? Did we overlook something critical that might resurface as a bigger problem next week? Formal

"Deploying Machine Learning Models" by BrainAboze on our Resilient AI blog - #AI #Validation #Operations resilient.safeintelligence.ai/p/deploying-ma…

WE ARE SUNDERLAND 😤 #SUNWHU

THE LORD DID IT NOW ! What God Cannot Do Does Not Exist !! #NSPPD #7amFirePrayers

what I've been working on...

Thrilled to be at AI Engineer (AIE) Paris 🇫🇷, the first AIE edition outside the US 🇺🇸, hosted at STATION F and organised with Koyeb. It was inspiring to hear the origin story from AI Engineer co-founder Benjamin Dunphy. His vision of creating a global movement, not just an

Vaibhav (VB) Srivastav Hugging Face Marco Perini Giulio Zani jesse kuipers Jurgen Langbroek Adding BrainAboze to the list of awesome people here 🤗 Met Brain in 2019 at PyCon Nigeria, and now he’s in London too working at Safe Intelligence!!!

Happy new month! 🚀 Last month, I had the opportunity to attend AI Engineer Paris 2025, the first edition outside the US, which was hosted at Station F. From the sessions I joined, one theme stood out clearly: the future of AI won’t be built on hype, but on trust. In my recap,

I just published "Building production-ready language detection with FastText + Hugging Face on Towards AI Tutorial Link: medium.com/towards-artifi… Coming: Part 2 on African languages and low-resource languages(Yoruba, Swahili, Hausa), and so on, where standard models fail.

We use formal verification to prove AI models are safe. But who verifies the verifiers? While benchmarking shows us how well a system performs 📊, verification provides mathematical guarantees about its behaviour 📝. But the tools we use for verification need their own rigorous

Success is not an accident 🟡🔵

For decades, aviation safety has been built on deterministic logic, give it input A and you always get B. But what happens when the software isn't "coded" but "learns"? Neural networks break that contract. They learn, adapt, and change with data, making them powerful but