bunker universitaire anticommuniste qu'est devenue la France
Replying to @marinetondelier
Il n'y a plus aucun historien sérieux qui emploie la notion fumeuse de "totalitarisme", en dehors du bunker universitaire anticommuniste qu'est devenue la France. Et Mao est effectivement critiquable mais c'est lui qui a redressé la Chine face à l'impérialisme occidental.
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
I've been pointing out since the early 2010s that Thomas Piketty, Emmanuel Saez, and Gabriel Zucman have a bad habit of biasing their data construction to fit their politics.
Whenever they make a suspect call in how to handle stats, it ends up showing that inequality is on the rise. They almost never go in the other direction. The errors are non-random and almost invariably reinforce their political claims about rising income and wealth concentration since 1980.
Piketty did this throughout his book Capital in the 21st Century.
Piketty and Saez did this throughout their famous 2003 paper on inequality in the US.
Piketty, Saez, and Zucman Saez and Zucman did this in their Distributional National Accounts paper that Auten and Splinter dissected.
Saez and Zucman did this in their 2019 book on tax incidence and inequality.
Saez and Zucman did this in their flurry of "studies" and white papers to support Elizabeth Warren's wealth tax proposal, California Prop 40, a new wealth tax in France, and dozens of other similar examples.
A new AI report (linked below) audited 138 papers by Saez and Zucman. It found thousands of errors, 194 of which were serious. A whopping 97% of the serious errors went in the same direction: they showed inequality rising faster or made it higher.
But there's a bigger scandal at play here. Despite these clear biases, Piketty, Saez, and Zucman have enjoyed a stream of praise and prestige within the economics profession. They get expedited and friendly reviews in top econ journals even though a more serious peer review should have caught many of these errors (the Quarterly Journal of Economics is a recurring offender in this regard). Journals regularly give them a pass after the errors in their old work come to light - they're never expected to correct any of it, and just keep on using it as if nothing changed. Their non-peer reviewed data claims are also treated as gospel by major media outlets such as the New York Times and the Washington Post. And they get showered with prizes - Saez and Zucman are both Clark Medal winners from the AEA, and Zucman got his prize in 2023 after evidence of major data shenanigans in his work came to light in 2019.
Until now, those of us who have been trying to correct the record have had to wade through the PSZ trio's cluttered, disorganized, and often non-transparent replication packages (almost all of which are convoluted piles of Excel spreadsheets) to find the problems. I did a line-by-line replication of Piketty and Saez's entire 2003 US income inequality series to use one example, and found it was riddled with errors - almost every single one of which biased their results in favor of their political story.
We had the means to catch this stuff as it was happening, but the economics profession failed to do its job. And it failed precisely because its elite ranks wanted to believe the Piketty-Saez-Zucman story for political reasons.
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
just heard someone say "people are more important than the economy" and it occurred to me that some people genuinely believe that others care about the economy because they like numbers going up and not because it drives living standards for the population
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
Je fatigue. C'est quoi ce socdemslop encore...
Il faut sortir du capitalisme financiarisé tel qu'il s'est imposé depuis les années 70.
Je défends l'élargissement de la notion de rentabilité : à la rentabilité économique, qui est centrale, mais aussi aux conséquences sur l'indépendance de notre économie, à la création d'emplois en France et en Europe, à la réduction de nos émissions de gaz à effet de serre et au respect de nos normes sociales.
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
HONTEUX.
Le 17 octobre, les casseurs ont détruit, pillé, saccagé.
Et LFI dépose un amendement : 125 MILLIONS d'euros pour réparer. Payés par VOUS.
Aucune responsabilité des casseurs.
Aucune responsabilité des pilleurs.
Aucune responsabilité individuelle.
Ils cassent. Vous payez. LFI les excuse.
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
The real 1-person billion-dollar company.
A solo smart, high-agency CEO + AI can have an outsized impact on the world.
Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own.
In doing so, we’ve learned much more about how Claude can support the many stages of drug development.
In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences.
anthropic.com/research/early…
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
Replying to @DembskiT
En vertu de la loi Badinter de 1985, un propriétaire de voiture a déjà été condamné car un kitesurfeur s'est écrasé (tout seul) sur sa bagnole garée.
Ça fait longtemps que les grands principes de la responsabilité civile ont été dévoyés 😂
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
Comme d'habitude, quoi...
On dit merci qui ?
"Les ports français vont être à l'arrêt à 95%": les dockers annoncent une grève massive le 30 octobre
l.bfmtv.com/Utt3
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
Chinois se connecte à un VPN pour expliquer aux Occidentaux sur Twitter qu'il ne vit pas sous une dictature
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
openai's internal model still has not produced a single result in gender studies
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
If Digger was a Korean film it'd be the unanimous film of the year
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
Always ask yourself "What Would Jean-Paul Sartre Do?" Then do the opposite.
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
On devrait remplacer parcoursup par un grand examen national où tous les lycéens passeraient la même épreuve et seraient notés selon le même barême
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
Leftists be like: “They're using the guy beheading your brother in the street to distract you from your real enemy: Jeff Bezos delivering medicine to your front door overnight.”
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
fertility rates are so abstract that people struggle to understand the scale of the catastrophe we’re experiencing.
take 1.14 children per woman (italy and japan)
if that continues, each generation is roughly half the size of the one before it
start with 100 people in a generation, the next only has about 54, then 29, then 16.
in three generations, roughly a century, you have a generation 84% smaller than the one you started with.
for taiwan that would be 97.4%!
i don't think people really understand what that means
tonic poulain 👶🇺🇦🏗️🌐🔰⚛️🇹🇼 retweeted
Chomsky was wrong.
Researchers found your brain doesn’t store language the way every textbook since 1957 claims.
For decades, the undisputed rule of linguistics, led by Noam Chomsky, was that human language is hierarchical.
We were told our brains process language using complex "grammar trees." That we secretly build deep, abstract, mathematical rules in our heads before we speak.
This new paper proves that is completely wrong.
Researchers at Cornell University analyzed how people actually process and produce language in real time.
They found sequences. Linear chunks.
When we speak, we aren't calculating deep syntactic rules. We are just predicting the next most logical sequence of words based on the context of the words right before it.
We string linear chunks together.
If this sounds familiar, it should.
This is exactly how Large Language Models like ChatGPT work.
For years, critics have dismissed AI as "just a next-token predictor." They said it isn't truly intelligent because it doesn't understand deep grammatical hierarchies like humans do.
But this paper suggests humans don't use those hierarchies either.
We are just predicting the next chunk.
Language isn't a rigid tree of mathematical rules. It's a linear stream of contextual predictions.
We thought we were building AI to mimic the complexity of the human brain.
It turns out, the human brain was just running a simpler algorithm all along.

































