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Hollywood actors and writers are striking an industry in crisis. The dilemmas all face are a dress rehearsal for how Americans will cope with the growing gig economy and artificial intelligence.

Covid-19 disrupted industries in similar ways as wars and financial crises by accelerating adjustments to new technologies and consumer preferences. Consider development processes for rDNA vaccines.

Before cable, big-screen TVs and the internet, just about everyone was limited to what their local theaters and the three major networks offered.

Larger cities had one or few independent stations, New York had three and Washington one but their prime-time fare was mostly reruns of popular network shows.

In this environment, the residual system thrived. Actors and writers were paid for the work on the original print of a movie or TV show and again for reruns on affiliate and independent stations.

While movie studios and networks hardly had monopolies, the limited choices made for growing revenue that studios and networks could reasonably share with creative talent. Working-class actors and writers generally worked steadier, earned more and enjoyed a better employment environment.

The proliferation of channels on cable created wider employment opportunities, but the real boom came with streaming and its fusion with inexpensive big-screen TVs about a decade ago. That undermined the market for theaters. Releases with mega stars, high action and a lot of noise franchises like Indiana Jones and superheroes still have great big-screen appeal. But for ordinary drama and comedy, it takes a pretty compelling story to get Americans away from their couches, wine and cheese into the theaters with greasy popcorn.

Covid-19 shut theaters for a time, accelerating this dynamic, but it did not create it.

The market is fragmented. Residuals are smaller. Working-class actors and writers have a tougher time earning a living.

Writers rooms are smaller, fewer work on set and streaming series have perhaps 10 episodes per season, compared with 22 for linear TV.

The residuals an important part of actors and writers long-term income are simply a lot smaller than in the days when theaters and linear TV dominated.

With more Americans cutting the cord opting out of cable and relying on streaming the problems of the industry have worsened.

The big studios and other entrepreneurs have rushed into streaming, and the lake is overfished. Netflix, owing to its first mover advantage, earns a profit, but Disney, Comcast and Paramount had a combined loss of $8.4 billion in 2022.

Subscription fees are rising, but the number of movies and shows produced must get smaller.

Ultimately, the actors and writers strike pits working-class talent against the well-paid star actors and creators/writers. Recent job actions merely put producers in the tough position of dividing the loss.

Unless, of course, some innovation comes along that dramatically raises productivity enter stage right, artificial intelligence.

Much of what writers do is highly formulaic, consider cop shows and the typical Hallmark fare and a good deal of that will soon be doable in first draft by ChatGPT.

Where four or eight writers worked on a movie or show, perhaps one or two will suffice.

Like actors worried their identities will be appropriated by computer recreations, writers need limits on the use of characters and the fictional communities they create.

Going beyond that, if the Screen Actors Guild and Writers Guild of America negotiate overly strict limits on the use of AI by major studios and incumbent streaming services, new services will emerge that employ actors and nonunion contractors offering more flexibility.

What emerges to capture eyeballs would be produced by new streaming services unbound by rigid limits on AI.

New actors and writers willing to permit more liberal use of their likenesses and creative work will thrive much as workers at Tesla are taking market share from the UAW at GM and Ford.

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Peter Morici: Strict curbs on artificial intelligence would hurt striking ... - TribLIVE

Courtesy of Khoa Luu

One of the presentations at CVPR 2023

The annual conference on Computer Vision and Pattern Recognition, CVPR 2023, in Vancouver, Canada, attracted global attention tovarious uses of artificial intelligence, drawing over 1,000 attendees from more than 75 countries.

Khoa Luu, assistant professor in the Department of Electrical Engineering and Computer Science and area chair of the main conference, said, "This is one of the frontier AI conferences. This is why it attracts a lot of tech companies like Google, Amazon, Facebook, Microsoft, et cetera," he said. "These companies see emerging technologies and next generation AI products within this conference and attract a lot of research and scientists."

The conference received over 9,000 submissions, with 2,359 papers ultimately accepted for presentation. The U of A had a notable presence at CVPR 2023. Its doctoral students showcased their work at the main conference and in several workshops.

Naga VS Raviteja Chappa, a Ph.D. student, achieved third place at the best paper competition of the ninth International Workshop on Computer Vision in Sports. Xuan-Bac Nguyen, also a Ph.D. student, received the prestigious best reviewer award at the main conference. These students also served as panelists to review other submissions to the main conference.

Luu expressed his commitment to encouraging student participation in conferences.

"I do my best to secure grants and encourage graduate students to attend this conference," Luu said. "I do this so they can learn how to become professional researchers in the future. This conference gives them the opportunity to meet corporate attendees, communicate and interact with professionals in the industry. Our students often just stay in the computer lab creating code during their academic careers. They need to reach out and, you know, see and feel the beautiful insights and desires within the industry. It is more than just coding or being a robot machine. They need to see how things are applied and practiced. They need to learn how to present in a professional way and how to communicate with other people. I think this is a critical skill for a graduate student. They can learn this from the conference, and they must learn that they cannot just stay in the lab."

To facilitate student participation, various grants and sponsorships played a pivotal role. Luu expressed his gratitude to the sponsors, including the U of A, for supporting the students' research and enabling their enriching experiences at CVPR 2023.

Not only did Luu serve as the area chair for the main conference, he also was the co-organizer of the CVPR 2023 Precognition Workshop. He did this in collaboration with Aurora Innovation Inc., Google Research, Carnegie Mellon University, University of Houston and HKUST (Guangzhou).

Luu would like to give special thanks to all those who collaborated and sponsors:

Computer Vision and Pattern Recognition 2024 will be held June 17-21, 2024, at the Seattle Convention Center.

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Scientific discovery in the age of artificial intelligence - Nature.com

In a recent Blue Jays baseball game, I observed a concerning trend: multiple obvious balls were being called as strikes. This had a detrimental effect on the game, as the confused batters were swinging at pitches that were clearly outside the strike zone, resulting in additional strikes and ultimately leading to their quick outs.

This issue highlights the need for accurate determination of the crux or essence of the game. Fortunately, artificial intelligence (AI) has the potential to fulfill this role. Surprisingly, AI technology already exists but is currently unused in the context of baseball.

By harnessing the power of AI, the game could benefit from precise and unbiased assessments of whether a pitch is a ball or a strike. AI algorithms could analyze the trajectory and location of each pitch, taking into account the individual batters strike zone. This would eliminate the subjective human element and ensure consistency in the game.

Moreover, AI could enhance other aspects of baseball as well. It could be used to accurately determine if a runner is safe or out, reducing the uncertainty and controversy surrounding close calls. Additionally, AI could aid in the analysis of player performance, providing valuable insights for coaches and strategists.

Implementing AI technology in baseball would require a collaborative effort from baseball organizations, technology developers, and governing bodies. Embracing AI could revolutionize the sport, making it fairer and more objective.

In conclusion, the use of artificial intelligence in baseball has the potential to address the issue of incorrect calls and improve the overall fairness and accuracy of the game. With the existing technology just waiting to be utilized, it is time for baseball to tap into the power of AI and embrace its benefits.

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The Role of Artificial Intelligence in Baseball - Fagen wasanni

Artificial Intelligence (AI) is a rapidly evolving technology that has the potential to disrupt and enhance various industries. It is changing the way we work, learn, and operate businesses. Mobile applications are utilizing AI to intelligently search for solutions and provide expanded possibilities.

Simply put, AI combines computer science and robust datasets to enable problem-solving. It includes sub-fields such as machine learning and deep learning. AI has already been applied in various ways, from voice or language recognition in mobile apps to facial recognition software used by law enforcement agencies.

According to Nicole Alexander, the Head of Global Marketing at Meta and a Professor of Marketing and Technology at NYU, technology permeates every element of our society. It is AI technology that is becoming increasingly integrated into our everyday lives. For example, mobile apps can predict how individuals or their children may look in the future, and tasks previously performed by humans are now computerized with AI.

While advocating for the cautions and protections required in dealing with this revolutionizing era of AI, Alexander emphasizes the importance of governance, responsibility, and diverse training sets to prevent harm and maximize AI benefits. As an ecosystem develops around AI and rules are explored, businesses should tap into what AI can do for them. Small and large companies need to develop responsible and ethical AI systems, considering marginalized communities.

AI is not only a playground for tech entrepreneurs but also a growing conversation in government. It has positive implications for healthcare systems, urban planning, and the needs of communities. Alexander prepares graduate students to understand the positive effects of AI and urges executives to embrace their role and responsibility in decision-making. By understanding the underlying effects of AI, leaders can develop AI systems that align with their organizations values and communicate effectively with new employees.

In conclusion, AI is transforming various aspects of our lives and businesses. As it continues to evolve, it is crucial to prioritize responsible and ethical AI development, while considering marginalized communities and the impact on society as a whole.

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The Role of Artificial Intelligence in Everyday Life and Business - Fagen wasanni