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Palantir Earnings Could Ignite AI Stocks Before Nvidia
BeInCrypto·2026/04/23 21:03
Eramet could seek new investors in capital hike
Mining.com·2026/04/23 21:03
Jane Street asks court to dismiss Terraform Labs' insider trading lawsuit
The Block·2026/04/23 21:01

Pi Network’s Protocol 22 Deadline Is in 4 Days. Nodes That Don’t Upgrade Will Be Cut Off.
Crypto.News·2026/04/23 21:00
South Korea: Growth surge and BoK hike risks – ING
FXStreet·2026/04/23 21:00
Prediction markets bet Strait of Hormuz will be closed for a few more weeks
Cryptopolitan·2026/04/23 20:54
Intel crushes Q1 earnings as revenue hits $13.6 billion and EPS jumps to $0.29
Cryptopolitan·2026/04/23 20:54

Global crypto adoption slumps amid macro pressures, Turkey defies downtrend
CryptoNewsNet·2026/04/23 20:51

Cardano Teams Seek $50M for Bitcoin DeFi, Vision 2030
Coinlineup·2026/04/23 20:42
Flash
04:26
Samsung and SK Hynix reportedly spearhead price reduction requests to substrate manufacturersOdaily reported that the Korea Printed Circuit Association (KPCA) revealed Samsung and SK Hynix, envious of the frequent price hikes by upstream substrate manufacturers due to supply shortages in the market, are planning to request substrate suppliers to lower prices. In the latest price negotiations with substrate suppliers, they demanded a reduction in quotations, intending to retract the price increase of around 3%–4% on average in the first quarter of this year. It is reported that Samsung and SK Hynix are advocating for lower prices because earlier this year, the rise in the prices of raw materials such as gold and copper led them to accept an approximately 3%–4% price increase from substrate manufacturers. However, since the volatility in raw material prices has eased recently and the price hike factors have disappeared, they believe quotations in the second half of the year should return to pre-increase levels. (Golden Ten Data)
04:19
More than 113,483 BTC have been abnormally transferred since June 29On-chain analyst Maartunn, using CryptoQuant data monitoring, reported that since June 29, a total of 113,483 BTC (approximately $6.97 billion) have been transferred on-chain. All transferred coins had been held for over 3 months, including 22,921 BTC (approximately $1.41 billion) coming from long-term addresses that had held for more than 2 years.
04:12
SemiAnalysis: Meta to Accelerate Compute Power Procurement Instead of Slowing Down, Actively Engaged in Negotiations with Anthropic to Build Proprietary AI Model Service PlatformBlockBeats News, July 3rd, SemiAnalysis stated in its latest report that after the news broke that Meta may become a new Neocloud, the market's initial reaction was to sell off CoreWeave, Nebius, and other such cloud computing companies, and once again worry about "AI hash rate oversaturation."
However, the firm's assessment is quite the opposite: this worry may be unfounded. Meta's data center and computing power procurement will not slow down, but will instead continue to accelerate. The article mentioned that in just the first half of this year, Meta has already secured over 5GW of capacity in the cloud services and colocation data center space, and this doesn't even account for its self-built projects that are rapidly progressing.
SemiAnalysis stated that Meta is in final negotiations with Anthropic, hoping to gain access to Claude's privatized instance. If this materializes, the significance would not just be that "Meta has acquired more computing power," but that Meta may be in the process of constructing its own AI model services platform.
This model is somewhat similar to AWS's Bedrock, Microsoft's Foundry, and Google's Vertex. Meta could initially use Claude internally and in the future package the modeling capability as a token-as-a-service to provide external services. In the short term, it may be internal use of proprietary models and internal use of Anthropic models; in the long term, Meta may even incorporate Anthropic and OpenAI models into its own external service ecosystem.
SemiAnalysis stated that the rationale behind this is that Meta has computing power, advertising clients, social network distribution capabilities, and consumer entry points. If it can integrate cutting-edge models, intelligent agents, and sales and marketing SaaS, it will no longer just be a GPU buyer but will be moving toward AI applications and model distribution.