The AI world moves fast. We bring you the moments that matter. Tools ✦ Tips & Tricks ✦ Insights ✉️ Biz [email protected]
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Joined September 2026
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Maya retweeted
Venom lands on a car, leaving it in Venom’s signature colors. 🔥
The visual idea is one thing, but getting the final footage to feel consistent is another. CapCut’s Intelligent Grading helps fine-tune the look during post-production.
The CapCut plugin is coming soon to ChatGPT! You can get early access by opening CapCut Web’s Video Editor, selecting the plugin icon in the top-right, and sending its installation prompt through ChatGPT Desktop on PC. Then bring your generated footage into CapCut and polish the colors to match the mood you’re going for.
Desktop only for now. Mobile and web support are expected in mid-November.
#CapCutWorld #ChatGPT #CapCutDidThat #CapCutWeb
🤝 Paid partnership · 🤖 Made with AI
Maya retweeted
One bias. One iconic performance. One edit you need everyone to see.
The CapCut plugin is coming soon to ChatGPT.
#CapCutWeb #CapCutWorld
🤝 Paid partnership · 🤖 Made with AI
Maya retweeted
60% OFF CapCut Pro. 40% OFF Ultra. Both deals run through October 30! 🏁
With CapCut PC, you can turn a drink product photo into a creative racing commercial that makes the packaging part of the action.
➜ tinyurl.com/2v23rn22
#capcutpc #capcutsale
🤝 Paid partnership · 🤖 Made with AI
Maya retweeted
Running a freelance business shouldn't require 7 different tools and a photographic memory.
Your leads are in one place. Proposals are somewhere else. Project updates are buried in emails. And that invoice? You forgot to send it.
@_MonoDesk brings everything together in one workspace, helping you manage clients, projects, approvals, and payments without constantly switching between apps.
🤝 Paid partnership
You know us as your creative asset toolkit.
Now meet @_MonoDesk, a whole new app from our team, built to handle the boring bits of creative work.
Less time on proposals, chasing approvals and sending invoices. More time on the creative side of your business.
Maya retweeted
Your company's unused data could be worth more than you think.
Private codebases, internal documents, support tickets, and RL environments could help AI labs train better models.
@DataVendor_ai connects companies holding this data with labs looking to license it.
You set the price and retain ownership.
It's an interesting shift: the data sitting on your servers could become a valuable AI asset.
🤝 Paid partnership · 🤖 Made with AI
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.
Maya retweeted
Healthcare AI is moving beyond answering medical questions. 👀
Ling-3.0-flash-Sante is now open source, bringing stronger medical reasoning, deep research, tool use, and multi-agent collaboration.
The standout? Its BrowseComp score jumps to 90.47 with multi-agent collaboration.
Now researchers and developers can explore the weights and build their own healthcare AI workflows.
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 ↓
Maya retweeted
Open-source AI keeps getting more competitive.
Ling-3.1-flash-1019 delivers a higher Intelligence Index, stronger agentic benchmark scores, and a 6-point jump on AutomationBench.
The real test will be how it performs in everyday workflows.
API access and open weights are coming. This gets interesting fast.
Maya retweeted
Your next growth hire might not be a person. It might be a team of AI agents.
@nectarsocialai is building a new growth stack that finds creators, catches trends, monitors conversations, and turns social engagement into revenue.
Backed by $40M+ in funding and Anthropic's Anthology Fund, Nectar has attributed $150M in revenue to social for its brands.
Marketing is entering a whole new era.
🤝 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 🍊
Maya retweeted
You know us as your creative asset toolkit.
Now meet @_MonoDesk, a whole new app from our team, built to handle the boring bits of creative work.
Less time on proposals, chasing approvals and sending invoices. More time on the creative side of your business.
Maya retweeted
Consider this your sign to try a smarter content workflow. 🚀
Dreamina's first month for $0.29 + discounted CapCut Pro = as low as $6.29 combined.
Create your assets in Dreamina, then bring your ideas to life in CapCut PC.
🔥 Get in on the deal Oct 20–30, exclusively on CapCut Desktop.
#CapCutDidThat #Dreamina #Smallbusinessmarketing #CapCutSale
🤝 Paid partnership
Maya retweeted
🚨 Open-source voice AI is stepping up.
Ming-3.0 just dropped 5 models for generating speech, understanding audio, and recognizing speech across accents and dialects.
The standout part? Voice control goes beyond words, with emotion, pacing, emphasis, laughter, and sighs.
Audio AI is getting much more human.
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.
Maya retweeted
Your laptop might be more powerful than you think. 👀
@Recursive_SI just dropped Flint, a 40B coding model designed to run on your own hardware.
⚡ 125+ tokens/sec on an M4 Pro MacBook Pro
⚡ 150+ tokens/sec on RTX Spark for short prompts
⚡ Open weights, Apache 2.0
⚡ Your code stays local
Powerful coding AI without depending on the cloud.
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Maya retweeted
Today is the official start of CapCut Black Friday: save 60% on Pro or 40% on Ultra.
Available October 20–30, only on CapCut Desktop.
A promising AI-generated shot can have the right creative direction and still need a focused revision.
#capcutpc #capcutsale
🤝 Paid partnership
Maya retweeted
ANTHROPIC RELEASED CLAUDE SONNET 5.5
A new model built around code, agentic tasks and everyday work
What's new:
> 30%+ faster than Sonnet 5
> up to 30% cheaper per task thanks to lower token usage
> 70.6% on Terminal-Bench 4.0 versus 10.3% for Sonnet 5
> 55.5% on CursorBench 4.0, about 2 points below Opus 5.5
> on GDPval-AA the model nearly matched Opus 5.5
> better at long tasks, images, documents, spreadsheets and presentations
The most notable jump is in coding. Anthropic says Sonnet 5.5 gets through codebases faster, makes fewer tool calls and spends fewer steps completing tasks
API pricing:
> $2 / 1M input tokens
> $10 / 1M output tokens
> $0.20 / 1M cache reads
The model is already available in Claude, the API, AWS, Google Cloud and Azure
API ID: claude-sonnet-5-5
Save this. You’ll definitely need some of these later! 🔖
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Maya retweeted
122B parameters. Frontier-level performance. Runs on a single NVIDIA DGX. 👀
Ornith-1.5-122B is showing that powerful AI doesn't have to mean massive infrastructure costs.
Strong coding, serious agentic capabilities, and open weights under MIT.
No tradeoff between speed and intelligence? Now that's the kind of progress builders need. 🔥
🤝 Paid partnership
Aloha!🌺 Meet Ornith-1.5-122B: No Tradeoff Between Strong and Fast
Stronger. Faster. Leaner. Ornith-1.5-122B delivers frontier-level capabilities with exceptional inference efficiency. With superior instruction following, stronger task decomposition, and deeper understanding of real-world workflows, it achieves state-of-the-art performance among open-source models of comparable size, while running on a single NVIDIA DGX card!!
Open weights under the MIT license.
Coding
✅SWE-bench Verified: 0.845
✅TB2.1: 0.813
✅CyberGym: 0.800
✅NL2Repo: 0.512
Agentic
✅HLE: 0.446
✅BrowseComp: 0.785
✅MCP-Atlas: 0.746
✅Toolathlon: 0.708
🤗Hugging Face: huggingface.co/ornith-ai/Orn…
We can’t wait to see what you build with Ornith-1.5-122B.
Maya retweeted
Postgres just got a serious upgrade. 🐘
1,000 databases running on just 659 MB RAM is wild. And cloning one in 85ms? Even crazier.
PGX is built for a world where AI agents need databases everywhere, without the usual infrastructure overhead.
Rust. Open source. Free. This is worth watching.
🤝 Paid partnership
🚨Introducing a new database: PGX 🐘
Postgres for AI agents. In Rust. pgx.dev
One runtime. Thousands of Postgres databases.
⚡ Up to 100× less idle memory
⚡ 1,000 databases in just 659 MB RAM
⚡ Clone a 674 MB database in 85 ms
⚡ ~0.7 MB per idle database
RUST. OPEN SOURCE. FREE.
No containers per database.
No heavyweight instances.
No production baggage.
Real Postgres. Built to be disposable.
xitter.cf/alxshp/status/21100494…
Maya retweeted
Everyone talks about bigger models and faster GPUs.
But there's another piece of the AI performance puzzle: memory bandwidth.
Moving model data fast enough can make a real difference when generating tokens at scale.
@general_compute is bringing @positron_ai's memory-first inference technology to its cloud platform. Atlas comes first, followed by Titan.
A different approach to scaling AI inference.
🤝 Paid partnership
Our heterogeneous cloud just got better. We're announcing a cluster scale deployment of @positron_ai as our next partner.
We believe demand for fast inference will outstrip supply for the next decade. Our bet on Positron is another step towards getting fast inference for opensource models into builders' hands.
Hardware goes live Q1 2027.
Thanks to @mitesh711, @trsohmers and the whole Positron team! We're excited for this partnership.
LFG!
Maya retweeted
Scroll through marketing graphics today, and you'll notice something weird.
Different brands. Different products. Somehow, everything looks exactly the same.
Vyb is trying to change that.
Instead of generating another generic AI graphic, it starts with your real logo, fonts, colors, and product photos. Then it builds editable designs you can actually work with.
AI creativity is great. Losing your brand identity isn't.
🤝 Paid partnership
I launched the first image and video generation models at Google, and kept asking why all AI designs look the same.
AI has brought us the WORST era of design.
It made content creation effortless, but it also made 90% of it look painfully generic.
My co-founder and I spent 2 years building in stealth to change that.
Meet Vyb, the first AI design model that understands your taste like a designer would.
RT + comment your website URL and we’ll make your first design.
