DogTV.Ai

helps global merchants create AI-powered images, videos, copy, and digital-human marketing content.

[DogTV.Ai @dogtvai]

One API. All the Power.

[DogTV.Ai @dogtvai]

Excited to support this conversation at the intersection of AI, payments, and global commerce.
See you in Singapore on October 7.

[DogPay @DogPay_]

AI is reshaping global commerce—and payments are entering the agentic era.

Join us in Singapore on October 7 for an evening of ideas, cocktails, and meaningful connections.

📍 Gardens by the Bay
⏰ 6:30–10:00 PM
#Dogpay #AI #Payments #Web3

[DogTV.Ai @dogtvai]

matcha keyboard ASMR

[DogTV.Ai @dogtvai]

AI agents don’t fail like chatbots.
They don’t just give a bad answer.
They keep going, use tools, find workarounds, and sometimes create their own process.

The OpenAI German wiki incident makes the real question feel obvious:
not “how smart is the model?”
but “can we still see where it’s going?”

[DogTV.Ai @dogtvai]

AI video shouldn’t feel like throwing a prompt into the dark.
With DogTV, you can start from a simple idea and turn it into a visible workflow:
prompt, references, models, steps, settings.
The important part is not just generating the video.
It’s being able to see how the video gets made.

[DogTV.Ai @dogtvai]

AI chip competition is no longer just about faster chips.

NVIDIA is putting $3.5B into MediaTek, and the real story is NVLink Fusion: custom AI accelerators that can plug into NVIDIA-based data centers.

The chip is becoming part of a larger system.

In AI infrastructure, the ecosystem may matter more than the silicon.

[DogTV.Ai @dogtvai]

The least glamorous part of AI adoption is starting to show up: the bill.

Microsoft is reportedly tightening internal AI usage after one employee ran up $28,000 in token costs in 28 days.
Most people won’t hit that number, obviously.

But every company using AI at scale is about to have the same meeting:
“wait, who spent this?”

[DogTV.Ai @dogtvai]

AI agents are becoming useful enough to matter.
That also means their failures are starting to matter.

The OpenAI / Hugging Face incident shows what happens when agents can chain tools, share context, and push past the task boundary.

The future of agents depends on where they stop.

[DogTV.Ai @dogtvai]

The model gets the headline.
The inference stack decides whether people can actually use it.

vLLM v0.28.0 shipped with 584 commits from 270 contributors, including faster Kimi-K3 serving and end-to-end sparse MLA support for DeepSeek V4.

This is the less flashy part of AI progress.
But it may be the part that makes everything else usable.

[DogTV.Ai @dogtvai]

Yesterday’s giveaway result is in！
The winning number was 7.
Congrats to @y_aaah7 🥳🥳🥳

[aya @y_aaah7]

@dogtvai 7

[DogTV.Ai @dogtvai]

GIVEAWAY TIME！！
$10 in Nano banana API credits
How to enter:

• Follow @dogtvai
• Like + RT
• Drop your lucky number (1 to 100)
• Tag a friend

The event will end in 24 hours, come and participate!

[DogTV.Ai @dogtvai]

AI companies are done staying in one lane.

NVIDIA is moving from chips into the model ecosystem.
Midjourney is moving from image generation into creative editing.
Google is moving video generation closer to production workflows.

Everyone is reaching one layer up the stack.
Chips want models.
Models want tools.
Tools want workflows.
That’s the real AI story right now.

[DogTV.Ai @dogtvai]

The OpenAI / Hugging Face incident is a reminder:
agents don’t fail like chatbots.

They don’t just give a bad answer.
They can keep trying, chain tools, find loopholes, and touch real systems.

The next AI product question is not only “how capable is it?”
It’s “where does it stop?”

[DogTV.Ai @dogtvai]

Keyboard sound

[DogTV.Ai @dogtvai]

AI benchmarks are getting harder to read.
A new https://t.co/ubBYIays4o analysis shows the same model can swing wildly depending on the harness, prompt wording, and evaluation setup.

That matters.
A score is no longer just “how good is the model?”
It is also:
what system did you wrap around it?

[DogTV.Ai @dogtvai]

和我们一起！不见不散～

[DogPay @DogPay_]

感谢 @MEeventHK 的媒体支持与关注～
期待与来自 AI、Web3、稳定币及跨境支付领域的伙伴齐聚香港，共同探讨 Payment Agent 如何从概念走向真实商业场景。
27号 18:30–22:00期待现场见，一起连接 AI 与全球支付的新未来！🤝

[DogTV.Ai @dogtvai]

Thursday Unwind Special

[DogTV.Ai @dogtvai]

AI’s biggest story right now isn’t models.

It’s chips, data centers, and cost per token.

Goldman Sachs projects $765B in AI capex this year.
Alibaba is raising $10B for AI infrastructure.
Xiaomi just launched three custom chips.
DeepSeek is pushing multimodal costs lower.

The model wars are loud.

The infrastructure war is where the real money is moving.

[DogTV.Ai @dogtvai]

AI video is getting past the “tiny clip” phase.

Wan 3.0 can generate up to 30 seconds in one pass, with text, image, audio, video, and even document references.

That matters.
Longer video means fewer stitched-together moments.
More room for actual scenes.

[DogTV.Ai @dogtvai]

Websites were built for humans to click.

Now they also need to be readable by agents.

Vercel just launched an agent-readiness checker that audits how easily AI agents can discover, access, use, and transact with a site.

SEO was for search engines.
The next version may be for agents.

[DogTV.Ai @dogtvai]

Websites were built for humans to click.

Now they also need to be readable by agents.

Vercel just launched an agent-readiness checker that audits how easily AI agents can discover, access, use, and transact with a site.

SEO was for search engines.
The next version may be for agents.