Tag:

Pours

Ethereum
Crypto Trends

Ethereum Wins Big In ETF Race As Institutional Cash Pours In

by admin


Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

US spot Ethereum ETFs have attracted a surge of new capital this week, drawing in 154,000 ETH over the last seven days—about five times their recent weekly average. By contrast, Bitcoin funds managed just 7,800 BTC in the same period.

That gap points to growing interest in Ethereum’s broader uses, from DeFi to staking rewards, as big investors rethink their crypto allocations.

Rising ETF Inflows Point To Shifting Bets

Based on reports, June 11 was a standout day for Ethereum. Spot ETFs pulled in a record 77,000 ETH in a single session, marking the highest daily total for the token so far this month.

Investors are watching as the price edges closer to the $3,000 mark. A push past that level could spur more buying, especially if inflows stay strong.

$ETH spot ETFs are heating up. This week alone, they’ve seen 154K #ETH in inflows – 5x higher than their recent weekly average. For context: the biggest single-day $ETH inflow this month was 77K #ETH on June 11th. pic.twitter.com/8Xlerbc6GX

— glassnode (@glassnode) June 13, 2025

Ethereum Staking Adds Appeal

Another factor at play is staking. Holders can lock up ETH to help secure the network and earn rewards. Word is spreading that some ETFs may soon offer staking‑enabled shares.

That setup could make Ethereum products more attractive than Bitcoin funds, where staking isn’t an option. Yield‑hungry buyers may find that extra boost hard to resist.

Ethereum’s second‑layer solutions are also drawing attention. Protocols like Optimism and Arbitrum are cutting fees and speeding up transactions. That improvement is pulling more developers and users into the fold.

As these rollups gain steam, the network’s real‑world usability keeps climbing. For portfolio managers, that growing ecosystem can look like a strong reason to back ETH.

ETH is now trading at $2,533. Chart: TradingView

Bitcoin Flows Lag Behind

Bitcoin still dominates in total ETF assets, but inflows have been flat lately. The 7,800 BTC added this week barely tops the week’s usual figure and falls short of May 23’s one‑day high of 7,900 BTC.

In early June, some funds even saw redemptions, making flows jump around from day to day. That volatility may be pushing some institutions to explore alternatives.

Image: SKapl/iStockphoto/Getty Images

Analysts point out that investors are hunting for tokens with real‑world uses and upside potential. Ethereum’s role in decentralized finance, non‑fungible tokens and smart contracts gives it a multi‑purpose edge.

Bitcoin’s draw as a store of value still matters, but that single use case may feel limited compared with ETH’s broader toolkit. If ETF momentum stays with Ethereum, we could see more money rotate in its direction.

Featured image from Unsplash, chart from TradingView

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.





Source link

0 comments
0 FacebookTwitterPinterestEmail
Apple
Product Reviews

Apple says generative AI cannot think like a human – research paper pours cold water on reasoning models

by admin



Apple researchers have tested advanced AI reasoning models — which are called large reasoning models (LRM) — in controlled puzzle environments and found that while they outperform ‘standard’ large language models (LLMs) models on moderately complex tasks, both fail completely as complexity increases. 

The researchers from Apple, which is not exactly at the forefront of AI development, believe that the current LRMs and LLMs have fundamental limits in their ability to generalize reasoning, or rather thinking the way humans do.

Apple researchers studied how advanced AI models — the Claude 3.7 Sonnet Thinking and DeepSeek-R1 LRMs — handle increasingly complex problem-solving tasks. They moved beyond standard math and coding benchmarks and designed controlled puzzle environments, such as Tower of Hanoi and River Crossing, where they could precisely adjust problem complexity. Their goal was to evaluate not just final answers but also the internal reasoning processes of these models, comparing them to standard large language models under equal computational conditions. Through the puzzles, they aimed to uncover the true strengths and fundamental limits of AI reasoning.


You may like

Apple researchers discovered that LRMs perform differently depending on problem complexity. On simple tasks, standard LLMs, without explicit reasoning mechanisms, were more accurate and efficient and delivered better results with fewer compute resources. However, as problem complexity increased to a moderate level, models equipped with structured reasoning, like Chain-of-Thought prompting, gained the advantage and outperformed their non-reasoning counterparts. When the complexity grew further, both types of models failed completely: their accuracy dropped to zero regardless of the available compute resources.  (Keep in mind that the the Claude 3.7 Sonnet Thinking and DeepSeek-R1 LRMs have limitations when it comes to their training.)

A deeper analysis of the reasoning traces revealed inefficiencies and unexpected behavior. Initially, reasoning models used longer thought sequences as problems became harder, but near the failure point, they surprisingly shortened their reasoning effort even when they had sufficient compute capacity left. Moreover, even when explicitly provided with correct algorithms, the models failed to reliably execute step-by-step instructions on complex tasks, exposing weaknesses in logical computation. The study also found that model performance varied significantly between familiar and less-common puzzles, suggesting that success often depended on training data familiarity rather than true generalizable reasoning skills.

Follow Tom’s Hardware on Google News to get our up-to-date news, analysis, and reviews in your feeds. Make sure to click the Follow button.



Source link

0 comments
0 FacebookTwitterPinterestEmail
Asia Morning Briefing: All Eyes on TON as Elon Musk Pours Cold Water on xAI Deal Talks
NFT Gaming

Asia Morning Briefing: All Eyes on TON as Elon Musk Pours Cold Water on xAI Deal Talks

by admin



Good Morning, Asia. Here's what's making news in the markets:

Welcome to Asia Morning Briefing, a daily summary of top stories during U.S. hours and an overview of market moves and analysis. For a detailed overview of U.S. markets, see CoinDesk's Crypto Daybook Americas.

Telegram's blockbuster deal with xAI, which would see Elon Musk's AI company integrate into Telegram and the two firms share revenue, is still a work in progress despite an announcement from Pavel Durov earlier Wednesday, U.S. time, that the deal was inked.

TON, a token affiliated with Telegram's ecosystem, is trading at $3.30, rallying there from $3 after the initial – now refuted – announcement of the partnership was made. The token is down from an earlier high of $3.68, after Elon Musk posted on X that no deal had been signed between the two companies. TON is still up 11% on the day, according to CoinDesk market data.

While Durov has now confirmed that no deal has been signed, the Telegram founder said there is an “agreement in principle” which might be why TON still has significant support at the $3.30.

All eyes will be on Telegram and xAI as the Asia business day begins to see if more clarification comes from either side.

Unknown block type “articleLink”, specify a component for it in the `components.types` option

Decentralized BlueSky isn't a Web3 Company, Says CEO

VANCOUVER—Jay Graber, the CEO of fast-growing decentralized social media platform Bluesky, got her start in Web3 as a developer for privacy coin zCash, but she wants to keep her X competitor firmly in Web2.

Speaking at Web Summit in Vancouver on Wednesday, Graber argued blockchain technology’s permanence and resource-intensive design make it unsuitable for consumer-oriented social networks, where content is fleeting and personal.

“Why do you need your picture of what you post for lunch being maintained forever in this digital archive?” she asked on stage, highlighting the inherent scalability and cost limitations that drove her decision to avoid blockchain at Bluesky.

Graber, to be sure, isn't against crypto. She says there's still genuine value in the technology for things like payments and digital identity, even if sometimes Web3 often presents solutions in search of a problem, and has a trend of gravitating towards centralization.

“There’s a period where everyone was creating blockchain like this hammer, and we were just going to try blockchain for everything,” Graber said. “Every system that's trying to do it ends up with concentrations because it's easy, and convenience ultimately wins at the end of the day.”

For her, Bluesky's future lies in combining the ideals of decentralization, such as user autonomy and portability, with practical, Web2 infrastructure to create a platform that prioritizes users' needs.

“Blockchain will probably find its place somewhere in the world of technology, but Bluesky is not on a blockchain because we're just making the best choices for our users,” she concluded.

Nvidia's Earnings Beat Boosts Stock, Offers Modest Lift to AI Tokens

Shares of Nvidia rose roughly 4% in after-hours trading Wednesday after reporting stronger-than-expected first-quarter earnings, highlighted by a 69% revenue increase from last year and a 73% jump in its data center business driven by robust demand for AI chips. Net income rose 26% to $18.8 billion, boosting Nvidia’s year-to-date performance modestly higher, CoinDesk previously reported.

The earnings report provided a slight lift to AI-related crypto tokens like Bittensor (TAO), NEAR Protocol, and Internet Computer (ICP), though gains were modest.

However, Nvidia tempered future expectations, cautioning that second-quarter revenue might fall short of market estimates due to tariff-related trade tensions between the U.S. and China.

Market Movements:

  • BTC: Bitcoin dipped 1.2% to $107,800, though NYDIG sees more room for gains. At the same time, crypto markets shrugged off a U.S. court blocking Trump's broad tariffs as unconstitutional, with BTC trading remaining muted.
  • ETH: Ether is trading above $2700 as Asia begins its business day. Earlier, CoinDesk analyst Omkar Godbole wrote ETH is eying a breakout above $3,000, forming a bullish “ascending triangle” pattern with rising support and resistance at $2,735, as higher lows signal growing buying pressure and accumulation ahead of a potential price surge.
  • Gold: Gold has slipped 1% to $3,267.47 amid cooling safe-haven demand, though tariff and geopolitical uncertainty linger.
  • Nikkei 225: The Nikkei 225 is opening in the green, up 1%, as investors in export-reliant Japan are looking at a recent announcement that the Supreme Court has blocked Trump's tariffs with cautious optimism, even as crypto shrugged it off.
  • S&P 500: While the S&P 500 closed in the red, futures are up 1% as traders await more clarity regarding the court's move to block Trump's tariffs.



Source link

0 comments
0 FacebookTwitterPinterestEmail
Close