AI StackLab

AI Marketing and Growth | Tech Trends | No Code Tools | SaaS | DM/mail to Collaborate 📩[email protected]

[AI StackLab @AIStackLabX]

Give me your weirdest idea. I’ve got four free generations and no self-control.

Reply with a scene and let’s see what Seedance 2.5 can do.

Dreamina just rolled out a limited-time offer, so I’m putting those free generations to work:

🇺🇸4 FREE SEEDANCE 2.5 GENERATIONS ON DREAMINA — Queue-FREE. Just create. 3 days only.

Plus, the LOWEST PRICE starts at just $0.097/sec, applies wherever you are.

Check the banner on the website 👉 https://t.co/PJiPM4YwEC

#Dreamina #DreaminaPartner #Seedance25

[AI StackLab @AIStackLabX]

10 free MiniMax H3 generations is a nice launch bonus.

but the bigger thing for me is the workflow.

codex can describe what needs to be made.

@TopviewAIhq actually makes it.

that’s the connection i’ve been waiting to see.

[TopviewAI @TopviewAIhq]

Topview Plugin for Codex is here: the creative execution layer for your AI workflow.

To celebrate the launch, Topview subscribers can get 10 free MiniMax H3 video generations when using the plugin.

Generate video concepts, storyboards, images, and videos directly from Codex .

No switching between AI tools. No manual setup across different creative platforms.

Just install the plugin, describe what you want, and let Codex call Topview to create the asset.

From product videos and social clips to avatar explainers and voiceovers, your AI assistant can now produce real creative outputs.

#TopviewAI #Codex #AIVideo #AIMarketing #AIContentCreation

[TopviewAI @TopviewAIhq]

Topview Plugin for Codex is here: the creative execution layer for your AI workflow.

To celebrate the launch, Topview subscribers can get 10 free MiniMax H3 video generations when using the plugin.

Generate video concepts, storyboards, images, and videos directly from Codex .

No switching between AI tools. No manual setup across different creative platforms.

Just install the plugin, describe what you want, and let Codex call Topview to create the asset.

From product videos and social clips to avatar explainers and voiceovers, your AI assistant can now produce real creative outputs.

#TopviewAI #Codex #AIVideo #AIMarketing #AIContentCreation

[AI StackLab @AIStackLabX]

@MiguelMaestroIA Bro, this sounds way too real.

[Miguel Ángel | GptZone @MiguelMaestroIA]

ElevenLabs está en serios problemas...

Fish Audio acaba de lanzar S2.1 Pro y son una de las pocas compañías de IA de voz que también tiene modelos de peso abierto.

Acabo de clonar mi voz.

🔊 Sube el volumen y escucha esto:

[AI StackLab @AIStackLabX]

@IA_Quijote These are criminally underrated.

[Don Quijote de la IA @IA_Quijote]

URGENTE: DESCUBRE ESTAS APLICACIONES SUBESTIMADAS PERO INCREÍBLEMENTE BUENAS

15 Apps que parece imposible que hayan sido creadas por humanos...

[AI StackLab @AIStackLabX]

@viipin8 I can’t wrap my head around it

[AI StackLab @AIStackLabX]

@MiguelMaestroIA This is the point where spotting AI gets seriously difficult.

[Miguel Ángel | GptZone @MiguelMaestroIA]

Se acabó... nadie puede decir ahora que esto es IA.

Te enseño a crear vídeos como este ⬇️

[AI StackLab @AIStackLabX]

@IA_Quijote I need to check out @itsPolloAI

[Don Quijote de la IA @IA_Quijote]

Ves un anuncio de un producto que está funcionando.

Buen hook, ritmo, buenas escenas y estructura.

Y piensas "necesito hacer algo parecido para mi producto".

Con Pollo Agent 2.0 no tienes que construirlo desde cero 👇

[AI StackLab @AIStackLabX]

this is the kind of small feature that saves credits fast.

change the text, click twice, keep the same generation.

zeely makes ad iteration much less wasteful.

[Zeely AI @zeely_ai]

🦄Change the text on ad banner and keep your credits.

Click twice and edit without extra generation.

For the next 24 hours RT, follow, comment ZEELY👇 to start for brand scaling and $100 promo code for new users.

[AI StackLab @AIStackLabX]

@zeely_ai ZEELY

[Zeely AI @zeely_ai]

🦄Change the text on ad banner and keep your credits.

Click twice and edit without extra generation.

For the next 24 hours RT, follow, comment ZEELY👇 to start for brand scaling and $100 promo code for new users.

[AI StackLab @AIStackLabX]

86.1 on terminal-bench 2.1.

86 on swe-bench verified.

and a 397B MoE at the top end of the family.

ornith-1.5 is making a pretty serious case for open-source models.

[Ornith @ornith_]

Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies.

It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus 4.8 across reasoning, agentic, and coding tasks:
✅Terminal-Bench 2.1 (86.1)
✅SWE-Bench (86 on verified, 65.1 on pro, 79.6 on Multilingual)
✅DeepSWE (56)
✅HLE (44.6)
✅ClawEval (81.4)
✅Tool Decathlon (71.2)

Ornith-1.5 takes a major step toward training foundation models through end-to-end self-improvement, extending the self-scaffolding strategies introduced in Ornith-1.0 into a more complete self-improvement loop: the model proposes new tasks, generates task-specific scaffolds, and produces solution rollouts for reinforcement learning, continuously creating new learning experiences from which it can improve.

All models, along with their quantized versions (FP8, GGUF, MLX, and NVFP4), have been released under the MIT License, enabling unrestricted commercial and research use.
📘Tech Blog: https://t.co/OZ63scRWLB
🤗Huggingface: https://t.co/mGJLwhrQOM

[Ornith @ornith_]

Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies.

It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus 4.8 across reasoning, agentic, and coding tasks:
✅Terminal-Bench 2.1 (86.1)
✅SWE-Bench (86 on verified, 65.1 on pro, 79.6 on Multilingual)
✅DeepSWE (56)
✅HLE (44.6)
✅ClawEval (81.4)
✅Tool Decathlon (71.2)

Ornith-1.5 takes a major step toward training foundation models through end-to-end self-improvement, extending the self-scaffolding strategies introduced in Ornith-1.0 into a more complete self-improvement loop: the model proposes new tasks, generates task-specific scaffolds, and produces solution rollouts for reinforcement learning, continuously creating new learning experiences from which it can improve.

All models, along with their quantized versions (FP8, GGUF, MLX, and NVFP4), have been released under the MIT License, enabling unrestricted commercial and research use.
📘Tech Blog: https://t.co/OZ63scRWLB
🤗Huggingface: https://t.co/mGJLwhrQOM

[AI StackLab @AIStackLabX]

@IA_Quijote Definitely worth testing these overlooked NotebookLM features.

[AI StackLab @AIStackLabX]

@minchoi Super Wild🔥

[AI StackLab @AIStackLabX]

@ishanmkh @MongoDB @togethercompute @Xbow $800M in renewals is a crazy number @ishanmkh @rox_ai

[Ishan Mukherjee @ishanmkh]

Rox has been powering Global 2000 enterprises with $5T+ in combined market cap.

Today, we’re putting it in everyone’s hands.

Over the last 2 years, companies like @MongoDB, @togethercompute, and @Xbow shifted investment from legacy CRM and SaaS to Revenue Agents.

But most teams have been locked out.

They lacked in-house technical talent or FDEs required to set up the revenue-specific context, harnesses, and agent systems needed to run Revenue Agents in production.

Today, we launched Rox Teams to remove that barrier.

With Rox Teams, businesses of every shape, size, and vertical can activate Revenue Agents on their own.

Set up in minutes. No FDEs required.

https://t.co/DfzpGtKZJD

& Nolaned this hilarious explainer video 👇