From 17 August, Atlassian starts using Jira and Confluence data to train AI, and your protection depends on your plan.
Metadata: no opt-out below Enterprise.
Content: on by default on Free and Standard.
Privacy is a pricing tier.
https://t.co/wZ6iAnNoac
THORChain v3.20 upgrade is coming today.
TSS keyshares are now encrypted at rest, validator seed phrases move from env vars to file-based loading, and ADR-030 lands delegated node operator permissions: cold BondAddress, hot wallet for routine ops, no access to bonded RUNE. Ships now, activates in v3.21.
Churn resumes.
8.3 billion AI personas.
We’re getting closer to a world where human behaviour can be simulated at planetary scale.
The next question is: how do we know who’s actually human?
Liquify is expanding into private AI for enterprise
We are introducing Enclave, a managed platform for running AI on sensitive data without operating the hardware yourself.
Our web3 infrastructure continues as before. Enclave is a new layer built on the same hardware ⬇️
A question for every business adopting AI: could your competitors benefit from what your team shares with a chatbot?
Under many consumer AI terms, inputs can be used to train future models. Most organisations have never verified where they stand.
Every step toward 24/7 markets raises the bar for infrastructure.
Continuous pricing demands that RPC and node infrastructure remain fast and reliable every hour of every day.
Excited to see @PythNetwork pushing this forward.
🔥 Hyperion just signed an agreement with Skew Technologies to deploy 500,000 $HYPE toward launching HIP-3 perpetual futures markets and a new institutional listing service.
In simple terms: Hyperion is putting its HYPE to work. Skew will use this support to create new on-chain markets for institutions and partners on Hyperliquid.
Hyperion benefits in two ways: it gets equity in Skew, and it earns a share of listing-service revenue.
Why this matters: more markets on Hyperliquid could mean more activity, more demand for infrastructure, and more real utility for HYPE.
Thesis: $HYPE will do $4B of revenue in 2030 (up 8x from ~$500m run rate today) and be valued at $230/token (up 3.5x from today) NOT as a better crypto exchange but as the #1 winner of RWA perps.
Take: Market is missing that Hyperliquid is NOT JUST a crypto exchange but is becoming THE default venue for investors trading global markets 24/7 from equities and commodities to FX, indices and pre-IPO companies -- taking share from ICE / CME (combined ~$17B of annual revenue) not Binance.
Price Target: We believe Hyperliquid will be a $230/token in 2030 (up 251% from today) with $4B revenue in 2030 revenue.
$4B of revenue at 25x P/S implies $104B in outstanding market cap & $230B of FV in 2030.
Core Assumptions:
> Hyperliquid becomes a generational business from the growth of RWAs perps not crypto.
> Assume $HYPE captures 0.50% of entire 2030 Notational Trading Volume, taking share from CME and ICE.
> Hyperliquid processes ~$21T of annual RWA volume by 2030, at roughly 1.6bps blended take rate (perps is 2 bps, HIP-3 is 1 bps), that generates approximately $3.2B of transaction revenue
> HIP-3 is the #1 growth driver of $HYPE revenue moving forward (50%+ of transaction revenue, up from 15% today)
> Market is missing stablecoin revenue which will contribute another ~$1B annual revenue with $25B of supply and 4% reserve yield.
Full memo to drop tomorrow at 10am ET
Happy Hyperliquid Summit Day in NYC.
Hyperliquid.
The Liquify Portal has a fresh new look.
What’s inside?
• 50,000 FREE RPC requests every day
• Multi-chain support
• Faster, cleaner developer experience
Spin up your next project in minutes ⬇️