2TInteractive/ WATCH
← THE NEWSROOM

EPISODE 42 · THE WORLD, DECODED

China tests powerful AI that could one day be used on submarines

The Newsroom · 29 October 2026. Deep-sea AI, graphics-card pricing and an introduction to open weights.

Answer the community question ↓

Visit our YouTube channel ↗ · YouTube hosts this video. Loading the player connects to YouTube. Open on YouTube ↗

TAKE THE STORY WITH YOU

Prefer to listen?

The original episode narration, without the screen.

INSIDE THIS EPISODE

The rundown.

Read the full script ↗
00:00BUMPER+

THE NEWSROOM - WHAT HAPPENED WHILE YOU SLEPT

00:01INTRO+

Welcome back to The Newsroom, where we decode what happened while you were sleeping. We’ve got deep-sea AI advancements, some seriously pricey graphics cards, and a few bits of open-weights drama to s

00:13STORY 1+

While you were sleeping, China tested powerful AI alongside deep-sea trials, and it changes everything for defense tech. They showcased advanced artificial intelligence integrated with an upgraded Jia

00:46STORY 2+

Team USA shipped advanced satellite imagery analysis capabilities while Team China demonstrated powerful AI integration deep within a submersible. This head to head comparison shows two distinct vecto

01:10STORY 3+

Mistral’s Large 4 open weights models are making waves, claiming a coding lead over some of the competition. They suggest, quite confidently, that there's nothing you can't accomplish with this partic

01:25STORY 4+

And finally, for the tech relics section, we must address the floppy disk drive. Yes, it was once a point of intense discussion, a necessary intermediary in the early digital ecosystem. We are now mov

01:47STORY 5+

While you were sleeping, China tested powerful AI alongside deep-sea trials of its upgraded submersible, suggesting military applications for advanced AI integration. We see reports of Nvidia pricing

02:12AI 101+

Today we are taking a brief detour into the mechanics of Large Language Models, specifically open weights. Think of an open weights model like a recipe that anyone can see and modify, rather than a se

02:30OUTRO+

And that is the state of the silicon landscape for tonight. From submersible AI to open weights models that are frankly, a bit much. We covered the geopolitical currents, the market corrections, and t

AUDIENCEPULSE / YOUR SEAT AT THE TABLE

The story doesn’t
end with the credits.

What caught your attention? What should we explore next? Join the community and add your perspective to the conversation.

Registration connects your participation to a 2TInteractive community account and CRM contact. Newsletters and app updates are optional.

COMMUNITY QUESTION

Loading the community question…

One vote per registered account. Community responses are informal and are not a representative survey.

2TI CASTWEAVE / A WORKING SHOWCASE

Your programmes.
Your audience.
A closer connection.

You’ve just seen the experience. Imagine it with your brand, your shows and your viewers.

Bring your programme library into one viewing destination. Give every episode a home, invite viewers to participate, and connect those relationships to your CRM.

  1. Give your catalogue a front door.Branded show collections, episode pages and YouTube-hosted viewing.
  2. Turn attention into participation.AudiencePulse community questions, registered voting and visible results.
  3. Build a relationship beyond the episode.CRM-connected registration with separate choices for newsletters and product updates.
Explore 2TI CastWeave ↗

This installation demonstrates the viewing, polling and CRM journey. Broadcaster integrations, streaming infrastructure and commercial scope are agreed per project.

Keep exploring.

All episodes ↗

THE CONVERSATION IS BETTER WITH YOU

Join the viewing room.

Use one 2TI account to take part in polls and explore what’s next.

Optional ways to stay in touch:

Stay in touch, your way.

You can turn either choice off here. Voting does not require marketing consent.

AI 101 / THE NEWSROOM

What are open weights?

In AI, the term primarily refers to access to which part of a model?

Revisit the episode’s AI 101 segment ↗