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YouTube's AI can now target ads for cultural events

Pivot 5: 5 stories. 5 minutes a day. 5 days a week.

1. YouTube's AI can now target ads for cultural events

YouTube has announced the integration of Google AI in its advertising strategy with the launch of "Spotlight Moments." This feature utilizes AI to pinpoint the most-watched YouTube videos associated with significant cultural events, such as Halloween or the Oscars. Advertisers can then display ads on videos related to these events on a specialized YouTube channel where videos are organized into constantly updated playlists. Marketing agency GroupM has already embraced this AI-enhanced service, granting its advertising clientele access to Spotlight Moments.

AI's influence on advertising isn't novel. Over the years, algorithms and machine learning have been instrumental in ad targeting. Generative AI is being employed to craft assets for Search ads, extracting content from brand web pages and existing advertisements to generate new ad headlines and descriptions.

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2. Stack Overflow announces layoffs as AI grows

Stack Overflow, a prominent coding resource and forum, has laid off over a hundred employees, constituting 28% of its workforce. This significant reduction comes as AI-driven coding tools, notably OpenAI's ChatGPT, are beginning to dominate the coding landscape. CEO Prashanth Chandrasekar attributed the layoffs to challenges in achieving profitability and other unspecified "macroeconomic pressures." Interestingly, just the previous year, Stack Overflow had doubled its staff to 540. However, the subsequent introduction of ChatGPT in November by OpenAI led to a decline in Stack Overflow's web traffic as developers increasingly turned to AI-powered tools like ChatGPT and Microsoft's GPT-4 backed Github Copilot.

In response to the evolving industry dynamics, Stack Overflow is taking measures to adapt. They are developing their AI coding tool, named OverflowAI, and are considering charging tech giants like OpenAI that have constructed AI models using data from Stack Overflow. Chandrasekar emphasized the value of their data and believes companies should compensate them for its use. The broader implication of this shift raises questions about the future of AI models if there's a reduction in human-generated data.

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3. A new study shows 81% firms embrace Generative AI

A recent study involving 672 executives from companies boasting annual revenues exceeding $50 million reveals that 81% have established internal generative AI teams with a minimum of 10 members. This research, conducted by Wharton professor Stefano Puntoni and consultancy GBK Collective, underscores that generative AI is not a fleeting trend. Puntoni emphasizes that enterprises across various sectors are rapidly adopting generative AI, predicting a spending surge of over 25% in the upcoming year.

Interestingly, smaller enterprises, those with revenues ranging from $50-200 million, are at the forefront of this adoption. A significant 57% of these executives report weekly use of generative AI. In contrast, larger organizations exhibit skepticism, primarily due to concerns about the technology's accuracy. The study also highlighted popular applications for generative AI in the coming years, including data analysis (89%), marketing content creation (87%), and customer support (82%).

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4. Herculaneum's "Unreadable" Scroll Decoded by AI

Hundreds of charred ancient Roman scrolls, once deemed unreadable, have begun to reveal their secrets. Luke Farritor, a 21-year-old computer science student at the University of Nebraska-Lincoln, employed a machine learning model to successfully decipher the first text within one of these scrolls. This monumental achievement earned him the $40,000 First Letters prize from the Vesuvius Challenge. The deciphered text from the scroll reads "πορφυρας," which translates to "purple dye" or "cloths of purple."

Discovered in Herculaneum, a city devastated with Pompeii in 79 AD by Mount Vesuvius, these fragile scrolls from philosopher Philodemus' library remained unreadable until recent AI breakthroughs. This advancement offers hope for unveiling more ancient secrets.

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5. AI Leaders LeCun and Bengio Spar Over AI Safety

Over the weekend, a heated debate on AI safety and governance unfolded between two prominent figures in the AI realm: Yann LeCun, Meta’s chief AI scientist, and Yoshua Bengio, founder of Element AI. LeCun initiated the discussion with a Facebook post, urging the AI community to voice their confidence in AI's potential. Bengio countered, emphasizing the importance of prudence in AI safety and expressing concerns about open-source AI platforms, likening them to distributing dangerous weapons.

LeCun responded by underscoring the importance of designing AI systems for safety and refuted the comparison of AI to weapons. The debate also saw contributions from other AI experts, including Jason Eisner from Microsoft Semantic Machines. Despite their past collaborations and shared accolades, including the Turing Award in 2019, this debate highlighted the significant disagreements even among top AI researchers about the technology's potential risks and the path ahead.

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