Tech titans Elon Musk and Sam Altman bickered over their relative trustworthiness on Tuesday, with each of their artificial intelligence platforms contributing to the feud.
The big picture: The two tech giants' acrimonious relationship has become increasingly public since Musk sued Altman for breaching OpenAI's founding mission last year.
President Trump prides himself on being a dealmaker, but some eye-popping dealmaking of late comes thanks to his predecessor's administration.
Why it matters: The Biden administration's antitrust crackdown, at the time sharply criticized by many in Silicon Valley, has now spawned a few interesting deal scenarios in tech.
If you're a knowledge worker on the job hunt, you might want to upgrade your interview wardrobe to include pants.
Why it matters: Companies are bringing back in-person interviews after years of virtual hiring since the pandemic. That's because artificial intelligence — which is upending the labor market — also makes it easier for candidates to cheat.
With the exception of Comcast's Peacock, most major streamers in the U.S. have started to turn a steady profit, which means the streaming wars have officially entered a new era of maturity.
Why it matters: To expand margins and compete with Netflix, traditional media companies are looking to streamline their services and bundle them.
Underestimate how quickly adversarial hackers are advancing in generative AI, and your company could be patient zero in an outbreak of AI-enabled cyberattacks.
Overestimate that risk, and you could quickly blow millions of dollars only to realize you were preparing for the wrong thing.
Federal law enforcement took down servers and web domains and seized roughly $1 million worth of cryptocurrency tied to the BlackSuit ransomware gang, authorities announced Monday.
Why it matters: BlackSuit had quite the rap sheet, hitting more than 100 companies in the last year across industries including manufacturing, education, research, health care and construction.
A new report zooms in on the gigantic amounts of energy needed specifically for training large AI models, as opposed to just aggregate estimates of training and use (or inference).
Why it matters: The report yields a clearer picture of localized energy needs when hyperscalers build data center clusters that train exceptionally big "frontier" AI models.
Computer-driven traders are jazzed about this bull market, and if you ask ChatGPT, it will quickly tell you to invest in the S&P 500. Machines and AI driven by patterns and data seem to lack what makes human investors more cautious: fear.
Why it matters: Artificial intelligence is to retail traders what computer-guided, algorithmic trades are to financial firms. Both technologies are proving to be more optimistic investors than their real-life counterparts. The consequences of that bullishness could be severe for retail traders.
