Will Dubai Become a 'Financial Relic'? An Asian Exchange May Welcome US Backer...

比推2026-03-13 tarihinde yayınlandı2026-03-13 tarihinde güncellendi

Özet

The article discusses recent developments and speculations in the cryptocurrency space, primarily based on discussions among KOLs on the X platform. Key topics include: - The postponement of the TOKEN 2049 Dubai summit to 2027, with speculation that this delay may benefit Hong Kong as a crypto hub. - Rumors of a potential acquisition of an Asian cryptocurrency exchange (hinted to be Bybit) by a U.S. buyer, with comments noting the strategic move for compliance and market expansion, as well as debates about valuation compared to competitors like OKX. - Circle’s reported efforts to distance itself from Canada, leading to a surge in its stock price, alongside discussions about its revenue-sharing agreement with Coinbase and future prospects. - Concerns about liquidity drying up in the altcoin market, with traders shifting focus to major cryptocurrencies like Bitcoin and Ethereum, as well as other investment avenues such as meme coins and U.S. equities. The content emphasizes that these are personal opinions and not investment advice.

Dear readers, hello~

What were the crypto KOLs talking about in the past 24 hours?

Note: The following content is compiled from the X platform, representing personal opinions only, and does not represent the stance of this platform, nor does it constitute investment advice.

TOKEN 2049 Dubai Summit Postponed to 2027, Benefiting Hong Kong?

An Asian Exchange to Welcome a US Buyer?

Popular Replies:

Everyone wants a piece of the juiciest cake in the US, everyone needs to find a big brother;

That's competing for the Chinese-speaking market share;

Bybit seems to be seeking a "compliant backer";

coinbase+base+cex? Solana is drawing circles in the corner again;

Over ten billion is a bit low, because Bybit's spot and futures market leads OK's, being valued lower than OK seems a bit cheap

Circle Wants to Cut Ties with Canada

Popular Replies:

The收益 generated by circle's Arc链上 usdc still needs to be split 50/50 with coinbase, but the agreement expires in 2026 and needs to be renegotiated.

When circle was 50, you were bearish saying it would fall back to the issue price of 30; when circle was 120, you were bullish saying it would rise to 1000. Did you change, or did circle change?

Circle cutting ties with Canada, stock price doubled.

The Altcoin Market with Dried-up Liquidity

Popular Replies:

Making money with altcoins is just the process, losing it all is the结局 for most people;

In this market, you might as well focus on Bitcoin and Ethereum instead of altcoins;

Gold, US stocks, and二级土狗 in the crypto circle have taken away the liquidity that originally belonged to altcoins,叠加 with the大盘回调, where is the liquidity left?

现在的山寨呀,各自走各自的路。 (Nowadays altcoins, each goes its own way.)

Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original article link:https://www.bitpush.news/articles/7619642

İlgili Sorular

QWhat is the main reason discussed for TOKEN 2049 Dubai Summit being postponed to 2027, and how might this benefit Hong Kong?

AThe article suggests that the postponement of the TOKEN 2049 Dubai Summit to 2027 could potentially benefit Hong Kong, though specific reasons for the delay or direct advantages to Hong Kong are not detailed in the provided content.

QWhich Asian exchange is rumored to be acquiring a U.S. buyer, and what are the speculated motivations behind this move?

ABybit is the Asian exchange mentioned as potentially seeking a U.S. buyer, with motivations including gaining a 'compliance foothold' and accessing the lucrative U.S. market.

QHow did Circle's relationship with Canada change, and what impact did it have on its stock price?

ACircle cut ties with Canada, which reportedly led to a doubling of its stock price, as mentioned in the article's hot replies.

QWhat are the cited reasons for the liquidity drought in the altcoin market according to crypto KOLs?

AKOLs attribute the liquidity drought in altcoins to capital being diverted to Bitcoin, Ethereum, U.S. stocks, and secondary meme coins, compounded by a broader market pullback.

QWhat critical agreement between Circle and Coinbase is set to expire in 2026, and what does it involve?

AThe agreement between Circle and Coinbase, set to expire in 2026, involves sharing the revenue generated from USDC on the Arc chain, with Coinbase currently receiving half of the earnings.

İlgili Okumalar

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.

bitcoinist8 dk önce

Upbit Rebalances 864B SHIB In Internal Wallet Move

bitcoinist8 dk önce

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.

marsbit8 dk önce

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

marsbit8 dk önce

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.

marsbit13 dk önce

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

marsbit13 dk önce

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.

marsbit58 dk önce

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

marsbit58 dk önce

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.

marsbit1 saat önce

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

marsbit1 saat önce

İşlemler

Spot