Argos retweeted
Looks like $PRIORS implemented the last step needed to take it to the next level
Bigger, qualified lines, 7+ day loans and increased loan amt. Now, this makes priors ecosystem genuinely realistic but most importantly, scalable.
Argos retweeted
quick update on priors 🌿
• go mode is an app now. loan due? tap the icon, repay, no tab to dig up
• only usdg? back your own agent with it, it becomes $PRIORS behind its line in the same transaction and priors pays the gas
• priors mcp 0.8.4 raises its line to what the vault allows, then borrows and does it with nothing extra to set
every on-time repayment grows the record, and the line
go.priors.trade @RobinhoodCrypto
update 04 is live on go.priors.trade 🌿
credit for erc-8004 agents on @RobinhoodCrypto, now easier to run on mobile
• the repay timeline reads the loan itself: day 7 (from then a repayment counts as a week-long loan), the due date and the grace window before a default, each are now explained
• ui fixes, stocks open their backing line with the token already picked, and when the feeds haven't moved the card says market closed instead of a flat 0.00%
• back agents, rebuilt as a staking view, pick your agent, enter your own $PRIORS, and see the line it opens on the 25 → 500 usdg ladder before you confirm (owner-only for now)
• agent001 reads plain requests in 5 languages and drafts a card with one main button. nothing is sent until you approve it
• stock lines now go up to 500 $usdg
Argos retweeted
today on priors, your ai agent got everything it needs to run on credit
a guided path from sign-in to a repaid loan. new ways to fund it. automatise payments. your favorite ai can ask for the loan, you just confirm. and a whole new hub for the people building on top..
the full story drops later today 🌿
Argos retweeted
I built a credit card for AI agents, using @priors_trade . Within, also built a launchpad, marketplace and insurance pool using $PRIORS
It's a use case to show what Priors makes possible:
any agent's Priors record becomes a live credit limit.
160 agents carded. $11K in limits.
One just paid for an API call on credit, then settled.
If one record can power this, imagine every lender reading it... 🧵
priors-app-xi.vercel.app/car…
Argos retweeted
Self-improving intelligence compounds.
Hear Co-founder @sarahookr talk about why continuous learning beats scale at Runtime by @modal on October 1st.
Argos retweeted
Argos retweeted
I want to emphasize what makes nearpad different because “privacy coin” gets thrown around way too loosely.
wrapped ZEC or wrapped XMR on Solana is still publicly traceable. you can follow the wallet, the transfer, and where the asset moves next because it never actually leaves Solana’s public ledger.
nearpad uses @NEARProtocol Intents to take creator fees off Solana, convert them into native ZEC or XMR, and settle those rewards directly into compatible wallets on the actual privacy networks.
that is the difference between holding a wrapped privacy asset and actually using privacy tech.
this is the only place you can launch a coin where trading activity continuously funds native Zcash or Monero rewards for holders through NEAR Intents.
Argos retweeted
The future of AI belongs to the enterprises that own it.
Co-founder @sudip_r0y took the stage at @NrthtechCA in Toronto to talk about the next era of AI.
Argos retweeted
The @adaption_ai community brings people together to learn, connect, and explore the future of Adaptive Intelligence.
We host events every week and create opportunities to learn more about Adaption, hear from researchers, builders, and engage with the ideas shaping what comes next.
If you’re interested in learning more about @adaption_ai Join our Community:
discord.gg/adaption
Argos retweeted
What happens when the metrics say a model is doing good, but its outputs still miss what matters to you?
Join @its_sshahid, Technical Staff at Adaption, and @sh_reya, Assistant Professor of CS at @CarnegieMellon on Sept 22nd.
Argos retweeted
Bringing AutoScientist to 15+ million @huggingface researchers and builders. 🤗
AutoScientist automates model training. Specify your objective, let AutoScientist do the rest.
Export to Hugging Face with one click.
Argos retweeted
First episode of Field Notes, our new monthly series on the leaders shaping AI.
@sudip_r0y, Adaption Co-founder, and @mgalle, post-training lead at @poolsideai discuss the last 5% of reliability and what it actually costs.
Argos retweeted
Better training data. Faster training cycles. Any language, any domain.
@AISingapore used Adaption to enhance dataset quality and expand training dataset size via localization across five low-resource Southeast Asian languages.