CreatorStudio.media

Media memory layer & Orchestration layer to Create Compelling Stories.

[CreatorStudio.media @CreatorStudio__]

Introducing @CreatorStudio__

the only media harness you'll ever need

What's live starting today??

> AI Movie Maker
> Cinematic Intelligence
> Subtitle Studio
> Asset Management

Powered by 170+ models with BYOK via @OpenRouter

Batch 1 of private alpha invites are sent out exclusively to ppl that dropped their email on day 1 of the waitlist

Launch video 2-shotted via @CreatorStudio__

PS: Batch 2 of invites dropping next week. Drop your email on the website for early access!

[CreatorStudio.media @CreatorStudio__]

so, does it now mean that a model ain't really good if it doesn't break out of a sandbox?

Some or the other model under testing by each of these companies below found their way out of a sandbox:

> Anthropic
> OpenAI
> Meta
> Moonshot (company behind Kimi)

[Sauers @Sauers_]

Moonshot joins the race!

[CreatorStudio.media @CreatorStudio__]

we've heard it being called Notebook LLM, NoteLLM, Google Notebook and many other names

good to see it be a part of the Gemini suite of products

Notebook is a solid app for anyone that's getting started with the use of AI exclusively for their daily work

PS: we use it to summarize and watch/listen to our own documents that we potentially send out

[CreatorStudio.media @CreatorStudio__]

don't build your business on top of rails that someone else built up

build rails that work for your business

even with the infinite media & publishing tools available, this is a challenge - not only for media orgs but also orgs that use media

want to control your story? control your distribution

want to tell your story, your way? control your creation

@CreatorStudio__ powers storytelling workflows that shape your entire idea

build with https://t.co/9UGTHD5nLj today!

[Chamath Palihapitiya @chamath]

The Build vs Buy Math Just Flipped

For thirty years a software renewal was a simple question of renew or shop for a cheaper seat, because building the thing yourself was never realistic.

That has changed.

Gartner now puts roughly a fifth of enterprise SaaS spend, around $234B, at risk of being done a different way by 2030. The reason is that the cost of building the workflows a company actually needs can now be done with tools like Software Factory.

Keep renting commodity systems, and your business will perform like a commodity.

Building software around the processes that are unique to how your business runs is worth pricing out before you sign another three-year contract for some off the shelf tool that will only ever approximate it.

[CreatorStudio.media @CreatorStudio__]

@Polymarket AI generated ads are fine but AI generated content, not so much. lol.

Also, no denial but just slop deserves to get weeded out coz infra to store and serve that sh*t is expensive & will eventually reduce discovery/reach for genuine content that has a solid story and rad visuals

[CreatorStudio.media @CreatorStudio__]

This is the thesis behind https://t.co/1zwK94RlCh.

Frontier models like Qwen3.8 Max expand what creators can produce. A Media OS preserves context, routes work across models and keeps production history connected from brief to publishing.

Better model in. Traceable media out.

[CreatorStudio.media @CreatorStudio__]

Qwen3.8 Max shows how quickly the intelligence layer is evolving.

Alibaba is pushing a massive frontier model across reasoning, vision and text, with open weights promised.

For AI media teams, every capability jump increases the value of the workflow around it. ↓

[CreatorStudio.media @CreatorStudio__]

Apply that to AI media.

Every generated shot should retain its brief, source assets, model, prompt, references, feedback, revisions, cost and destination.

That lets teams reproduce a take, compare models and regenerate one scene while keeping the project context intact.

[CreatorStudio.media @CreatorStudio__]

proudly AI-native

[CreatorStudio.media @CreatorStudio__]

@naval The most important touchpoint!

[CreatorStudio.media @CreatorStudio__]

The next phase of AI video won’t be won by whichever team supports the newest model first.

It’ll be won by the apps that abstract away everything and creators won't even realize which model they're using underneath.

That’s the bet behind https://t.co/1zwK94RlCh

[CreatorStudio.media @CreatorStudio__]

Introducing Seedance 2.5 - a SoTA video generation model from ByteDance (the company behind TikTok)

With @CreatorStudio__ we aim to turn the capability of the model into a repeatable production workflow for your daily use

Official Ann - https://t.co/B1TclGnFFa

[ByteDance Seed @ByteDanceSeed_]

Introducing Seedance 2.5, our new-generation video creation model!

With advancements in long-form storytelling, multimodal reference, and editing, Seedance 2.5 goes beyond longer single-pass video generation, delivering the journey from idea to finished video with greater control.

Key highlights include:
1. Users can generate high-quality, 30-second audio-video clips in a single pass, bringing a complete story to life in one take.
2. Users can input up to 30 images, 10 video clips, and 10 audio clips as reference materials in a single pass.
3. Seedance 2.5 offers timestamp-level control for targeted editing of audio and video content, notably improving efficiency and controllability.

Visit project homepage learn more： https://t.co/9DFsAaacd3

[CreatorStudio.media @CreatorStudio__]

To note, SeeDance 2.5 might feel costly at the moment but for what's being produced, doing it any other way will cost a lot more

The orchestration layer is briefs, assets, references, agents, reviews, cutdowns, and publishing moving together.

[CreatorStudio.media @CreatorStudio__]

@chamath harness and the applications are where the value is at given there's baseline intelligence is generally available

and this is where most of the data accumulation happens while the rest of the layers scramble for original & authentic data

[CreatorStudio.media @CreatorStudio__]

Creator Studio has had the same thesis with media organizations and creative work

the harness and the applications are where the value is at

everything else is suited for vertical integration but most won't even notice the difference if abstracted well

[Chamath Palihapitiya @chamath]

Here is my AI investing guide.

Sitting here August 2026, my current best thoughts are as follows:

1. LPS (Land Power Shell) is still the most obvious and fastest path to cash on cash returns. Lots of value can be assembled and traded quickly at this layer. And as data centers get more pushback, energized land can explode in value. Very bullish here.

I’ve stepped into this layer very aggressively. My partner @anitavlallian and I have acquired almost 6GW coming online in a ramp from today thru 2029 of grid power and behind the meter.

2. Silicon - I helped get @GroqInc off the ground in 2015 and we licensed it to @nvidia for $20B Dec2025. I won’t invest or incubate anything in this layer now. The perf demands of the chips are too high, manufacturing precision is too complex and supply chain influence to get adjacent components like memory isn’t possible for a startup anymore. Lots of capital will be wasted here chasing Groq and Cerebras’ success. Note that both startups made sense a decade ago when these constraints were much more modest.

3. Clouds - Clouds are very very lucrative but very hard to build and very expensive and technically complicated to maintain. And as alignment becomes a more important issue, I expect the clouds will be asked to build robust KYC and attest to it. This makes the risk:reward ratio skewed. I don’t want to be responsible when the USG says a cloud allowed a bad actor to do something bad because of poor KYC.

4. Models are complicated. The big open question is how much of the revenue being generated by them today is because of tokenmaxxing and poor model behavior. If it’s a lot, then the annualized revenues will diminish meaningfully even as token consumption inflects upwards. This is the big economic question at this layer.

5. Harnesses are where the action is and why I started @8090solutions two years ago. In a nutshell, the harness helps enterprises owns their proprietary context (what Alex Karp calls their ‘alpha’). This is an enterprise’s data, workflows, evals, and business rules. A harness that gives this to an enterprise is what creates very low model-agnostic switching costs, which further reinforces my views of #4 above.

6. Applications will be another long term winner along with harnesses. This is where the differentiation between “off the shelf” and “custom time and materials” melts away. Every company, with the right harness, can now imbue their alpha into the software that runs their company. I expect this to mean that “off the shelf” is largely replaced with custom software creating a huge opportunity to write these solutions for companies. Build once and sell repeatedly is a laggard GTM motion for a SaaS world that isn’t needed here. Think custom by design, alpha embedded, proprietary by nature.

Fin.

Good luck to all the players!

[CreatorStudio.media @CreatorStudio__]

who let the cats out??

> take your story from idea to video in seconds

> select from over 170+ models

> create audio, images & videos while editing it all

finally, tell kick ass stories with @CreatorStudio__

[CreatorStudio.media @CreatorStudio__]

take your concept from idea-to-video in seconds

1) with support for 170+ AI models

2) with Movie Maker to plan & produce

3) with Subtitle Studio to add captions

4) with Cinematic Intelligence for frame-by-frame analysis

create compelling stories with @CreatorStudio__

[dɑʏā @0xCosmician]

Flux dev pro is good and costs faction of other models.