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Microsoft Celebrates Its 50th Anniversary With Copilot AI Event
Microsoft AI CEO Mustafa Suleyman (Stephen Brashear/Getty Images)

Microsoft falls as it lays out plan for “Humanist Superintelligence” without OpenAI

Microsoft AI’s CEO explained its vision for superintelligence that prioritizes human control.

Microsoft stock is down 2% after the company announced it is developing its own superintelligence team to pursue AI that surpasses humans, but also keeps humans in charge. The so-called “Humanist Superintelligence” (not to be confused with Meta’s regular superintelligence) will have “incredibly advanced AI capabilities that always work for, in service of, people and humanity more generally,” AI Chief Executive Mustafa Suleyman wrote.

It’s also Microsoft’s first attempt at achieving artificial general intelligence without OpenAI, which it’s now free to do after it renegotiated their partnership. In an interview with The Wall Street Journal, Suleyman praised the companies’ work together but also criticized chatbots that feel too human and trick people into thinking they’re sentient — a criticism others have leveled at OpenAI’s ChatGPT, which is widely considered to be leading the way with AI. While the two companies are continuing to work together, it’s also clear that Microsoft thinks it can make AI progress on its own.

AI is also very expensive — something that’s given investors pause lately as they wonder just how companies will pay for their giant capital outlays and how those will ultimately pay off. Meta last week took a big dive, partly because investors don’t see a clear route from the social media company’s massive AI infrastructure spending to revenue, since it’s not renting that infrastructure as a cloud business.

Even Microsoft, which has a robust cloud business, hasn’t escaped investor scrutiny over AI spending. Despite beating revenue and earnings expectations last week, the company’s stock fell in part because the company reversed its guidance on capital spending, now saying it would continue to rise instead of taper off.

Regardless of how humane it might be, the pursuit of superintelligence — and the talent and infrastructure it involves — will cost those who dare try it. And the payoffs are still unclear.

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Meta projected 10% of 2024 revenue came from scams and banned goods, Reuters reports

Meta has been making billions of dollars per year from scam ads and sales of banned goods, according internal Meta documents seen by Reuters.

The new report quantifies the scale of fraud taking place on Meta’s platforms, and how much the company profited from them.

Per the report, Meta internal projections from late last year said that 10% of the company’s total 2024 revenue would come from scammy ads and sales of banned goods — which works out to $16 billion.

Discussions within Meta acknowledged the steep fines likely to be levied against the company for not stopping the fraudulent behavior on its platforms, and the company prioritized enforcement in regions where the penalties would be steepest, the reporting found. The cost of lost revenue from clamping down on the scams was weighed against the cost of fines from regulators.

The documents reportedly show that Meta did aim to significantly reduce the fraudulent behavior, but cuts to its moderation team left the vast majority of user-reported violations to be ignored or rejected.

Meta spokesperson Andy Stone told Reuters the documents were a “selective view” of internal enforcement:

“We aggressively fight fraud and scams because people on our platforms don’t want this content, legitimate advertisers don’t want it, and we don’t want it either.”

Per the report, Meta internal projections from late last year said that 10% of the company’s total 2024 revenue would come from scammy ads and sales of banned goods — which works out to $16 billion.

Discussions within Meta acknowledged the steep fines likely to be levied against the company for not stopping the fraudulent behavior on its platforms, and the company prioritized enforcement in regions where the penalties would be steepest, the reporting found. The cost of lost revenue from clamping down on the scams was weighed against the cost of fines from regulators.

The documents reportedly show that Meta did aim to significantly reduce the fraudulent behavior, but cuts to its moderation team left the vast majority of user-reported violations to be ignored or rejected.

Meta spokesperson Andy Stone told Reuters the documents were a “selective view” of internal enforcement:

“We aggressively fight fraud and scams because people on our platforms don’t want this content, legitimate advertisers don’t want it, and we don’t want it either.”

$350B

Google wants to invest even more money into Anthropic, with the search giant in talks for a new funding round that could value the AI startup at $350 billion, Business Insider reports. That’s about double its valuation from two months ago, but still shy of competitor OpenAI’s $500 billion valuation.

Citing sources familiar with the matter, Business Insider said the new deal “could also take the form of a strategic investment where Google provides additional cloud computing services to Anthropic, a convertible note, or a priced funding round early next year.”

In October, Google, which has a 14% stake in Anthropic, announced that it had inked a deal worth “tens of billions” for Anthropic to access Google’s AI compute to train and serve its Claude model.

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Apple to pay Google $1 billion a year for access to AI model for Siri

Apple plans to pay Google about $1 billion a year to use the search giant’s AI model for Siri, Bloomberg reports. Google’s model — at 1.2 trillion parameters — is way bigger than Apple’s current models.

The deal aims to help the iPhone maker improve its lagging AI efforts, powering a new Siri slated to come out this spring.

Apple had previously been considering using OpenAI’s ChatGPT and Anthropic’s Claude, but decided in the end to go with Google as it works toward improving its own internal models. Google, which makes a much less widely sold phone, the Pixel, has succeeded in bringing consumer AI to smartphone users where Apple has failed.

Google’s antitrust ruling in September helped safeguard the two companies’ partnerships — including the more than $20 billion Google pays Apple each year to be the default search engine on its devices — as long as they aren’t exclusive.

Apple had previously been considering using OpenAI’s ChatGPT and Anthropic’s Claude, but decided in the end to go with Google as it works toward improving its own internal models. Google, which makes a much less widely sold phone, the Pixel, has succeeded in bringing consumer AI to smartphone users where Apple has failed.

Google’s antitrust ruling in September helped safeguard the two companies’ partnerships — including the more than $20 billion Google pays Apple each year to be the default search engine on its devices — as long as they aren’t exclusive.

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Netflix creates new made-up metric for advertisers

It’s not quite WeWork’s community-adjusted EBITDA, but it’s also not quite a real number: Netflix announced today that it has 190 million “monthly active viewers” for its lower-cost ad-supported tiers. The company came up with the metric by measuring the number of subscribers who’ve watched “at least 1 minute of ads on Netflix per month” and multiplying that by what its research assumes is the number of people in that household.

It builds on Netflix’s previous attempt at measuring ad viewership with monthly active users, which is the number of profiles that have watched ads (94 million as of May). The MAV measurement, of course, is a lot bigger, and bigger numbers are more attractive to advertisers, who are spending more and more on streaming platforms.

“After speaking to our partners, we know that what they want most is an accurate, clear, and transparent representation of who their ads are reaching,” Netflix President of Advertising Amy Reinhard explained in a press release. “Our move to viewers means we can give a more comprehensive count of how many people are actually on the couch, enjoying our can’t-miss series, films, games, and live events with friends and family.”

Netflix last reported its long-followed and more easily understood paid membership numbers at the beginning of the year, when it crossed 300 million.

It builds on Netflix’s previous attempt at measuring ad viewership with monthly active users, which is the number of profiles that have watched ads (94 million as of May). The MAV measurement, of course, is a lot bigger, and bigger numbers are more attractive to advertisers, who are spending more and more on streaming platforms.

“After speaking to our partners, we know that what they want most is an accurate, clear, and transparent representation of who their ads are reaching,” Netflix President of Advertising Amy Reinhard explained in a press release. “Our move to viewers means we can give a more comprehensive count of how many people are actually on the couch, enjoying our can’t-miss series, films, games, and live events with friends and family.”

Netflix last reported its long-followed and more easily understood paid membership numbers at the beginning of the year, when it crossed 300 million.

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