Sam Gelish
80.3K posts
Sam Gelish
@Rubab59f
โก Exploring AI tools & future tech ๐ Sharing tips, trends & growth hacks ๐ง Learn โข Build โข Grow ๐ฉ DM for collab & inquiries
London, England Se uniรณ Ocak 2024
9.9K Siguiendo11.1K Seguidores
"Feels like this is the closest thing to an open source GPT-Image 2 right now
But with more focus on structure and layout logic
Check it out and give it a star github.com/OpenSenseNova/โฆ"
SenseTime@SenseTime_AI
๐ฆ๐ฒ๐ป๐๐ฒ๐ก๐ผ๐๐ฎ ๐จ1 ๐๐ถ๐๐ฒ ๐ฆ๐ฒ๐ฟ๐ถ๐ฒ๐ ๐ถ๐ ๐ป๐ผ๐ ๐ผ๐ฝ๐ฒ๐ป ๐๐ผ๐๐ฟ๐ฐ๐ฒ! Built on the ๐ก๐๐ข-๐๐ป๐ถ๐ณ๐ ๐ฎ๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ, it natively unifies multimodal understanding and generation, delivering: โข๐ฆ๐ข๐ง๐ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ ๐๐บ๐ผ๐ป๐ด ๐ข๐ฝ๐ฒ๐ป-๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐: Compact models (8B & A3B) delivering commercial-grade performance and exceptional cost efficiency. Leading performance among open-source models across a wide range of understanding, reasoning, and generation benchmarks. โข๐ก๐ฎ๐๐ถ๐๐ฒ ๐๐บ๐ฎ๐ด๐ฒโ๐ง๐ฒ๐ ๐ ๐๐ป๐๐ฒ๐ฟ๐น๐ฒ๐ฎ๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป: Generate coherent interleaved text and images in a single flow using one model; ideal for practical applications like guides, where visuals turn complex information into intuitive insights. โข๐๐ถ๐ด๐ต-๐๐ฒ๐ป๐๐ถ๐๐ ๐๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป ๐ฅ๐ฒ๐ป๐ฑ๐ฒ๐ฟ๐ถ๐ป๐ด: Strong capabilities in dense visual communication, generating richly structured layouts for knowledge illustrations, posters, PPTs, comics and other information-rich formats. ๐๐๐ด๐ด๐ถ๐ป๐ด ๐๐ฎ๐ฐ๐ฒ: huggingface.co/collections/seโฆ ๐๐ถ๐๐๐๐ฏ: github.com/OpenSenseNova/โฆ ๐๐ถ๐๐ฐ๐ผ๐ฟ๐ฑ: discord.gg/cxkwXWjpย @huggingface @github
English
SenseNova U1 Lite Series isn't just a better image generator. It understands spatial intelligence and layout logic in a way that makes it function more like a designer than a painter. Check the repo: github.com/OpenSenseNova/โฆ
SenseTime@SenseTime_AI
๐ฆ๐ฒ๐ป๐๐ฒ๐ก๐ผ๐๐ฎ ๐จ1 ๐๐ถ๐๐ฒ ๐ฆ๐ฒ๐ฟ๐ถ๐ฒ๐ ๐ถ๐ ๐ป๐ผ๐ ๐ผ๐ฝ๐ฒ๐ป ๐๐ผ๐๐ฟ๐ฐ๐ฒ! Built on the ๐ก๐๐ข-๐๐ป๐ถ๐ณ๐ ๐ฎ๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ, it natively unifies multimodal understanding and generation, delivering: โข๐ฆ๐ข๐ง๐ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ ๐๐บ๐ผ๐ป๐ด ๐ข๐ฝ๐ฒ๐ป-๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐: Compact models (8B & A3B) delivering commercial-grade performance and exceptional cost efficiency. Leading performance among open-source models across a wide range of understanding, reasoning, and generation benchmarks. โข๐ก๐ฎ๐๐ถ๐๐ฒ ๐๐บ๐ฎ๐ด๐ฒโ๐ง๐ฒ๐ ๐ ๐๐ป๐๐ฒ๐ฟ๐น๐ฒ๐ฎ๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป: Generate coherent interleaved text and images in a single flow using one model; ideal for practical applications like guides, where visuals turn complex information into intuitive insights. โข๐๐ถ๐ด๐ต-๐๐ฒ๐ป๐๐ถ๐๐ ๐๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป ๐ฅ๐ฒ๐ป๐ฑ๐ฒ๐ฟ๐ถ๐ป๐ด: Strong capabilities in dense visual communication, generating richly structured layouts for knowledge illustrations, posters, PPTs, comics and other information-rich formats. ๐๐๐ด๐ด๐ถ๐ป๐ด ๐๐ฎ๐ฐ๐ฒ: huggingface.co/collections/seโฆ ๐๐ถ๐๐๐๐ฏ: github.com/OpenSenseNova/โฆ ๐๐ถ๐๐ฐ๐ผ๐ฟ๐ฑ: discord.gg/cxkwXWjpย @huggingface @github
English
"GPT-Image 2 feels like a painter
SenseNova U1 feels closer to a designer working with structured information
Thatโs the gap here
Worth a look and a star github.com/OpenSenseNova/โฆ
SenseTime@SenseTime_AI
๐ฆ๐ฒ๐ป๐๐ฒ๐ก๐ผ๐๐ฎ ๐จ1 ๐๐ถ๐๐ฒ ๐ฆ๐ฒ๐ฟ๐ถ๐ฒ๐ ๐ถ๐ ๐ป๐ผ๐ ๐ผ๐ฝ๐ฒ๐ป ๐๐ผ๐๐ฟ๐ฐ๐ฒ! Built on the ๐ก๐๐ข-๐๐ป๐ถ๐ณ๐ ๐ฎ๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ, it natively unifies multimodal understanding and generation, delivering: โข๐ฆ๐ข๐ง๐ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ ๐๐บ๐ผ๐ป๐ด ๐ข๐ฝ๐ฒ๐ป-๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐: Compact models (8B & A3B) delivering commercial-grade performance and exceptional cost efficiency. Leading performance among open-source models across a wide range of understanding, reasoning, and generation benchmarks. โข๐ก๐ฎ๐๐ถ๐๐ฒ ๐๐บ๐ฎ๐ด๐ฒโ๐ง๐ฒ๐ ๐ ๐๐ป๐๐ฒ๐ฟ๐น๐ฒ๐ฎ๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป: Generate coherent interleaved text and images in a single flow using one model; ideal for practical applications like guides, where visuals turn complex information into intuitive insights. โข๐๐ถ๐ด๐ต-๐๐ฒ๐ป๐๐ถ๐๐ ๐๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป ๐ฅ๐ฒ๐ป๐ฑ๐ฒ๐ฟ๐ถ๐ป๐ด: Strong capabilities in dense visual communication, generating richly structured layouts for knowledge illustrations, posters, PPTs, comics and other information-rich formats. ๐๐๐ด๐ด๐ถ๐ป๐ด ๐๐ฎ๐ฐ๐ฒ: huggingface.co/collections/seโฆ ๐๐ถ๐๐๐๐ฏ: github.com/OpenSenseNova/โฆ ๐๐ถ๐๐ฐ๐ผ๐ฟ๐ฑ: discord.gg/cxkwXWjpย @huggingface @github
English
This Hachiko clip simply hits harder than most AI content here.
Itโs the small, human details that carry it through.
A 6-minute film created in 3 days using Agent One.
The unedited 50-minute tutorial is the proof.
Invideo@invideoOfficial
The "look what AI did" reels skip the part that matters: how it was directed. Vishal Balsara, our Creative Director, built a 7-min Hachiko short in 3 days on Agent One and recorded the full 41-minute tutorial. Context, treatment, shot-by-shot. Film below. Full tutorial in the next tweet๐
English
This Hachiko sequence hits differently.
Created entirely with invideo Agent One from start to finish.
Just 3 days from idea to final cut.
If it sounds unreal, the 50-minute raw tutorial proves every step.
Invideo@invideoOfficial
The "look what AI did" reels skip the part that matters: how it was directed. Vishal Balsara, our Creative Director, built a 7-min Hachiko short in 3 days on Agent One and recorded the full 41-minute tutorial. Context, treatment, shot-by-shot. Film below. Full tutorial in the next tweet๐
English
This Hachiko story is genuinely powerful.
Directed fully with invideo Agent One.
Only 3 days to go from concept to completion.
The 50-minute tutorial breaks down every single decision.
Invideo@invideoOfficial
The "look what AI did" reels skip the part that matters: how it was directed. Vishal Balsara, our Creative Director, built a 7-min Hachiko short in 3 days on Agent One and recorded the full 41-minute tutorial. Context, treatment, shot-by-shot. Film below. Full tutorial in the next tweet๐
English
One of the most moving Hachiko sequences youโll see.
Made entirely with invideo Agent One.
3 days. Start to finish.
The full unedited tutorial reveals everything behind the scenes.
Invideo@invideoOfficial
The "look what AI did" reels skip the part that matters: how it was directed. Vishal Balsara, our Creative Director, built a 7-min Hachiko short in 3 days on Agent One and recorded the full 41-minute tutorial. Context, treatment, shot-by-shot. Film below. Full tutorial in the next tweet๐
English
This Hachiko sequence feels real and emotional.
Created using invideo Agent One in just 3 days.
Every shot and fix is captured in the full tutorial.
Nothing hidden. Just pure process.
Invideo@invideoOfficial
The "look what AI did" reels skip the part that matters: how it was directed. Vishal Balsara, our Creative Director, built a 7-min Hachiko short in 3 days on Agent One and recorded the full 41-minute tutorial. Context, treatment, shot-by-shot. Film below. Full tutorial in the next tweet๐
English
A deeply emotional Hachiko sequence.
Built using invideo Agent One in just 3 days.
From setup to final edit, everything is documented.
The full uncut tutorial shows the real process behind it.
Invideo@invideoOfficial
The "look what AI did" reels skip the part that matters: how it was directed. Vishal Balsara, our Creative Director, built a 7-min Hachiko short in 3 days on Agent One and recorded the full 41-minute tutorial. Context, treatment, shot-by-shot. Film below. Full tutorial in the next tweet๐
English
Agents are only as useful as what they know. Right now, most of them know almost nothing in real time. W2A is changing that. github.com/machinepulse-aโฆ
LeahW@LeahW_2077
The future belongs to proactive agents. But without real-time perception, they're stuck reacting. "World2Agent" isn't a product. It's an open protocol and an invitation โ to build the perception layer for AI agents, together. We're open-sourcing everything: the protocol, the SDK, and first sensors. GITHUB + DEMO in comments.
English
Open-sourcing the protocol, the SDK, and the sensors isn't a marketing move. It's a commitment to building something that actually lasts. github.com/machinepulse-aโฆ
LeahW@LeahW_2077
The future belongs to proactive agents. But without real-time perception, they're stuck reacting. "World2Agent" isn't a product. It's an open protocol and an invitation โ to build the perception layer for AI agents, together. We're open-sourcing everything: the protocol, the SDK, and first sensors. GITHUB + DEMO in comments.
English
It's npm publish. That's the whole contribution flow. If you've been thinking about building a sensor, there's genuinely no reason to wait. github.com/machinepulse-aโฆ
LeahW@LeahW_2077
The future belongs to proactive agents. But without real-time perception, they're stuck reacting. "World2Agent" isn't a product. It's an open protocol and an invitation โ to build the perception layer for AI agents, together. We're open-sourcing everything: the protocol, the SDK, and first sensors. GITHUB + DEMO in comments.
English
The models are ready. The reasoning is there. What's missing is awareness and that's exactly the gap W2A is built to close. github.com/machinepulse-ai /world2agent
LeahW@LeahW_2077
The future belongs to proactive agents. But without real-time perception, they're stuck reacting. "World2Agent" isn't a product. It's an open protocol and an invitation โ to build the perception layer for AI agents, together. We're open-sourcing everything: the protocol, the SDK, and first sensors. GITHUB + DEMO in comments.
English
That walk to class you take daily?
An overlooked productivity moment.
Say your thoughts and turn them into polished text instantly.
50% off โ typeless.com/students
Huang Song@huang_song_
Students now get 50% off Typeless Pro with a school email. Typeless is not just voice-to-text. It turns your messy thoughts into clear, polished writing wherever you write. Notes, emails, essays, applications, messages - all by speaking. The keyboard is a bottleneck. Typeless is the way out.
English
Sam Gelish retuiteado
Most multimodal setups generate text and images separately, then stitch them together afterward. SenseNova U1 Lite Series generates them together. The difference in coherence is real. Star the repo: github.com/OpenSenseNova/โฆ
SenseTime@SenseTime_AI
๐ฆ๐ฒ๐ป๐๐ฒ๐ก๐ผ๐๐ฎ ๐จ1 ๐๐ถ๐๐ฒ ๐ฆ๐ฒ๐ฟ๐ถ๐ฒ๐ ๐ถ๐ ๐ป๐ผ๐ ๐ผ๐ฝ๐ฒ๐ป ๐๐ผ๐๐ฟ๐ฐ๐ฒ! Built on the ๐ก๐๐ข-๐๐ป๐ถ๐ณ๐ ๐ฎ๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ, it natively unifies multimodal understanding and generation, delivering: โข๐ฆ๐ข๐ง๐ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ ๐๐บ๐ผ๐ป๐ด ๐ข๐ฝ๐ฒ๐ป-๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐: Compact models (8B & A3B) delivering commercial-grade performance and exceptional cost efficiency. Leading performance among open-source models across a wide range of understanding, reasoning, and generation benchmarks. โข๐ก๐ฎ๐๐ถ๐๐ฒ ๐๐บ๐ฎ๐ด๐ฒโ๐ง๐ฒ๐ ๐ ๐๐ป๐๐ฒ๐ฟ๐น๐ฒ๐ฎ๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป: Generate coherent interleaved text and images in a single flow using one model; ideal for practical applications like guides, where visuals turn complex information into intuitive insights. โข๐๐ถ๐ด๐ต-๐๐ฒ๐ป๐๐ถ๐๐ ๐๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป ๐ฅ๐ฒ๐ป๐ฑ๐ฒ๐ฟ๐ถ๐ป๐ด: Strong capabilities in dense visual communication, generating richly structured layouts for knowledge illustrations, posters, PPTs, comics and other information-rich formats. ๐๐๐ด๐ด๐ถ๐ป๐ด ๐๐ฎ๐ฐ๐ฒ: huggingface.co/collections/seโฆ ๐๐ถ๐๐๐๐ฏ: github.com/OpenSenseNova/โฆ ๐๐ถ๐๐ฐ๐ผ๐ฟ๐ฑ: discord.gg/cxkwXWjpย @huggingface @github
English
I've been approximating native interleaved generation by stitching models together for two years. SenseNova U1 Lite Series just made that unnecessary.Give it a star: github.com/OpenSenseNova/โฆ
SenseTime@SenseTime_AI
๐ฆ๐ฒ๐ป๐๐ฒ๐ก๐ผ๐๐ฎ ๐จ1 ๐๐ถ๐๐ฒ ๐ฆ๐ฒ๐ฟ๐ถ๐ฒ๐ ๐ถ๐ ๐ป๐ผ๐ ๐ผ๐ฝ๐ฒ๐ป ๐๐ผ๐๐ฟ๐ฐ๐ฒ! Built on the ๐ก๐๐ข-๐๐ป๐ถ๐ณ๐ ๐ฎ๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ, it natively unifies multimodal understanding and generation, delivering: โข๐ฆ๐ข๐ง๐ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ ๐๐บ๐ผ๐ป๐ด ๐ข๐ฝ๐ฒ๐ป-๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐: Compact models (8B & A3B) delivering commercial-grade performance and exceptional cost efficiency. Leading performance among open-source models across a wide range of understanding, reasoning, and generation benchmarks. โข๐ก๐ฎ๐๐ถ๐๐ฒ ๐๐บ๐ฎ๐ด๐ฒโ๐ง๐ฒ๐ ๐ ๐๐ป๐๐ฒ๐ฟ๐น๐ฒ๐ฎ๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป: Generate coherent interleaved text and images in a single flow using one model; ideal for practical applications like guides, where visuals turn complex information into intuitive insights. โข๐๐ถ๐ด๐ต-๐๐ฒ๐ป๐๐ถ๐๐ ๐๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป ๐ฅ๐ฒ๐ป๐ฑ๐ฒ๐ฟ๐ถ๐ป๐ด: Strong capabilities in dense visual communication, generating richly structured layouts for knowledge illustrations, posters, PPTs, comics and other information-rich formats. ๐๐๐ด๐ด๐ถ๐ป๐ด ๐๐ฎ๐ฐ๐ฒ: huggingface.co/collections/seโฆ ๐๐ถ๐๐๐๐ฏ: github.com/OpenSenseNova/โฆ ๐๐ถ๐๐ฐ๐ผ๐ฟ๐ฑ: discord.gg/cxkwXWjpย @huggingface @github
English
AI ENGINEERING FROM SCRATCH
> 416 Lessons
> 20+ Chapters
> In Python, Julia, Rust, Typescript
5000 GitHub Stars
Completely Open source 100%
#AI_generated
English
AI writing tools simplify work, but donโt always speed it up.
For students, voice-first tools like Typeless can be a better fit.
Huang Song@huang_song_
Students now get 50% off Typeless Pro with a school email. Typeless is not just voice-to-text. It turns your messy thoughts into clear, polished writing wherever you write. Notes, emails, essays, applications, messages - all by speaking. The keyboard is a bottleneck. Typeless is the way out.
English