SunBrief#60: Google Sues SerpApi Over Web Scraping

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Today in SunBrief 🌞

• Beyond the Algorithm: Rediscovering Your Core Strategic Value

• Google Sues SerpApi Over Aggressive Web Scraping Practices

• Samsung Unveils World's First 2nm Mobile Chip, Beating Apple to the Punch

• Stock Updates

• Meta Plans 2026 Launch for “Mango” Image & Video Model and “Avocado” Text Model

• AI Highlights of the Week

• Too Important to Miss

Beyond the Algorithm: Rediscovering Your Core Strategic Value

Why do top CEOs and thought leaders recommend Human Edge in the AI Age? Because industry veteran Nitin Seth has delivered your comprehensive roadmap for cultivating the skills that drive true innovation, like superior Problem-Solving and fearless Entrepreneurship. Stop reacting to AI headlines and start leveraging you and your team's core human strengths to future-proof your work and capture the next wave of value creation.

Google Sues SerpApi Over Aggressive Web Scraping Practices

Search Giant Accuses API Firm of Bypassing Protections and Misusing Licensed Content

Google is suing SerpApi for allegedly bypassing anti-scraping measures and reselling scraped data, raising broader questions about data ownership and consent.

Key Points:

• Bypassing Safeguards: Google accuses SerpApi of using fake identities, bot networks, and disguised crawlers to access content, even when sites explicitly block it.

• Licensed Data Misuse: The lawsuit claims SerpApi scrapes and resells content Google pays to license—like images and real-time data—violating usage rights.

• Last Resort: Google says it pursued legal action only after investing heavily in technical defenses and seeing ongoing scraping behavior.

• Industry Trend: Other websites have also taken legal action against SerpApi, signaling wider concern over scraping services operating in legal gray areas.

Why It Matters:

This lawsuit underscores rising tensions over data ownership as automated, monetized scraping fuels conflicts over who controls and profits from online content.

Samsung Unveils World's First 2nm Mobile Chip, Beating Apple to the Punch

Exynos 2600 Promises Major Gains in CPU, GPU, and AI Performance for Galaxy Devices

Samsung unveiled the Exynos 2600, the first 2nm mobile chip, promising major gains in performance, AI, and energy efficiency ahead of Apple’s expected 2026 launch.

Key Points:

• First to 2nm: Samsung leads the industry with its 2nm mobile chip, ahead of Apple’s TSMC-based 2nm roadmap for late 2026.

• Performance Boosts: The Exynos 2600 delivers up to 39% faster CPU performance and a 113% NPU (AI) performance increase, according to Samsung.

• Next-Gen GPU: Features a new Xclipse GPU with double the graphics performance and 50% better ray tracing capabilities.

• Apple's Plans: Apple is expected to adopt TSMC’s 2nm node in its A20/A20 Pro chips for the iPhone 18 series and possibly its foldable iPhone and M6 Mac chips by late 2026.

Why It Matters:

Samsung’s early move to 2nm chips could give Galaxy S26 devices an edge over Apple, as the race for performance, efficiency, and AI accelerates.

Stock Updates

Meta Plans 2026 Launch for “Mango” Image & Video Model and “Avocado” Text Model

AI Roadmap Unveiled Under Meta Superintelligence Labs Led by Scale AI’s Alexandr Wang

Meta plans two AI models: Mango (image/video) and Avocado (text/code), aiming for release in early 2026 under Superintelligence Labs.

Key Points:

• New AI Models: Mango (image/video) and Avocado (text/code) are being developed for a 2026 launch.

• Leadership: Led by Alexandr Wang, co-founder of Scale AI; roadmap unveiled with Chief Product Officer Chris Cox.

• Falling Behind: Meta has struggled to compete with OpenAI, Google, and Anthropic despite its scale.

• Internal Turmoil: Leadership reshuffles and researcher departures, including Chief AI Scientist Yann LeCun, have disrupted progress.

• High Stakes: Meta’s AI assistant lacks a breakout product; success of MSL’s first models could shape its future in generative AI.

Why It Matters:

Meta is relying on Superintelligence Labs—and the success of Mango and Avocado to regain competitiveness in next-generation multimodal and reasoning AI.

AI Highlights of the Week

• Sam Altman Reluctant About OpenAI Going Public

  Sam Altman says he’s “0% excited” about leading a public company, even as OpenAI eyes a $1T IPO.

  To stay ahead, it launched GPT-5.2 and a new image model during a "code red" push.

• Google Gemini Can Now Verify AI-Generated Videos

  Google Gemini can now verify if a video was AI-generated using its own tools by scanning for SynthID watermarks.

  It gives detailed results, but only works on content made with Google’s AI, not third-party models.

• Google Delays Gemini's Full Rollout on Android to 2026

  The switch from Google Assistant to Gemini on Android, originally planned for end of 2025, is now delayed into 2026 for a smoother transition.

  Once complete, Google Assistant will be discontinued, and Gemini will become the default AI across all devices.

• US Reviews Nvidia AI Chip Sales to China Under Trump Administration

  Trump's administration is reviewing whether to allow Nvidia to sell H200 AI chips to China, reversing Biden-era bans.

  Supporters say it boosts US firms; critics warn it risks national security by aiding China's AI and military.

Too Important to Miss

Instagram wants to limit hashtag spam

LLMs’ impact on science: Booming publications, stagnating quality

How OpenAI used aggressive discounts to dominate AI in universities

ASML's most advanced EUV machine is now central to Intel's comeback strategy

Last Week’s Poll Result

• Do you think AI models should be allowed to generate copyrighted characters like Disney’s?

  No, copyrighted characters should be blocked → 44.00%

  Yes, if it falls under fair use → 32.00%

  Maybe, but only with clear restrictions → 24.00%

• Do you think GPT-5.2 gives OpenAI a clear edge over Google’s Gemini 3?

  Maybe, but real-world use matters more → 40.00%

  No, Gemini still has momentum → 33.33%

  Yes, the benchmark gains are convincing → 26.67%

• Do you think space-based AI data centers are a realistic solution to Earth’s energy limits?

  No, Earth-based solutions are more practical → 41.94%

  Maybe, but costs and engineering are major barriers → 35.48%

  Yes, space offers virtually unlimited solar power → 22.58%

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