Watermarking AI
Classifiers stopped spotting AI output once models got good. Watermarks hide a keyed statistical bias in text, images and proteins instead. But marking output is only half the job: without shared keys, nobody else can detect it.
It's difficult to describe a person in 1 word. But describing Luc's programming skills in one is doable: generalistic.
Classifiers stopped spotting AI output once models got good. Watermarks hide a keyed statistical bias in text, images and proteins instead. But marking output is only half the job: without shared keys, nobody else can detect it.
Most agentic pipelines chase throughput by taking humans out of the loop. Better products come from small, isolated pipelines that raise quality at each human handover, from bug reports and refinement to pull requests and releases, whilst domain knowledge stays with people.
AI has a confidence problem. Human intelligence was shaped by an uncertain world, and uncertainty is exactly the ingredient AI is missing.
The race to AGI increasingly looks like brute-force scaling funded by a circular loop: chip makers invest in AI labs, AI labs buy their chips, valuations rise, repeat. Are we building intelligence or inflating a bubble?
Discover strategies to optimise developer onboarding, minimise costs, and improve time-to-market. Learn how to tackle challenges like code complexity, technical stack adaptation, knowledge transfer, and team integration while fostering a supportive and productive environment for new hires.
Do you have an employee handbook? Are senior people required to spend hours answering questions of colleagues? Here's how documentation can help.
Do you perform exit interviews when people leave the team? Here are some of the reasons to incorporate this feedback moment.
Do you deploy every day? Your team probably should. Here's why.