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Joined October 2024
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Tech & AI Hub retweeted
Still doing every step of your marketing workflow the hard way?
Let Dreamina help with asset creation for just $0.29 for the first month, then use CapCut PC to edit your video from start to finish.
CapCut Pro is 60% off and Ultra is 40% off on Desktop during the Oct 20–30 sale.
See the CapCut Black Friday deal: tinyurl.com/2v23rn22
Explore the Dreamina + CapCut combo: tinyurl.com/5xbtv4x6
#CapCutDidThat #Dreamina #Smallbusinessmarketing #CapCutSale
Tech & AI Hub retweeted
Your content workflow could use a creative upgrade.
Start with Dreamina to generate assets for just $0.29 in your first month.
Then switch to CapCut PC to edit, polish, and prepare your video for posting. CapCut’s Black Friday offer gives you 60% off Pro or 40% off Ultra on Desktop from Oct 20–30.
Get the CapCut PC deal: tinyurl.com/2v23rn22
Bring both tools into your workflow: tinyurl.com/5xbtv4x6
#CapCutDidThat #Dreamina #Smallbusinessmarketing #CapCutSale
Tech & AI Hub retweeted
If the $0.29 price isn’t showing, don’t search the whole site.
Use an official creator link and follow these steps:
1. Click my official creator link.
2. Scroll down the campaign page.
3. Tap the purchase button.
4. Register for Dreamina or log in.
5. Check that the price is $0.29, then complete checkout.
No hunting around, no guessing. Just make sure the discounted price appears before paying.
Tech & AI Hub retweeted
I clicked through expecting the price to change at checkout. It didn’t.
The official Dreamina payment page still showed $0.29.
Before anyone calls this fake, here’s the actual checkout price.
Tech & AI Hub retweeted
POV: your snack costs more than the AI membership you used to make this. 💀
Me opening Dreamina for a quick test and realizing the whole month costs just 29 cents.
#Seedance
Tech & AI Hub retweeted
I put the monthly prices side by side. Dreamina at $0.29 makes the rest of the chart look broken. 😂
Same month, wildly different bill. The tiny bar is Dreamina.
#Dreamina
Tech & AI Hub retweeted
Dreamina has never dropped a deal this big: a full month of Basic for just $0.29. Not a trial. Not a typo.
I’m proud to be one of 1,000+ creators officially chosen for this offer.
The $0.29 price is unlocked through an official creator link, so I’ve added mine below.
#DreaminaOnly29Cents #DreaminaPartner
dreamina.capcut.com/pricing/…
Tech & AI Hub retweeted
Going from a simple prompt or existing image to a clean, editable SVG could save a lot of time in real design workflows. The sharp typography and scalable output make this especially interesting.
Today, we’re introducing Ideogram's first vector model.
Generate clean, editable SVGs with smooth gradients and sharp typography from a text prompt, or turn any image into a detailed, scalable vector.
Live in Ideogram and the API: ideogram.ai/models/vector
Tech & AI Hub retweeted
More ideas. Less editing chaos. That’s the goal.
Dreamina’s first month is only $0.29 for creating assets, while CapCut PC helps you turn those assets into content worth sharing.
You can also save 60% on CapCut Pro or 40% on Ultra with the Desktop sale running Oct 20–30.
Shop the CapCut Black Friday offer: tinyurl.com/2v23rn22
Pair your creative process with Dreamina + CapCut: tinyurl.com/5xbtv4x6
#CapCutDidThat #Dreamina #Smallbusinessmarketing #CapCutSale
Tech & AI Hub retweeted
A codebase is more than the code inside it.
The commits, pull requests, and tests show how real developers solve problems, fix mistakes, and improve software over time.
That's why I find @datavendor_ai worth watching. It's opening up access to private repositories with that history intact, while giving AI labs quality checks to review before buying. For training coding agents, that context could be just as valuable as the code itself.
We're announcing the public beta of datavendor.ai
We spent the last two years building the best solution for people buying and selling data, whether you're a researcher in a lab or a company trying to sell data.
Data is the fundamental bottleneck for AI progress, and DataVendor will be the infra that solves it.
Tech & AI Hub retweeted
I'd let an AI agent search through training environments all day. I wouldn't let it spend my budget.
That's the part of @datavendor_ai that makes sense to me. Agents can search private training data, compare listings, and check quality signals through MCP. If a taskset looks promising, you can even run a sample in your own HUD workspace before committing.
But the actual purchase still happens in the web app. I think that's a better way to use agents. Let them handle the research and narrow down the options, while people stay in control of what gets bought.
🤝 Paid partnership
We're announcing the public beta of datavendor.ai
We spent the last two years building the best solution for people buying and selling data, whether you're a researcher in a lab or a company trying to sell data.
Data is the fundamental bottleneck for AI progress, and DataVendor will be the infra that solves it.
Tech & AI Hub retweeted
HeyGen Video 1 went up against today's leading video models in a blind test on @ArtificialAnlys.
Our first general-purpose video model ranked #1 in text to video.
Try it: platform.heygen.com/models/h…
Tech & AI Hub retweeted
🚨 Open-source healthcare AI just took a serious step forward.
Ling-3.0-flash-Sante brings 124B total parameters, 5.1B active per token, and stronger capabilities in medical reasoning, deep research, and tool use.
Its multi-agent BrowseComp score hits 90.47.
Now the weights are public. Let's see what the community builds with this.
Today, we’re officially open-sourcing Ling-3.0-flash-Sante.
Sante is a healthcare-enhanced MoE model with 124B total parameters and only 5.1B active parameters per token, delivering leading performance among similarly sized models on professional healthcare tasks and complex medical reasoning.
Beyond answering medical questions, Sante is built for real-world healthcare research and workflows, with strengthened capabilities in deep research, multi-agent collaboration, and tool use.
The model weights are now available — we welcome researchers, developers, and healthcare practitioners to explore Sante and build with it.
More below ↓
Tech & AI Hub retweeted
Medical AI is evolving from answering questions to handling complex workflows.
Ling-3.0-flash-Sante is now open source, with stronger medical reasoning, research capabilities, and multi-agent execution.
Its BrowseComp score rises from 73.85 to 90.47 with multi-agent collaboration.
The next chapter starts with what developers build using these open weights.
Today, we’re officially open-sourcing Ling-3.0-flash-Sante.
Sante is a healthcare-enhanced MoE model with 124B total parameters and only 5.1B active parameters per token, delivering leading performance among similarly sized models on professional healthcare tasks and complex medical reasoning.
Beyond answering medical questions, Sante is built for real-world healthcare research and workflows, with strengthened capabilities in deep research, multi-agent collaboration, and tool use.
The model weights are now available — we welcome researchers, developers, and healthcare practitioners to explore Sante and build with it.
More below ↓
Tech & AI Hub retweeted
Long interaction histories come with a storage cost.
MemT-1.0-Nano's architecture combines stable token-level memory updates built on Gated DeltaNet-2 with Mixture-of-Storage to scale native memory capacity.
TThis world-first memory-native LLM reports 66× lower persistent storage and 1.86× faster end-to-end inference at 128K tokens of history, compared with full-context KV cache.
For a given memory configuration, the persistent state stays fixed in size as history grows. That means a smaller storage footprint, with a tradeoff in how much historical detail it can preserve.
Check it: huggingface.co/collections/M…
Can large language models retain information from past interactions and reuse it in the next task?
Introducing MemT-1.0: Towards Memory-Native Evolution.
This time, we've built memory directly into the model architecture.
Our MemT-1.0-Nano and MemT-1.0-Flash make persistent memory part of model computation, carrying information across interactions.
Tech & AI Hub retweeted
Most brands don't struggle to find social data. They struggle to figure out what to do with it.
That's what makes @nectarsocialai interesting to me. It connects content research, creator outreach, and customer conversations with actual campaign results. Less jumping between tools, more focus on what works.
🤝 Paid partnership
Engineers stopped writing every line of code and started directing agents.
Growth and marketing teams are in that moment now.
Meet the next chapter of Nectar: the agentic growth stack. One platform replacing 5+ legacy tools. Agents that work every message, creator outreach and creative research about your brand, and tie it all back to revenue 🍊
Tech & AI Hub retweeted
There's no shortage of tools telling brands what people are saying online.
What caught my attention with @nectarsocialai is the next step: turning those insights into creator outreach and customer replies, then measuring what actually worked. That connection is where things get interesting.
🤝 Paid partnership
Engineers stopped writing every line of code and started directing agents.
Growth and marketing teams are in that moment now.
Meet the next chapter of Nectar: the agentic growth stack. One platform replacing 5+ legacy tools. Agents that work every message, creator outreach and creative research about your brand, and tie it all back to revenue 🍊
Tech & AI Hub retweeted
Another upgrade for open-source AI.
Ling-3.1-flash-1019 moves from 41 to 44 on the Artificial Analysis Intelligence Index, with stronger results across agentic benchmarks.
The interesting part? API access and open weights are on the way.
Developers should definitely keep this one on their radar.
Tech & AI Hub retweeted
AI agents are getting harder to ignore.
Ling-3.1-flash-1019 raises the Intelligence Index to 44 and improves performance on agentic tasks, with AutomationBench climbing from 62% to 68%.
This isn't just another model update. It's a step toward AI that can handle more real work.
Tech & AI Hub retweeted
Voice AI is moving way beyond basic text-to-speech.
Ming-3.0 brings expressive voice generation, audio understanding, and accurate speech recognition into one open-source model family.
It can summarize recordings, understand spoken questions, and generate natural voices with emotion.
This is the kind of AI infrastructure developers need.
Today, we're open-sourcing 5 Ming-3.0 models across 3 speech families.
- Ming-3.0-tts: 0.5B voice design & paralinguistic cues; Tiny 7.9B A1.3B long-form speech.
- Ming-3.0-audio: Flash 126B A6.5B understanding & tools; Tiny 9.3B A2.7B efficient dialogue.
- Ming-3.0-asr: Tiny 8.6B A2B dialects & context.
