I teach AI and automation
Berlin, Germany
Joined August 2011
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Works outside engineering too.
The finance and marketing teams we train hit the same wall. They treat the agent like a search box, not a junior teammate who needs a brief.
nitter.cf/unclebobmartin/status/…
We're seeing this in workshops already.
The skill that matters isn't prompting anymore. It's managing: break the job down, hand it off, check the work.
Most of these people have never managed anyone.
nitter.cf/levie/status/211713491…
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.
France on track to invent a tax on data.
This country and its downfall will be studied in the decades to come
🔴 🇫🇷 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
We see this gap inside the same company.
Same license, same model. One person automates half their week. The desk next to them uses it to rewrite emails.
The difference is practice, not access.
nitter.cf/levie/status/211602991…
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.
AI audits are getting harder to sell. Training isn't.
Sit with a team for 2 hours and they hand you everything an audit would.
Enablement is the audit and you're getting paid for it.
Most "AI agents" you see on X are automations in disguise.
Quick test, 3 questions:
1. Does it decide its own next step?
2. Does it call an LLM at every step?
3. Can it handle input it's never seen?
No to any = not an agent.
Alexandre Kantjas retweeted
🗣️🇫🇷 L’ancien champion du monde français de football Emmanuel Petit prend la parole suite aux émeutes que traverse notre pays et envoie du lourd.
Tout le monde est vraiment en train de se réveiller. 🫵🏻
Alexandre Kantjas retweeted
J’ai entendu dire que la France était finie, qu’il était trop tard pour la sauver.
Mais la France est toujours aussi belle, enviable même. Sa grandeur n’a pas disparu, elle ne demande qu’à renaître.
Nous avons surmonté en un an un problème cent fois plus grave, sans avoir les moyens dont dispose la France.
La France pourrait y arriver en une semaine.
Alexandre Kantjas retweeted
Je suis économiste au CNRS, et voici mon analyse du programme de LFI, que j'ai trouvé ici : melenchon2027.fr/wp-content/…
🧵⬇️
(Au fait, je ne me catégorise pas comme hétérodoxe, ni comme orthodoxe d'ailleurs, je ne vois pas l'intérêt d'ériger une barrière entre les économistes.)
Alexandre Kantjas retweeted
Elon Musk derangement syndrome is a sign of low-IQ and incredibly third-world coded.
The first day humanity sees a flying car and looks like there is a debate as to whether this is cool or not.
Some people are brain dead at this point.
