[anxietyproblem]

[in-the-depths-of-solitude]

Egon Schiele, Seated Woman With Bent Knees, 1917

[creature-adjacent]

Carnivorous plants doin this is so funny to me

They don't wanna eat their pollinators :(

[questionablepastries]

[anxietyproblem]

[peakyblinderstho]

Right, sweetheart, here's what's gonna happen, alright? You, you're gonna turn around, you're gonna put that fucking music back on, okay? You're gonna pick a slow number, alright, then you and me... we're gonna waltz around this dance floor like Fred Astaire and Ginger fuckin' Rogers. Do you like to dance? I asked you a question. Do you wanna dance with me, sweetheart?

TOMMY SHELBY in PEAKY BLINDERS: THE IMMORTAL MAN

[topcat77]

 Kiko Miyares. Llanes, Spain-based artist 

Chiseled cars

[arinewman7]

Art Nouveau Brooch

Henri-Auguste Solié

gold, opal and diamond, c. 1900

[blondebrainpowered]

Art Nouveau pearl, gold and enamel ring, by René Lalique centering a button-shaped pearl, between leaves applied with green enamel, ca. 1900.

[lostmanlistman]

Probably one of the most infuriating things about AI recruitment is that it’s being used in the opposite way of its original intention.

The purpose of using AI to filter resumes was for the AI to calculate dozens of variables across hundreds of CVs to find the best candidates. It didn’t matter if your resume didn’t match 100%, because the AI would weigh the most important skills for the position, identify which ones could be learned on the job, and even look for other relevant positions for your profile if possible. This allowed companies to list dozens of requirements under the assumption that you wouldn’t be able to fulfill them all.

But instead, it’s being used to scan thousands of resumes and deny anyone who doesn’t meet 100% of the requirements in a psychotic way. The original idea of intelligent filters was almost utopian:

1. An AI that understands nuance, that knows someone with 70% of the requirements but experience in similar environments might actually be better than someone with 100% on paper.

2. That it can detect skill transferability (e.g., someone who knows Python can quickly learn R; someone who worked with clients can adapt to technical sales).

3. That it optimizes the human–job fit by mapping strengths to various openings, instead of simply discarding people.

BUT NOOOO.

They only use it to look for keywords in the resume, and if they’re not there, filtered out.

[motogpconvert]

close enough, welcome back mclaren mercedes mp4-21

[bauhaus-movement]

CHOOSE ONE🎄

[sebnameyourcar-deactivated]

currently reading Ted Kravitz’s book F1 Insider: Notes from the Pit Lane and about two-thirds of the way through was getting a bit confused and upset at why he wasn’t really mentioning seb at all, even when detailing his championship winning years.

only to turn a page and be greeted by Chapter 16, simply titled “Sebastian” and entirely dedicated to his career and social justice projects. it is wonderfully sweet

[moniquill]

[i-like-reblog-maps]

[moniquill]

I'm so proud of you, chicken

[alwaystiredshark]

For more of my art @alwaystiredshark

[lhamilten-closed]

[race-week]

Dad: engines don’t go pop anymore, not like they used to. That was what made things exciting

[introvertsnation]