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Techub News reports that Google Deepmind's AlphaProof Nexus has solved dozens of open mathematical problems, including nine Erdős problems, two of which had remained unsolved for 56 years. The research findings have been published in the journal "Science." The article states that OpenAI previously faced criticism for releasing AI-generated mathematical proofs on GitHub without peer review, while Deepmind subjected its results to review before publication. (The Decoder)
Techub News reports, Google has launched the Guided Vision feature in Gemini Live for Android. This feature uses real-time camera assistance, aiming to help visually impaired users and enhance the product's inclusivity and accessibility. (Crypto Briefing)
Techub News reports that Google has released its latest AI model, Gemini 4 Argon, which focuses on enhancing code generation and cybersecurity capabilities, with the company promising significant advancements in this field. However, analysis points out that Google's progress in the personal AI assistant domain has fallen behind Wall Street's demands, as the latter is shifting toward more groundbreaking personal agent technologies. (CNBC)
Techub News reports, a U.S. federal judge has dismissed two antitrust lawsuits filed by educational technology company Chegg and Penske Media Corporation, the parent company of Rolling Stone magazine. The two companies accused Google of abusing its market monopoly by using its AI-driven search feature (AI Overviews) to divert website traffic. In the ruling, the judge stated that the plaintiffs' allegations did not meet the requirements of antitrust law. (The Verge AI)
Techub News reports that SpaceX plans to launch Planet Labs' satellite into orbit with Google's Tensor Processing Unit (TPU) onboard. This move aims to advance the development of space-based data centers. (CNBC)
Techub News reports that Google is sending its first AI data center into space. The project, named 'Project Suncatcher', aims to harness the abundant solar energy resources available in space to enhance the energy efficiency and scalability of AI processing. This move could revolutionize the way AI infrastructure is deployed. (Crypto Briefing)
Techub News report, Google has introduced the cutting-edge AI model Gemini 4 Argon, specifically designed to detect software vulnerabilities, aiming to enhance network security and software engineering efficiency. The model is expected to be applied in multiple industries to strengthen their security protection capabilities. (Crypto Briefing)
Techub News reports that executives from leading artificial intelligence companies such as OpenAI, Google, and Meta signed a voluntary safety agreement at the White House on Tuesday. The agreement requires companies to internally monitor their models and introduce external audits, but it lacks legal enforceability. SpaceX CEO Elon Musk likened this oversight structure to "peer grading homework." The agreement, presided over by President Trump, outlines four steps: internal monitoring of models by companies, establishing teams to verify controls, using external auditors, and oversight of the team by an independent board committee. Trump stated that the agreement is morally binding. (BeInCrypto)
Techub News reports that Google has launched its first frontier model in seven months, Gemini 4 Argon. Independent testing shows that its performance is comparable to OpenAI's GPT-6 Astra, but not as good as Anthropic's Claude Opus 5.5. The model is priced at $2 per million input tokens and $10 per million output tokens, but the number of tokens required to complete tasks is more than twice that of Astra. It is currently only available to selected testers, with API and paid tiers to follow. (The Decoder)
Techub News reports that Google has set pricing for its cutting-edge model Gemini 4 Argon. Specifically, the price is $2 per million input tokens and $10 per million output tokens. This pricing model may incentivize developers to optimize efficiency, thereby influencing AI application design and market strategy. (Crypto Briefing)
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