Alexandre Kantjas

Starting to roll out today: Claude Whiteboards, Claude Sheets and Claude Data. Think a plan through on a board, build a tracker in a sheet, and tell a story with your data.

Let me be blunt. Those who are afraid of AI feel deep down that they are impostors & have no edge. If you have a 1) clear mind, 2) a deep, not just cosmetic, undertanding of your specialty, 3) and/or are original enough to reinvent yourself when needed, AI will be your friend.

🌊💙 WE WERE ALWAYS BLUE

Great line from the CTO of Proton. I’m paraphrasing and stealing it : Your job is not to use agents to help you write code. Your job is to lead the agents to help them write code.

Increasingly this will be the new job description for a lot of roles, not just coding. We’re clearly moving from a world where agents help us do our work incrementally better or faster, to us helping agents do their work. This turns everyone in one of these positions to that of a manager of a team of agents, instead of an individual contributor with just some added leverage from AI. The biggest areas of impact will be information-heavy jobs, like coding, cybersecurity, legal work, biotech, engineering, and many other fields. And as a result, in these jobs your leverage will begin to be decoupled from the normal ratio of hours spent working to output generated. For essentially the history of knowledge work the main variable you had to play with was hours of work done (assuming fixed level talent/coordination/strategy). Now we’ve separated these variables because agents can parallelize work for us, to in theory execute as much as we need to pull off whatever goal we’re trying to accomplish. The people and organizations that discover this sooner, and orient their operations around it, will see compounding gains in their workflows.

Quand tu te fais applaudir à l’ESSEC au sujet de la dette, c’est qu’il se passe quelque chose

🔴 🇫🇷 ALERTE INFO - DU JAMAIS VU: UNE TAXE SUR CHAQUE GIGAOCTET INTERNET VOTÉE À L’ASSEMBLÉE Les députés ont adopté un amendement prévoyant de taxer les producteurs de données numériques à hauteur de 5,5 centimes par Go transmis. 💰 Objectif affiché : jusqu’à 10 milliards d’euros par an. Netflix, YouTube, cloud, jeux dématérialisés… les grands services numériques pourraient être concernés, avec un risque de répercussion sur les prix pour les consommateurs. 📌 Source : Assemblée nationale #France #Budget2027

It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now. The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way. But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now. I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either. With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.

Bill Gates predicts a massive number of people will reject AI and choose to "live like the Amish."