Luma AI retweeted
Having sex at 19+
Him: Your parents are home.
Her: Then be quiet.
Having sex at 39:
Luma AI retweeted
Having sex as a wife in the 90s:
Wife: The kids are asleep. Come to bed, darling.
Husband: Give me two minutes. Let me finish watching the match.
Having sex as a wife in 2026:
Luma AI retweeted
The launch had the numbers. the BTS has the personality. you need both to understand what @tavus built
Luma AI retweeted
More time to experiment can help you discover your own creative style. Flova 1.5 offers a second year of Pro free during its launch promotion.
Seedance 2.5 720p starts at $0.025/sec.
flova.ai/?refCode=3BFU8P57
🤝 Paid partnership
Luma AI retweeted
A subscription bonus that leaves the choice up to you. Flova 1.5 offers a free second year of Pro, which you can keep for future projects or gift.
Seedance 2.5 720p from $0.025/sec.
flova.ai/?refCode=3BFU8P57
Luma AI retweeted
OCR is only useful when you can trust what it extracts.
MiniCPM-OCR is tackling that challenge with a 1B model for document parsing and a separate model to evaluate the results.
From tables and formulas to complex documents, this open-source suite is built to make document processing faster and more reliable.
Your OCR says it’s done—but did it get everything right? 🤔 In high-stakes workflows, even a small error can be costly.
🚀 Meet the MiniCPM-OCR suite: an open-source solution to parse fast and guard the results.
Two new models:
🔹 MiniCPM-OCR 1.0 — SOTA OCR performance and speed at 1B scale. Compact, accurate, and fast.
🔹 MiniCPM-OCR Jev — A 2B decision model that helps assess parsing accuracy, with performance approaching that of Qwen3.5-397B-A17B on JevOCRBench.
⚡ What’s new?
Small model, SOTA results: MiniCPM-OCR 1.0 scores 93.68 on Real5-OmniDocBench and 54.7 on OCRBench v2.
A sharp goalkeeper 🛡️: MiniCPM-OCR Jev is model-agnostic, checking text, formulas, and tables from different OCR parsers. It achieves 93.6 on JevOCRBench, outperforming JEV-35B-A3B (90.1) and approaching Qwen3.5-397B-A17B (93.8).
Up to 128 pages per minute 🤯: With DSpark, MiniCPM-OCR runs at 1.49× the speed of PaddleOCR-VL-1.6 and 3.62× that of MinerU2.5 Pro. The SDK’s concurrency optimizations further boost throughput to as much as 128 pages per minute.
Deploy where you work: Day-0 support for Arm, Houmo AI, Intel, and NVIDIA, plus 10 more chip vendors through FlagOS.
Ready for your stack: vLLM, SGLang, llama.cpp, and Ollama, with quantized models, fine-tuning support, and Agent Skills.
🔗 GitHub: github.com/OpenBMB/MiniCPM-O…
🤗 Hugging Face:
MiniCPM-OCR 1.0：huggingface.co/openbmb/MiniC…
MiniCPM-OCR Jev：huggingface.co/openbmb/MiniC…
👉 Try the Demo：platform.modelbest.ai/consol…
Use the API：platform.modelbest.ai/consol…
Luma AI retweeted
An AI agent that remembers past rules and learns from previous tasks can save so much repetitive work. EverOS Cloud is an interesting step toward smarter workflows! 🚀
🤝 Paid partnership
Most AI agents can do the work. The problem? They forget what they learned.
Every new task shouldn’t mean starting from scratch.
That’s where EverOS Cloud by @evermind comes in. 🧠
I tested it with a real use case: running a small online clothing shop.
Chat 1: I saved my exchange policy to EverOS memory: wrong size means a free exchange, the shop covers courier costs, and the correct size ships within 3 days.
Chat 2: I opened a brand-new chat and asked Claude how to respond to a customer who ordered M but received XL.
It retrieved my saved policy and drafted a reply based on the rules I’d already provided. Even better, it spotted a gap in my policy: I hadn’t specified how the wrong item should be returned.
That’s what persistent memory can make possible. 👇
→ Records agent runs as Cases and turns recurring experience into reusable Skills.
→ Makes information from documents, emails, PDFs, and spreadsheets searchable as memory.
→ Retrieves relevant context before a task and saves new experience afterward through an API.
→ Combines past experience with SOPs to support repeatable workflows.
The screenshots show my actual test: the shop’s policy being saved in one chat, then retrieved to answer a customer-support question in a separate chat.
🚀 Special Pro Offer: Subscribe to Pro and get 3× your monthly usage allowance for 6 months.
Explore EverOS Cloud 👇everos.evermind.ai/login
#EverMind #EverOS
Luma AI retweeted
Getting married at 20:
Him: We’re soulmates
Her: Nothing can break us
Getting married at 35:
Luma AI retweeted
AI video creation is becoming a complete workflow rather than a single prompt. Flova 1.5 supports that evolution with improved project organization, faster retrieval, smarter memory, and more control over generation. A solid reason to explore what @Flovaai is building. flova.ai/?refCode=MPLHELP7
🤝 Paid partnership
Introducing Flova 1.5
Smarter. More Adaptive. Bring Ideas to Life.
✨ Run multiple sessions in parallel and explore your creativity freely
✨ Chat at any step and switch between creative tasks with ease
✨ Build and reuse Skills to keep expanding your creative capabilities
✨ Rediscover inspiration quickly with smart memory and retrieval
✨ Manage assets flexibly and keep your creative work organized
✨ Take control of your Agent and create at your own pace
🎊 Smart and flexible—turn ideas into videos, your way!
8. Exercise
Training works your pelvic floor, especially if you squeeze it during workouts. It also keeps blood flowing through the small vessels, which is why exercise is recommended for erection problems. Some studies show it works almost like Viagra in some men.
It also balances your hormones. Good blood flow keeps the organs that make semen fed and working.
9. Eat antioxidant and anti-inflammatory foods
With age or after a period of bad habits, your prostate and seminal vesicles need the right fuel. Antioxidant and anti-inflammatory foods keep blood flowing to the area and protect those cells from damage, so they keep working properly.
Get enough zinc, magnesium and vitamins.
Hydrate, space it out, train your pelvic floor, keep heat away, quit smoking and eat for your prostate. Look after your whole body and your semen volume follows.