Can ADA Price Still Surge? Cardano Founder Says The Best Is Yet To Come

bitcoinistОпубліковано о 2026-03-04Востаннє оновлено о 2026-03-04

Анотація

Cardano founder Charles Hoskinson remains optimistic about the crypto market's future, stating that "our best days are ahead" despite recent price declines. While acknowledging regulatory concerns—such as his strong opposition to the CLARITY Act, which he believes could harm innovation—Hoskinson emphasizes long-term growth potential. Meanwhile, ADA's price dropped to $0.26 amid global risk aversion, though it has since recovered slightly above $0.27. On-chain data shows growth in Cardano's DeFi ecosystem, with its stablecoin-to-TVL ratio tripling in under a year, though recent ADA price drops have impacted dollar-denominated TVL figures.

Cardano founder Charles Hoskinson is refusing to join the chorus of crypto pessimists. In a recent podcast appearance, Hoskinson delivered a bullish message to a rattled investor base, insisting that the crypto market’s greatest chapter is still unwritten. Although he champions the crypto industry’s bullish future, Hoskinson has not shied away from sounding the alarm on legislation he believes could impede it.

Hoskinson Says Crypto’s Strongest Era Is Still Ahead

Speaking on Wendy O’s podcast, Hoskinson made his position clear on the crypto industry’s trajectory. In simple terms, Hoskinson noted: “I think our best days are ahead of us as a market.”

Hoskinson’s comment follows the broader thinking among many crypto participants. Many crypto participants and commentators would agree that the industry has not yet reached its peak ppotential andthat higher valuations are still within reach as adoption deepens and infrastructure matures.

This is not the first time the Cardano founder has pushed back against bearish views, but his latest comments arrive at a particularly sensitive moment for the market, lending them added weight among investors looking for direction.

His optimism, however, is not without caveats on the regulatory front. In a separate X broadcast, Hoskinson described the CLARITY Act as horrific. The crypto market structure bill is advancing through the US Congress, and stakeholders believe it will be passed anytime soon.

However, according to Hoskinson, the CLARITY Act will effectively treat every crypto asset as a security by default and create bureaucratic attack vectors that could allow the SEC to dismantle future American crypto projects. He also flagged the bill’s failure to protect DeFi protocols, prediction markets, and stablecoins, including a provision banning yield on stablecoin balances.

On the other hand, crypto figures like Ripple CEO Brad Garlinghouse have expressed support for the CLARITY Act, with the premise that imperfect legislation is better than none.

ADA Under Pressure, But DeFi Growth Is Positive

Hoskinson’s optimism comes within a context of mounting global challenges. The escalating Israel-Iran conflict has led to global risk aversion, and crypto has been no exception. ADA was caught in the selloff, sliding to a low of $0.260, while Bitcoin dropped to $63,500 during the initial selloff. Bitcoin, however, is now back above $70,000 at the time of writing, and ADA is also pushing above $0.27.

Related Reading: What’s The Beef Between Cardano And XRP? Here’s Why The Communities Are Clashing

Interestingly, there are on-chain signals that show Cardano’s ecosystem is quietly gathering strength. The stablecoin to DeFi TVL ratio on Cardano has jumped from around 10% last June to 32% today, roughly tripling in less than a year. In just the past seven days alone, USDCx liquidity pushed Cardano’s stablecoin supply from $33 million to $47 million, a 42% surge.

That said, a significant portion of Cardano’s DeFi TVL is denominated in ADA itself, meaning the recent price drop has reduced dollar-denominated TVL and mechanically inflated the stablecoin ratio.

ADA trading at $0.27 on the 1D chart | Source: ADAUSDT on Tradingview.com

Трендові криптовалюти

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

PancakeSwapCAKE

JUSTJST

Пов'язані питання

QWhat is the overall message that Cardano founder Charles Hoskinson delivered to investors in the podcast?

ACharles Hoskinson delivered a bullish message, insisting that the crypto market's greatest chapter is still unwritten and that the industry's best days are ahead.

QWhat is Hoskinson's primary concern regarding the CLARITY Act currently advancing in the US Congress?

AHoskinson believes the CLARITY Act is horrific because it would treat every crypto asset as a security by default, create bureaucratic attack vectors for the SEC to dismantle projects, and fail to protect DeFi protocols, prediction markets, and stablecoins.

QDespite the recent market selloff, what positive on-chain signal is mentioned for the Cardano ecosystem?

AThe stablecoin to DeFi TVL ratio on Cardano has jumped from around 10% last June to 32% today, and USDCx liquidity surged 42% in the past week, increasing the stablecoin supply from $33 million to $47 million.

QHow did the escalating Israel-Iran conflict affect the crypto market, according to the article?

AThe escalating Israel-Iran conflict led to global risk aversion, which caused a selloff in crypto. ADA dropped to a low of $0.260 and Bitcoin fell to $63,500, though both had recovered some losses by the time of writing.

QWhy does the article state that the recent price drop has 'mechanically inflated' Cardano's stablecoin ratio?

ABecause a significant portion of Cardano's DeFi TVL is denominated in ADA itself. The drop in ADA's price reduced the dollar-denominated TVL, which made the proportion of stablecoins within the total TVL appear larger.

Пов'язані матеріали

Upbit Rebalances 864B SHIB In Internal Wallet Move

South Korean cryptocurrency exchange Upbit moved a total of 864 billion SHIB (worth approximately $4 million) between its internal wallet addresses. The activity, involving transfers of 384 billion SHIB outbound and 480 billion SHIB inbound, occurred following a 36% SHIB price rally. On-chain data indicates this was a routine internal wallet rebalancing operation by the exchange, not a sell-off or liquidation event. The article cautions that while large on-chain transfers are highly visible, they require proper context and wallet labeling to interpret correctly. In this case, the movement between known Upbit addresses does not inherently signal a change in market supply or selling pressure for SHIB.

bitcoinist50 хв тому

Upbit Rebalances 864B SHIB In Internal Wallet Move

bitcoinist50 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit50 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit50 хв тому

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

The International Conference on Learning Representations (ICLR) 2027 has introduced a new submission rule limiting authors to a maximum of 20 papers per conference. This policy, announced due to a 68% surge in submissions for ICLR 2026 that strained the review system, aims to ensure fair and informative peer review. Google DeepMind researcher Dan Roy responded with a sarcastic petition on X, calling the 20-paper cap "absurd" and claiming it would slow AI progress. His post mockingly argued that AI agents can now produce incremental research and that large language models (LLMs) already handle all reviewing, so output should be maximized. This satire critiques the broader trend of AI's role in academia, referencing a 2025 study that found about 21% of ICLR 2026 reviews were likely fully AI-generated. Roy's underlying point questions whether simply capping submissions addresses the systemic issue of AI potentially flooding conferences with agent-written papers and AI-assisted reviews. The debate highlights tensions between managing submission volume and maintaining research quality as AI tools become pervasive.

marsbit55 хв тому

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

marsbit55 хв тому

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit1 год тому

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbit1 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit2 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School