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Paramount Closes $110 Billion Warner Bros. Discovery Deal, Creating Skydance Entertainment Giant

Paramount has completed its $110 billion acquisition of Warner Bros. Discovery, bringing together two of the most powerful names in media under a new combined company, Skydance. The deal, announced Tuesday, creates one of the largest entertainment mergers ever completed and reshapes the competitive landscape across streaming, film, television and cable.

A New Power Center In Global Entertainment

The combined company unites Paramount+ and HBO Max, alongside a broad portfolio of networks that includes CBS, CNN, MTV, TBS, Comedy Central and Food Network. It also gives Skydance control over some of the industry’s most valuable franchises, including The Lord of the Rings, Game of Thrones, the DC Universe and Yellowstone.

For the industry, the scale of the transaction is as significant as the assets themselves. In an era defined by streaming competition and rising content costs, ownership of established intellectual property has become a strategic advantage akin to controlling a premium distribution network in a previous media cycle.

Ellison Expands His Influence

The merger places one of the world’s largest entertainment studios under the control of David Ellison, who only last year completed the combination of Skydance Media and Paramount. With this latest transaction, Ellison is accelerating his rise as one of Hollywood’s most influential executives.

The Ellison family remains Skydance’s largest shareholder, backed by the financial power of Larry Ellison, the Oracle co-founder and David Ellison’s father. That support gives the company considerable flexibility as it integrates two sprawling media businesses and seeks to compete more aggressively across platforms.

Legal Hurdles Cleared Before Closing

The deal’s completion follows settlements with a coalition of U.S. states and a Hollywood writers’ union, removing the principal legal obstacles that had threatened to delay or derail the merger.

Paramount first announced in February that it would pursue Warner Bros. Discovery after a bidding contest with Netflix, which had earlier struck its own agreement to acquire Warner Bros.’ film and television studios and streaming operations, excluding the cable networks. Paramount strengthened its offer by promising shareholders additional cash if the deal failed to close by a set deadline and by agreeing to cover the breakup fee owed to Netflix.

What Skydance Says Comes Next

“Today is a historic day, not just for Skydance but for our entire industry,” Ellison said in a statement. “From the start, our ambition was to bring these two storied studios together and create a stronger competitor, with the talent, resources, and reach to tell great stories in every genre, on every platform, for audiences everywhere. Our focus now turns to the future: building a company that empowers creatives, entertains audiences and rewards shareholders. We couldn’t be more excited to get to work.”

Skydance said the combined company will generate nearly $70 billion in annual revenue. The company’s Class B shares are set to begin trading on the New York Stock Exchange today under the ticker symbol SKYD.

Mistral Unveils Large 4 As Open AI Competition Intensifies Between The U.S. And China

Mistral has introduced a new flagship artificial intelligence model that the French startup says ranks among the most capable open systems in the world, underscoring how sharply the global AI race is now being defined by open-weight models.

A New Flagship For Europe’s Best-Known AI Startup

The company on Tuesday unveiled Mistral Large 4, also known internally as le Chonk, a 1-trillion-parameter model designed to excel in cyber, coding, manufacturing, finance and multimodal applications. The launch reinforces Mistral’s position as Europe’s most prominent challenger to U.S. leaders such as OpenAI and Anthropic.

Mistral, which operates from France, raised 3 billion euros ($3.4 billion) in Series D funding in September at a 21 billion euro valuation. That deal cemented its standing as one of the continent’s most heavily financed and highly valued AI startups.

Open Models Move To The Center Of The AI Contest

Access to open AI models has become a major flashpoint in the broader contest for technological leadership between the U.S. and China. Unlike closed systems from companies such as OpenAI and Anthropic, open models can be modified and self-hosted, giving developers and enterprises greater flexibility and control.

Chinese open models have been gaining traction globally, intensifying pressure on Western companies to close the performance gap. In that context, Mistral is pitching Large 4 as a competitive alternative built outside China and aimed at customers who want strong capability without depending entirely on closed platforms.

Built On Nvidia Hardware In Europe

Mistral said ML4 was trained on 4,000 Nvidia Grace Blackwell GPUs over two months, using the company’s own data centers in Europe. Nvidia’s hardware remains foundational to the most ambitious AI training runs, and Mistral’s infrastructure strategy highlights the scale now required to compete at the frontier.

The company said that when the model’s core parameters are released, ML4 will rank among the top open-weight models globally on aggregate benchmark performance. Mistral also said it is the strongest open-weight model developed outside China by a substantial margin.

Still Behind The Frontier In Some Areas

Even so, Mistral acknowledged that the model still trails the frontier in some disciplines, including coding. Co-founder and chief scientist Guillaume Lample said the company expects further gains as it expands training capacity after its latest fundraise.

“The model capabilities will further improve as we scale up our training capacity, following our Series D fundraise,” Lample said. He added that the model’s cyber defense capabilities are designed to help enterprises and governments defend against threat actors that attempt to jailbreak closed models for cyberattacks.

Why Cybersecurity Leaders Are Paying Attention

That emphasis on cyber matters because open models are increasingly being tested not just as productivity tools, but as defensive infrastructure. Earlier this year, Hugging Face disclosed that it had relied on Chinese-based Z.ai’s GLM 5.2 to defend against a breach involving rogue OpenAI agents after leading U.S. closed systems proved too restrictive under their guardrails.

The episode illustrated a broader market shift: organizations are increasingly willing to use whichever model performs best, regardless of geography, if it can solve a high-stakes operational problem.

Rivalry Among Open Model Developers Is Heating Up

The competitive landscape is also moving quickly. On Monday, Nvidia-backed U.S. startup Reflection AI unveiled its first open model, claiming performance comparable to GLM 5.2, which was later surpassed by GLM 5.3 in August. The pace of release shows how quickly the open-model market is evolving as startups and major AI players race to establish leadership.

For Mistral, the debut of Large 4 is more than a product launch. It is a strategic bid to remain relevant in a market increasingly shaped by scale, infrastructure access and the global competition for AI supremacy.

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