Recently, Bitcoin Magazine CEO David Bailey revealed on the social media platform X that he had a conversation with US President Donald Trump, during which Trump expressed strong support for the cryptocurrency industry.

Golden Finance launches the 2585th issue of "Golden Morning 8", a morning report on the cryptocurrency and blockchain industry, to provide you with the latest and fastest news on the digital currency and blockchain industry.

Recently, Bitcoin Magazine CEO David Bailey revealed on the social media platform X that he had a conversation with former US President Donald Trump, in which Trump expressed strong support for the cryptocurrency industry.

I hope that in the new year we can continue to maintain our passion and continue to find what we love and gain what we want in this industry.

Trump, TRUMP, 48 hours after the issuance of Trumpcoin: an absurd adventure in the world of speculation. Golden Finance, a zero-sum game, the money obtained by the winner is lost by more people.

As the cost of AI model training and reasoning drops significantly, more and more companies and individuals will build their own AI models, and AI will become popular around the world and penetrate into all aspects of society.

BTC, Market, BTC meets Spring Festival Golden Finance, I would like to dedicate this article to all those who are looking for certainty in the maze of time

Projects, project investment, Meme coin chain sweeping operation guide - how to scan the chain to find 100x opportunities. Learn about chain sweeping skills in one article. Golden Finance, the big opportunities in the future are all on the chain, and the exchange is just the last stop to get off.

X is apparently sinking, as the company is struggling to stay financially afloat, according to the news reports by Verge and Wall Street Journal. According to the two media outlets, they have gained insights on a private email between an X employee and Musk, where Musk was apparently ranting about the dire financial situation of the company....

Tribe.Run, a Solana-based Social-Fi platform, has seen rapid growth, with user numbers rising from 1,400 in December 2024 to over 3,000 by January 2025. The platform offers unique creator-focused features, including the ability for creators to buy their own tokens before launch, and has benefited from a year of research, including feedback from former FriendTech users.

According to CryptoPotato, a recent study has identified a vulnerability in Apple's M-series chips that could enable hackers to retrieve the cryptographic private keys of Mac users. The vulnerability functions as a side channel, allowing the extraction of end-to-end keys when Apple chips execute implementations of commonly used cryptographic protocols. Due to its origin in the microarchitectural structure of the silicon, direct patching is not feasible, unlike traditional vulnerabilities. Instead, the report suggests a fix that relies on integrating defenses into third-party cryptographic software. However, this approach may significantly degrade the performance of M-series chips during cryptographic tasks, particularly in earlier generations like M1 and M2. The researchers explained that the exploitation of the vulnerability occurs when both the targeted cryptographic operation and a malicious application, operating with standard user system privileges, are processed on the same CPU cluster. The latest research sheds light on an overlooked phenomenon regarding DMPs within Apple silicon. In certain cases, these DMPs misinterpret memory content, including critical key material, as the pointer value used for loading other data. As a result, the DMP frequently accesses and interprets this data as an address, leading to memory access attempts. This process, known as 'dereferencing' of 'pointers,' involves reading data and inadvertently leaking it through a side channel, representing a clear breach of the constant-time paradigm. The researchers identified this hack as a 'GoFetch' exploit, explaining that it operates on the same user privileges as most third-party applications, exploiting vulnerabilities in clusters of M-series chips. It affects classical and quantum-resistant encryption algorithms alike, with extraction times varying from minutes to hours depending on the key size. Despite previous knowledge of similar threats, the researchers said that GoFetch demonstrates more aggressive behavior in Apple's chips, posing a significant security risk.

Researchers have revealed a flaw in Apple M1 chips that allows hackers to steal cryptographic keys via CPU manipulation. source: https://decrypt.co/223062/apple-chip-flaw-hackers-steal-crypto-go-fetch

最近の学術的なブレークスルーとして、研究者はアップルのMシリーズ・チップにある深刻な脆弱性を暴露した。 この欠陥は、権威ある研究機関の学者らによって発表された論文に詳述されており、攻撃者が暗号操作中に秘密鍵にアクセスすることを可能にしている。 MacBookが暗号資産ハッキングに脆弱な理由 この問題は、アップルのM1とM2チップのマイクロアーキテクチャに深く刻み込まれている。そのため、直接パッチを当てることは不可能だ。代わりに、サードパーティの暗号ソフトウェアの調整が必要となり、パフォーマンスを損なう可能性がある。 この脆弱性の核心は、これらのチップに搭載されているデータメモリ依存型プリフェッチャ（DMP）にある。この機能は、データを予測してプリロードすることで、CPUとメモリのレイテンシを最小限に抑えることを目的としている。 source: https://jp.beincrypto.com/44ki44od44ox44or44o744oe44od44kv44ow44od44kv5pqx5y36loh55sj55ux6zuj5qiz55qe/

최근 학계에서는 애플의 M 시리즈 칩에서 주로 암호화 자산의 보안에 영향을 미치는 심각한 취약점을 발견했습니다. 권위 있는 기관의 학자들이 발표한 논문에서 자세히 설명한 이 결함은 공격자가 암호화 작업 중에 비밀 키에 액세스할 수 있게 해줍니다. 맥북이 암호화 해킹에 취약한 이유 이 문제는 Apple의 M1 및 M2 칩의 마이크로아키텍처에 깊이 뿌리박혀 있습니다. 따라서 직접적인 패치는 불가능합니다. 대신 타사 암호화 소프트웨어를 조정하여 완화해야 하므로 잠재적으로 성능이 저하될 수 있습니다. 이 취약점의 핵심은 이러한 칩의 데이터 메모리 의존 프리페처(DMP)입니다. 이 기능은 데이터를 예측하고 미리 로드하여 CPU 및 메모리 지연 시간을 최소화하는 것을... source: https://kr.beincrypto.com/base-news/51206/

According to Foresight News, a newly discovered vulnerability in Apple's M-series chips could lead to wallet key leakage. The flaw is a side channel that allows end-to-end key extraction when the Apple chip runs an encrypted wallet. However, this defect cannot be directly patched as it originates from the chip's microarchitecture design. Instead, the issue can only be mitigated by implementing defensive measures in third-party encryption software, which significantly reduces the performance of the M-series, particularly in early M1 and M2 products. The vulnerability can be exploited when targeted encryption operations and malicious applications with regular user system permissions run on the same CPU cluster.

NVIDIA founder Jensen Huang delivered the opening speech at the GTC conference in San Jose, USA. In this speech, NVIDIA released their next-generation chip architecture Blackwell. According to reports, the Blackwell GPU is named after mathematician David Harold Blackwell and also follows the Hopper architecture previously launched by Nvidia. Blackwell GPUs contain 208 billion transistors and can support AI models with up to 10 trillion parameters. In addition to the chip itself, this architecture also uses the fifth-generation NVLink high-speed interconnect and the second-generation Transformer engine, which are comprehensively upgraded in all aspects. According to Huang Jenxun, this new chip will be available later in 2024. Huang Renxun said that Nvidia plans to use Blackwell to enter artificial intelligence companies around the world in the future and sign contracts with all OEMs, regional clouds, national sovereign AI, and telecommunications companies around the world. Currently, Amazon, Dell, Google, Meta, Microsoft, OpenAI, and Tesla have all planned to use Blackwell GPUs. It is worth noting that the previously legendary B100 did not appear. Instead, Nvidia released the super chip GB200, which is composed of a Grace CPU and two sets of Blackwell GPUs. Huang Renxun said that compared with H100, the computing power of GB200 is 6 times that of the former, and the computing power corresponding to processing multi-modal specific fields can reach 30 times. In addition, Nvidia also released the server GB200 NVL72, which is composed of 36 sets of Grace CPUs and 72 sets of Blackwell GPUs. This time, NVIDIA will launch a large general basic model called GR00T for the field of robotics. In addition, NVIDIA also launched Thor, a new computer suitable for robots. NVIDIA has made specific optimizations for related performance, power consumption and size. NVIDIA also launched a new AI inference server NIM (NVIDIA INFERENCE MICROSERVICE), allowing everyone to customize AI models and applications in this form. (36 krypton)

According to PANews, NVIDIA announced the launch of the NVIDIA Blackwell platform to empower the new era of computing. The platform enables institutions worldwide to build and run real-time generative AI on large language models (LLM) with trillions of parameters, reducing costs and energy consumption by up to 25 times compared to the previous generation. The Blackwell GPU architecture features six revolutionary acceleration technologies that will drive breakthroughs in data processing, engineering simulation, electronic design automation, computer-aided drug design, quantum computing, and generative AI. The NVIDIA GB200 Grace Blackwell superchip connects two NVIDIA B200 Tensor Core GPUs with the NVIDIA Grace CPU through a 900GB/s ultra-low-power interconnect. Compared to the NVIDIA H100 Tensor Core GPU, the GB200 superchip achieves up to 30 times performance improvement in LLM inference workloads, with cost and energy consumption reduced by up to 25 times. In addition, NVIDIA also introduced a general-purpose large model called GR00T for the robotics field during the GTC conference in San Jose, USA. NVIDIA also launched a new computer called Thor, specifically optimized for robotics in terms of performance, power consumption, and size. NVIDIA aims to give robots smarter brains through this initiative, enabling them to naturally imitate human behavior by observing it, greatly improving coordination and flexibility in their actions.

Recently, Antchain's two technical achievements in the Web3 infra layer were selected into the "SIGMOD 2024, the top international conference on databases" and the "DAC 2024, the top international conference on integrated circuit design". These two technologies are "Web3 storage LETUS" and "zk hardware acceleration". The former can provide high-performance storage for data flow and Web3 infra, and can also be used as a verifiable storage layer for Layer1 and Layer2, greatly improving performance, scalability and cost. The latter can be applied to technical fields such as trusted AI reasoning and Layer 2 proof, effectively improving the efficiency of verifiable calculations. This technology achieves 328 times the performance of a single-core CPU on the core algorithm component of zero-knowledge proof.

암호화폐 지갑 복구 서비스 업체 키체인X(KeychainX) 최고경영자(CEO) 로버트 로딘(Robert Rhodin)이 크립토슬레이트 기고문을 통해 "인공지능(AI) 기반 모델, 컴퓨팅 하드웨어 발전, 혁신적인 알고리즘, 사이드채널 공격 등 기술은 암호화폐 복구 서비스의 기능을 고도화시키고 있다. 이러한 기술적 혁신은 유실된 암호화폐 자산을 복구할 수 있는 새로운 희망을 제시한다"고 진단했다. 이와 관련 그는 "최근 인공지능(AI) 발전을 탄생한 GPT 기반 'PASS-GPT'는 비밀번호 추측 능력이 기존 모델보다 20% 강화됐으며, GPU 및 CPU 등 하드웨어의 성능 개선도 보다 공격적인 암호화폐 컴퓨팅 및 무작위 대입을 가능하게 만들고 있다"고 설명했다. 한편 현재까지 비밀번호 분실, 하드웨어 고장, 자산 소유자의 변고 등으로 수천억 달러 규모의 디지털 자산(암호화폐)가 유실된 것으로 알려졌다.

A start-up company led by Academician Yao Qizhi of Tsinghua University and incubated by the Interdisciplinary Information Institute of Tsinghua University has successfully developed the world's first zero-knowledge proof SOC chip. It is reported that the chip has completely independent intellectual property rights and is based on the 12nm advanced process. It performs complex multi-scalar multiplication (MSM) and number theory transformation (NTT) operations, supports programmable design, and can support accelerated operations of post-quantum cryptography, multi-party secure computing and federated learning. The chip performance is more than a thousand times faster than traditional CPUs, and the cost is affordable. Decrease ten times.