马斯克2025年在特斯拉薪酬约1583亿美元，为员工薪资中位数的252万倍
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Anthropic: The Claude model contains elements similar to "conscious human thought."
BlockBeats reported on July 7th that Anthropic released a new research report discovering a spontaneously generated internal "global working space" called J-space (Jacobian space) within the Claude model. This is a dedicated set of neural activation patterns for the model to engage in silent thinking, allowing it to process concepts without writing them down, similar to conscious thought that humans can report. The research used Jacobian technology to identify neural activation patterns in the J-space, enabling it to read unspoken concepts and modify these patterns. Experiments showed that disabling the J-space weakens multi-step reasoning abilities but does not affect basic tasks or factual recall. Click the original link below to join the Beating · Lark AI news channel for 24/7 monitoring of global AI hotspots and news.
The narrative of AI "stealing jobs" is cooling down, and tech giant CEOs are collectively turning optimistic.
According to BlockBeats, on July 6th, executives from several tech companies recently adjusted their statements regarding the impact of AI on employment, shifting from emphasizing that "AI will massively replace jobs" to believing that AI is more about improving productivity and creating new jobs. OpenAI CEO Sam Altman stated that the industry previously underestimated the role of humans in AI systems; Anthropic CEO Dario Amodei said that AI could either drive layoffs or help companies accomplish more without increasing staff, the outcome depending on management decisions. A recent survey by EY-Parthenon shows that the proportion of executives who believe AI investment will lead to large-scale layoffs has decreased from 46% in January 2025 to 20% in May 2026. A joint study by Ramp and Revelio Labs shows that companies investing heavily in AI are experiencing approximately 10% higher employee growth rates than their counterparts that haven't invested in AI. Despite Meta CEO Mark Zuckerberg and Amazon CEO Andy Jassy both stating that AI has the potential to create more jobs, both companies have continued to streamline their organizations this year, raising questions about the corporate AI narrative. A survey by technology consulting firm Emergn shows that approximately 20% of US business managers report that internal AI project reports exaggerate achievements and downplay problems. Industry insiders believe that the commercialization of AI is slower than market expectations, and the application effects vary significantly across different industries and scenarios. --------------------------------- Click the original link below to join Beating's AI news channel on Feishu, monitoring global AI hotspots and news 24/7.
Palantir CEO: Enterprises are dissatisfied with "cutting-edge labs" like OpenAI and Anthropic, which only pursue token maximization.
According to BlockBeats, on July 2nd, Palantir CEO Alex Karp, in an interview with CNBC's "Squawk Box," strongly criticized leading AI model companies, calling the way AI is sold "completely wrong." Karp emphasized that companies are already dissatisfied with "cutting-edge labs" like OpenAI and Anthropic, believing they only pursue token maximization, wasting companies' time and money while handing over proprietary value and IP. Karp stated that companies are "angry" and will commit to owning their own AI production resources rather than relying on third parties. On June 29th, Palantir partnered with Nvidia to deploy Nvidia Nemotron open AI models in sovereign environments, primarily serving the US government and critical infrastructure customers. The collaborative system reportedly integrates Nvidia AI technology with Palantir's AIP, Foundry, Ontology, and Apollo platforms, helping organizations train, customize, and deploy AI locally while maintaining complete control over data, intellectual property, and models.
Circle CEO: USDC remains the world's most trusted stablecoin and will continue to expand its ecosystem and welcome market competition.
According to BlockBeats, on July 1st, Circle co-founder and CEO Jeremy Allaire stated that as the internet continues to reshape the global infrastructure for storing and transferring funds, stablecoins will become one of the biggest market opportunities globally. This is the core reason why Circle founded and continues to build the world's largest compliant stablecoin network. Allaire stated that USDC remains the most trusted, widely used, and institutional-facing stablecoin globally, currently boasting thousands of partners across multiple sectors including banking, payments, capital markets, and enterprises. Circle will continue to expand the USDC ecosystem, including supporting more blockchain networks, improving cross-chain interoperability, and encouraging more partners to participate in sharing the economic value of the USDC network. Furthermore, Allaire stated that Circle welcomes continued innovation and competition in the stablecoin field and will continue to expand the support for more USD and non-USD stablecoins across its Arc, CCTP, StableFX, Circle Wallets, and CPN platforms, promoting the construction of an internet finance system centered on stablecoins.
NVIDIA unveils Vera Rubin platform: a rack-mount supercomputer that will deliver 7 Exaflops of AI computing power.
Mars Finance reported on June 22 that NVIDIA announced the launch of the Vera Rubin supercomputing platform, targeting scientific computing and high-performance computing (HPC). A single-rack system can provide over 7 Exaflops of AI computing power and 5 Petaflops of FP64 double-precision performance, described by NVIDIA as "achieving TOP500-level supercomputing capabilities in a single rack." The platform integrates the Rubin GPU and Vera CPU architectures, combined with technologies such as NVLink-C2C, ConnectX-9 SuperNIC, and BlueField-4 DPU, supporting the unified computing needs of AI training, scientific simulation, and data-intensive research. NVIDIA stated that Vera Rubin will be primarily applied to highly complex scientific computing tasks such as climate modeling, computational fluid dynamics, quantum chemistry, and energy exploration, and will support an integrated workflow of "AI + simulation + data analysis." At the application level, institutions such as the Leibniz Supercomputing Center, the National Energy Research Scientific Computing Center (NERSC) of the U.S. Department of Energy, and Los Alamos National Laboratory have planned to use this platform to build next-generation supercomputing systems. In addition, companies such as Bull, Dell Technologies, HPE, and Supermicro will also launch high-density liquid-cooled rack-mount supercomputing solutions based on Vera Rubin. NVIDIA CEO Jensen Huang stated that the platform aims to integrate AI, simulation, and data processing into "new scientific tools" to accelerate scientific discovery and industrial innovation.
Goldman Sachs CEO: AI will not lead to mass unemployment on Wall Street
According to BlockBeats, on June 4th, Goldman Sachs Chairman and CEO David Solomon stated in an interview that while artificial intelligence (AI) is rapidly permeating the banking industry, he does not believe it will cause large-scale white-collar job losses on Wall Street. Solomon pointed out that employees at all levels within Goldman Sachs, from back-office staff and junior analysts to senior investment bankers, are actively using AI technology. He believes that AI will improve productivity and change the way we work, but will not cause large-scale job losses. In addition, Solomon discussed the current capital market environment and Goldman Sachs' role in the SpaceX IPO and Alphabet's historic equity financing. He also shared his early experience in the junk bond business and stated that AI is changing the music production industry. As major global banks accelerate the deployment of AI, the impact of AI on employment and productivity in the financial industry is becoming a focus of market attention.