Tron (TRX) Has New Proposal Approved, Find out What Changes

u.todayPublicado em 2022-12-20Última atualização em 2022-12-20

Resumo

Check out how new proposal impacts Tron ecosystem

Despite the downturn in the cryptocurrency market, developments in this sector are full steam ahead. Enhancement changes are made on a daily basis, and one of the cryptos that has changed is Tron (TRX).

On Tron DAO's Twitter profile, the announcement came out that the altcoin network's committee proposal #80 was approved. This suggestion was created to change the memo charges to 1 TRX.

Big issue

Prior to the approval, the TRX/TRC10 token transfer was free due to the free daily bandwidth and the no-charge memo.

Although this is a good factor for daily transactions, the lack of fees meant that many transfers were carried out using memos to send fake news and fraudulent links.

According to the Tron development team, in the last three months, 18,136,783 transactions with memos were performed. Of these, 7,725,151 transfers, 42.59%, were with URLs.

The analysis pointed out that the URL memos are almost all misleading, causing ordinary users to fall for scams related to the blockchain world.

Therefore, the Tron community has found a balance so that these transactions decrease, but honest users are not affected in such a way that they withdraw from the network. For this reason, starting Dec. 16, 2022, a fee of 1 TRX will be charged for memo collection.

Therefore, even if the transaction cost with the memo is higher with the new proposal approved, security and trust in Tron's network are improved.

Tron's developments in 2022

The launch of algorithmic stablecoin USDD was one of the hottest topics in the crypto market among the many happenings in the Tron ecosystem. This is because this blockchain asset has a similar model to the former Terraform Labs stablecoin. Even Justin Sun, the creator of Tron, admitted that he got the idea after witnessing the dramatic rise of Terra.

Algorithmic stable assets do not use banks, and companies to maintain their 1:1 parity with the U.S. dollar.

This modality of stablecoins has on-chain algorithms that increase or decrease their supply, or buy and sell tokens, according to market conditions. Therefore, it issues more coins when the price rises and reduces the supply when the price falls.

This model has not worked for USDD, which has also been one of the worst performing stablecoins this year. It has only been a few days that the asset has managed to hold at the $1 mark, which should be the rule rather than the exception for a stablecoin.

Criptomoedas em alta

Leituras Relacionadas

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

Chip stocks led a broad decline in US markets, with the Nasdaq dropping 2.2% and the S&P 500 falling 1.4%. This selloff reflects a dual challenge for the once-high-flying AI hardware trade: rising interest rate expectations and growing investor impatience for clear returns from massive AI capital expenditures. The pressure was most acute on hardware leaders. Nvidia fell about 4%, dipping below a $5 trillion market cap, while Micron plunged 13.2% ahead of its earnings report. Declines across memory, storage, AI, and mobile chips indicated a sector-wide retreat. The selloff spread globally, with South Korea's KOSPI index dropping nearly 10% as key suppliers SK Hynix and Samsung recorded double-digit losses. Investors appeared to be taking profits from the most crowded trades first. Macro headwinds intensified as market expectations shifted toward a more aggressive Federal Reserve. Forecasts for multiple rate hikes in 2026 pressured high-valuation tech stocks, which rely on long-term growth projections that become less attractive as discount rates rise. Concurrently, investors are scrutinizing the profit potential of the immense AI spending by cloud giants like Alphabet, Amazon, and Meta. While these expenditures drive demand for chips and hardware, the market is now questioning whether AI services will generate sufficient returns to justify the ongoing costs. This adjustment is not necessarily a bubble burst but a recalibration. AI demand fundamentals remain, but the narrative of endless growth can no longer fully offset concerns over higher interest rates and a longer path to profitability. Near-term direction may hinge on Micron's upcoming earnings guidance and incoming inflation data, which will influence both the AI demand outlook and the Fed's policy path. The market is transitioning from blindly buying growth to demanding clearer visibility on returns.

marsbitHá 1h

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

marsbitHá 1h

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

OpenAI's new paper "Reinforcement Learning Towards Broadly and Persistently Beneficial Models" explores training AI to maintain safe, helpful, and honest behavior even under pressure, in unseen scenarios, or after being fine-tuned for harmful purposes. Moving beyond simple rule-based "don'ts," the research focuses on cultivating "beneficial traits" like honesty, risk-awareness, corrigibility, and transparency. It investigates if reinforcement learning (RL), often prone to "reward hacking" where models exploit loopholes, can instead be used to instill robust, generalized positive behaviors. Researchers created a multi-domain synthetic dialogue dataset covering areas like healthcare and law. They trained a model by replacing 5% of standard RL data with "beneficial trait" data. This model outperformed the baseline in 83% of 53 evaluations, showing average gains of 9.1% in alignment, safety, and helpfulness. Crucially, improvements generalized: a model trained only on healthcare "good behavior" data also performed better in 17 out of 19 non-healthcare alignment tests. The paper also tests "alignment persistence." When subjected to adversarial prompts or harmful fine-tuning, the beneficial trait model showed greater resilience, with smaller performance drops and less "spillover" of bad behavior to unrelated tasks. While not a complete solution, this work suggests a shift from post-hoc correction to proactively shaping robust, principled AI behavior, a critical step for deploying models in high-stakes, complex decision-making scenarios.

marsbitHá 1h

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

marsbitHá 1h

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

The core of recent semiconductor stock volatility is not about daily price swings, but rather the market questioning whether AI-driven semiconductor pricing has entered a new phase. Following a sharp sell-off in Korean stocks on June 23rd, led by Samsung and SK Hynix, a subsequent rebound is seen more as a technical positioning adjustment rather than a confirmed trend reversal. The key variable is HBM (High Bandwidth Memory), essential for AI chips. Its supply-demand imbalance granted memory makers significant pricing power. The current market focus is on whether this dynamic remains strong enough to justify elevated valuations. All eyes are on Micron's upcoming earnings report. The critical factor is not whether results meet already high expectations, but whether the company's guidance confirms that AI memory pricing power, order visibility, and future margins are still expanding. Micron's outlook will serve as a crucial test for the broader AI semiconductor chain, including Samsung, SK Hynix, and other infrastructure players. The recent bounce appears to be a pre-earnings positioning repair. For it to evolve into a sustained uptrend, concrete evidence is needed that the AI infrastructure expansion cycle's fundamentals—particularly for high-end memory—remain robust and can continue to surpass elevated market expectations. The risk is that strong demand alone may not be sufficient if future guidance hints at peaking momentum or increasing supply-side pressures.

marsbitHá 1h

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

marsbitHá 1h

Trading

Spot
Futuros

Artigos em Destaque

Como comprar TRX

Bem-vindo à HTX.com!Tornámos a compra de TRON (TRX) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar TRON (TRX) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu TRON (TRX)Depois de comprar o teu TRON (TRX), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona TRON (TRX)Transaciona facilmente TRON (TRX) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

1.8k Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar TRX

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de TRX (TRX) são apresentadas abaixo.

活动图片