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- ⚖️ Google wants copyright changed
⚖️ Google wants copyright changed
Google’s AI Policy Proposal: What Startups Need to Know
Google’s recent AI policy proposal signals a strong push for looser copyright restrictions, streamlined AI regulation, and fewer export controls, aligning with OpenAI’s stance. For AI startups, this highlights the ongoing battle over fair use and data rights, as Google seeks to codify the ability to train models on publicly available—often copyrighted—content without restrictions. The legal uncertainty surrounding fair use means startups relying on web-scraped data or third-party datasets should closely watch upcoming court decisions, as they could shape what training data remains legally viable.
Apple's New Smart Display Confirms What This Startup Knew All Along
Apple has entered the smart home race with its new Smart Display, firing a $158B signal that connected homes are the future.
When Apple moves in, it doesn’t just join the market — it transforms it.
One company has been quietly preparing for this moment.
Their smart shade technology already works across every major platform, perfectly positioned to capture the wave of new consumers Apple will bring.
While others scramble to catch up, this startup is already shifting production from China to its new facility in the Philippines — built for speed and ready to meet surging demand as Apple’s marketing machine drives mass adoption.
With 200% year-over-year growth and distribution in over 120 Best Buy locations, this company isn’t just ready for Apple’s push — they’re set to thrive from it.
Shares in this tech company are open at just $1.90.
Apple’s move is accelerating the entire sector. Don’t miss this window.
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Implications for AI and Tech
If Google’s recommendations gain traction, AI startups could benefit from reduced compliance burdens and access to government datasets, fostering faster innovation. However, the proposal also opposes stricter liability rules for AI developers, arguing that model deployers, rather than creators, should bear responsibility for misuse. While this could protect startups from regulatory headaches, it also raises ethical concerns about unchecked AI risks. Meanwhile, Google’s criticism of export controls suggests potential easing of AI chip restrictions, which would improve access to computing power—a key bottleneck for many startups.
What Startups Should Do Now
Founders should stay proactive in tracking AI legislation, as the regulatory landscape remains fragmented across states and countries. While Google’s push for a federal AI framework could simplify compliance, it may not materialize quickly, so startups must navigate existing state laws carefully. Additionally, startups using AI should prepare for increasing transparency requirements, such as dataset disclosures, which are becoming more common globally. Ultimately, aligning business models with ethical AI practices and ensuring compliance with evolving data and liability regulations will be critical for long-term success.
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Take From the Rich, Give to the People, Big Data’s Robinhood
Big tech uses our data to pad their pockets. Facebook alone makes $42B a year. But modern-day Robinhood, $MODE, allows everyone to share in the profits. 45M+ users and $60M+ in revenue later, Mode prepares for an IPO.