Research indicates male and female immune systems respond differently to viral attacks.

“Man Flu” might actually be physiological and not psychological.

Pretty sure the lyrics are:

Girls who are boys
Who like boys to be girls
Who do boys like they’re girls
Who do girls like they’re boys

Which basically means girls taking the stereotypical male role during intercourse while the boys take the stereotypical female role.

Basically “Pegging: The Musical”.

Patents published in 2022 showed Valve are definitely working on an untethered VR headset, new VR controllers, and a Steam Controller 2. Rumours are they went into mass production in Nov 2024 so we could be near an announcement in the next few months. Typical Valve style, however, is to announce it out of the blue.

But given the success of the Steam Deck, and the money they’ve funnelled into Arch Linux support for ARM processors, I’m pretty confident these aren’t just rumours.

Don’t worry, Valve will be blowing up shit next year.

For the uninitiated

Defederated

Counter: you’re killing the ones that like the taste of a human and thus they’ll evolve to avoid humans.

They might be wanting to build a proper desktop with RGB and all the jazz. While the Steam Deck does kick ass when plugged into a keyboard, mouse, and monitor, it’s not quite as impactful as a tower in terms of presence.

I use my Deck with the official dock all the time so I don’t disagree with Dindonmasker’s point that the value of a Deck is tremendous and a great alternative to building a tower.

Ah yes, the Everything’s Okay Alarm.

It’s wonderful to see such a beautiful part of France’s history restored so incredibly well. My heart broke when I saw it on the news and I hope this brings some joy to the wonderful people of Paris and France. It really is a national treasure and I cannot recommend seeing it in person enough!

L’eau peut nous diviser, mais nous sommes frères et sœurs. Vive la France!

With love from England.

Honestly, it’s very likely just Salesforce since that cantankerous, janky beast is so easy to use poorly.

CRM is “customer relationship management” i.e. a system to manage interactions with customers such as tracking calls, marketing emails and collateral, meetings, quoting, support tickets, and more. It tracks the lifecycle/pipeline of a sale from prospecting, lead qualification and solution mapping, demos and meetings, proposals, negotiations and commitment, opportunity win/loss, license generation, onboarding, renewals, and a ridiculously huge number of other things.

It’s not just tracking the numbers but giving you a centralised system that all other business operations can hook into so you’ve a single source of truth about customer state so that various other operations can be triggered.

When you’ve hundreds of sales people, numerous systems, marketing people, support teams, and more all reading and writing to the same CRM system, if that “system” was a spreadsheet, you’d be constantly deadlocking and race conditioning the hell out of it, not to mention how absurdly huge that file would become with all that historical data (since a big part of CRM is also projections and other analyses across all the data you have).

And Ubuntu, no? Wasn’t that the big selling point of Ubuntu back in the day?

Shame they didn’t use a proper license when publishing.

Just tried a video and faced the exact same issue. It reminds me of news readers who are reading but don’t actually know the text or what sentence comes next and the cadence and tone is really off from how someone would speak it naturally.

I’m sure their content is top notch but the narration feels hollow and I can’t connect with it.

Can’t put my finger on exactly why but I really struggled with the cadence of the video author’s narration.

You okay?

You’re not wrong. Research into models trained on racially balanced datasets has shown better recognition performance among with reduced biases. This was in limited and GAN generated faces so it still needs to be recreated with real-world data but it shows promise that balancing training data should reduce bias.

This is StackOverflow after all. Your question is wrong. Your problem is wrong. You are wrong. I am right. Thread locked. Go read this other post that is totally unrelated to your problem I’ve decided isn’t the problem you’re facing because. I. Am. Right.

Yes. What’s modified about it?