
The Olympics are over. But that didn't stop a smart guy from using Generative AI to show us how the Olympics would look in a 1000 years. As if we're gonna be there to see it.
Breaking - AI Video Imagines the LA Olympics in 1,000 Years’ Time.
With the advent of generative AI, artists are now able to take on such large-scale undertakings. Josh Kahn used Runway, an AI movie generator, to imagine what the West Coast would look like in 3028.
You will see right away that the ocean has gotten closer to the city due to rising sea levels. Venice and other coastal areas of Los Angeles are presumably under water at this point.
After that, there's a tour of the several stadiums, all of which have ambitious and futuristic designs. The soccer stadium bears a striking resemblance to the Rome Colosseum, while the swimming arena is situated in the center of a lake.
While it's interesting to speculate about what the Olympics might look like in a millennium, Kahn tells the MIT Technology Review that the movie is really a showcase for the potential of AI video.
Kahn tells the MIT Technology Review, "We were watching the Olympics and the amount of care that goes into the cultural storytelling of the host city."
Los Angeles has a narrative and imaginative culture that has influenced people all over the world. Isn't it interesting to present what the Olympics would look like in Los Angeles if they were held there a millennium from now?
Similar to AI picture generators, AI video operates by having users write in a prompt, which an algorithm then analyzes to create an artificial image. It's similar to waiting for a Polaroid to appear when you're waiting for photographs to appear, but with AI, the appearance of the pictures is far less predictable than it is with Polaroid photos.
Users of generative AI, according to Kahn, should exercise patience and be ready to make mistakes, as reported by the MIT Technology Review. I should also mention how hard it is to make an AI video that is consistent.
"At the moment, these technologies are always superior to really nuanced human interaction on large-scale things," claims Kahn.
Filmmakers may initially employ AI video for broad shots where the magnifying of AI's errors isn't as noticeable, according to Kahn.
Generative AI olympics
The Paralympics are still in progress and the Olympic Games concluded in Paris last month, so it seems like a long way off until the Summer Olympics in Los Angeles in 2028.
However, Josh Kahn, a sports entertainment director who has created video for both the Chicago Bulls and LeBron James, is looking even further ahead at the potential of viewing the games in his hometown: what might the Los Angeles Olympics of 3028 look like?
With the release of OpenAI's Sora earlier this year, AI video production has become more widely used, making this the ideal kind of creative practice.
With generators such as Runway or Synthesia, users can quickly produce reasonably high-definition video by inputting commands.

Compared to more conventional creation methods like computer-generated imagery (CGI) or animation, it is quick, inexpensive, and has less technical challenges.
Even though not every frame is flawless—hands with six fingers or disappearing items are classic examples of distortions—there are, theoretically, a plethora of commercial uses.
With the help of technology, businesses, ad agencies, and content producers could swiftly and affordably produce videos.

Using the most recent iteration of Runway, Kahn—who has been experimenting with AI video tools for some time—imagined what the Olympics of the future may look like. For each shot, a new cue was entered into the model.
In this little over a minute long film, sprawling aerial views of a futuristic Los Angeles are shown. Sea levels have risen dramatically, leaving the metropolis packed tightly against the coast. Beach volleyball courts are housed in a dome in the midst of the bay, while a football stadium is placed atop a tower.
The film, which was made specifically for MIT Technology Review, aims to show off what artificial intelligence is already capable of rather than serve as a blueprint for the city.
Kahn says, "We were watching the Olympics and the amount of care that goes into the host city's cultural storytelling."
Los Angeles has a narrative and imaginative culture that has influenced people all over the world. Isn't it interesting to present what the Olympics would look like in Los Angeles if they were held there a millennium from now?
Above all, the video demonstrates how beneficial generative technology could be for artists. It also shows what's preventing it, though.
While Kahn did not reveal his shot lists or the number of takes required to get each shot just perfect, he did warn that anyone hoping to produce high-quality material with AI had to be cool with making mistakes.
In his futuristic concept, getting the AI model to think creatively about design was especially difficult.
For instance, the majority of AI models' training data does not contain many examples of stadiums floating over water.
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It's also challenging to maintain a sense of continuity throughout a video, since every shot calls for a different set of cues.
Consistency in color, sun angle, and building shapes is a challenging task for a video generating model. Additionally, there are no close-ups of humans in the film, something Kahn claims AI models still frequently have trouble with.
He claims that "right now, these technologies are always better on large-scale things as opposed to really nuanced human interaction." Because of this, Kahn believes that the first uses of generative video in cinema would likely involve long takes of people or landscapes.
Alex Mashrabov, an expert in AI video who founded Higgsfield AI, a new AI video firm, after leaving his position as director of generative AI at Snap last year, concurs about the shortcomings and failings of AI video as it stands now.
Additionally, he makes the point that producing high-quality dialogue-heavy video using AI is challenging because it frequently depends on nuanced body language and facial expressions.
Because it takes a lot of time to cue the models repeatedly until the desired outcome is achieved, some content creators might be hesitant to employ generative video.
According to Mashrabov, the success rate is usually one in twenty, although it often takes fifty or one hundred tries.
But it's sufficient for a lot of things. Mashrabov reports seeing an increase in AI-generated video commercials from large vendors such as Temu.
Video generators are in significant demand in nations that produce commodities, such as China, because they can swiftly create confrontational video advertisements for specific products.
It might take an AI model a lot of prompts to produce a usable advertisement, but filming it with real actors, cameras, and equipment could cost a hundred times as much.
As the technology gradually advances, applications such as these may represent the first large-scale application of generative video, he says.
“Although I think this is a very long path, I’m very confident there are low-hanging fruits,” Mashrabov says. “We’re figuring out the genres where generative AI is already good today.”
What did the Olympics do different in generative AI?
In terms of incorporating artificial intelligence (AI) technology into sports and important international contests, the 2024 Summer Olympics in Paris are expected to be a historic occasion.
With the Olympic Games embracing the digital era, the International Olympic Committee (IOC) has set forward an ambitious plan to use artificial intelligence (AI) to improve the entire Olympic experience.
This article addresses the possible effects, difficulties, and ethical issues surrounding this technological revolution as it investigates how artificial intelligence (AI) will change the 2024 Summer Olympics in Paris, from athlete performance to fan involvement.
A comprehensive framework for incorporating AI into the Olympic Movement, the Olympic AI Agenda was created by the IOC in acknowledgment of the revolutionary potential of AI.
By embracing AI's potential, this agenda seeks to inspire and accelerate good change across global sports, driven by the Olympic ideals of excellence, respect, and friendship.
The five pillars around which the Olympic AI Agenda is based are:
Foster an ethos of integrity
Improve access and fairness
Scale creation and distribution of moments that matter
Honor traditions while embracing innovation
Collaborate for shared impact
The IOC's approach to implementing AI is based on these principles, which make sure that technology breakthroughs are consistent with the fundamental ideals of the Olympic Movement.
AI technology will be used in five major areas during the Paris 2024 Olympics, all of which are intended to maximize the advantages for competitors, fans, and the larger Olympic community.
The athletes are the center of the Olympic Movement, and at Paris 2024, artificial intelligence (AI) will be a key component in improving their performance, guaranteeing fair competition, and advancing athlete safety..

Talent identification and development
Large-scale data on athlete performance, physical characteristics, and abilities will be analyzed by AI algorithms to find promising athletes in a variety of sports.
This technology can assist identify prospective Olympic stars who might otherwise go undiscovered, which will be especially helpful for nations with minimal resources.
Machine learning algorithms, for instance, may watch videos of young athletes and compare their physical characteristics and gaits to those of Olympians who have achieved success.
This might make it easier for national sports organizations and coaches to spot and develop talent, which could result in a more diversified pool of competitors at upcoming Olympic Games.
Advanced training and performance optimization
Paris 2024 will see a shift in athlete training regimens thanks to AI-powered devices. Wearable technology, biomechanical sensors, and video recordings all provide data that AI can analyze to deliver individualized insights to improve an athlete's performance.
These systems might include:
Real-time form and technique feedback during training
Predictive models for scheduling peak performance, enabling athletes to prepare for competition at optimal level
Tailored diets and recuperation schedules depending on physiological information
Gymnasts, for example, may employ artificial intelligence (AI) to evaluate their motions during practice and receive real-time feedback on their landing force, rotation speed, and balance. This could assist the athlete in fine-tuning their technique, which could help them cut vital seconds off their performance time or raise their execution ratings.
Enhancing judging and refereeing
At Paris 2024, one of the most important uses of AI will be in refereeing and judging. Sports requiring exact measurements or subjective scoring will benefit from the use of computer vision systems in conjunction with machine learning techniques to support human judges.
For instance, AI systems could evaluate live video feeds in gymnastics to evaluate routine complexity and execution, giving judges unbiased information to back their score decisions.
AI-powered sensors could provide incredibly accurate timing and measurement in track and field events, removing human error in close finishes.
This technology aims to reduce bias, increase accuracy, and enhance the fairness of competition across all Olympic sports.
Promoting clean competition
In Paris in 2024, artificial intelligence will be vital to the fight against doping. Sophisticated machine learning algorithms will examine the biological data of athletes, identify irregularities, and highlight possible cases of doping for additional examination.
These systems could:
Determine any odd trends in the performance statistics of athletes that might point to the use of performance-enhancing drugs.
Improve the efficiency of your analysis of blood and urine samples to maybe find new or designer medications.
Identify times or circumstances that pose a high danger of doping for athletes.
By using AI in anti-doping efforts, the Paris Olympics aim to preserve competitive integrity and level the playing field.
Ensuring athlete safety and well-being
AI technology will also be used to enhance athlete safety and well-being at Paris 2024. Machine learning models will analyze data from wearable devices and training logs to predict and prevent injuries[1].
These systems could:
Alert coaches to signs of overtraining or fatigue
Recommend personalized recovery strategies based on an athlete’s physiological data
Monitor mental health indicators to provide early intervention for psychological support
Additionally, AI will be employed to create safer sporting environments by detecting and preventing harassment and abuse. For instance, natural language processing algorithms could be used to monitor social media and identify targeted online abuse towards athletes, allowing for swift intervention and support.
AI is transforming athlete performance and training for the 2024 Summer Olympics in Paris. Artificial intelligence (AI)-driven tools, such as the Technogym Checkup, offer individualized training plans by evaluating athletes' physical conditions and customizing exercises to meet their requirements.
By ensuring that athletes receive the best possible training and recuperation, AI integration improves performance while lowering the chance of injury.
Real-time feedback from the digital coaches enables quick modifications and advancements, which makes AI a crucial instrument for reaching optimal athletic performance during competition.
Ensuring equal access to the benefits of AI
A key focus of the Paris 2024 Olympics will be leveraging AI to promote inclusivity and equal access to sports technology across the global athletic community.
Democratizing high-level training
AI-powered coaching platforms will be made available to athletes and coaches worldwide, regardless of their location or resources. These platforms could provide:
Virtual coaching sessions using computer vision to analyze and correct technique
AI-generated training plans tailored to individual athletes’ needs and available resources
Access to a global knowledge base of training methodologies and best practices
This democratization of high-level training resources aims to level the playing field between athletes from developed and developing nations, furthering the Olympic ideal of global participation and excellence.
Language translation and cultural exchange
AI-powered real-time translation systems will be deployed throughout the Olympic Village and venues, breaking down language barriers and fostering cultural exchange among athletes and delegations from different countries.
These systems could facilitate:
Seamless communication between athletes, coaches, and officials from different linguistic backgrounds
Enhanced media interviews, allowing athletes to express themselves in their native languages while providing instant translations for global audiences
Cultural exchange programs within the Olympic Village promoting understanding and friendship among participants
AI education and capacity building
The IOC will implement AI education programs for National Olympic Committees (NOCs) and International Federations (IFs) to ensure that all members of the Olympic Movement can benefit from these technological advancements.
These initiatives might include:
Workshops on implementing AI in sports administration and event management
Training programs for coaches on using AI-powered performance analysis tools
Guidance on ethical considerations and best practices for AI adoption in sports
By providing these educational resources, the Paris 2024 Olympics aim to create a more technologically equitable sporting landscape beyond the Games.
Optimizing olympic and paralympic games operations with a focus on sustainability
AI technology will play a crucial role in streamlining operations and enhancing sustainability at the Paris 2024 Olympics, from the planning stages through to post-Games legacy management.
Sustainable venue design and management
AI algorithms will be employed in the design and operation of Olympic venues to maximize energy efficiency and minimize environmental impact. This could involve:
Predictive models for optimal venue layout and capacity based on expected attendance and usage patterns
Smart energy management systems that adjust lighting, heating, and cooling in real time based on occupancy and weather conditions
AI-powered waste management systems for efficient sorting and recycling
For example, the Olympic Village could use AI to optimize energy consumption by predicting peak usage times and adjusting power distribution accordingly, potentially reducing overall energy consumption by a significant margin.
Transportation and logistics optimization
AI will be crucial in managing the complex logistics of the Olympic Games, particularly in transportation planning and execution. AI systems could:
Predict and manage traffic flows around Olympic venues to reduce congestion and emissions
Optimize public transportation schedules based on real-time demand and event timings
Coordinate the movement of athletes, officials, and equipment between venues with maximum efficiency
These AI-powered logistics solutions aim to not only improve the experience for athletes and spectators but also to minimize the environmental footprint of the Games.
Crowd management and security
Advanced AI algorithms will be used to analyze real-time data from cameras and sensors to manage crowd movements and enhance security. This could include:
Predictive models for crowd density and flow, allowing organizers to prevent dangerous bottlenecks
Anomaly detection systems to identify potential security threats quickly
Facial recognition for secure access control at venues (with appropriate privacy safeguards)
By leveraging AI for crowd management and security, the Paris 2024 Olympics aim to create a safer and more enjoyable experience for all attendees while optimizing resource allocation.
Knowledge transfer and legacy planning
The IOC plans to use AI to enhance knowledge transfer between Olympic Games, ensuring that insights and best practices from Paris 2024 can benefit future host cities. This could involve:
AI-powered analysis of operational data to identify efficiencies and areas for improvement
Virtual reality simulations of Olympic venues and operations for training future organizers
Predictive models for long-term legacy planning, helping to ensure that Olympic infrastructure continues to benefit host cities after the Games
AI technology will play a pivotal role in enhancing the spectator experience at Paris 2024, both for on-site attendees and global audiences watching from home.
AI algorithms will analyze viewer preferences and behavior to deliver tailored content to each spectator[. This could include:
Customized event schedules based on a viewer’s favorite sports or athletes
AI-generated highlights packages that focus on the moments most likely to interest each individual viewer
Personalized statistics and insights delivered in real-time during events
For example, a swimming fan might receive push notifications about upcoming races featuring their favorite athletes, along with AI-generated predictions and relevant historical data.
Augmented reality (AR) applications
AI-powered AR apps will provide spectators with an immersive and informative Olympic experience[1]. These apps could offer:
Real-time overlays of athlete statistics and performance data during live events
Virtual tours of Olympic venues, including behind-the-scenes areas normally off-limits to the public
Interactive AR games and experiences that allow fans to virtually participate in Olympic sports
Imagine pointing your smartphone at a track event and seeing real-time speed and positioning data for each athlete or using AR to visualize the trajectory of a gymnast’s routine in 3D space.

AI-enhanced broadcast production
AI will revolutionize Olympic broadcasting, enabling more dynamic and engaging coverage. This could involve:
Automated camera systems that use computer vision to follow the action, ensuring optimal shot selection
Real-time translation and captioning of commentary in multiple languages
AI-generated commentary and insights to complement human announcers
These AI-powered broadcasting enhancements aim to make the Olympic viewing experience more accessible and engaging for a global audience.
Social media and fan engagement
AI will be leveraged to enhance fan engagement across social media platforms. This might include:
Chatbots that can answer fan questions and provide real-time updates on events and athletes
AI-powered content creation tools that help fans share their Olympic experiences more creatively
Sentiment analysis to gauge public reaction to events and adjust coverage accordingly
By harnessing the power of AI in social media engagement, Paris 2024 aims to create a more interactive and participatory Olympic experience for fans worldwide.
A new era for the Olympic games with generative AI
AI technology integration at the 2024 Summer Olympics in Paris is a turning point for artificial intelligence and sports alike.
For both athletes and spectators, the Olympic Movement hopes to make sports more inclusive, sustainable, and interesting by harnessing AI's potential while carefully addressing its drawbacks.
The technology used and the lessons learnt will probably have a significant influence on international cooperation, sports, and event planning long after Paris 2024.
The successful incorporation of AI during these Games will pave the way for ever more ambitious uses of AI in major sporting competitions and future Olympic events.
The ultimate objective is to employ AI as a tool to develop the core principles of Olympicism, which are friendship, respect, and excellence, rather than just to make the Olympic Games more technologically sophisticated.
Not only will the world be watching incredible sporting accomplishments in Paris in 2024, but we will also be witnessing the beginning of a new era in which human potential is enhanced and honored via the deliberate application of artificial intelligence.
The 2024 Summer Olympics in Paris will act as a worldwide demonstration of artificial intelligence's capacity to revolutionize major events, foster global collaboration, and push the limits of human accomplishment.
The continuous conversation between technologists, athletes, sports administrators, and ethicists will be essential in crafting an AI-enhanced future that stays faithful to the Olympic Games' ageless ethos as we go forward.
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