Orikan

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Orikan

Orikan

@GesoraMeshack

Tech & AI insights | Helping creators & startups scale with smart tools | Growth Strategies & Digital Marketing | Open to collabs 📩

California, USA Katılım Mayıs 2022
969 Takip Edilen63.9K Takipçiler
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Orikan
Orikan@GesoraMeshack·
I’ve been testing Alibaba’s HappyHorse 1.0 all day and honestly… this thing is getting scary good. I used it to generate: • a Mafia-style crime trailer • an open-world survival game cinematic • realistic action scenes with consistent motion + transitions And the craziest part: All of these clips started from simple prompts. Here’s what I made with it 👇
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Zeely AI
Zeely AI@zeely_ai·
Recreating any ad is now possible. Wait, what? 🎭 Your wildest idea has a template. Your favorite ad could be remade. No excuses for being boring. 8h only: RT + like + follow + comment "Zeely" → 500 credits.
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Orikan
Orikan@GesoraMeshack·
@HeyGen @HyperFrames_ the underrated part is how much faster iteration becomes...... small placement tweaks used to interrupt momentum completely. drag-and-drop keeps you in flow
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HeyGen
HeyGen@HeyGen·
Creating with HyperFrames just got faster Drag elements in the studio to fix placement instead of prompting We also built the full component catalog right into the studio. Browse and add $ npx hyperframes@latest preview Follow @hyperframes_ for updates
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Orikan
Orikan@GesoraMeshack·
the drag update changes more than the UI tbh before this, getting something “almost right” still meant another prompt cycle, another render, another wait now you can literally grab the component and place it where your brain wanted it in the first place feels like HyperFrames is slowly removing every layer between idea and output
HeyGen@HeyGen

Creating with HyperFrames just got faster Drag elements in the studio to fix placement instead of prompting We also built the full component catalog right into the studio. Browse and add $ npx hyperframes@latest preview Follow @hyperframes_ for updates

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Orikan
Orikan@GesoraMeshack·
@Test_Sprite How easy is the setup for complex SPAs?
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TestSprite
TestSprite@Test_Sprite·
TestSprite 3.0 is live. A fleet of parallel AI agents that use your app like real users — in minutes. This is the release we've been building all year. The numbers tell the story of our completely overhauled engine: - Accuracy jumped by nearly 40% on the hardest, most complex projects. - Coverage increased significantly across the board for every E2E run. - Reliability is locked in—stable and consistent across multiple runs. We rebuilt our entire engine around these performance gains so you can ship fast and ship confident.
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Orikan
Orikan@GesoraMeshack·
@OpenBMB @Tsinghua_Uni Edge deployment is hard enough without expensive HBM..... If you can cut memory by 6x and still keep the model useful?That's not a demo. That's a lifeline for phone and car guys.OpenBMB did it
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OpenBMB
OpenBMB@OpenBMB·
🚀 BitCPM-CANN by ModelBest × @Tsinghua_Uni × OpenBMB is here — and it's not about stacking parameters. Memory costs are skyrocketing. Hardware constraints are tightening. Edge AI needs smarter solutions — and BitCPM-CANN delivers!🎉 ✅ Edge-ready: 8B model runs smoothly on mobile, PC, and automotive devices. Combined with MoE, even 100B->60B scale models could fit on terminal hardware. ✅ Memory-efficient: ~6× lower memory footprint vs. BF16 — unlock significantly more model capacity without adding physical RAM. No new chips required. ✅ Natively built on Ascend: The first 1.58-bit training pipeline completed end-to-end on Huawei Ascend 910B — from quantization kernels to the full training stack. Not a port. Built natively on Ascend from day one. ✅ Full model family, fully verified, 0.5B–8B: Each model is fully aligned with its full-precision counterpart, covering 11 benchmark tasks with 95–97% (1B-8B) retention compared to full-precision MiniCPM4. Open-source and fully reproducible — from research to deployment, you can run any size confidently. BitCPM-CANN isn’t just a model — it’s the result of years of engineering rigor, turning complex research into something you can actually deploy. Open-source, 0.5B to 8B. Try it now!👇 🤗 Hugging Face: huggingface.openbmb.com/collections/op… 🔭 ModelScope: modelscope.cn/collections/Op…
OpenBMB tweet media
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Orikan
Orikan@GesoraMeshack·
Weights are open which is great but how much of the actual training recipe is reproducible? That's where the real value is fr.
OpenBMB@OpenBMB

🚀 BitCPM-CANN by ModelBest × @Tsinghua_Uni × OpenBMB is here — and it's not about stacking parameters. Memory costs are skyrocketing. Hardware constraints are tightening. Edge AI needs smarter solutions — and BitCPM-CANN delivers!🎉 ✅ Edge-ready: 8B model runs smoothly on mobile, PC, and automotive devices. Combined with MoE, even 100B->60B scale models could fit on terminal hardware. ✅ Memory-efficient: ~6× lower memory footprint vs. BF16 — unlock significantly more model capacity without adding physical RAM. No new chips required. ✅ Natively built on Ascend: The first 1.58-bit training pipeline completed end-to-end on Huawei Ascend 910B — from quantization kernels to the full training stack. Not a port. Built natively on Ascend from day one. ✅ Full model family, fully verified, 0.5B–8B: Each model is fully aligned with its full-precision counterpart, covering 11 benchmark tasks with 95–97% (1B-8B) retention compared to full-precision MiniCPM4. Open-source and fully reproducible — from research to deployment, you can run any size confidently. BitCPM-CANN isn’t just a model — it’s the result of years of engineering rigor, turning complex research into something you can actually deploy. Open-source, 0.5B to 8B. Try it now!👇 🤗 Hugging Face: huggingface.openbmb.com/collections/op… 🔭 ModelScope: modelscope.cn/collections/Op…

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Orikan
Orikan@GesoraMeshack·
@starks_arq The craziest part is that geography matters less and less now. Talent can come from literally anywhere.
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Amir D
Amir D@starks_arq·
We sat down with a Hollywood executive producer and made an AI short film in under 8 minutes, he was speechless... Here's how we used our speech to film system to make it from a hotel room: 🧵
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Orikan
Orikan@GesoraMeshack·
What hit me most about this wasn’t the AI. It was a Hollywood producer sitting in a hotel room making a short film with creators from Morocco using one laptop. That kind of access didn’t exist a few years ago. The next great director might already be online right now, just waiting for the tools to catch up to their imagination.
Amir D@starks_arq

We sat down with a Hollywood executive producer and made an AI short film in under 8 minutes, he was speechless... Here's how we used our speech to film system to make it from a hotel room: 🧵

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Moe Zee
Moe Zee@OfficialMoeZee·
My thoughts on CAC payback as it relates to Product market fit
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Orikan
Orikan@GesoraMeshack·
I genuinely think captions are one of the biggest “why am I paying for this?” features in creator tools. HyperFrames just open sourced 17 caption styles + local transcription in a single command. The wild part is agents can now apply and customize them automatically. This space is moving fast.
HeyGen@HeyGen

“Smart Captions” - the most expensive but basic feature in video apps So we open sourced 17 captions in HyperFrames Free. Fully customizable. One command to install. $ npx hyperframes add captions Plus local background removal — free, studio-grade Make your content POP!

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Orikan@GesoraMeshack·
@HeyGen The fact that the caption templates are fully customizable is a big W
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HeyGen
HeyGen@HeyGen·
“Smart Captions” - the most expensive but basic feature in video apps So we open sourced 17 captions in HyperFrames Free. Fully customizable. One command to install. $ npx hyperframes add captions Plus local background removal — free, studio-grade Make your content POP!
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Orikan
Orikan@GesoraMeshack·
The bigger shift here isn’t “AI employees.” It’s the idea that one person might finally be able to operate with the leverage of a full team without raising capital or hiring fast. If execution keeps getting automated, the bottleneck becomes judgment, creativity, and distribution. That changes entrepreneurship completely.
Xiaoyin Qu@quxiaoyin

Today, we launch Tycoon.us @tycoonai: the world’s first operating system for one-person companies. Everyone gets an AI CEO + infinite AI employees(coding, marketing, ops etc.) A year ago, I became the first human CEO replaced by an AI CEO named Astra. Astra helped companies reach 100K+ users and $1M ARR in 30 days. That experiment became Tycoon. Today, Corporate America(e.g. Meta) is telling one story about AI: Fewer people. Fewer jobs. Fewer humans needed. Fuck that story. I believe the opposite. For the first time, one person can build with the operating power of an entire company. One founder. One AI CEO. Infinite AI employees. You text Astra your ideas, goals, tasks, and questions. - She strategizes, assigns work to AI employees, reviews progress, and makes sure it gets done. - She can manage up to 1,000 agents in parallel, 24/7, while you sleep. Tycoon includes built-in AI employees for engineering, marketing, research, content, SEO, finance, legal, support, and video. Astra can also manage Claude Code and Hermes Agent. The old company was built around headcount, managers, meetings, and layers. The new company starts with one person and a dream. Execution belongs to machines. Vision belongs to humans. That is what Tycoon is for. Start your one person company today! tycoon.us

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Orikan@GesoraMeshack·
@quxiaoyin @tycoonai Feels more like infrastructure for running an actual business.......Interesting shift.
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Xiaoyin Qu
Xiaoyin Qu@quxiaoyin·
Today, we launch Tycoon.us @tycoonai: the world’s first operating system for one-person companies. Everyone gets an AI CEO + infinite AI employees(coding, marketing, ops etc.) A year ago, I became the first human CEO replaced by an AI CEO named Astra. Astra helped companies reach 100K+ users and $1M ARR in 30 days. That experiment became Tycoon. Today, Corporate America(e.g. Meta) is telling one story about AI: Fewer people. Fewer jobs. Fewer humans needed. Fuck that story. I believe the opposite. For the first time, one person can build with the operating power of an entire company. One founder. One AI CEO. Infinite AI employees. You text Astra your ideas, goals, tasks, and questions. - She strategizes, assigns work to AI employees, reviews progress, and makes sure it gets done. - She can manage up to 1,000 agents in parallel, 24/7, while you sleep. Tycoon includes built-in AI employees for engineering, marketing, research, content, SEO, finance, legal, support, and video. Astra can also manage Claude Code and Hermes Agent. The old company was built around headcount, managers, meetings, and layers. The new company starts with one person and a dream. Execution belongs to machines. Vision belongs to humans. That is what Tycoon is for. Start your one person company today! tycoon.us
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