August 28, 2026

 Nvidia’s $12.9 Billion Hugging Face Deal: Securing the Open-Source AI Ecosystem



Nvidia has reportedly agreed to acquire Hugging Face for approximately $12.9 billion, although conflicting reports suggest negotiations may not yet have resulted in a signed agreement. Hugging Face, founded in 2016, has become one of the leading hubs for developers to share, download, and deploy open-source AI models. The proposed valuation represents a dramatic increase from its $4.5 billion valuation in 2023 and the $7 billion valuation attached to a $500 million Nvidia investment offer that Hugging Face rejected late last year. Hugging Face is reportedly generating about $150 million in annual revenue, up from roughly $100 million two months earlier, and has said it is approaching profitability, making a nearly $13 billion acquisition price a very substantial revenue multiple.

Strategically, the acquisition would strengthen Nvidia’s position in open-source AI at a time when major closed-model developers, including OpenAI, Google, Amazon, and Anthropic, are developing their own AI chips to reduce dependence on Nvidia. A stronger open-model ecosystem gives customers alternatives to proprietary AI platforms while potentially preserving their reliance on Nvidia hardware. Hugging Face CEO Clem Delangue has also publicly aligned with Nvidia’s support for open models, including joining Nvidia CEO Jensen Huang and other companies in urging the U.S. government not to restrict open-weight AI. The acquisition would therefore reinforce Nvidia’s existing investments in open-source AI while giving it control of a major distribution and development platform serving the open-model community.

The deal could also expand Nvidia’s position in cloud computing and AI infrastructure economics. After reportedly scaling back DGX Cloud, Nvidia could use Hugging Face’s existing model-hosting and rented-compute services as a route back into cloud services without rebuilding the business from scratch. This could also help Nvidia manage its exposure to tens of billions of dollars of cloud-computing commitments it has agreed to support for customers: unused capacity could potentially be resold through Hugging Face’s customer base. For Hugging Face, Nvidia would provide substantially greater financial resources as AI infrastructure platforms consolidate, illustrated by Stripe’s reported acquisition of OpenRouter for more than $7 billion after the startup had been valued at only $1.3 billion in May.
Source: The Information


Meta Agrees to $18 Billion Children’s Safety Settlement

Meta has agreed to pay up to $18 billion to settle claims brought by 29 U.S. states alleging that Facebook and Instagram were knowingly designed in ways that could addict children and harm young users. The states also accused Meta of collecting children’s data without parental knowledge in violation of COPPA. Meta does not admit wrongdoing under the settlement, but the agreement avoids moving forward with a jury trial.

Pending judicial approval, Meta will implement a package of teen protections for 10 years, developed with 52 state attorneys general. These include a default two-hour combined daily limit across Facebook and Instagram, usage alerts and prompts, “Night Mode” blocking access between midnight and 6 AM, muted notifications during school hours, hidden like and reaction counts, restrictions on extreme makeup filters, and increased investment in age-assurance technology. Meta will also strengthen protections preventing adults from finding and interacting with teens, expand parental controls, and improve responses to harmful-content reports. Direct messages will remain outside the time limits and notification restrictions so teens can stay connected with friends and family.

The settlement will be distributed to states over 10 years, but 30%, about $5.3 billion, will only be paid if YouTube and TikTok adopt a one-hour daily time limit, Night Mode, and age-assurance measures and agree to match that 30% amount. Meta is using the agreement to push for an industry-wide framework, arguing that teens move across many different apps. The company expects to record a $10 billion legal expense in the third quarter, reducing reported profit and increasing expenses, although Meta’s stock rose following news of the settlement.
Source: Meta

Nevada Emerges as the Next Major Robotaxi Battleground

Nevada is set to become a major U.S. robotaxi market after the Nevada Transportation Authority unanimously approved permits allowing Tesla, Uber, and Waymo to operate commercial autonomous-vehicle services in Clark County, including Las Vegas. The permits could support up to 8,000 robotaxis over the next 12 months: Tesla received authorization for up to 5,000 vehicles, Waymo for 1,000, and Uber for 1,000 through partnerships with Motional and Zoox, while Zoox already has a separate permit for 100 vehicles. However, the authorized numbers represent ceilings rather than expected deployments. Tesla Cybercab chief engineer Eric Early said the company would be “extremely happy and satisfied” to reach roughly 2,500 vehicles over the next year.

Even at substantially lower deployment levels, Las Vegas is emerging as a significant competitive battleground for autonomous mobility, with Tesla, Waymo, and Uber’s partners targeting the same riders. Large-scale adoption could also reshape the local workforce: robotaxi operators could create jobs related to vehicle maintenance, charging, and cleaning while potentially displacing human taxi and gig drivers. The Livery Operators Association and local taxi companies opposed the permits, warning that rapid deployment could oversaturate Nevada’s commercial transportation market and worsen road congestion, particularly in the “Golden Triangle” between the airport and Las Vegas Boulevard, where much autonomous-vehicle testing has already taken place.

Uber is positioning itself differently from Tesla and Waymo by advocating for a hybrid transportation model combining human drivers and autonomous vehicles. The company argues that this approach would allow cities to introduce robotaxis gradually and use them to supplement capacity during periods of peak demand rather than adding large autonomous fleets immediately. Uber has also lobbied for robotaxis to operate through ride-hailing networks that continue to include human drivers, putting it at odds with Waymo while simultaneously providing Uber with a hedge if its autonomous-vehicle partnerships fail to match the capabilities or scale achieved by Tesla or Waymo.
Source: TechCrunch