Chaine youtube qui parle du fonctionnement des algorithmes en programmation, et des technologies sous-jacentes.
What follows is a version of an email I sent our entire R&D team about an explicit goal and deliberate action we’ll take to become twice as productive through our embrace of AI.
Darragh Curran
Jun 13, 2025
Both sides are grappling with a real existential threat, and both sides feel like they are screaming into the void. There is a way to close the gap and get everyone pulling in the same direction.
La semaine dernière, j'ai écrit « Delete your backlog. » L'article a été bien reçu et beaucoup tourné, et une question est revenue plus souvent en MP presque toujours formulée de la même manière : « Oui, mais avec l'IA, alors ? »
Et c'est une vraie question. Parce qu'au moment exact où je plaidais pour supprimer, purger, faire de l'espace, une bonne partie des équipes Produit découvraient l'inverse : qu'il était devenu trivial de produire. De générer des epics, des features, des user stories, des critères d'acceptation, des variantes, en quelques secondes, presque gratuitement*.
Install and configure your own second brain: a private, personal, and robust assistant inside Claude that forgets nothing, helps you connect the dots, and makes you far more effective on your day-to-day tasks (semantic search via RAG included).
Ten takeaways from the Acceleration Whiplash report
Two years of telemetry. 22,000 developers. More than 4,000 teams.
The AI Engineering Report 2026 is not a survey of how developers feel about AI. It is a measurement of what AI is actually producing across the full software development lifecycle, tracking metric change between periods of lowest and highest AI adoption within each organization.
What it found has a name: the Acceleration Whiplash. AI has flooded a system built around human-paced development and human-quality code with output it was never designed to absorb.
Throughput is up. So are bugs, incidents, and the hidden costs accumulating at every stage downstream.
This report examines seven areas where that tension is visible: adoption, throughput, context switching, code complexity, pre-merge quality, workflow efficiency, and production quality. Here are ten takeaways from the data.
En 2013, Edward Snowden révélait la surveillance de masse. Aujourd'hui, il prévient : l'IA est en train d'en activer la version finale.
Appels analysés en temps réel dès le premier mot, Palantir qui traque les « gens étranges », caméras qui transcrivent tout ce que vous dites dans la rue… La vie privée est-elle déjà morte ?
Mais l'ex-analyste NSA va plus loin : au-delà de l'État, il décrit la tyrannie de la médiocrité — cette force invisible qui, à coups d'algorithmes, lisse peu à peu notre créativité et notre manière de penser.
Que nous reste-t-il pour rester libres dans un monde qui veut tout quantifier ?
Original : https://www.youtube.com/watch?v=VCfTLQo5QZ0
2026-06-03
Je rassemble ici en trois paragraphes et neuf liens tout ce que j’ai écrit sur l’IA générative (IAG) dans la partie Blog de mon site depuis deux ans. Ceci donne un bon aperçu de ma position concernant l’IAG à la date de publication de ce billet. Je mets également ce texte dans ma page sur l’IA dans la partie Cours du site, et c’est là-bas que je ferai des mises à jour si besoin.
"Tokenmaxxing" is the latest corporate trend taking over the tech world, but is it actually measuring developer productivity—or is it just burning a monumental hole in company finances?
In this episode of Internet of Bugs, Carl breaks down the origins of tokenmaxxing, from Jensen Huang’s podcast comments to prestigious VC letters pushing AI-driven developer metrics. We explore the terrible history of trying to measure programmer productivity (like counting lines of code), how Goodhart's law ruins these systems, and why massive tech companies might actually be incentivizing this slop just to train their own internal AI models.
Furthermore, we look at the financial reality of the AI bubble, upcoming tech IPOs, and why shipping dead code or hiding bugs behind feature flags can cause catastrophic real-world losses (like the 2012 Knight Capital Group meltdown).
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👉 / internetofbugs
- 00:00 What is "Tokenmaxxing"?
- 00:55 Where the Trend Started (Nvidia & VCs)
- 02:03 The Nightmare of Corporate Token Leaderboards
- 02:24 How Do We Actually Measure Good Code?
- 03:52 Lines of Code, Story Points, and Failed Metrics
- 05:01 Goodhart's Law & Gaming the System
- 05:39 Why Big Tech Wants You Burning Tokens
- 06:49 The Superstitions of Software Engineering (LeetCode & Agile)
- 07:55 The Danger of Dead Code & The $440M Bug
- 09:17 The Real Solution
- 10:47 The AI Bubble's "Groundhog Day" IPO Forecast
#Tokenmaxxing #SoftwareEngineering #AIBubble #DeveloperProductivity #TechTrends #Programming #TechIndustry #InternetOfBugs
// Sources
// Origins
https://the-decoder.com/nvidia-ceo-je...
https://www.nytimes.com/2026/03/20/te...
https://a16z.com/there-are-only-two-p...
https://finance.yahoo.com/news/a16z-u...
https://www.notboring.co/p/a16z-the-p...
https://en.wikipedia.org/wiki/Andrees...
// What companies are doing
/ metas_internal_leaderboard_ranks_employees...
https://fortune.com/2026/04/09/meta-k...
https://www.bbc.com/news/articles/cvg...
https://www.firstround.com/ai/shopify
https://gaiinsights.com/blog/the-ceo-...
https://help.shopify.com/en/manual/sh...
https://www.forrester.com/blogs/what-...
https://www.businessinsider.com/amazo...
https://aws.amazon.com/blogs/machine-...
https://aws.amazon.com/blogs/machine-...
// Programming History Mentioned
https://maseconomics.com/goodharts-la...
https://dl.acm.org/doi/10.1145/362929...
https://junit.org/
https://www.henricodolfing.ch/en/case...
https://blog.statsig.com/how-to-lose-...
// AI limitations
https://epoch.ai/blog/will-we-run-out...
// Tokenmaxxing backlash
https://www.tomshardware.com/tech-ind...
https://news.ycombinator.com/item?id=...
https://www.businessinsider.com/uber-...
// Financial irregularities (just the most recent tip of the massive iceberg)
https://www.wheresyoured.at/anthropic...
https://www.thestreet.com/latest-news...
https://www.datacenterdynamics.com/en...
https://techcrunch.com/2026/05/20/ant...
Be sure to use AI when making
your next, I don’t know, meal plan,
for example. Definitely do not call
your friend who loves to cook and ask her
for her favorite recipes or tips or ways
to save time making meals,
because you will end
up talking for longer than you had hoped,
hearing, perhaps, about her father’s cancer
diagnosis or how lonely she’s been or even
what she’s planted in her spring
garden and then lost with the early frost.
...
images of ai
to help understand bette
CC
