This week’s AI: Musk bids for Openai

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The billionaires are fighting again.

On Monday, Elon Musk, the wealthiest man in the world I offered to buy a nonprofit organization This effectively manages Openai at $97.4 billion. In response to the mask offer, Openai CEO Sam Altman wrote author early on Monday x’s cheeky post“Thank you, but I’ll buy Twitter for $9.74 billion if necessary.” (Masks and investors are well known. I bought Twitter for $44 billion 2022. )

A mask bid, serious or not, may complicate Openrai’s efforts to convert to a for-profit public benefits corporation within two years. Currently, Openai’s board of directors should demonstrate that they are not selling Openai’s nonprofit organizations by discounting nonprofit assets, including IP from Openai research, to insiders (such as Altman). .

Openai can argue that Musk’s bid is an adversarial attempt at a takeover, given Musk and Altman Not the best friends. You can also argue that Musk’s offer is unreliable as Openai is already in the middle of the restructuring process. Or you can openai Challenge Musk on whether he has funds.

in Tuesday’s statementAndy Nussbaum, an outside lawyer representing Openai’s board of directors, said Musk’s bid “does not set the value of (Openai’s) nonprofits “for sale.” Nussbaum added, “In honor, it is not up to the competitors to determine the best interests of Openai’s mission.”

My colleague Maxwell Zeff and i I wrote a more detailed work About what to expect in the next few weeks. But the mask offer is guaranteed – not to mention his offer He alleges that the ongoing lawsuit against Open Ally is fraudulent – Promises a fierce court brawl.

news

Apple’s new robot: Apple has created a research robot that captures pages from Pixar’s Playbook. The company’s robotic lamps act as a more kinetic version of the home pod or other smart speakers. Those facing the ramp ask for a query, and the robot responds with Siri’s voice.

Is AI making fun of us? : Researchers recently published a study on how using generated AI in the workplace affects critical thinking skills. We’ve found that relying too much on AI and thinking for us that solving problems when AI fails can get worse.

ai, perhaps: In his new essay on his personal blog, Altman acknowledges that AI benefits may not be widely distributed, and Openai said that the idea of ​​”Strange-Sounding” was “a lot of everyone on earth It said it is open to ideas that sound strangely louder, like “calculating budgets” that can be used to enable the use of. ai. ”

Christie’s Controversy: Fine Art Auction House Christie’s sells art that was previously generated by AI. But soon, they will hold a petition asking for the first show dedicated solely to AI-created works, a mixed review-filled announcement, and a cancellation of the auction.

Better than gold: The AI ​​system developed by Google Deepmind, the leading AI research lab at Google, appears to outperform the average gold medalist when solving geometric problems in international mathematical competition.

This week’s research paper

I know that most AI models cannot reliably perform basic tasks, such as solving grade level math problems. What we don’t always know is reason Behind their failures. According to a team of researchers at MIT Csail, false benchmarks could be held liable in part.

In a new study, researchers at MIT CSAil have found that while today’s top performance models still make real mistakes in AI benchmarks, more than 50% of “model errors” actually have misunderstandings about these benchmarks. We found that it was caused by ambiguous questions.

“If you want to properly quantify the reliability of your model, you need to rethink how you can build benchmarks to minimize label errors,” he said. One of the researchers, MIT faculty and Openai staff, Aleksander Madry; In a post of x. “This is just the first step.”

This week’s model

You’ve heard of deepfakes before. But what about deep fakes from boring everyday scenes? That’s the idea behind it Boring reality unyuan lora (boreal-hl),…well, a fine-tuned AI video generator that’s great for creating videos of something quite mediocre.

Boreal-HL can generate clips of tourists eating ice cream, people barbecue meat, people at luncheon parties, speeches at meetings, wedding couples and other tourists eating slices of ordinary life . This reporter finds the absurdity of hilarious things – especially considering how unrealistic it is. It takes at least 5 minutes to generate a single clip.

Glove bag

Thanks to recent breakthroughs in AI efficiency, it’s cheaper and easier to train highly refined models.

With a new paperresearchers at Shanghai Jiao Tong University and an AI company called SII, show that models trained with just 817 “curated training samples” can outperform models trained with 100 times more data. The team claims that their models were even able to show what they called “out-of-domain” features to certain questions they had never seen during the training process.

This study continues with a heel Stanford-led project This proved possible to create “open” models that rival Openai’s O1 “inference” models for under $50.