First good driving day yesterday…

I get it, and am sure this BS will continue. I think it’s the optics of “if I paid for a car that has X physical features, don’t charge me more to use them”. Trunk, power windows, seat recliner etc. No complaints if you got the base version that comes without a trunk.

Holy shit this can’t be real

I’m openly and loudly anti-MAGA in my quarter zip and vest 🤘🏼

What about these things are red flags to you?

I’m a middle aged male with a corporate job who’s work wardrobe is almost exclusively quarter zips. And i do love me some vests and have been rocking them since the early 2000s - long before finance bros discovered them

Fight me bro

Nah I think you’re way off base here. That dork was 100% invited and welcomed. It is what it is, but don’t pretend otherwise

As someone who was born and raised in AA, that’s lame. Michiganders should only claim guys born/raised in MI. Stolen valor

Need the details this sounds hilarious

Sorry bro. Fuck Team USA Hockey

Every news story is now “State Senator Randy Pervert (R-Springfield) was indicted on 8 counts of lewd behavior with a child under 12 and has been put on paid leave from his two jobs as Border Patrol liaison and youth pastor at First Presbyterian (PCA) where parishioners say they were ‘blindsided.’”

UK: Prince Andrew arrested.

South Korea: Former President Yoon sentenced for life.

Brazil: Former President Bolsonaro serving a 27-year sentence.

USA: President Trump demands $10 billion payout from taxpayers.

Article: The political effects of X’s feed algorithm Abstract: Feed algorithms are widely suspected to influence political attitudes. However, previous evidence from switching off the algorithm on Meta platforms found no political effects1. Here we present results from a 2023 field experiment on Elon Musk’s platform X shedding light on this puzzle. We assigned active US-based users randomly to either an algorithmic or a chronological feed for 7 weeks, measuring political attitudes and online behaviour. Switching from a chronological to an algorithmic feed increased engagement and shifted political opinion towards more conservative positions, particularly regarding policy priorities, perceptions of criminal investigations into Donald Trump and views on the war in Ukraine. In contrast, switching from the algorithmic to the chronological feed had no comparable effects. Neither switching the algorithm on nor switching it off significantly affected affective polarization or self-reported partisanship. To investigate the mechanism, we analysed users’ feed content and behaviour. We found that the algorithm promotes conservative content and demotes posts by traditional media. Exposure to algorithmic content leads users to follow conservative political activist accounts, which they continue to follow even after switching off the algorithm, helping explain the asymmetry in effects. These results suggest that initial exposure to X’s algorithm has persistent effects on users’ current political attitudes and account-following behaviour, even in the absence of a detectable effect on partisanship.

Figure 2. ITT estimates of feed-setting changes on engagement and political attitudes. ITT effect estimates of switching the algorithm on and off (in s.d.). Left, effect of moving from the chronological to the algorithmic feed for users initially on the chronological feed. Right, effect of moving in the opposite direction for users initially on the algorithmic feed. For each outcome, the results of two specifications are reported. Blue, unconditional estimates with robust s.e., controlling only for the initial feed setting and, where applicable, pre-treatment outcome levels. Orange: conditional estimates, controlling for pre-treatment covariates using GRFs; 90% and 95% CIs are reported. Numerical effect sizes and P values correspond to the conditional estimates (all tests are two-sided). The unit of observation is respondent. From top to bottom, sample sizes are n = 4,965, n = 3,337, n = 4,965, n = 4,965, n = 4,596, n = 4,596 and n = 4,850. Tests are described in Methods. Supplementary Information Table 2.16 reports the exact numerical point estimates, s.e., CIs and sample sizes for every specification. All outcomes are standardized. Additional results are presented in Supplementary Information section 2. PCA, first principal component from principal component analysis.

X's algorithm is in fact doing what you think it's doing. www.nature.com/articles/s41...

Booker looks to be the exact same player as last year

Putting the L in UCLA right now.

Agree 100%

How much “scale” does a niche enthusiast car shopping AI bot need? My point stands….if he actually gave a shit about the environment he could have forced choices/compromises to drive impact. Even finding a tech provider with the lowest carbon footprint etc. He didn’t mention anything of the sort

What doesn’t exist?

💯 I loved the “well I’m with you that it’s bad for the environment”…like bro you could stipulate when sourcing the back end tech for your app that providers use clean energy….but you didn’t because profitz

Just busting your chops Couch. F Northwestern J school, Columbia forever 🤘🏼

Wines? Maybe Northwestern J school IS far superior to Columbus after all

Greg Gard looks like the assistant finance director of a car dealership who tries to add a line item to your invoice for filling your tires with nitrogen

Bob Seger

Plus a terrible use of energy and water

Gritty

Kenneth Walker was robbed of a Heisman Ceremony invitation. Won the Walter Camp POY award that year.

💯