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2 hours ago
Meta has revenue sharing agreements with Llama AI model hosts, filing reveals
By: Tech Crunch | March 21, 2025
In a blog post last July, Meta CEO Mark Zuckerberg said that "selling access" to Meta's openly available Llama AI models "isn't [Meta's] business model." Yet Meta does make at least some money from Llama through revenue-sharing agreements, according to a newly unredacted court filing.
The filing, submitted by attorneys for the plaintiffs in the copyright lawsuit Kadrey v. Meta, in which Meta stands accused of training its Llama models on hundreds of terabytes of pirated ebooks, reveals that Meta "shares a percentage of the revenue" that companies hosting its Llama models generate from users of those models.
The filing doesn't indicate which specific hosts pay Meta. But Meta lists a number of Llama host partners in various blog posts, including AWS, Nvidia, Databricks, Groq, Dell, Azure, Google Cloud, and Snowflake.
Developers aren't required to use a Llama model through a host partner. The models can be downloaded, fine-tuned, and run on a range of different hardware. But many hosts provide additional services and tooling that makes getting Llama models up and running simpler and easier.
Zuckerberg mentioned the possibility of licensing access to Llama models during an earnings call last April, when he also floated monetizing Llama in other ways, like through business messaging services and ads in "AI interactions." But he didn't outline specifics.
"[I]f you're someone like Microsoft or Amazon or Google and you're going to basically be reselling these services, that's something that we think we should get some portion of the revenue for," Zuckerberg said. "So those are the deals that we intend to be making, and we've started doing that a little bit."
More recently, Zuckerberg asserted that most of the value Meta derives from Llama comes in the form of improvements to the models from the AI research community. Meta uses Llama models to power a number of products across its platforms and properties, including Meta's AI assistant, Meta AI.
"I think it's good business for us to do this in an open way," Zuckerberg said during Meta's Q3 2024 earnings call. "[I]t makes our products better rather than if we were just on an island building a model that no one was kind of standardizing around in the industry."
The fact that Meta may generate revenue in a rather direct way from Llama is significant because plaintiffs in Kadrey v. Meta claim that Meta not only used pirated works to develop Llama, but facilitated infringement by "seeding," or uploading, these works. Plaintiffs allege that Meta used surreptitious torrenting methods to obtain ebooks for training, and in the process โ due to the way torrenting works โ shared the ebooks with other torrenters.
Meta plans to significantly up its capital expenditures this year, largely thanks to its increasing investments in AI. In January, the company said it would spend $60 billion-$80 billion on CapEx in 2025 โ roughly double Meta's CapEx in 2024 โ primarily on data centers and growing the companyโs AI development teams.
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10 hours ago
Will QQQ Retest All-Time Highs By End of April?
By: David Keller | March 20, 2025
After reaching an all-time around $540 in mid-February, the Nasdaq 100 ETF (QQQ) dropped almost 14% to make a new swing low around $467. With the S&P 500 and Nasdaq bouncing nicely this week, investors are struggling to differentiate between a bearish dead-cat bounce and a bullish full recovery.
There was no question that valuations had become incredibly rich going into the end of 2024, so some sort of corrective move was widely anticipated in Q1 2025. But was the February to March drawdown enough to appease the valuation trolls and empower investors to buy weakness to drive prices to further all-time highs? Today, we'll lay out four potential outcomes for the Nasdaq 100 ETF (QQQ).
As I share each of these four future paths, I'll describe the market conditions that would likely be involved, and I'll also share my estimated probability for each scenario. The goal of this example of "probabilistic analysis" is to expand our thinking of what's possible, to break down our preconceived market biases, and to open our minds to alternative points of view.
Before we do so, though, I'd love to revisit the last time we conducted this exercise on the Nasdaq 100 back in December 2024.
Going into early January, it appeared that Scenario 4, the Super Bearish scenario, was matching very closely with market action. But a very choppy month of January kept prices fairly stable, and by the end of January the Nasdaq 100 was very close to the end of our Scenario 3.
Back to the current market environment, we're thinking a Very Bullish Scenario would mean the QQQ continues the current uptrend, which eventually becomes a full recovery to retest the February 2025 high. On the other hand, if this week is really more of a dead cat bounce, then the Super Bearish Scenario could take us all the way down to retest the August 2024 lows...
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3 weeks ago
Meta plans to release standalone Meta AI app, CNBC reports
By: Investing.com | February 27, 2025
Meta Platforms (NASDAQ:META) plans to debut a standalone Meta AI app to join Facebook and Instagram during the second quarter, CNBC reported on Thursday, citing people familiar with the matter.
The move marks a major step in Meta CEO Mark Zuckerbergโs plans to make Meta the leader in AI by the end of the year, ahead of competitors like OpenAI and Alphabet (NASDAQ:GOOGL), CNBC reported.
Meta did not immediately respond to a Reuters request for comment.
Last month, Zuckerberg said that the company plans to spend as much as $65 billion this year to expand its AI infrastructure.
(This story has been refiled to say โCNBC,โ not โCNCB,โ in paragraph 2)
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1 month ago
META (Meta Platforms) Weekly Analysis
By: TrendSpider | February 14, 2025
โข Communication Services (XLC) is the top-performing sector this year, fueled by METAโs 23% YTD surge. Unexpected strength from telecom giants T and TMUS has added to the rally, while EA and WBD have been notable drags. The Financial and Material sectors are close seconds and thirds, while the Consumer Discretionary (XLY) sector is the yearโs biggest laggard, head up by names like AMZN and TSLA.
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