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2026-07-22 01:38 4d ago
2026-07-21 16:50 4d ago
Bittensor zpřístupnil dokumentaci pro AI agenty
TAO Bittensor
CoinGecko News 78
Original source text
Bittensor just made a quiet but consequential move: it redesigned its entire documentation layer so that AI agents, not just human developers, can parse it, understand it, and act on it. The OpenTensor Foundation announced the upgrade on July 21, 2026, framing it as infrastructure for what it calls an “agentic world.”

The documentation overhaul goes well beyond reformatting existing pages. Bittensor rolled out a five-minute Quickstart guide, an expanded Software Development Kit, updated Command Line Interface guides, and migration materials for developers transitioning from older versions of the platform.

The docs now cover wallet management, staking TAO (Bittensor’s native token), mining, validating, and subnet operations. All of it is structured for both human readability and machine consumption.

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This matters because Bittensor’s network runs on subnets, which are specialized markets that create and trade digital commodities like computational power, AI inference, and storage solutions. If an AI agent can read the documentation, discover what a subnet does, and start participating in it without a developer manually wiring everything together, you’ve fundamentally changed the speed at which the ecosystem can grow.

The update arrived just three days after the v431 network upgrade on July 18, 2026, which introduced improved security measures and launched the Conviction mechanism for subnet ownership. That upgrade was designed to lower barriers for programmatic and agent-driven participation in subnets. The documentation refresh is essentially the instruction manual that makes the v431 features accessible to both humans and their AI counterparts.

With machine-readable documentation, an AI agent can theoretically do most of that work itself. It loads the docs, identifies available operations, understands the parameters required, and starts making calls. The human developer becomes a supervisor rather than a line-by-line coder.

If machine-readable docs successfully lower the barrier for AI agents to participate in Bittensor’s subnets, the logical consequence is more network activity. More activity means more demand for TAO, since operations on the network, from staking to mining to subnet interactions, require token usage.

Community feedback on the update has been notably positive, with developers highlighting reduced friction and praising the platform’s AI-native infrastructure approach.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
2026-07-21 16:18 4d ago
2026-07-21 15:53 4d ago
MEXC přidává staking TAO pro globální uživatele
TAO Bittensor
CoinGecko News 78
Original source text
MEXC adds Bittensor TAO staking for its global user baseThe integration with validator Yuma gives millions of MEXC users access to Bittensor, an AI-focused blockchain whose ecosystem now spans 128 specialized subnets.

Cryptocurrency exchange MEXC has launched staking support for Bittensor’s native TAO token, allowing users to earn rewards by helping secure one of the largest decentralized artificial intelligence networks.

Bittensor validator Yuma announced Tuesday that MEXC has integrated its validator infrastructure to support TAO staking for the exchange’s reported 40 million users. Yuma participates in Bittensor’s consensus mechanism by evaluating the performance of network subnets — specialized AI applications that perform specific machine learning tasks — and assigning weights that help determine how staking rewards are distributed.

The companies said the integration is intended to expand access to the Bittensor ecosystem and increase participation in the network.

Bittensor is a decentralized network that coordinates the development of AI models and services through subnets, which compete for token rewards based on their performance and usefulness to the network. TAO holders can stake tokens to validators, who allocate stake across subnets and earn rewards based on those allocations. 

The Bittensor ecosystem currently consists of 128 subnets that specialize in tasks such as AI inference, model training, coding assistants and financial modeling. The ecosystem has expanded as interest in decentralized AI grows, with advocates arguing that open networks such as Bittensor are less susceptible to government or corporate restrictions than proprietary AI models. That argument gained renewed attention after the US Commerce Department restricted public access to certain Anthropic models due to national security and export control concerns.

TAO was trading at around $199 at the time of writing, giving it a market capitalization of roughly $1.916 billion, according to CoinMarketCap.

Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently.
2026-07-10 03:07 16d ago
2026-07-09 22:45 16d ago
Venice AI dosahuje 70 milionů USD ARR
TAO Bittensor
CoinGecko News 78
Original source text
Venice AI is pulling in $70 million in annualized recurring revenue through its integration with Bittensor subnet 11, powered by roughly 1.7 million daily API calls.

Delphi Digital, the crypto research firm, projects Venice AI’s total ARR at approximately $200M based on a recent three-week window of subscriber data tracking.

Inside the revenue machine Subnet 11, which previously operated under the name Dippy and has since evolved into TrajectoryRL, specializes in roleplay, companion AI, and prompt optimization. The 1.7 million daily API calls flowing through this subnet translate into revenue-backed demand for subnet tokens.

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TrajectoryRL itself documented roughly $50,000 in revenue during a single month. Scale that across the broader Venice ecosystem and you start to see how the $200M ARR projection from Delphi Digital isn’t just wishful math.

Venice AI distinguishes itself by running a privacy-focused, uncensored AI platform. Its flagship model, Venice Uncensored 1.2, was trained using compute from Bittensor’s Targon subnet. The platform offers chat, image generation, and coding tools.

The token economics behind the curtain Venice’s native token, VVV, began trading in January 2025 and has experienced significant price appreciation amid the broader AI narrative sweeping crypto markets. Holders can stake VVV for API access and earn DIEM credits that translate into computational resources on the network.

The broader Bittensor ecosystem reported approximately $43 million in revenue during Q1 2026 across all subnets.

What this means for investors NVIDIA has been engaging with the decentralized AI market. Institutional interest in decentralized AI infrastructure has been quietly building.

For investors evaluating the VVV token or the broader Bittensor ecosystem, the key metric to watch is sustained API call volume. Revenue projections based on three-week windows, however carefully tracked by firms like Delphi Digital, can be volatile.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
2026-07-07 01:10 19d ago
2026-07-06 16:55 19d ago
Kraken přidal spotové obchodování s Bittensor TAO
TAO Bittensor
CoinGecko News 78
Original source text
Kraken has added spot trading support for Bittensor’s TAO token, giving one of the most closely watched decentralized AI assets a larger regulated exchange venue.

For more details, visit the official Kraken platform.

TL;DR Kraken has listed Bittensor (TAO) for spot trading.The listing expands access to one of crypto’s leading AI-linked tokens.Trading support includes major fiat pairs on Kraken Pro. AI tokens have been one of crypto’s stickiest narratives, but the category has also been messy. Some projects are little more than branding. Bittensor has stood out because it is trying to build a network where machine-learning models, validators, and token incentives interact directly.

Why TAO Listings Matter Exchange listings do not prove long-term value, but they do change access. More venues mean more liquidity, more price discovery, and a lower barrier for traders who may not want to use smaller exchanges or DeFi routes.

For Kraken, TAO fits a broader trend: regulated exchanges are competing to list high-demand thematic assets without looking reckless. Decentralized AI has enough institutional interest to be worth supporting, but enough volatility to require careful user messaging.

The AI Token Test The real question is whether AI tokens can turn narrative into repeat network demand. Bittensor’s supporters believe TAO is tied to a genuine decentralized intelligence market. Skeptics see a complex token economy wrapped around a hot theme.

The Kraken listing will not answer that debate, but it does make the market more accessible. In crypto, that often matters first. Liquidity comes before judgement, and wider TAO trading gives investors another way to express a view on decentralized AI.

This article is based on information from Kraken.

This article was written by the News Desk and edited by Samuel Rae.
2026-07-03 13:30 22d ago
2026-06-27 09:45 28d ago
Yuma spouští fond pro decentralizovanou AI s TAO
TAO Bittensor
CoinGecko News 78
Original source text
Yuma launched a diversified fund focused on the Bittensor ecosystem. The strategy combines TAO with exposure to multiple AI subnets. The fund targets institutional and accredited investors. The new vehicle combines exposure to Bittensor’s native TAO token with a portfolio of subnet assets, allowing investors to access the broader decentralized AI economy through a single managed strategy.

New Fund Targets Decentralized AI Yuma, the digital asset infrastructure and investment firm owned by Digital Currency Group (DCG), announced the launch of the Yuma Total Market Fund on June 25. The vehicle is designed to provide institutional allocators and accredited investors with broad exposure to Bittensor, one of the fastest-growing decentralized artificial intelligence networks.

Unlike traditional crypto investment products that focus on a single token, the new fund combines exposure to TAO, Bittensor’s native cryptocurrency, with assets linked to the network’s expanding ecosystem of application-specific subnets. The approach is intended to give investors access to multiple segments of the decentralized AI economy through a single professionally managed portfolio.

Yuma also confirmed that the fund has secured seed capital from an anchor investor, although neither the investor’s identity nor the size of the commitment was disclosed.

Expanding Beyond Token Exposure The launch reflects growing institutional demand for diversified exposure to blockchain-based artificial intelligence rather than concentrating solely on individual cryptocurrencies.

Bittensor operates as an open-source decentralized machine-learning network that rewards contributors for providing AI models, computing power and specialized data. Its architecture currently supports 128 active subnets, representing distinct AI applications ranging from data marketplaces and cloud infrastructure to cybersecurity, fraud detection and pharmaceutical research.

Collectively, those subnet assets represent an ecosystem valued at more than $900 million, according to Yuma.

By combining TAO with subnet exposure, the Total Market Fund seeks to capture growth across both the protocol’s base layer and its expanding application economy.

Yuma describes the strategy as an alternative to conventional AI investments concentrated in a handful of publicly traded technology companies or long-duration venture capital funds. Instead, the firm argues that decentralized AI offers investors liquid exposure to an emerging sector built around open participation and blockchain incentives.

Third Product in Growing Asset Management Platform The Total Market Fund becomes the third investment strategy within Yuma Asset Management’s expanding product lineup.

The firm’s existing Subnet Composite Fund provides market-cap-weighted exposure across the broader subnet ecosystem, while the Large Cap Subnet Fund focuses on the largest and most established subnet assets. The new strategy combines elements of both approaches by integrating protocol-level exposure through TAO alongside investments spanning the wider Bittensor network.

The launch reflects increasing product specialization as institutional investors seek more sophisticated ways to access emerging digital asset sectors beyond Bitcoin and Ethereum.

Rather than offering passive token exposure, Yuma is positioning its products as thematic investment strategies centered on decentralized artificial intelligence, an area attracting growing attention from institutional capital.

Institutional Interest in Decentralized AI Accelerates The launch comes as artificial intelligence remains one of the fastest-growing investment themes across both traditional finance and digital assets.

Barry Silbert, founder and chief executive of both DCG and Yuma, said the new fund is intended to provide investors with exposure to an open AI ecosystem rather than relying exclusively on a small group of centralized technology companies.

AI is becoming a core portfolio allocation. But for most investors it’s limited to a few, big players

Bittensor $TAO offers access to a decentralized network of AI projects@YumaGroup opens the door for investors to Bittensor and decentralized AI https://t.co/A5C8AXEDMU

— Barry Silbert (@BarrySilbert) June 25, 2026

He argued that decentralized networks such as Bittensor allow developers, researchers and infrastructure providers to participate directly in AI innovation while creating new investment opportunities tied to blockchain-based incentive systems.

The product also reflects broader institutional interest in tokenized infrastructure and blockchain-native investment strategies. As digital asset markets mature, fund managers are increasingly creating sector-specific portfolios targeting themes such as decentralized finance, tokenization, stablecoins and artificial intelligence instead of relying solely on broad cryptocurrency exposure.

For institutional investors, the Yuma Total Market Fund represents another example of how digital asset managers are packaging blockchain infrastructure into traditional investment vehicles. Whether decentralized AI can emerge as a distinct institutional asset class will depend on continued developer adoption, subnet growth and the ability of networks such as Bittensor to compete with established AI platforms in both innovation and commercial deployment.
2026-07-03 04:15 23d ago
2026-07-02 21:01 23d ago
Bittensor subnet 23 představil bezpečnostní AI model HaloGuard
TAO Bittensor
CoinGecko News 72
Original source text
@trishoolai, the team behind Bittensor's (@opentensor) subnet 23, has released HaloGuard 1.0, a real-time prompt safety model that claims top-one rankings across seven established safety benchmarks. The launch, announced on July 2, puts a relatively compact model up against offerings from much larger AI labs.

Small models, strong resultsHaloGuard comes in two sizes. The 4B parameter version claims first place across all seven benchmarks it was tested on. The 0.8B version is positioned as a lightweight option that outperforms models several times its size, making low-latency deployment far more practical for developers building on AI pipelines or agent frameworks.

The core design philosophy is interception rather than remediation. HaloGuard screens prompts before they reach the underlying model or agent, catching potentially harmful inputs at the front door rather than filtering outputs after damage is done.

Built to break itselfThe subnet's incentive structure is what distinguishes it from conventional safety tooling. The system creates a competitive environment where miners submit adversarial prompts to identify potentially problematic behaviors. In plain terms, miners are paid to find ways to break the model, and each successful attack feeds back into a patch cycle. Trishool turns AI red-teaming into a decentralized, ongoing process, so that as AI gets smarter, the defenses and safety checks improve alongside it.

Trishool describes itself as a decentralized alignment layer designed to establish sovereign, market-validated safety for artificial intelligence, built to create a trustless mechanism for safe superintelligence by automating the safety loop at a planetary scale.

An earlier alpha version of HaloGuard is already running live on the Chutes subnet, the AI inference subnet that generated $43M in Q1 2026 real AI revenue, where it has reportedly recorded an 87% F1 score on real traffic since May. That live deployment gives the benchmark claims some grounding in production data, rather than controlled test conditions alone.

Bittensor is an open-source platform where participants produce digital commodities including AI inference and training. It is composed of distinct subnets, each an independent community of miners who produce the commodity and validators who evaluate the miners' work. HaloGuard's launch is a concrete example of that model being applied directly to AI safety infrastructure.

Sources
Trishool Documentation (docs.trishool.ai)
Trishool Phase 2 GitHub Repository
Bittensor Official Documentation
2026-07-01 05:35 25d ago
2026-06-30 22:29 25d ago
Bittensor po halvingu utahuje nabídku TAO
TAO Bittensor
CoinGecko News 72
Original source text
Bittensor cut its emissions in half in December, and roughly 70% of the supply is locked in staking. The supply side looks tight, but a halving only moves price if demand shows up to meet it.

Summary

Bittensor (TAO) ran its first halving on Dec. 12, 2025, cutting daily emissions from 7,200 to 3,600 TAO against a fixed 21 million cap, the same hard-cap design Bitcoin uses. TAO trades near $250 as of late June 2026, roughly 65% below its early-2024 record near $757, ranked around #27 to #37 with a market cap close to $3 billion and only about 11 million tokens in circulation. The bull case rests on a tightening float: with around 70% of supply staked for roughly 10% yield, the halved emissions slowly thin out sell-side pressure, which can lift price if demand holds or grows. The bear case is that a halving is a supply event the market already knew about, and TAO’s real problem is proving its subnets capture lasting value instead of riding AI-narrative momentum that fades. Analyst forecasts for 2026 run wide, from Gate near a $236 average to Coinpedia eyeing a $500 reclaim, with the outcome hinging on subnet revenue, ETF flows, and the broader AI trade more than on the halving alone. Bittensor’s first halving is already in the past. It happened on Dec. 12, 2025, and the daily issuance of TAO dropped from 7,200 tokens to 3,600 overnight. So the live question for 2026 is not whether the halving will happen. It is what a halving actually does to a token whose price sits 65% below its record, whose technical picture is bearish, and whose deeper story is still unproven. The supply math is real. Whether it matters depends on demand, and that is the harder part of the forecast.

This piece walks through how the Bittensor halving works, why a supply cut takes months to filter into the market, the demand-side question the halving does not answer, what the charts say at current levels, the institutional wildcard around a possible spot ETF, and where analysts think TAO could trade in 2026. It closes with bull, base, and bear scenarios and a short FAQ.

How the Bittensor halving actually works Bittensor is an open marketplace for machine intelligence. Models, compute, and data compete inside specialized markets called subnets, and the network scores their output through a mechanism known as Yuma Consensus.

TAO is the settlement token that pays for useful work and secures the network through staking. The protocol was started in 2019 by AI researchers Ala Shaabana and Jacob Steeves, and its token design borrows directly from Bitcoin: a fixed cap of 21 million coins and a halving schedule that cuts new issuance over time.

The December 2025 halving was the first of these events. Daily emissions fell from 7,200 TAO to 3,600. In plain terms, the network now mints half as much new TAO each day as it did before. Miners and validators who earn TAO for their contributions receive a smaller flow of new tokens, which over time means less fresh supply hitting the market. The mechanism is the same logic that underpins Bitcoin halvings, where reduced issuance has historically preceded periods of price strength, though the cause and effect is never as clean as the charts make it look in hindsight.

The key difference between a halving in theory and a halving in practice is timing. Issuance dropped instantly on the halving date, but the effect on circulating supply is gradual. The tokens already in circulation do not disappear, and the slower drip of new supply only changes the balance of buyers and sellers over weeks and months, not in a single candle. That is why the halving is better understood as a structural shift in the background rather than a switch that flips price higher on the day.

Why the supply cut takes months to bite The most important number for the supply thesis is not the emission rate. It is how much TAO is locked away and cannot be sold. Roughly 70% of the circulating supply is staked by validators and delegators, who earn an annual yield in the region of 10% for securing the network. Staked tokens are not idle, but they are also not sitting on exchange order books waiting to be dumped. That combination, halved emissions plus a high staking ratio, is what makes the Bittensor float look unusually thin compared with most tokens of similar size.

Here is the chain of logic the bulls lean on. New supply has been cut in half. A large majority of existing supply is staked and earning yield, so holders are paid to keep it locked. If demand for TAO stays flat or rises while the liquid, sellable float shrinks, the price pressure shifts upward over time. This is the classic supply-shock argument, and on paper it is coherent. With only about 11 million of the 21 million cap in circulation and most of that staked, the genuinely tradable supply is a fraction of the headline number.

The honest caveat is that supply shocks are slow and conditional. The phrase doing the heavy lifting is “if demand stays flat or rises.” Reduced emissions cannot lift a price by themselves if buyers walk away faster than sellers do. Through the first half of 2026, that is roughly what happened: TAO slid toward $200 in early June before rebounding, even though the halving was months in the rearview mirror. The supply setup was already in place, and it did not stop the drawdown. The lesson is that the halving loads the spring, but something on the demand side has to pull the trigger.

The demand side the halving does not solve This is the part of the forecast that actually decides where TAO goes, and it has nothing to do with the halving. Bittensor’s value depends on whether its subnets capture real, durable economic demand for machine intelligence, or whether TAO is mostly a high-beta proxy for AI enthusiasm that rises and falls with the narrative.

There is a real case to make. The subnet ecosystem has expanded past 120 active markets, each handling a specialized task such as inference, compute, data, or prediction. The network reported around $43 million in Q1 2026 revenue from AI services, which is a concrete sign that money is moving through the system instead of just speculation.

The Dynamic TAO, or dTAO, upgrade lets subnets allocate emissions based on real demand instead of fixed rewards, which is meant to price intelligence by the market and push Bittensor from a research project toward actual economic activity. The ambition is large: to be the settlement layer for intelligence itself, the place where models, compute, data, and incentives meet in one market.

The bear reading is that this is still unproven, and the network has shown it can break. In April 2026, a high-profile subnet exit triggered a roughly 25% price drop, exposing how much concentration and governance fragility sit underneath the optimistic story. The market punished the weak decentralization signal fast.

The deeper worry is value capture: even if subnets generate revenue, it is not yet clear how much of that value flows back to the TAO token itself rather than to the subnet operators or token holders downstream. An AI token can have busy subnets and still struggle to translate that activity into sustained token demand.

When AI excitement runs hot across the market, TAO tends to jump, and when attention rotates elsewhere, it tends to fade. That correlation is the bear case in one sentence: if TAO is mostly AI-hype beta, the halving will not save it.

NEW: $TAO rallies 30% in 12 hours after Anthropic AI model suspension. The move highlights interest in decentralized AI alternatives like Bittensor pic.twitter.com/YrNJDKlks3

— crypto.news (@cryptodotnews) June 16, 2026 What the charts say right now At current levels near $250, TAO sits in a bearish-to-neutral technical posture. Through June, it traded below the cluster of 50-day, 100-day, and 200-day exponential moving averages sitting roughly between $256 and $270, which means the medium-term trend has been pointing down and that band overhead acts as resistance. Momentum readings have hovered in weak-to-neutral territory, with relative strength index values in the mid-30s to mid-50s depending on the day, not oversold enough to scream reversal and not strong enough to confirm one.

TAO daily price chart — June 30 | Source: crypto.news The levels traders watch are clear. On the downside, the $200 area has acted as a line in the sand through June, and a decisive break below it opens the door toward the February low near $163. On the upside, the first hurdle is reclaiming that $256 to $270 moving-average band, and above it the structure points toward $352 and then $396, the levels several analysts flag as the gateway to a larger move.

The longer-term chart frames the whole range: an accumulation floor around $160 to $200 and a distant ceiling near the $720 to $760 zone that produced the record in early 2024. TAO has cycled inside that channel before, finding demand at the lows and heavy profit-taking at the highs.

The takeaway from the charts is that TAO is not in a breakdown, but it is not in an uptrend either. It needs to reclaim its moving averages before the supply thesis gets any technical confirmation, and until it does, the halving narrative is a fundamental tailwind fighting a bearish trend.

The institutional wildcard The most underpriced catalyst in the TAO forecast may be the one that has nothing to do with the chart. Grayscale filed an S-1 for a Bittensor trust on Dec. 30, 2025, and its Grayscale Bittensor Trust is already live over the counter, giving accredited investors a regulated wrapper for TAO exposure. Bitwise has also filed for a spot TAO product, with a U.S. regulatory decision expected around August 2026. The exact timing is not guaranteed, and approval is not certain, but the direction of travel matters.

The reason this is a wildcard rather than a sure thing is the corridor it opens. Once an asset is treated as ETF-eligible, it stops being dismissed as a pure speculation and starts being treated as infrastructure exposure that funds can hold without touching spot crypto directly. Bitcoin went through this in its earlier institutional phase, and Ethereum followed.

TAO is now entering the same corridor as the leading decentralized-AI asset. Anticipation alone can move price, because spot buyers tend to position early when future access looks credible.

There is a broader narrative tailwind too. When confidence in centralized AI wobbles, capital has flowed toward decentralized alternatives, and one such episode pushed an estimated $2.87 billion into AI crypto tokens inside a single week. TAO is the default beneficiary of that rotation given its position as the category leader by market cap. The flip side is that this same dependence on the AI narrative is exactly the fragility the bears point to: flows that arrive on a narrative can leave on one too.

What analysts forecast for TAO in 2026 Forecasts for TAO in 2026 span an enormous range, which is itself the honest signal: the outcome depends on variables no model can pin down. The figures below are third-party projections, presented as a spread of views, not as targets this publication endorses.

On the cautious end, Gate’s model centers 2026 around an average near $236, with a projected low close to $130 and a high around $318, essentially expecting TAO to hold near current levels with wide swings. Coindataflow’s experimental forecast sits in a similar low band, with a 2026 high near $281. In the middle and higher, Changelly’s analysis points to a 2026 range of roughly $388 to $472 with an average near $402, while Cryptopolitan’s technical read frames a $134 to $570 band with an average around $475.

Coinpedia takes a more constructive technical view, arguing that if TAO clears resistance at $352 and $396 in the 1st half of the year, the path opens toward a $500 reclaim. Looking further out, long-term projections from several of these firms cluster in a $900 to $3,000 range for 2030, premised on decentralized AI demand expanding and TAO holding its category lead.

The width of that spread, from a low near $130 to highs above $570 in the same year, is not a failure of analysis. It is an accurate reflection of how much hinges on whether subnet demand compounds, whether an ETF arrives, and whether the AI trade stays in favor. The halving sets the supply backdrop. These other forces decide the magnitude.

How the Bittensor halving compares with Bitcoin’s The halving thesis borrows its emotional weight from Bitcoin, where four-year supply cuts have lined up with major bull runs. The comparison is useful, but it breaks down in ways that matter for the forecast. Bitcoin’s halving reduces the new supply paid to miners who secure a settlement network whose demand driver is, broadly, monetary: people want to hold Bitcoin as a store of value.

Bittensor’s halving reduces the new supply paid to miners and validators who produce and verify machine intelligence, and TAO’s demand driver is supposed to be usage of that intelligence through subnets. Those are different engines.

The practical consequence is that a Bittensor halving cannot lean on the same reflexive narrative. Bitcoin’s halvings work partly because a huge population of holders believes they work, which makes the belief partly self-fulfilling. TAO does not yet have that scale of conviction, and its price has shown it: the token fell after the December halving instead of rallying on it, because the AI-token market cared more about subnet performance and the broader risk environment than about a supply chart. The halving is real and structurally helpful, but anyone modeling TAO on a clean Bitcoin-style post-halving curve is importing an assumption the data has not yet earned.

There is also a proportionality difference. Bitcoin’s reduced issuance is a small fraction of its already-large circulating supply, so the supply effect is gradual while the narrative effect is immediate.

For TAO, the emission cut is proportionally larger against a much smaller circulating base, which should make the mechanical supply effect more potent over time, yet the narrative effect is weaker because fewer participants treat the halving as gospel. The net is a token where the fundamentals of the halving may matter more than they do for Bitcoin, while the storytelling matters less.

The deeper design point sits underneath all of this. Bittensor was built by Ala Shaabana and Jacob Steeves in 2019 around Yuma Consensus, the mechanism that scores and rewards useful machine-intelligence work. That design is what lets the network claim it pays for output instead of raw hardware uptime, and it is the foundation of the value-capture argument. The halving sharpens the supply side of that design, but it does not resolve whether the scoring turns into durable token demand, which remains the open question the price keeps asking.

What to watch through the rest of 2026 For readers tracking TAO instead of chasing headlines, a short list of signals will reveal which scenario is unfolding well before the price confirms it. The first is subnet revenue: the roughly $43 million reported for the first quarter is the number to watch for growth, because rising real revenue is the strongest evidence that the value-capture story is working instead of stalling. The Second is the moving-average band between $256 and $270; reclaiming and holding above it would be the first technical sign the bearish trend has turned.

The third is the ETF timeline, with a U.S. decision expected around August 2026. An approval, or even rising odds of one, would open the institutional corridor the bull case needs, while a denial or a delay removes a catalyst the market has started to anticipate.

The fourth is governance stability: after the April subnet exit that triggered a 25% drop, any repeat of concentration or governance trouble would confirm the fragility the bears emphasize and could undo months of recovery in days. The fifth is the health of the broader AI trade, since TAO has behaved as a high-beta proxy for AI sentiment, and a rotation out of AI tokens would pressure it regardless of its own progress.

Watched together, these five tell a more reliable story than any single price target. If subnet revenue climbs, the moving averages flip, and the ETF path advances, the supply setup from the halving finally has demand to work with, and the bull case gains real footing. If revenue stalls, governance wobbles, and the AI trade cools, the thin float will amplify the downside instead of cushioning it. The halving set the stage in December. These signals decide whether anyone shows up to use it.

Bull, base, and bear scenarios for TAO The scenarios below combine the supply setup with the demand and institutional variables that actually drive the outcome. They are illustrative ranges built from the third-party forecasts above and current market structure, not guarantees.

Bull case In the bull scenario, the halving thesis works as designed and demand shows up to meet the tightening float. Subnet revenue keeps climbing from the $43 million Q1 pace, dTAO routes emissions toward markets with real usage, and the value-capture question starts to resolve in TAO’s favor. A spot ETF decision lands favorably or looks likely, pulling regulated capital into a thin float where roughly 70% of supply is staked and out of reach. TAO reclaims the $256 to $270 moving-average band, breaks $352 and $396, and runs toward the $500 area that Coinpedia and others flag, with the more aggressive long-term models pointing higher into 2027 if the AI trade stays hot. This case depends on the AI narrative staying strong and the network avoiding another governance shock.

Base case In the base scenario, the halving slowly does its quiet work but no single catalyst fires hard. Subnet activity grows unevenly, the ETF path advances but without a clean approval inside 2026, and the AI trade runs warm instead of euphoric. TAO spends the year chopping inside its broad trading channel, roughly between the $200 floor and the low-$400s, with the average landing near the $236 to $402 zone that the Gate and Changelly models bracket. The thin float keeps downside contained on dips, but the unproven value-capture story caps rallies. This is the “constructive but unconfirmed” outcome where the supply setup helps at the margin without overpowering a cautious market.

Bear case In the bear scenario, the halving is revealed as a supply event the market already priced, and TAO behaves as AI-hype beta. The value-capture question stays unanswered, another subnet exit or governance dispute dents confidence the way April’s did, and the broader AI trade rotates out. TAO loses the $200 floor and slides toward the February low near $163 or lower, with the bearish low-end forecasts near $130 coming into view. In this case, the staking lockup offers little protection, because holders unwind positions when yield no longer offsets falling token value, and the thin float that amplifies rallies amplifies declines just as efficiently.

Frequently Asked Questions When was the Bittensor halving and what changed? The first Bittensor halving took place on Dec. 12, 2025. Daily TAO emissions were cut in half, from 7,200 tokens to 3,600. The network follows a Bitcoin-style design with a fixed 21 million supply cap, so issuance steps down over time. The supply effect is gradual, filtering into circulating supply over months instead of moving price on the halving date itself.

Does a halving guarantee TAO goes up? No. A halving reduces the rate of new supply, which can support price if demand holds or grows, but it cannot lift a token on its own. TAO slid toward $200 in the months after the December halving before rebounding, which shows that reduced emissions do not override weak demand or a bearish trend. The halving loads the supply side, but demand has to do the rest.

Why is roughly 70% of TAO staked, and why does it matter? Holders stake TAO to help secure the network through validators and delegators, and they earn an annual yield around 10% for doing so. Staked tokens are locked and not readily available to sell, which thins the liquid float. Combined with halved emissions, the high staking ratio is the core of the supply-shock argument, since it shrinks the genuinely sellable supply.

What is the biggest risk to the TAO forecast? The biggest risk is that TAO is valued mostly on AI-narrative momentum instead of durable demand for its subnets. The subnet ecosystem generates revenue, but how much value flows back to the TAO token is unproven, and a high-profile subnet exit in April 2026 triggered a roughly 25% drop. If the AI trade cools or governance fragility resurfaces, the supply setup will not protect the price.

Could a spot TAO ETF change the picture? Possibly. Grayscale’s Bittensor Trust is already live over the counter, Grayscale filed an S-1, and Bitwise has filed for a spot product, with a U.S. decision expected around August 2026. A favorable outcome would open a regulated channel for institutional capital into a thin float, which the bull case leans on. Approval and timing are not guaranteed, so it remains a catalyst to watch instead of a certainty.

Where do analysts think TAO could trade in 2026? Third-party forecasts span a wide range. Cautious models such as Gate center near a $236 average with a low around $130, while higher views from Changelly and Cryptopolitan point to averages around $400 to $475 and Coinpedia flags a possible $500 reclaim if key resistance breaks. Long-term 2030 projections from several firms cluster between $900 and $3,000. The spread reflects genuine uncertainty about subnet demand, ETF flows, and the AI trade.

Disclaimer: This article is for information purposes only and does not constitute financial, investment, or trading advice. Cryptocurrency prices are highly volatile, and price predictions are speculative estimates that may not occur. Nothing here is a recommendation to buy or sell any asset. Always do your own research and consider consulting a licensed professional before making financial decisions. Figures are accurate as of June 30, 2026, and will change.
2026-06-29 16:35 26d ago
2026-06-29 15:16 26d ago
Kraken zalistuje Bittensor AI tokeny
TAO Bittensor
CoinGecko News 86
Original source text
Kraken is listing a batch of Bittensor subnet alpha tokens, marking the first time a major centralized exchange has opened the door to these specialized AI-focused assets. Until now, trading these tokens meant navigating on-chain AMM pools or scraping together liquidity on smaller platforms.

The listed tokens include Chutes AI (Subnet 64), Targon Compute (Subnet 4), Webuildscore, Lium io, Ridges ai, Hippius subnet, and VantaTrading. For a network that has quietly built one of the most ambitious decentralized AI ecosystems in crypto, getting shelf space on Kraken is a meaningful shift in visibility.

What are subnet alpha tokens, and why should you care Think of Bittensor as a decentralized marketplace for AI services, broken into specialized divisions called subnets. Each subnet handles a different job. Chutes AI, for example, focuses on serverless AI inference, essentially letting developers run AI models without managing their own servers. Targon Compute provides decentralized verifiable AI compute.

Bittensor currently operates over 128 active subnets, each with its own alpha token. These tokens function as direct exposure to a specific subnet’s performance, emissions, and revenue generation. In English: buying a subnet alpha is like buying equity in one department of a larger company, rather than buying the parent company’s stock (which would be TAO itself).

The mechanism that makes all of this possible is called dynamic TAO, or dTAO. Introduced in late 2025 or early 2026, dTAO allows each subnet to issue its own token that trades against TAO through on-chain automated market maker pools. Before dTAO, the only way to interact with Bittensor’s economics was through the TAO token. Now each subnet has its own price signal, its own liquidity, and its own market dynamics.

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Leading subnets like Chutes and Targon have already achieved market caps in the tens to over $100 million range.

Why Kraken’s move matters Before this listing, subnet alpha tokens lived almost entirely on-chain. There was one isolated instance of a subnet token trading on MEXC, but for the most part, accessing these assets required comfort with decentralized trading infrastructure. That’s a meaningful barrier for retail investors, and an even bigger one for institutions that need regulated, familiar platforms.

Kraken stepping in brings centralized exchange liquidity, cleaner price discovery, and the kind of accessibility that attracts a much broader investor base. Kraken already supported the core TAO token. This expansion into subnet-level assets signals the exchange sees commercial viability in the deeper layers of the Bittensor ecosystem, not just the top-level token.

The bigger picture for decentralized AI Bittensor’s subnet architecture creates a genuine marketplace where different teams compete to provide the best AI services. The dTAO mechanism turns that competition into tradeable assets, letting the market price each subnet’s contribution in real time.

With 128-plus subnets operating and their alpha tokens now reaching major exchanges, the Bittensor ecosystem is transitioning from a niche experiment to something that resembles a functioning decentralized AI economy. Each subnet’s token acts as a real-time gauge of market confidence in that subnet’s utility and revenue potential.

Unlike many crypto tokens that derive value purely from speculation, subnet alphas are tied to actual economic output. When a subnet like Chutes AI processes inference requests, that activity flows into the token’s value proposition.

What this means for investors Subnet alpha tokens introduce a new layer of granularity for crypto investors interested in AI infrastructure. Instead of making a broad bet on the Bittensor network through TAO, investors can now take targeted positions on specific subnets they believe will outperform.

The risk side of the ledger is straightforward: subnet tokens are narrower bets with less liquidity than TAO, even with Kraken’s support. A subnet that loses validators, faces technical issues, or gets outcompeted by a rival subnet could see its alpha token decline sharply. The dTAO mechanism means these tokens are ultimately priced relative to TAO, so a broad TAO selloff would drag subnet tokens down regardless of individual subnet performance.

For investors evaluating these assets, the key metrics to monitor are each subnet’s compute utilization rates, revenue generation, validator count, and market cap relative to its economic output.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
2026-06-27 18:15 28d ago
2026-06-27 17:59 28d ago
Yuma spouští fond pro institucionální investory do Bittensoru
TAO Bittensor
CoinGecko News 78
Original source text
Yuma, a Digital Currency Group-backed investment company, has launched a fund that gives institutional investors diversified exposure to the Bittensor ecosystem, as asset managers expand investment products tied to decentralized AI.

According to a Thursday announcement, the Yuma Total Market Fund provides exposure to Bittensor’s native TAO token and a basket of AI-focused subnets through a single investment vehicle. The strategy is intended to simplify access to the broader Bittensor ecosystem without requiring investors to select individual subnet tokens.

The fund launched with seed capital from an undisclosed anchor investor.

Bittensor is a decentralized network that supports the development of AI infrastructure and applications through specialized subnets spanning areas such as compute, marketplaces and identity. According to Yuma, the network's 128 subnets represent more than $900 million in combined value. However, data from network tracker Taostats shows a combined subnet value closer to $300 million.

TAO, the native token of the Bittensor ecosystem, has a market capitalization of nearly $2.4 billion. Source: CoinMarketCap

Institutional interest in the Bittensor ecosystem has grown alongside the network’s expanding subnet economy. In April, Grayscale increased TAO’s weighting in its Grayscale Decentralized AI Fund to 43% during the fund’s quarterly rebalance. TAO’s allocation has since fallen to about 20%, with Near Protocol's NEAR now comprising the fund’s largest holding at roughly 44%.

Asset managers are also seeking to broaden investor access to TAO. Bitwise filed for a TAO Strategy ETF with the US Securities and Exchange Commission (SEC) in April, while Grayscale submitted an amended registration statement to convert its existing Bittensor Trust into a spot TAO exchange-traded fund that would list on NYSE Arca if approved.

Grayscale Bittensor Trust (TAO) application with the SEC. Source: SEC

Anthropic restrictions renew focus on decentralized AIThe case for decentralized AI, which distributes AI infrastructure and computing across blockchain-based networks rather than relying on a single provider, gained renewed attention after the US Commerce Department suspended public access to Anthropic’s Fable 5 and Mythos 5 models over national security and export control concerns.

At the time, Grayscale head of research Zach Pandl said the restrictions underscored the risks of relying on centralized AI providers. The government order limiting access to Anthropic’s Fable 5 and Mythos 5 “highlights the risks of centralized control of AI,” Pandl said. “We expect demand for decentralized AI, like Bittensor and its TAO token, to rise as investors seek alternatives.”

The restrictions appear to be easing. The Commerce Department restored access to Mythos 5 on Friday, and Axios reported Saturday that the Trump administration is expected to allow Anthropic to resume public access to Fable 5 as soon as next week.

Magazine: How AI just dramatically sped up the quantum risk for Bitcoin

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2026-06-24 21:53 1mo ago
2026-06-19 07:30 1mo ago
Yuma varuje před riziky návrhu Root Reborn
TAO Bittensor
CoinGecko News 86
Original source text
Yuma, one of Bittensor’s largest contributors and the network’s third-largest validator, has published a detailed critique of the proposed “Root Reborn” upgrade, arguing that the design introduces governance, regulatory, and market structure risks that outweigh its potential benefits.

Summary

Yuma has opposed Bittensor’s proposed Root Reborn upgrade, warning that it could introduce conflicts of interest, regulatory concerns, and new risks for stakers. The proposal would allow validators to allocate root staking rewards across subnet tokens instead of automatically converting rewards into TAO. Yuma said subnets backed by validator allocations could benefit from additional demand, but called for more testing, risk analysis, and a formal upgrade roadmap before deployment. The proposal, currently under review and not yet active on mainnet, would overhaul how root staking rewards are handled. Under the existing system, root dividends are effectively paid by automatically converting subnet alpha emissions back into TAO. The new design would stop those automatic sales.

🧠 Bittensor $TAO upgrade watch: Root Reborn

A new Subtensor PR proposes one of the larger changes to Bittensor’s root validation structure so far.

Today, root dividends are effectively paid by auto-swapping subnet alpha back into TAO. This creates constant sell pressure on… pic.twitter.com/UNLFsKzcsl

— tao.bot (τ, τ) (@taodotbot) June 18, 2026 Instead, validators would set allocation weights across subnets. Root emissions would then be deployed into validator-selected baskets of subnet tokens, with stakers receiving redeemable claims on those positions rather than direct TAO rewards.

The proposal states that the change would reduce automatic sell pressure on subnet assets and make validator allocation decisions a more important part of the network economy. It would also introduce new tools to track validator basket net asset value, subnet allocations, staker liabilities, and network-wide basket performance.

Yuma said the proposal changes the role of validators from infrastructure operators into active allocators of capital.

“In its current form, the Root Reborn proposal carries substantial unmitigated risk that outweighs its benefits,” the validator group wrote.

The following analysis is a byproduct of lack of process within the ecosystem that leaves business builders limited notice or ability to properly plan, assess risk, and execute.

We are responding rapidly to the code we’ve seen thus far, in the forum where we see it being… https://t.co/cZ3DQD2gkU

— Yuma (@YumaGroup) June 18, 2026 Yuma warns of conflicts and regulatory exposure Yuma argued that validators would gain significant influence over capital flows inside the Bittensor ecosystem, creating incentives that may not always align with the interests of delegators.

The group said validators could direct allocations toward subnets in which they already hold positions or accept external incentives from subnet operators seeking additional capital. Yuma compared the structure to the lessons of the LIBOR scandal, where a small group of participants held influence over key financial benchmarks.

“Moral hazard is acute,” Yuma wrote, adding that validators should be expected to maximize their own financial returns.

The organization also questioned whether validator performance could be measured effectively under the proposed system. It said validators would not control redemption timing, making it difficult to maintain target portfolio allocations as users enter and exit positions.

Over time, Yuma argued, new emissions would represent an increasingly small portion of large validator baskets, limiting a validator’s ability to materially influence performance through future allocation decisions.

The report also raised concerns about regulatory treatment. Yuma said validators currently direct blockchain emissions, but Root Reborn would place them in a position where they actively determine subnet token exposure for delegators.

“Validators are no longer simply providing a neutral technological service due to the requirement to also set weights for subnet token rewards,” the group wrote.

Proposal seeks to reduce sell pressure on subnet assets Supporters of the proposal have presented the upgrade as a mechanism to keep more value inside the subnet economy.

A summary accompanying the Subtensor pull request stated that root yield would move away from automatic subnet token sales and toward reinvestment across validator-selected subnets. The proposal described the change as a way to make validator selection depend on capital allocation decisions rather than primarily on fees or staking yields.

The proposal also said delegators would gain additional transparency through dashboard tools that display basket composition, net asset value, and outstanding liabilities owed to stakers.

Yuma acknowledged that subnets receiving validator allocations could benefit from increased demand and stronger token prices. The group wrote that subnets awarded meaningful weights would likely experience net-positive price effects, while subnets receiving little or no allocation could see neutral outcomes.

At the same time, Yuma warned that the structure could encourage lobbying efforts by subnet operators seeking validator support. The report said new projects may face greater barriers to entry if relationships with validators become an important factor in attracting capital.

The validator group also identified operational risks. Its report cited escrow concentration in a single coldkey, redemption dynamics that could create losses for late redeemers during periods of heavy withdrawals, repeated slippage costs from basket rebalancing, and execution challenges if network activity scales significantly.

Yuma urged the OpenTensor Foundation and network stakeholders to consider alternative approaches that allow stakers to express subnet preferences directly through opt-in mechanisms rather than concentrating allocation decisions among validators.

The group also called for a published upgrade roadmap, a defined release process, additional testing, and formal risk evaluation before any implementation proceeds.

The debate arrives days after Bittensor attracted renewed market attention following comments from Grayscale Head of Research Zach Pandl, who argued that recent U.S. restrictions on Anthropic’s advanced AI models could strengthen demand for decentralized AI networks. Pandl wrote that investors may increasingly look toward alternatives such as Bittensor as access to frontier AI systems becomes subject to centralized controls.

TAO (TAO) climbed roughly 30% within 12 hours after those developments, as per previous coverage on crypto.news. However, as of press time, TAO is down over 6% as traders weigh the recent concerns around the Root Rebor proposal.
2026-06-24 21:53 1mo ago
2026-06-22 02:13 1mo ago
Bittensor plánuje plnou decentralizaci během roku a půl
TAO Bittensor
CoinGecko News 78
Original source text
PANews, June 22 — Bittensor co-founder const posted on X detailing the project’s current state of decentralization, future roadmap, and goals. Bittensor has not yet achieved decentralization at the economic incentive layer and is still steered by the core team, including const himself, two engineers, and a group of core contributors. The project has been live for over five years, has no pre-mine, and features 128 subnet teams and more than 20 core validator teams. Decentralization has already been achieved in terms of ownership distribution. The team chose to iterate rapidly at the cost of “remaining centralized” rather than slowly advancing “democratized” decision-making.

Regarding future update plans, Bittensor will push validators back into a competitive mechanism while opening liquidity pools for two-way investment to symmetrize the market and prevent on-chain signals from being manipulated. In addition, a conviction mechanism will be introduced to grant voting rights to Alpha token holders. Updates to TaoFlow and its derivatives will also roll out in the coming weeks, further fine-tuning the issuance distribution algorithm to optimize how inflation is allocated. const expects to complete the core mechanism within the next year and a half, at which point the three pillars — incentive alignment, value optimization, and true ownership — will operate in synergy, ultimately achieving full decentralization by abandoning centralized control.
2026-06-24 21:52 1mo ago
2026-06-22 15:03 1mo ago
Bittensor míří k plné decentralizaci do 18 měsíců
TAO Bittensor
CoinGecko News 86
Original source text
Bittensor co-founder Jacob Steeves wants the protocol he helped build to no longer need him. The man known as “Const” in crypto circles has published a roadmap to fully decentralize Bittensor within 18 months, targeting a completion date around December 2027.

The decentralization deficit Bittensor, co-founded by Steeves and Ala Shaabana, has built genuine decentralized ownership among its participants over more than five years of operation. The network currently runs 128 active subnet teams and more than 20 core validator teams.

But ownership and control are not the same thing. Bittensor’s governance structure has relied on what’s been called a “triumvirate” model, and critics have argued it concentrates too much power in too few hands. The core team’s grip on the economic incentive layer, the mechanism that determines how rewards flow through the network, has been a persistent sore point.

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That criticism reached a boiling point in April 2026 when Covenant AI, a participant in the Bittensor ecosystem, exited the network entirely. Covenant AI accused the protocol of “decentralization theatre,” alleging unilateral control by Steeves over key network decisions. TAO’s price dropped roughly 18-20% in the aftermath.

The roadmap: what Steeves is actually proposing Steeves’ plan isn’t a single flip-the-switch moment. He’s outlined a phased approach that touches several core components of how Bittensor operates.

First, the roadmap calls for raising validator competition. Second, the plan includes implementing bidirectional liquidity pools. Third, Steeves wants to introduce a conviction-based voting mechanism for Alpha token holders. This type of system weights votes based on how long a holder commits their tokens, rewarding long-term alignment over short-term speculation.

The roadmap also includes updates to the TaoFlow algorithm, which governs how incentives are distributed across the network’s subnets.

Steeves resigned as CEO of the Opentensor Foundation in February 2026, months before announcing this roadmap. The move was explicitly framed as reducing key-person dependency.

What this means for investors For TAO holders, the roadmap addresses the single biggest governance risk that has weighed on the token. The April 2026 price drop following Covenant AI’s departure demonstrated how directly governance concerns translate into market impact.

The conviction-based voting mechanism deserves particular attention from investors. If implemented correctly, it could create a structural incentive for longer-term holding, reducing sell pressure and rewarding patient capital. If implemented poorly, it could entrench existing large holders and create a new form of centralization dressed in governance clothing.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.