Average Eastern European couple

Grok explains one reason that X isn't doing so well: "Given a 2% to 10% false positive rate per checked action and typical user behavior,97% to nearly 100% of active X users are likely to encounter at least one false detection (e.g., shadowban, hidden reply, or label) on their account over a 12-month period."

The technical term for this chart is "Bubbelicious" multpl.com/shiller-pe #StockMarket

Microsoft sucks, use Linux mint.

X Customer Support appears nonexistent. The so called Premium bot ignores my help requests now. Support bot said its too early for me to get support whatever that means Waiting for the charge to post so I can do the chargeback now What a mess. Twitter should have shut itself down

0 views even with all the top hashtags

There's nothing quite like watch the #Dolphins and #Ravens led by #Rollins on #YouTubeTV on the day before #Halloween

I'm apparently not visible to anyone browsing my profile without being logged in, even though I paid them money for that purpose. Will give it a week then may do a chargeback on my 1 month payment if they never fix it.

39 Popes were married prior to the 11th century Europeans don't have permanent Deacons, so they bring in Priests from other countries instead their Priest shortage is worse than in America the percentage of the western European public that is Christian is also far less.

Actually, it was Hollywood releasing hot trash that did it, combined with studios giving it all away for a buffet-style monthly fee Exact same thing has happened to console and PC video gaming

LLMs you can run on a gaming PC with ≤ 8 GB VRAM Mistral‑7B‑Instruct‑v0.2 (4‑bit GGML) – strong instruction following, fits ~6 GB Llama‑2‑7B‑Chat (Q4_0) – reliable multilingual chat, ~5 GB Phi‑3‑mini‑4k‑instruct (4‑bit) – ultra‑fast, ~4 GB, great for code snippets Gemma‑2‑9B‑Instruct (Q4_0) – balanced accuracy, ~7 GB Qwen‑1.5‑7B‑Chat (4‑bit) – solid Chinese & multilingual support, ~6 GB All provide 4‑bit (or 8‑bit) GGML checkpoints that run locally with llama.cpp or text‑generation‑webui, staying comfortably under an 8 GB VRAM limit. #LLM #AI