Joffrey

By popular request, you can now text your dot. Give it a task to take off your plate or something to keep an eye on, using text, photos, or even voice notes. It will text you proactively with relevant updates. Safe, secure texting via iMessage or RCS. You’re the only one who can text your dot, and your dot can only text you. Rolling out now as a preview for Pro users in the US.

Il a tout résumé.

🇫🇷📖 FOCUS | La France bat tous les RECORDS EN MATIÈRE D’INFLATION NORMATIVE avec près de 100 000 articles de loi, 268 000 textes réglementaires. Mis bout à bout, les textes législatifs et réglementaires en vigueur représentent plus de 51 millions de mots, un record historique qui illustre l’ampleur de l’accumulation des normes en France. Selon les chiffres du secrétariat général du gouvernement, le nombre de normes en vigueur n’a jamais été aussi élevé. En seulement 20 ans, le nombre d’articles de loi a AUGMENTÉ de plus de 65 % et celui des textes réglementaires de plus de 50 %. En 2025, 33 815 textes ont été publiés au Journal officiel et 62 lois ont été promulguées, contre 39 l’année précédente. Le droit français s’est enrichi de plus d’un million de mots en un an. Malgré les promesses successives de simplification des gouvernements, aucune année depuis deux décennies n’a enregistré de baisse, ni même de stagnation du nombre de normes en vigueur. La circulaire imposant de supprimer ou simplifier deux normes pour chaque nouvelle norme réglementaire reste largement inappliquée. Une accumulation de lois, décrets et règlements qui ne fait que complexifier les démarches administratives et pèse notamment sur les entreprises, les agriculteurs et les collectivités locales. (🗞️📕Articles et livre de Christophe Eoche-Duval, L’inflation normative, Plon, 2024)

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.