Meta’s Llama AI Models Generate Revenue through Revenue-Sharing Agreements

Meta’s Business Model Contradicts Public Statements

A recent court filing has revealed that Meta, through its Llama AI models, generates revenue through revenue-sharing agreements with companies hosting its models. This contradicts Mark Zuckerberg’s statement in July that "selling access" to Llama AI models "isn’t [Meta’s] business model."

Revenue-Sharing Agreements

According to the court filing, Meta shares a percentage of the revenue generated by companies hosting its Llama models. The filing does not specify which companies pay Meta, but Meta has listed several host partners, including AWS, Nvidia, Databricks, Groq, Dell, Azure, Google Cloud, and Snowflake.

Licensing and Hosting

Developers can download, fine-tune, and run Llama models on their own hardware, but many hosts provide additional services and tooling to simplify the process. Meta’s Llama models can be used for a range of applications, including natural language processing, computer vision, and more.

Zuckerberg’s Comments on Monetization

During an earnings call in April, Zuckerberg mentioned the possibility of licensing access to Llama models and monetizing them through business messaging services and ads in "AI interactions." He also stated that Meta intends to make deals with large hosts, such as Microsoft, Amazon, and Google, to share revenue.

Value Generation

Zuckerberg has emphasized that most of the value Meta derives from Llama comes from improvements to the models from the AI research community. Meta uses Llama models to power its products across its platforms, including its AI assistant, Meta AI.

Court Case and Controversy

The revelation of revenue-sharing agreements comes as Meta is facing a copyright lawsuit, Kadrey v. Meta, which alleges that the company trained its Llama models on hundreds of terabytes of pirated e-books and facilitated infringement by seeding and sharing these works.

Future Plans and Investments

Meta plans to invest heavily in AI, with a projected $60 billion-$80 billion in capital expenditures in 2025, primarily on data centers and growing its AI development teams. The company is also considering launching a subscription service for Meta AI, which will add unspecified capabilities to the assistant.

Conclusion

The revelation of revenue-sharing agreements between Meta and its host partners contradicts the company’s public statements on its business model. As Meta continues to invest heavily in AI, it will be important to monitor the company’s financial dealings and the implications for its users and the broader tech industry.

FAQs

Q: What is Llama AI?
A: Llama is a language model developed by Meta that can be used for a range of applications, including natural language processing and computer vision.

Q: How does Meta generate revenue from Llama AI?
A: Meta generates revenue from Llama AI through revenue-sharing agreements with companies hosting its models.

Q: What companies are hosting Llama AI models?
A: Meta has listed several host partners, including AWS, Nvidia, Databricks, Groq, Dell, Azure, Google Cloud, and Snowflake.

Q: How will Meta use the revenue generated from Llama AI?
A: Meta plans to use the revenue generated from Llama AI to fuel its investments in AI, including data centers and growing its AI development teams.

FCC Chair Warns of Regulatory Action Against Companies with DEI Discrimination

FCC Takes a Stance on Invidious Forms of DEI Discrimination

Federal Communications Commission (FCC) chair Brendan Carr has made it clear that companies seeking regulatory approval must "get busy ending any sort of their invidious forms of DEI discrimination." In an interview with Bloomberg, Carr highlighted several potential deals that could be affected by this stance, including Paramount’s merger with Skydance, Verizon’s purchase of Frontier Communications, and T-Mobile’s plans to acquire most of US Cellular.

Regulatory Approval Hinges on Public Interest

Carr emphasized that the FCC can only move forward with approving a transaction if it finds that doing so serves the public interest. "If there’s businesses out there that are still promoting invidious forms of DEI discrimination, I really don’t see a path forward where the FCC could reach the conclusion that approving the transaction is going to be in the public interest," he said.

FCC to Investigate Chinese Companies

In addition to taking action against companies with DEI policies, Carr announced a "sweeping investigation" into the US operations of China-based companies previously placed on the FCC’s "Covered List," including Huawei, ZTE, and China Telecom. The FCC will examine each company’s "current levels of operations" in the US, as Carr believes that some or all of these companies may be attempting to circumvent FCC prohibitions by continuing to do business in America on a private or "unregulated" basis.

Conclusion

The FCC’s stance on DEI discrimination and its investigation into Chinese companies highlight the agency’s commitment to ensuring that businesses operate in a way that is in the public interest. As the FCC continues to monitor and regulate the telecommunications industry, companies can expect increased scrutiny of their policies and practices.

Frequently Asked Questions

Q: What is DEI discrimination?
A: DEI stands for diversity, equity, and inclusion. Invidious forms of DEI discrimination refer to practices that discriminate against certain groups or individuals based on their race, gender, sexual orientation, or other characteristics.

Q: What companies are affected by the FCC’s stance on DEI discrimination?
A: Companies seeking regulatory approval, such as Paramount, Verizon, and T-Mobile, may be affected by the FCC’s stance on DEI discrimination.

Q: What is the purpose of the FCC’s investigation into Chinese companies?
A: The FCC is investigating Chinese companies to determine if they are complying with FCC regulations and to ensure that they are not attempting to circumvent these regulations by operating in the US on a private or "unregulated" basis.

Are you looking to save money, energy, and earn rewards automatically?

Who isn’t! With Samsung’s Demand Response (DR) Program, Flex Connect – available directly within the SmartThings app – eligible users can automatically reduce energy consumption by switching devices to power-saving mode during peak grid demand.

What is Flex Connect?

Flex Connect allows Samsung appliances, TVs, and other connected devices to adjust their
energy usage during peak demand peak demand times, using a feature called DR Energy Mode,
built into the app to give users the ability to reduce energy use when the grid is under strain,
helping to balance the grid while reducing costs at home.

Samsung’s Flex Connect program became available to eligible users in California and New York in June of 2024, to eligible users in Texas in December of 2024 and is now available to users across the Mid-Atlantic and greater Chicago.

Signing up for Flex Connect means when an energy event occurs, SmartThings automatically
optimizes energy consumption across opted-in devices for users who have enabled DR Energy
Mode in the app. This activation not only helps users save energy during crucial times, it also
triggers a $50 Flex Connect reward – directly into the user’s Samsung account!

Flex Connect works with a variety of energy-saving devices, from thermostats to Samsung
washers, dryers, and more – intelligently adjusting the device’s settings based on the weather
and grid, ensuring efficient energy use while keeping your home comfortable. It’s energy saved
– automatically!

Together, Flex Connect users contribute meaningful energy reductions that help balance the
grid during peak demand, reducing the risk of blackouts and lowering overall grid emissions. It’s
good for the grid, good for sustainability, and good for your wallet!

Check out the Works With SmartThings page for a full list of eligible devices.

How do I get the $50 in Samsung Rewards Points?

The reward is distributed after you are approved in the Flex Connect program and after one or
more of your connected devices participate in an energy event. Then, you’ll receive a notification in the SmartThings app letting you know your $50 in Samsung Rewards Points is available. Simply tap ‘Claim’ in the app, and the Samsung Rewards Points will be added to your Samsung.com account.

You have 30 days to claim your points once the notification appears, but after claiming the
points, they won’t expire. The frequency and timing of energy events vary based on location
and season, so keep an eye on your SmartThings app for updates.

Earning Even More: About SmartThings Energy Stamps

A $50 Flex Connect reward is just the start of what you can earn! (Not to mention the energy
you’re saving automatically, often leading to a reduction in monthly energy bills.)

By using additional SmartThings Energy features, you can maximize energy savings and earn
even more rewards. Features such as AI Energy Mode, Optimal Charging, and Optimal
Scheduling are available to all users—and when activated, trigger the accrual of Energy Stamps,
which convert to dollars that can be spent on Samsung.com!

Ready to take control of your energy usage? 

It’s quick and easy to connect your devices to the SmartThings app:

1. Open the SmartThings app and tap the ‘Devices’ tab.
2. Tap the ‘Home’ icon and select your device’s location.
3. Tap the ‘Add’ (+) button and choose ‘Add Device.’
4. For Bluetooth devices, tap ‘Scan Nearby’ or manually add your device.
5. Follow the on-screen instructions, and you’re good to go!

Download the SmartThings app in the Google Play or Apple Store to activate SmartThings Energy, and enter your ZIP code in SmartThings Energy to check your eligibility today. To learn more about Flex Connect and how you can save energy for rewards, visit https://partners.smartthings.com/energy-rewards. 

A Little Over a Year Ago, a Man Was Told He Had Only Two Options: Die at Home or in the Hospital

Joseph Coates, then 37 and living in Renton, Wash., was barely conscious. He had been battling a rare blood disorder called POEMS syndrome, which had left him with numb hands and feet, an enlarged heart, and failing kidneys. Every few days, doctors needed to drain liters of fluid from his abdomen. He became too sick to receive a stem cell transplant, one of the only treatments that could have put him into remission.

"I gave up," he said. "I just thought the end was inevitable."

But Coates’s girlfriend, Tara Theobald, wasn’t ready to quit. So she sent an email begging for help to a doctor in Philadelphia named David Fajgenbaum, whom the couple had met a year earlier at a rare disease summit.

Finding Clues in Old Research

Repurposing is fairly common in pharmaceuticals: Minoxidil, developed as a blood pressure medication, has been repurposed to treat hair loss. Viagra, originally marketed to treat a cardiac condition, is now used as an erectile dysfunction drug. Semaglutide, a diabetes drug, has become best known for its ability to help people lose weight.

The first time Dr. Fajgenbaum repurposed a drug, it was in an attempt to save his own life. At 25, while in medical school, he was diagnosed with a rare subtype of a disorder called Castleman disease, which led to an immune system reaction that landed him in the intensive care unit.

There is no one way to treat Castleman disease, and some people don’t respond to any of the available treatments. Dr. Fajgenbaum was among them. Between hospitalizations and rounds of chemo that temporarily helped, Dr. Fajgenbaum spent weeks running tests on his own blood, poring over medical literature, and trying unconventional treatments.

The Power of Artificial Intelligence

Dr. Fajgenbaum’s lab had some early successes, including finding that a novel cancer drug helped another Castleman patient. But the process was laborious, requiring his team to examine "one drug and one disease at a time," he said. Dr. Fajgenbaum decided he needed to speed up the project. In 2022, he established a nonprofit called Every Cure, aimed at using machine learning to compare thousands of drugs and diseases all at once.

Conclusion

The use of artificial intelligence to repurpose existing drugs has the potential to revolutionize the way we approach rare diseases. By analyzing vast amounts of data and identifying patterns, AI models can quickly pinpoint potential treatments that might have otherwise gone unnoticed. This approach has already led to successful treatments for patients with a range of conditions, from Castleman disease to chronic vomiting.

As we move forward, it’s essential to continue developing and refining these AI models, ensuring that they are able to identify the most promising potential treatments for patients in need.

Frequently Asked Questions

Q: How does the AI model work?
A: The AI model uses machine learning algorithms to analyze vast amounts of data, including existing medical literature, to identify potential treatments for rare diseases.

Q: How accurate is the AI model?
A: The AI model is not infallible, and its predictions may not always be 100% accurate. However, it can still provide valuable insights and suggestions for further investigation.

Q: How does the AI model prioritize potential treatments?
A: The AI model prioritizes potential treatments based on their likelihood of success, as well as the strength of the evidence supporting their use.

Q: How does the AI model take into account the complexity of rare diseases?
A: The AI model is designed to account for the complexity of rare diseases, including the many variables that can influence their progression and treatment.