AI Educator | Teaching you how to earn smarter with AI, automation & digital skills | 📩 DM Open for collaboration 📥 [email protected]
Wyoming
Joined August 2022
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Mark Jason retweeted
Introducing Ling-3.2-flash, Ant Ling's native multimodal model: 560B total / 25B active parameters.
Stronger complex visual understanding, long-horizon multimodal agents, 3D understanding & interaction, and medical intelligence.
Outscores Opus 5 (max) in release evaluations:
- OmniDocBench1.5: 92.21 vs 90.56
- ZEROBench(Sub): 43.71 vs 39.52
- Vision2Web: 85.86 vs 80.20
Mark Jason retweeted
You can earn $7000/month if you have ChatGPT, a laptop, and 60 mins a day.
Usually, I'd charge $79 for this guide, but today you get it completely free.
Like + reply 'Money' and I'll send you my detailed guide for FREE.
Must follow me to get guide in your DM.
FREE for 48 hrs
Mark Jason retweeted
What if you could turn a single AI-generated image into a 30-second cinematic story that people actually want to watch until the end? 👀
No more stitching random clips together. No more inconsistent characters.
Seedance 2.5 + APOB AI might just change how we create viral AI videos. 🔥
🤖 Made with AI
Mark Jason retweeted
A model that can read, see, design, code, and interact with professional tools?
Ling-3.2-flash is pushing multimodal AI in exactly that direction.
From recreating 3D environments to turning research into working implementations, these capabilities could change how teams approach everyday work.
Introducing Ling-3.2-flash, Ant Ling's native multimodal model: 560B total / 25B active parameters.
Stronger complex visual understanding, long-horizon multimodal agents, 3D understanding & interaction, and medical intelligence.
Outscores Opus 5 (max) in release evaluations:
- OmniDocBench1.5: 92.21 vs 90.56
- ZEROBench(Sub): 43.71 vs 39.52
- Vision2Web: 85.86 vs 80.20
Mark Jason retweeted
Today we’re introducing Aether @aetherruntime.
The fastest cloud coding agents in the world that you can use with your existing subscription
Give it a task and just 20 seconds later your build is running on its own cloud machine. You can pick up from your phone, watch every line, and step in whenever you want as if it was local. Close the laptop. It keeps going.
It runs Claude Code or Codex on the Claude or ChatGPT plan you already pay for so there’s not a 2nd AI bill. You only pay for the machine.
When it’s done, if code review is enabled, a reviewer agent runs the code with the changes, which catches classes of bugs that can't be found from static analysis.
Before building Aether I built infra at Apple, Uber, and HeyGen. I built Aether because the cloud agents I tried before all had drawbacks, and I couldn't imagine building something without it now.
It’s free to start. runaether.dev
Mark Jason retweeted
Our OSS skills just got a huge refresh
update HyperFrames skills to unlock /reverse-any-video and the top generative models with Pro
sign in and get access to 10,000+ music tracks, sound effects, 75,000+ stock images and tts for free
npx hyperframes skills update
Mark Jason retweeted
YouTube is not luck. If you start Today.
You can earn $8000 per month by January 2026.
Usually charge $89 for this proven guide, but for today, it's yours 100%
FREE
Like & reply 'YT' and I'll send you my complete guide for FREE
Must follow me to get DM. FREE for 24 hrs only.
Mark Jason retweeted
she left @harvard surgery to build AI. she was told silicon valley would never accept her, that she would die under a bridge.
so she cold-messaged @KiteVC on linkedin because he backed canva early. he replied the next day and sent her to @SanghaCapital. one 90-minute call later, they were her first investors.
@larsras, co-founder of google maps, came in next. @amandaterry of @ACTAIVentures backed her at pre-seed. then @M13Company and @latifperacha led a $5M seed, with xAI co-founder @ChrSzegedy.
@heyrobynai just launched and ran out of invites on day one.
now her dad thinks they'll IPO in three years.
@iamjennyshao on nontechnical, episode 5.
00:00 she left her harvard surgical residency for a startup
00:46 "leave what? leave surgery? leave harvard?"
01:14 "you're gonna die under a bridge"
03:18 how do you walk away from yourself
05:03 now her dad thinks they'll IPO in three years
06:10 why melanie perkins and canva
07:02 the cold linkedin message to bill tai
07:49 one 90-minute call, then the round
08:32 why people are scared of AI
13:13 "decide who owns the complexity"
16:19 everyone gets their own jarvis
17:37 what if AI takes every job?
19:06 robyn, as in robin to your batman
19:52 "help my dog live longer"
28:45 "as a founder, no one's dying"
30:37 530 builds in one year
32:37 three kinds of surgeons
36:52 why AI forgets everything about you
37:30 three years with nobel laureate eric kandel
40:45 "it's like 50 first dates"
44:11 can AI just order my pizza?
45:19 would you give AI your credit card?
47:59 "jenny, I just need more tokens"
49:50 brian chesky lived with his users. she texts hers.
Mark Jason retweeted
You can earn $7000/month if you have ChatGPT, a laptop, and 60 mins a day.
Usually, I'd charge $79 for this guide, but today you get it completely free.
Like + reply 'Money' and I'll send you my detailed guide for FREE.
Must follow me to get guide in your DM
FREE for 48 hrs.
Mark Jason retweeted
I don't understand why people don't just lock in on YouTube
My faceless YouTube channels make me $120,000+/mo (long form only)
There is 𝗻𝗼 𝗹𝘂𝗰𝗸 involved.
Let me send you a free course on exactly how to do it.
Just Retweet and Comment "YouTube" (must follow)
Mark Jason retweeted
Stop generating random AI clips. Start creating videos people actually want to watch. 👀
A viral video needs more than a good prompt. It needs a scroll-stopping hook, consistent visuals, rising tension, and a payoff that keeps viewers watching.
With APOB AI + Seedance 2.5, you can build an entire 30-second AI video with a structured workflow.
Here's how to turn a simple idea into a complete viral-style video. 👇
Mark Jason retweeted
1. Creating viral AI influencer videos takes more than great visuals — it requires the right creative workflow. 🎬
With APOB AI, Seedance 2.5, and GPT Image 2.0, you can create engaging 30-second videos featuring consistent characters, attention-grabbing hooks, cinematic camera movements, and seamless scene transitions.
Turn your ideas into scroll-stopping content! 🚀
🤝 Paid partnership · 🤖 Made with AI
Mark Jason retweeted
Introducing RL with Neural Feedback (RLNF). We have found reliable ways to train AI models to respond to human preferences purely from brain signals.
The example below is a picture of a face that self-transforms into a more attractive version for the subject as they are looking at it.
Mark Jason retweeted
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…
Mark Jason retweeted
Earlier this month we introduced Griffin, the first AI model to pass the video Turing test.
The launch post got a lot of traction (~21M views), but filming it with Griffin running live on set was its own adventure...
Here are some of my favorite BTS clips:
Mark Jason retweeted
A 1B OCR model scoring 93.68 on Real5-OmniDocBench is already worth a look.
But MiniCPM-OCR gets even more interesting with Jev, a separate model designed to evaluate OCR results.
Fast extraction, accuracy checks, and open-source deployment options. A useful combination for developers working with documents at scale.
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…
Mark Jason retweeted
I like this idea more than I expected to.
Not because “one API” sounds cool.
Because it removes a layer of friction between me and the models I actually want to use.
One key. Multiple modalities. Pay as you go.
That’s useful.
Mark Jason retweeted
🏆 NVIDIA Nemotron 3.5 Transcribe debuts at #1 among 14 systems on Voice Arena’s Diarization + ASR leaderboard.
Across the full benchmark, it achieves 32.43% cpWER.
This track tests whether a system can get both the words and the speakers right. We evaluated 139 held-out conversations with 2-8 speakers across in-person and online settings, including overlapping speech.
Nemotron 3.5 Transcribe is first in both settings: 34.08% cpWER in person (far field) and 22.13% on online calls.
It has the lowest word deletion rate on the leaderboard. Deletions are 8.32% of reference words, against a median near 31%.
Congratulations to @NVIDIAAI on the release ! 👏
Mark Jason retweeted
You can earn $25,000 a month if you have:
1. Internet
2. Mobile
3. 1 hour each day
I will teach you how. Get my proven, detailed guide for FREE today.
Like and reply “Send” and I’ll DM it to you.
Must follow me to get the guide in DM.
FREE for the next 48 hours only.
