Stanford researchers found that Meta's newest AI model can reproduce 42% of Harry Potter word-for-word—ten times more than earlier versions. The findings complicate copyright lawsuits and reveal a troubling trend in AI development.
Anthropic says multiple AI agents working together beat single models by 90%. The catch? They use 15x more computing power. This trade-off between performance and cost might reshape how we build AI systems for complex tasks.
AI models typically learn by memorizing patterns, then researchers bolt on reasoning as an afterthought. A new method called Reinforcement Pre-Training flips this approach—teaching models to think during basic training instead.
From Twitter to X: The Billion-Dollar Comeback Story
After a year of chaos that had critics writing obituaries for the $44 billion social media platform, Musk's alphabet-inspired rebrand is suddenly looking less like a costly mistake and more like a masterclass in playing the long game.
In a surprising development that has Wall Street buzzing, X (formerly Twitter) is reportedly seeking new investment at a $44 billion valuation – the exact same price tag Elon Musk paid when acquiring the platform in 2022. This potential funding round marks the first major investment opportunity since Musk's controversial takeover.
The platform's journey has been anything but smooth. Following Musk's acquisition, X weathered a storm of departing advertisers, user exodus, and widespread skepticism about its rebrand. Despite these challenges, recent indicators suggest a possible turnaround. Morgan Stanley is finalizing the sale of $3 billion in X debt at face value, signaling renewed investor confidence.
Musk's broader business empire appears to be thriving in the current climate. Tesla shares have surged over 40% since Trump's election, while SpaceX has claimed the title of world's largest tech startup with a $350 billion valuation. His AI venture, xAI, is simultaneously pursuing its own funding round at a potential $75 billion valuation.
The timing of this investment round coincides with a notable shift in market perception. Just months ago, Fidelity Investments had marked down its Twitter stake by roughly 70%. Now, investors seem increasingly willing to bet on X's future, particularly given Musk's heightened political profile and its potential implications for his business interests.
This potential investment round remains in flux, with sources indicating that terms could change or talks could be abandoned entirely. However, the mere fact that investors are considering matching the original purchase price represents a remarkable shift in sentiment about X's prospects and Musk's vision for the platform.
Why this matters:
The potential investment at the original purchase price suggests that Musk's controversial changes to the platform might be paying off financially, even if they initially alienated users and advertisers
This development challenges the widespread narrative that Musk overpaid for Twitter, indicating that the market may be reassessing the value of social media platforms in our current political and technological landscape
The alignment of X's valuation talks with Musk's other business successes points to a broader pattern: controversial leadership doesn't necessarily preclude financial success in today's market
Stanford researchers found that Meta's newest AI model can reproduce 42% of Harry Potter word-for-word—ten times more than earlier versions. The findings complicate copyright lawsuits and reveal a troubling trend in AI development.
Meta users think they're chatting privately with AI. Instead, they're broadcasting medical questions, legal troubles, and relationship problems to the world through a public feed that many don't realize exists.
Disney and Universal sued AI company Midjourney for using their characters without permission to train image generators. It's the first major Hollywood lawsuit against generative AI, testing whether copyright law protects creators in the age of artificial intelligence.
OpenAI cut its o3 model prices 80% while launching o3-pro—a reasoning AI that takes over 3 minutes to respond but outperforms rivals on complex tasks. The move intensifies AI pricing wars and splits the market between fast chat models and slow thinking ones.