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Farlane
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Farlane
@base10_
AI | Tech | Creator Economy || Sharing tools, trends & ideas daily.|| Let’s grow together ||. |Collabs; 📩 [email protected] or DM.
Florida, USA Katılım Ekim 2021
4.7K Takip Edilen160.8K Takipçiler
Farlane retweetledi
@Kanojiyaaakash1 Benchmarks get attention. Production-ready capabilities create lasting impact.
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Farlane retweetledi
This is the kind of AI research I like seeing.
Every breakthrough eventually has to answer one question:
Can developers build better products with it?
More accurate retrieval.
More reliable visual grounding.
More controllable generation and editing.
Those improvements solve real product problems, not just benchmark problems.
When research moves from papers into production workflows, that's when it starts compounding in value.
Interesting to see this coming from 360 AI Research Institute, the AI research arm of 360, a leading Chinese cybersecurity and tech company.
Shruti@heyshrutimishra
BREAKING: Chinese cybersecurity company just found a way around one of AI's most expensive problems. Meta built an AI model called SAM that could outline any object in a photo. The catch: it needed millions of hand-labeled images to learn how. 360 AI Research's new ECCV 2026 paper, MoSA teaches AI to recognize objects by watching video move. No human labels. 10,000 hours of unlabeled video. 21 million+ self-generated labels. Zero humans in the loop. Learn more 🧵👇
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Real-time avatars keep getting more lifelike.
Dynamic emotions, expression style control, improved lip-sync, and up to 70% faster inference are meaningful improvements, especially for customer support, AI assistants, and interactive experiences.
Ben Carr@benatanam
We’re launching cara-4, @Anam__ai new flagship real-time avatar model. Avatars can now adapt their emotion and expressions throughout the conversation, while builders stay in control of how they perform.
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@benatanam @Anam__ai Dynamic emotions make real-time avatars feel far more natural.
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Farlane retweetledi
Farlane retweetledi
All Paid Courses (Free for First 4500 People)
𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
(72 Hours only )
Like + RT + comment ' Drive '
Must Follow me so I can DM you.
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Farlane retweetledi
Healthcare has spent years trying to fit general-purpose AI into specialized workflows.
Maybe the better approach was always building AI around healthcare from the ground up.
Enterprise ownership and lower inference costs make this an interesting direction.
Weiran Yao@iscreamnearby
The strongest healthcare LLM, custom-built for your enterprise, owned by you🌸 Meet @actAVAai Cura: 1T agentic model trained by recursive self-improvement for long clinical + health admin workflows Try: actava.ai/cura Share your use case: $20 credits + early access👇
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Everyone talks about benchmark scores, but enterprise adoption usually comes down to deployment, governance, and cost.
If AI can automate complex healthcare workflows while letting organizations keep control of their data, that's a much bigger conversation than model size.
Weiran Yao@iscreamnearby
The strongest healthcare LLM, custom-built for your enterprise, owned by you🌸 Meet @actAVAai Cura: 1T agentic model trained by recursive self-improvement for long clinical + health admin workflows Try: actava.ai/cura Share your use case: $20 credits + early access👇
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The strongest healthcare LLM, custom-built for your enterprise, owned by you🌸
Meet @actAVAai Cura: 1T agentic model trained by recursive self-improvement for long clinical + health admin workflows
Try: actava.ai/cura
Share your use case: $20 credits + early access👇
English
@iscreamnearby @actAVAai The administrative side of healthcare is where so much time gets lost. Excited to see more AI focused on solving those real operational bottlenecks instead of just chasing benchmarks.
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Farlane retweetledi
Anthropic Engineer Andrej Karpathy:
"The biggest mistake in AI right now: people are forcing agents to work instead of mastering the model first.
We made that mistake in 2016 at OpenAI. It cost us 5 years."
What Karpathy actually means:
step 1 → stop forcing your agent to do everything. Understand the model underneath first.
step 2 → demos are easy; products take a decade. Self-driving proved it. If you skip the foundation, everything breaks.
step 3 → the agent is not the product. The foundation is. Build that—and agents emerge on their own.
"You're building agents right now. You're at the forefront. Not OpenAI. Not DeepMind. You."
watch - bookmark
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Farlane retweetledi
I saved so many AI video credits just by switching one setting... and I barely noticed the difference. 🤯
I generated the same video using both:
→ Dreamina Seedance 2.0
→ Dreamina Seedance 2.0 Mini
Seedance 2.0 Mini is faster, more affordable, and provides the same quality!!
📣 For US users, Mini has just launched—grab the limited-time discount before it's gone!
Get 55% off membership plans, plus nearly 50% lower credit costs for Dreamina Seedance 2.0 Mini.
For non US users,
Dreamina Seedance 2.0 Mini is officially available globally!!!
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Farlane retweetledi
"This technology is so bad. Why can't it work the way I expected?"
That was @alexisohanian on 30yrs of dictation tools.
Co-founder of Reddit, runs @sevensevensix now, writes a lot of emails, social posts and has so many AI agents.
Then he tried Willow:
> 175 words/min by voice (his typing tops out near 100)
> 2hrs+ saved every day
> first voice tool that "actually worked really well"
His take on the switch: "you'd be hard pressed to go back."
We wrote up how he uses Willow. Link below
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Farlane retweetledi
LingBot World 2.0 shows that the biggest challenge for interactive world models is not higher resolution. It is maintaining a coherent world over long periods without visual drift.
Robbyant's new open source LingBot World Infinity introduces a causal, action conditioned world model that generates an interactive world from an initial frame and continuous user inputs. The system is designed for hour scale generation with stable 720p 60 fps output while expanding the world through an agentic framework that introduces new events as you interact.
What stands out is the complete system design. A Brain and Cerebellum architecture combines a vision language model for reasoning and event planning with a video generator that turns those decisions into coherent world rollouts. A pilot agent controls character behavior while a director agent keeps introducing fresh events so the experience continues evolving.
The release includes the 14B primary model; the paper also describes a 1.3B lightweight variant designed for deployment on a single consumer-grade GPU.
The paper is also refreshingly clear about its current limitations. It does not claim true long term memory and acknowledges that areas outside the context window are regenerated rather than recalled, making the world persistent in appearance but not in identity.
Projects like LingBot World 2.0 are pushing interactive world modeling from short demonstrations toward systems that can support longer, richer, and more dynamic experiences for embodied AI.
Github:github.com/Robbyant/lingb…
Try it online: reactor.inc/lingbot-world-…
Weights: huggingface.co/collections/ro…
@robbyant_brain
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Farlane retweetledi
All Paid Courses (Free for First 4500 People)
𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 2)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
(72 Hours only )
Like + RT + comment ' Drive '
Must Follow me so I can DM you.
English
This is actually insane.
We're watching websites go from static pages to self-improving growth engines.
The line between software and employee keeps getting blurrier.
NoimosAI@noimos_ai
Introducing NoimosAI Website Builder: The Self-Improving Web. Now you can build, launch, and drive traffic to a beautiful website 24/7 without writing code, dealing with complex setups, or creating content manually. Your website shouldn't just exist—it should get traffic.
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Farlane retweetledi
Tired of the exhausting Mental Drafting Toll before every message? That constant inner rehearsal drains your energy. Typeless 2.0 ends it today. Speak your raw thoughts .. messy or scattered and get instant, polished writing. No pre-drafting. Just think out loud.
Live now on Mac, Windows, iOS & Android
Huang Song@huang_song_
Every message has a hidden cost — paid before you type a single word. We call it the Mental Drafting Toll. Before a message, an email, or a document leaves your mind, you first draft it internally. You organize your thoughts. Find the right words. Structure the message. Rewrite it until it sounds right. It happens every time you communicate. And we've accepted it as "just thinking." But it's not thinking. Thinking is the fast, messy, creative part. Mental drafting is the invisible work of making those thoughts presentable. And traditional dictation never removed it. Voice typing only freed your fingers. You still had to draft it in your head first — then say it out loud. That's the problem we set out to solve with Typeless 2.0. For the first time, you can skip the mental draft — and just think out loud: Speak in whatever order thoughts come. Add context as it comes to you. Change your mind halfway through. Forget a name? Describe it — Typeless fills in the exact one. It never makes things up. Typeless doesn't just understand your words. It understands your thoughts before they become words — and turns them into clear writing. You think it once. Typeless writes what you meant. Available today on Mac, Windows, iOS & Android. Messy thoughts in. Clear writing out.
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