u/ButterflyMundane7187

Light drum and bass jazz. Do not use any other instruments only drums and bass.

this will alwats dive me piano i do not want piano can someone help me with a promt please

6 maj 1938: En traktorförare i Kalifornien kastades bakåt när traktorn slog ner i ett dike. Hans byxor fastnade i en roterande drivaxel/universal joint, och olyckan slutade så illa att en medicinsk rapport senare beskrev hur hela penis slets loss. Han ska dessutom ha gått ungefär en mile för att få hjälp.

6 maj 2018: Baseballstjärnan Yadier Molina fick en foul tip rakt i skrevet efter en pitch på cirka 102 mph. Dagen efter, 6 maj, meddelade Cardinals att han behövde akut kirurgi för en bäckenskada/traumatiskt hematom. Läkarna lyckades enligt rapporter rädda båda testiklarna.

Ta på era suspensoar innan ni går ut idag.

A lot of people want the Cyberdeck 3D Chrome extension after I shared the Cyberdeck Browser.

In the meantime, here’s a webpage launcher it’s packed with 1337 links for your daily needs.

A lot of YouTube creators keep telling people that local open‑source AI on a normal home computer will soon be as good as ChatGPT or Opus. Many Reddit users who are new to AI or do not do any other reading than watching youtube belive this.

They exaggerate because hype brings views, not accuracy.

The models that run well on a regular PC are small. They can be useful, but they don’t have the depth or reasoning of the largest commercial models.

Most home computers can handle models in the 7B to 13B range. The huge models that get compared to ChatGPT need far more power than a normal PC can provide. Claude Opus 4.7 is estimated at 1.1 trillion parameters, and GPT‑5.5 is estimated at 1.5 trillion parameters. These numbers come from independent reverse‑engineering analyses.

The best open‑source models are also far beyond what a normal PC can run.

DeepSeek‑V3 and DeepSeek‑R1 are both around 671B parameters, and even the smaller MoE like Mixtral‑8×30B reach 240B parameters.

And this won’t change in two years. It’s not a software issue it’s a physical hardware limit. Consumer GPUs barely increase their memory from one generation to the next, while model sizes grow much faster. If a model needs more memory than your GPU has, it simply cannot run. You can’t compress a massive model into a tiny one without losing most of its ability.

So when influencers claim “your PC will run AI as good as ChatGPT soon,” they’re misleading people. It creates unrealistic expectations, and beginners on Reddit end up confused when their local model doesn’t come close to what was promised.

These links explain what local models can actually do and what hardware they need. They make it clear that local AI is useful, but it’s not on the same level as the biggest commercial models.

Do you guys ever stop and think about the environmental impact of compiling everything?

Every time you rebuild your system, a power plant somewhere sighs, a river loses a liter of water, and a barrel of oil quietly disappears.

Gentoo isn’t just a distro it’s a lifestyle choice with a carbon footprint.

All that just to recompile your text editor with two extra USE‑flags.

If everyone on Earth switched to Gentoo and compiled everything, we’d burn an extra 1.2 billion kWh a year.

That’s enough electricity to boil 1.2 billion liters of water just to watch GCC scream.

Global freshwater use would rise by a majestic 0.00003%, all thanks to USE‑flags.

Oil consumption would tick up by a heroic 0.006%, purely to build Firefox from source.

In other words: Gentoo users aren’t just compiling software — they’re speed‑running climate change.

All that for a system that boots 0.4 seconds faster.