Illia (root.near) (๐บ๐ฆ, โ)
@ilblackdragon
Co-Founder @NEARProtocol. LLM co-inventor. @ekang426 husband.
460 Following 116.5K Followers
Hilarity happening on Ethereum where everyone front running your trades and they negotiating to cartel split the fees.
Or you can just use near(.)com and donโt worry about MEV and keep your trades private
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Playing non zero sum games pays off. Crypto space is growing more interconnected with @NEARProtocol unifying liquidity.
Market of markets
@andyyy Itโs the job for @near_intents - aggregate all perps and make them into simple api
@TrustlessState Encrypted commerce is good.
Encrypted markets - from crypto to AI both are token markets :)
For those who just (re)discovered $NEAR:
- Mission is all people own their assets, data and power of choice
- Vision is AI is the frontend, markets/blockchain is the backend
- Privacy is fundamental and enables the mission
- NEAR Intents is universal, private markets routed already $30B, integrated across all of onchain ecosystem from Ledger to ZODL to Metamask to Trust to Brave
- NEAR AI is private AI powering end to end encrypted inference in Brave, Venice, and more
- More products across ecosystem are developing to leverage AI x markets
- Apps in Web3 that donโt want to limit themself to one chainโs users use Intents to enable seamless connect by users of any chain
- near(.)com brings this whole vision together into a consumer product making private unstoppable liquidity and (soon) AI seamless
If you are using onchain and private products you are probably using NEAR.
And if you are struggling onchain - try near(.)com for seamless experience.
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I'm giving a keynote at @AIconference on October 1 in SF about why we need User-Owned AI.
It's clear that privacy is becoming an imperative for AI usage by businesses and individuals alike. I'll share how the @near_ai stack protects your data & IP.
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Time to switch to encrypted prompts with @near_ai
End to end encryption for your AI workloads is going to be prerequisites 2027
SITUATION DETECTED: Nvidia, Palantir, and Booz Allen Hamilton are restricting or eliminating the use of Anthropic and OpenAI models in some cases due to rising corporate data retention and intellectual property concerns, per The Information.
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The security model the whole industry runs on just broke.
For decades it was smart people audit the code and hope the attackers don't find what they missed.
Now the attacker is an AI with more compute than your defense, and the only real answer is to mathematically prove the code does what it says.
@ilblackdragon on the paradigm shift, and why @NEARProtocol is building its roadmap around proof.
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This keeps happening that models seem โdumberโ after initial launch.
Verifiable inference with @near_ai proves that you are using the same model and same code for inference in every response.
๐จ GPT-6 Astra (Launch) Vs GPT-6 Astra (Today)
Same exact prompt
But todayโs result looks noticeably worse
It genuinely feels like OpenAI nerfed Astra
Stake NEAR and donโt spend money while getting AI privately on @near_ai
Encrypt your prompts and money.
NEAR
Own your data goes both ways.
Encrypt your prompts so they stay yours.
Selectively offer data you want to get rewarded for.
Trace Commons.
Trace Commons V0.12 is out.
-Sign in to NEAR AI from the desktop app with GitHub or Google.
-Contribute without an invite when your session includes a receipt that Trace Commons can check.
-See which sessions have receipts and which you can submit.
-Import sessions exported from opencode.
Expect a bunch of minor releases in the v0.12 series in the next few days as we fix UI copy etc.
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Attestation reports on NEAR AI Cloud are verified against Intel's and NVIDIA's own services, at no cost, on every request. NEAR AI is not in the verification path.
Evaluating AI infrastructure for regulated datasets? Book a demo with our team of experts:
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Encrypt your prompts. Use @near_ai with open weight models with end to end encryption so nobody ever sees your data.
โผ๏ธ BREAKING: Chinese labs DeepSeek and Moonshot were quietly relaying customer prompts to Claude through fraudulent accounts. Users thought they were using Chinese AI, but were actually getting answers from Claude.
Their customers' sensitive data now is in Anthropic's hands. One user, who is tied to China's military, asked Kimi whether a person tracked across hundreds of CCTV cameras in Chengdu was behaving abnormally. DeepSeek passed along live credentials for a Russian government database, shared by an IT operator handling data from a Defense Ministry-linked agency.
The two Chinese labs relayed customer prompts to Claude through fraudulent accounts and saved the exchanges to train their own models. Moonshot forwarded almost 300,000 customer requests in a single ten-day stretch. DeepSeek flagged users running its models inside coding tools like Claude Code and OpenCode, then routed some of them to Opus.
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Every layer of the NEAR stack, one event. Both co-founders kick it off.
Virtual NEAR Day goes live tomorrow with @therollupco from 11amโ2pm ET.
Illia Polosukhin and Alex Skidanov open with a fireside on formal verification.
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AI should be owned by everyone.
Start by switching to private AI today
I left DeepMind after 7 years (and since rejected offers to join the other two) due to severe concerns about the concentration of power these labs represent.
What is currently happening in this field is deeply unhealthy for society.
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Fiat <> crypto movement should be easy.
@MeteorWallet made it easier today. Letโs push it even further tomorrow!
Getting your first $NEAR to join the rally?
No CEX needed โ go straight from fiat to $NEAR.
Get your $NEAR from fiat inside Meteor App TopUp feature
Enter your card details on your device and buy $NEAR directly with @GetOnramper or @mercuryo_io โ one click, best rates guaranteed.
Buy and stake $NEAR, all in one place meteorwallet(dot)app
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NEAR Intents private volume already did over $100M per day and 50% of total volume.
No other protocol in crypto has pulled something like this.
Making privacy mainstream.
"bro wat is near intents?"
An explanation of @NEARProtocol Intents, in (very) simple terms. ๐งต
Privacy is becoming a clear civilization level need.
Choose NEAR and stay private for AI and finance.
Anthropic Is building a surveillance system to monitor activists using a โpre-crimeโ approach that tries to predict incidents before they happen.
The extensive monitoring system that the AI company is building is aimed primarily at keeping tabs on activists who oppose the rapid development of artificial intelligence.
More from @DRBoguslaw below:
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