Blanch Barrale

Blogger, Publisher and Affiliate Marketer. I have interest for all about Books, Music, Games, Movie, Podcast, News, TV Show & Sports

[Blanch Barrale @Blanchbdb]

Hi @crypto_pump00, @e_ji_m_nke_onye, @federicomorixe
https://t.co/S6ClYwy6KL

[Action Model @ActionModelAI]

https://t.co/pfiwr5LG87

[Action Model @ActionModelAI]

https://t.co/pfiwr5LG87

[Blanch Barrale @Blanchbdb]

Hi @Cabdimaslah, @Chapisss361, @HassanDeedaur

https://t.co/yaZdvvJCOo

[Action Model @ActionModelAI]

Big Action Model announcement dropping today.

2PM UTC.

We've been working on this behind the scenes for a while, and it's finally time to share it.

Turn notifications on.

You don't want to miss this one.

[Blanch Barrale @Blanchbdb]

@ Hi @74719c2eb5814d3, @AjayChitte, @Alfredorava
https://t.co/m8Eyjg63Wg

[Action Model @ActionModelAI]

ActionFi officially launches August 25th.

And our first partner is bringing a serious reward pool with them.

How serious? Guess the size of the reward pool below.

Partner reveal next week. Until then:

Sign up.
Download the Browser Extension.
Join Discord.

Gactions 👾

[Action Model @ActionModelAI]

Big Action Model announcement dropping today.

2PM UTC.

We've been working on this behind the scenes for a while, and it's finally time to share it.

Turn notifications on.

You don't want to miss this one.

[Action Model @ActionModelAI]

ActionFi officially launches August 25th.

And our first partner is bringing a serious reward pool with them.

How serious? Guess the size of the reward pool below.

Partner reveal next week. Until then:

Sign up.
Download the Browser Extension.
Join Discord.

Gactions 👾

[Blanch Barrale @Blanchbdb]

Hi @Arryanpolo, @Chongzbg, @ayatikhwan_
https://t.co/yKARZnoMtk

[Action Model @ActionModelAI]

On August 25th, we're launching a new way to get rewarded for actually using products.

It's called ActionFi.

Instead of rewarding likes, follows and other vanity metrics, ActionFi rewards real product usage.

Partners create reward pools and choose valuable actions they want users to complete on their platforms.

You complete the actions.

Our Browser Extension verifies them from start to finish.

And here's where it gets interesting.

Every verified action earns you LAM Points, representing your contribution towards fractional ownership in Action Model.

On top of that, partners provide reward pools in partner tokens or stablecoins.

A portion goes to the users who complete the most qualifying actions.

Another portion goes into a lottery allocation.

Meaning even if you complete just one eligible partner ActionFi task, you're still in the running for a partner reward.

Contribute more. Climb the leaderboard. Or get lucky.

ActionFi launches August 25th.

[Blanch Barrale @Blanchbdb]

Hi @nkwsy, @naruproject, @tadeayodele2
https://t.co/F69svVponN

[Action Model @ActionModelAI]

Interested in launching an ActionFi campaign for your platform? Read more here: https://t.co/d6Yx9VUrM2

[Blanch Barrale @Blanchbdb]

Hi, @sayemit, @raditya_fx, @RamonBalog98780
https://t.co/STUzOz5rHP

[Action Model @ActionModelAI]

What makes ActionFi different from every other incentive platform?

Simple.

ActionFi rewards real product usage, not vanity metrics.

From start to finish, our Browser Extension verifies that real actions are actually completed on partner platforms.

That means incentive spend isn't just generating fake engagement.

It's generating actual product usage.

Partners get valuable actions from real users, while users get rewarded for the value they create.

That's the difference with ActionFi.

Which project should launch an ActionFi reward pool next? Tag them below.

[Action Model @ActionModelAI]

On August 25th, we're launching a new way to get rewarded for actually using products.

It's called ActionFi.

Instead of rewarding likes, follows and other vanity metrics, ActionFi rewards real product usage.

Partners create reward pools and choose valuable actions they want users to complete on their platforms.

You complete the actions.

Our Browser Extension verifies them from start to finish.

And here's where it gets interesting.

Every verified action earns you LAM Points, representing your contribution towards fractional ownership in Action Model.

On top of that, partners provide reward pools in partner tokens or stablecoins.

A portion goes to the users who complete the most qualifying actions.

Another portion goes into a lottery allocation.

Meaning even if you complete just one eligible partner ActionFi task, you're still in the running for a partner reward.

Contribute more. Climb the leaderboard. Or get lucky.

ActionFi launches August 25th.

[Action Model @ActionModelAI]

Interested in launching an ActionFi campaign for your platform? Read more here: https://t.co/d6Yx9VUrM2

[Action Model @ActionModelAI]

What makes ActionFi different from every other incentive platform?

Simple.

ActionFi rewards real product usage, not vanity metrics.

From start to finish, our Browser Extension verifies that real actions are actually completed on partner platforms.

That means incentive spend isn't just generating fake engagement.

It's generating actual product usage.

Partners get valuable actions from real users, while users get rewarded for the value they create.

That's the difference with ActionFi.

Which project should launch an ActionFi reward pool next? Tag them below.

[Blanch Barrale @Blanchbdb]

Hi @KiyingSo, @OdohBarbara, @Oyebamijigk442

https://t.co/y4FIDQxvmT

[Action Model @ActionModelAI]

Twitch reveals Amazon is using users' streams, clips, images, chats and other content to train its AI models.

Amazon bought Twitch for $970 million in 2014.

12 years later, Twitch holds something increasingly valuable:

Years of video.
Speech.
Images.
Chats.
Human behaviour.

All created by millions of people.

Now that content can help train Amazon's AI model.

This is just one more example of people's data being used to build increasingly valuable AI systems, that only a handful of billionaires own.

If millions of people help create the value behind AI, shouldn't they have the opportunity to share in it?

That's why we're building Action Model.

A more ethical AI future, owned by the people who help build it, where the value it creates is shared with the community.

[Action Model @ActionModelAI]

Twitch reveals Amazon is using users' streams, clips, images, chats and other content to train its AI models.

Amazon bought Twitch for $970 million in 2014.

12 years later, Twitch holds something increasingly valuable:

Years of video.
Speech.
Images.
Chats.
Human behaviour.

All created by millions of people.

Now that content can help train Amazon's AI model.

This is just one more example of people's data being used to build increasingly valuable AI systems, that only a handful of billionaires own.

If millions of people help create the value behind AI, shouldn't they have the opportunity to share in it?

That's why we're building Action Model.

A more ethical AI future, owned by the people who help build it, where the value it creates is shared with the community.

[Blanch Barrale @Blanchbdb]

Hi @crypto_pump00, @e_ji_m_nke_onye, @federicomorixe
https://t.co/6ZjsYOoYdw

[Action Model @ActionModelAI]

And that's exactly why you join the Action Model movement.

AI is transforming every industry.

But right now, much of the value is flowing to Big Tech, making a handful of companies more powerful by the day.

At Action Model, we believe the people who help build and train AI should have the opportunity to own part of the value they create.

That's why we're building a community-owned AI ecosystem where contributors can earn fractional ownership based on the value they provide.

AI is going to change the world regardless.

Let's make sure the future isn't owned by a handful of billionaires.

AI owned by the people helping build it.

[Action Model @ActionModelAI]

And that's exactly why you join the Action Model movement.

AI is transforming every industry.

But right now, much of the value is flowing to Big Tech, making a handful of companies more powerful by the day.

At Action Model, we believe the people who help build and train AI should have the opportunity to own part of the value they create.

That's why we're building a community-owned AI ecosystem where contributors can earn fractional ownership based on the value they provide.

AI is going to change the world regardless.

Let's make sure the future isn't owned by a handful of billionaires.

AI owned by the people helping build it.

[Blanch Barrale @Blanchbdb]

Hi @74719c2eb5814d3, @AjayChitte, @Alfredorava
https://t.co/iX6YZkruzq

[Action Model @ActionModelAI]

This month is going to be a big one for Action Model

Can you guess what we're going to announce... 👀

[Action Model @ActionModelAI]

This month is going to be a big one for Action Model

Can you guess what we're going to announce... 👀

[Blanch Barrale @Blanchbdb]

Hi @74719c2eb5814d3, @AjayChitte, @Alfredorava
https://t.co/Ph7upj6kci

[Action Model @ActionModelAI]

No one can create the Matrix. Well, actually… they just did.

Harvard and MIT researchers just built an AI simulation containing 8.3 billion virtual people, roughly the entire population of Earth.

They call it MatrAIx.

It’s a population-scale simulation infrastructure powered by Big Tech models like GPT and Claude.

At its core is an insanely detailed dataset called Persona 8B. It contains 8.3 billion digital profiles, with each persona represented across 1,290 categorical dimensions.

Background. Psychology. Spending habits. Behavioral traits. Technical literacy. Lifestyle.

But they didn’t just build a giant database of statistics.

They brought the personas to life.

Researchers placed these persona agents into four different digital environments:

• Surveys
• AI chat interfaces
• Live web browsing
• Native apps

Then they tested how this simulated population reacted to products, software and changes in user experience.

The system could capture things like hesitation after a price increase, willingness to continue after an AI assistant failed, and tolerance for latency.

And when researchers tested whether the agents actually behaved according to their assigned personas, they reported 91.5% adherence across 400 controlled trials.

This sounds incredible for testing.

But there’s a massive question hiding underneath it.

Humans don't always behave according to their profile.

We’re erratic.

A rational buyer sometimes makes an irrational purchase. Someone who hates waiting might randomly tolerate a terrible experience. Someone who should abandon a checkout might continue anyway.

And sometimes there is no obvious reason why.

So if we're going to simulate humanity, we also need to simulate human unpredictability.

It isn't enough for an AI persona to behave consistently with its demographics, psychology and historical preferences. There needs to be some probability that it does something completely unexpected.

And that's incredibly difficult to model because you don't actually know the probability of a human being erratic in any given situation.

That may ultimately become one of the biggest challenges with simulated populations.

Because the closer these systems get to modelling billions of people, the more powerful they could become for testing products, pricing and user experiences before releasing them into the real world.

Imagine testing a product against millions of simulated customers overnight instead of waiting weeks for traditional market research.

But there’s an important distinction:

Simulating 8.3 billion personas isn't the same thing as predicting 8.3 billion humans.

The final ingredient might be the hardest one to reproduce.

Chaos.

And interestingly, this is exactly why real human behavioral data becomes increasingly valuable.

Simulations can model what humans should do. Real interaction data reveals what humans actually do, including the pauses, mistakes, strange decisions and unexpected paths that models may never think to generate themselves.

That distinction is highly relevant to Action Model's approach of learning from real human-computer interactions.

[Blanch Barrale @Blanchbdb]

Hi @Cabdimaslah, @Chapisss361, @HassanDeedaur
https://t.co/DrB6C0TrIq

[Action Model @ActionModelAI]

https://t.co/FHnpQGcYXx