# Сопутствующие статьи по теме Scaling

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Scaling", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Tsinghua's Prediction 2 Years Ago Is Becoming Global Consensus: Meta and Two Other Major AI Institutions Have Reached the Same Conclusion

Summary: In a remarkable validation of Chinese AI research, Meta and METR have independently reached conclusions that align perfectly with the "Density Law" proposed by a Tsinghua University and FaceWall Intelligent team two years ago. Published in Nature Machine Intelligence in late 2025, the law states that the computational power required to achieve a specific level of AI performance halves every 3.5 months. This convergence was starkly evident in April 2026. METR reported that AI capabilities are doubling every 88.6 days, while Meta's new model, Muse Spark, demonstrated it could match the performance of a model from the previous year using less than one-tenth of the training compute. When plotted, the growth curves from all three sources—using different metrics (parameters, compute, task length)—show an almost identical exponential slope. The findings have profound implications: AI inference costs are collapsing faster than anticipated, powerful edge-computing AI is becoming rapidly feasible, and the industry's strategy of simply scaling model size is becoming economically inefficient. The Chinese team, which has been building its "MiniCPM" model series based on this law since 2024, is seen as having a significant two-year lead in practical engineering experience, marking a rare instance where Chinese researchers pioneered a fundamental predictive trend in AI.

marsbit04/13 12:14

Tsinghua's Prediction 2 Years Ago Is Becoming Global Consensus: Meta and Two Other Major AI Institutions Have Reached the Same Conclusion

marsbit04/13 12:14

Ethereum Boom: 284K New Users Flood Network In Q1

In Q1 2026, Ethereum achieved record-breaking transaction volume with 200 million processed—a 43% quarterly increase—while attracting 284,000 new users, according to Artemis. Active addresses surged 82% to 12.6 million, driven largely by reduced transaction costs from Layer-2 scaling solutions. Despite strong on-chain growth and $2 billion in net inflows, ETH’s price remained stagnant, trading between $2,105 and $2,200. Analysts note that capital flow and exchange activity, rather than usage metrics, are now stronger price indicators. Falling exchange reserves suggest reduced selling pressure. The rise in new users is attributed to lower barriers via L2 networks, signaling organic adoption beyond speculation.

bitcoinist04/11 21:31

Ethereum Boom: 284K New Users Flood Network In Q1

bitcoinist04/11 21:31

Weekly Token Unlocks: STRK Unlock Amount Reaches 4.2% of Circulating Supply

This week's major token unlocks feature significant releases from two leading Ethereum Layer 2 scaling solutions, Starknet and ZKsync. Starknet will unlock 130 million STRK tokens, valued at approximately $4.35 million. This amount represents about 4.2% of its circulating supply. Developed by StarkWare, Starknet utilizes zk-STARK technology to enable faster and cheaper transactions on Ethereum by verifying computations without requiring every network node to validate each operation. Concurrently, ZKsync is set to unlock 170 million ZK tokens, with an estimated value of $2.72 million. Developed by Matter Labs, zkSync is a Layer 2 scaling solution that uses zero-knowledge proofs to enhance throughput while maintaining the security properties of the underlying Ethereum blockchain. All user funds are held by smart contracts on the main chain. Both projects have provided detailed token release schedules outlining their respective unlock curves.

marsbit04/11 13:50

Weekly Token Unlocks: STRK Unlock Amount Reaches 4.2% of Circulating Supply

marsbit04/11 13:50

DeepMind Founder's Latest Interview: AGI May Be Achieved Within 5 Years, Scale 10 Times That of the Industrial Revolution, Previous Wave of Ideas Has Been 'Squeezed Dry'

DeepMind co-founder Demis Hassabis predicts that AGI, defined as a system with all cognitive abilities of the human mind, has a high probability of being realized within the next five years. He identifies compute power as the primary bottleneck, though scaling laws continue to yield significant returns. Key missing capabilities include continuous learning and robust generalization, which he terms "jagged intelligence." Hassabis believes AGI will become the most powerful tool in science and medicine, potentially leading to a golden age of discovery. He emphasizes the need for global coordination on AI safety and regulation, proposing an international framework similar to the IAEA. While acknowledging risks like misuse and labor disruption, he views the AI revolution as potentially ten times the scale and speed of the Industrial Revolution. He advocates for equitable distribution of benefits and sees AI driving breakthroughs in energy, materials science, and healthcare, including cancer cures.

marsbit04/10 00:00

DeepMind Founder's Latest Interview: AGI May Be Achieved Within 5 Years, Scale 10 Times That of the Industrial Revolution, Previous Wave of Ideas Has Been 'Squeezed Dry'

marsbit04/10 00:00

Just Now, Zuckerberg's $14.3 Billion "Avocado" Is Here: Challenging GPT-5.4 Head-On, Silicon Valley's Most Expensive Chinese Debut

Meta has unveiled Muse Spark (codenamed Avocado), its first AI model from the Meta Superintelligence Lab (MSL), positioning it as a direct competitor to leading models like GPT-5.4 and Gemini 3.1 Pro. With a score of 52 on the Artificial Analysis benchmark, it significantly outperforms its predecessor, Llama 4 Maverick (18 points), and ranks among the top models. Key features include native multimodal perception, tool use, visual chain-of-thought reasoning, and multi-agent collaboration via a "Contemplating Mode." Muse Spark excels in multimodal tasks, health-related queries (trained with input from 1,000+ clinicians), and agent-based applications, though it lags slightly in coding and complex reasoning tasks. The model is highly token-efficient, using significantly fewer tokens than competitors like Opus 4.6 and GPT-5.4 for similar performance. It is integrated into Meta's platforms (meta.ai, Facebook, Instagram, WhatsApp) and is free to use, though it remains closed-source. The development involved a complete rebuild of Meta's AI stack, reducing pre-training compute needs to one-tenth of Llama 4's requirements. The project, led by Chief AI Officer Alexandr Wang and a team of researchers from OpenAI and DeepMind, marks Meta's re-entry into the top tier of AI development.

marsbit04/09 07:49

Just Now, Zuckerberg's $14.3 Billion "Avocado" Is Here: Challenging GPT-5.4 Head-On, Silicon Valley's Most Expensive Chinese Debut

marsbit04/09 07:49

When Transaction Fees Are No Longer a Barrier, What Will Determine the Winner Among Public Blockchains?

As transaction fees decline across major blockchains due to scaling improvements, competition is shifting from cost to specialization. Bitcoin is enhancing programmability and asset utility through ZK rollups like Citrea and wrapped BTC, unlocking its dormant capital. Ethereum consolidates as the liquidity hub for stablecoins, DeFi, and RWA, with lower L1 fees and L2s evolving into specialized execution environments rather than mere scaling tools. Solana positions itself as an internet-scale capital market, leveraging sub-cent fees and sub-second finality for payments, micropayments, and high-frequency trading infrastructure like propAMMs. Upgrades like Ethereum’s Glamsterdam and Solana’s Alpenglow aim to further boost throughput and reduce latency. The industry is moving toward scenario-specific optimization, with chains differentiating by ecosystem liquidity, throughput, and tailored functionality rather than transaction cost alone.

marsbit04/08 08:21

When Transaction Fees Are No Longer a Barrier, What Will Determine the Winner Among Public Blockchains?

marsbit04/08 08:21

Bitcoin Quantum-Proofing Push Could Open New Attack Risks, Mow Warns

Samson Mow, founder of Bitcoin firm Jan3, warns that a rushed transition to post-quantum cryptography could introduce new risks to Bitcoin rather than securing it. This comes in response to calls from Coinbase executives to act immediately against quantum computing threats. Mow argues that larger post-quantum signatures could increase transaction sizes by up to 125 times, leading to network congestion, compatibility issues, and reduced transaction capacity—potentially reigniting past conflicts similar to the "Blocksize Wars." While not dismissing quantum risks, Mow believes capable quantum computers are still over a decade away, and implementing a premature fix could create more vulnerabilities than it solves.

bitcoinist04/07 15:31

Bitcoin Quantum-Proofing Push Could Open New Attack Risks, Mow Warns

bitcoinist04/07 15:31

Ethereum’s network scales up, but ‘failed transactions’ point to deeper issues

Ethereum is experiencing a significant increase in failed transactions, with rates exceeding 35% on March 22nd, despite declining network usage. This indicates deeper execution issues beyond network congestion, as failures rise even without heavy load. The problem stems from user inputs, smart contract design, and network conditions, reducing efficiency, increasing costs, and weakening user trust. While active addresses remain high (488,000) and contract interactions steady (649,691), engagement is weakening due to execution friction. Retail users reduce activity, while institutions demand reliability. Most transactions now move to Layer-2 networks, lowering costs but adding complexity. This creates a gap where adoption grows but fails to compound, risking user migration to simpler ecosystems. Ethereum scales in capability but struggles with usability, requiring a balance between innovation and reliable execution for long-term growth.

ambcrypto04/05 07:26

Ethereum’s network scales up, but ‘failed transactions’ point to deeper issues

ambcrypto04/05 07:26

Ethereum is Building an 'Economic Special Zone', the Archipelago Era is Over

Ethereum is shifting from its fragmented "archipelago" model of Layer-2 solutions to a unified "Ethereum Economic Zone" (EEZ), a new initiative backed by the Ethereum Foundation and key protocols like Aave. This move aims to enable seamless, synchronous transactions across L2s, eliminating the delays and risks of bridges by allowing atomic cross-chain executions settled on Ethereum with ETH gas. However, this comes amid a significant decline in Ethereum’s activity and ETH price, which has dropped over 60% from its 2025 peak. While on-chain data shows Ethereum still holds the largest share of institutional capital—including $163.3B in stablecoins, 58% of real-world assets, and a $53B DeFi TVL—the economic model is struggling. With most activity moving to L2s, mainnet gas fees have collapsed, turning ETH inflationary and undermining its "ultrasound money" narrative. The article suggests Ethereum is becoming a "vault" or utility pipeline—secure and fundamental to global crypto finance, but increasingly boring and unable to capture value through fees. If Ethereum evolves into pure infrastructure like SWIFT, ETH may be revalued based on its utility as a settlement layer rather than speculative growth, challenging current investor expectations.

marsbit03/31 05:03

Ethereum is Building an 'Economic Special Zone', the Archipelago Era is Over

marsbit03/31 05:03

Ethereum Economic Zone (EEZ) Officially Launched: Someone Finally Tackles the L2 Isolation Problem

The Ethereum Economic Zone (EEZ) is a new framework designed to address the fragmentation and liquidity isolation caused by the proliferation of Layer 2 (L2) rollups on Ethereum. While L2s have successfully scaled Ethereum, they have created siloed ecosystems with separate liquidity pools, bridges, and infrastructure, forcing protocols to deploy across multiple chains and users to pay high costs and risks for cross-chain transactions. EEZ, funded by the Ethereum Foundation and co-initiated by Gnosis and Zisk, introduces synchronous composability between L1 and L2s. This allows smart contracts on an EEZ rollup to atomically call contracts on Ethereum mainnet or other EEZ rollups within a single transaction, eliminating the need for bridges. The result is shared liquidity, a unified security model, and a seamless user experience where assets and identities are portable across environments without explicit bridging steps. Built on Ethereum’s core values of openness, security, and decentralization, EEZ aims to reinforce Ethereum as the foundational settlement layer rather than allowing L2s to fork value away from it. The initiative is developed as open-source public infrastructure, with technical contributions from leaders like Jordi Baylina (creator of Circom) and support from projects including Aave and Centrifuge. EEZ is not a proprietary product but a community-driven effort to unify Ethereum’s economy into a single, composable system.

marsbit03/30 03:26

Ethereum Economic Zone (EEZ) Officially Launched: Someone Finally Tackles the L2 Isolation Problem