Even for major AI firms, ‘you can’t do it alone.’
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In a note last week, JPMorgan’s Andrew Tyler wrote that macro conditions could turn a widely-expected rate cut into a “sell the news” event.
Between 2000 and 2002, after the dot com bubble popped, the Nasdaq lost nearly 80% of its value, wiping out trillions of dollars in wealth.
Oracle said its remaining performance obligations is now sitting at $455 billion. That’s up 359% from where it stood just a year ago.
Mistral has been hailed by policymakers as key to Europe’s ambitions to compete with dominant US and Asian rivals.
Customer service agents, receptionists, and translators saw sizable drop-offs as more companies tapped agentic AI.
‘They’re trying to lock in certain rules that makes building and selling AI easier, cheaper and faster.’
As AI continues to rake in funds despite questions about long-term profitability, some experts are calling for more diversification.
In May, revenue at Nvidia’s automotive and robotics businesses, which are reported together, posted $567 million in sales.
Part of the investor pullback comes after an MIT report that checked in on the billions that companies have spent on generative AI.
The deal comes as the US government explores a deal to take as much as a 10% ownership stake in the Santa Clara, California, firm.
As Meta’s market cap hovers near the $2 trillion mark, a successful launch of its glasses could put the tech giant over the edge.
As model providers court government agencies, humans may present a major security threat.
In our increasingly artificial digital age, sometimes internet denizens desire an actual human touch. Enter Reddit.
Though AGI could have some enterprise viability, most businesses are better off with small models.
Where recent iterations of ChatGPT allowed users to tinker with various settings, GPT-5 attempted to do the tinkering for the user.