MAPUNDA (@Mapunda_01) - Twitterプロフィール

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MAPUNDA@Mapunda_01·6 Şub

It’s been one month since CES 2026, and in case you missed it, this announcement is still one of the most important takeaways. NVIDIA unveiled Vera Rubin, a next gen AI supercomputer with six chips working together to unlock massive AI power. Here are the highlights 👇 #CES2026 🧵

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MAPUNDA@Mapunda_01·7m

@HeyGen @meetgranola Granola simplifying meetings while HeyGen handles content is a smart split

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HeyGen@HeyGen·11h

Multi-tool orchestration inside an agent is the new SaaS dashboard. Proof: HeyGen x @meetgranola inside any agent platform, like Claude. Granola summarizes meetings, HeyGen turns them into video, Claude runs the flow. heygen.com/integrations/g… Check out the full walkthrough

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MAPUNDA@Mapunda_01·12m

If you're still manually moving outputs between tools, you are burning time that your competitors are automating. Granola summarizes. HeyGen produces. Claude orchestrates. The gap is widening. Get in or get left behind.

HeyGen@HeyGen

Multi-tool orchestration inside an agent is the new SaaS dashboard. Proof: HeyGen x @meetgranola inside any agent platform, like Claude. Granola summarizes meetings, HeyGen turns them into video, Claude runs the flow. heygen.com/integrations/g… Check out the full walkthrough

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MAPUNDA@Mapunda_01·42m

3 days. 1 person. 6-minute film. all of it built with invideo agent one. this isn't another "i made this with ai" tweet. it's a 50-minute unedited tutorial below showing every directorial decision, every fix, every setup choice. if you're serious about agentic video, this is the only piece of content that matters this week.

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 tweet👇

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MAPUNDA@Mapunda_01·43m

@invideoOfficial AI is only as good as the direction behind it. This shows what actually matters.

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Invideo@invideoOfficial·11h

Full tutorial of how 'Hachiko', an animated short film was built on invideo Agent One. Learn step-by-step as the creator walks you through it.

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Invideo@invideoOfficial·11h

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 tweet👇

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MAPUNDA@Mapunda_01·11h

@zeely_ai Ride

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Zeely AI@zeely_ai·17h

The way businesses make ads has changed 🐴🎠 Here’s how to create an ad for a stable with Video studio on Zeely. Dial up the lighting, zoom in on the horses, and let the avatar do the talking. Full gallop! 7h only: RT + like + follow + comment “Ride” to get 500 credits.

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MAPUNDA@Mapunda_01·1d

@invideoOfficial This is exactly the kind of workflow shift creatives have been waiting for

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Invideo@invideoOfficial·1d

With Agent One by invideo you get to be the creative director you’ve always wanted to be. You give it the brand world once and it remembers it forever across every generation. Just like that. No re-explaining the same color grade 500 times. No re-feeding it the same talent reference a million times. It does the heavy-lifting so you can make real campaigns.

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MAPUNDA@Mapunda_01·1d

You brief your DP once at pre-pro. You brief your costume team once with the lookbook. You don't re-brief them every shot. InVideo Agent One works the same way. Set the brand. Set the world. Set the tone. Then direct shot by shot. It moves with you, not against you. Context is what makes the agent feel like a crew.

Invideo@invideoOfficial

With Agent One by invideo you get to be the creative director you’ve always wanted to be. You give it the brand world once and it remembers it forever across every generation. Just like that. No re-explaining the same color grade 500 times. No re-feeding it the same talent reference a million times. It does the heavy-lifting so you can make real campaigns.

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MAPUNDA@Mapunda_01·1d

@AntLingAGI The combination of coding and writing capability is practical

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Ant Ling@AntLingAGI·1d

Last week, we introduced Ling-2.6-1T. Today, Ling-2.6-1T is officially an open model~ 🤗 1T total parameters · 63B active parameters We bring values to developers by making it easier to test, deploy, customize, and build. It is optimized to be "token efficiency" for real production needs: • Lower token overhead: strong intelligence without long reasoning traces • Reliable multi-step execution: better instruction, tool, context, and workflow control • Production-ready deployment: from code generation to bug fixing, with broad agent framework compatibility A sneak pick into the agentic capability in @opencode

Ant Ling@AntLingAGI

🚀 Today, we are launching Ling-2.6-1T, a trillion-parameter flagship model designed for precise instruct task execution. By prioritizing a "Fast-Thinking" mechanism, it delivers SOTA intelligence with ultra-low token overhead, making token efficiency a first-class citizen.

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MAPUNDA@Mapunda_01·1d

Been testing a lot of models for agentic coding workflows lately and the biggest bottleneck is always instruction following over long sequences. If Ling actually delivers on "reliable multi step execution" with broad agent framework compatibility, this could become a go to for developer tooling. Need to get my hands on this.

Ant Ling@AntLingAGI

Last week, we introduced Ling-2.6-1T. Today, Ling-2.6-1T is officially an open model~ 🤗 1T total parameters · 63B active parameters We bring values to developers by making it easier to test, deploy, customize, and build. It is optimized to be "token efficiency" for real production needs: • Lower token overhead: strong intelligence without long reasoning traces • Reliable multi-step execution: better instruction, tool, context, and workflow control • Production-ready deployment: from code generation to bug fixing, with broad agent framework compatibility A sneak pick into the agentic capability in @opencode

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MAPUNDA@Mapunda_01·1d

It's open source on hugging face this week, and that's exactly why I'm posting this now. Capable, versatile, and open source to experiment with. That window won't be open forever. Go find out for yourself 👇 huggingface.co/inclusionAI/Li…

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MAPUNDA@Mapunda_01·1d

Here's the big picture: This is a 1 trillion parameter model that handles messy real-world tasks across multiple domains without breaking a sweat. It's not chasing benchmarks. It's built for people who actually use these tools to get things done. Sleeper model energy. In the best way.

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MAPUNDA@Mapunda_01·1d

Not every model that launches is worth your attention. This one is. @AntLingAGI's Ling-2.6-1T is live on hugging face, open source this week, and genuinely useful for real work. Let me tell you why I think more people should be trying it 👇

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