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Enhanced Games Put Doping, Technology And Profit On Center Stage

The Heat Of Competition In Nevada

Under the Nevada sun, athletes compete for prizes that can reach $250,000 for a single record-breaking performance. Among them was Canadian weightlifter Boady Santavy, who attempted to break the world record in the men’s snatch by lifting 183 kilograms. The attempt ended unsuccessfully when Santavy dropped the barbell, highlighting both the pressure and spectacle surrounding the Enhanced Games.

The Unconventional Arena Of Enhanced Athletics

The Enhanced Games bring together athletes from disciplines including weightlifting, swimming and track and field in a competition that openly permits the use of performance-enhancing drugs under medical supervision. Organizers position the event as an alternative model for elite sport, arguing that regulated enhancement offers greater transparency than traditional anti-doping systems. A total of 42 athletes participated in the competition, where prize money and appearance fees create additional financial incentives for competitors.

A Steroid Olympics Or A Controlled Revolution?

Critics have described the event as a “steroid Olympics,” arguing that it normalizes the use of performance-enhancing substances. Supporters counter that athletes follow medically supervised protocols rather than operating outside regulatory oversight. Record-breaking performances can earn prizes of up to $1 million, adding a commercial dimension rarely seen in traditional sporting competitions. The debate has placed the Enhanced Games at the center of wider discussions about performance enhancement, athlete safety and the future of elite sport.

Silicon Valley’s Bold Experiment

Backed by investors from the technology sector, the Enhanced Games have attracted support from entrepreneurs with backgrounds in cryptocurrency, artificial intelligence and biotechnology. Among the project’s supporters are investor Peter Thiel and former Coinbase executive Balaji Srinivasan. Enhanced Group, the company behind the event, has expanded beyond health and longevity initiatives into sports and performance enhancement, positioning itself at the intersection of technology, medicine and entertainment.

The Cultural And Regulatory Implications

Major sporting bodies, including the World Anti-Doping Agency and the U.S. Anti-Doping Agency, have criticized the competition and raised concerns about athlete welfare. Organizers argue that performance-enhancing drug use already exists across elite sport and that a regulated framework offers a safer and more transparent alternative. Beyond athletics, the controversy touches on broader questions surrounding biohacking, longevity, human enhancement and the growing commercialization of health technologies.

An Evening Of Unprecedented Spectacle

Hosted in a $50 million open-air stadium in Las Vegas, the event combines elements of traditional sports competitions, entertainment programming and technology conferences. High-profile attendees, including entrepreneur Bryan Johnson, added to the event’s visibility as organizers sought to position the Games as both a sporting competition and a showcase for emerging enhancement technologies.

Looking Ahead: Profit, Health And Performance

The Enhanced Games represent a broader effort to commercialize advances in human performance, longevity and health optimization. Supporters see the competition as a testing ground for technologies that could eventually influence medicine, fitness and wellness. Critics remain concerned about safety, accessibility and the long-term consequences of normalizing enhancement practices. Regardless of the outcome of that debate, the event highlights growing interest in technologies designed to extend human capabilities and redefine the boundaries of athletic performance.

Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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