šŸŒAI Inclusion is of Paramount Importance.

Plus: Perplexity Popularity Surges + A Comparative Analysis of EVā€™s Adoption in China and the USA.

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Happy Friday, Team! Today, we delve into the critical life-and-death implications of AI exclusion. As perplexity in the tech world grows, Google's legal challenges regarding its alleged monopoly could paradoxically fuel its further expansion. Additionally, we'll explore a comparative analysis of EV adoption across the globe.

  • šŸ“° News and Trends.

  • Perplexity Popularity Surges.

  • A Comparative Analysis of EVā€™s Adoption in China and the USA.

  • šŸ§° AI Tools (Avatars / Selfies II)

  • AI Inclusion is of Paramount Importance.

  • Is Nvidia a monopoly? With a 90 percent share of the A.I. chip market, the company is facing antitrust investigations into the possibility that it could lock in customers or hurt competitors (NYT)

  • But they all need Nvidiaā€¦ Zuckerberg says Meta will need 10x more computing power to train Llama 4 than Llama 3 (TC)

  • AMD is becoming an AI chip company, just like Nvidia (TheVerge)

  • Man vs. machine: DeepMindā€™s new robot serves up a table tennis triumph (ARS)

  • Zico Kolter, a professor, and director of the machine learning department at Carnegie Mellon University, becomes the newest OpenAI board of directors member (TheInformation)

šŸŒ Other Tech news

  • Instagram is making views the primary metric for content turning the photo app into a video-first platform (TheVerge)

  • Amazon has partnered with TikTok and Pinterest to let the users of those social media apps buy products from Amazon without leaving those apps (pymnts)

  • Americaā€™s weight-loss drug (Ozempic), capital isnā€™t Hollywood or Manhattan. Itā€™s Bowling Green, Kentucky (Bloomberg)

  • Appleā€™s Mac Mini With M4 Chip, out later this year, Will Be Its Smallest Computer Ever (Bloomberg)

  • Microsoft and Palantir partner to sell AI tools to U.S. defense, and intel agencies (Yahoo)

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Perplexity Popularity Surges.

Perplexity Annualized Revenue Rate (Aimojo)

Perplexity AI, a San Francisco-based AI search startup, is rapidly growing as it challenges Google's dominance in the search market. With a recent $250 million funding round, the company has seen a sevenfold increase in monthly revenues and processed about 250 million queries last month.

Transitioning from subscriptions to advertising, Perplexity aims to compete in the $300 billion search ad industry. Despite initial data-gathering controversies and plagiarism accusations, the company has refined its strategies, focusing on high-quality sources and developing its proprietary search technologies. This shift underscores Perplexity's potential to reshape the AI-driven search landscape.

A Comparative Analysis of EVā€™s Adoption in China and the USA.

EV sales per region as Semafor.

In July 2024, China marked a significant milestone in the automotive industry as electric vehicles (EVs) and plug-in hybrid vehicles (PHEVs) collectively known as new energy vehicles (NEVs), accounted for over half of the car sales for the first time. This surge represents a 37% increase year-over-year, totaling 50.7% of all car sales, compared to 7% three years ago, underscoring a rapid growth fueled significantly by robust government incentives, including doubled cash incentives now at 20,000 yuan ($2,785) and a sales tax exemption up to 30,000 yuan ($4,175) for 2024 and 2025. In comparison, as of the first quarter of 2024, EVs accounted for approximately 10% of new vehicle sales in the US as per the Department of Energy.

Amidst this electric surge, another technological shift is gaining momentum in China: the rise of autonomous vehicles, particularly robotaxis. Companies like Baiduā€™s Apollo Go, along with Pony.ai, WeRide, AutoX, and SAIC Motor, are at the forefront of deploying these autonomous services across Chinese cities. As of now, at least 19 cities are running tests, with ambitious expansion plans like Apollo Go's aim to operate in 100 cities by 2030. This push into autonomy, however, comes with societal ripples, particularly affecting the 7 million ride-hailing drivers in China who face uncertain futures due to potential job disruptions. In the US, autonomous vehicle deployment is more cautious, focusing on testing in select cities. Companies like Waymo and Cruise operate only a few thousand vehicles primarily in test modes, with operational footprints in cities like San Francisco, Phoenix, and Los Angeles.

This juxtaposition of booming electric vehicle sales and the burgeoning robotaxi sector paints a dual narrative of technological advancement and social challenges. China's strategy reflects a concerted push to lead in crucial future technologies while navigating the socio-economic impacts of such rapid technological adoption. The U.S. has a more conservative and fragmented regulatory approach, with significant scrutiny and slower approval processes, reflecting safety and regulatory concerns following incidents during tests.

šŸ§° AI Tools

Avatars / Selfies II.

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AI Inclusion is of Paramount Importance.

The paramount importance of inclusivity in AI development highlights the severe, life-or-death implications of exclusion. This draws attention to the stark digital divide, noting that approximately 2.6 billion people lack internet access and another 3.1 billion endure regular electricity shortages. These factors aggravate social and economic disparities and restrict access to essential services such as healthcare.

Core Issues:

  • Biased AI: AI systems reflect the biases of their training data, leading to higher error rates and misdiagnoses, particularly for underrepresented groups.

  • Systemic Discrimination: Biased AI perpetuates inequalities, especially in healthcare, where it can result in systematic under-treatment or misdiagnosis.

Ethical Implications:

Exclusion from AI development violates the fundamental human right to equal participation in technological advancements. It could also narrow the focus of medical research and health policies, potentially marginalizing the health needs of billions.

Strategies for Inclusive AI:

  • Diversifying Datasets: Collecting data from underrepresented communities to improve AI training.

  • Developing Talent: Initiatives to nurture AI talent in marginalized communities.

  • Global Engagement: Encouraging dialogues between AI developers and global communities to meet diverse health needs.

  • Ethical Audits and Governance: Regular bias audits and embedding inclusivity in AI governance frameworks.

The acronym AGENCY, derived from these strategies, encapsulates a call to action to empower all of humanity in the AI era, emphasizing a shift from digital poverty to abundance. The article calls for a proactive approach to AI development that prioritizes ethical and inclusive practices.

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