Mark Jason (@So__lethal) header
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AI Educator | Teaching you how to earn smarter with AI, automation & digital skills | ๐Ÿ“ฉ DM Open for collaboration ๐Ÿ“ฅ [email protected]

Wyoming
Joined August 2022
Photo by Mark Jason (@So__lethal)Photo by Mark Jason (@So__lethal)Photo by Mark Jason (@So__lethal)Photo by Mark Jason (@So__lethal)Photo by Mark Jason (@So__lethal)Photo by Mark Jason (@So__lethal)Photo by Mark Jason (@So__lethal)Photo by Mark Jason (@So__lethal)Photo by Mark Jason (@So__lethal)Photo by Mark Jason (@So__lethal)
A good creator community can be just as valuable as a good creative tool. Thatโ€™s one thing I like about what CapCut is building with CapCut World. Following the successful Singapore event, creators will have another opportunity to connect in Los Angeles this October and share ideas around AI, creativity, and video creation. More connections usually mean more interesting ideas. #CapCutWorld #CapCutDidThat
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Forget switching between five different tools to get one project done. Ling-3.2-flash demonstrates how AI can connect research, coding, design, 3D creation, and multi-agent collaboration. 560B total parameters and native multimodal capabilities. The future of AI workflows is looking seriously interesting.
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
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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
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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
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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? ๐Ÿ‘€ No more stitching random clips together. No more inconsistent characters. Seedance 2.5 + APOB AI might just change how we create viral AI videos. ๐Ÿ”ฅ
๐Ÿค– Made with AI
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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
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19 seconds. Three tools. Same test. Aether 19s Replicas 32s Conductor Cloud 73s And a faster chip inside the machine, which is what your agent runs the tests on.
Today weโ€™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 thereโ€™s not a 2nd AI bill. You only pay for the machine. When itโ€™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. Itโ€™s free to start. runaether.dev
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Mark Jason retweeted
Today weโ€™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 thereโ€™s not a 2nd AI bill. You only pay for the machine. When itโ€™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. Itโ€™s free to start. runaether.dev
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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
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๐Ÿง  long-term memory ๐Ÿ” cross-session tasks ๐ŸŽจ web, SVG, 3D, PPT, posters ๐ŸงŠ editable Blender projects SenseNova 6.8 Flash wants to be a collaborator, not just a content generator. Get started ๐Ÿ‘‰ platform.sensenova.cn/en/docโ€ฆ
๐—ฆ๐—ฒ๐—ป๐˜€๐—ฒ๐—ก๐—ผ๐˜ƒ๐—ฎ ๐Ÿฒ.๐Ÿด ๐—™๐—น๐—ฎ๐˜€๐—ต ๐—ถ๐˜€ ๐—ต๐—ฒ๐—ฟ๐—ฒ! ๐—ฅ๐—ฒ๐—น๐—ถ๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ช๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€. ๐—•๐—ฒ๐—ฎ๐˜‚๐˜๐—ถ๐—ณ๐˜‚๐—น ๐——๐—ฒ๐˜€๐—ถ๐—ด๐—ป. ๐Ÿง  ๐—ข๐—ณ๐—ณ๐—ถ๐—ฐ๐—ฒ ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ: ๐—Ÿ๐—ผ๐—ป๐—ด-๐˜๐—ฒ๐—ฟ๐—บ ๐—บ๐—ฒ๐—บ๐—ผ๐—ฟ๐˜† & ๐—ฝ๐—ฟ๐—ผ๐—ฎ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ถ๐—ป๐˜๐—ฒ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐˜hat remember your needs and keep tasks moving. ๐ŸŽจ ๐——๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ ๐——๐—ฒ๐˜€๐—ถ๐—ด๐—ป: Animated PPTs, motion posters, interactive websites & editable Blender 3D projects. Beyond content generation โ€” getting things done and delivering polished, ready-to-use results. ๐—ง๐—ฟ๐˜† ๐—ถ๐˜ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ ๐—ผ๐—ป ๐—ฆ๐—ฒ๐—ป๐˜€๐—ฒ๐—ก๐—ผ๐˜ƒ๐—ฎ ๐—ง๐—ผ๐—ธ๐—ฒ๐—ป ๐—ฃ๐—น๐—ฎ๐—ป! ๐—š๐—ฒ๐˜ ๐Ÿญ,๐Ÿฑ๐Ÿฌ๐Ÿฌ ๐—™๐—ฅ๐—˜๐—˜ ๐—”๐—ฃ๐—œ ๐—ฟ๐—ฒ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐˜€ ๐—ฒ๐˜ƒ๐—ฒ๐—ฟ๐˜† ๐Ÿฑ ๐—ต๐—ผ๐˜‚๐—ฟ๐˜€. ๐Ÿ”‘ Get your API key: platform.sensenova.ai ๐Ÿค– Model ID: SenseNova 6.8 Flash ๐Ÿ‘พDiscord: discord.com/invite/BuTXPHmQuโ€ฆ
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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.
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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.
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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.
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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 ๐—ป๐—ผ ๐—น๐˜‚๐—ฐ๐—ธ involved. Let me send you a free course on exactly how to do it. Just Retweet and Comment "YouTube" (must follow)
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Stop generating random AI clips. Start creating videos people actually want to watch. ๐Ÿ‘€ 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. ๐Ÿ‘‡
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1. Creating viral AI influencer videos takes more than great visuals โ€” it requires the right creative workflow. ๐ŸŽฌ 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! ๐Ÿš€
๐Ÿค Paid partnership ยท ๐Ÿค– Made with AI
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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.
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Mark Jason retweeted
Your OCR says itโ€™s doneโ€”but did it get everything right? ๐Ÿค” In high-stakes workflows, even a small error can be costly. ๐Ÿš€ Meet the MiniCPM-OCR suite: an open-source solution to parse fast and guard the results. Two new models: ๐Ÿ”น MiniCPM-OCR 1.0 โ€” SOTA OCR performance and speed at 1B scale. Compact, accurate, and fast. ๐Ÿ”น MiniCPM-OCR Jev โ€” A 2B decision model that helps assess parsing accuracy, with performance approaching that of Qwen3.5-397B-A17B on JevOCRBench. โšก Whatโ€™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 ๐Ÿ›ก๏ธ: 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 ๐Ÿคฏ: With DSpark, MiniCPM-OCR runs at 1.49ร— the speed of PaddleOCR-VL-1.6 and 3.62ร— that of MinerU2.5 Pro. The SDKโ€™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. ๐Ÿ”— GitHub: github.com/OpenBMB/MiniCPM-Oโ€ฆ ๐Ÿค— Hugging Face: MiniCPM-OCR 1.0๏ผšhuggingface.co/openbmb/MiniCโ€ฆ MiniCPM-OCR Jev๏ผšhuggingface.co/openbmb/MiniCโ€ฆ ๐Ÿ‘‰ Try the Demo๏ผšplatform.modelbest.ai/consolโ€ฆ Use the API๏ผšplatform.modelbest.ai/consolโ€ฆ
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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:
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the griffin BTS set is a whole vibe: โ†’ red chairs straight out of 2001: A Space Odyssey โ†’ vintage Macs stacked on the floor โ†’ an AI on the laptop paying attention to everything @tavus knew exactly what they were doing
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:
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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 itโ€™s doneโ€”but did it get everything right? ๐Ÿค” In high-stakes workflows, even a small error can be costly. ๐Ÿš€ Meet the MiniCPM-OCR suite: an open-source solution to parse fast and guard the results. Two new models: ๐Ÿ”น MiniCPM-OCR 1.0 โ€” SOTA OCR performance and speed at 1B scale. Compact, accurate, and fast. ๐Ÿ”น MiniCPM-OCR Jev โ€” A 2B decision model that helps assess parsing accuracy, with performance approaching that of Qwen3.5-397B-A17B on JevOCRBench. โšก Whatโ€™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 ๐Ÿ›ก๏ธ: 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 ๐Ÿคฏ: With DSpark, MiniCPM-OCR runs at 1.49ร— the speed of PaddleOCR-VL-1.6 and 3.62ร— that of MinerU2.5 Pro. The SDKโ€™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. ๐Ÿ”— GitHub: github.com/OpenBMB/MiniCPM-Oโ€ฆ ๐Ÿค— Hugging Face: MiniCPM-OCR 1.0๏ผšhuggingface.co/openbmb/MiniCโ€ฆ MiniCPM-OCR Jev๏ผšhuggingface.co/openbmb/MiniCโ€ฆ ๐Ÿ‘‰ Try the Demo๏ผšplatform.modelbest.ai/consolโ€ฆ Use the API๏ผšplatform.modelbest.ai/consolโ€ฆ
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