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Persistence 2023 Liquid Staking Roadmap Update
April 27, 2023
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The Appchain for Liquid Staked Tokens (LSTs)

A hub is best defined as the effective center of activity. Persistence has embarked on a journey of becoming the center of activity for liquid staking in recent years. From pioneering a liquid staking solution for ATOM with pSTAKE to evolving into an appchain for liquid staked tokens–native issuance of & DeFi for LSTs, this journey so far can be best described in a single word: ‘Persistence’. Persistence Labs & the community continue to persist in bringing the vision of being a one-stop-shop for liquid staking to life.

With $17.32B in TVL, Liquid Staking is now the #2 DeFi category on DeFiLlama. It has seen exponential growth and adoption in the last two years and is primed to be at the forefront of DeFi in 2023 and beyond. Most of this has been driven by Ethereum and the Shapella upgrade. But the Core-1 team believes that Cosmos and other major ecosystems, such as the BNB Chain, have immense untapped potential & a huge role to play in LSTs becoming the most popular DeFi asset class.

A quick look at Persistence today

Thanks to these key advancements, on-chain activity is booming like never before:

What’s next for Persistence

With the basic building blocks for a thriving liquid staking economy coming into place, the Core-1 team believes that the focus should now shift to three key aspects: On-chain TractionExpanding the Ecosystem, and Bolstering Infrastructure. The 2023 roadmap mentioned below dives into individual points under these three aspects for the next few months and how each benefits Persistence & its various stakeholders, all powered by XPRT.

1. On-chain Traction

Potential Partner chain for Replicated Security

Replicated Security is a new shared security model in which the Cosmos Hub will rent its security to partner chains. This gives birth to the ATOM Economic Zone (AEZ), an ATOM-aligned ecosystem for economic value creation, including the LSM on the Cosmos Hub. Onboarding as a partner chain will give the Persistence Core-1 chain a boost of ~80X in terms of Economic Security. The Core-1 team believes that adopting Replicated Security will help Persistence enter and eventually become a big part of this AEZ alongside others like Neutron & Stride. In the coming weeks, the Core-1 team will work with Informal Systems & others in Cosmos to evaluate the best way to be a partner chain and discuss that with fellow Persisters & Cosmonauts through various public forums.

Support for LSM (Liquid Staking Module, built by Iqlusion)

The LSM is a module built to empower use cases for natively staked tokens. Persistence aims to be the first chain to enable the LSM and be the playground for the entire Cosmos to test its novel benefits. With the LSM on the Core-1 chain, stake delegators can perform transactions that were impossible before, like moving staked tokens between wallets or converting their native stake to liquid stake. The LSM will benefit the eventual launch of stkXPRT by pSTAKE, allowing already staked XPRT to be converted into liquid staked stkXPRT without going through the 21-day unbonding period. The Core-1 team will also contribute to bringing the LSM to the Cosmos Hub (planned for Q3 2023). The LSM was added to the Persistence Core-1 testnet on Monday, 24th April 2023.

Add Oracle with price-feeder

An Oracle connects blockchains to external systems and enables decision-making for existing contract logic based on these data inputs. Besides providing essential price data feeds, the Oracle will also filter & authenticate the integrity of the information crucial for executing specific contracts in a decentralized manner, such as Dexter’s Metastable pool and Bamboo’s Borrowing/Lending mechanisms. Over time, the Oracle will also become a revenue generator for XPRT validators & the chain itself. For reference, 40% of the blocks produced by Umee, a money market app chain in Cosmos with 20 listed assets, contain 95+ txns each related to the Oracle. The Oracle was added to the Persistence Core-1 testnet on Monday, 24th April 2023.

MEV-capture with Skip Protocol

The Core-1 team believes that a sovereign MEV solution will ensure maximum value capture & minimum value leakage when it comes to MEV on the chain. Skip Protocol is creating modular tools that give the app chain complete control over transaction ordering and inclusion rules. For example, let’s assume Dexter has a $100 arbitrage opportunity. Instead of an MEV bot extracting this value, Skip’s Proto-Rev module on the Persistence Core-1 chain can extract this value to be distributed to XPRT stakers finally. On-chain MEV will increase with the increase in on-chain activity (thanks to pSTAKE, Dexter, Bamboo, & other dApps in the future), resulting in a new source of yield for XPRT stakers. Over $7M in MEV has been extracted from Osmosis in 2 years since its genesis. Integrating with Skip will allow more value to be extracted and distributed to XPRT stakers.

Native $USDC on Persistence

Stablecoins like USDC are one of the best examples of product-market fit in Crypto, with a total market cap of $130.73B. Stablecoins in Cosmos have majorly been decentralized CDP-based like $CMST, $SILK, or bridged like $axlUSDC & $gravUSDC. However, Noble, a general asset issuance chain in Cosmos, is bringing native $USDC to Cosmos. For comparison, ecosystems like Solana, Polygon, and Arbitrum all have $1B+ in native stablecoin liquidity. The Core-1 team will look to collaborate with Noble to utilize cosmos-native $USDC for ecosystem dApps such as Dexter & Bamboo.

New dApps #BuiltOnPersistence

Earlier in Q1 2023, the Bamboo team came out of stealth with their vision of creating a borrowing/lending protocol for LSTs. Bamboo is still under development & is expected to go live in the coming months. Another external team has started to develop a vault product around liquid staking on the Core-1 chain. If you or someone you know is interested in building exciting use cases for LSTs on Persistence, please contact the Core-1 team here.

2. Expanding the Liquid Staking Ecosystem

Bring non-cosmos native LSTs to Persistence

The Core-1 team will work closely with the pSTAKE team to bring EVM-based stkASSETs issued by the pSTAKE protocol (like stkBNB & stkETH) to the Core-1 chain in partnership with bridge/interoperability protocols like Axelar. This will further cement Persistence as the center of liquid staking activity.

Enhance the Core-1 chain’s security

The Core-1 team believes the Persistence Core-1 chain will become the center of liquid staking activity. Hence, expanding to as many security avenues as possible is in the chain’s best interest. In line with that, the Core-1 team will actively explore and consider the different options available in Cosmos today–Replicated Security, Babylon’s Bitcoin Security, & Mesh Security. This will improve the chain’s security significantly and open a new dimension of economic dialogue–imagine an appchain for liquid staked tokens secured by the Cosmos Hub, Bitcoin-grade security & other chains in Cosmos. The Core-1 chain is already live on Babylon’s testnet as of April ‘23.

Revamp $XPRT Tokenomics

Various community members have recently voiced their opinion and made a case for revamping the $XPRT tokenomics considering the increased on-chain activity & the upcoming XPRT halvening. The Core-1 team is working closely with Persisters in driving this community initiative by opening a direct dialogue & collating various ideas. In the coming months, community members will take this discussion public on the Persistence Forum, followed by a consequent on-chain governance proposal.

Enable IBC v6

IBC v6 will allow dApps such as pSTAKE to scale to more Cosmos native stkASSETs seamlessly. Expansion of pSTAKE to support other IBC-enabled chains will further increase on-chain activity by resulting in more txns, chain TVL, & IBC volume with Persistence’s peers. IBC v6 will also enable Fee Middleware, an on-chain mechanism to fund relayers for Persistence’s IBC connections to scale sustainably.

Improve CosmWasm Dev Tooling

The Core-1 chain is a semi-permissioned CosmWasm-enabled chain. This requires the Core-1 team to work closely while onboarding external teams like Dexter. By improving dev tooling for CosmWasm, onboarding & deployment of external projects will become more efficient. The first example here is an ongoing discussion with the Celatone team.

Welcome Ledger Live

The Core-1 team will work closely with the Ledger team for $XPRT wallet integration into Ledger Live. Native support for XPRT on Ledger will create a safer way of storing keys. Besides that, dApps deployed on the Core-1 chain, such as pSTAKE and Dexter, are also expected to be supported by Ledger Live, creating better avenues for onboarding new users into the Persistence Ecosystem.

3. Bolstering Infrastructure

Bump to cosmos-sdk v47

Upgrading the Core-1 chain to v47 will bring various performance and functionality benefits, including CometBFT & ABCI1.0 (in-depth details here). Besides that, it will enable working with Skip Protocol on its latest version of in-protocol MEV capture.

Other add-ons: Group module, PFM, IBC Wasm Hooks

Group module will allow the creation and management of on-chain multisig accounts and configurable decision policies, making it easier for users to manage their tokens while enabling more front-end use cases for wallet management. It will complement a multisig tool built using CosmWasm.
PFM or Packet Forward Middleware will make it possible to route incoming packets from the source chain to the destination chain by solving for token fungibility across the Interchain.
IBC Wasm Hooks is a middleware that will allow cross-chain contract calls involving token movement (enabling Squid Router for cross-chain swaps on Persistence).

Improve the chain’s Indexer setup

An indexer listens to data produced by blocks on the chain & can immediately filter and process it as needed. The Core-1 chain currently uses the graph protocol for indexing data. This data is crucial for dApps on the chain. For e.g., Dexter uses this for faster front-end interactions, especially those that rely heavily on historic data such as transaction history. The Core-1 team will explore alternatives to the graph protocol that allow for better data access & usage.

Increase Performance Monitoring

With a further expected increase in on-chain activity, performance monitoring for validators, relayers & RPCs, among other critical chain infrastructure, will be crucial. The Core-1 team will increase its performance monitoring by working with various stakeholders & security partners.

Streamline Automated Testing

The Core-1 team will work on further streamlining feature testing, upgrade testing, E2E testing, and regression testing to provide a better testing environment for the chain and deployed dApps.

Conclusion

The Persistence Core-1 chain is an appchain for liquid staking with a vision to bring about a new paradigm in PoS by being the one-stop-shop for liquid staking–issuance of & DeFi for LSTs.

The Core-1 team believes that working towards the three essential aspects–On-chain Traction, Expanding the Ecosystem, & Bolstering Infrastructure is naturally the next step in making Persistence synonymous with liquid staking.

While the Core-1 team will do everything possible to achieve everything mentioned in this roadmap in the coming quarters, some things might change depending on various circumstances. But the belief behind the vision of each of these will remain the same.

This 2023 Persistence Roadmap Update is brought to words by Tushar AggarwalMikhil PandeyJeroen Develter, & Aditya Vandkar. Fellow Persisters are urged to give their feedback on what’s next for Persistence via our DiscordTelegramTwitterForum, or saying gm in person.

About Persistence

Persistence is an appchain for liquid staking–issuance of & DeFi for LSTs.

The Persistence chain hosts pSTAKE Finance–a multi-chain liquid staking protocol for issuing LSTs that allows users to earn staking rewards while participating in DeFi primitives, Dexter–the Interchain DEX for yield-generating assets like LSTs. Bamboo, a borrowing/lending protocol for LSTs & a vault product for LSTs, are expected to launch soon.

Persistence aims to offer a one-stop-shop for liquid staking for PoS (Proof-of-Stake) users and enable developers to build innovative applications around LSTs.

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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an “unauthorized third party” reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

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Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

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The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So… how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come from SmartAsset (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And as Visual Capitalist notesMassachusetts sits at the very top of that list. Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having the second-smallest population of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite the wide range in living costs across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky. The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
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Now that AI is moving into the physical world, many are asking a bigger question:
 
Will these same companies end up controlling robotics too?
 
It's a valid concern.
 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
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The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
 
Why This Matters for Robotics
 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
 
This is where decentralized systems become interesting.
 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
 
Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
 
That vision is beginning to emerge.
 
Bittensor's Move Toward Physical AI
 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
 
In other words, the pieces are starting to appear.
 
Not a decentralized robot network yet.
 
But the infrastructure that could support one.
 
Beyond Bittensor: The Rise of Physical AI Networks
 
Bittensor isn't alone.
 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
 
The goal is not simply decentralization for its own sake.
 
The goal is resilience.
 
If one server fails, the system continues.
 
If one company disappears, the network survives.
 
If one participant leaves, innovation continues.
 
But Here's the Reality
 
Decentralized AI faces the same challenge every decentralized technology faces.
 
Big Tech has resources. A lot of resources.
 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
 
The challenge isn't just decentralizing intelligence.
 
It's decentralizing intelligence while maintaining performance.
 
That's much harder.
 
The Most Likely Outcome
 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
 
The companies building robots may use NVIDIA hardware.
 
Train on Azure.
 
Run foundation models from OpenAI.
 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
 
The Bigger Question
 
The real question isn't whether decentralized AI can eliminate Big Tech.
 
It can't.
 
At least not anytime soon.
 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
 
Because the battle for the future of robotics is no longer about hardware.
 
It's about who owns the intelligence.
 
And that battle is just getting started.
 
 

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