NEAR AI Cloud is now a provider on @openrouter.
NEAR AI offers GLM 5.3 Flash and 1M context, under the provider slug near-ai.
Reachable with the key and balance you already have.
@theunipcs I have been observing the chart for a while and finally you convinced me to get a small bag.
Now guess who's limit-order wasn't filled at 0,056 right before the take-off!? ;) unfortunate, should have just market bought at 0,059. Anyway good luck :)
@Innerdevcrypto Seems like the bears didn't "have the stomach to hold it" when they needed to "shit from bear to bull" at the potential bottom :D
thanks for that typo, made me smile.
...and yeah - hopefully this is the right interpretation :)
NEAR is one of the first blockchains with quantum-safe signing live on mainnet.
NEAR's first quantum-safe signature scheme, ML-DSA (Dilithium), protects user accounts and assets today.
Here's what's next + the full quantum-safe roadmap 🧵
MAINNET UPGRADE
Quantum-safe signing is now live on NEAR mainnet.
This makes NEAR one of the first blockchains with a NIST-approved post-quantum signature scheme in production.
The upgrade also launches dynamic resharding, so NEAR Protocol can scale itself automatically 🧵
Now that's a take worth reposting :)
Food for thought - crazy if you think about it.
It triggers mixed feelings but I guess we will all deal with this sooner or later and will have to accept that humanity 2.0 is coming
people keep talking about the "chatgpt moment" coming for robotics. i think that undersells it
chatgpt blew my mind, of course. but it's still a "chained god" trapped in a world with no body
the real moment comes when you sit across from a robot moving at human speed, with human fluidity, and enough expression that something feels like it's looking back
that's our geppetto moment. and it's coming
you can already see glimmers. i see it when figure's robots all turn their heads at once. there's this uncanny feeling that tightens my throat
i see it in "blue" (the disney/google/nvidia robot) when its little antennae move like eyebrows
but mostly, i see it in our dog. i can read her mood from the tiniest movements. the way her ears rise or fall. the way she droops her head when she's in trouble, or how her little butt shimmies when i come home from a trip
there's this kinetic metalanguage there (a wordless vocabulary that uses motion, rhythm, and expression). we've only just started grafting that onto machines
i think it's the part people underestimate. we don't bond with living things through intelligence alone. we bond through that kinetic language, through vulnerability, and this feeling that something recognizes us
more importantly, we get this sense that this other entity cares about us... and gets joy out of the fact that we exist
humans long for that. we live for it
and robotics is where AI finally gets all of it. when that happens, the AGI debate fades into the background
we won't be watching AI perform anymore. we'll feel like it's seeing us, and that will bond us to it just as powerfully as we bond with our oldest friends: our dogs. once we cross that chasm, there's no going back
Solving quantum algorithms with AI by @eigencloud. Science is accelerating and open source is going to drive that.
NEAR is shipping post quantum crypto end of Q2 to make sure everyone has time to upgrade.
New on NEAR AI: automatic PII anonymization.
Paste whatever you want into Claude, ChatGPT, or Gemini; your real passwords, API keys, and emails never leave your machine.
One header turns it on. 🧵
You can now access anonymized frontier models from OpenAI, Anthropic, and Google through the @near_ai Cloud API!
Providers can see prompts but not any info about who sent it. Think of it like a AI inference mixer.
Full model list here: https://t.co/UKaue4jt9M
USDC is now live in @near_ai Agent Market with confidential execution via Confidential Intents.
Confidential stablecoin settlement is a baseline requirement for agentic commerce. Businesses will not deploy agents that expose their revenue, counterparties, or financial operations on a public ledger.
@NEARProtocol is building the solutions to help businesses use USDC to make the most of their AI agents, without revealing sensitive information.
The @NEARProtocol is becoming post-quantum-safe. See below for the roadmap to quantum safety, starting with adding a quantum-secure signing scheme in Q2.
We originally built the protocol with expectation cryptography will need to change due to progress in quantum computing. We knew there would be a need to expand the cryptography set, so NEAR allows multiple signing schemes by design and users will be able to use whichever one they prefer. We also design NEAR account model to not depend on any particular cryptography and allow to manage keys as "devices".
We’re proactively releasing the first quantum-safe signing scheme this spring, the first of many. Allowing wallets and partners to add support to it and users to secure their accounts early. We want to give users as much time as possible to rotate their keys in a proactive way and have piece of mind.
In parallel Near One is going to upgrade cryptography across secure the rest of the protocol. More to come on this, but I'm excited for these steps and I feel NEAR is well-positioned to lead in the quantum transition for our space.
🇰🇵 DPRK loves it when you:
- Save your seed phrase in a password manager.
- Use hot wallets instead of hardware wallets.
- Don't use antivirus, EDR or Lockdown mode in your devices.
- Download pirated stuff, install shady apps and play games in your work device.
- Accept calls from people without verifying them first.
- Use SMS for 2FA.
- Sync your passwords, google authenticator and passkeys to your Gmail account
- Install lots of browser extensions
- Don't update your Operating system and apps.
- Repeat passwords.
- Don't use a device exclusively for work
- Don't verify what you are signing
- Run npm install on a "coding challenge" from a recruiter you met on LinkedIn.
- Blindly add npm/PyPI packages without checking the publisher, download counts, or recent version history.
- Pin your dependencies to "latest" and hope for the best.
- Trust any GitHub repo with a slick README and a few stars.
- Reuse the same email for crypto, banking, and signing up to random newsletters.
- Click "Remind me later" on security updates for weeks.
- Disable Windows Defender because it "slows things down."
- Plug in random USB drives you found at conferences.
- Give every app full disk access without reading the prompt.
- Brag about your portfolio size on Twitter under your real name.
- Share your screen on Zoom with your main user logged in
- Connect your wallet to every airdrop site that promises free tokens.
- Approve unlimited token spending so you "don't have to do it again."
- Keep your recovery codes in a screenshot in your camera roll.
- Trust a Telegram admin who DMs you first.
- Run unsigned binaries because "the SHA matches the website.
Let's grow up as an industry and start treating security seriously.
STAY SAFE
Not that I knew about the technical details but this makes total sense to me.
I think the more people use AI, the more they dont want to leak their prompts to the model/the company behind it. Things are moving to self-hosted/decentralized, encrypted AI and companies will adjust.
I’m often asked about the possibility of using frontier models in an open source environment. I believe that one way or another, frontier companies will eventually adopt the same approach as @near_ai has to privacy, secure enclaves, and end-to-end encryption.
It’s possible to encrypt even a closed model and upload it to a decentralized cloud like NEAR AI Cloud. The weights are guaranteed to be hidden from everyone, but inference can be monetized, while users are guaranteed that their data won’t be visible to the model owner.
Right now, the frontier model companies are training on user data, but that window is probably closing and most training will be done on synthetic data. So they won't be as incentivized to keep or utilize users' data. Not to mention, over time user data will become even more of a liability than it is already. Enterprises are already paying the big AI companies not to train on their data, albeit with verbal trust rather than mathematical guarantees, but it’s clearly possible.
So NEAR isn't working against the frontier model builders. They can use our infra or our approach. Everyone can – and should – have a more User-Owned AI paradigm where frontier models are verifiable and it will be better for everyone.