The world of artificial intelligence is changing rapidly, and two major developments this week highlight how both technology advancement and data governance are redefining the industry. On one side, China’s tech giant Baidu has introduced its next generation of AI processors, signalling a strong push toward self-reliant AI infrastructure. On the other side, Reddit has taken legal action against several AI companies for what it calls “industrial-scale” data scraping of its platform. Together, these two events reveal the competing forces driving the future of AI: the race for computing power and the battle over data rights.
Baidu Unveils New AI Chips to Boost China’s Tech Independence
Baidu recently announced a powerful lineup of AI processors, including new models designed for large-scale training and inference tasks. According to reports, the company showcased next-generation chips and supercomputing products aimed at boosting China’s domestic AI capabilities.
These new processors are part of Baidu’s long-term strategy to create a self-sufficient AI ecosystem, reducing reliance on Western chip suppliers. The move is especially significant at a time when U.S. export restrictions make it harder for Chinese companies to access advanced AI hardware.
Why This Matters
These chips will enhance China’s ability to develop and deploy large AI models.
Baidu’s roadmap also includes expanded supercomputing clusters to support national AI growth.
Lower-cost domestic chips could make AI more accessible across industries.
Baidu’s announcement marks a major milestone in the global AI hardware race, where companies compete not only on performance but also on strategic independence
Reddit vs. AI Companies: A Fight Over Data Scraping Rights
While Baidu focuses on hardware, Reddit is fighting a different battle — protecting user data. The social media platform has filed lawsuits against multiple AI companies, including Perplexity AI, accusing them of scraping massive amounts of user-generated content without permission. Reddit claims the scraping operations bypassed its protections and accessed data at an “industrial scale.”
The lawsuit seeks to block these companies from further using or selling Reddit data and demands financial compensation.
Why This Matters
AI companies rely heavily on human-generated text for training models.
Platforms like Reddit want compensation and control over how their data is used.
The case could set a major precedent for how training datasets are legally sourced in the future.
As more platforms restrict data access, AI companies may face higher costs or legal risks while building models.
Two Sides of the Same AI Story
Although these stories — Baidu’s chips and Reddit’s lawsuit — seem unrelated, they are deeply connected.
AI Needs Both Compute and Data
Baidu is strengthening the compute side of AI.
Reddit is challenging the data side of AI.
Without powerful chips, AI models cannot run.
Without high-quality data, AI models cannot learn.
A Shift in the Global AI Landscape
Nations are racing to build their own AI manufacturing pipelines.
Online platforms are pushing back against unrestricted data scraping.
AI companies must now navigate complex legal, ethical and technical landscapes.
Together, these developments signal a future where AI innovation will depend not just on technological breakthroughs, but also on who controls the data and how responsibly it is used.
Conclusion
Baidu’s new AI chips represent the growing importance of computing power in the global AI race, while Reddit’s legal fight highlights the rising tension around data ownership and fair use. As AI continues to evolve, we will see more such intersections between technology, law and ethics. The companies that succeed will be those that not only innovate but also respect the frameworks that govern data and user rights.
Both stories remind us that the future of AI will be shaped by hardware, data — and the rules that link them together.
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Еще предлагаю обращать внимание не только на название печенек, но и на их особенности — срок годности, домен и функциональные пути. Это помогает более детально определить целевые файлы и избежать лишнего «шума» в данных. Всем достижений в поиске!