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💥The Cosmos Endgame💥
It's Ethereum vs Cosmos. Which blockchain has the better endgame?
October 13, 2022
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Merge, Surge, Splurge... Converge?

The Interchain Endgames of Cosmos and Ethereum

Towards the end of the Silurian period 420 million years ago, jawed fish diverged into cartilaginous sharks (and rays), and their more rigid cousins, the bony fish. 

These latter produced the amphibians, some of whom crawled out to conquer the land and the air as dinosaurs and proto-mammals. 375 million years later, a few of them returned to the sea, becoming dolphins and whales as they converged again on the familiar hydrodynamic strategies of a propulsive tail, flippers, and light bones, this time as warm-blooded, air-breathing mammals.

  

A short history of Cosmos and Ethereum

Divergence: In 2013-14, Cosmos and Ethereum split off from their common blockchain ancestor, Bitcoin. But as both projects have iterated on their own respective roadmaps, their endgames have begun to converge on multiple, connected execution zones.

Though the Cosmos design still favors sovereignty at the app level, Ethereum has become increasingly modular, preferring to trade this freedom for universal security and settlement. Ethereum’s monolithic structure allowed composable smart contracts to be launched and iterated upon at great speed, the necessary preconditions for the first great flowering of DeFi applications.

Its great success allowed it to develop solutions to many blockchain problems, and it has made considerable progress on two of the space’s most persistent problems: scaling and maximal-extractable-value (MEV). Ethereum devs have pushed the technological and definitional limits of single-chain scaling, and they have brought the dark forest of block producer transaction reordering into the light. 

At the same time, Cosmos ceded the winner-take-most race of becoming the world’s financial AOL (siloed precursor to the world wide web), in order to instead develop a secure, flexible backbone for the internet of money.

It pioneered three pluggable, adaptable technologies:

  1. A replicable state machine with Byzantine Fault Tolerant consensus (Tendermint).

  2. A set of blockchain application modules (the Cosmos SDK) that interact with the consensus engine.

  3. Together these can be used to quickly spin up an immediately interoperable blockchain using the crown jewel of Cosmos: the Inter-Blockchain Communication Protocol

IBC is both a trust-minimized data transport layer for communicating between chains, and an interchain app-layer built on top. The most obvious application is token transfers, but an increasing array of Interchain Standards is allowing more complex cross-chain interactions such as Interchain Queries, Interchain Accounts (allowing accounts on one chain to control accounts on others), and Interchain Security, the sharing of validator power between chains.

These IBC functions are online and just coming into wide use, setting the stage for fully composable DeFi between chains. 

Convergence: From these radically different approaches, Cosmos and Ethereum are now beginning to converge once more, as each adapts to the ever-changing crypto environment. 

On one hand, Cosmos is superficially beginning to resemble Ethereum at the app-layer, which is a fulfillment of the Cosmos roadmap, rather than an architectural change. With IBC now connected to some 50 chains, and CosmWasm smart contracting spreading throughout the ecosystem, applications are proliferating in a variety of ways: as single-use blockchains, as general smart-contracting zones, and as curated, multi-team application suites like the Osmosis decentralized exchange

As interchain DeFi begins to flourish, it makes sense that many of the first applications have been ported over from the most successful Ethereum applications. But many chains are doing things only possible on a sovereign chain, and apps that start as clones do so largely as a bootstrapping mechanism, achieving product-market fit while developing improvements that are only possible on appchains.

On the other hand, Ethereum is looking decidedly more like Cosmos in its design.

With the Merge complete, it is now Proof of Stake like Tendermint chains. More importantly, the original Ethereum 2.0 vision of sharded execution has long been de-prioritized in favor of rollups, quasi-appchains designed to move the majority of transactions off Ethereum’s main layer. The most recently announced parts of the Ethereum scaling roadmap–the surge (data sharding), verge (statelessness), purge (state expiry and cleanup), and splurge (account abstraction, proposer-builder separation, verifiable delay functions)–all support this rollup-centric model.

In his Endgame post late last year, Vitalik imagined three possible scaling futures for Ethereum: no rollups, a single dominant rollup, or a continuation of the current multi-rollup scenario, which we have circled in red.

  

Because they essentially act like appchains, it seems likely that many rollups will continue to thrive simultaneously.

Since each rollup has attracted its own developers, apps, investors, and users, each has begun to develop its own unique communitarian identity and its own business development. For now, each rollup is a tax-paying, protected commonwealth within the greater Ethereum federalist state, but the most successful, having had a taste of the sovereign appchain experience, may eventually want more control of their protocols, at which time they could easily become full-fledged interconnected appchains with access to the entirety of the interchain

The Cosmos Appchain Thesis

Why would an app or a rollup want to become an appchain instead?

The fundamental value proposition is sovereign interoperability

Because they are sovereign, appchains have precise control over their entire stack: execution, consensus, block size and timing, state and mempool logic, rollups, fees, the smart contract environment, validator requirements, governance rules, and any other area of blockchain structure and operations they might want to customize. 

Because they are interoperable, appchains can freely and composably interact with each other over IBC.  

What do appchains do with all this power?

They optimize for user experience, fine-tuning the access that front-ends and wallets like Keplr have to blockchain data and mechanisms, and adjusting protocol-level logic to make execution faster, easier, and more productive. They secure the chain as they see fit, recruiting their own validators to implement code, produce blocks, relay transactions, and more, or borrowing security from another validator set with interchain security (Q1 2023).

Ultimately, most appchains will choose to mix these two options: chains will share their validator sets with each other, and the entire interchain will become a shared defense zone, shielded with the armor of mesh security

Many appchain innovations knit security and UX together. Osmosis, for instance, has developed “superfluid staking,” a substantial improvement to Proof-of-Stake that allows liquidity providers to stake the underlying tokens in their LP shares to help secure the chain, thereby also earning staking rewards in addition to LP rewards. Currently only the OSMO token benefits from this increased capital efficiency, but pending improvements to Tendermint (the BFT-tolerant state machine replication software at the heart of many Cosmos chains) will enable other appchains to opt in to superfluid-staking on Osmosis or allow OSMO to be superfluid-staked on their chain.

Soon, the whole interchain will be able to put its staked assets to work in DeFi without incurring the centralization and chain security risks of traditional liquid staking derivatives.   

Appchains also excel at handling MEV: the profits available to whoever has the power to decide transaction ordering and block inclusion. MEV has plagued DeFi users across all ecosystems, but appchains can more quickly develop on-chain solutions that greatly reduce malicious MEV and redirect healthy arbitrage profits from third parties to themselves.  

For example, Osmosis is developing a private mempool with threshold decryption (an idea that Ethereum is experimenting with too). These private transactions cannot be seen by nodes until after they are executed, making front-running much more difficult as well as allowing limit orders and other future/contingent transactions to be put on-chain privately. Similarly, appchains can reserve the first slot in their blocks for protocol-controlled arbitrage and liquidations: a necessity for the health of lending and trading protocols, but which on monolithic chains tends to become an MEV game, leaking value from the app to third parties. Osmosis will instead be directing these healthy, non-user-harming arb profits back to the DAO.

The remaining (much-reduced) MEV can also be partially captured in-app by auctioning off the second slot in the block to MEV searchers–like Flashbots, but on-chain. Alternatively, it may make sense for chains to let all these second-slot auctions be aggregated in one place, as the Cosmos Hub proposes to do, so that the cross-chain MEV market is transparent and not a dark forest.

Appchains allow for radical blockchain experiments to be carried out quickly. While Tendermint and the Cosmos SDK are amazing technologies that allow apps to quickly spin up IBC-ready blockchains, the whole Cosmos stack is not necessary to become an IBC-connected appchain. Many compelling Cosmos ecosystem projects are building or adopting alternative consensus or state-machines that better fit their needs, including Penumbra (private trading), Anoma (universal coincidence-of-wants coordination), and Nomic (Bitcoin on Cosmos). 

Appchains are not definitionally different to monolithic chains; rather, appchain modularity is largely the philosophy of sovereign interoperability combined with the trust-minimized blockchain communication of IBC.

Monolithic chains, by contrast, have generally adopted the so-called fat-protocol thesis, in which a single chain runs the vast majority of DeFi worldwide, and everything settles to one layer whose token accrues a monetary premium. Scaling such a protocol is very difficult, as we know, and heroic efforts continue to be put into exciting technologies that speed up and modularize execution, storage, data availability, and the like.

Rollups, which are amazing technical achievements, have so far acted as enclaved appchains without sovereignty or interoperability, though they of course benefit from Ethereum’s massive security. By the same token (no pun intended), while appchains do not yet generally have the blockspace constraints of monolithic chains, they will be able to adopt modular solutions like rollups and data availability layers when it becomes necessary.

The Cosmos thesis predicted the appchain future, allowing it to shard execution into separate blockchains by design, giving app builders the freedom to develop their own products and to experiment freely with all layers of the stack to do so.

At the same time, the appchain vision assumed the inevitability of cross-chain bridging years before everyone else and developed by far the most comprehensive and safest system for interchain blockchain communication in an age where cross-chain bridge hacks are commonplace.

The Safety of IBC

One of the potentially strongest arguments against the appchain thesis is that bridges are inherently unsafe. On one hand, it is true that no protocol or interchain messaging system is inherently and at all times safe, but this is as true of Ethereum contracts as it is of IBC.

Any code can have bugs, and adversaries will always try to exploit them.

On the other hand, we have gathered enough evidence since DeFi summer that users are simply never going to confine themselves to a single chain–they will use a hilariously exploitable multi-sig just to get cross-chain to the latest cookie-cutter EVM clone.

How much more eager will they be to use the fully interoperable, UX optimized, composable DeFi of IBC and the interchain? 

If bridges are inevitable, why is IBC the best? Why should it be considered safe enough to be the future of finance? The answer lies in the trust-minimized design.

Participating chains run light clients of each other, meaning that they each independently verify the block headers of the other chain. An attacker therefore cannot convince another chain with a lie about what happened on one blockchain unless they take over the whole chain. If that were to happen, the party controlling the chain could potentially infinite-mint its own chain’s tokens, pass them over IBC, and use them to steal funds on an AMM or through another DeFi mechanism. 

This is in stark contrast to bridges whose tokens are held in an exploitable contract (multi-sig or otherwise), and which have not traditionally permitted generalized message-passing (though the Axelar appchain has made strides in improving non-IBC cross-chain communication).

It is therefore important that appchains establish IBC connections with reputable, secure chains. However, it is also true that the vulnerability window from an attacking IBC-connected chain is quite small. First, if a chain is taken over by economic or governance attack, or if it catastrophically fails, IBC connections can be immediately closed, meaning that it cannot siphon any value away.

To cover the short amount of time before the IBC connection is closed, IBC rate-limiting will shortly be available. This will allow appchains to restrict the token flow over a given period, allowing normal activity while limiting the value that an attacking chain can take, making the economic calculus of any attack far less favorable.

   

IBC in PracticeThe above image (live, interactive version here) shows IBC sends and receives between IBC-connected chains, with the icons sized proportionally by transaction volume. Even in this bear market, in the past 30 days, roughly 800k transactions and $264m worth of value have been sent over IBC. Note that this is only cross-chain activity; it does not count single-chain transactions.

Still, it is no secret that Cosmos does not yet have Ethereum-like adoption. Technical challenges remain for interchain DeFi to reach its full potential–though we are starting to see their likely shape in the mesh of Interchain Security, encrypted mempools, protocol-controlled arbitrage, and synchronous blockspace auctions.

As interchain adoption picks up, appchains that need to scale will also have access to the full array of rollup and other scaling solutions being developed on Ethereum, as well modularizing appchains like Celestia.

ATOM 2.0: Monolithic-chain Benefits for the Interchain 

We discussed above how Ethereum has become more Cosmos-like over the years. In its recent ATOM 2.0 whitepaper, the Cosmos Hub has proposed to offer several Ethereum-like, ecosystem-wide use cases.

The Cosmos Hub was so named because it was the first appchain of the Cosmos ecosystem, a proof-of-concept for the Cosmos SDK, as well as a Schelling point and funding source for interchain developers, investors, and users.

However, because ATOM holders strongly believed that the Cosmos philosophy of rent-free sovereign interoperability was the only viable way to build the interchain future, the Hub ended up without an obvious use case. ATOM 2.0 changes that, not by radically altering the Cosmos, but by specializing the Hub as an ecosystem service-chain.

What follows is a brief general overview of the most compelling parts of the ATOM 2.0 proposal.

1️. Interchain Scheduler

Perhaps the most innovative use-case for the Hub, the Scheduler is a proposed market for synchronous cross-chain blockspace. The idea is that appchains will let the Hub tokenize and sell the first or second slots in their blocks (depending on whether the appchain executes its own arbitrage and liquidations at the top of the block).

Profits will be shared between the Hub and the originating chain.

Because Tendermint block proposers are deterministically chosen, both MEV searchers and applications will know when cross-chain blocks are synchronous, and these blocks will fetch higher prices than if they were auctioned off on the home appchain.

More importantly, the Scheduler acts as an on-chain interchain Flashbots, allowing cross-chain MEV to occur in the light where it can be studied and mitigated, instead of off-chain in the dark forest. Further, these synchronous cross-chain blocks may be valuable to many DeFi applications because they will allow for immediate, atomic, final execution on multiple blockchains simultaneously. It is also possible that this cross-chain synchrony will develop more robustly through interchain mesh security.

2️. Interchain Security

We discussed mesh security above. Under the ATOM 2.0 proposal, the Cosmos Hub will provide Interchain Security v1.

In this first form, a provider chain will allow its validator set to provide plug-and-play security for consumer chains that do not want the responsibility of recruiting and managing their own validators. Interchain Security v1 is a logical extension to the Cosmos SDK, making it easier than ever to spin up a new chain, as long as the application does not mind paying the security provider and does not need the flexibility and sovereignty of its own validator set. Notably, Interchain Security v1 was attractive to Circle, which will be releasing native USDC into the interchain from a Hub-secured asset-issuance chain as soon as Q1 2023.

Even in v1 of Interchain Security, any appchain can be a security provider if it finds a willing consumer for its security.

However, chains cannot simultaneously provide and consume security from each other in the amount of their choosing, which in v2/v3 of Interchain Security, is what will allow for the Internet of Blockchains to have shared, opt-in mesh security. In its final mesh security form, Interchain Security acts as another point of convergence between Cosmos and Ethereum, enabling the interchain to achieve a more flexible, self-sovereign version of the sort of monolithic, protocol-level security currently provided by Ethereum. 

3️. Interchain Allocator

Broadly speaking, the Hub intends to use its well-funded treasury to continue to invest in promising ecosystem projects, driving value back to ATOM.

That treasury will be replenished predominantly with fees from the Scheduler’s synchronous blockspace auctions, and from Interchain Security payments. If the investments are made well, they will themselves return extra value to the treasury. If these revenue streams provide sufficient ongoing value to stakers, ATOM inflation will be cut to zero, a move aimed at giving ATOM sound money properties in the vein of ETH and BTC, properties which have hitherto been reserved for monolithic L1s.

If all these services are adopted as planned, the Hub can stay true to its roots as a non-extractive booster of the whole ecosystem, earning fees only to the extent that it is providing valuable services. The value-accrual mechanisms should enable ATOM to retain its value as a strong ecosystem collateral, one of the bases for decentralized interchain stablecoins

Appchains: Hubs and Outposts

For the moment, blockchain activity has settled into a number of semi-fluid ecosystems.

These zones are loosely interconnected now with a patchwork of bridges and centralized exchanges, but IBC can safely interconnect them all–though developing cost-effective light clients for some chains is still a work in progress

Both appchains and apps on monolithic chains have been positioning themselves for an increasingly interconnected future. With ad hoc cross-chain bridging now decidedly out of favor, it makes sense for most apps to adopt a hub and outpost model, rather than relying on name recognition or trying to establish a lasting technical moat while constrained by protocol-level decisions beyond their control.

This hub and outpost model can take different forms. In all its forms, the hub is the home of the appchain, running governance, holding the treasury, and coordinating among the outposts. One of the main questions going forward with IBC is how liquidity is best handled. For Osmosis, at least for the moment, it makes sense to house all of its liquidity at home and have its outposts route flows from other chains through the Osmosis blockchain. But Mars Protocol, which is working closely with Osmosis to launch its first lending outpost on Osmosis, plans for each of its outposts to have separate liquidity.

It is up to different appchains to weigh the trade-offs between splitting their liquidity, which may lead to poor execution, and the need for fully synchronous transactions, which power traders sometimes demand and which IBC cannot yet provide. That said, as the mesh security of the interchain grows, and as a market grows for synchronous blocks between chains, and as IBC develops in ways we cannot yet predict, fully synchronous interchain DeFi transactions will inevitably become available.

The Endgame

Cosmos and Ethereum have always been philosophically close, each drawing heavily on the original cypherpunk ethos for inspiration. While Ethereum set out to push the monolithic chain hypothesis as far as it would go, and Cosmos chose instead to maximize sovereign interoperability, it should perhaps not be surprising that many of their design choices have begun to converge again as they approach their Endgames.

The line between a rollup and an appchain is becoming increasingly thin, as evidenced by dYdX’s decision to move from one to the other–while holding out the possibility that they might move back to a rollup in the future (See the podcast dYdX founder Antonio Juliano on leaving Ethereum here).

Other apps are likely to spin off their own appchains, possibly while retaining Ethereum as their premier outposts.

Interoperability (of a limited, insecure sort) long ago came to Ethereum to stay: once a light client is available, Ethereum itself will be able to connect to the interchain more securely by using IBC, another sovereign, interoperable member of the broader ecosystem we all share.

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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.

Source

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🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
 
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.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
 
That movement is decentralized AI.
 
Why Decentralized AI Exists
 
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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