Toncoin Fees To Drop 6x As Network Moves Toward Feeless Transactions

bitcoinistPubblicato 2026-04-25Pubblicato ultima volta 2026-04-25

Introduzione

Telegram founder Pavel Durov announced that the Toncoin (TON) network will reduce transaction fees by six times in one week, lowering the cost to just 0.00039 TON (approximately $0.0005). This fee reduction is part of the "Make TON Great Again" (MTONGA) roadmap and will remain fixed regardless of network congestion. The update follows a recent upgrade that made the network 10 times faster and transactions nearly instant. Durov also hinted that future steps aim to make most transactions fully feeless. Although Telegram discontinued formal involvement with TON due to regulatory issues, Durov remains a strong supporter. Currently, Toncoin is trading around $1.30, down over 8% in the past week.

The Telegram founder has revealed that the Toncoin network is set to see its transaction fees drop by sixfold in one week’s time.

Toncoin To Drop Transfer Fees As Part Of MTONGA

In a new post on X, Telegram founder and CEO Pavel Durov has shared that the Toncoin network will undergo a change related to transaction fees in one week. Previously, the blockchain already offered a relatively cheap transfer rate when compared to popular networks like Bitcoin and Ethereum, but the new update will further slash the fee on TON, bringing it down to just 0.00039 TON (worth about $0.0005).

The sixfold reduction in the transaction fees will hold regardless of network congestion. This is unlike many other networks, where the value of the transfer fees is dependent on blockchain conditions. Typically, a high amount of traffic tends to increase network fees, while low activity decreases the metric. On TON, however, the fees will remain fixed at its low value.

The initiative is part of Toncoin’s “Make TON Great Again” (MTONGA) roadmap, which is planned to involve a total of seven steps. Earlier in the month, the first step of the roadmap went into action as the TON blockchain underwent an upgrade. Durov talked about the update in an X post, noting that it made the network 10x faster and increased block rate by 6x. The upgrade also made transactions on the network practically instant.

In the same post, the Telegram founder had teased the next step of the roadmap, which is now finally getting implemented with the transaction fee reduction in one week.

In its early years, TON was developed by the Telegram team, and its full form stood for the Telegram Open Network. After a court order from the US Securities and Exchange Commission (SEC), however, the company was forced to pull its involvement from the network. TON rebranded to The Open Network and has since been supported by independent contributors, including the TON Foundation.

Despite the end of Telegram’s formal involvement, Durov has continued to be a vocal supporter of the blockchain, with the MTONGA roadmap being an example of his continued backing.

In the new X post related to the second step of MTONGA, the Telegram CEO also hinted at what’s coming up for the network once the upgrade is done. “Soon after most transactions go fully feeless,” noted Durov. “Zero commission. MTONGA!”

As mentioned earlier, Toncoin already offers cheaper transactions than other popular blockchains. Below is a chart from BitInfoCharts that puts into perspective the difference by showcasing the level of fees on the Bitcoin network.

How the transfer fee on the BTC blockchain has fluctuated over the last six months | Source: BitInfoCharts

TON Price

At the time of writing, Toncoin is trading around $1.30, down more than 8% over the past week.

The price of the coin has retraced over the last couple of days | Source: TONUSDT on TradingView

Domande pertinenti

QWhat is the expected reduction in Toncoin transaction fees and when will it happen?

AThe Toncoin network is set to see its transaction fees drop by sixfold in one week's time.

QWhat is the new transaction fee amount on the Toncoin network after the reduction?

AThe new transaction fee will be just 0.00039 TON, which is approximately $0.0005.

QWhat is the name of the roadmap initiative that includes this fee reduction?

AThe initiative is part of Toncoin's 'Make TON Great Again' (MTONGA) roadmap.

QHow does the Toncoin fee structure differ from other networks like Bitcoin and Ethereum?

AUnlike many other networks where fees depend on blockchain congestion, Toncoin's fees will remain fixed at a low value regardless of network traffic.

QWhat did Pavel Durov hint at for the future of the network after this fee reduction?

ADurov hinted that soon after the upgrade, most transactions will go fully feeless with zero commission.

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Fei-Fei Li's Team Clarifies the Concept of 'World Models', Sora Merely a Renderer

"World Models" has become a widely used yet confusing term in AI. To address this, a team led by Fei-Fei Li and World Labs proposed a functional taxonomy based on the Partially Observable Markov Decision Process framework. This taxonomy categorizes systems called "world models" into three distinct projections: Renderers, Simulators, and Planners. Renderers, like OpenAI's Sora and other video generation models, focus on producing photorealistic visual outputs for human perception. They prioritize visual fidelity over physical accuracy. Simulators, such as NVIDIA Omniverse, aim to compute precise future environmental states for computational tasks like engineering analysis or digital twins. Planners, like Vision-Language-Action models, take in observations and goals to output executable actions for robots or agents. The article clarifies that most current "world models," including Sora, are primarily Renderers. They generate convincing visuals but lack the core ability to simulate state transitions based on actions, a key requirement for a true world model in classic reinforcement learning definitions. This conceptual confusion has practical implications, leading to potential misalignment in technology selection, investment, and public understanding of AI capabilities. Clear categorization is crucial. It helps enterprises avoid costly mistakes (e.g., using a renderer for robot training), allows investors to accurately assess markets, and enables researchers to build comparable benchmarks. While future systems may integrate these functions, recognizing current boundaries is essential for honest assessment and progress.

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