I'm gonna say before anyone says "Well you asked for this" in reference to Roblox's age verification. We asked for transparency, accountibility, and better moderation. Not age estimation and age verification!
#NoToAI #Notoageverification
#NoToAI #Notoageverification
November 12, 2025 at 11:38 PM
I'm gonna say before anyone says "Well you asked for this" in reference to Roblox's age verification. We asked for transparency, accountibility, and better moderation. Not age estimation and age verification!
#NoToAI #Notoageverification
#NoToAI #Notoageverification
Distributionally Robust Dynamic Structural Estimation: Serial Dependence and Sensitivity Analysis
NEP/RePEc link
to paper
d.repec.org
November 12, 2025 at 10:45 PM
Distributionally Robust Dynamic Structural Estimation: Serial Dependence and Sensitivity Analysis
There is NO WAY Wes Streeting gets the top job. He has about a 0.0001 % chance. (I teach Maths)
it is possible he is a stalking horse but even THAT is unlikely. Less than 5% in my estimation. My guess.
it is possible he is a stalking horse but even THAT is unlikely. Less than 5% in my estimation. My guess.
November 12, 2025 at 10:44 PM
There is NO WAY Wes Streeting gets the top job. He has about a 0.0001 % chance. (I teach Maths)
it is possible he is a stalking horse but even THAT is unlikely. Less than 5% in my estimation. My guess.
it is possible he is a stalking horse but even THAT is unlikely. Less than 5% in my estimation. My guess.
I believe the U.S. has permanently gone way down in the world's estimation; not just because of tRump, but because "we the people" put him there.
November 12, 2025 at 10:28 PM
I believe the U.S. has permanently gone way down in the world's estimation; not just because of tRump, but because "we the people" put him there.
Next Event Estimation clearly wins - fewer samples, faster convergence, same physical accuracy ⚡
However, it seems like NEE results in slightly brighter images. That points to a bug, the converged outcome should be identical.
A proper denoising algorithm could speed up image generation further.
However, it seems like NEE results in slightly brighter images. That points to a bug, the converged outcome should be identical.
A proper denoising algorithm could speed up image generation further.
November 12, 2025 at 10:18 PM
Next Event Estimation clearly wins - fewer samples, faster convergence, same physical accuracy ⚡
However, it seems like NEE results in slightly brighter images. That points to a bug, the converged outcome should be identical.
A proper denoising algorithm could speed up image generation further.
However, it seems like NEE results in slightly brighter images. That points to a bug, the converged outcome should be identical.
A proper denoising algorithm could speed up image generation further.
Here’s a comparison between regular path tracing and next event estimation (NEE) 🎨
Both methods converge to the same final image — but NEE gets there much faster ⏱️
Here we use 10 times more samples for path tracing, yet the image still looks worse than with NEE.
Both methods converge to the same final image — but NEE gets there much faster ⏱️
Here we use 10 times more samples for path tracing, yet the image still looks worse than with NEE.
November 12, 2025 at 10:18 PM
Here’s a comparison between regular path tracing and next event estimation (NEE) 🎨
Both methods converge to the same final image — but NEE gets there much faster ⏱️
Here we use 10 times more samples for path tracing, yet the image still looks worse than with NEE.
Both methods converge to the same final image — but NEE gets there much faster ⏱️
Here we use 10 times more samples for path tracing, yet the image still looks worse than with NEE.
Je précise que les milliers de cyclistes sont une estimation, car en l'absence de données, seule la spéculation sur le vécu est possible.
C'est un défaut majeur de politique publiqu.
C'est un défaut majeur de politique publiqu.
November 12, 2025 at 9:50 PM
Je précise que les milliers de cyclistes sont une estimation, car en l'absence de données, seule la spéculation sur le vécu est possible.
C'est un défaut majeur de politique publiqu.
C'est un défaut majeur de politique publiqu.
By my rough estimation, it seems like approximately 1% of living male Nobel Laureates were comfortable participating in a eugenics program,...
Honestly, that's lower than I expected.
Honestly, that's lower than I expected.
November 12, 2025 at 9:49 PM
By my rough estimation, it seems like approximately 1% of living male Nobel Laureates were comfortable participating in a eugenics program,...
Honestly, that's lower than I expected.
Honestly, that's lower than I expected.
Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
NEP/RePEc link
to paper
d.repec.org
November 12, 2025 at 8:45 PM
Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning
Ou alors tu as un algo qui fait une estimation taille/surface moins taille/surface de la toile auquel tu retranches un volume non plein mais v’la la complexité du bazar pour un coup de baygon
November 12, 2025 at 8:41 PM
Ou alors tu as un algo qui fait une estimation taille/surface moins taille/surface de la toile auquel tu retranches un volume non plein mais v’la la complexité du bazar pour un coup de baygon
no bad thing in my estimation :)
November 12, 2025 at 8:38 PM
no bad thing in my estimation :)
While the Deck has done well, it has done well “for only selling on Steam itself.” Like. Not even out of the single digit million realm, from every estimation I’ve seen.
It needs to sell to a larger mainstream and be in the public consciousness if its gonna punch any higher than that.
It needs to sell to a larger mainstream and be in the public consciousness if its gonna punch any higher than that.
November 12, 2025 at 8:06 PM
While the Deck has done well, it has done well “for only selling on Steam itself.” Like. Not even out of the single digit million realm, from every estimation I’ve seen.
It needs to sell to a larger mainstream and be in the public consciousness if its gonna punch any higher than that.
It needs to sell to a larger mainstream and be in the public consciousness if its gonna punch any higher than that.
I was getting good at that (in my own estimation 😁) and building quite a library of memes. I also enjoyed it tremendously. But then everyone moved over here and said that it was a waste of time to remain on The Bad Place.
November 12, 2025 at 8:04 PM
I was getting good at that (in my own estimation 😁) and building quite a library of memes. I also enjoyed it tremendously. But then everyone moved over here and said that it was a waste of time to remain on The Bad Place.
"social scientists have progressively tended to give priority to establish whether parameters, and their association, are different from zero rather than focusing on estimation of their value" (Manzo, Agent-based models and Causal Inference, Wiley, 2022, p. 11).
November 12, 2025 at 7:20 PM
"social scientists have progressively tended to give priority to establish whether parameters, and their association, are different from zero rather than focusing on estimation of their value" (Manzo, Agent-based models and Causal Inference, Wiley, 2022, p. 11).
That's not how I understand it will work but I guess it's a relatively simple estimation.
We can probably estimate when Musk will unlock the first tranches, based on those easy to achieve targets.
But ok, for simplicity it's ok. Thanks
We can probably estimate when Musk will unlock the first tranches, based on those easy to achieve targets.
But ok, for simplicity it's ok. Thanks
November 12, 2025 at 6:39 PM
That's not how I understand it will work but I guess it's a relatively simple estimation.
We can probably estimate when Musk will unlock the first tranches, based on those easy to achieve targets.
But ok, for simplicity it's ok. Thanks
We can probably estimate when Musk will unlock the first tranches, based on those easy to achieve targets.
But ok, for simplicity it's ok. Thanks
So here we go from more than 41 million vehicles on UK roads in 2024 to a growth estimation by Dept 4 Transport that road traffic in England & Wales could grow by as much as 54% between 2025 & 2060. In other words, unless the population declines drastically, more cars than people
Total madness!
Total madness!
Government to use military driving examiners to cut driving test backlog
The Department for Transport claims there will be up to 6,500 more tests available over the next year as it seeks to cut waiting lists
news.sky.com/story/govern...
The Department for Transport claims there will be up to 6,500 more tests available over the next year as it seeks to cut waiting lists
news.sky.com/story/govern...
Government to use military driving examiners to cut driving test backlog
The Department for Transport (DfT) claims there will be up to 6,500 more tests available over the next year as it seeks to cut waiting lists.
news.sky.com
November 12, 2025 at 5:36 PM
So here we go from more than 41 million vehicles on UK roads in 2024 to a growth estimation by Dept 4 Transport that road traffic in England & Wales could grow by as much as 54% between 2025 & 2060. In other words, unless the population declines drastically, more cars than people
Total madness!
Total madness!
Estimation and mapping of the missing heritability of human phenotypes
Estimation and mapping of the missing heritability of human phenotypes
Nature, Published online: 12 November 2025; doi:10.1038/s41586-025-09720-6 WGS data were used from 347,630 individuals with European ancestry in the UK Biobank to obtain high-precision estimates of coding and non-coding rare variant heritability for 34 complex traits and diseases.
www.nature.com
November 12, 2025 at 5:27 PM
Estimation and mapping of the missing heritability of human phenotypes
link 📈🤖
Neumann-series corrections for regression adjustment in randomized experiments (Song) We study average treatment effect (ATE) estimation under complete randomization with many covariates in a design-based, finite-population framework. In randomized experiments, regression adjustment can i
Neumann-series corrections for regression adjustment in randomized experiments (Song) We study average treatment effect (ATE) estimation under complete randomization with many covariates in a design-based, finite-population framework. In randomized experiments, regression adjustment can i
November 12, 2025 at 5:04 PM
link 📈🤖
Neumann-series corrections for regression adjustment in randomized experiments (Song) We study average treatment effect (ATE) estimation under complete randomization with many covariates in a design-based, finite-population framework. In randomized experiments, regression adjustment can i
Neumann-series corrections for regression adjustment in randomized experiments (Song) We study average treatment effect (ATE) estimation under complete randomization with many covariates in a design-based, finite-population framework. In randomized experiments, regression adjustment can i
Bore-depth: Self-Supervised Monocular Depth Estimation with 8.7M Parameters Improves Boundary Quality on Embedded Systems
Read more:
https://quantumzeitgeist.com/supervised-systems-bore-depth-self-monocular-estimation-parameters-improves/
Read more:
https://quantumzeitgeist.com/supervised-systems-bore-depth-self-monocular-estimation-parameters-improves/
Bore-depth: Self-Supervised Monocular Depth Estimation With 8.7M Parameters Improves Boundary Quality On Embedded Systems
Researchers have created a compact and efficient computer vision model, BoRe-Depth, that accurately estimates depth from single images and sharply defines object boundaries, achieving real-time performance on embedded systems like the Jetson Orin.
quantumzeitgeist.com
November 12, 2025 at 5:03 PM
Bore-depth: Self-Supervised Monocular Depth Estimation with 8.7M Parameters Improves Boundary Quality on Embedded Systems
Read more:
https://quantumzeitgeist.com/supervised-systems-bore-depth-self-monocular-estimation-parameters-improves/
Read more:
https://quantumzeitgeist.com/supervised-systems-bore-depth-self-monocular-estimation-parameters-improves/
Genome size estimation from long read overlaps academic.oup.com/bioinformati... 🧬🖥️🧪
code (rust) github.com/mbhall88/lrge
code (rust) github.com/mbhall88/lrge
November 12, 2025 at 5:00 PM
Genome size estimation from long read overlaps academic.oup.com/bioinformati... 🧬🖥️🧪
code (rust) github.com/mbhall88/lrge
code (rust) github.com/mbhall88/lrge
link 📈🤖
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression (Kato) This study investigates treatment effect estimation in the semi-supervised setting, where we can use not only the standard triple of covariates, treatment indicator, and outcome,
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression (Kato) This study investigates treatment effect estimation in the semi-supervised setting, where we can use not only the standard triple of covariates, treatment indicator, and outcome,
November 12, 2025 at 4:59 PM
link 📈🤖
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression (Kato) This study investigates treatment effect estimation in the semi-supervised setting, where we can use not only the standard triple of covariates, treatment indicator, and outcome,
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression (Kato) This study investigates treatment effect estimation in the semi-supervised setting, where we can use not only the standard triple of covariates, treatment indicator, and outcome,
link 📈🤖
Parameter Estimation and Seasonal Modification of the Fractional Poisson Process with Application to Vorticity Extremes over the North Atlantic (Mendel, Fried) The fractional Poisson process (FPP) generalizes the standard Poisson process by replacing exponentially distributed return times
Parameter Estimation and Seasonal Modification of the Fractional Poisson Process with Application to Vorticity Extremes over the North Atlantic (Mendel, Fried) The fractional Poisson process (FPP) generalizes the standard Poisson process by replacing exponentially distributed return times
November 12, 2025 at 4:54 PM
link 📈🤖
Parameter Estimation and Seasonal Modification of the Fractional Poisson Process with Application to Vorticity Extremes over the North Atlantic (Mendel, Fried) The fractional Poisson process (FPP) generalizes the standard Poisson process by replacing exponentially distributed return times
Parameter Estimation and Seasonal Modification of the Fractional Poisson Process with Application to Vorticity Extremes over the North Atlantic (Mendel, Fried) The fractional Poisson process (FPP) generalizes the standard Poisson process by replacing exponentially distributed return times
Rachat d’or : que se passe-t-il une fois votre or évalué ?
🔍 Étape 1 : Analyse complète
📝 Étape 2 : Offre d’achat
✅ Étape 3 : Vente et sécurité
📞 Contactez-nous pour une estimation gratuite et sans engagement à Cannes (06) et Cannes la bocca, Le Cannet, Mougins, Mandelieu.
🔍 Étape 1 : Analyse complète
📝 Étape 2 : Offre d’achat
✅ Étape 3 : Vente et sécurité
📞 Contactez-nous pour une estimation gratuite et sans engagement à Cannes (06) et Cannes la bocca, Le Cannet, Mougins, Mandelieu.
November 12, 2025 at 4:43 PM
Rachat d’or : que se passe-t-il une fois votre or évalué ?
🔍 Étape 1 : Analyse complète
📝 Étape 2 : Offre d’achat
✅ Étape 3 : Vente et sécurité
📞 Contactez-nous pour une estimation gratuite et sans engagement à Cannes (06) et Cannes la bocca, Le Cannet, Mougins, Mandelieu.
🔍 Étape 1 : Analyse complète
📝 Étape 2 : Offre d’achat
✅ Étape 3 : Vente et sécurité
📞 Contactez-nous pour une estimation gratuite et sans engagement à Cannes (06) et Cannes la bocca, Le Cannet, Mougins, Mandelieu.
My estimation of Time as a reliable source of information has just gone up by several points as a result of reading this piece. Haven’t read Time in a while, but if the other articles are as fair and insightful as Gavan’s, worth looking again.
November 12, 2025 at 4:18 PM
My estimation of Time as a reliable source of information has just gone up by several points as a result of reading this piece. Haven’t read Time in a while, but if the other articles are as fair and insightful as Gavan’s, worth looking again.