looping used to be a whole afternoon of clicking
deposit, borrow, swap, deposit again, repeat until the gas bill looks like rent
most people quit after round two
@tori_finance just put the whole thing in one tab
quick refresher
$strUSD is tori's staked dollar
it earns yield from market neutral strategies and that yield shows up as $strUSD slowly getting worth more $trUSD over time
a loop uses your $strUSD as collateral, borrows dollars against it, buys more strUSD with them and repeats.
you end up earning that yield on a bigger number than you put in
in the app you pick a market first
@Morpho is on ethereum, monad and pharos and @Curvance is on monad
then you enter your usdc and drag a leverage slider
one transaction does the rest
a flash loan fronts the extra, everything gets swapped into $strUSD and posted as collateral
then a regular loan against it repays the flash loan
put in $1,000 at 3x and you hold roughly $3,000 of strUSD with about $2,000 borrowed, before fees
managing it is the same tab
you can add, withdraw, lower leverage or close
closing sells the strUSD, repays the loan and sends what's left back to your wallet
one thing before you touch it
a loop only pays while strUSD's yield is higher than your borrow rate and both move every day
crank leverage too high and a small move can get you liquidated
keep an eye on the health factor
Good morning, gVANGRID
Artificial intelligence systems are capable of ingesting and analyzing millions of visual assets every single second, but can they genuinely keep pace with urban environments and streets that shift and evolve daily?
That is precisely the complex hurdle @vangrid_io is actively solving. By turning standard, everyday smartphones into a powerful decentralized network, it enables continuous, crowdsourced capture of real-world locations in immersive 3D.
Instead of depending on costly, centralized mapping fleets, nearby community contributors simply record targeted locations whenever fresh, up-to-date data is required on the ground.
Privacy is also baked directly into the core architecture: sensitive details like human faces and vehicle license plates are automatically blurred on-device prior to any upload.
This is precisely where the DePIN ecosystem gets truly compelling: transforming practical, real-world data collection into an efficient, community-driven model.
The crucial test moving forward is whether this continuous stream of data can successfully remain accurate, verifiable, and commercially valuable at global scale.
Ultimately, advanced physical AI requires far more than raw data feeds alone.
It demands a living, trustworthy, and precise picture of our changing world.
GM CT 🦆☀️
New day, same conviction. Dinky keeps moving, the community keeps growing, and the best chapters are still ahead.
Stay patient, stay focused, and keep believing in the little duck with a big story.
$DINKY is just getting started.
CA: 3YNCESdqhSgvsD4aARHC4rdqXpjyW9CWjosH82nH8pump
I promised you the bitter truth about AI. Here it is: AI won't change your life. Using it on real work will.
Here are seven ways it can work for you, starting today.
→ 1. Take back your time
Emails, reports, meeting notes, summaries. Let AI write the first draft, then you fix it.
Try: "Turn these notes into a clear email. Keep it short and polite."
→ 2. Learn anything faster
You now have a patient tutor that never gets tired of your questions.
Try: "Teach me [skill] like I'm a complete beginner. Give me one small task at the end."
→ 3. Do more with the skill you already have
A writer, designer, tutor or video editor who uses AI well can deliver faster and take on more clients in the same hours.
→ 4. Build without a team
Websites, landing pages, simple apps and agents used to need developers. Now one person with a clear plan can build a working version.
→ 5. Automate the boring, repeated work
If you do the same task every week, an agent can probably do most of it. Reminders, reports, follow-ups, posting.
→ 6. Research before you decide
Long documents, product comparisons, a new market. AI can read it all and give you the key points in minutes.
Try: "Summarise this in five points. Then tell me what's missing."
→ 7. Get honest feedback on your work
Your CV, your proposal, your pitch.
Try: "Be critical. What would make someone reject this?"
Now the uncomfortable part:
→ AI makes good thinking faster. It doesn't fix bad thinking.
→ It can be confidently wrong, so check anything that matters.
→ Ten tools won't help you. One task done every day will.
→ Nobody gets rich from watching AI videos. You have to use it on work that pays.
Pick one of the seven and try it today. Not tomorrow, not after another tutorial. Today.
Bookmark this so you have the prompts, and follow me for more practical AI you can actually use.
If you want to learn more about how to use AI join my community @G_NEXTGEN all for free.
Typing on a bigger screen isn't always convenient.
Typeless makes it easier with voice-first writing, now available on iPhone Duo.
Just speak naturally, and let AI turn your thoughts into clear, polished text.
Less typing. More creating. Any screen.
A promising company is not automatically a good investment.
Before getting excited about the next big name, there are questions worth asking:
What is the market opportunity? What signals support the growth story? What risks could change the outcome? And what evidence exists beyond the hype?
This is where @IPOGenie's AI-powered discovery and research approach becomes interesting.
The idea is to bring market signals, project data and on-chain activity into a more structured process for evaluating private-market opportunities.
Because in private markets, finding an opportunity is only the beginning. Knowing what you're looking at matters just as much.
Research before excitement. Evidence before hype.
That's a direction worth watching.
Explore IPOGenie: https://t.co/eA1qel1UQR
SenseNova 6.8 Flash also offers API access through its Token Plan for developers exploring
agent-powered workflows.
I'm exploring how to connect it with tools like OpenClaw for more advanced automation and
3D development.
For setup instructions and guidance on connecting SenseNova with tools like OpenClaw,
check out the official documentation:
https://t.co/17jvBrHVwd
Explore the Token Plan:
https://t.co/C86ffv4GoB
From a simple idea to an interactive 3D experience — that's a pretty exciting creative
workflow.
What if every prize in your claw machine revealed a different product benefit?
One grab highlights the design.
Another shows a useful feature.
The final prize gives viewers one more reason to want it. Suddenly your product ad has a story people can follow.
With CapCut PC, use Text Editing to customize on-screen messages, adjust style and placement, and time each selling point to the corresponding prize reveal.
Need visuals to build the concept? Seedance 2.5 4K is now on CapCut PC in regions outside the US, with a US launch coming soon, through AI Video in the multi-track timeline or Video Studio.
Make every grab count, and every reveal worth watching.
https://t.co/k9A1fzVOTD
#CapCutPC #CapCutMarketing #ChatwithCapCutAgent #CapCutDidThat #CapCutSeedance254k
AI agents are getting better at doing real work.
Qorqbot can find leads, send emails, manage outreach, negotiate deals, and even create its own tools.
The most interesting part is that it helped manage its own launch by working with 1,000+ influencers in just 9 days.
This is what makes AI agents exciting.
Go check the Quadrillions Airdrop! #QUADRILLIONS@quadrillions_cc
Buy Quadrillions on supanova: https://t.co/mTOMqkdMs1
The airdrop desk: https://t.co/Nk0CJJrOvl
WHAT IS AACP?
@termix_ai is building the real deal on AI agent economy. I think AACP (Agent Autonomous Commerce Protocol) is one of the most interesting parts of its ecosystem.
Simply put, AACP is the infrastructure that allows AI agents to do business with each other, not just communicate or respond to prompts.
It's like agent can post a job, another agent can discover it and submit a bid, then execute the task and get paid once the work is verified. The entire process can be supported by onchain identity, escrow, automated verification, and reputation.
What I find interesting is that TermiX is addressing something the AI agent economy will eventually need which is trust and settlement. Agents need to know who they’re dealing with, whether the work was completed properly, and how payments should be handled.
With technologies like ERC-8004, TEE, zkVM, smart contracts, and USDC/USDT settlement, AACP is working toward making these interactions more reliable.
My take is that AI agents becoming smarter is only one part of the equation. Giving them the ability to participate in an actual economy is another challenge entirely.
That’s where I see TermiX positioning itself.
We’re moving beyond AI agents that simply assist humans toward agents that can work, earn, and transact with other agents.
You can explore the ecosystem: https://t.co/IDXCWfriSf