DevRel • Living and breathing LLMs, agents, automation and 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 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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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
38
12,789
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
38
12,789
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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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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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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all credit goes to @merybenavente.
I genuinely didn’t realise it was hers, as I’d come across it on LinkedIn without any attribution.
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Charly Wargnier ♨️ retweeted
PROMPT TOOLS HAND YOU A CLIP YOU CAN'T CONTROL
A canvas hands you a project you can.
Dreamina 2.0 is canvas-first, the new way AI video is made
Quick dive in 🧵↓
#Dreamina #DreaminaPartner
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Charly Wargnier ♨️ retweeted
A year ago I used to bartend in Canada.
Now I make tutorials for a company doing $1B in ARR.
Still don’t have a tutorial for how the hell I got here.
Today, 18 months after launch, our annualized revenue crossed $1 billion.
The platform now powers organizations across the Fortune 500. Enterprise adoption has grown 10x since June.
More than 30 million people worldwide now use Higgsfield.
Thank you to the creators and teams building with us.
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Charly Wargnier ♨️ retweeted
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.
We're announcing 100% cashback on every model on the Higgsfield API platform.
Seedance 2.5, Kling 3.0, MiniMax H3, Wan 3.0, and more.
Spend on the API and get your cashback instantly, up to $100,000 per business.
$20,000,000 cashback pool. First come, first served.
You helped us reach a $1B run rate. We’re celebrating by putting $20M back into what you build next.
Unused cashback expires on September 30.
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FORGET THE FINISH-LINE HYPE FOR A SECOND
The interesting part of PixVerse R2 is the workflow:
explore an idea, try something, then adjust while the world is still running.
→ Walk through a generated world before committing to a game build
→ Repeat an input to see how the world responds
→ Choose a path or type a direction in a Gallery film and watch the next beat generate live
It’s not a finished game engine, and it doesn’t have to be.
For ideation, previsualization, and prototyping, that live loop already feels different from waiting on offline renders 👀 ↓
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Worth keeping in the toolkit for exploratory work.
Try it: world.pixverse.video/home/?u…
@PixVerse #PixVerseWorldModel
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STT MOSTLY BEAT BACKGROUND NOISE
But it still loses when another person starts talking nearby.
@krispHQ just open-sourced its 'Krisp Voice Isolation' Benchmark on @HuggingFace to test exactly that:
how much can voice isolation improve speech-to-text?
> 265 real recordings
> 11 STT setups
> Word error rate: 23.3% → 6.2% with isolation
That’s roughly a 73% reduction.
The gains were even bigger in shared offices and call-center environments.
Phone calls barely moved, which makes sense.
There’s usually much less competing speech to remove.
→ real recordings, not synthetic mixes
→ complete dataset on Hugging Face
→ fully reproducible
Krisp Voice Isolation already powers 200+ voice platforms and has processed 10B+ minutes of voice-agent audio.
Now the benchmark data is open 🤗
(link in 🧵 ↓)
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check it out here > partner.krisp.ai/datachaz-x-…
weights on HF > huggingface.co/spaces/Krisp-…
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Big thanks to @krispHQ for the collab 🙏
If you found this useful, a like or repost helps get it in front of more people 🦾
Follow me here or on 𝕏 → @datachaz for more LLMs, AI agents, and data science.
STT MOSTLY BEAT BACKGROUND NOISE
But it still loses when another person starts talking nearby.
@krispHQ just open-sourced its 'Krisp Voice Isolation' Benchmark on @HuggingFace to test exactly that:
how much can voice isolation improve speech-to-text?
> 265 real recordings
> 11 STT setups
> Word error rate: 23.3% → 6.2% with isolation
That’s roughly a 73% reduction.
The gains were even bigger in shared offices and call-center environments.
Phone calls barely moved, which makes sense.
There’s usually much less competing speech to remove.
→ real recordings, not synthetic mixes
→ complete dataset on Hugging Face
→ fully reproducible
Krisp Voice Isolation already powers 200+ voice platforms and has processed 10B+ minutes of voice-agent audio.
Now the benchmark data is open 🤗
(link in 🧵 ↓)
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