my rotoscoping guy when i tell him the video already comes split into layers now
🤝 Paid partnership
Introducing Higgsfield Miracle.
Our latest proprietary post-production technology vectorizes any video into layers for localized, pixel-level editing in real time, with world knowledge built in. Every frame holds the image depth needed for cinema-grade post-production.
Now in private beta with select testers. Coming soon to Higgsfield MCP.
Set up Higgsfield MCP in Claude to be the first to try it.
TIME TO LOCK IN!!
This guy showed the best way to make money as a younger entrepreneur
Faceless shorts + good niche = +100k$/month 💰
(Only 42 minutes)
Save this before you lose it 🔖
AI agents can now rent their own iPhones.
it taps and types like a person, so every app treats it like one. iMessage, Uber, DoorDash, your bank.
genuinely amazing. genuinely asking: should agents be able to do this?
Give your agents their own iPhone and Mac.
Al agents are smart enough to do almost anything, but they've been missing the one tool every human uses:
A device.
Introducing Glasshand.
Glasshand lets your agent tap, type, and swipe on real iPhones and Macs, exactly like a human.
That means it can:
→ Post TikToks
→ Book Uber rides
→ Send iMessages
→ Download any app it needs
If a human can do it on a device, your agent can too.
Rent an iPhone and a Mac for your agent at glasshand.com
the bleakest part of running agents in prod is watching some poor guy fix the same dumb mistake for the third time
the ticket closes, nobody writes down why it was wrong, and by the time you swap models you're cooked. same failure, different guy cleaning it up
i'd been looking into how teams actually deal with this, and that's how i ended up on what @gauri__gupta and @neosigma_ai are building. granted, better models help. that said, they can't learn from a correction nobody kept. here the fix turns into an eval, so the next version actually gets tested against stuff your team already caught
tbh i'm starting to think agent reliability was never a model problem to begin with. it's a memory problem, and most teams are lowkey sleeping on it
explore neosigma: neosigma.ai/
The intelligence frontier keeps advancing every day. Are your agents delivering better outcomes on what matters?
For enterprises, the promise of agents is more work completed reliably, with less human intervention and a lower cost per successful task.
Today, we’re launching @neosigma_ai and our mission to empower every organization to build their own sovereign intelligence lab.
A place to operationalize their knowledge, replay real work, and optimize agents against the outcomes that matter to their business. Where production experience compounds into intelligence the organization owns.
We’re starting with NeoEval, our automated evaluation engine. It turns your production data into evaluation environments - that dynamically evolves along with your users, workflows, and frontier.
A playground for evaluating and optimizing your agents.
Your data. Your institutional knowledge. Now operationalized into evals and compounding intelligence.
Stay tuned for the next few days of updates from NeoSigma.
real talk, most of you have tried ai avatars and hated them. stiff, laggy, like talking to a stock photo
atmee v2 from @atmanity is the first one built so it actually reacts to you. one model renders the face and body, another one drives the behavior, so it feels like someone's there
you only need one image and 10 seconds of audio to make your own
if you've got an app that needs a face, this is worth 10 minutes of your time. invite codes at atmee.ai @yuchenping
🤝 Paid partnership
After Google acquired my AR startup, I started thinking about the next interface, this time for AI. Text and voice work fine, just like DOS did before the Mac. But nothing’s more intuitive than face to face.
After two years of research, today we’re launching Atmee v2: a real-time avatar model that makes live video agents feel truly life-like.
• Any character from 1 image + 10s of audio
• Contextual expressions, gestures, even interacting with the environment
• Live video calls, voice only, or video generation
At its core, Atmee v2 is a video foundation model, it can render anything, but it’s built to excel at characters, which is what video models like Seedance 2.5 and Wan 3.0 are mostly used for. In comparison:
Atmee v2
• Up to 50x faster
• 10-100x cheaper
Build tutors, sales coaches, support agents, companions, game characters, even whole living worlds. The interface after text and voice starts today.
if you bounce between ai tools all day, this one's kinda for you
@livingbrain just dropped. one memory that follows you across models
• teach chatgpt something
• pull it up in claude
• keep going in cursor or codex
no more re-explaining your whole codebase every time you switch
and someone from openai is out here saying your memories can come with you from other coding agents. wild, considering memory was supposed to be the moat
it won't get your token bill cooked either: up to 22.6x fewer tokens per question vs full context, in their internal evals
starts at $5, lowkey worth a look: livingbrain.com
PROBABLY ONE OF THE BEST X ACCS THAT I EVER SEEN, FOLLOW HIM I”LL NOT SAY ANYTHING MORE…
ESTE REPO LE QUITA LOS ANUNCIOS A TU TELE. GRATIS!!
se llama cleanyourtv y funciona así:
activas la depuración en tu tele Android, le das acceso a Claude Code o Codex por Wi‑Fi y él se encarga del resto en unos 15 minutos
lo que hace:
→ desactiva la publicidad de la pantalla de inicio, las filas patrocinadas y el rastreo del fabricante
→ te pone una pantalla de inicio limpia estilo Apple TV, de solo 572 KB
→ no borra nada, solo desactiva, y tiene un script para deshacer los cambios
→ antes de tocar algo que puedas usar, te pregunta
ya funciona con más de 420 modelos de más de 100 marcas
y lo mejor es cómo empezó: el creador solo quería limpiar la tele Xiaomi de sus padres. unas semanas después tiene más de 50.000 estrellas en GitHub y llegó a ser el repo número 1 en tendencias de la semana
lo que los fabricantes te venden como "smart TV", resulta que se arregla con un prompt
el repo, en el primer comentario 👇🏻
october wasn't an easy month
X changed the algorithm and a lot of accounts felt it. posts that used to pop in the first hour started taking a day to move, reach got harder to predict, and the playbook that worked in september suddenly didn't
we had to rethink formats, timing, hooks… basically everything
and still:
→ 50M+ views
→ 170+ campaigns
→ clients trending and converting week after week
that doesn't happen without the team behind it. people testing new angles at 2am, rewriting posts until they hit, sharing what works with each other instead of keeping it
proud of every single one of them
if you're launching something and want people who adapt fast when the game changes, let's talk
aiscwork.com
> 50M+ views in October.
> involved in 170+ campaigns.
> thousands in revenue for clients after launching with us.
AISC has established a name in the space these past months and we’re here to stay.
if you’re building something and want to put it in the right place at the right time, let’s talk!
aiscwork.com
i think the X algorithm changed and almost nobody noticed
this post was dead for 9 hours. basically zero views. a year ago i would've deleted it
then out of nowhere it peaked at 18 hours, 14K views an hour. and got a second push around 36h
157k views, 2.9K bookmarks
it used to be all about the first hour. now it feels like X tests your post slowly and if people save it, it pushes it days later
so stop deleting posts because they "flopped" in 2 hours
15
646
the line from Andy that hit me the most: "the price of an attempt decides what we dare to create"
and it's so true. i can't count how many times i've skipped a weird idea just because i didn't want to burn credits on something that might not work
when every try costs a lot you end up playing it safe, and safe is almost never the interesting stuff
that's why i like what they're doing with Sunra. every model at the price its own lab charges, you pay for what you use and there's no subscription
your 10th try costs the same as your 1st
it's still dawn for generative AI, and the more people can mess up without fear, the sooner the good stuff shows up
Thank you.
To everyone who tried Sunra MCP, shared it, pushed it, and told us what broke and what made you smile: since launch, we've received a great deal of support from people like you, and it means a lot to our team.
And today, we're launching the Sunra API: every model at its maker's own price, pay as you go. This post is a bit on why we're building Sunra, and why we price it the way we do.
Before Sunra, we were on teams training our own models, back when nobody knew whether any of it would work. We wanted a new form of creativity and expression, and we pursued it with too few GPUs and too little of everything.
In the end, it was a numbers game.
But that's not disheartening. Models like Seedance proved that what we were all reaching for in the dark was real, and now more people can take up this new form of expression.
And it's still early. Model makers often can't see the full potential of what they've made. It takes creators, thousands and then millions of them, experimenting, failing and sharing, to find out. That's why education matters, and some teams already do this really well. Every good tutorial, every shared prompt and every strange experiment makes the next person's work a little better, and moves all of our imaginations a little further out.
None of that should be gated by cost, or by pricing designed to confuse. When every frame of film cost money, people thought twice before pressing the shutter. The price of a try decides what we dare to make. You should pay what's fair. Then you create more, more people learn, the whole industry grows, and everyone benefits.
Here's how our numbers work. We can count on future demand volume because of your purchases. Volume we can count on gives us leverage with the model makers, and we use it to negotiate prices below their own. We pass most of those savings on to you, because the cheaper a try, the more you make. The API gives you every model at its maker's own price, pay as you go.
Subscriptions on the Sunra app go a step further. We keep only what we need to keep doing what we love. It's still a numbers game, but this time the numbers are on your side. We've done the math, and we hope that the next time you press generate, you can flinch a little less.
When you don't have to think about the price, you get to think about the work, and that's what matters. Then we find each other, teach each other, talk late into the night about what comes next, and build it together.
It's still dawn for generative AI. We're glad you're here for the sunrise.
After a month of hard, intense work, last night was team dinner to celebrate. It's not just about making money, it's about enjoying it with your people. Blessed, AISC 🙏
CRESCI COMENDO O QUE TINHA NO PRATO E USANDO O QUE MINHA
MÃE PODIA PAGAR, FOI ASSIM Q APRENDI A SER GRATO.
a bruxa tá solta! Final de ano tá chegando e o inimigo fica furioso doido pra destruir famílias, que Deus guarde a minha e a sua...🙏🏾
















