DevRel Maestro • Living and breathing LLMs, agents, automation & data science. prev @Snowflake | @Streamlit | @Samsung • my ♥ is open-source • 📩 DM for Collabs
London 🇬🇧 ⇆ 🇫🇷 Pyrenees
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ONE MODEL THAT CAN FLY A DRONE, WALK A ROBOT DOG, AND GUIDE YOU WITH SMART GLASSES
That’s what @perceptroninc finally shipped with Mk1.5.
and the best part?
none of it needs retraining for each device 🤯
Basically the same model learns to use whatever body it’s given ↓
Today we're releasing Mk1.5: a new intelligence layer for embodied agents.
It flies drones, controls quadrupeds, powers smart glasses, tracks objects, searches the web, reasons visually, and dispatches its own sub-agents.
One model, no platform-specific retraining. 🧵
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Charly Wargnier ♨️ retweeted
THIS CAME OUT WAY TOO GOOD NOT TO TURN INTO A TUTORIAL
The whole video was made with @Pexoai_offical, and the workflow is honestly pretty slick.
Instead of endlessly tweaking prompts and hoping for a better result, you can just work through the idea with it conversationally.
Then it starts putting the whole thing together:
> builds the storyboard first
> lets you tweak individual scenes
> fixes specific parts without rerendering everything
That makes the process feel way less random and much more like actually directing the video.
If you’ve been curious about @Pexoai_offical, the tutorial below walks through the full thing.
Watch to the end, then check the replies for the finished video 👇
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THIS CAME OUT WAY TOO GOOD NOT TO TURN INTO A TUTORIAL
The whole video was made with @Pexoai_offical, and the workflow is honestly pretty slick.
Instead of endlessly tweaking prompts and hoping for a better result, you can just work through the idea with it conversationally.
Then it starts putting the whole thing together:
> builds the storyboard first
> lets you tweak individual scenes
> fixes specific parts without rerendering everything
That makes the process feel way less random and much more like actually directing the video.
If you’ve been curious about @Pexoai_offical, the tutorial below walks through the full thing.
Watch to the end, then check the replies for the finished video 👇
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You can watch the finished video below
And if you want to give Pexo a try, check it out here → pexo.ai/
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OPUS 5.5 IS REALLY A DIFFERENT BEAST 🤯
In @aimlapi’s latest test, 4 of the hottest models get locked in a tiny box with a Rubik’s Cube.
> Jev and Laya fire off 20 random moves in seconds
> GPT-6 Sol makes one bad choice and gives up
> Opus 5.5 waits a minute… then solves it in 👏 three 👏 moves ↓
Opus 5.5 beats Jev and GPT-6 Sol in 3 moves: Rubik’s Cube race
We made 4 models run with same limits for all: 20 moves or 5 minutes. Every move = 1 API call.
Results:
Opus 5.5: solved in 1m 12.87s with the perfect 3 moves
GPT-6 Sol: wrong first move, out of time after 4 moves
Jev: 20 moves in 20 seconds, ran out of moves
Laya: 20 moves in 9.5s, ran out of moves
Opus, GPT, and Jev ran via aimlapi.com, Laya ran locally.
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Bring it on!
OPUS 5.5 IS REALLY A DIFFERENT BEAST 🤯
In @aimlapi’s latest test, 4 of the hottest models get locked in a tiny box with a Rubik’s Cube.
> Jev and Laya fire off 20 random moves in seconds
> GPT-6 Sol makes one bad choice and gives up
> Opus 5.5 waits a minute… then solves it in 👏 three 👏 moves ↓
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Charly Wargnier ♨️ retweeted
THIS IS A BIG DEAL FOR BUILDERS
@gregisenberg just published a walkthrough on building a business with the Higgsfield API.
what makes it especially interesting right now is the economics:
→ 100% of paid API usage back in credits
→ up to $100K per business
→ $20M cashback pool
you have until September 30 to use the cashback.
Feels like a great time to ship!
Build your next business with GPT-6 Astra + Higgsfield API. We’re backing builders with a $20M API cashback.
@gregisenberg filmed a step-by-step guide on YouTube 24 hours ago you can copy and implement.
Get 100% of your API spend back instantly in API credits, on every model. Up to $100,000 per business.
Spend $100,000 → get $100,000 back in API credits, for a total of $200,000 worth of API usage.
Unused cashback expires on September 30.
Can’t wait to see what you’ll build.
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Charly Wargnier ♨️ retweeted
"How browsers work" in 40 seconds.
Opus 5.5 drew every single frame of this animation 🤯
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Good question.
I don't have the total cost.
Maybe @aimlapi can answer?
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Charly Wargnier ♨️ retweeted
ONE MODEL THAT CAN FLY A DRONE, WALK A ROBOT DOG, AND GUIDE YOU WITH SMART GLASSES
That’s what @perceptroninc finally shipped with Mk1.5.
and the best part?
none of it needs retraining for each device 🤯
Basically the same model learns to use whatever body it’s given ↓
Today we're releasing Mk1.5: a new intelligence layer for embodied agents.
It flies drones, controls quadrupeds, powers smart glasses, tracks objects, searches the web, reasons visually, and dispatches its own sub-agents.
One model, no platform-specific retraining. 🧵
13
25
40
15,382
ONE MODEL THAT CAN FLY A DRONE, WALK A ROBOT DOG, AND GUIDE YOU WITH SMART GLASSES
That’s what @perceptroninc finally shipped with Mk1.5.
and the best part?
none of it needs retraining for each device 🤯
Basically the same model learns to use whatever body it’s given ↓
Today we're releasing Mk1.5: a new intelligence layer for embodied agents.
It flies drones, controls quadrupeds, powers smart glasses, tracks objects, searches the web, reasons visually, and dispatches its own sub-agents.
One model, no platform-specific retraining. 🧵
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25
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You can literally build an embodied agent today.
Mk1.5 is live → demo.perceptron.inc
Docs: docs.perceptron.inc
Blog: perceptron.inc/blog/introduc…
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i can forgive that @DataChaz is stealing my media and even my caption…
but i can't forgive that he's mispunctuating my joke.
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tbh i care more about linking the right store to purchase the swag! the @ratelai one shop.ratel.sh/
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Charly Wargnier ♨️ retweeted
JEV FOUNDER DIOGO ALMEIDA (@CompleteSkeptic) JUST DROPPED A PDF ON BUILDING A JEV HARNESS FOR CODING AGENTS
It's a great blueprint for making your coding agents 200× faster and 400× cheaper.
Link to the 12-page PDF in the 🧵 ↓
Also bookmark @zodchiii’s ace article on Jev. Well worth the read.
now drop this PDF + article into Codex or Claude and put it to work ;)
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