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Cliff Fisher

@brd

Your friendly neighborhood Active Directory expert. Ex-Microsoft. Was @brdpoker on that other site. Also loves poker, board games, watching sports, and spending time with my wife and our fur kiddo. He/him

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19.05.2023
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Latest posts by Cliff Fisher @brd

I was actually quite close to Lake Bellevue, we went to Bellevue Brewing. (Run by more old Microsofties LOL)

08.03.2026 02:22 πŸ‘ 4 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
kill the imposter syndrome in you head because not only is there someone out there doing it worse than you, they're also using chat gpt to do it

kill the imposter syndrome in you head because not only is there someone out there doing it worse than you, they're also using chat gpt to do it

Anyways.

05.03.2026 11:54 πŸ‘ 23699 πŸ” 9088 πŸ’¬ 68 πŸ“Œ 194
Post image Post image

We’re currently running low on canned dog & cat food & kitty litter in our pet food bank. Anyone able to donate can do so through our Amazon Wish List at the link in bio or drop off on the left side of our building at 13212 SE Eastgate Way, Bellevue, WA 98005. Thank you for helping us help others πŸ’œ

04.03.2026 19:10 πŸ‘ 19 πŸ” 21 πŸ’¬ 1 πŸ“Œ 2
Preview
Stand With Minnesota Stand With Minnesota is a hub for supporting, learning, and taking action to support Minnesotans impacted by ICE and federal enforcement.

I’m with the Adopt A Rent team at standwithminnesota.com. If you want to help prevent further evictions for MN immigrant families affected by ICE, you can send us rent funds here:

V: @Ian-Coldwater
CA: $iancoldwater
PP: @coldwater

We keep us housed πŸ’›

Please share and help if you can! Thank you!

05.03.2026 02:30 πŸ‘ 52 πŸ” 32 πŸ’¬ 1 πŸ“Œ 0

Disgusting. And when you search for Sheehy, this is the first text you see below the link:

"Senator Sheehy is committed to ensuring our veterans receive the care and benefits they have rightly earned."

That Marine vet has more honor and valor in that one hand than Tim does in his whole body.

04.03.2026 23:30 πŸ‘ 11 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0

Tired: Misperceiving the shadows in Plato's cave as reality.

Wired: Betting on the shadows in Plato's cave.

04.03.2026 15:28 πŸ‘ 567 πŸ” 111 πŸ’¬ 2 πŸ“Œ 1

what if we did 2003 again but with even stupider people in charge of everything

28.02.2026 15:19 πŸ‘ 1335 πŸ” 290 πŸ’¬ 23 πŸ“Œ 1

The Pyr in him really helps him be a star student in that class πŸ˜†

27.02.2026 15:39 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Came across the phrase "cognitive DDOS" to describe our present culture.

Understood instantly what it meant.

26.02.2026 02:54 πŸ‘ 2700 πŸ” 996 πŸ’¬ 10 πŸ“Œ 0

Awwwwww. Best of luck to you, hubby, and the wonderful Leeloo. πŸ₯Ήβ€οΈβ€οΈ

25.02.2026 15:40 πŸ‘ 8 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

I can't believe a guy who doesn't believe in school would use a metaphor that doesn't make any sense

25.02.2026 15:27 πŸ‘ 1054 πŸ” 146 πŸ’¬ 41 πŸ“Œ 6

She mentions in the article that she's working through it with her therapist, and that her group isn't a replacement for professional therapy.

22.02.2026 21:36 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

I currently pay half of what my mortgage would be in a HCOL area. markets often beat real estate over the long term when you consider total cost of ownership. and rent+utils is the max you pay when you rent, whereas your mortgage is the minimum you pay when you own 🀷

22.02.2026 20:53 πŸ‘ 4 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

And culture is crumbling across most of big tech - or at the very least, all the big tech companies that are shoving AI down every employees' throat like Jonestown Koolaid

21.02.2026 17:18 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Recursion:

21.02.2026 16:36 πŸ‘ 24 πŸ” 11 πŸ’¬ 1 πŸ“Œ 1
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a man in a suit stands in front of a stained glass window with the word kepler below him Alt: Benoit Blanc (Daniel Craig) from Wake Up Dead Man during a scene where the sun shines into the window, then it zooms in on his face as light washes over it. The colors looks a lot like Indy's in this scene
21.02.2026 01:10 πŸ‘ 5 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

this is the thing they want to replace white collar humans & to build datacenters in space for

20.02.2026 23:34 πŸ‘ 4 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

this was my take

20.02.2026 21:50 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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.

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.

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...

18.02.2026 17:24 πŸ‘ 1882 πŸ” 729 πŸ’¬ 30 πŸ“Œ 87

I always liked Braum's burgers, probably my second favorite to Whataburger but super solid & fresh. Dick's is a great simple, cheap, and tasty burger.

19.02.2026 19:55 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

This is why portable coffee setups are vital, among other reasons

19.02.2026 02:20 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

it's true, @reelvixen.bsky.social and I have been jestermaxxing & maxxmaxxing since last weekend

19.02.2026 01:48 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 1

Me too! one of the most interesting things about moving here is observing how much 500-1kft of elevation can change things 🀣

17.02.2026 17:27 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

We're still cold but dry over here.

17.02.2026 16:44 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Once I learned that 20C=68F and 30C=86F (i.e. the numbers are just flipped) it felt a lot easier to understand quickly and then extrapolate up or down from there

16.02.2026 18:05 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

As someone in the comments noted, if they're now losing the suburban white guys in Callaway ball caps, they're losing badly.

14.02.2026 18:16 πŸ‘ 692 πŸ” 83 πŸ’¬ 11 πŸ“Œ 2

as long as barry didn't program the menu... πŸ˜‰

13.02.2026 13:35 πŸ‘ 2 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

It is, Buster. It means you have lots of life experience!

13.02.2026 02:56 πŸ‘ 7 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

i understand why it doesn't happen, but i wish there were a way to release examples of great submissions. I think a lot of finders out there would love to know what "good" looks like in the eyes of MSRC and MSFT PGs.

12.02.2026 17:57 πŸ‘ 2 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

if only these people had any shame whatsoever

11.02.2026 17:28 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0