Al Enthusiast | Ghostwriter | Empowering buisness models & personal brands to grow with latest tech trends. DM for collab ✉️
Florida, USA
Joined April 2022
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Alpha AI retweeted
🏆 $10,000+ in prizes
🔥 The hottest AI developer tools — all in one place.
🌟 100+ AI engineers from top AI Labs
🚀 The BIGGEST AI Hackathon of the Summer is here.
Alpha AI retweeted
Shanghai AI Lab just published a 58-page position paper trying to settle what "world model" actually means. Their definition quietly demotes Sora-style video generation from main event to side effect. Worth breaking down.
Alpha AI retweeted
Nobody tweets demos of policy evaluation, but this is the part of world models where the money is.
The real bottleneck in robotics right now: policies improve faster than anyone can physically test them. 324k simulated rollouts to grade policies attacks exactly that. The one number I'd want before trusting it, though, is the correlation between world-model score and real-world success rate. Policies exploit simulator errors. A great score inside the model can just mean the policy found the blind spots. The old model-based RL crowd had a name for this: hallucinating value.
Generation gets the demos. Evaluation gets the deployment.
Alpha AI retweeted
You can watch a million hours of people pouring coffee and still not know the wrist adjustment that keeps the cup from tipping.
That's the core problem this paper is attacking. Internet video teaches appearance; it doesn't teach action. Hence the number that matters here: 70,000 hours of embodied footage folded into web-scale pretraining. Huge by embodied standards, three orders of magnitude smaller than the web corpus it's mixed into. That gap (pyramid below) is the constraint the whole field is optimizing against — and the physics-consistency gains they report suggest the middle layer punches way above its weight per hour.
A video model that's built for robots!
As most video models learn appearance, this paper LingBot-Video tries to learn action, motion, and physical cause-and-effect.
It does this by scaling a sparse MoE video diffusion model, mixing internet video with 70k hours of robot, navigation, and egocentric footage, and training it with rewards for physical plausibility and task success.
So they basically turned a video model into a world model for embodied intelligence.
Alpha AI retweeted
Most AI world models can generate beautiful scenes.
Keeping those scenes alive for an hour without falling apart is the real challenge.
That's what caught my attention about LingBot-World 2.0 (LingBot-World-Infinity) from @robbyant_brain
Instead of chasing longer videos, it focuses on something much harder: persistent, interactive worlds that stay coherent while you explore.
A few highlights:
• Generates worlds from a single frame and continuously responds to live user actions through a causal world model.
• Streams stable 720p at 60 FPS in real time. The team reports a continuous 60 minute stress test across 20 different scenarios with no noticeable visual degradation.
• Uses a Brain-Cerebellum co-simulation framework where a VLM plans events while the video model turns them into consistent world evolution.
• Pilot and Director Agents help drive character behavior and introduce new objects and events.
• Open sourced with a 14B flagship model, while the paper also describes a lightweight 1.3B version for a single consumer GPU. There is also an online interactive demo.
The biggest takeaway?
We're moving beyond AI that generates clips.
We're getting closer to AI that generates living, evolving worlds you can actually interact with. And that feels like a much bigger shift than another jump in video quality.
Explore more:
💻 Github: github.com/Robbyant/lingbot-…
🤗 Weights: huggingface.co/collections/r…
🌐 Website-with videos you can use : technology.robbyant.com/ling…
🎮 Try it online: reactor.inc/lingbot-world-v2
#Robbyant #LingBot #WorldModel #EmbodiedAI #OpenSource #Robotics #ad
🤝 Paid partnership
Alpha AI retweeted
Why pay for multiple subscriptions when the outputs are the same?
Alpha AI retweeted
3/ Swarms use top models like Opus 4.8 and GPT 5.5 to create full-stack SaaS apps. Here is it building an entire CRM.
🤝 Paid partnership
Alpha AI retweeted
2/ Set up a mobile app, accept payments and create an end to end consumer business with ONE PROMPT - Build billion dollar businesses.
🤝 Paid partnership
Alpha AI retweeted
Introducing ChatLLM from @abacusai !
Harness the power of multi-agent swarms to create complex apps and automations all with simple English.
Check it out: Chatllm.abacus.ai
🤝 Paid partnership
Alpha AI retweeted
🚨 STOP PAYING FOR SO MANY AI SUBCRIPTIONS AND SERVICES
$20 for ChatGPT
$20 for Claude
$500 for Writer
$1000 for Designer
$10000 for Developer
Multiple subscriptions. Same outputs.
There's a smarter way to get premium AI without the premium bill ↓
🤝 Paid partnership
Alpha AI retweeted
GPT-style chat is cool.
But agentic execution is the real battleground now.
Ring-2.6-1T looks engineered for exactly that:
orchestration, routing, coding, planning, and reliable long workflows ⚡
We are launching Ring-2.6-1T, a trillion-parameter flagship thinking model engineered for real-world complex tasks and production env: 🚀
- Adjustable Thinking Effort: dynamic compute mechanism to flexibly balance cognitive depth, token cost, and execution speed;
- Agent-Optimized: Built for high-frequency workflows, delivering rapid multi-step execution and tool orchestration with SOTA stability;
- Deep Thinking: Unlocks the model's maximum capability ceiling for rigorous mathematical logic and scientific research;
Alpha AI retweeted
This thread quietly explains why so many brands fail internationally.
They export products… instead of translating meaning.
Features travel. Feelings don’t.
What feels “premium,” “safe,” or “aspirational” in one market can read cold, risky, or irrelevant in another.
🤝 Paid partnership
Alpha AI retweeted
Depth that holds up in the real world is rare. This feels like one of those moments where perception research actually crosses into usable systems.
🤖 Ever seen a robot get confused by a glass door? That era is ending.
Today, we're open-sourcing LingBot-Depth, a new spatial perception model that lets robots truly *see* the physical world, including transparent & reflective objects.
It even surpasses top-tier industrial depth cameras in core metrics. A new sense of sight for embodied AI.
#EmbodiedAI #Robotics #ComputerVision #OpenSource #DepthCamera
Alpha AI retweeted
One creator.
Hundreds of AI influencers.
Higgsfield turns your ideas into an army of on-brand AI personalities, each capable of posting, engaging, and earning.
That’s not content creation.
That’s an influence engine.
@higgsfield_ai | #Higgsfield #AIInfluencerStudio
Alpha AI retweeted
The old model:
Create → Post → Hope
The new model:
Create → Deploy → Earn
AI Influencer Studio + Higgsfield Earn gives creators built-in monetization instead of chasing brand deals.
This is what scale looks like.
@higgsfield_ai | #Higgsfield #AIInfluencerStudio
Alpha AI retweeted
Your next top-performing influencer might not sleep, age, or miss a post.
Higgsfield AI Influencer Studio lets creators launch AI personas to grow audiences and earn money continuously.
Welcome to infinite creators.
@higgsfield_ai | #Higgsfield #AIInfluencerStudio
Alpha AI retweeted
AI Influencer Studio didn’t just simplify creation.
It turned influence into software.
You design personalities.
Higgsfield runs distribution.
Higgsfield Earn handles monetization.
Creators finally get a real stack.
@higgsfield_ai | #Higgsfield #AIInfluencerStudio
Alpha AI retweeted
Forget chasing virality.
Higgsfield lets you build systems of influence — multiple AI influencers, each optimized to perform, grow, and earn.
This is how solo creators compete with media companies.
@higgsfield_ai | #Higgsfield #AIInfluencerStudio
Alpha AI retweeted
What YouTube did for video,
Higgsfield is doing for influence.
Anyone can now create professional-grade AI influencers and get paid based on performance, not popularity.
The playing field just leveled.
@higgsfield_ai | #Higgsfield #AIInfluencerStudio