Qianli Technology buys Zeekr smart driving R&D assets, OpenAI Developer Day launches dots at $500 per month, and 300 media outlets push a bill setting AI scraping thresholds.
IT Home reported on September 29 that Qianli Technology announced its controlling subsidiary Qianli Smart Driving signed an asset transfer agreement with Zhejiang Zeekr. What was bought was electronic equipment and installation work for smart driving R&D, priced at 34.4388 million yuan. Zeekr selling R&D equipment to a company in the same system saves it the expense of maintaining its own smart driving line; Qianli Smart Driving taking over the equipment is equivalent to handing the autonomous driving work to a more focused party. The Geely system is doing subtraction on smart driving. For those holding auto parts and smart driving concept stocks, watch whether this kind of asset shuffling becomes more common. Automakers spend money on self-developed teams; selling equipment to specialized companies and then buying services back is the cheaper route. The amount isn't large, but it points to a direction.
Bloomberg reported on September 30 that OpenAI launched dots at its San Francisco Developer Day. This is an always-on AI assistant, not just one waiting for you to ask questions in a dialog box. At the same event, OpenAI set its Pro plan at $500 per month. The expensive tier bundles Astra Ultrafast, which the company says boosts answer generation speed by up to 8x. OpenAI also released ChatGPT data spaces, dynamic pages, and collaborative slides, moving the office software trifecta into the chat box, directly taking on Microsoft Office. What matters to you is your wallet. Free tier quotas were cut, and using the fast model requires paying more; ordinary people won't spend $500 a month. OpenAI isn't public yet, so what you can touch are its rivals: will Microsoft Office and Google Workspace cut prices in response? Funds holding those two should take a closer look.
Digiday reported on September 29 that executives from about 300 media outlets including Condé Nast and Hearst jointly pushed a federal bill. The bill targets bots that automatically crawl web content, which the industry calls the bad bots bill. What media fear is training data being taken for free. After news and images are scraped in bulk, readers ask AI directly instead of clicking into websites, and ad revenue drops accordingly. This time they're pushing for unified federal rules, no longer relying on each website to block on its own. For those holding content platform stocks, watch whether copyright negotiations can turn into revenue. For companies doing AI training, data procurement costs will go up. The news ordinary people scroll through will increasingly come from paid licensing rather than casual scraping.
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