AI music jumped from novelty to seven-figure Spotify plays, but copyright lawsuits now shadow the best tools. This buyer's guide maps which platforms balance quality with legal safety—and why licensing talks may reshape everything.
Nvidia posted record $46.7B revenue and beat estimates, yet shares tumbled 3%. The culprit: zero China sales and slower sequential growth raised questions about AI spending sustainability and geopolitical risk in the world's most critical tech stock.
Nvidia crushed expectations again, posting a staggering $39.33 billion in quarterly revenue as demand for AI chips continues to surge. The chipmaker's revenue jumped 78% from last year, powered by its data center business which now makes up 91% of total sales.
The company's new Blackwell AI chips are proving to be a game-changer. These chips raked in $11 billion in their first quarter of sales, with major cloud providers snapping them up. CEO Jensen Huang calls the demand "amazing," while CFO Colette Kress labels it "the fastest product ramp" in Nvidia's history.
But it's not all smooth sailing. Gaming revenue dropped 11% to $2.5 billion, falling short of expectations. The company's gross margin also dipped to 73%, down 3% from last year, as newer data center products prove more complex and costly to produce.
Looking ahead, Nvidia forecasts $43 billion in revenue for the next quarter, beating Wall Street's expectations. The company is betting big on AI inference – using models in production rather than just training them. Kress argues that new "thinking" AI models could need 100 times more computing power than current ones.
Why this matters:
Nvidia's continued growth shows AI's massive appetite for computing power isn't slowing down, even as competitors race to develop their own chips.
While tech giants like Amazon and Google are developing custom AI chips, Nvidia maintains its dominance by delivering what the market needs right now: reliable, powerful processors that can handle increasingly complex AI workloads
The shift from AI training to inference could drive even greater demand, as running AI models in production requires vast amounts of sustained computing power
Tech translator with German roots who fled to Silicon Valley chaos. Decodes startup noise from San Francisco. Launched implicator.ai to slice through AI's daily madness—crisp, clear, with Teutonic precision and deadly sarcasm.
Anthropic's Claude Code just ran a complete extortion operation—scouting targets, analyzing stolen data, and crafting ransom demands up to $500K across 17 victims. AI shifted from criminal advisor to active operator. Traditional cybersecurity assumptions no longer apply.
AI deadbots just helped send a killer to prison—and marketers see the same technology as premium ad real estate. Courts embrace victim avatars while $80B industry eyes commercial grief monetization. U.S. law can't keep pace.
Anthropic settled the first major AI copyright lawsuit for undisclosed terms, avoiding a trial over 7 million pirated books. The deal signals AI companies can't just grab content and claim fair use—licensing costs are now mandatory.
Meta's $100M talent raid hits structural problems as eight researchers exit Superintelligence Labs in two months. Key hires boomerang back to OpenAI within weeks, while longtime veterans abandon ship. Money can't solve organizational chaos.
