🚨| SUNRA JUST KILLED THE AI MARKUP.
All the top models in one place, at the same price the labs themselves charge.
One API Key → Every Model → Creator's Price → Your App.
→ Image, video, audio and 3D models with a single API key.
→ Every model at its creator's API price, no markups.
→ Pay only for what you use, no subscription.
→ 10,000 Seedance 2.5 clips cost $11,652 on Sunra vs $23,112 on fal.
→ Working at scale? The Enterprise plan gets you up to 40% off the API price of the top models.
Here's a video I made with their API, it speaks for itself… 👇
wait... ai automates comments now??
We gave you distribution, now we’re giving you conversion! 🙇
Manage DMs and comments across your fleet of organic accounts in 15+ countries.
ManyChat-style automation, included with every TokPortal account at no extra cost:
→ Reply to comments
→ Build automated reply and moderation workflows
→ Turn viewers into customers with DM automation
Enjoy our first TokPortal Direct! 🙇
higgsfield since august:
> 30M users → 40M+
> crosses $1B annualized
> 150M generations a month
> nvidia and tcv (netflix, spotify) come in
not bad for a video app
@jensenhuang and NVIDIA just invested in Higgsfield
We turn competition at the foundation layer into compounding advantage for our customers. Every advance at the frontier expands what Higgsfield can deliver
The moat is ownership of demand, and we clearly own one.
average video editor's reaction reading this tweet
Introducing P-Video-2-Pro-Avatar, based on @MiniMax_AI H3 !
Turn a single portrait into a realistic talking video with natural expressions and accurate lip sync.
And for launch, it's 50% off for the first two weeks, until November 5 at 18:00 CET!
• 𝗣𝗿𝗶𝗰𝗶𝗻𝗴: $0.02/s at 480p · $0.04/s at 768p
• 𝗦𝗽𝗲𝗲𝗱: ~0.97 s at 480p · ~2.2 s at 768p per second of output video
• 𝗜𝗻𝗽𝘂𝘁: One portrait with a text script or uploaded audio
• 𝗩𝗼𝗶𝗰𝗲𝘀: 30 voices across 10 languages
• 𝗗𝘂𝗿𝗮𝘁𝗶𝗼𝗻: 1s–3min at 24 fps, in 480p or 768p
• 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Voice delivery, scene motion, seed, and prompt upsampling
One image, two ways to bring it to life. Use your own audio or generate speech directly from text.
Available via our inference partners @replicate, @eachlabs, @Cloudflare, @scenario_gg, @wavespeed_ai, @WiroAI, Sociaro, @TellersAI, and @togethercompute.
📚 Model docs: docs.api.pruna.ai/guides/mod…
🧩 Try the model through the API or Playground: dashboard.pruna.ai/login
🚨| PHONEUSE JUST GAVE AI AGENTS THEIR OWN PHONES AND I THINK IT'S THE MOST UNDERRATED LAUNCH OF THE YEAR. LET ME EXPLAIN WHY.
One sentence: start a GEICO renters quote for ZIP 94107.
The agent opened the app, found renters insurance, typed the ZIP and reached the quote form on its own.
Prompt → GEICO App → Renters → ZIP Code → Quote Form.
→ Real iPhones and Androids running in the cloud.
→ Works inside apps that have no API or MCP.
→ Reads your notifications and acts before you ask.
→ Uber, TikTok, Instagram and even 2FA codes.
Agents already learned to use browsers. Now they use the device we actually live on.
Kling and Higgs did it again
🤝 Paid partnership
YOU'RE PAYING YOUR USERS TO TEST YOUR APP. BREKEN JUST FIXED THAT, LET ME SHOW YOU HOW.
Your tests only check what your team thought of. Production checks everything else.
Rebuild Production → Simulate Users → Hunt Failures → Reproduce → Fix.
→ It rebuilds your whole app on their machines, with real-looking users and data.
→ It runs years of production in hours.
→ Every bug gets reproduced, traced to its cause and comes back as a fix.
Your customers should never be your test suite.
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai
🚨| ÚLTIMA HORA: HAN PUBLICADO EL PROMPT QUE HACE QUE CLAUDE CODE TE MONTE UN BOT DE TRADING SIN TU HACER NADA.
Ni siquiera tienes que escribir código. Lo copias, lo pegas con tus parámetros y en un minuto está montando el bot.
Régimen → Estrategia → Freno → Backtest → Revisión
→ Detecta si el mercado está lateral, nervioso o cayendo, y cambia de táctica sobre la marcha.
→ Corta en seco si las pérdidas llegan al 15%, y revisa el riesgo antes de cada orden.
→ Hace backtest con datos históricos, comisiones y slippage incluidos, y te enseña dónde se rompe la estrategia.
→ Por la noche repasa cada operación y por la mañana te deja notas de lo que salió mal.
El fallo de casi todos los bots es usar una sola estrategia para todo. Un día tranquilo y un crash son dos mundos distintos.
Antes esto era un equipo entero y meses de pruebas. Ahora es Ctrl+C y Ctrl+V.
Este video muestra cómo funciona el bot 👇
🚨| SOMEONE JUST MADE A 27B MODEL RUN 3.59X FASTER WITHOUT CHANGING THE MODEL.
EAGLE-4 just dropped and it beats every other method on the chart.
Same model. Same output. Way less waiting.
Profile → Draft → Verify → Adapt → 3.59x Speed.
→ MTP gets you 2.22x.
→ DSpark gets you 2.57x.
→ DFlash 2 gets you 2.80x.
→ EAGLE-4 gets you 3.59x on Qwen3.8-27B.
→ And it even runs on a phone CPU with 53.4% less energy per token.
I'll leave the GitHub repo below.
EAGLE-4 is here.
From EAGLE-1 to EAGLE-3, we’ve kept making inference faster.
EAGLE-4 is our fastest yet.
961.6 tokens/s on @Alibaba_Qwen’s Qwen3.8-27B with TokenSpeed (BF16, 4× @NVIDIA B300, TP4, one request, T=0).
Github: github.com/eagle-hq/EAGLE-4
🚨| UN LAB INDEPENDIENTE SE HA COLADO EN EL TOP 5 DE EDICIÓN DE IMÁGENES ENTRE OPENAI, GOOGLE Y MICROSOFT.
Krea 3 Ultra está #4 en el leaderboard de Image Editing de Artificial Analysis.
1151 de Elo, a un punto de Nano Banana 2.1 de Google.
Lo he probado con una foto real de una cafetería.
Foto Real → Prompt → Cartel Editado → Modo Noche → Resultado Final.
→ Le pedí cambiar solo el cartel y no tocó nada más.
→ El escaparate y la pizarra siguen exactamente igual.
→ Sobre esa misma imagen le pedí pasarla a noche.
→ Edición por zonas y por turnos, disponible ya.
THE TEAM BEHIND MALUUBA IS BACK, AND THEY'RE NOT BUILDING ANOTHER CHATBOT.
Years ago they shipped a "Siri for Android" before voice assistants were cool.
Microsoft ended up acquiring them.
Now they're back as @SkyfallAI with SKY-001, the first engineering world model.
Prompt or Sketch → Parallel Simulations → Part Decomposition → 2D to 3D → Full CAD Build.
→ 100x faster than GPT-6 Astra on CAD and BIM.
→ 150x cheaper.
→ Breaks complex objects down to the screws.
→ Output opens straight in Autodesk Fusion.
LLMs guess what a design should look like.
This one simulates it before building it.
Introducing SKY-001, the first Engineering World Model.
On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested:
-> 51-125x faster
- > 150-210x cheaper
-> Higher IOU than all frontier models
SKY-001 lets you dream a physical object before you build it.
18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch).
The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.