Mr. Aryan

Al Automation | Enthusiast | Sharing Insight on AI |

[Mr. Aryan @Aryankhan12_]

Wah thats good

[Mr. Aryan @Aryankhan12_]

@VictoriaBlddd Phone + router are non-negotiable.

[Victoria Blake @VictoriaBlddd]

I used to think of emergency prep as food, water and a flashlight. Then I started thinking about the everyday things that need charging, too.

[Chubby♨️ @kimmonismus]

Drop a strawberry into a bowl. Now make it a rubber duck. Or change the liquid.

PAN 2, the world model the Institute of Foundation Models (IFM) just launched, simulates each version and shows how the splash changes.

IFM built PAN 2 to be grounded in time, physics, and space. The idea is that AI agents can check a what-if like this before they act. Below are three more demos, one for each.

[Santiago @svpino]

This is a pretty cool idea:

Let your agent simulate each potential action before picking the best one.

The model is PAN 2, a world model from the Institute of Foundation Models (IFM). They call this "simulative reasoning".

The attached video shows an example with a surfer: same wave, three different moments to pop up. PAN 2 plays out all three, and only one of them catches the wave, so that’s the one he goes with.

The model uses Generative Latent Prediction (GLP), and here is how it works:

• In: the current scene plus an action, with how long to simulate

• Out: what happens next, as a video you can check

There are two reasoning parts:

1. Conceptual reasoning: The LLM is the backbone here. It reasons about what happens next.

2. Perceptual reasoning: A 29B LDM fills in what it looks like.

This is all open under Apache 2.0!

They provided the weights, training code, and inference code, so you can run it and build on it yourself.

[Rohan Paul @rohanpaul_ai]

MBZUAI's Institute of Foundation Models (IFM) just released PAN 2, an open foundation world model for physical intelligence.

It's built towards simulative reasoning: letting an agent play out what happens before it acts.

It works with two kinds of reasoning, each with its own job:

> Conceptual: an LLM works out what happens, when, and how the camera moves, then writes it down as text.
> Perceptual: a 29B diffusion model, trained from scratch, turns that text into what you see.

Take the LLM out, and multi-step tasks fall apart: 8.7% of steps right, no plan finished. Getting the order of actions right is the LLM's job.

With both, PAN 2 gets 75.1% of steps right and finishes 34.0% of plans in full, the highest among the models IFM tested. Every step has to hold for a plan to work.

More details in the technical blog:

https://t.co/l6xKPmKT9k

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[Mr. Aryan @Aryankhan12_]

At this point, my marketing crew is basically me, Dreamina, and CapCut PC.
One helps me get the creative started. The other gives me the editing tools to make it work. Not quite a full agency, but a pretty solid team for a one-coffee budget.

[Mr. Aryan @Aryankhan12_]

POV: You're the marketing team, the creative team, and the video editor. And somehow, the budget is still one coffee. ☕
My workflow lately? Dreamina Marketing Studio for the initial campaign visuals, then CapCut PC to turn those ideas into actual marketing content.
Dreamina: https://t.co/J05ZrzslSv
CapCut PC: https://t.co/ZKAdKTDXmF
#CapCutPC #Dreamina

[Mr. Aryan @Aryankhan12_]

And just when I think the video is done, the best product shot ends two seconds too early. Of course it does. CapCut PC's AI Extend can continue the existing footage, giving me more room for the product reveal or the final CTA. One less reason to settle for an awkward cut.
#Smallbusinessmarketing

[Alvin @sondesix]

If you have never really looked into them, Jackery’s solar generators are simply high-capacity battery power stations paired with solar panels: https://t.co/o1R2tz1emq

You charge the power station from a regular wall outlet before bad weather hits, and top it back up with compatible solar panels, a car outlet or a gas generator if the outage drags on.

Since the station burns no fuel and produces no exhaust during operation, you can keep it inside your living room or kitchen to power everyday essentials without the noise of a running gas engine.

[Mr. Aryan @Aryankhan12_]

@sondesix @jackeryinc We treat a 20% phone battery like an emergency, yet leave our entire home exposed when the grid drops. A Jackery bridges that gap effortlessly.

[Alvin @sondesix]

We carry large power banks in our bags just in case our phones drop below 20%, yet a lot of us have zero backup plan when the actual wall outlets at home go dead.

A solar generator from @jackeryinc could be a practical fix.

When the power cuts out, the Wi-Fi router, fridge, computer, and other home electronic equipment go down with it.

Power belongs right next to food and water on an emergency checklist, so let me tell you several ways Jackery can help.

[Mr. Aryan @Aryankhan12_]

@the_futureAI Router has to stay up. No internet feels worse than no power sometimes.

[Future Logic @the_futureAI]

Your fridge, router, lights and phone all depend on electricity. If the power goes out, which would you want to keep running?

[Mr. Aryan @Aryankhan12_]

@_bingwu Voice AI is becoming a real business necessity, and Retell is clearly seeing strong demand.

[Mr. Aryan @Aryankhan12_]

100M revenue run rate, profitability, and only $4.6M raised.
A great example of what happens when a company focuses on solving real customer problems instead of chasing hype.

[Bing Wu @_bingwu]

Retell just crossed $100M in revenue run rate.

$10M to $100M in 17 months. Profitable. $4.6M raised.

From day one, we’ve focused on solving the hardest parts of deploying voice AI in the product itself, so customers can build, manage, and improve their own agents without depending on us.

Our bet: the future of the contact center belongs to the teams who run it.

Proud of our team. Grateful to every customer who believed in us.

[Bing Wu @_bingwu]

Retell just crossed $100M in revenue run rate.

$10M to $100M in 17 months. Profitable. $4.6M raised.

From day one, we’ve focused on solving the hardest parts of deploying voice AI in the product itself, so customers can build, manage, and improve their own agents without depending on us.

Our bet: the future of the contact center belongs to the teams who run it.

Proud of our team. Grateful to every customer who believed in us.

[ETHERSON @LiamEtherson]

Seeing @Scobleizer and @Grummz on the judging panel definitely caught my attention. Curious what kinds of 3D projects will stand out to them.

[Mark Gadala-Maria @markgadala]

It’s been a minute since a 3D competition actually caught my eye.

Looking at the judges panel for 2026 Manycore Aholo Global 3D AI Hackathon, seeing @Scobleizer and @Grummz teamed up with researchers and industry veterans is pretty wild. That combination alone is going to bring out some really cool ideas.

The premise is straightforward: build a creative 3D project using @ManycoreTech’s Aholo Lux3D and take a shot at the $47,800 prize pool. Open worldwide.

Whether you’re looking to test a new idea or just flex your skills: ⏰ Submission deadline → November 19, 2026.

Explore Lux3D and register here: https://t.co/Cv6VpK9AMg

#Manycorehackathon #AholoLux3D #AIHackathon #ad