We're covering music getting pricier in Apple’s garden, AI chatbots exacerbating a health crisis, and how a forgotten moment from history was brought alive by Google.

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Apple Music has raised its subscription prices across all tiers, with the individual plan climbing a dollar to $11.99 per month, the student plan increasing to $6.99 per month, and the family plan jumping by $3 to $19.99 per month. The company cited rising licensing costs as the reason for the change, telling MusicBusinessWorldwide that the increases take effect immediately for new subscribers, while existing subscribers will see the higher fees kick in at the start of their next billing cycle. The benefits attached to each plan remain unchanged.

The move fits a broader pattern across the music streaming industry. Spotify has raised prices multiple times in recent years and now starts at $12.99 per month for its individual plan, while Amazon Music reached $11 per month for Prime members and $12 per month for non-Prime subscribers following its own increase last year. Streaming platforms are navigating a difficult landscape shaped not only by higher licensing costs but also by the growing presence of AI-generated music, which has put additional pressure on platforms and artists alike as labels push for industry-wide labeling standards to help listeners distinguish between human and AI-created tracks.

For Apple Music subscribers, the higher costs arrive with no new perks to offset them, making the weeks ahead a reasonable moment to weigh competing services and their current pricing.

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In 1959, Brazilian football legend Pele scored a goal. And in his own words, it was the best goal of his career. The “Black Pearl” pulled off three consecutive sombreros past the defenders, performed a knee flick past the goalkeeper, and then headed the ball into the net. Getting past multiple opponents, without the ball ever touching the ground, and finishing it off with a perfect header. It’s something you rarely ever see, even at the highest levels of professional football. The problem? It was never filmed.

The “Gol da Rua Javari” was only witnessed by the thousands of fans and other players on the pitch, only a handful of whom are still alive. The only archival memory was an old photograph of the header moment. Google’s team conducted interviews with people who saw the event in person, some six decades ago, and pieced together Pele’s steps. Then, using photographs of the stadium, fans, and other players on the ground, a vision was developed of how the events unfolded.

Google’s team recreated the whole scene with real humans in the same stadium where Pele scored the goal. For accuracy, they even created the heavy leather ball from that era, alongside Pele’s dark boots, and even the uniforms. The whole act was mapped, somewhat like motion capture in films, but without any of the specialized dresses and gear involved. It was a lot of work. But the end result is simply stunning. Seeing Pele's legendary goal for the first time in action, the sheer ball skill, and on-field mastery come to life on video is a sight to behold

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A hacker has breached Suno's company database, and the contents of what was pulled out are drawing significant attention. According to 404 Media, files recovered from the breach contain detailed references to the sources Suno used to train its AI music generator, including YouTube Music, Deezer, and Genius. One file labeled "youtube_music" reportedly documents over two million scraped music clips, with another logging 113,879 hours of audio from that same source alone. Additional datasets note 152,162 hours of tagged YouTube Music content, 17,615 hours from Genius, and 12,287 hours from Deezer. The code also suggests Suno used third-party proxies to conduct the scraping, with PodcastIndex deployed to identify hundreds of thousands of podcasts as potential targets.

Suno has acknowledged in court filings that its models were trained on publicly available music files across the open internet, and the company has argued this falls under fair use protections. The Recording Industry Association of America has specifically accused Suno of unlawfully scraping tracks from YouTube, a claim these newly surfaced files appear to lend weight to. Suno confirmed it experienced a security incident in November 2025, describing it as limited and quickly contained, and said the breach primarily involved outdated source code no longer in active use, with no sensitive personal information compromised.

The legal landscape around AI training data remains unsettled, with recent rulings going both ways on fair use claims involving companies like Anthropic and Meta. As pressure mounts from musicians and industry groups who say they never consented to having their work used for AI training, the details surfaced by this breach are likely to add fresh fuel to ongoing litigation and legislative scrutiny of how generative AI platforms source their material.

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Therapists treating eating disorders are facing a new kind of challenge where patients are turning to AI chatbots for diet and exercise advice. Users are uploading photos and asking bots for tips on losing weight or building muscle, often receiving potentially dangerous suggestions like ultralow-calorie meal plans or extreme fitness routines. “It’s getting so bad that some say patients are even challenging them during therapy sessions,” reports The Wall Street Journal.

Dr. Kaitlin Slaven, an expert with the Eating Recovery Center in Baltimore, also raised similar concerns in her chat with WBAL-TV 11 News. "These chatbots are equipped with tools to be able to sort of gather information and learn. And so, as somebody is inputting information about 'I'm trying to lose weight,' and the chatbot is saying, 'Good job, you're losing weight.' And so, they start to adapt to what is happening and they start to almost encourage the behavior," she explained.

Chatbots such as Gemini and ChatGPT are now increasingly directing users to medical helplines when they ask questions related to physical and mental health. It’s a positive move, but the problem persists and only keeps snowballing as more users see AI answers (even on Google Search) ahead of trusted sources.

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