ETERNAL STUDIO AI

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Sometimes engineering and technology too.
The future belongs to those who build it.
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[ETERNAL STUDIO AI @EternalStudioIA]

A benchmark is only useful when people can understand how the results were produced and verify them independently.

That's why StreamEval is worth paying attention to.

StreamEval introduces a leaderboard for interactive streaming video generation, helping
researchers and developers compare models through a more structured evaluation process.

The benchmark covers 5 tasks and includes 300 scripted test cases. It evaluates models
across task execution, state consistency, visual fidelity, and audiovisual coordination, using 10 task-specific metrics scored on a 0–100 scale.

This is particularly important because strong visual output doesn't always mean a model can reliably follow instructions or maintain consistency during real-time interactions.

Another important aspect is reproducibility. StreamEval is open-source, and its
implementation is available on GitHub.
Researchers can inspect the evaluation methodology and reproduce applicable parts of the workflow using the public code and data.

The project was developed by a research team with affiliations spanning Tsinghua University,
NVIDIA, Carnegie Mellon University, UC Berkeley, Princeton University, the National University of Singapore, and Reactor.

AI companies and model developers can also submit their API endpoints to have their
systems evaluated against the benchmark.

For researchers, developers, and others tracking interactive video AI, transparent benchmarks make it easier to distinguish measurable progress from impressive demonstrations.

Explore the leaderboard: https://t.co/aM4f5X5VRH

What do you think is the hardest problem to solve in real-time interactive video AI?

#StreamEval #StreamEvalBenchmark #InteractiveVideo

[ETERNAL STUDIO AI @EternalStudioIA]

@YouArtStudio Love the idea of combining powerful AI agents with professional editing tools. Definitely a big upgrade for creative workflows!

[ETERNAL STUDIO AI @EternalStudioIA]

YouArt Desktop is bringing AI directly into your creative workflow!

From video editing to managing client feedback, AI agents can handle multiple tasks across your favorite creative apps. Plus, smart routing helps you create more while spending less.

[YouArt @YouArtStudio]

Introducing the YouArt Desktop App: your AI creative teammate on your computer.

It uses the best LLMs like Fable 5.2 to make creatives. It can operate creative software on your computer, including CapCut, DaVinci Resolve, Adobe Premiere and many more.

It brings client feedback onto a native canvas, and you can ask agents to address all the comments while you have a coffee.

It’s the most cost-efficient video agent. It supports all third-party API keys and uses smart routing to send every clip to the cheapest provider.

Have fun!

[YouArt @YouArtStudio]

Introducing the YouArt Desktop App: your AI creative teammate on your computer.

It uses the best LLMs like Fable 5.2 to make creatives. It can operate creative software on your computer, including CapCut, DaVinci Resolve, Adobe Premiere and many more.

It brings client feedback onto a native canvas, and you can ask agents to address all the comments while you have a coffee.

It’s the most cost-efficient video agent. It supports all third-party API keys and uses smart routing to send every clip to the cheapest provider.

Have fun!

[ETERNAL STUDIO AI @EternalStudioIA]

Want to uncover your competitors' growth secrets?

GrowthPeel reveals their viral content, active ads, and marketing strategies.

We tested it on Lovable and found a Reel with 4.3M views!

[Mimi @mimies_tech]

Introducing ChatGPT for competitor research.

Drop in any rival’s website. GrowthPeel shows you exactly how they grew:
→ The exact reels, with views and when they were posted
→ The exact ads they’re running
→ The exact timeline of what they did and when

We ran it on Lovable. Their biggest reel has 4.3M plays, and a creator made it.

[Mimi @mimies_tech]

Introducing ChatGPT for competitor research.

Drop in any rival’s website. GrowthPeel shows you exactly how they grew:
→ The exact reels, with views and when they were posted
→ The exact ads they’re running
→ The exact timeline of what they did and when

We ran it on Lovable. Their biggest reel has 4.3M plays, and a creator made it.

[ETERNAL STUDIO AI @EternalStudioIA]

If you work in marketing, don't just study ads.

Build a wider toolkit:

🛍️ Understand digital marketing + e-commerce:
https://t.co/eIaGBO4DdR

📊 Read campaign data:
https://t.co/uaW4KLSyeK

🤖 Use AI in your workflow:
https://t.co/vpRPfOlmnC

The best combination is creative thinking + measurement + efficient execution.

Here are 3 structured programs to explore. Save the links. #ad
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[ETERNAL STUDIO AI @EternalStudioIA]

How does Manta handle massive coding tasks?

The team tested it with 7.4 million tokens of real coding history, covering 31,450 messages of experiments, logs, and bug fixes.

A major test of how much context Manta can actually handle.

[Empero @EmperoAI]

Many questioned how well Manta performs under actual load.

So we gave it some: a real 7.4-million-token coding session, logged from a current frontier agent. 31,450 messages of training runs, logs and fixes.

We cut it, and let Manta write the next turn. ↓

[Empero @EmperoAI]

Many questioned how well Manta performs under actual load.

So we gave it some: a real 7.4-million-token coding session, logged from a current frontier agent. 31,450 messages of training runs, logs and fixes.

We cut it, and let Manta write the next turn. ↓

[ETERNAL STUDIO AI @EternalStudioIA]

Meet Manta, a new long-context AI model built to handle massive amounts of information.

It can process up to 100 million tokens in a single prompt while keeping all the context.

Early access is coming soon. Definitely one to watch!

[Empero @EmperoAI]

Introducing Manta, our long-context model.

Everything you give it, it keeps. Manta reads a hundred million tokens in one prompt.

Early access opens soon: https://t.co/ugt3N8h3lq

🧵

[Empero @EmperoAI]

Introducing Manta, our long-context model.

Everything you give it, it keeps. Manta reads a hundred million tokens in one prompt.

Early access opens soon: https://t.co/ugt3N8h3lq

🧵

[ETERNAL STUDIO AI @EternalStudioIA]

More resources to explore StreamEval:

🌐 Leaderboard: https://t.co/iFXNo5rFD4

📄 Research Paper: https://t.co/mENLRfn8xz

💻 GitHub Code: https://t.co/kHNGjbJar6

🤗 Hugging Face Dataset: https://t.co/Yh8Cv6Y62U

📊 ModelScope Dataset: https://t.co/oF3SiAKNgL

[ETERNAL STUDIO AI @EternalStudioIA]

A benchmark is only useful when people can understand how the results were produced and verify them independently.

That's why StreamEval is worth paying attention to.

StreamEval introduces a leaderboard for interactive streaming video generation, helping
researchers and developers compare models through a more structured evaluation process.

The benchmark covers 5 tasks and includes 300 scripted test cases. It evaluates models
across task execution, state consistency, visual fidelity, and audiovisual coordination, using 10 task-specific metrics scored on a 0–100 scale.

This is particularly important because strong visual output doesn't always mean a model can reliably follow instructions or maintain consistency during real-time interactions.

Another important aspect is reproducibility. StreamEval is open-source, and its
implementation is available on GitHub.
Researchers can inspect the evaluation methodology and reproduce applicable parts of the workflow using the public code and data.

The project was developed by a research team with affiliations spanning Tsinghua University,
NVIDIA, Carnegie Mellon University, UC Berkeley, Princeton University, the National University of Singapore, and Reactor.

AI companies and model developers can also submit their API endpoints to have their
systems evaluated against the benchmark.

For researchers, developers, and others tracking interactive video AI, transparent benchmarks make it easier to distinguish measurable progress from impressive demonstrations.

Explore the leaderboard: https://t.co/aM4f5X5VRH

What do you think is the hardest problem to solve in real-time interactive video AI?

#StreamEval #StreamEvalBenchmark #InteractiveVideo

[ETERNAL STUDIO AI @EternalStudioIA]

Email is becoming more than just a place to read messages.

Sol turns your inbox into a workspace, handling the busywork of finding information, connecting details, and preparing tasks so you can focus on decisions instead of searching everywhere.

Less back and forth. More work getting done.

Something worth keeping an eye on.

Waitlist: https://t.co/XapDDGCzBC

[Sudip @sudiprokaya]

Been trying Sol, and it's changed how I think about email.

Email has always been where work arrives, not where it gets done. Someone sends two lines, and the real job starts somewhere else. Find the old thread, find the doc, pull the numbers, put it together, then come back and reply.

Sol does that part. It finds the tasks and commitments in my email, gathers the context, and gets the work ready for me to review. I approve it or change it.

I think this is how email should have worked all along.

Waitlist: https://t.co/2qG4qLbdLt

[Sudip @sudiprokaya]

Been trying Sol, and it's changed how I think about email.

Email has always been where work arrives, not where it gets done. Someone sends two lines, and the real job starts somewhere else. Find the old thread, find the doc, pull the numbers, put it together, then come back and reply.

Sol does that part. It finds the tasks and commitments in my email, gathers the context, and gets the work ready for me to review. I approve it or change it.

I think this is how email should have worked all along.

Waitlist: https://t.co/2qG4qLbdLt

[ETERNAL STUDIO AI @EternalStudioIA]

Gemini understood the assignment. 💀

Claude played it safe. GPT-6.1 Terra couldn’t even fit the whole phone in the frame.

Gemini takes this round. No debate.

Which one are you buying?

[AiMind @AIMind_Ai]

Gave Claude Opus 5.5, Gemini 4 Argon and GPT-6.1 Terra one prompt: recreate the legendary Nokia 3310 as if it was made in 2026.

One of them refused to copy it and built its own phone. Gemini went straight for the real thing. GPT-6.1 Terra got a second try and still cut off half the phone. What the fuck, GPT?

Which one would you buy?

[Sudip @sudiprokaya]

finally. claude code can just do outbound natively now

point it at your ICP and it finds the companies, the right person, and a verified work email. you only pay when it actually finds one

27 people, 20 verified emails, $0.58 total.

It's cheap and fast.

we’ve been paying way too much for lead gen at simi lol. congrats @treg_ai

And the best thing is it's Opensource.

[ETERNAL STUDIO AI @EternalStudioIA]

Claude Code just made outbound easier. Find leads, get verified emails, and save money. All open source. 🚀

[Sudip @sudiprokaya]

finally. claude code can just do outbound natively now

point it at your ICP and it finds the companies, the right person, and a verified work email. you only pay when it actually finds one

27 people, 20 verified emails, $0.58 total.

It's cheap and fast.

we’ve been paying way too much for lead gen at simi lol. congrats @treg_ai

And the best thing is it's Opensource.

[ETERNAL STUDIO AI @EternalStudioIA]

If you're planning Halloween product content, CapCut PC is worth exploring. CapCut Desktop Pro is 60% off and Ultra is 40% off, and October 30 is the last day of the Black Friday deal. I tested AI Video with just one product image and generated multiple Halloween-inspired scenes around it. Different settings, different moods, same product. Then I used AI Edit to tweak individual details without starting the whole video over. One image, multiple creative directions. Pretty useful for small business content. https://t.co/KnNIfmEM5p #capcutpc #capcutmarketing #capcutblackfriday #capcutsale

[AJ Hosny @AjHosny]

Meet Luka Sorrento. He doesn't exist.

At Flayr Labs we've been doing R&D on AI music and video generation, and we wanted to answer one question: can AI make a music video that actually makes you feel something?

So we ran an experiment. Luka's song, "Don't Call Me When the Quiet Gets Too Loud," is fully AI-generated, and so is his music video, start to finish. It puts him in recreations of 25 iconic music videos, from Thriller to HUMBLE. to Otis, as a tribute to the videos that shaped all of us.

What it took:
• Music: Suno ($8/mo plan)
• Stills: Nano Banana, keeping Luka's face consistent across every scene
• Motion: Kling and Veo 3.1
• Lip-sync: sync-3 and Hedra, fed an isolated vocal track
• Generation spend: about $160, plus a share of a $100/mo Hedra plan we use across other projects
• Time: 2 days

By the numbers:
• 34 original music videos studied frame by frame
• 120+ stills generated
• ~175 AI video and lip-sync renders
• 100+ takes thrown away
• ~15 scenes swapped out entirely
• 45 shots in the final cut

What worked:
• Medium shots with clean light and small movements look close to real
• Studying the real footage before generating anything. Scenes built from memory looked nothing like the originals
• Isolating the vocal from the mix made lip-sync dramatically better

What didn't:
• Lip-sync falls apart when the head turns or moves fast
• Editing real frames sometimes kept the original artist's face, so we rebuilt those from scratch
• Logos we removed would grow back mid-render and had to be tracked and painted out frame by frame
• More than half of what we generated never made the cut

Our take: under $300 all in and two days for a fully AI artist, song and music video. It's already watchable, and the quality gap with traditional production is closing fast. But taste, direction and judgment still do the heavy lifting.

The tools generate. A person still has to decide what's good.

Is AI music viable? Did Luka make you feel something?
Watch and tell us.